Supplements
Röttger Mareike
2025-05-23
Stimuli selection
Images were selected from the food-pics_extended database (Blechert et al., 2019), the Crocufid database (Toet et al., 2019), images taken by ourselves for the study and several free-to-use online databases. Below is a list of all stimuli, first listing object stimuli and then listing food stimuli. For each stimulus, a verbal description of the depicted stimulus is given (the images are available on osf), the image source and, for all stimuli taken from image repositories, the number under which the image can be found in the respective repository. In addition, for the food stimuli, we list the number of participants in the control group and in the intervention group for which this specific stimulus was selected as a goal-congruent (increase) or goal-incongruent (decrease) food.
| Number | Verbal Description | source | Number in Source Project | Control group Increase Food | Control group Decrease Food | Intervention group Increase Food | Intervention group Decrease Food | |
|---|---|---|---|---|---|---|---|---|
| 1 | f1 | Peanut flips | FoodPics | 152 | 1 | 0 | 1 | 0 |
| 12 | f2 | Mixed muesli | FoodPics | 227 | 12 | 5 | 7 | 5 |
| 23 | f3 | Nut mix | Own fotograph | NA | 15 | 2 | 13 | 2 |
| 34 | f4 | Fish | FoodPics | 307 | 7 | 0 | 2 | 2 |
| 45 | f5 | Salty snacks | FoodPics | 8 | 1 | 11 | 1 | 8 |
| 56 | f6 | Pizza | FoodPics | 131 | 1 | 4 | 1 | 5 |
| 67 | f7 | Honey | FreeImages | NA | 4 | 3 | 1 | 4 |
| 78 | f8 | Chicken nuggets | Pixabay | NA | 0 | 0 | 0 | 0 |
| 89 | f9 | Tofu | Pixabay | NA | 10 | 0 | 7 | 1 |
| 2 | f10 | Paprika | Crocufid | cro-0161 | 14 | 0 | 17 | 0 |
| 3 | f11 | Tea | Pixabay | NA | 14 | 2 | 24 | 1 |
| 4 | f12 | Fish sticks | FoodPics | 302 | 0 | 0 | 0 | 0 |
| 5 | f13 | Mushrooms | Pexels | NA | 11 | 1 | 7 | 0 |
| 6 | f14 | Salty pastries | FoodPics | 800 | 0 | 13 | 0 | 13 |
| 7 | f15 | Cucumber | FoodPics | 267 | 20 | 1 | 31 | 0 |
| 8 | f16 | Quinoa | Pixabay | NA | 19 | 0 | 16 | 0 |
| 9 | f17 | Mashed potatoes | FoodPics | 327 | 5 | 2 | 1 | 0 |
| 10 | f18 | Chocolate nuts | FoodPics | 297 | 0 | 1 | 0 | 4 |
| 11 | f19 | Hummus | Own fotograph | NA | 11 | 2 | 10 | 0 |
| 13 | f20 | Kiwi | Pexels | NA | 6 | 0 | 12 | 1 |
| 14 | f21 | Lasagne | FoodPics | 145 | 1 | 0 | 0 | 0 |
| 15 | f22 | Nuts in batter | Pixabay | NA | 0 | 0 | 0 | 1 |
| 16 | f23 | Zucchini | Pixabay | NA | 13 | 0 | 10 | 2 |
| 17 | f24 | Ice pop | Freepic | NA | 1 | 0 | 1 | 1 |
| 18 | f25 | Lentils | FoodPics | 884 | 8 | 0 | 13 | 2 |
| 19 | f26 | Avocado | FoodPics | 283 | 3 | 4 | 4 | 2 |
| 20 | f27 | Carrots | Pixabay | NA | 16 | 3 | 15 | 1 |
| 21 | f28 | Cappuccino | FoodPics | 472 | 4 | 20 | 1 | 15 |
| 22 | f29 | Salty crackers | Pixabay | NA | 0 | 2 | 1 | 0 |
| 24 | f30 | Milk | FreeImages | NA | 3 | 13 | 2 | 9 |
| 25 | f31 | Pottage | FoodPics | 693 | 19 | 1 | 10 | 0 |
| 26 | f32 | Caramel bar | Pixabay | NA | 1 | 11 | 0 | 10 |
| 27 | f33 | Marmalade | Pexels | NA | 3 | 9 | 0 | 9 |
| 28 | f34 | Spring rolls | Pixabay | NA | 1 | 0 | 0 | 1 |
| 29 | f35 | Butter | FoodPics | 64 | 0 | 26 | 0 | 15 |
| 30 | f36 | Mandarin/ oranges | FoodPics | 221 | 21 | 2 | 30 | 0 |
| 31 | f37 | Cereal bar | FoodPics | 180 | 3 | 7 | 1 | 9 |
| 32 | f38 | Wine gums | FoodPics | 339 | 0 | 9 | 0 | 13 |
| 33 | f39 | schnitzel | FoodPics | 309 | 0 | 1 | 0 | 0 |
| 35 | f40 | Chips | FoodPics | 43 | 0 | 13 | 1 | 14 |
| 36 | f41 | Egg | Pixabay | NA | 2 | 16 | 7 | 2 |
| 37 | f42 | Tortelloni | Unsplash | NA | 1 | 0 | 2 | 0 |
| 38 | f43 | Sausage | Pixabay | NA | 0 | 0 | 0 | 1 |
| 39 | f44 | Cornflakes | Unsplash | NA | 0 | 2 | 2 | 6 |
| 40 | f45 | Chicken meat | FoodPics | 301 | 4 | 6 | 4 | 4 |
| 41 | f46 | Softdrinks | Freepic | NA | 1 | 28 | 0 | 23 |
| 42 | f47 | Popcorn | FoodPics | 294 | 1 | 0 | 0 | 1 |
| 43 | f48 | Pancakes | FoodPics | 16 | 2 | 0 | 0 | 1 |
| 44 | f49 | Banana | Crocufid | cro-0068 | 16 | 6 | 8 | 1 |
| 46 | f50 | Cheese | FoodPics | 82 | 0 | 21 | 1 | 17 |
| 47 | f51 | Dumplings | Pixabay | NA | 2 | 0 | 1 | 0 |
| 48 | f52 | Pralines | Pixabay | NA | 1 | 13 | 2 | 11 |
| 49 | f53 | Burger | FoodPics | 2 | 0 | 1 | 0 | 1 |
| 50 | f54 | Grapes | FoodPics | 281 | 9 | 2 | 12 | 1 |
| 51 | f55 | Gnocchi | Freepic | NA | 1 | 0 | 0 | 1 |
| 52 | f56 | French fries | FoodPics | 22 | 1 | 8 | 0 | 8 |
| 53 | f57 | Waffles | Pixabay | NA | 2 | 1 | 1 | 2 |
| 54 | f58 | Cheese noodles | Pixabay | NA | 1 | 2 | 0 | 0 |
| 55 | f59 | Ice cream | Freepic | NA | 1 | 6 | 0 | 4 |
| 57 | f60 | Sushi | FoodPics | 745 | 3 | 0 | 2 | 0 |
| 58 | f61 | Apples | Crocufid | cro-0003 | 27 | 3 | 26 | 0 |
| 59 | f62 | Salad | Pexels | NA | 34 | 0 | 34 | 2 |
| 60 | f63 | Fruit juice | Pexels | NA | 4 | 7 | 5 | 11 |
| 61 | f64 | Potatoes | FoodPics | 317 | 11 | 8 | 7 | 3 |
| 62 | f65 | Meat loaf | Own fotograph | NA | 0 | 1 | 0 | 1 |
| 63 | f66 | Nachos | FreeImages | NA | 0 | 3 | 0 | 1 |
| 64 | f67 | Milk chocolate | FoodPics | 167 | 1 | 36 | 0 | 36 |
| 65 | f68 | Noodles | Freepic | NA | 0 | 24 | 2 | 24 |
| 66 | f69 | Nougat cream | FoodPics | 189 | 0 | 7 | 0 | 13 |
| 68 | f70 | Wraps | Freepic | NA | 2 | 1 | 3 | 2 |
| 69 | f71 | Biscuits | FoodPics | 4 | 0 | 16 | 3 | 18 |
| 70 | f72 | Berries | FoodPics | 224 | 24 | 1 | 21 | 0 |
| 71 | f73 | Oven baguette | Own fotograph | NA | 1 | 0 | 0 | 0 |
| 72 | f74 | Muffin | FoodPics | 80 | 0 | 0 | 0 | 2 |
| 73 | f75 | Sweet pastries | FoodPics | 126 | 1 | 16 | 0 | 16 |
| 74 | f76 | Sausage | Pixabay | NA | 1 | 13 | 1 | 10 |
| 75 | f77 | Cake | FoodPics, Pixabay | NA | 0 | 5 | 1 | 8 |
| 76 | f78 | Chickpea | Pixabay | NA | 19 | 0 | 7 | 0 |
| 77 | f79 | Dark chocolate | FoodPics | 879 | 3 | 5 | 1 | 6 |
| 79 | f80 | Fried noodles | Pexels | NA | 2 | 1 | 0 | 0 |
| 80 | f81 | Baguette | Pixabay | NA | 0 | 9 | 1 | 2 |
| 81 | f82 | Kebap | Freepic | NA | 0 | 1 | 1 | 0 |
| 82 | f83 | Toast | FoodPics | 469 | 0 | 10 | 1 | 13 |
| 83 | f84 | Beef | FoodPics | 563 | 1 | 2 | 0 | 5 |
| 84 | f85 | Yoghurt | iStock | NA | 14 | 3 | 8 | 3 |
| 85 | f86 | Chocolate wafers | Own fotograph | NA | 1 | 0 | 0 | 0 |
| 86 | f87 | Meatballs | Pixabay | NA | 2 | 1 | 1 | 0 |
| 87 | f88 | Vegetable patties | Own fotograph | NA | 2 | 0 | 6 | 0 |
| 88 | f89 | Wholemeal bread | FoodPics | 839 | 24 | 1 | 18 | 2 |
| 90 | f90 | Chocolate bar | FoodPics | 293 | 0 | 16 | 1 | 18 |
| 91 | o1 | Writing block | FoodPics | 1017 | NA | NA | NA | NA |
| 95 | o2 | Pencil case | FoodPics | 1094 | NA | NA | NA | NA |
| 96 | o3 | Calculator | FoodPics | 1140 | NA | NA | NA | NA |
| 97 | o4 | Stapler | FoodPics | 1142 | NA | NA | NA | NA |
| 98 | o5 | Pens | FoodPics | 1143 | NA | NA | NA | NA |
| 99 | o6 | Clipboard | FoodPics | 1146 | NA | NA | NA | NA |
| 100 | o7 | Paper clips | FoodPics | 1155 | NA | NA | NA | NA |
| 101 | o8 | Envelope | FRIEDa | AO_036 | NA | NA | NA | NA |
| 102 | o9 | Punch | FRIEDa | AO_119 | NA | NA | NA | NA |
| 92 | o10 | Eraser | FRIEDa | AO_120 | NA | NA | NA | NA |
| 93 | o11 | Protractor | FRIEDa | AO_226 | NA | NA | NA | NA |
| 94 | o12 | Ruler | FRIEDa | AO_104 | NA | NA | NA | NA |
Additional plots
The plots from the non-significant results for the change in outcome variables from baseline assessment to the post-intervention assessment to follow-up are included here. Specifically, this includes the change in craving probability and intake for decrease foods as well as the bias, craving and intake change for increase foods. All plots are build based on the raw data and show means as well as standard errors. Note that for plots showing probabilities, the y-axis is such that higher values indicate higher probabilities for occurrence.
Decrease foods
Increase foods
Statement of the convergence criteria and adaptations in case of convergence issues
For all models, we assessed model convergence by checking the following criteria for each parameter that was computed by the model: R-hat < 1.02 and ESS > 400. We also visually checked the caterpillar plots when model convergence was unclear. In case of non-convergence we increased the iterations. For the bias analyses, an adapt_delta of .99 was used, for the other analyses, we used an adapt_delta of .8. In case of divergent transitions, we also increased adapt_delta to .95 or .99.
Moderation Analyses
As pre-registered, we calculated interaction models with different participant-level, stimulus-level and training-level variables for the changes from pre- to post training. We added each moderator with an interaction to the models with all three outcome variables (approach bias, craving and intake). In all moderator multilevel models a random slope for time as well as a random intercept per participant and stimulus was included. For craving and intake, as we used hurdle-gamma models for the model prediction, in the model-based plots for the hurdle part of the model (“hu”) shown here a higher value stands for a higher probability of no craving/intake. The model-based plots where the outcome variable is indicated on the Y-axis are the results of the gamma part of the model predicting the intensity of craving/amount of intake when craving/intake occurred. An overview of effects can be found in the table below.
Note: The results depicted in this table are the results of the three-way interaction Group × Time × moderator of models examining the effects from pre- to post-intervention assessments. The values are the model estimates, the color indicates the probability of direction, i.e., the proportion of the posterior distribution that is either above or below 0 (whichever is more probable). The lines around the table fields indicate, whether the 89% or the 95% HDI (highest probability interval of the posterior distribution) are not including 0. Our computing power was not high enough to compute the models predicting Intake and Craving with a moderation by Intention, the models predicting Craving by Pre-training Craving as well as the models predicting approach bias by some of the UPPS subscales.
Participant-level moderators regarding traits
On a participant-level, we examined perceived self-regulatory success (PSRS scores), restrained eating (DEBQres) and Impulsivity (UPPS) as potential moderators. While the methods and the model results and plots for the moderation of craving intensity for decrease foods by PSRS and DEBQres are included in the paper, all other results are included here. They are, for each category and moderator, presented in the order: Approach bias, Craving, Intake. Regarding the UPPS, some of the models with approach bias as the outcome variable could not be computed with the given computing power.
Perceived Self-regulatory success (PSRS scores)
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5 Q97.5
## Intercept 67.577452 43.15870 -19.14784 153.68530
## is_post1 -12.112489 48.80193 -114.08429 76.72603
## is_active_training1 -10.061973 64.44527 -140.22774 113.89228
## PSRS -4.212876 11.60415 -26.97640 19.21182
## is_post1:is_active_training1 -128.684318 74.44801 -271.84219 20.56348
## is_post1:PSRS 3.374326 12.94230 -21.00307 29.58061
## is_active_training1:PSRS 6.214555 17.08758 -27.14062 41.07503
## is_post1:is_active_training1:PSRS 24.987718 19.85459 -14.88751 64.06192
## Craving## Craving ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.745165825 0.13015240 3.48415071
## hu_Intercept -1.882745285 0.53075746 -2.89354548
## is_post1 -0.001048752 0.13319608 -0.26728357
## is_active_training1 0.215327706 0.20133206 -0.18580966
## PSRS 0.009732594 0.03515861 -0.05994687
## is_post1:is_active_training1 -0.646578812 0.20718766 -1.03941118
## is_post1:PSRS -0.028670707 0.03514157 -0.09608294
## is_active_training1:PSRS -0.072670284 0.05393264 -0.18300041
## is_post1:is_active_training1:PSRS 0.128478430 0.05527167 0.02144002
## hu_is_post1 0.597564017 0.50466152 -0.40220412
## hu_is_active_training1 1.130802720 0.78878981 -0.43646274
## hu_PSRS 0.184133445 0.13855212 -0.08140217
## hu_is_post1:is_active_training1 0.193076579 0.74201291 -1.21554507
## hu_is_post1:PSRS -0.041259910 0.13268671 -0.29871476
## hu_is_active_training1:PSRS -0.246986063 0.21396029 -0.65325758
## hu_is_post1:is_active_training1:PSRS -0.129862778 0.20037588 -0.52386916
## Q97.5
## Intercept 3.99771965
## hu_Intercept -0.85333902
## is_post1 0.25113666
## is_active_training1 0.61843577
## PSRS 0.08006651
## is_post1:is_active_training1 -0.24124600
## is_post1:PSRS 0.04128068
## is_active_training1:PSRS 0.03366296
## is_post1:is_active_training1:PSRS 0.23517322
## hu_is_post1 1.57907229
## hu_is_active_training1 2.67016287
## hu_PSRS 0.44906255
## hu_is_post1:is_active_training1 1.67264704
## hu_is_post1:PSRS 0.22064699
## hu_is_active_training1:PSRS 0.17865221
## hu_is_post1:is_active_training1:PSRS 0.25816251
## Intake## Intake ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.48697438 0.16048419 3.18252325
## hu_Intercept -0.12829190 0.35787204 -0.85138567
## is_post1 -0.23468785 0.18399844 -0.61377176
## is_active_training1 0.19827953 0.24580575 -0.28174646
## PSRS 0.03522065 0.04233787 -0.04772688
## is_post1:is_active_training1 0.02165999 0.27148985 -0.52911789
## is_post1:PSRS 0.02711541 0.04886065 -0.06889055
## is_active_training1:PSRS -0.06442561 0.06592477 -0.19536210
## is_post1:is_active_training1:PSRS -0.01798522 0.07253823 -0.16047602
## hu_is_post1 0.29298739 0.37258762 -0.43070418
## hu_is_active_training1 0.14909004 0.51346815 -0.82643764
## hu_PSRS 0.09441007 0.09175742 -0.08838073
## hu_is_post1:is_active_training1 0.14953339 0.55782747 -0.95123024
## hu_is_post1:PSRS -0.04930367 0.09842028 -0.24281584
## hu_is_active_training1:PSRS -0.02264375 0.13521830 -0.29924762
## hu_is_post1:is_active_training1:PSRS -0.06949385 0.14887319 -0.35676080
## Q97.5
## Intercept 3.7934815
## hu_Intercept 0.5629871
## is_post1 0.1225083
## is_active_training1 0.6827885
## PSRS 0.1159690
## is_post1:is_active_training1 0.5622155
## is_post1:PSRS 0.1258787
## is_active_training1:PSRS 0.0656157
## is_post1:is_active_training1:PSRS 0.1268445
## hu_is_post1 1.0419335
## hu_is_active_training1 1.1774605
## hu_PSRS 0.2769182
## hu_is_post1:is_active_training1 1.2159075
## hu_is_post1:PSRS 0.1437155
## hu_is_active_training1:PSRS 0.2286333
## hu_is_post1:is_active_training1:PSRS 0.2249006
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5 Q97.5
## Intercept 106.256031 49.97675 8.340778 207.53525
## is_post1 -36.359130 62.56281 -162.444286 87.60971
## is_active_training1 -12.364977 70.34013 -153.309673 123.34494
## PSRS -13.684098 13.33077 -40.189312 13.27827
## is_post1:is_active_training1 -54.495898 89.56196 -228.973554 121.47525
## is_post1:PSRS 8.465390 16.62236 -24.143524 42.11336
## is_active_training1:PSRS 6.853042 18.89257 -30.337929 44.84191
## is_post1:is_active_training1:PSRS 10.875488 24.03757 -37.405349 58.15775
## Craving## Craving ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.581977549 0.14917332 3.29398734
## hu_Intercept -1.099985436 0.54085779 -2.13607785
## is_post1 -0.198706917 0.18233033 -0.54770025
## is_active_training1 0.143914090 0.21999203 -0.27961751
## PSRS 0.012704175 0.03987824 -0.06633276
## is_post1:is_active_training1 -0.053478683 0.27973276 -0.60802721
## is_post1:PSRS 0.016513921 0.04899318 -0.08172479
## is_active_training1:PSRS -0.041496753 0.05899394 -0.15713440
## is_post1:is_active_training1:PSRS 0.002951515 0.07356956 -0.13833655
## hu_is_post1 -0.101726497 0.53008805 -1.12288153
## hu_is_active_training1 2.070043428 0.82591376 0.45057842
## hu_PSRS 0.117748672 0.14362741 -0.17141014
## hu_is_post1:is_active_training1 0.841998233 0.79725559 -0.74727222
## hu_is_post1:PSRS 0.072025956 0.13694827 -0.19677546
## hu_is_active_training1:PSRS -0.501968809 0.22066741 -0.93221260
## hu_is_post1:is_active_training1:PSRS -0.329876168 0.21239092 -0.74776620
## Q97.5
## Intercept 3.87395899
## hu_Intercept -0.05632289
## is_post1 0.16547246
## is_active_training1 0.57977058
## PSRS 0.08968547
## is_post1:is_active_training1 0.48872922
## is_post1:PSRS 0.11003975
## is_active_training1:PSRS 0.07357399
## is_post1:is_active_training1:PSRS 0.15076590
## hu_is_post1 0.93863479
## hu_is_active_training1 3.68144627
## hu_PSRS 0.38697883
## hu_is_post1:is_active_training1 2.40490272
## hu_is_post1:PSRS 0.34434204
## hu_is_active_training1:PSRS -0.06846942
## hu_is_post1:is_active_training1:PSRS 0.08994989
## Intake## Intake ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * PSRS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.549927290 0.15976995 3.23514412
## hu_Intercept 0.288721884 0.45591623 -0.59542842
## is_post1 -0.355180210 0.22679486 -0.80507625
## is_active_training1 0.026111480 0.23330580 -0.43090334
## PSRS -0.008208638 0.04203355 -0.09134892
## is_post1:is_active_training1 -0.143374886 0.34374275 -0.81669751
## is_post1:PSRS 0.054190557 0.06049564 -0.06398499
## is_active_training1:PSRS 0.025323188 0.06252002 -0.09571240
## is_post1:is_active_training1:PSRS 0.006553240 0.09152990 -0.17422526
## hu_is_post1 -0.201879925 0.39781291 -0.99061152
## hu_is_active_training1 0.982978575 0.68031187 -0.37668291
## hu_PSRS 0.098911976 0.12124016 -0.14013172
## hu_is_post1:is_active_training1 0.331852440 0.59769779 -0.84423510
## hu_is_post1:PSRS 0.049741445 0.10434493 -0.15518250
## hu_is_active_training1:PSRS -0.261055221 0.18399175 -0.61651255
## hu_is_post1:is_active_training1:PSRS -0.153908394 0.15907708 -0.46211816
## Q97.5
## Intercept 3.86702058
## hu_Intercept 1.18705866
## is_post1 0.08530767
## is_active_training1 0.47820636
## PSRS 0.07433870
## is_post1:is_active_training1 0.52472392
## is_post1:PSRS 0.17335435
## is_active_training1:PSRS 0.14910515
## is_post1:is_active_training1:PSRS 0.18504398
## hu_is_post1 0.57932242
## hu_is_active_training1 2.31777629
## hu_PSRS 0.33237774
## hu_is_post1:is_active_training1 1.49755103
## hu_is_post1:PSRS 0.25376920
## hu_is_active_training1:PSRS 0.10610021
## hu_is_post1:is_active_training1:PSRS 0.15945993
Restrained Eating (DEBQres scores)
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept -6.692706 47.28352 -98.797369
## is_post1 48.558100 57.98084 -64.036553
## is_active_training1 116.180107 65.44620 -12.797567
## DEBQres 21.840057 16.96246 -9.771016
## is_post1:is_active_training1 -69.160960 79.27356 -229.481197
## is_post1:DEBQres -18.014628 20.88401 -59.304880
## is_active_training1:DEBQres -42.419396 25.94468 -93.423159
## is_post1:is_active_training1:DEBQres 10.574903 31.12022 -51.787069
## Q97.5
## Intercept 84.169983
## is_post1 168.666500
## is_active_training1 242.421210
## DEBQres 55.078512
## is_post1:is_active_training1 90.560765
## is_post1:DEBQres 23.025617
## is_active_training1:DEBQres 6.429159
## is_post1:is_active_training1:DEBQres 71.513450
## Craving## Craving ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.835032208 0.15457234 3.5220132
## hu_Intercept -1.584934109 0.60577975 -2.7835413
## is_post1 -0.120456702 0.16004491 -0.4471759
## is_active_training1 -0.123217258 0.21156038 -0.5314096
## DEBQres -0.021088577 0.05695253 -0.1351117
## is_post1:is_active_training1 0.246871937 0.21815887 -0.1724779
## is_post1:DEBQres 0.007132344 0.05895310 -0.1071171
## is_active_training1:DEBQres 0.031470126 0.08263639 -0.1341501
## is_post1:is_active_training1:DEBQres -0.187408920 0.08502387 -0.3572269
## hu_is_post1 0.952734250 0.56305921 -0.1184213
## hu_is_active_training1 1.222734278 0.84169579 -0.3910146
## hu_DEBQres 0.137978527 0.22138708 -0.2875550
## hu_is_post1:is_active_training1 -1.248720891 0.78940399 -2.7839317
## hu_is_post1:DEBQres -0.194323370 0.20546987 -0.5993574
## hu_is_active_training1:DEBQres -0.400581125 0.32964053 -1.0760005
## hu_is_post1:is_active_training1:DEBQres 0.405839281 0.30749672 -0.1933268
## Q97.5
## Intercept 4.15332228
## hu_Intercept -0.42979609
## is_post1 0.19096725
## is_active_training1 0.30377783
## DEBQres 0.09239358
## is_post1:is_active_training1 0.68464814
## is_post1:DEBQres 0.12903485
## is_active_training1:DEBQres 0.19191197
## is_post1:is_active_training1:DEBQres -0.02431416
## hu_is_post1 2.05000407
## hu_is_active_training1 2.95983270
## hu_DEBQres 0.57497183
## hu_is_post1:is_active_training1 0.26726855
## hu_is_post1:DEBQres 0.19524357
## hu_is_active_training1:DEBQres 0.23417824
## hu_is_post1:is_active_training1:DEBQres 0.99090923
## Intake## Intake ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.88398584 0.18582526 3.5284598
## hu_Intercept 0.38384828 0.42013060 -0.4222761
## is_post1 -0.06092203 0.21477408 -0.4768242
## is_active_training1 -0.26917299 0.26172414 -0.7792087
## DEBQres -0.10368683 0.06769155 -0.2376227
## is_post1:is_active_training1 0.18325934 0.28789142 -0.3884062
## is_post1:DEBQres -0.02940075 0.07865918 -0.1838934
## is_active_training1:DEBQres 0.08958890 0.10197715 -0.1130745
## is_post1:is_active_training1:DEBQres -0.10300887 0.11180556 -0.3210707
## hu_is_post1 0.56426125 0.44199930 -0.3190117
## hu_is_active_training1 -0.08499117 0.57413069 -1.1982418
## hu_DEBQres -0.06866885 0.14914200 -0.3655582
## hu_is_post1:is_active_training1 -0.72379141 0.62077905 -1.9136898
## hu_is_post1:DEBQres -0.17338039 0.16183948 -0.4879681
## hu_is_active_training1:DEBQres 0.05774570 0.22403930 -0.3957300
## hu_is_post1:is_active_training1:DEBQres 0.25239295 0.24288281 -0.2280275
## Q97.5
## Intercept 4.25201358
## hu_Intercept 1.22794635
## is_post1 0.36021967
## is_active_training1 0.25061747
## DEBQres 0.02883574
## is_post1:is_active_training1 0.75994255
## is_post1:DEBQres 0.12321993
## is_active_training1:DEBQres 0.29222504
## is_post1:is_active_training1:DEBQres 0.11926376
## hu_is_post1 1.40479216
## hu_is_active_training1 1.06512389
## hu_DEBQres 0.21988203
## hu_is_post1:is_active_training1 0.48884672
## hu_is_post1:DEBQres 0.15092693
## hu_is_active_training1:DEBQres 0.49787215
## hu_is_post1:is_active_training1:DEBQres 0.72550824
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5 Q97.5
## Intercept -7.418515 53.45364 -110.96464 99.63431
## is_post1 87.157123 66.91924 -44.15357 220.66724
## is_active_training1 73.732635 77.43124 -75.86265 230.68438
## DEBQres 24.856432 19.40547 -12.89819 62.23495
## is_post1:is_active_training1 -115.465352 96.69252 -300.06399 75.07673
## is_post1:DEBQres -35.458030 24.34280 -82.31235 11.95098
## is_active_training1:DEBQres -23.966080 30.78115 -85.71190 34.76274
## is_post1:is_active_training1:DEBQres 38.959565 38.93559 -35.28284 113.05988
## Craving## Craving ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.582911307 0.17627244 3.2240124
## hu_Intercept -0.959331928 0.66508212 -2.2824411
## is_post1 0.008512985 0.21495062 -0.4087665
## is_active_training1 0.268510086 0.24548805 -0.2072768
## DEBQres 0.017642934 0.06583242 -0.1094707
## is_post1:is_active_training1 -0.046067960 0.30171228 -0.6445383
## is_post1:DEBQres -0.057522748 0.08019526 -0.2122381
## is_active_training1:DEBQres -0.115463171 0.09636290 -0.3010001
## is_post1:is_active_training1:DEBQres -0.007057853 0.11910783 -0.2442840
## hu_is_post1 0.105617090 0.56670923 -1.0105566
## hu_is_active_training1 0.743754134 0.90499934 -1.0850091
## hu_DEBQres 0.108366016 0.24276222 -0.3603919
## hu_is_post1:is_active_training1 -1.522656137 0.80846835 -3.1366755
## hu_is_post1:DEBQres 0.019811921 0.20530726 -0.3911368
## hu_is_active_training1:DEBQres -0.190762633 0.35522635 -0.8652763
## hu_is_post1:is_active_training1:DEBQres 0.524756233 0.31916647 -0.0754338
## Q97.5
## Intercept 3.93804647
## hu_Intercept 0.30876161
## is_post1 0.42854658
## is_active_training1 0.75120993
## DEBQres 0.14783371
## is_post1:is_active_training1 0.54930584
## is_post1:DEBQres 0.10255161
## is_active_training1:DEBQres 0.07262939
## is_post1:is_active_training1:DEBQres 0.23010437
## hu_is_post1 1.22207840
## hu_is_active_training1 2.54143057
## hu_DEBQres 0.58282022
## hu_is_post1:is_active_training1 0.04798746
## hu_is_post1:DEBQres 0.42060761
## hu_is_active_training1:DEBQres 0.52354782
## hu_is_post1:is_active_training1:DEBQres 1.16046753
## Intake## Intake ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * DEBQres + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.50154903 0.18773704 3.1200290
## hu_Intercept 1.38137502 0.55022536 0.2885560
## is_post1 0.14053819 0.28047560 -0.4021849
## is_active_training1 0.24233635 0.24620586 -0.2418848
## DEBQres 0.00854816 0.06818398 -0.1236523
## is_post1:is_active_training1 -0.23226725 0.35943891 -0.9365271
## is_post1:DEBQres -0.11626867 0.10206737 -0.3108539
## is_active_training1:DEBQres -0.05434262 0.09573616 -0.2405657
## is_post1:is_active_training1:DEBQres 0.03225262 0.14083384 -0.2332611
## hu_is_post1 -0.06729846 0.47217112 -0.9921229
## hu_is_active_training1 -0.96122454 0.75910140 -2.4007366
## hu_DEBQres -0.28034281 0.20081056 -0.6708611
## hu_is_post1:is_active_training1 -0.87626759 0.62963674 -2.0938465
## hu_is_post1:DEBQres 0.01762452 0.17115143 -0.3179721
## hu_is_active_training1:DEBQres 0.40400736 0.29388113 -0.1578195
## hu_is_post1:is_active_training1:DEBQres 0.29084678 0.24710846 -0.1997384
## Q97.5
## Intercept 3.86566253
## hu_Intercept 2.45723025
## is_post1 0.68168100
## is_active_training1 0.71965667
## DEBQres 0.14676758
## is_post1:is_active_training1 0.46048817
## is_post1:DEBQres 0.08998172
## is_active_training1:DEBQres 0.13267792
## is_post1:is_active_training1:DEBQres 0.30696481
## hu_is_post1 0.86159708
## hu_is_active_training1 0.56649504
## hu_DEBQres 0.12717060
## hu_is_post1:is_active_training1 0.36353154
## hu_is_post1:DEBQres 0.34822034
## hu_is_active_training1:DEBQres 0.96505491
## hu_is_post1:is_active_training1:DEBQres 0.77629405
Impulsivity (UPPS scores)
Decrease foods:
## Approach Bias - Subscale: UPPS Perseverance## bias_stim ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5 Q97.5
## Intercept 102.716860 66.63152 -29.12199 231.99271
## is_post1 -86.477495 76.15026 -236.66743 62.05601
## is_active_training1 86.994144 105.11267 -119.51340 293.62604
## UPPSpers -17.577112 22.32069 -60.87773 26.05963
## is_post1:is_active_training1 -9.728344 116.65378 -234.84010 223.48000
## is_post1:UPPSpers 29.867300 25.41786 -20.39426 79.86345
## is_active_training1:UPPSpers -24.201968 34.67435 -93.65219 44.20490
## is_post1:is_active_training1:UPPSpers -10.578940 38.28931 -86.10947 64.13056
## Approach Bias - Subscale: UPPS Premeditation## bias_stim ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5 Q97.5
## Intercept 19.54686 80.61389 -134.06275 187.253545
## is_post1 -66.35195 90.92301 -244.89553 109.309193
## is_active_training1 218.36699 117.98370 -14.89919 451.430823
## UPPSprem 10.70901 26.41647 -43.16220 61.253511
## is_post1:is_active_training1 -84.32448 132.55677 -340.38876 179.744851
## is_post1:UPPSprem 22.50167 30.10733 -36.52645 80.470564
## is_active_training1:UPPSprem -68.52304 38.32593 -143.85461 7.908344
## is_post1:is_active_training1:UPPSprem 15.20035 43.36324 -71.00754 99.333051
## Craving - Subscale: UPPS Perseverance## Craving ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 4.063066540 0.19531802 3.67323320
## hu_Intercept -2.990118815 0.78899933 -4.54765110
## is_post1 -0.259525831 0.21695625 -0.68563661
## is_active_training1 -0.354234003 0.31776119 -0.97788900
## UPPSpers -0.098270714 0.06600833 -0.22806558
## is_post1:is_active_training1 -0.186946072 0.34617945 -0.85335169
## is_post1:UPPSpers 0.055106541 0.07307557 -0.08818380
## is_active_training1:UPPSpers 0.106942172 0.10457127 -0.09598554
## is_post1:is_active_training1:UPPSpers -0.003941258 0.11339184 -0.22432309
## hu_is_post1 1.572528652 0.78055601 0.04711448
## hu_is_active_training1 0.591430744 1.21075100 -1.76939471
## hu_UPPSpers 0.607374043 0.26326415 0.08205192
## hu_is_post1:is_active_training1 -0.584408464 1.20587946 -3.01245930
## hu_is_post1:UPPSpers -0.382945109 0.25701568 -0.88935193
## hu_is_active_training1:UPPSpers -0.136265489 0.39321802 -0.90996724
## hu_is_post1:is_active_training1:UPPSpers 0.120642929 0.39110757 -0.62904414
## Q97.5
## Intercept 4.44627533
## hu_Intercept -1.41667976
## is_post1 0.16569662
## is_active_training1 0.25594393
## UPPSpers 0.03023562
## is_post1:is_active_training1 0.48020214
## is_post1:UPPSpers 0.19874959
## is_active_training1:UPPSpers 0.30515072
## is_post1:is_active_training1:UPPSpers 0.21518448
## hu_is_post1 3.09769101
## hu_is_active_training1 2.99478193
## hu_UPPSpers 1.12278551
## hu_is_post1:is_active_training1 1.77794033
## hu_is_post1:UPPSpers 0.12565140
## hu_is_active_training1:UPPSpers 0.62067795
## hu_is_post1:is_active_training1:UPPSpers 0.91099901
## Craving - Subscale: UPPS Premeditation## Craving ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 4.203885743 0.23499875 3.73292357
## hu_Intercept -1.537942948 0.98273978 -3.42733762
## is_post1 -0.382178845 0.27189244 -0.91459572
## is_active_training1 -0.794112502 0.35621132 -1.48796924
## UPPSprem -0.140784499 0.07649142 -0.28501473
## is_post1:is_active_training1 -0.002853898 0.39969015 -0.77676153
## is_post1:UPPSprem 0.093223263 0.08855689 -0.07761989
## is_active_training1:UPPSprem 0.248709850 0.11503392 0.01745203
## is_post1:is_active_training1:UPPSprem -0.062709358 0.12969798 -0.31745516
## hu_is_post1 1.774461346 0.88239882 0.06982622
## hu_is_active_training1 1.354274415 1.43104840 -1.55228975
## hu_UPPSprem 0.099530956 0.32202876 -0.54528580
## hu_is_post1:is_active_training1 -1.566783973 1.29848080 -4.10183325
## hu_is_post1:UPPSprem -0.436118277 0.28628667 -0.98499476
## hu_is_active_training1:UPPSprem -0.360281601 0.46851459 -1.27387654
## hu_is_post1:is_active_training1:UPPSprem 0.430644355 0.41884239 -0.35680571
## Q97.5
## Intercept 4.64213554
## hu_Intercept 0.44676370
## is_post1 0.14164989
## is_active_training1 -0.08289567
## UPPSprem 0.01085771
## is_post1:is_active_training1 0.76707875
## is_post1:UPPSprem 0.26363065
## is_active_training1:UPPSprem 0.47376240
## is_post1:is_active_training1:UPPSprem 0.19073162
## hu_is_post1 3.46922840
## hu_is_active_training1 4.14509762
## hu_UPPSprem 0.71385216
## hu_is_post1:is_active_training1 0.87948449
## hu_is_post1:UPPSprem 0.12243264
## hu_is_active_training1:UPPSprem 0.58662888
## hu_is_post1:is_active_training1:UPPSprem 1.23650376
## Craving - Subscale: UPPS Sensation Seeking## Craving ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.64284901 0.14311859 3.35848019
## hu_Intercept -1.15649074 0.58997036 -2.32089468
## is_post1 -0.12834642 0.15062421 -0.42387088
## is_active_training1 0.09047050 0.23101778 -0.34628601
## UPPSsen 0.05851834 0.05830204 -0.05878349
## is_post1:is_active_training1 -0.24820167 0.24786707 -0.73172492
## is_post1:UPPSsen 0.01084834 0.06109015 -0.10874696
## is_active_training1:UPPSsen -0.05678961 0.09046195 -0.23715241
## is_post1:is_active_training1:UPPSsen 0.02306896 0.09725791 -0.16645675
## hu_is_post1 0.52079733 0.56012306 -0.56221543
## hu_is_active_training1 1.30079009 0.95064026 -0.54399775
## hu_UPPSsen -0.02649196 0.23957083 -0.49330911
## hu_is_post1:is_active_training1 -1.20155933 0.89877749 -2.97606178
## hu_is_post1:UPPSsen -0.03083392 0.22756350 -0.47932340
## hu_is_active_training1:UPPSsen -0.41301945 0.37353277 -1.14367011
## hu_is_post1:is_active_training1:UPPSsen 0.37646889 0.35575813 -0.33639899
## Q97.5
## Intercept 3.92813716
## hu_Intercept -0.01118785
## is_post1 0.17479085
## is_active_training1 0.55062856
## UPPSsen 0.17324168
## is_post1:is_active_training1 0.22884078
## is_post1:UPPSsen 0.12932185
## is_active_training1:UPPSsen 0.11376642
## is_post1:is_active_training1:UPPSsen 0.21678457
## hu_is_post1 1.61224858
## hu_is_active_training1 3.14322154
## hu_UPPSsen 0.44576255
## hu_is_post1:is_active_training1 0.58124944
## hu_is_post1:UPPSsen 0.41297299
## hu_is_active_training1:UPPSsen 0.31427762
## hu_is_post1:is_active_training1:UPPSsen 1.07804445
## Craving - Subscale: UPPS Urgency## Craving ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.675315921 0.18665288 3.3010750
## hu_Intercept -0.128896001 0.75299314 -1.5680826
## is_post1 -0.103158445 0.20466378 -0.5203822
## is_active_training1 0.153235674 0.26441141 -0.3748523
## UPPSurg 0.046926316 0.07947785 -0.1062938
## is_post1:is_active_training1 -0.172923953 0.28057472 -0.7150684
## is_post1:UPPSurg -0.000020869 0.08720258 -0.1683477
## is_active_training1:UPPSurg -0.089064177 0.11448978 -0.3229002
## is_post1:is_active_training1:UPPSurg -0.006488265 0.12101913 -0.2413747
## hu_is_post1 0.417216712 0.72260649 -0.9683696
## hu_is_active_training1 -0.028255480 1.01815671 -2.0419009
## hu_UPPSurg -0.481435721 0.32296135 -1.1249325
## hu_is_post1:is_active_training1 -1.042183708 1.01519520 -3.0164563
## hu_is_post1:UPPSurg 0.013323877 0.31341085 -0.5942275
## hu_is_active_training1:UPPSurg 0.114671560 0.44744529 -0.7563299
## hu_is_post1:is_active_training1:UPPSurg 0.358200330 0.44461505 -0.5041616
## Q97.5
## Intercept 4.0469977
## hu_Intercept 1.3374621
## is_post1 0.2885088
## is_active_training1 0.6870966
## UPPSurg 0.2070812
## is_post1:is_active_training1 0.3828808
## is_post1:UPPSurg 0.1741246
## is_active_training1:UPPSurg 0.1416298
## is_post1:is_active_training1:UPPSurg 0.2244809
## hu_is_post1 1.8284260
## hu_is_active_training1 1.9777931
## hu_UPPSurg 0.1473159
## hu_is_post1:is_active_training1 0.8896659
## hu_is_post1:UPPSurg 0.6233080
## hu_is_active_training1:UPPSurg 1.0002251
## hu_is_post1:is_active_training1:UPPSurg 1.2430550
## Intake - Subscale: UPPS Perseverance## Intake ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 4.146829981 0.23286376 3.6914935
## hu_Intercept -0.462483814 0.54534816 -1.5509049
## is_post1 -0.266518463 0.27379631 -0.8134131
## is_active_training1 0.032804713 0.36220324 -0.6821820
## UPPSpers -0.186231499 0.07780706 -0.3381770
## is_post1:is_active_training1 -0.452646889 0.43882906 -1.3132751
## is_post1:UPPSpers 0.045634946 0.09194733 -0.1318518
## is_active_training1:UPPSpers -0.009326027 0.11809609 -0.2344121
## is_post1:is_active_training1:UPPSpers 0.130317546 0.14303116 -0.1597655
## hu_is_post1 0.976200439 0.60590328 -0.2148468
## hu_is_active_training1 -0.023472143 0.85109265 -1.7206697
## hu_UPPSpers 0.227553419 0.17990882 -0.1347344
## hu_is_post1:is_active_training1 -0.335173909 0.93263086 -2.1564323
## hu_is_post1:UPPSpers -0.294776288 0.20264918 -0.6802585
## hu_is_active_training1:UPPSpers 0.016553405 0.27892785 -0.5234055
## hu_is_post1:is_active_training1:UPPSpers 0.094071488 0.30499362 -0.5062061
## Q97.5
## Intercept 4.60190771
## hu_Intercept 0.63722409
## is_post1 0.26118750
## is_active_training1 0.72359195
## UPPSpers -0.03382661
## is_post1:is_active_training1 0.44655560
## is_post1:UPPSpers 0.23130623
## is_active_training1:UPPSpers 0.22408968
## is_post1:is_active_training1:UPPSpers 0.41219075
## hu_is_post1 2.13422641
## hu_is_active_training1 1.61637106
## hu_UPPSpers 0.58013034
## hu_is_post1:is_active_training1 1.50242636
## hu_is_post1:UPPSpers 0.10506673
## hu_is_active_training1:UPPSpers 0.57294049
## hu_is_post1:is_active_training1:UPPSpers 0.68507387
## Intake - Subscale: UPPS Premeditation## Intake ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 4.17852353 0.28280544 3.62321863
## hu_Intercept -0.16064141 0.63719104 -1.39180273
## is_post1 0.01032602 0.34841628 -0.69183642
## is_active_training1 -0.79596316 0.42182759 -1.61798824
## UPPSprem -0.19015479 0.09311912 -0.37452019
## is_post1:is_active_training1 0.11274285 0.50450379 -0.87070046
## is_post1:UPPSprem -0.04804981 0.11314092 -0.26892550
## is_active_training1:UPPSprem 0.25573142 0.13764084 -0.01193618
## is_post1:is_active_training1:UPPSprem -0.05115553 0.16421439 -0.37616122
## hu_is_post1 1.28860290 0.72686562 -0.15450094
## hu_is_active_training1 0.48828609 0.92494677 -1.29469319
## hu_UPPSprem 0.12040844 0.20918798 -0.29703008
## hu_is_post1:is_active_training1 -2.25934962 1.06000959 -4.36669398
## hu_is_post1:UPPSprem -0.38906157 0.23813808 -0.86243763
## hu_is_active_training1:UPPSprem -0.14004810 0.30208372 -0.72552215
## hu_is_post1:is_active_training1:UPPSprem 0.71600977 0.34498934 0.04533067
## Q97.5
## Intercept 4.734812279
## hu_Intercept 1.097726225
## is_post1 0.682848055
## is_active_training1 0.016607802
## UPPSprem -0.009351314
## is_post1:is_active_training1 1.082896950
## is_post1:UPPSprem 0.179205690
## is_active_training1:UPPSprem 0.525647656
## is_post1:is_active_training1:UPPSprem 0.267392255
## hu_is_post1 2.713660464
## hu_is_active_training1 2.277962901
## hu_UPPSprem 0.531247292
## hu_is_post1:is_active_training1 -0.181574534
## hu_is_post1:UPPSprem 0.081699604
## hu_is_active_training1:UPPSprem 0.447285413
## hu_is_post1:is_active_training1:UPPSprem 1.404088909
## Intake - Subscale: UPPS Sensation Seeking## Intake ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.54713540 0.18068268 3.1788798
## hu_Intercept 0.43851145 0.38652004 -0.3281913
## is_post1 -0.23885916 0.19879319 -0.6324802
## is_active_training1 0.07975848 0.27113267 -0.4386116
## UPPSsen 0.02625426 0.07265893 -0.1133424
## is_post1:is_active_training1 0.20481888 0.30881380 -0.4100112
## is_post1:UPPSsen 0.04359680 0.08025311 -0.1131703
## is_active_training1:UPPSsen -0.04442426 0.10729730 -0.2567172
## is_post1:is_active_training1:UPPSsen -0.10245145 0.12186268 -0.3444637
## hu_is_post1 -0.16851557 0.41247599 -0.9888239
## hu_is_active_training1 -0.63820766 0.59694774 -1.8090373
## hu_UPPSsen -0.09754914 0.15361115 -0.3931981
## hu_is_post1:is_active_training1 0.72641045 0.66473696 -0.5691787
## hu_is_post1:UPPSsen 0.12055547 0.16692265 -0.2103056
## hu_is_active_training1:UPPSsen 0.28544230 0.23269373 -0.1710336
## hu_is_post1:is_active_training1:UPPSsen -0.33186042 0.26215799 -0.8720565
## Q97.5
## Intercept 3.8931283
## hu_Intercept 1.1909235
## is_post1 0.1453111
## is_active_training1 0.6136340
## UPPSsen 0.1704941
## is_post1:is_active_training1 0.8108310
## is_post1:UPPSsen 0.2032846
## is_active_training1:UPPSsen 0.1629853
## is_post1:is_active_training1:UPPSsen 0.1369550
## hu_is_post1 0.6479201
## hu_is_active_training1 0.5086953
## hu_UPPSsen 0.2057367
## hu_is_post1:is_active_training1 2.0487115
## hu_is_post1:UPPSsen 0.4510862
## hu_is_active_training1:UPPSsen 0.7324700
## hu_is_post1:is_active_training1:UPPSsen 0.1716864
## Intake - Subscale: UPPS Urgency## Intake ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.492093869 0.23194655 3.0461362
## hu_Intercept 0.897062996 0.50718229 -0.0805198
## is_post1 -0.102839967 0.24596197 -0.5934314
## is_active_training1 -0.200147753 0.32492146 -0.8284768
## UPPSurg 0.051964026 0.09868846 -0.1352624
## is_post1:is_active_training1 0.245611534 0.34827606 -0.4524576
## is_post1:UPPSurg -0.015066459 0.10473352 -0.2212140
## is_active_training1:UPPSurg 0.080871437 0.14105169 -0.2010466
## is_post1:is_active_training1:UPPSurg -0.133229088 0.15125308 -0.4369910
## hu_is_post1 -0.007340164 0.55862879 -1.0734362
## hu_is_active_training1 -0.792121746 0.68084456 -2.1185712
## hu_UPPSurg -0.305744014 0.21222208 -0.7271013
## hu_is_post1:is_active_training1 0.856910251 0.76643706 -0.7109932
## hu_is_post1:UPPSurg 0.056524534 0.24019579 -0.4217585
## hu_is_active_training1:UPPSurg 0.383831792 0.29481502 -0.1964068
## hu_is_post1:is_active_training1:UPPSurg -0.431986777 0.33742691 -1.0751691
## Q97.5
## Intercept 3.93646430
## hu_Intercept 1.89042782
## is_post1 0.37679813
## is_active_training1 0.44235522
## UPPSurg 0.24099606
## is_post1:is_active_training1 0.93615153
## is_post1:UPPSurg 0.19331707
## is_active_training1:UPPSurg 0.35017625
## is_post1:is_active_training1:UPPSurg 0.17441780
## hu_is_post1 1.11553087
## hu_is_active_training1 0.54492783
## hu_UPPSurg 0.09735915
## hu_is_post1:is_active_training1 2.31342444
## hu_is_post1:UPPSurg 0.50936526
## hu_is_active_training1:UPPSurg 0.96837643
## hu_is_post1:is_active_training1:UPPSurg 0.25504176
Increase foods:
## Approach Bias - Subscale: UPPS Perseverance## bias_stim ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5 Q97.5
## Intercept 145.11069 69.82006 12.09362 283.47750
## is_post1 -129.02601 87.71893 -305.33893 35.91573
## is_active_training1 79.62260 112.13981 -140.78663 296.84884
## UPPSpers -29.92869 23.23702 -76.54863 14.29151
## is_post1:is_active_training1 -109.65569 141.22211 -392.67486 168.10044
## is_post1:UPPSpers 42.29363 29.04228 -12.88292 100.21185
## is_active_training1:UPPSpers -21.76410 37.00678 -93.33792 49.94228
## is_post1:is_active_training1:UPPSpers 29.54171 46.14263 -60.25066 120.84546
## Craving - Subscale: UPPS Perseverance## Craving ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.361588319 0.22880137 2.91004990
## hu_Intercept -0.670573510 0.83411256 -2.33715729
## is_post1 0.223877127 0.28222830 -0.34187877
## is_active_training1 0.059909855 0.36012805 -0.62331382
## UPPSpers 0.091395811 0.07704718 -0.05732476
## is_post1:is_active_training1 -0.212067250 0.45049332 -1.09656574
## is_post1:UPPSpers -0.124496294 0.09479244 -0.31047312
## is_active_training1:UPPSpers -0.025531913 0.11831426 -0.25437884
## is_post1:is_active_training1:UPPSpers 0.061539183 0.14701984 -0.22192549
## hu_is_post1 0.099202199 0.78476382 -1.47846040
## hu_is_active_training1 -0.421070659 1.36348377 -3.12564304
## hu_UPPSpers -0.003949239 0.27694054 -0.54928180
## hu_is_post1:is_active_training1 0.966029029 1.22236076 -1.44295033
## hu_is_post1:UPPSpers 0.020192446 0.26208879 -0.47673665
## hu_is_active_training1:UPPSpers 0.227725158 0.44450418 -0.66325090
## hu_is_post1:is_active_training1:UPPSpers -0.424246333 0.39959738 -1.20235782
## Q97.5
## Intercept 3.81200816
## hu_Intercept 0.94497367
## is_post1 0.77296116
## is_active_training1 0.77829870
## UPPSpers 0.24109814
## is_post1:is_active_training1 0.67750598
## is_post1:UPPSpers 0.06316536
## is_active_training1:UPPSpers 0.20049074
## is_post1:is_active_training1:UPPSpers 0.35400766
## hu_is_post1 1.58245127
## hu_is_active_training1 2.27692515
## hu_UPPSpers 0.55219225
## hu_is_post1:is_active_training1 3.32860885
## hu_is_post1:UPPSpers 0.52898148
## hu_is_active_training1:UPPSpers 1.12876979
## hu_is_post1:is_active_training1:UPPSpers 0.35509029
## Craving - Subscale: UPPS Premeditation## Craving ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.57798457 0.27361424 3.0443443
## hu_Intercept 1.01241760 0.96536664 -0.8925634
## is_post1 0.19958505 0.35865642 -0.4875445
## is_active_training1 -0.34860791 0.39592878 -1.1316567
## UPPSprem 0.01665856 0.08891001 -0.1575759
## is_post1:is_active_training1 -0.16191939 0.52022356 -1.1769804
## is_post1:UPPSprem -0.11130172 0.11550526 -0.3497601
## is_active_training1:UPPSprem 0.11283210 0.12873466 -0.1362034
## is_post1:is_active_training1:UPPSprem 0.03970742 0.16817739 -0.2854468
## hu_is_post1 1.15312522 0.95332467 -0.7339232
## hu_is_active_training1 -1.78697045 1.39502488 -4.5642624
## hu_UPPSprem -0.56684542 0.31733001 -1.2003177
## hu_is_post1:is_active_training1 -0.55201503 1.35174472 -3.1347295
## hu_is_post1:UPPSprem -0.32899176 0.31330136 -0.9518139
## hu_is_active_training1:UPPSprem 0.68687049 0.45422106 -0.2010777
## hu_is_post1:is_active_training1:UPPSprem 0.07692681 0.44115667 -0.8172183
## Q97.5
## Intercept 4.11126950
## hu_Intercept 2.96395537
## is_post1 0.95577134
## is_active_training1 0.42445674
## UPPSprem 0.19105727
## is_post1:is_active_training1 0.88082986
## is_post1:UPPSprem 0.10371547
## is_active_training1:UPPSprem 0.36263412
## is_post1:is_active_training1:UPPSprem 0.37026977
## hu_is_post1 3.07742553
## hu_is_active_training1 0.93380194
## hu_UPPSprem 0.06372106
## hu_is_post1:is_active_training1 2.10891811
## hu_is_post1:UPPSprem 0.28067077
## hu_is_active_training1:UPPSprem 1.59099525
## hu_is_post1:is_active_training1:UPPSprem 0.94192827
## Craving - Subscale: UPPS Sensation Seeking## Craving ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.58517861 0.16605853 3.2591244
## hu_Intercept -1.04646717 0.62915504 -2.2916147
## is_post1 -0.23979602 0.19501242 -0.6235040
## is_active_training1 0.02038964 0.27384980 -0.5256564
## UPPSsen 0.01864092 0.06685458 -0.1128587
## is_post1:is_active_training1 0.02218845 0.33129972 -0.6212247
## is_post1:UPPSsen 0.04279767 0.07991756 -0.1130750
## is_active_training1:UPPSsen -0.01059268 0.10624224 -0.2252971
## is_post1:is_active_training1:UPPSsen -0.02851973 0.12979984 -0.2821117
## hu_is_post1 0.41049792 0.57639421 -0.7204228
## hu_is_active_training1 2.24300550 0.95927757 0.3657005
## hu_UPPSsen 0.15717344 0.25539316 -0.3333853
## hu_is_post1:is_active_training1 -1.64000446 0.89246919 -3.4285217
## hu_is_post1:UPPSsen -0.11345302 0.23295688 -0.5799236
## hu_is_active_training1:UPPSsen -0.78476273 0.38421892 -1.5571359
## hu_is_post1:is_active_training1:UPPSsen 0.53891175 0.35360113 -0.1452775
## Q97.5
## Intercept 3.90476397
## hu_Intercept 0.16780586
## is_post1 0.14199525
## is_active_training1 0.56512484
## UPPSsen 0.15096848
## is_post1:is_active_training1 0.67067424
## is_post1:UPPSsen 0.19787517
## is_active_training1:UPPSsen 0.20535041
## is_post1:is_active_training1:UPPSsen 0.22093591
## hu_is_post1 1.55362536
## hu_is_active_training1 4.17337100
## hu_UPPSsen 0.66439268
## hu_is_post1:is_active_training1 0.04880164
## hu_is_post1:UPPSsen 0.34296541
## hu_is_active_training1:UPPSsen -0.02473180
## hu_is_post1:is_active_training1:UPPSsen 1.24637842
## Craving - Subscale: UPPS Urgency## Craving ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.607960677 0.2221658 3.17818223
## hu_Intercept -0.713822601 0.8220411 -2.32258340
## is_post1 -0.289302645 0.2634156 -0.80622404
## is_active_training1 0.218463010 0.2993957 -0.36810139
## UPPSurg 0.009195378 0.0951042 -0.17589732
## is_post1:is_active_training1 -0.035156081 0.3564698 -0.72909784
## is_post1:UPPSurg 0.065631763 0.1138491 -0.16442101
## is_active_training1:UPPSurg -0.100621421 0.1300736 -0.35372124
## is_post1:is_active_training1:UPPSurg -0.001549163 0.1557203 -0.32017937
## hu_is_post1 0.917175473 0.7000021 -0.45129789
## hu_is_active_training1 1.413000722 1.1458409 -0.83199385
## hu_UPPSurg 0.015436832 0.3488325 -0.67450380
## hu_is_post1:is_active_training1 -2.395365068 1.0024359 -4.44508768
## hu_is_post1:UPPSurg -0.339168871 0.3030699 -0.92985009
## hu_is_active_training1:UPPSurg -0.519572759 0.5000392 -1.52884351
## hu_is_post1:is_active_training1:UPPSurg 0.936398961 0.4404452 0.04695637
## Q97.5
## Intercept 4.0433112
## hu_Intercept 0.9054467
## is_post1 0.2355201
## is_active_training1 0.8018335
## UPPSurg 0.1915723
## is_post1:is_active_training1 0.6585386
## is_post1:UPPSurg 0.2889855
## is_active_training1:UPPSurg 0.1545527
## is_post1:is_active_training1:UPPSurg 0.2986886
## hu_is_post1 2.3121352
## hu_is_active_training1 3.7377696
## hu_UPPSurg 0.7072783
## hu_is_post1:is_active_training1 -0.4039238
## hu_is_post1:UPPSurg 0.2523385
## hu_is_active_training1:UPPSurg 0.4599903
## hu_is_post1:is_active_training1:UPPSurg 1.8179619
## Intake - Subscale: UPPS Perseverance## Intake ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSpers + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.547016479 0.25771834 3.0441787
## hu_Intercept 1.782397229 0.70715658 0.3852479
## is_post1 -0.438091374 0.39369370 -1.2318994
## is_active_training1 0.187389196 0.37140591 -0.5471990
## UPPSpers -0.007898638 0.08482436 -0.1750972
## is_post1:is_active_training1 0.064287644 0.58672059 -1.0977726
## is_post1:UPPSpers 0.092229837 0.12960933 -0.1609767
## is_active_training1:UPPSpers -0.023013592 0.12096746 -0.2611492
## is_post1:is_active_training1:UPPSpers -0.061671098 0.19054357 -0.4431894
## hu_is_post1 -0.326788654 0.62526159 -1.5659166
## hu_is_active_training1 -1.731334978 1.08897708 -3.8279651
## hu_UPPSpers -0.390497366 0.23551716 -0.8376624
## hu_is_post1:is_active_training1 0.439561740 0.95709989 -1.4800333
## hu_is_post1:UPPSpers 0.103640650 0.20855043 -0.3048622
## hu_is_active_training1:UPPSpers 0.601758054 0.35828090 -0.1251498
## hu_is_post1:is_active_training1:UPPSpers -0.218182060 0.31093075 -0.8123753
## Q97.5
## Intercept 4.03627033
## hu_Intercept 3.13147176
## is_post1 0.33487787
## is_active_training1 0.91276401
## UPPSpers 0.16061969
## is_post1:is_active_training1 1.24259104
## is_post1:UPPSpers 0.35043679
## is_active_training1:UPPSpers 0.21411194
## is_post1:is_active_training1:UPPSpers 0.30951664
## hu_is_post1 0.89247265
## hu_is_active_training1 0.45350350
## hu_UPPSpers 0.07914994
## hu_is_post1:is_active_training1 2.31171104
## hu_is_post1:UPPSpers 0.51939456
## hu_is_active_training1:UPPSpers 1.29651081
## hu_is_post1:is_active_training1:UPPSpers 0.40173679
## Intake - Subscale: UPPS Premeditation## Intake ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSprem + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.40256883 0.30538312 2.8065578
## hu_Intercept 1.90301021 0.81419080 0.3347950
## is_post1 0.33425310 0.44646193 -0.5428666
## is_active_training1 -0.10089772 0.42354042 -0.9416091
## UPPSprem 0.03935039 0.09856009 -0.1524706
## is_post1:is_active_training1 -0.01679745 0.61351011 -1.2016872
## is_post1:UPPSprem -0.16376301 0.14389367 -0.4468081
## is_active_training1:UPPSprem 0.07155154 0.13700283 -0.1966234
## is_post1:is_active_training1:UPPSprem -0.03239237 0.19785276 -0.4198697
## hu_is_post1 -0.09453563 0.74051566 -1.5430431
## hu_is_active_training1 -1.64277347 1.19310406 -4.0247748
## hu_UPPSprem -0.42271792 0.26498093 -0.9477916
## hu_is_post1:is_active_training1 -0.80861416 1.08157624 -2.9469170
## hu_is_post1:UPPSprem 0.02416432 0.24052619 -0.4533544
## hu_is_active_training1:UPPSprem 0.56563944 0.38676812 -0.1799563
## hu_is_post1:is_active_training1:UPPSprem 0.19303415 0.34982773 -0.4979749
## Q97.5
## Intercept 3.99503513
## hu_Intercept 3.52084981
## is_post1 1.21252179
## is_active_training1 0.72907740
## UPPSprem 0.23250263
## is_post1:is_active_training1 1.18336096
## is_post1:UPPSprem 0.12132307
## is_active_training1:UPPSprem 0.34408593
## is_post1:is_active_training1:UPPSprem 0.35273652
## hu_is_post1 1.37253474
## hu_is_active_training1 0.66766788
## hu_UPPSprem 0.09126228
## hu_is_post1:is_active_training1 1.32954439
## hu_is_post1:UPPSprem 0.50074781
## hu_is_active_training1:UPPSprem 1.33873170
## hu_is_post1:is_active_training1:UPPSprem 0.88066528
## Intake - Subscale: UPPS Sensation Seeking## Intake ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSsen + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.59436087 0.16325508 3.27831865
## hu_Intercept -0.32614599 0.50745954 -1.31394311
## is_post1 -0.52209424 0.23186663 -0.97755641
## is_active_training1 0.15605035 0.27456042 -0.38567024
## UPPSsen -0.03231257 0.06685787 -0.16328956
## is_post1:is_active_training1 0.24172359 0.39199321 -0.54603967
## is_post1:UPPSsen 0.15425624 0.09531712 -0.02866853
## is_active_training1:UPPSsen -0.01085588 0.10775361 -0.21958636
## is_post1:is_active_training1:UPPSsen -0.15396165 0.15459760 -0.45990024
## hu_is_post1 0.96151507 0.41834363 0.11993610
## hu_is_active_training1 2.00881488 0.80341948 0.40497868
## hu_UPPSsen 0.41366576 0.20152336 0.01439665
## hu_is_post1:is_active_training1 -1.67709292 0.69714936 -3.00962180
## hu_is_post1:UPPSsen -0.41949107 0.16906257 -0.74737503
## hu_is_active_training1:UPPSsen -0.80167886 0.31528611 -1.42107702
## hu_is_post1:is_active_training1:UPPSsen 0.60857207 0.27292655 0.07631670
## Q97.5
## Intercept 3.91422692
## hu_Intercept 0.67287211
## is_post1 -0.06483778
## is_active_training1 0.68963823
## UPPSsen 0.09892893
## is_post1:is_active_training1 1.01765949
## is_post1:UPPSsen 0.34372669
## is_active_training1:UPPSsen 0.20097872
## is_post1:is_active_training1:UPPSsen 0.15286355
## hu_is_post1 1.76596713
## hu_is_active_training1 3.61591706
## hu_UPPSsen 0.82440607
## hu_is_post1:is_active_training1 -0.30320190
## hu_is_post1:UPPSsen -0.08240467
## hu_is_active_training1:UPPSsen -0.17468693
## hu_is_post1:is_active_training1:UPPSsen 1.13804160
## Intake - Subscale: UPPS Urgency## Intake ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * UPPSurg + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.507084254 0.22527384 3.0632175
## hu_Intercept 0.441238270 0.65940148 -0.8511975
## is_post1 0.017918625 0.32668785 -0.6485873
## is_active_training1 0.100709334 0.30581087 -0.4900830
## UPPSurg 0.008573257 0.09763586 -0.1866782
## is_post1:is_active_training1 -0.130929059 0.43713553 -0.9926482
## is_post1:UPPSurg -0.082272092 0.14086416 -0.3549860
## is_active_training1:UPPSurg 0.006378887 0.13255009 -0.2539451
## is_post1:is_active_training1:UPPSurg 0.005753890 0.18890384 -0.3859609
## hu_is_post1 0.408424919 0.56458236 -0.7007218
## hu_is_active_training1 0.476913825 0.90008120 -1.2841462
## hu_UPPSurg 0.091355145 0.28098023 -0.4673254
## hu_is_post1:is_active_training1 -0.923069601 0.78977255 -2.4474802
## hu_is_post1:UPPSurg -0.190568563 0.24377930 -0.6700530
## hu_is_active_training1:UPPSurg -0.193295757 0.39363432 -0.9838192
## hu_is_post1:is_active_training1:UPPSurg 0.317797469 0.34428393 -0.3541008
## Q97.5
## Intercept 3.9492015
## hu_Intercept 1.7635630
## is_post1 0.6479845
## is_active_training1 0.7174266
## UPPSurg 0.2007714
## is_post1:is_active_training1 0.7679250
## is_post1:UPPSurg 0.2036238
## is_active_training1:UPPSurg 0.2643224
## is_post1:is_active_training1:UPPSurg 0.3764433
## hu_is_post1 1.5436435
## hu_is_active_training1 2.2754693
## hu_UPPSurg 0.6442679
## hu_is_post1:is_active_training1 0.6220165
## hu_is_post1:UPPSurg 0.2974827
## hu_is_active_training1:UPPSurg 0.5729209
## hu_is_post1:is_active_training1:UPPSurg 0.9809681
Participant-specific moderators related to the training
Contingency awareness, Expectancy, and Intentions were modeled as potential moderators that were assessed on a participant-level but relate to the training.
Methods
As an assessment of contingency awareness, participants were asked after the Follow-up AAA session for each food image, how often they thought they had pushed it away from themselves throughout the whole trial period on a scale from 0 to 100 %. These values were averaged separately for “increase” and “decrease” foods and then subtracted from one another, such that the resulting value indicates a belief to have pushed away decrease foods more often than increase foods.
Expectancy was assessed with the question “How much do you expect the task to help you reach your dietary goals on a scale from 1-5 where 1 was labeled “not at all” and 5 was labeled “very much”. The two values (at the start and the end of the intervention period) were averaged.
For the assessment of intentions, we asked participants during the ecological momentary assessment at midday and in the evening with the question “How much do you want to stick to your dietary goal for the rest of the day/for the next day?” using a 0-100 slider. For each participant, we averaged all intention values reported to arrive at a between-person variable.
Contingency awareness
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * contingency_de + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 58.8247957 56.542276 -51.544051
## is_post1 -7.4740779 64.609499 -135.454594
## is_active_training1 21.6587561 69.605739 -111.423964
## contingency_de -0.1744325 1.064827 -2.178047
## is_post1:is_active_training1 -6.0663270 79.952110 -160.810266
## is_post1:contingency_de 0.2432397 1.233398 -2.172070
## is_active_training1:contingency_de -0.1897471 1.332717 -2.881399
## is_post1:is_active_training1:contingency_de -0.8978692 1.547899 -3.897327
## Q97.5
## Intercept 165.940875
## is_post1 119.224885
## is_active_training1 158.188123
## contingency_de 1.935305
## is_post1:is_active_training1 146.098318
## is_post1:contingency_de 2.712284
## is_active_training1:contingency_de 2.321292
## is_post1:is_active_training1:contingency_de 2.239062
## Craving## Craving ~ is_post * is_active_training * contingency_de + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * contingency_de + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.053953686 1.213402854
## hu_Intercept 2.434612384 5.644198544
## is_post1 -0.326174435 0.261965202
## is_active_training1 0.618383272 0.728901526
## contingency_de 0.005620588 0.009087798
## is_post1:is_active_training1 0.105835371 0.740241151
## is_post1:contingency_de -0.003202252 0.011538698
## is_active_training1:contingency_de -0.011933595 0.013020491
## is_post1:is_active_training1:contingency_de -0.005212272 0.013401857
## hu_is_post1 1.139432953 0.634611013
## hu_is_active_training1 -0.323337429 0.796433688
## hu_contingency_de -0.030501834 0.036877619
## hu_is_post1:is_active_training1 -1.018265720 0.680822731
## hu_is_post1:contingency_de -0.254874958 0.426973390
## hu_is_active_training1:contingency_de 0.357622609 0.602997021
## hu_is_post1:is_active_training1:contingency_de -0.323435879 0.583734834
## Q2.5 Q97.5
## Intercept 0.348624388 4.060842911
## hu_Intercept -2.077255972 12.152080671
## is_post1 -0.673977684 0.156129621
## is_active_training1 -0.192336812 1.833607682
## contingency_de -0.005294038 0.024946043
## is_post1:is_active_training1 -0.754554994 1.336364296
## is_post1:contingency_de -0.032763108 0.008657581
## is_active_training1:contingency_de -0.034793910 0.002983489
## is_post1:is_active_training1:contingency_de -0.031768527 0.010314178
## hu_is_post1 -0.187225780 2.182734442
## hu_is_active_training1 -1.921462687 1.396927227
## hu_contingency_de -0.091200412 0.012896405
## hu_is_post1:is_active_training1 -2.523973980 0.364099466
## hu_is_post1:contingency_de -0.994157487 0.013051177
## hu_is_active_training1:contingency_de -0.020916110 1.401671599
## hu_is_post1:is_active_training1:contingency_de -1.334152806 0.042065536
## Intake## Intake ~ is_post * is_active_training * contingency_de + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * contingency_de + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 2.831578876 1.089750045
## hu_Intercept 3.532401095 4.994189956
## is_post1 -0.189259348 0.355091797
## is_active_training1 0.603693906 0.749926438
## contingency_de 0.009021286 0.010731642
## is_post1:is_active_training1 0.282291242 0.664009925
## is_post1:contingency_de -0.008958397 0.012624403
## is_active_training1:contingency_de -0.013706273 0.016140785
## is_post1:is_active_training1:contingency_de -0.004374466 0.009566432
## hu_is_post1 0.653269245 0.733979501
## hu_is_active_training1 -0.481443032 0.499861206
## hu_contingency_de -0.029953973 0.036155694
## hu_is_post1:is_active_training1 -0.470179475 0.624396238
## hu_is_post1:contingency_de -0.251618866 0.428829388
## hu_is_active_training1:contingency_de 0.358644120 0.602288525
## hu_is_post1:is_active_training1:contingency_de -0.330459254 0.579637412
## Q2.5 Q97.5
## Intercept 0.465503908 3.847749625
## hu_Intercept -0.201843675 12.152192438
## is_post1 -0.674061001 0.433859123
## is_active_training1 -0.308715837 1.833247046
## contingency_de -0.004209113 0.030067658
## is_post1:is_active_training1 -0.625919866 1.336208660
## is_post1:contingency_de -0.038058462 0.006091895
## is_active_training1:contingency_de -0.040986468 0.004467050
## is_post1:is_active_training1:contingency_de -0.019935858 0.010714270
## hu_is_post1 -0.638978078 1.646837463
## hu_is_active_training1 -1.536907961 0.564397292
## hu_contingency_de -0.091213366 0.005846046
## hu_is_post1:is_active_training1 -1.504042949 0.842641140
## hu_is_post1:contingency_de -0.994154721 0.013033523
## hu_is_active_training1:contingency_de -0.007857495 1.401591446
## hu_is_post1:is_active_training1:contingency_de -1.334145373 0.026454205
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * contingency_in + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 79.47325965 37.4086346 5.645122
## is_post1 0.45701821 48.7730478 -97.046933
## is_active_training1 15.17877589 48.4205917 -76.008008
## contingency_in -0.64058747 0.8471743 -2.304109
## is_post1:is_active_training1 -36.77389892 60.6877763 -152.533721
## is_post1:contingency_in 0.09038489 1.0877972 -2.003851
## is_active_training1:contingency_in -0.27997105 1.1769148 -2.678309
## is_post1:is_active_training1:contingency_in 0.67692165 1.4936219 -2.227345
## Q97.5
## Intercept 153.359502
## is_post1 90.528926
## is_active_training1 112.514499
## contingency_in 1.083899
## is_post1:is_active_training1 82.462611
## is_post1:contingency_in 2.203062
## is_active_training1:contingency_in 1.888881
## is_post1:is_active_training1:contingency_in 3.688389
## Craving## Craving ~ is_post * is_active_training * contingency_in + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * contingency_in + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.672369405 0.126965160
## hu_Intercept -0.402442941 0.506934607
## is_post1 -0.034580257 0.162282817
## is_active_training1 -0.164351364 0.163670271
## contingency_in -0.001714722 0.002787812
## is_post1:is_active_training1 -0.123320891 0.210161064
## is_post1:contingency_in -0.002488122 0.003566164
## is_active_training1:contingency_in 0.005448201 0.003994746
## is_post1:is_active_training1:contingency_in 0.001169645 0.005098178
## hu_is_post1 0.583489337 0.455679097
## hu_is_active_training1 -0.272465724 0.633748413
## hu_contingency_in -0.009209957 0.011411672
## hu_is_post1:is_active_training1 -0.610414717 0.571533441
## hu_is_post1:contingency_in -0.010184479 0.010375515
## hu_is_active_training1:contingency_in 0.015242904 0.015526111
## hu_is_post1:is_active_training1:contingency_in 0.005202653 0.014032626
## Q2.5 Q97.5
## Intercept 3.425721492 3.922297575
## hu_Intercept -1.392329043 0.555413175
## is_post1 -0.359755594 0.287396706
## is_active_training1 -0.493942265 0.145501552
## contingency_in -0.007350535 0.003892806
## is_post1:is_active_training1 -0.535218978 0.281924290
## is_post1:contingency_in -0.009392745 0.004802626
## is_active_training1:contingency_in -0.002158893 0.013409170
## is_post1:is_active_training1:contingency_in -0.008729447 0.011192014
## hu_is_post1 -0.341518388 1.473266218
## hu_is_active_training1 -1.514764664 0.963276340
## hu_contingency_in -0.031678192 0.013131816
## hu_is_post1:is_active_training1 -1.729163074 0.523244860
## hu_is_post1:contingency_in -0.030946895 0.010512108
## hu_is_active_training1:contingency_in -0.015514997 0.044939439
## hu_is_post1:is_active_training1:contingency_in -0.022074156 0.032581220
## Intake## Intake ~ is_post * is_active_training * contingency_in + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * contingency_in + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.7037226552 0.133824827
## hu_Intercept 1.4466154835 0.427210435
## is_post1 0.0555290429 0.199300060
## is_active_training1 -0.2576463683 0.163767197
## contingency_in -0.0042442988 0.002819918
## is_post1:is_active_training1 -0.4098169607 0.246073844
## is_post1:contingency_in -0.0059389841 0.004215048
## is_active_training1:contingency_in 0.0103220384 0.003895790
## is_post1:is_active_training1:contingency_in 0.0072017125 0.005889253
## hu_is_post1 -0.0821528881 0.352235351
## hu_is_active_training1 -0.8443904490 0.525180477
## hu_contingency_in -0.0194062763 0.009133681
## hu_is_post1:is_active_training1 0.0318866224 0.440180008
## hu_is_post1:contingency_in 0.0006421083 0.007847426
## hu_is_active_training1:contingency_in 0.0239396200 0.012594890
## hu_is_post1:is_active_training1:contingency_in -0.0076262842 0.010641785
## Q2.5 Q97.5
## Intercept 3.4357402899 3.961133096
## hu_Intercept 0.6095267898 2.270046280
## is_post1 -0.3453815140 0.453480983
## is_active_training1 -0.5813436663 0.069539483
## contingency_in -0.0098598369 0.001355609
## is_post1:is_active_training1 -0.8968042527 0.080798575
## is_post1:contingency_in -0.0142922966 0.002509552
## is_active_training1:contingency_in 0.0026204023 0.017947958
## is_post1:is_active_training1:contingency_in -0.0041103482 0.018814781
## hu_is_post1 -0.7793797718 0.606757070
## hu_is_active_training1 -1.8579737569 0.210713951
## hu_contingency_in -0.0378795649 -0.001545551
## hu_is_post1:is_active_training1 -0.8216307613 0.885695688
## hu_is_post1:contingency_in -0.0147040073 0.016176591
## hu_is_active_training1:contingency_in -0.0006600855 0.048743809
## hu_is_post1:is_active_training1:contingency_in -0.0285146365 0.013395338
Expectancy
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 42.901970 38.42833 -31.64869
## is_post1 52.898924 42.89430 -30.81153
## is_active_training1 45.551672 56.92172 -66.53004
## expectancy 3.406105 15.26304 -26.08224
## is_post1:is_active_training1 -79.678505 61.41722 -198.69006
## is_post1:expectancy -21.501313 16.80159 -54.84927
## is_active_training1:expectancy -15.329825 21.71677 -56.13426
## is_post1:is_active_training1:expectancy 20.906030 23.68028 -24.91413
## Q97.5
## Intercept 118.65393
## is_post1 138.75140
## is_active_training1 160.04909
## expectancy 32.07782
## is_post1:is_active_training1 37.99096
## is_post1:expectancy 11.74886
## is_active_training1:expectancy 28.25580
## is_post1:is_active_training1:expectancy 66.58675
## Craving## Craving ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.74052060 0.11520981 3.51498214
## hu_Intercept -0.74036792 0.46735540 -1.66689028
## is_post1 -0.03438614 0.12413834 -0.26636383
## is_active_training1 0.03403456 0.17209728 -0.30602389
## expectancy 0.02458819 0.04237348 -0.05768897
## is_post1:is_active_training1 -0.31839483 0.19044696 -0.69750047
## is_post1:expectancy -0.03193675 0.04664662 -0.12615613
## is_active_training1:expectancy -0.03116247 0.06438107 -0.15520793
## is_post1:is_active_training1:expectancy 0.04878051 0.06986585 -0.08697332
## hu_is_post1 1.24178008 0.42298154 0.41165744
## hu_is_active_training1 0.70799824 0.67444985 -0.56144414
## hu_expectancy -0.20235772 0.17775856 -0.56426706
## hu_is_post1:is_active_training1 -1.15928382 0.63383275 -2.39566785
## hu_is_post1:expectancy -0.37902842 0.16786281 -0.71363102
## hu_is_active_training1:expectancy -0.14402741 0.25806588 -0.66223167
## hu_is_post1:is_active_training1:expectancy 0.43044017 0.24652111 -0.03589295
## Q97.5
## Intercept 3.97101012
## hu_Intercept 0.17632387
## is_post1 0.21524445
## is_active_training1 0.36107300
## expectancy 0.10828342
## is_post1:is_active_training1 0.05176793
## is_post1:expectancy 0.05745663
## is_active_training1:expectancy 0.09329667
## is_post1:is_active_training1:expectancy 0.18767644
## hu_is_post1 2.09940185
## hu_is_active_training1 2.08411397
## hu_expectancy 0.14667428
## hu_is_post1:is_active_training1 0.07354637
## hu_is_post1:expectancy -0.05555106
## hu_is_active_training1:expectancy 0.34916822
## hu_is_post1:is_active_training1:expectancy 0.91188328
## Intake## Intake ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.68165499 0.13967706 3.408524074
## hu_Intercept 0.23765956 0.32537139 -0.410749011
## is_post1 -0.13486145 0.15895884 -0.438854596
## is_active_training1 0.04293254 0.21094357 -0.367264369
## expectancy -0.02788244 0.05318734 -0.129655318
## is_post1:is_active_training1 -0.10707284 0.24309054 -0.580364162
## is_post1:expectancy -0.00441948 0.05945072 -0.122585248
## is_active_training1:expectancy -0.02446531 0.07907386 -0.183386997
## is_post1:is_active_training1:expectancy 0.02684520 0.09028408 -0.152308591
## hu_is_post1 0.60193862 0.32199764 -0.005454216
## hu_is_active_training1 0.38903798 0.46202584 -0.505513122
## hu_expectancy -0.02242331 0.11938991 -0.249108488
## hu_is_post1:is_active_training1 -0.69090582 0.47224953 -1.632766037
## hu_is_post1:expectancy -0.22506121 0.12394639 -0.469056687
## hu_is_active_training1:expectancy -0.13177733 0.17124965 -0.478646720
## hu_is_post1:is_active_training1:expectancy 0.30333827 0.17892433 -0.040147781
## Q97.5
## Intercept 3.95346490
## hu_Intercept 0.85808180
## is_post1 0.17991512
## is_active_training1 0.45804701
## expectancy 0.07631779
## is_post1:is_active_training1 0.36774590
## is_post1:expectancy 0.11391668
## is_active_training1:expectancy 0.12652705
## is_post1:is_active_training1:expectancy 0.20395377
## hu_is_post1 1.23939504
## hu_is_active_training1 1.31807984
## hu_expectancy 0.21465064
## hu_is_post1:is_active_training1 0.22172930
## hu_is_post1:expectancy 0.00713763
## hu_is_active_training1:expectancy 0.19332612
## hu_is_post1:is_active_training1:expectancy 0.65084577
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 7.048858 41.72560 -77.507389
## is_post1 61.109852 52.85484 -42.987214
## is_active_training1 95.698508 63.05002 -26.093716
## expectancy 21.499159 15.76793 -9.347235
## is_post1:is_active_training1 -163.099982 79.00531 -322.556386
## is_post1:expectancy -27.963274 20.00796 -67.320033
## is_active_training1:expectancy -37.278731 24.02758 -86.095761
## is_post1:is_active_training1:expectancy 63.162035 30.05507 7.438932
## Q97.5
## Intercept 89.466862
## is_post1 163.526331
## is_active_training1 221.002727
## expectancy 52.951495
## is_post1:is_active_training1 -14.254162
## is_post1:expectancy 10.909024
## is_active_training1:expectancy 8.473973
## is_post1:is_active_training1:expectancy 124.321750
## Craving## Craving ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.508863419 0.13540463 3.23975275
## hu_Intercept -0.091974213 0.49006049 -1.06563867
## is_post1 -0.133746998 0.15873241 -0.44329467
## is_active_training1 0.163235021 0.20475965 -0.24283951
## expectancy 0.050170790 0.05118422 -0.05110580
## is_post1:is_active_training1 -0.452885728 0.24227758 -0.94081914
## is_post1:expectancy -0.001520963 0.05873711 -0.10886506
## is_active_training1:expectancy -0.076434197 0.07703123 -0.22312805
## is_post1:is_active_training1:expectancy 0.159254833 0.08867348 -0.01547469
## hu_is_post1 0.964653808 0.43981259 0.06090065
## hu_is_active_training1 0.296100308 0.72548823 -1.11090903
## hu_expectancy -0.276018173 0.19094974 -0.65633960
## hu_is_post1:is_active_training1 0.281239861 0.63124822 -0.92409660
## hu_is_post1:expectancy -0.342524432 0.16987491 -0.66692818
## hu_is_active_training1:expectancy 0.043520648 0.27850569 -0.48331193
## hu_is_post1:is_active_training1:expectancy -0.220191968 0.24516883 -0.70257172
## Q97.5
## Intercept 3.777943e+00
## hu_Intercept 8.785505e-01
## is_post1 1.625335e-01
## is_active_training1 5.556899e-01
## expectancy 1.525351e-01
## is_post1:is_active_training1 3.289284e-02
## is_post1:expectancy 1.159015e-01
## is_active_training1:expectancy 7.409493e-02
## is_post1:is_active_training1:expectancy 3.380126e-01
## hu_is_post1 1.812900e+00
## hu_is_active_training1 1.695473e+00
## hu_expectancy 9.643055e-02
## hu_is_post1:is_active_training1 1.514869e+00
## hu_is_post1:expectancy -8.727175e-05
## hu_is_active_training1:expectancy 5.769326e-01
## hu_is_post1:is_active_training1:expectancy 2.550764e-01
## Intake## Intake ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * expectancy + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.662541424 0.13112224 3.40556316
## hu_Intercept 0.768927111 0.40101979 -0.03558961
## is_post1 -0.297439112 0.19796115 -0.70350260
## is_active_training1 -0.105469071 0.19664384 -0.48390355
## expectancy -0.046177663 0.04747802 -0.13998872
## is_post1:is_active_training1 -0.086714322 0.30274149 -0.66640769
## is_post1:expectancy 0.041434659 0.07293204 -0.10045694
## is_active_training1:expectancy 0.076419263 0.07212721 -0.06830864
## is_post1:is_active_training1:expectancy -0.006089527 0.11101060 -0.22602628
## hu_is_post1 0.535994816 0.32559391 -0.09775216
## hu_is_active_training1 0.161682211 0.58205098 -0.95472370
## hu_expectancy -0.062643021 0.15331942 -0.36106104
## hu_is_post1:is_active_training1 -0.099604996 0.49775942 -1.06084658
## hu_is_post1:expectancy -0.253670624 0.12518382 -0.49842288
## hu_is_active_training1:expectancy -0.020276777 0.22018124 -0.46370099
## hu_is_post1:is_active_training1:expectancy -0.001129036 0.18776262 -0.37514613
## Q97.5
## Intercept 3.914725035
## hu_Intercept 1.561064785
## is_post1 0.072565877
## is_active_training1 0.294736165
## expectancy 0.045418066
## is_post1:is_active_training1 0.515925720
## is_post1:expectancy 0.185353643
## is_active_training1:expectancy 0.216840807
## is_post1:is_active_training1:expectancy 0.209097902
## hu_is_post1 1.172968592
## hu_is_active_training1 1.346784522
## hu_expectancy 0.251096240
## hu_is_post1:is_active_training1 0.880636675
## hu_is_post1:expectancy -0.003886409
## hu_is_active_training1:expectancy 0.405163303
## hu_is_post1:is_active_training1:expectancy 0.363285913
Intentions
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * intentionBS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 49.47868523 58.4146769 -64.578415
## is_post1 0.55289217 65.8760541 -126.434441
## is_active_training1 63.37304713 85.7625281 -109.650986
## intentionBS 0.04871031 0.7998388 -1.502511
## is_post1:is_active_training1 -60.56814458 95.7509389 -240.453627
## is_post1:intentionBS -0.01158485 0.8977162 -1.669276
## is_active_training1:intentionBS -0.78833696 1.2210153 -3.173934
## is_post1:is_active_training1:intentionBS 0.34030392 1.3655303 -2.409602
## Q97.5
## Intercept 159.868350
## is_post1 127.698336
## is_active_training1 234.959982
## intentionBS 1.656227
## is_post1:is_active_training1 135.769911
## is_post1:intentionBS 1.758258
## is_active_training1:intentionBS 1.681828
## is_post1:is_active_training1:intentionBS 2.875580
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * intentionBS + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 37.9270767 63.3926994 -84.240471
## is_post1 15.0708708 80.6169995 -142.696483
## is_active_training1 89.2263612 89.3021458 -82.748954
## intentionBS 0.2802363 0.8692647 -1.392019
## is_post1:is_active_training1 -119.9175110 114.0480173 -339.499684
## is_post1:intentionBS -0.2926646 1.1074424 -2.477599
## is_active_training1:intentionBS -1.1466324 1.2403214 -3.624954
## is_post1:is_active_training1:intentionBS 1.5339355 1.5915845 -1.716884
## Q97.5
## Intercept 160.942700
## is_post1 169.081045
## is_active_training1 273.564754
## intentionBS 1.933581
## is_post1:is_active_training1 112.471689
## is_post1:intentionBS 1.903564
## is_active_training1:intentionBS 1.270037
## is_post1:is_active_training1:intentionBS 4.535353
Stimulus-specific moderators
We also examined stimulus-specific moderators, namely training status (i.e., whether the stimulus was included in the AAT or AAI during the intervention period) and baseline stimulus-specific craving.
Training status
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 49.796320 15.895949 20.473241
## is_post1 9.467923 18.582636 -26.765363
## is_active_training1 8.504671 22.031940 -34.554721
## is_untrained1 4.483461 7.328294 -9.906455
## is_post1:is_active_training1 -51.054867 24.822886 -98.635888
## is_post1:is_untrained1 -23.291499 10.752485 -43.985615
## is_active_training1:is_untrained1 4.216877 10.571715 -16.458214
## is_post1:is_active_training1:is_untrained1 42.241467 15.310151 12.433181
## Q97.5
## Intercept 81.823796
## is_post1 45.937958
## is_active_training1 49.885331
## is_untrained1 19.298037
## is_post1:is_active_training1 -2.311962
## is_post1:is_untrained1 -1.945567
## is_active_training1:is_untrained1 25.287730
## is_post1:is_active_training1:is_untrained1 71.415548
## Craving## Craving ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.786065834 0.04779722
## hu_Intercept -1.226496418 0.19257539
## is_post1 -0.099972480 0.05136813
## is_active_training1 -0.075978368 0.06535680
## is_untrained1 -0.019324660 0.04286589
## is_post1:is_active_training1 -0.168470936 0.07384994
## is_post1:is_untrained1 -0.005606273 0.06477186
## is_active_training1:is_untrained1 0.098240790 0.06136279
## is_post1:is_active_training1:is_untrained1 -0.061239703 0.09218639
## hu_is_post1 0.346989053 0.17980583
## hu_is_active_training1 0.323533499 0.24248092
## hu_is_untrained1 0.036446480 0.13589858
## hu_is_post1:is_active_training1 -0.239192188 0.25370983
## hu_is_post1:is_untrained1 0.308126348 0.18733319
## hu_is_active_training1:is_untrained1 -0.266411625 0.19454061
## hu_is_post1:is_active_training1:is_untrained1 -0.054958378 0.27193142
## Q2.5 Q97.5
## Intercept 3.69176545 3.880635852
## hu_Intercept -1.60577861 -0.859289550
## is_post1 -0.20033315 0.002025355
## is_active_training1 -0.20173619 0.051756943
## is_untrained1 -0.10278086 0.064439861
## is_post1:is_active_training1 -0.31731211 -0.027191766
## is_post1:is_untrained1 -0.12929727 0.127343917
## is_active_training1:is_untrained1 -0.02576389 0.221956447
## is_post1:is_active_training1:is_untrained1 -0.24277778 0.116932073
## hu_is_post1 -0.01181642 0.701335212
## hu_is_active_training1 -0.14183343 0.797448325
## hu_is_untrained1 -0.22881469 0.299511383
## hu_is_post1:is_active_training1 -0.73927984 0.246442880
## hu_is_post1:is_untrained1 -0.06818637 0.679971480
## hu_is_active_training1:is_untrained1 -0.63945579 0.113691999
## hu_is_post1:is_active_training1:is_untrained1 -0.57107850 0.493579783
## Intake## Intake ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.624718990 0.05991365
## hu_Intercept 0.191538009 0.15020185
## is_post1 -0.138287113 0.06890315
## is_active_training1 -0.076759318 0.08103354
## is_untrained1 -0.042512754 0.06588951
## is_post1:is_active_training1 -0.005860359 0.09636530
## is_post1:is_untrained1 -0.010458672 0.09741333
## is_active_training1:is_untrained1 0.138672451 0.09418582
## is_post1:is_active_training1:is_untrained1 -0.093782743 0.13918260
## hu_is_post1 -0.074850600 0.13781913
## hu_is_active_training1 0.081462669 0.16855742
## hu_is_untrained1 -0.015657513 0.11375980
## hu_is_post1:is_active_training1 0.063862021 0.19125971
## hu_is_post1:is_untrained1 0.612014971 0.16340197
## hu_is_active_training1:is_untrained1 -0.030871242 0.16280833
## hu_is_post1:is_active_training1:is_untrained1 -0.483606828 0.22932951
## Q2.5 Q97.5
## Intercept 3.50945291 3.741106707
## hu_Intercept -0.08993076 0.496640966
## is_post1 -0.27348560 -0.003489211
## is_active_training1 -0.23303582 0.079325144
## is_untrained1 -0.17377234 0.082854767
## is_post1:is_active_training1 -0.19652732 0.184337219
## is_post1:is_untrained1 -0.20144235 0.179453538
## is_active_training1:is_untrained1 -0.04522140 0.325259477
## is_post1:is_active_training1:is_untrained1 -0.37128895 0.175171287
## hu_is_post1 -0.33875730 0.191614330
## hu_is_active_training1 -0.26322939 0.404151128
## hu_is_untrained1 -0.23591346 0.206562211
## hu_is_post1:is_active_training1 -0.31160774 0.435337442
## hu_is_post1:is_untrained1 0.29429883 0.935632539
## hu_is_active_training1:is_untrained1 -0.35244185 0.279565080
## hu_is_post1:is_active_training1:is_untrained1 -0.92758697 -0.028183474
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 58.130487 15.90256 28.25652
## is_post1 -8.894672 21.05337 -49.67014
## is_active_training1 12.734357 21.79897 -30.08751
## is_untrained1 -2.990433 7.11710 -16.64062
## is_post1:is_active_training1 -7.427558 28.32107 -65.35866
## is_post1:is_untrained1 9.245147 10.36028 -11.18981
## is_active_training1:is_untrained1 -6.316527 10.16477 -26.44211
## is_post1:is_active_training1:is_untrained1 -23.709341 14.79050 -52.59971
## Q97.5
## Intercept 89.635432
## is_post1 31.809408
## is_active_training1 55.825678
## is_untrained1 10.664796
## is_post1:is_active_training1 46.928091
## is_post1:is_untrained1 29.230289
## is_active_training1:is_untrained1 13.227751
## is_post1:is_active_training1:is_untrained1 5.286906
## Craving## Craving ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.601131618 0.05369646
## hu_Intercept -0.627478699 0.20119495
## is_post1 -0.121286507 0.06390690
## is_active_training1 0.021088967 0.07207476
## is_untrained1 0.076726194 0.04927947
## is_post1:is_active_training1 -0.039962083 0.09169402
## is_post1:is_untrained1 -0.050876628 0.07197653
## is_active_training1:is_untrained1 -0.069260377 0.07218138
## is_post1:is_active_training1:is_untrained1 -0.020277716 0.10391491
## hu_is_post1 0.089524925 0.18386708
## hu_is_active_training1 0.278839471 0.26873701
## hu_is_untrained1 -0.156810097 0.12817731
## hu_is_post1:is_active_training1 -0.277041601 0.24797619
## hu_is_post1:is_untrained1 0.220117925 0.18216453
## hu_is_active_training1:is_untrained1 0.001909623 0.17987804
## hu_is_post1:is_active_training1:is_untrained1 -0.143731319 0.26372284
## Q2.5 Q97.5
## Intercept 3.49419754 3.704183451
## hu_Intercept -1.01768729 -0.236100475
## is_post1 -0.24783929 0.004547384
## is_active_training1 -0.11769085 0.160068656
## is_untrained1 -0.01623913 0.173559873
## is_post1:is_active_training1 -0.22366965 0.139063257
## is_post1:is_untrained1 -0.19243815 0.089297109
## is_active_training1:is_untrained1 -0.21039813 0.072905952
## is_post1:is_active_training1:is_untrained1 -0.21694640 0.188654328
## hu_is_post1 -0.27477205 0.458693544
## hu_is_active_training1 -0.23524876 0.812500281
## hu_is_untrained1 -0.41285265 0.095752997
## hu_is_post1:is_active_training1 -0.77297697 0.211534737
## hu_is_post1:is_untrained1 -0.13616001 0.571086380
## hu_is_active_training1:is_untrained1 -0.34934560 0.350141100
## hu_is_post1:is_active_training1:is_untrained1 -0.65168444 0.369468914
## Intake## Intake ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)
## hu ~ is_post * is_active_training * is_untrained + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error
## Intercept 3.47820863 0.06408204
## hu_Intercept 0.65827895 0.18214379
## is_post1 -0.13482249 0.08609772
## is_active_training1 0.18799470 0.07936883
## is_untrained1 0.12931770 0.07876043
## is_post1:is_active_training1 -0.13047954 0.12203786
## is_post1:is_untrained1 -0.08505253 0.11422507
## is_active_training1:is_untrained1 -0.21058017 0.11474853
## is_post1:is_active_training1:is_untrained1 0.04582177 0.16488371
## hu_is_post1 -0.09174916 0.14338909
## hu_is_active_training1 0.06312969 0.21419871
## hu_is_untrained1 -0.07833470 0.12290721
## hu_is_post1:is_active_training1 -0.10539390 0.20346172
## hu_is_post1:is_untrained1 0.22833914 0.17833175
## hu_is_active_training1:is_untrained1 0.01621018 0.17852231
## hu_is_post1:is_active_training1:is_untrained1 -0.36897794 0.24849648
## Q2.5 Q97.5
## Intercept 3.34793645 3.59936116
## hu_Intercept 0.29373888 1.00533358
## is_post1 -0.30373679 0.03115301
## is_active_training1 0.03161771 0.34411141
## is_untrained1 -0.02238616 0.29027166
## is_post1:is_active_training1 -0.37126506 0.10619456
## is_post1:is_untrained1 -0.31384938 0.13573399
## is_active_training1:is_untrained1 -0.43905455 0.01306080
## is_post1:is_active_training1:is_untrained1 -0.27889644 0.37127186
## hu_is_post1 -0.36958331 0.18613235
## hu_is_active_training1 -0.36620981 0.48402370
## hu_is_untrained1 -0.32444509 0.16691665
## hu_is_post1:is_active_training1 -0.51853829 0.28653674
## hu_is_post1:is_untrained1 -0.11961881 0.56464428
## hu_is_active_training1:is_untrained1 -0.34423569 0.37198649
## hu_is_post1:is_active_training1:is_untrained1 -0.85512849 0.11917211
Stimulus-specific baseline craving
Decrease foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * PreCraving + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 48.97472421 15.8036558 17.43493258
## is_post1 2.85108644 19.1629422 -35.01269974
## is_active_training1 -5.24887935 22.2047799 -47.97250582
## PreCraving 0.10452351 0.1782019 -0.25193938
## is_post1:is_active_training1 -34.04389768 26.0971765 -85.06587408
## is_post1:PreCraving -0.07300803 0.2473109 -0.55143775
## is_active_training1:PreCraving 0.49839807 0.2584274 -0.01085538
## is_post1:is_active_training1:PreCraving -0.11230692 0.3587513 -0.79507326
## Q97.5
## Intercept 80.2517963
## is_post1 39.8285913
## is_active_training1 39.0067256
## PreCraving 0.4511740
## is_post1:is_active_training1 17.1100821
## is_post1:PreCraving 0.4090754
## is_active_training1:PreCraving 1.0027094
## is_post1:is_active_training1:PreCraving 0.6091587
## Intake## Intake ~ is_post * is_active_training * PreCraving + (1 | vpNumber) + (1 | imgNumber)
## hu ~ is_post * is_active_training * PreCraving + (1 | vpNumber) + (1 | imgNumber)## Estimate Est.Error
## Intercept 3.0271985335 0.078960929
## hu_Intercept 1.1981858370 0.158606304
## is_post1 0.1660023988 0.086819728
## is_active_training1 0.1049092304 0.110953565
## PreCraving 0.0137646192 0.001429784
## is_post1:is_active_training1 -0.0446876877 0.125625454
## is_post1:PreCraving -0.0060467352 0.001720425
## is_active_training1:PreCraving -0.0019014313 0.002076902
## is_post1:is_active_training1:PreCraving -0.0002283701 0.002605489
## hu_is_post1 -0.1346836522 0.136673282
## hu_is_active_training1 -0.0383597253 0.205481296
## hu_PreCraving -0.0319307377 0.002725808
## hu_is_post1:is_active_training1 -0.3701693542 0.187068985
## hu_is_post1:PreCraving 0.0085669025 0.003185304
## hu_is_active_training1:PreCraving 0.0004067157 0.003832597
## hu_is_post1:is_active_training1:PreCraving 0.0092276445 0.004456599
## Q2.5 Q97.5
## Intercept 2.8743353485 3.181935835
## hu_Intercept 0.8928865660 1.515153907
## is_post1 -0.0009475608 0.335101228
## is_active_training1 -0.1060154036 0.327298412
## PreCraving 0.0110034901 0.016549962
## is_post1:is_active_training1 -0.2938479472 0.202178490
## is_post1:PreCraving -0.0095158566 -0.002706165
## is_active_training1:PreCraving -0.0060058973 0.002120682
## is_post1:is_active_training1:PreCraving -0.0053029177 0.004991410
## hu_is_post1 -0.4038743623 0.130694069
## hu_is_active_training1 -0.4421329588 0.358261804
## hu_PreCraving -0.0374128087 -0.026616655
## hu_is_post1:is_active_training1 -0.7400955579 -0.008459270
## hu_is_post1:PreCraving 0.0024371000 0.014824192
## hu_is_active_training1:PreCraving -0.0071158952 0.007965397
## hu_is_post1:is_active_training1:PreCraving 0.0004977236 0.018043827
Increase foods:
## Approach Bias## bias_stim ~ is_post * is_active_training * PreCraving + (is_post | vpNumber) + (is_post | imgNumber)## Estimate Est.Error Q2.5
## Intercept 61.4640986 16.3912202 28.1613580
## is_post1 -14.0268435 22.1110947 -54.8473468
## is_active_training1 6.1831181 22.7990840 -38.1977311
## PreCraving -0.1402043 0.1798973 -0.4876209
## is_post1:is_active_training1 -3.1550528 29.2233026 -59.8309379
## is_post1:PreCraving 0.3068811 0.2681437 -0.2139344
## is_active_training1:PreCraving 0.1861246 0.2704807 -0.3411268
## is_post1:is_active_training1:PreCraving -0.4555522 0.4009371 -1.2351279
## Q97.5
## Intercept 92.3809405
## is_post1 30.4577787
## is_active_training1 51.3503089
## PreCraving 0.2153145
## is_post1:is_active_training1 54.8281986
## is_post1:PreCraving 0.8219470
## is_active_training1:PreCraving 0.7147111
## is_post1:is_active_training1:PreCraving 0.3229831
## Intake## Intake ~ is_post * is_active_training * PreCraving + (1 | vpNumber) + (1 | imgNumber)
## hu ~ is_post * is_active_training * PreCraving + (1 | vpNumber) + (1 | imgNumber)## Estimate Est.Error
## Intercept 2.9305921373 0.090258817
## hu_Intercept 1.5417995334 0.163060654
## is_post1 0.2335584695 0.100228678
## is_active_training1 0.1062671441 0.126602637
## PreCraving 0.0160583467 0.001858627
## is_post1:is_active_training1 -0.0435461844 0.145133793
## is_post1:PreCraving -0.0079697225 0.002332951
## is_active_training1:PreCraving 0.0004773886 0.002763538
## is_post1:is_active_training1:PreCraving -0.0012923833 0.003440207
## hu_is_post1 -0.4899636699 0.127662676
## hu_is_active_training1 0.2277475380 0.219889449
## hu_PreCraving -0.0360937664 0.003066948
## hu_is_post1:is_active_training1 -0.1683101921 0.186406639
## hu_is_post1:PreCraving 0.0179795749 0.003621323
## hu_is_active_training1:PreCraving -0.0103021935 0.004718606
## hu_is_post1:is_active_training1:PreCraving -0.0008884969 0.005567372
## Q2.5 Q97.5
## Intercept 2.751594482 3.109960683
## hu_Intercept 1.216425346 1.858223739
## is_post1 0.033112911 0.431595799
## is_active_training1 -0.139275930 0.359772747
## PreCraving 0.012397125 0.019652396
## is_post1:is_active_training1 -0.328972997 0.244348866
## is_post1:PreCraving -0.012479810 -0.003491385
## is_active_training1:PreCraving -0.004759660 0.005927012
## is_post1:is_active_training1:PreCraving -0.007994847 0.005390709
## hu_is_post1 -0.732991960 -0.239559714
## hu_is_active_training1 -0.200013503 0.648847603
## hu_PreCraving -0.042048307 -0.030139679
## hu_is_post1:is_active_training1 -0.535463350 0.195897941
## hu_is_post1:PreCraving 0.010947037 0.025103556
## hu_is_active_training1:PreCraving -0.019898160 -0.001170336
## hu_is_post1:is_active_training1:PreCraving -0.011400999 0.009916242
Short-term analyses
Short-term effects and moderation by group (training vs control group)
We further examined short-term effects of the training. Our hypothesis was (H2 in the pre-registration): Relative to non-training days, days with either an AAi or an AAA are characterized by less cravings and intake of the decrease-foods and more cravings and intake of the increase-foods. We also expected a larger difference between training and non-training days in the training group than in the control group
Decrease foods:
## Craving## Craving ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.55710784 0.05647265 3.44535286
## hu_Intercept -0.84466154 0.23533224 -1.30907876
## has_aat_data 0.01265276 0.02673843 -0.03926877
## is_active_training1 -0.13861380 0.07593243 -0.28475297
## has_aat_data:is_active_training1 0.03479288 0.03994078 -0.04297737
## hu_has_aat_data -0.15048832 0.08956788 -0.32827404
## hu_is_active_training1 0.15391723 0.31272524 -0.45019574
## hu_has_aat_data:is_active_training1 0.06156031 0.12241799 -0.17843886
## Q97.5
## Intercept 3.66752623
## hu_Intercept -0.39387702
## has_aat_data 0.06547914
## is_active_training1 0.01265720
## has_aat_data:is_active_training1 0.11274193
## hu_has_aat_data 0.02420683
## hu_is_active_training1 0.76362673
## hu_has_aat_data:is_active_training1 0.30010639
## Intake## Intake ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.38276380 0.06555033 3.25315451
## hu_Intercept 0.41732331 0.15680729 0.11114441
## has_aat_data 0.04885281 0.03751059 -0.02430383
## is_active_training1 -0.01244984 0.08479892 -0.17864553
## has_aat_data:is_active_training1 -0.03418635 0.05714804 -0.14596559
## hu_has_aat_data -0.02370322 0.08580594 -0.19248259
## hu_is_active_training1 0.01107745 0.18687597 -0.35304358
## hu_has_aat_data:is_active_training1 0.07124494 0.12211907 -0.16702547
## Q97.5
## Intercept 3.51003783
## hu_Intercept 0.72425585
## has_aat_data 0.12321663
## is_active_training1 0.15389323
## has_aat_data:is_active_training1 0.07843005
## hu_has_aat_data 0.14543011
## hu_is_active_training1 0.38063995
## hu_has_aat_data:is_active_training1 0.30860352
Increase foods:
## Craving## Craving ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.427318337 0.06597592 3.29911656
## hu_Intercept -0.518646451 0.25966455 -1.02685987
## has_aat_data 0.021474522 0.02742941 -0.03313691
## is_active_training1 -0.005916293 0.09308115 -0.18960684
## has_aat_data:is_active_training1 -0.033114301 0.03927662 -0.10890204
## hu_has_aat_data -0.167910422 0.09711491 -0.36194327
## hu_is_active_training1 -0.134588165 0.36960259 -0.86790063
## hu_has_aat_data:is_active_training1 0.083338360 0.13985633 -0.18999380
## Q97.5
## Intercept 3.55883436
## hu_Intercept -0.01132787
## has_aat_data 0.07530732
## is_active_training1 0.17619339
## has_aat_data:is_active_training1 0.04366416
## hu_has_aat_data 0.02111531
## hu_is_active_training1 0.57578095
## hu_has_aat_data:is_active_training1 0.36011565
## Intake## Intake ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data * is_active_training | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.35813539 0.08085567 3.1971665
## hu_Intercept 0.66636216 0.17217381 0.3339482
## has_aat_data -0.03157100 0.04856747 -0.1281796
## is_active_training1 -0.03102526 0.10481913 -0.2357046
## has_aat_data:is_active_training1 0.05080925 0.06689970 -0.0825170
## hu_has_aat_data -0.02549974 0.07576893 -0.1758662
## hu_is_active_training1 -0.17723333 0.23330463 -0.6417441
## hu_has_aat_data:is_active_training1 -0.10231335 0.10952922 -0.3152840
## Q97.5
## Intercept 3.51607981
## hu_Intercept 1.00763375
## has_aat_data 0.06239899
## is_active_training1 0.17340727
## has_aat_data:is_active_training1 0.18037601
## hu_has_aat_data 0.12146311
## hu_is_active_training1 0.28002824
## hu_has_aat_data:is_active_training1 0.11335070
Moderation by training status of the stimulus
We expected a larger difference between training and non-training days for trained than for untrained stimuli.
Decrease foods:
## Craving## Craving ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.574851620 0.05805298
## hu_Intercept -0.934679958 0.24748545
## has_aat_data -0.005933807 0.03040053
## is_active_training1 -0.195082568 0.07928364
## is_untrained1 -0.074466651 0.05723268
## has_aat_data:is_active_training1 0.045282743 0.04796495
## has_aat_data:is_untrained1 0.055461618 0.05455248
## is_active_training1:is_untrained1 0.172431751 0.08398108
## has_aat_data:is_active_training1:is_untrained1 -0.028774535 0.08236113
## hu_has_aat_data -0.159717581 0.10417060
## hu_is_active_training1 0.248433476 0.31726405
## hu_is_untrained1 0.237082923 0.18566252
## hu_has_aat_data:is_active_training1 0.130779236 0.14386634
## hu_has_aat_data:is_untrained1 0.063265870 0.17410355
## hu_is_active_training1:is_untrained1 -0.314584552 0.26575230
## hu_has_aat_data:is_active_training1:is_untrained1 -0.255938050 0.25840202
## Q2.5 Q97.5
## Intercept 3.461468381 3.68434764
## hu_Intercept -1.429191582 -0.45007753
## has_aat_data -0.066070293 0.05330993
## is_active_training1 -0.349812097 -0.04210242
## is_untrained1 -0.192171180 0.03256035
## has_aat_data:is_active_training1 -0.048712679 0.14078852
## has_aat_data:is_untrained1 -0.051577266 0.16420732
## is_active_training1:is_untrained1 0.008499399 0.33969724
## has_aat_data:is_active_training1:is_untrained1 -0.189927454 0.13251075
## hu_has_aat_data -0.358399339 0.04180785
## hu_is_active_training1 -0.365590708 0.86917800
## hu_is_untrained1 -0.138143424 0.58636243
## hu_has_aat_data:is_active_training1 -0.158897231 0.40529063
## hu_has_aat_data:is_untrained1 -0.274749986 0.41043044
## hu_is_active_training1:is_untrained1 -0.815638416 0.20574465
## hu_has_aat_data:is_active_training1:is_untrained1 -0.756534407 0.24361095
## Intake## Intake ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.389941204 0.06865314
## hu_Intercept 0.316291047 0.16179576
## has_aat_data 0.032181348 0.04550152
## is_active_training1 -0.058036011 0.09228867
## is_untrained1 -0.051111415 0.07240391
## has_aat_data:is_active_training1 -0.044652364 0.06635034
## has_aat_data:is_untrained1 0.058366051 0.08252447
## is_active_training1:is_untrained1 0.152453755 0.10328812
## has_aat_data:is_active_training1:is_untrained1 0.027647355 0.11932542
## hu_has_aat_data -0.019599731 0.09559706
## hu_is_active_training1 0.104140405 0.20136311
## hu_is_untrained1 0.311880603 0.16150357
## hu_has_aat_data:is_active_training1 0.071922369 0.13370957
## hu_has_aat_data:is_untrained1 -0.023573531 0.15854461
## hu_is_active_training1:is_untrained1 -0.281237041 0.21500148
## hu_has_aat_data:is_active_training1:is_untrained1 -0.006856027 0.23333695
## Q2.5 Q97.5
## Intercept 3.255952078 3.52265360
## hu_Intercept -0.008875342 0.62522262
## has_aat_data -0.054420740 0.12403453
## is_active_training1 -0.232364641 0.12230236
## is_untrained1 -0.192430242 0.09071452
## has_aat_data:is_active_training1 -0.177018660 0.08406765
## has_aat_data:is_untrained1 -0.105374924 0.22059593
## is_active_training1:is_untrained1 -0.047849194 0.35785786
## has_aat_data:is_active_training1:is_untrained1 -0.206111989 0.26099054
## hu_has_aat_data -0.204406432 0.16909634
## hu_is_active_training1 -0.293311148 0.48408287
## hu_is_untrained1 -0.008051626 0.63455533
## hu_has_aat_data:is_active_training1 -0.182092749 0.33661919
## hu_has_aat_data:is_untrained1 -0.335249524 0.28692848
## hu_is_active_training1:is_untrained1 -0.719395873 0.13943854
## hu_has_aat_data:is_active_training1:is_untrained1 -0.458539275 0.43797747
Increase foods:
## Craving## Craving ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.414704291 0.06815569
## hu_Intercept -0.547282268 0.26522474
## has_aat_data 0.040624810 0.03337955
## is_active_training1 -0.007699954 0.09631169
## is_untrained1 0.057316590 0.05912464
## has_aat_data:is_active_training1 -0.027383646 0.04783900
## has_aat_data:is_untrained1 -0.064904134 0.05815695
## is_active_training1:is_untrained1 -0.034866571 0.08249275
## has_aat_data:is_active_training1:is_untrained1 -0.019367705 0.08466580
## hu_has_aat_data -0.130332085 0.10927725
## hu_is_active_training1 -0.211230317 0.38386418
## hu_is_untrained1 0.046074273 0.17350803
## hu_has_aat_data:is_active_training1 0.080630114 0.15888448
## hu_has_aat_data:is_untrained1 -0.123849936 0.16859468
## hu_is_active_training1:is_untrained1 0.233589561 0.25932404
## hu_has_aat_data:is_active_training1:is_untrained1 0.022512995 0.25263288
## Q2.5 Q97.5
## Intercept 3.27899289 3.54541427
## hu_Intercept -1.08182685 -0.04354510
## has_aat_data -0.02499787 0.10759433
## is_active_training1 -0.19645930 0.18407239
## is_untrained1 -0.05678665 0.17345600
## has_aat_data:is_active_training1 -0.11930327 0.06813391
## has_aat_data:is_untrained1 -0.18208750 0.04898061
## is_active_training1:is_untrained1 -0.19728775 0.12475131
## has_aat_data:is_active_training1:is_untrained1 -0.18148938 0.14134263
## hu_has_aat_data -0.34828328 0.07907026
## hu_is_active_training1 -0.95581683 0.54372307
## hu_is_untrained1 -0.29451994 0.38932914
## hu_has_aat_data:is_active_training1 -0.22521197 0.39130119
## hu_has_aat_data:is_untrained1 -0.45943305 0.19859011
## hu_is_active_training1:is_untrained1 -0.28124313 0.74586015
## hu_has_aat_data:is_active_training1:is_untrained1 -0.46737933 0.52205809
## Intake## Intake ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * is_untrained + (has_aat_data * is_untrained | vpNumber) + (has_aat_data * is_active_training * is_untrained | imgNumber) + (has_aat_data * is_active_training * is_untrained | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.372163928 0.08393365
## hu_Intercept 0.689835732 0.17535871
## has_aat_data -0.037035463 0.05807719
## is_active_training1 -0.080328808 0.11064515
## is_untrained1 -0.021000570 0.08347708
## has_aat_data:is_active_training1 0.095774980 0.08011004
## has_aat_data:is_untrained1 0.002914976 0.09399141
## is_active_training1:is_untrained1 0.099272700 0.11529540
## has_aat_data:is_active_training1:is_untrained1 -0.138888809 0.13727867
## hu_has_aat_data -0.020985706 0.08851281
## hu_is_active_training1 -0.214139020 0.23532611
## hu_is_untrained1 -0.060389777 0.14291343
## hu_has_aat_data:is_active_training1 -0.134476938 0.12948601
## hu_has_aat_data:is_untrained1 -0.003383225 0.14753011
## hu_is_active_training1:is_untrained1 0.128610473 0.20903711
## hu_has_aat_data:is_active_training1:is_untrained1 0.086595848 0.21622742
## Q2.5 Q97.5
## Intercept 3.20744195 3.53278310
## hu_Intercept 0.35653941 1.03400183
## has_aat_data -0.14993350 0.07773354
## is_active_training1 -0.30484167 0.13821064
## is_untrained1 -0.18731712 0.14219712
## has_aat_data:is_active_training1 -0.06431952 0.24976367
## has_aat_data:is_untrained1 -0.18169905 0.18511000
## is_active_training1:is_untrained1 -0.12688073 0.32796699
## has_aat_data:is_active_training1:is_untrained1 -0.40866216 0.12712709
## hu_has_aat_data -0.19564536 0.14999817
## hu_is_active_training1 -0.67047116 0.25495667
## hu_is_untrained1 -0.33729640 0.21889060
## hu_has_aat_data:is_active_training1 -0.38995021 0.12323990
## hu_has_aat_data:is_untrained1 -0.29697157 0.27964315
## hu_is_active_training1:is_untrained1 -0.28265512 0.53912705
## hu_has_aat_data:is_active_training1:is_untrained1 -0.33836782 0.50491473
Moderation by impulsivity
We expected that the difference between training and non-training days is moderated by baseline impulsivity scores (measured with the UPPS)
Decrease foods:
## Craving - Subscale: UPPS Perseverance## Craving ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.922128688 0.23974676
## hu_Intercept -1.843385564 0.99922665
## has_aat_data -0.013921161 0.11996595
## is_active_training1 -0.707967705 0.37868141
## UPPSpers -0.126719672 0.08024388
## has_aat_data:is_active_training1 -0.184375333 0.19701594
## has_aat_data:UPPSpers 0.009539376 0.04075615
## is_active_training1:UPPSpers 0.194755043 0.12364063
## has_aat_data:is_active_training1:UPPSpers 0.071146609 0.06473848
## hu_has_aat_data -0.195849483 0.37960128
## hu_is_active_training1 1.068512812 1.58192374
## hu_UPPSpers 0.346139214 0.33452531
## hu_has_aat_data:is_active_training1 -0.820314550 0.58697591
## hu_has_aat_data:UPPSpers 0.015776529 0.12517700
## hu_is_active_training1:UPPSpers -0.323418836 0.51784612
## hu_has_aat_data:is_active_training1:UPPSpers 0.288906296 0.19300389
## Q2.5 Q97.5
## Intercept 3.46189718 4.40057899
## hu_Intercept -3.80444493 0.13794089
## has_aat_data -0.24374899 0.22469204
## is_active_training1 -1.44669890 0.04179765
## UPPSpers -0.29063325 0.02673258
## has_aat_data:is_active_training1 -0.56735150 0.20317316
## has_aat_data:UPPSpers -0.06936016 0.08839762
## is_active_training1:UPPSpers -0.04667954 0.43043937
## has_aat_data:is_active_training1:UPPSpers -0.05685091 0.19984808
## hu_has_aat_data -0.94521373 0.54722388
## hu_is_active_training1 -2.05238804 4.05676670
## hu_UPPSpers -0.33316140 0.98929285
## hu_has_aat_data:is_active_training1 -1.97032806 0.36741133
## hu_has_aat_data:UPPSpers -0.22812040 0.25703820
## hu_is_active_training1:UPPSpers -1.31139514 0.68741523
## hu_has_aat_data:is_active_training1:UPPSpers -0.10034701 0.65802017
## Craving - Subscale: UPPS Premeditation## Craving ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.86723576 0.28255596 3.30526183
## hu_Intercept -0.14485017 1.15855328 -2.37928724
## has_aat_data 0.19988622 0.15150563 -0.08838812
## is_active_training1 -1.11887413 0.41811677 -1.93658134
## UPPSprem -0.10314665 0.09332850 -0.28955235
## has_aat_data:is_active_training1 -0.23596620 0.22788091 -0.67212786
## has_aat_data:UPPSprem -0.06225744 0.04945747 -0.15921443
## is_active_training1:UPPSprem 0.32379689 0.13617647 0.04697845
## has_aat_data:is_active_training1:UPPSprem 0.08967517 0.07340500 -0.05277827
## hu_has_aat_data -0.11351010 0.43027617 -0.97474435
## hu_is_active_training1 0.72909956 1.71117663 -2.66808598
## hu_UPPSprem -0.23274466 0.38164302 -0.98604841
## hu_has_aat_data:is_active_training1 -0.38481208 0.65630321 -1.68309305
## hu_has_aat_data:UPPSprem -0.01224868 0.14010006 -0.28542108
## hu_is_active_training1:UPPSprem -0.18938646 0.55968103 -1.29852150
## hu_has_aat_data:is_active_training1:UPPSprem 0.14492532 0.21231477 -0.26812247
## Q97.5
## Intercept 4.42204524
## hu_Intercept 2.09543680
## has_aat_data 0.50166310
## is_active_training1 -0.29614735
## UPPSprem 0.07998673
## has_aat_data:is_active_training1 0.20021311
## has_aat_data:UPPSprem 0.03196067
## is_active_training1:UPPSprem 0.58850918
## has_aat_data:is_active_training1:UPPSprem 0.23322180
## hu_has_aat_data 0.72156653
## hu_is_active_training1 4.07242112
## hu_UPPSprem 0.50305319
## hu_has_aat_data:is_active_training1 0.89946146
## hu_has_aat_data:UPPSprem 0.26170020
## hu_is_active_training1:UPPSprem 0.92337413
## hu_has_aat_data:is_active_training1:UPPSprem 0.55811018
## Craving - Subscale: UPPS Sensation Seeking## Craving ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.20980966 0.17367304 2.88146245
## hu_Intercept -0.27086621 0.76719387 -1.82046676
## has_aat_data 0.06803421 0.08361741 -0.09490918
## is_active_training1 0.30933960 0.28213157 -0.27453446
## UPPSsen 0.14784941 0.06971358 0.01067047
## has_aat_data:is_active_training1 0.11164716 0.14144669 -0.16530665
## has_aat_data:UPPSsen -0.02328250 0.03417526 -0.08979313
## is_active_training1:UPPSsen -0.18620705 0.10973151 -0.39629102
## has_aat_data:is_active_training1:UPPSsen -0.02847963 0.05542727 -0.13481091
## hu_has_aat_data -0.20558739 0.28152460 -0.76705374
## hu_is_active_training1 0.27133525 1.20337527 -2.19533106
## hu_UPPSsen -0.24714412 0.30947345 -0.86098794
## hu_has_aat_data:is_active_training1 0.30608171 0.42998492 -0.53450640
## hu_has_aat_data:UPPSsen 0.02424217 0.11518128 -0.19873062
## hu_is_active_training1:UPPSsen -0.02873055 0.47423995 -0.94870510
## hu_has_aat_data:is_active_training1:UPPSsen -0.10142161 0.17106691 -0.43717433
## Q97.5
## Intercept 3.56297891
## hu_Intercept 1.28529485
## has_aat_data 0.23551742
## is_active_training1 0.83343194
## UPPSsen 0.28386211
## has_aat_data:is_active_training1 0.39010086
## has_aat_data:UPPSsen 0.04211784
## is_active_training1:UPPSsen 0.03457746
## has_aat_data:is_active_training1:UPPSsen 0.08159798
## hu_has_aat_data 0.33278585
## hu_is_active_training1 2.58814814
## hu_UPPSsen 0.36961621
## hu_has_aat_data:is_active_training1 1.14429450
## hu_has_aat_data:UPPSsen 0.24820942
## hu_is_active_training1:UPPSsen 0.92710170
## hu_has_aat_data:is_active_training1:UPPSsen 0.23090604
## Craving - Subscale: UPPS Urgency## Craving ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.256014958 0.22831979 2.79886936
## hu_Intercept -0.005707648 0.98123280 -1.93625672
## has_aat_data 0.197671085 0.11259332 -0.02122130
## is_active_training1 0.228414468 0.31529449 -0.40658706
## UPPSurg 0.131233075 0.09689644 -0.06081562
## has_aat_data:is_active_training1 -0.119189373 0.15742892 -0.42251243
## has_aat_data:UPPSurg -0.081554737 0.04802319 -0.17537573
## is_active_training1:UPPSurg -0.160734844 0.13678893 -0.43741634
## has_aat_data:is_active_training1:UPPSurg 0.067394577 0.06833873 -0.06699485
## hu_has_aat_data -0.029903778 0.33769491 -0.67767896
## hu_is_active_training1 -0.702769492 1.34071908 -3.36645438
## hu_UPPSurg -0.366709671 0.41298305 -1.17611750
## hu_has_aat_data:is_active_training1 -0.115823736 0.48901321 -1.10377273
## hu_has_aat_data:UPPSurg -0.053616346 0.14689280 -0.34375467
## hu_is_active_training1:UPPSurg 0.375272307 0.57732236 -0.77438178
## hu_has_aat_data:is_active_training1:UPPSurg 0.076180627 0.21159696 -0.32924132
## Q97.5
## Intercept 3.70428541
## hu_Intercept 1.89294752
## has_aat_data 0.41891678
## is_active_training1 0.85789476
## UPPSurg 0.32528675
## has_aat_data:is_active_training1 0.19012078
## has_aat_data:UPPSurg 0.01345152
## is_active_training1:UPPSurg 0.10985496
## has_aat_data:is_active_training1:UPPSurg 0.20115175
## hu_has_aat_data 0.63556371
## hu_is_active_training1 1.99092398
## hu_UPPSurg 0.42908523
## hu_has_aat_data:is_active_training1 0.84388377
## hu_has_aat_data:UPPSurg 0.23674243
## hu_is_active_training1:UPPSurg 1.50563893
## hu_has_aat_data:is_active_training1:UPPSurg 0.49183585
## Intake - Subscale: UPPS Perseverance## Intake ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.96455402 0.25810604
## hu_Intercept 0.25169476 0.58415447
## has_aat_data -0.23195706 0.15432371
## is_active_training1 -0.60615295 0.41139808
## UPPSpers -0.20188641 0.08608302
## has_aat_data:is_active_training1 0.14230891 0.27098664
## has_aat_data:UPPSpers 0.09777351 0.05256470
## is_active_training1:UPPSpers 0.20474254 0.13523481
## has_aat_data:is_active_training1:UPPSpers -0.06242334 0.08892183
## hu_has_aat_data -0.71611028 0.36811556
## hu_is_active_training1 -0.10744817 0.92281689
## hu_UPPSpers 0.05224368 0.19545868
## hu_has_aat_data:is_active_training1 0.34701113 0.58118738
## hu_has_aat_data:UPPSpers 0.23836127 0.12290224
## hu_is_active_training1:UPPSpers 0.04071908 0.30298643
## hu_has_aat_data:is_active_training1:UPPSpers -0.10114143 0.19012687
## Q2.5 Q97.5
## Intercept 3.441113864 4.445087903
## hu_Intercept -0.870560476 1.439343471
## has_aat_data -0.529096617 0.076380963
## is_active_training1 -1.400401523 0.205678047
## UPPSpers -0.369277341 -0.030733702
## has_aat_data:is_active_training1 -0.406945997 0.666980296
## has_aat_data:UPPSpers -0.007917030 0.198941969
## is_active_training1:UPPSpers -0.067154038 0.468887147
## has_aat_data:is_active_training1:UPPSpers -0.233415559 0.118694445
## hu_has_aat_data -1.453984717 -0.009038802
## hu_is_active_training1 -1.927250950 1.648174307
## hu_UPPSpers -0.334760851 0.427439514
## hu_has_aat_data:is_active_training1 -0.778303651 1.490865214
## hu_has_aat_data:UPPSpers 0.006499278 0.484689615
## hu_is_active_training1:UPPSpers -0.533751930 0.652050775
## hu_has_aat_data:is_active_training1:UPPSpers -0.481099308 0.267601557
## Intake - Subscale: UPPS Premeditation## Intake ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 4.15453918 0.31529803 3.53385667
## hu_Intercept 0.27625521 0.73028767 -1.07870835
## has_aat_data -0.04867685 0.20473502 -0.45106076
## is_active_training1 -1.30418629 0.47147079 -2.23299392
## UPPSprem -0.25740857 0.10317676 -0.46270788
## has_aat_data:is_active_training1 0.04797340 0.30672144 -0.54479059
## has_aat_data:UPPSprem 0.03280471 0.06731312 -0.09929505
## is_active_training1:UPPSprem 0.42723633 0.15400662 0.12412074
## has_aat_data:is_active_training1:UPPSprem -0.02653041 0.10004740 -0.22701204
## hu_has_aat_data 0.07930566 0.46347029 -0.82552157
## hu_is_active_training1 -0.33440131 1.08663352 -2.50061682
## hu_UPPSprem 0.04652099 0.23945307 -0.44242503
## hu_has_aat_data:is_active_training1 -0.29023213 0.67155984 -1.63602796
## hu_has_aat_data:UPPSprem -0.03443064 0.15205567 -0.32763488
## hu_is_active_training1:UPPSprem 0.11379785 0.35309914 -0.55985174
## hu_has_aat_data:is_active_training1:UPPSprem 0.11936835 0.21799153 -0.29851444
## Q97.5
## Intercept 4.79284825
## hu_Intercept 1.76641258
## has_aat_data 0.35105630
## is_active_training1 -0.39400164
## UPPSprem -0.05391984
## has_aat_data:is_active_training1 0.66113500
## has_aat_data:UPPSprem 0.16574927
## is_active_training1:UPPSprem 0.72521309
## has_aat_data:is_active_training1:UPPSprem 0.16467669
## hu_has_aat_data 0.98991590
## hu_is_active_training1 1.72017600
## hu_UPPSprem 0.48846116
## hu_has_aat_data:is_active_training1 1.01258298
## hu_has_aat_data:UPPSprem 0.26415318
## hu_is_active_training1:UPPSprem 0.81870120
## hu_has_aat_data:is_active_training1:UPPSprem 0.55482123
## Intake - Subscale: UPPS Sensation Seeking## Intake ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.129110186 0.19117009 2.76833116
## hu_Intercept 0.259673411 0.44979079 -0.60668234
## has_aat_data -0.009781282 0.11787807 -0.24250493
## is_active_training1 0.497700762 0.30028929 -0.08756716
## UPPSsen 0.108481766 0.07691593 -0.04659020
## has_aat_data:is_active_training1 0.118944107 0.20351106 -0.28320153
## has_aat_data:UPPSsen 0.024892084 0.04808633 -0.06809487
## is_active_training1:UPPSsen -0.211262438 0.11898427 -0.44191655
## has_aat_data:is_active_training1:UPPSsen -0.062189091 0.08025309 -0.21446208
## hu_has_aat_data -0.145750683 0.27074408 -0.67899453
## hu_is_active_training1 -0.254083128 0.68925806 -1.57610002
## hu_UPPSsen 0.063476214 0.17766638 -0.27895072
## hu_has_aat_data:is_active_training1 0.005827560 0.43666115 -0.82274955
## hu_has_aat_data:UPPSsen 0.052321419 0.11044556 -0.16403007
## hu_is_active_training1:UPPSsen 0.101503148 0.27002251 -0.42973923
## hu_has_aat_data:is_active_training1:UPPSsen 0.023432213 0.17178412 -0.32231496
## Q97.5
## Intercept 3.51173298
## hu_Intercept 1.13183496
## has_aat_data 0.21868271
## is_active_training1 1.08267003
## UPPSsen 0.25072719
## has_aat_data:is_active_training1 0.50803266
## has_aat_data:UPPSsen 0.12127978
## is_active_training1:UPPSsen 0.02479635
## has_aat_data:is_active_training1:UPPSsen 0.09498931
## hu_has_aat_data 0.37751842
## hu_is_active_training1 1.10457066
## hu_UPPSsen 0.40127042
## hu_has_aat_data:is_active_training1 0.86282641
## hu_has_aat_data:UPPSsen 0.27072962
## hu_is_active_training1:UPPSsen 0.61310153
## hu_has_aat_data:is_active_training1:UPPSsen 0.34615354
## Intake - Subscale: UPPS Urgency## Intake ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.148020521 0.25343056 2.64281344
## hu_Intercept 1.121295907 0.58604000 -0.03152668
## has_aat_data 0.066262808 0.15039324 -0.22162630
## is_active_training1 0.308948407 0.34930757 -0.38230517
## UPPSurg 0.104026083 0.10706841 -0.10639090
## has_aat_data:is_active_training1 -0.084151736 0.22117329 -0.51953572
## has_aat_data:UPPSurg -0.007360345 0.06377875 -0.13232885
## is_active_training1:UPPSurg -0.145614648 0.15231597 -0.44495411
## has_aat_data:is_active_training1:UPPSurg 0.023188646 0.09587708 -0.16509854
## hu_has_aat_data 0.038192668 0.34597646 -0.63596697
## hu_is_active_training1 -0.754584712 0.78460215 -2.23675828
## hu_UPPSurg -0.316140003 0.24838154 -0.79022661
## hu_has_aat_data:is_active_training1 -0.110285988 0.48304683 -1.04048953
## hu_has_aat_data:UPPSurg -0.027385767 0.14906648 -0.31822443
## hu_is_active_training1:UPPSurg 0.346927016 0.34062548 -0.33403556
## hu_has_aat_data:is_active_training1:UPPSurg 0.082818419 0.20922301 -0.33836454
## Q97.5
## Intercept 3.6483112
## hu_Intercept 2.2452444
## has_aat_data 0.3590576
## is_active_training1 1.0002739
## UPPSurg 0.3144027
## has_aat_data:is_active_training1 0.3514929
## has_aat_data:UPPSurg 0.1160277
## is_active_training1:UPPSurg 0.1531095
## has_aat_data:is_active_training1:UPPSurg 0.2107306
## hu_has_aat_data 0.7161609
## hu_is_active_training1 0.8097324
## hu_UPPSurg 0.1581700
## hu_has_aat_data:is_active_training1 0.8462716
## hu_has_aat_data:UPPSurg 0.2634827
## hu_is_active_training1:UPPSurg 0.9946560
## hu_has_aat_data:is_active_training1:UPPSurg 0.4909269
Increase foods:
## Craving - Subscale: UPPS Perseverance## Craving ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error
## Intercept 3.79756020 0.29415749
## hu_Intercept -0.90509937 1.17670957
## has_aat_data -0.38549415 0.13925628
## is_active_training1 -0.55257856 0.45808649
## UPPSpers -0.12458456 0.09857629
## has_aat_data:is_active_training1 0.40160698 0.21080149
## has_aat_data:UPPSpers 0.14175137 0.04748109
## is_active_training1:UPPSpers 0.18142344 0.15030605
## has_aat_data:is_active_training1:UPPSpers -0.15048035 0.06973106
## hu_has_aat_data -0.65188032 0.41444886
## hu_is_active_training1 -0.40649664 1.92479543
## hu_UPPSpers 0.12995166 0.39380412
## hu_has_aat_data:is_active_training1 1.36286303 0.67577278
## hu_has_aat_data:UPPSpers 0.16450692 0.13661201
## hu_is_active_training1:UPPSpers 0.08979652 0.62933151
## hu_has_aat_data:is_active_training1:UPPSpers -0.42649682 0.22061310
## Q2.5 Q97.5
## Intercept 3.221763115 4.366417064
## hu_Intercept -3.249359641 1.355122261
## has_aat_data -0.667793335 -0.110079169
## is_active_training1 -1.452106520 0.339834707
## UPPSpers -0.320814100 0.062451478
## has_aat_data:is_active_training1 -0.004225942 0.824811494
## has_aat_data:UPPSpers 0.049894986 0.238020930
## is_active_training1:UPPSpers -0.104965582 0.472404435
## has_aat_data:is_active_training1:UPPSpers -0.291259889 -0.015833430
## hu_has_aat_data -1.473288239 0.166339888
## hu_is_active_training1 -4.165505900 3.361704894
## hu_UPPSpers -0.635712485 0.919620369
## hu_has_aat_data:is_active_training1 0.058821560 2.680088132
## hu_has_aat_data:UPPSpers -0.108058667 0.434065394
## hu_is_active_training1:UPPSpers -1.128589969 1.292876416
## hu_has_aat_data:is_active_training1:UPPSpers -0.866383603 0.007691766
## Craving - Subscale: UPPS Premeditation## Craving ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.55446078 0.35599547 2.86179973
## hu_Intercept 0.63981470 1.40880375 -2.13534949
## has_aat_data 0.21744421 0.16637684 -0.11304860
## is_active_training1 -0.63410820 0.52801044 -1.65550102
## UPPSprem -0.03910207 0.11695091 -0.27076109
## has_aat_data:is_active_training1 -0.23093126 0.23978858 -0.70532118
## has_aat_data:UPPSprem -0.06415110 0.05391223 -0.16878610
## is_active_training1:UPPSprem 0.20088244 0.17215085 -0.14858997
## has_aat_data:is_active_training1:UPPSprem 0.06499782 0.07755126 -0.08868105
## hu_has_aat_data 0.58766030 0.51487583 -0.41811855
## hu_is_active_training1 -1.01437929 2.07643926 -5.06687651
## hu_UPPSprem -0.38829520 0.46434770 -1.29462507
## hu_has_aat_data:is_active_training1 -0.05351924 0.77089688 -1.58783120
## hu_has_aat_data:UPPSprem -0.25334690 0.17033726 -0.59169032
## hu_is_active_training1:UPPSprem 0.29832698 0.68041283 -1.04349173
## hu_has_aat_data:is_active_training1:UPPSprem 0.05324091 0.24879817 -0.41946457
## Q97.5
## Intercept 4.26762271
## hu_Intercept 3.42992110
## has_aat_data 0.53512556
## is_active_training1 0.44983068
## UPPSprem 0.19135898
## has_aat_data:is_active_training1 0.24265913
## has_aat_data:UPPSprem 0.04218291
## is_active_training1:UPPSprem 0.53182059
## has_aat_data:is_active_training1:UPPSprem 0.21832322
## hu_has_aat_data 1.60279349
## hu_is_active_training1 3.07150453
## hu_UPPSprem 0.52961924
## hu_has_aat_data:is_active_training1 1.43434072
## hu_has_aat_data:UPPSprem 0.08540589
## hu_is_active_training1:UPPSprem 1.62871769
## hu_has_aat_data:is_active_training1:UPPSprem 0.55406410
## Craving - Subscale: UPPS Sensation Seeking## Craving ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.35939498 0.21465643 2.95052149
## hu_Intercept -1.05825524 0.84477398 -2.64851498
## has_aat_data 0.09382373 0.08741498 -0.07870794
## is_active_training1 0.10368103 0.34739087 -0.55402735
## UPPSsen 0.03397232 0.08800318 -0.14185022
## has_aat_data:is_active_training1 0.03389761 0.14927668 -0.24767222
## has_aat_data:UPPSsen -0.03115403 0.03588308 -0.10226910
## is_active_training1:UPPSsen -0.05242102 0.13587545 -0.32116151
## has_aat_data:is_active_training1:UPPSsen -0.02239746 0.05813586 -0.13895470
## hu_has_aat_data 0.03525909 0.33363750 -0.62421175
## hu_is_active_training1 2.24507070 1.38009244 -0.48645033
## hu_UPPSsen 0.22242836 0.34809776 -0.45084168
## hu_has_aat_data:is_active_training1 -0.10074116 0.52701541 -1.17561028
## hu_has_aat_data:UPPSsen -0.08706826 0.13458379 -0.34640715
## hu_is_active_training1:UPPSsen -0.95106261 0.54153292 -1.99539907
## hu_has_aat_data:is_active_training1:UPPSsen 0.08030710 0.20641743 -0.31945026
## Q97.5
## Intercept 3.78507029
## hu_Intercept 0.55714385
## has_aat_data 0.26652732
## is_active_training1 0.78395534
## UPPSsen 0.20319566
## has_aat_data:is_active_training1 0.33895933
## has_aat_data:UPPSsen 0.03919334
## is_active_training1:UPPSsen 0.20994536
## has_aat_data:is_active_training1:UPPSsen 0.09214980
## hu_has_aat_data 0.67695227
## hu_is_active_training1 4.85516509
## hu_UPPSsen 0.89467600
## hu_has_aat_data:is_active_training1 0.91353822
## hu_has_aat_data:UPPSsen 0.17345248
## hu_is_active_training1:UPPSsen 0.12351345
## hu_has_aat_data:is_active_training1:UPPSsen 0.49457541
## Craving - Subscale: UPPS Urgency## Craving ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.12210727 0.27360270 2.58609349
## hu_Intercept 0.17524883 1.10722357 -1.98440043
## has_aat_data 0.18983581 0.12060082 -0.04407251
## is_active_training1 0.39766232 0.37806791 -0.35064304
## UPPSurg 0.14120537 0.11616409 -0.08489465
## has_aat_data:is_active_training1 -0.33460665 0.16035793 -0.65247253
## has_aat_data:UPPSurg -0.07377872 0.05147627 -0.17486210
## is_active_training1:UPPSurg -0.18655510 0.16431383 -0.51052728
## has_aat_data:is_active_training1:UPPSurg 0.13465915 0.06891685 0.00305250
## hu_has_aat_data 0.19708024 0.39370373 -0.58656215
## hu_is_active_training1 -0.37350523 1.57205606 -3.38288659
## hu_UPPSurg -0.30750793 0.48094636 -1.26505251
## hu_has_aat_data:is_active_training1 -0.51981013 0.57448163 -1.61772421
## hu_has_aat_data:UPPSurg -0.16367358 0.17013974 -0.49475268
## hu_is_active_training1:UPPSurg 0.10077828 0.68903166 -1.31321074
## hu_has_aat_data:is_active_training1:UPPSurg 0.27294595 0.24906720 -0.22371066
## Q97.5
## Intercept 3.64790773
## hu_Intercept 2.32308097
## has_aat_data 0.42772771
## is_active_training1 1.15075700
## UPPSurg 0.37031561
## has_aat_data:is_active_training1 -0.02178850
## has_aat_data:UPPSurg 0.02674147
## is_active_training1:UPPSurg 0.13619541
## has_aat_data:is_active_training1:UPPSurg 0.27273895
## hu_has_aat_data 0.96954440
## hu_is_active_training1 2.75755240
## hu_UPPSurg 0.63178284
## hu_has_aat_data:is_active_training1 0.62554080
## hu_has_aat_data:UPPSurg 0.18006244
## hu_is_active_training1:UPPSurg 1.43724575
## hu_has_aat_data:is_active_training1:UPPSurg 0.76115772
## Intake - Subscale: UPPS Perseverance## Intake ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSpers + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.540519663 0.32064900 2.9070492
## hu_Intercept 0.871082531 0.74824402 -0.5610684
## has_aat_data -0.024139519 0.21716212 -0.4457736
## is_active_training1 0.222107999 0.51490632 -0.8094562
## UPPSpers -0.057316897 0.10633936 -0.2671208
## has_aat_data:is_active_training1 -0.205092330 0.34199451 -0.8657220
## has_aat_data:UPPSpers -0.003605244 0.07264779 -0.1432988
## is_active_training1:UPPSpers -0.086803637 0.16778480 -0.4079320
## has_aat_data:is_active_training1:UPPSpers 0.085928067 0.11223513 -0.1359620
## hu_has_aat_data -0.066561804 0.34675577 -0.7540788
## hu_is_active_training1 -0.965042600 1.18929969 -3.2873577
## hu_UPPSpers -0.070846219 0.25098205 -0.5616438
## hu_has_aat_data:is_active_training1 0.447511990 0.54726386 -0.6313471
## hu_has_aat_data:UPPSpers 0.013499972 0.11585431 -0.2058919
## hu_is_active_training1:UPPSpers 0.265042602 0.38743145 -0.5192718
## hu_has_aat_data:is_active_training1:UPPSpers -0.179420372 0.17927754 -0.5342626
## Q97.5
## Intercept 4.1658790
## hu_Intercept 2.3255537
## has_aat_data 0.3982471
## is_active_training1 1.2160806
## UPPSpers 0.1563576
## has_aat_data:is_active_training1 0.4671326
## has_aat_data:UPPSpers 0.1345535
## is_active_training1:UPPSpers 0.2492694
## has_aat_data:is_active_training1:UPPSpers 0.3041734
## hu_has_aat_data 0.5900167
## hu_is_active_training1 1.4415209
## hu_UPPSpers 0.4111110
## hu_has_aat_data:is_active_training1 1.5423403
## hu_has_aat_data:UPPSpers 0.2423948
## hu_is_active_training1:UPPSpers 1.0247265
## hu_has_aat_data:is_active_training1:UPPSpers 0.1727803
## Intake - Subscale: UPPS Premeditation## Intake ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSprem + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.60571987 0.38834817 2.8425299
## hu_Intercept 0.50598619 0.88165183 -1.2068919
## has_aat_data 0.09398872 0.27448507 -0.4414536
## is_active_training1 -0.47006664 0.56171260 -1.5914869
## UPPSprem -0.07760435 0.12654145 -0.3263316
## has_aat_data:is_active_training1 -0.06698818 0.37699726 -0.8120073
## has_aat_data:UPPSprem -0.04214839 0.08996861 -0.2180267
## is_active_training1:UPPSprem 0.13863579 0.18319130 -0.2215454
## has_aat_data:is_active_training1:UPPSprem 0.04041347 0.12288976 -0.1990628
## hu_has_aat_data 0.08610478 0.42189471 -0.7412893
## hu_is_active_training1 -0.69429796 1.32244600 -3.2066342
## hu_UPPSprem 0.05397196 0.28898870 -0.5281377
## hu_has_aat_data:is_active_training1 0.35415302 0.62329839 -0.8466115
## hu_has_aat_data:UPPSprem -0.03764343 0.13806547 -0.3008260
## hu_is_active_training1:UPPSprem 0.16706204 0.43154968 -0.6602046
## hu_has_aat_data:is_active_training1:UPPSprem -0.14733570 0.20063062 -0.5515651
## Q97.5
## Intercept 4.3616984
## hu_Intercept 2.2362740
## has_aat_data 0.6280369
## is_active_training1 0.6344911
## UPPSprem 0.1704462
## has_aat_data:is_active_training1 0.6773435
## has_aat_data:UPPSprem 0.1345464
## is_active_training1:UPPSprem 0.4996442
## has_aat_data:is_active_training1:UPPSprem 0.2862542
## hu_has_aat_data 0.8871880
## hu_is_active_training1 1.8488319
## hu_UPPSprem 0.6212677
## hu_has_aat_data:is_active_training1 1.6067509
## hu_has_aat_data:UPPSprem 0.2314160
## hu_is_active_training1:UPPSprem 1.0022935
## hu_has_aat_data:is_active_training1:UPPSprem 0.2392614
## Intake - Subscale: UPPS Sensation Seeking## Intake ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSsen + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.257785928 0.24233155 2.78098417
## hu_Intercept -0.304045124 0.53928704 -1.36551106
## has_aat_data 0.024336122 0.14772390 -0.25897917
## is_active_training1 0.107033243 0.37764135 -0.66551695
## UPPSsen 0.049014089 0.09728182 -0.14061998
## has_aat_data:is_active_training1 0.071333704 0.25105778 -0.40724302
## has_aat_data:UPPSsen -0.025797076 0.06104643 -0.14502700
## is_active_training1:UPPSsen -0.066382944 0.14769664 -0.35269197
## has_aat_data:is_active_training1:UPPSsen -0.002703734 0.09955934 -0.20494180
## hu_has_aat_data 0.399502519 0.23590931 -0.05382305
## hu_is_active_training1 1.681348120 0.86265004 -0.03485878
## hu_UPPSsen 0.414992268 0.21483272 0.00175802
## hu_has_aat_data:is_active_training1 -0.877614393 0.39770787 -1.67037853
## hu_has_aat_data:UPPSsen -0.185440042 0.09749061 -0.37863242
## hu_is_active_training1:UPPSsen -0.762893821 0.33647956 -1.40719359
## hu_has_aat_data:is_active_training1:UPPSsen 0.323062924 0.15623636 0.02384741
## Q97.5
## Intercept 3.729877363
## hu_Intercept 0.729232789
## has_aat_data 0.308554853
## is_active_training1 0.833291984
## UPPSsen 0.237272721
## has_aat_data:is_active_training1 0.588391005
## has_aat_data:UPPSsen 0.092585802
## is_active_training1:UPPSsen 0.231022036
## has_aat_data:is_active_training1:UPPSsen 0.187280665
## hu_has_aat_data 0.866129440
## hu_is_active_training1 3.340105194
## hu_UPPSsen 0.841490459
## hu_has_aat_data:is_active_training1 -0.111975306
## hu_has_aat_data:UPPSsen 0.005980855
## hu_is_active_training1:UPPSsen -0.094195806
## hu_has_aat_data:is_active_training1:UPPSsen 0.633912115
## Intake - Subscale: UPPS Urgency## Intake ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)
## hu ~ has_aat_data * is_active_training * UPPSurg + (has_aat_data | vpNumber) + (has_aat_data * is_active_training | imgNumber) + (has_aat_data | vpNumber:imgNumber)## Estimate Est.Error Q2.5
## Intercept 3.285815715 0.30574185 2.7033561
## hu_Intercept 1.302308284 0.71836839 -0.1084546
## has_aat_data -0.176573969 0.20040329 -0.5670441
## is_active_training1 -0.036464286 0.42869378 -0.8906559
## UPPSurg 0.039754414 0.12991945 -0.2190395
## has_aat_data:is_active_training1 0.290882020 0.26772894 -0.2311407
## has_aat_data:UPPSurg 0.062211524 0.08435092 -0.1037562
## is_active_training1:UPPSurg -0.006928973 0.18443106 -0.3760925
## has_aat_data:is_active_training1:UPPSurg -0.104948035 0.11485244 -0.3350839
## hu_has_aat_data 0.458705398 0.32873922 -0.1929264
## hu_is_active_training1 -1.179398329 0.97039575 -3.0864308
## hu_UPPSurg -0.277993272 0.30742798 -0.8853299
## hu_has_aat_data:is_active_training1 -0.497466826 0.44804144 -1.3809422
## hu_has_aat_data:UPPSurg -0.216508173 0.14081472 -0.4884018
## hu_is_active_training1:UPPSurg 0.444778790 0.42292547 -0.3799251
## hu_has_aat_data:is_active_training1:UPPSurg 0.176461455 0.19518216 -0.1998447
## Q97.5
## Intercept 3.89087511
## hu_Intercept 2.74141971
## has_aat_data 0.21399114
## is_active_training1 0.81030538
## UPPSurg 0.28616170
## has_aat_data:is_active_training1 0.81593025
## has_aat_data:UPPSurg 0.22616202
## is_active_training1:UPPSurg 0.36249795
## has_aat_data:is_active_training1:UPPSurg 0.11857864
## hu_has_aat_data 1.09279627
## hu_is_active_training1 0.68003396
## hu_UPPSurg 0.34796519
## hu_has_aat_data:is_active_training1 0.36272162
## hu_has_aat_data:UPPSurg 0.05850439
## hu_is_active_training1:UPPSurg 1.27112592
## hu_has_aat_data:is_active_training1:UPPSurg 0.55842008
Analyses of craving and intake over the course of the study
We also analysed how craving and intake changed over the course of the study. This analyses are based on hypothesis H4 of the pre-registration where we predicted that the difference between the AAI and AAA on food intake/craving increases over the period of the intervention. However, we deviated from the pre-registered analysis by using generalised additive models (GAMs).
Decrease foods:
## Craving## Craving ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f
## hu ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f## Estimate Est.Error Q2.5
## Intercept 3.78404196 0.01050192 3.76359178
## hu_Intercept -0.69519453 0.02345161 -0.74213164
## is_active_training_f1 -0.08445046 0.01510081 -0.11391774
## hu_is_active_training_f1 0.13291603 0.03221197 0.07154636
## sstudy_day_n:is_active_training_f0_1 -0.66806046 0.45508640 -1.67223454
## sstudy_day_n:is_active_training_f1_1 -0.50417427 0.53765448 -1.47286994
## hu_sstudy_day_n:is_active_training_f0_1 1.43193084 0.93556555 -0.21652024
## hu_sstudy_day_n:is_active_training_f1_1 1.19665196 1.06126106 -0.52281105
## Q97.5
## Intercept 3.80447569
## hu_Intercept -0.65095744
## is_active_training_f1 -0.05489805
## hu_is_active_training_f1 0.19741677
## sstudy_day_n:is_active_training_f0_1 0.11236335
## sstudy_day_n:is_active_training_f1_1 0.75462423
## hu_sstudy_day_n:is_active_training_f0_1 3.65219573
## hu_sstudy_day_n:is_active_training_f1_1 3.68716854
## Intake## Intake ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f
## hu ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f## Estimate Est.Error Q2.5
## Intercept 3.5824234136 0.01465958 3.55405753
## hu_Intercept 0.1080641801 0.02082747 0.06789788
## is_active_training_f1 -0.0003714664 0.02142047 -0.04202423
## hu_is_active_training_f1 0.0238648170 0.03064445 -0.03632410
## sstudy_day_n:is_active_training_f0_1 -0.4760590931 0.51512434 -1.73574076
## sstudy_day_n:is_active_training_f1_1 -0.1601764007 0.44165103 -1.07650889
## hu_sstudy_day_n:is_active_training_f0_1 0.6222797236 0.84900979 -0.79341478
## hu_sstudy_day_n:is_active_training_f1_1 -1.7560182381 1.69054971 -5.67095587
## Q97.5
## Intercept 3.61089872
## hu_Intercept 0.14873607
## is_active_training_f1 0.04131232
## hu_is_active_training_f1 0.08522718
## sstudy_day_n:is_active_training_f0_1 0.41342847
## sstudy_day_n:is_active_training_f1_1 0.77291587
## hu_sstudy_day_n:is_active_training_f0_1 2.82609539
## hu_sstudy_day_n:is_active_training_f1_1 0.96875147
Increase foods:
## Craving## Craving ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f
## hu ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f## Estimate Est.Error Q2.5
## Intercept 3.69660789 0.01162349 3.67406658
## hu_Intercept -0.29860643 0.02218592 -0.34204103
## is_active_training_f1 -0.03902218 0.01698585 -0.07362724
## hu_is_active_training_f1 -0.07852493 0.03215197 -0.14095427
## sstudy_day_n:is_active_training_f0_1 -0.08912637 0.27769045 -0.63218244
## sstudy_day_n:is_active_training_f1_1 -0.01739205 0.37491172 -0.54574734
## hu_sstudy_day_n:is_active_training_f0_1 3.58335181 1.59901974 0.88703030
## hu_sstudy_day_n:is_active_training_f1_1 5.15559257 2.32902423 0.62331566
## Q97.5
## Intercept 3.71962084
## hu_Intercept -0.25527566
## is_active_training_f1 -0.00554247
## hu_is_active_training_f1 -0.01603175
## sstudy_day_n:is_active_training_f0_1 0.59492630
## sstudy_day_n:is_active_training_f1_1 0.98334305
## hu_sstudy_day_n:is_active_training_f0_1 7.05267425
## hu_sstudy_day_n:is_active_training_f1_1 9.97228114
## Intake## Intake ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f
## hu ~ s(study_day_n, by = is_active_training_f, k = -1) + is_active_training_f## Estimate Est.Error Q2.5
## Intercept 3.55870497 0.01834665 3.52309576
## hu_Intercept 0.45208331 0.02169064 0.41030267
## is_active_training_f1 0.09451329 0.02534045 0.04479696
## hu_is_active_training_f1 -0.20749958 0.03103716 -0.26853508
## sstudy_day_n:is_active_training_f0_1 -0.23202813 0.46430988 -1.43864588
## sstudy_day_n:is_active_training_f1_1 -0.39310261 0.45796358 -1.51524221
## hu_sstudy_day_n:is_active_training_f0_1 -0.05430348 0.53211725 -1.33089793
## hu_sstudy_day_n:is_active_training_f1_1 -0.29697707 0.71026700 -1.70548040
## Q97.5
## Intercept 3.5950547
## hu_Intercept 0.4953867
## is_active_training_f1 0.1430278
## hu_is_active_training_f1 -0.1469620
## sstudy_day_n:is_active_training_f0_1 0.6150664
## sstudy_day_n:is_active_training_f1_1 0.3699825
## hu_sstudy_day_n:is_active_training_f0_1 0.9114925
## hu_sstudy_day_n:is_active_training_f1_1 1.2809799
