SPSS 29.0 was utilized for statistical analysis. Continuous variables were assessed for normality using the Shapiro - Wilk test. Normally distributed data are presented as mean ± standard deviation and compared between groups using independent - samples t - tests (with homogeneity of variance assessed by Levene's test). Non - normally distributed data are presented as medians (interquartile ranges) and compared using the Mann - Whitney U test. Categorical variables are described as frequencies (percentages), with group differences analyzed using the chi - square test or Fisher's exact probability test. Univariate logistic regression was employed for initial screening of potential influencing factors (with P < 0.05 variables retained), followed by multivariate logistic regression (Enter method) to evaluate independent influencing factors. Odds ratios (ORs) and 95% confidence intervals were calculated. A two - tailed α level of 0.05 was used, with P < 0.05 indicating statistical significance.
A total of 2,843 participants were enrolled in the study, yielding 2,712 valid questionnaires and a response rate of 95.39%. 177 invalid questionnaires were excluded due to incomplete information, random responses, and logical errors. Among the respondents, the mean Activities of Daily Living (ADL) score was 25.07 ± 8.45, with an average age of 74.31 ± 6.31 years (ranging from 65 to 101 years). The gender distribution was nearly equal, with females comprising 49.92% and males accounting for 50.07%. A significant majority (63.05%) had received less than a primary school education. Most respondents were married and reported a mean monthly income of less than CNY 1,000. Only 15.74% indicated that they brushed their teeth less than once daily; additionally, between 20–30% identified as smokers or drinkers. The majority engaged in regular exercise and social activities; over half reported having chronic diseases, long-term medication use, or autonomic nervous system disorders. Sleep disorders were noted by approximately 45.32%, while cognitive impairment was reported by about 75.88%.
Among the cohort of older persons participants (n = 2,712), a total of 746 individuals exhibited ADL impairment, yielding a prevalence rate of 27.51% (95% CI: 25.83–29.19). When stratified by gender, the prevalence among males was 38.20% (95% CI: 35.62–40.79) compared to 61.80% (95% CI: 59.21–64.39) among females. In terms of age groups, the prevalence rates were as follows: 13.27%(95%CI : 13.02–15.78 ) for those aged 65–69 years, 24 .40% (95%CI : 21.42–27.38 ) for ages 70–74, 25.20% (95%CI: 21.79–28.61 ) for ages 75–79, and 37.13% (95%CI: 33.22–41.04) for those aged ≥ 80 years old.
2.3 Univariate Analysis of Factors Associated with ADL Impairment among the older persons
Univariate analysis revealed that basic situation - related factors, including gender, age, educational attainment, marital status, living situation, and average monthly per capita household income; dietary and lifestyle factors, including tooth - brushing frequency, participation in physical exercise, participation in social activities, smoking, and drinking; and health status - related factors, including presence of chronic diseases, sleep disorders, number of long - term medications, autonomic nervous system disorders, and impaired cognitive function, were all factors associated with ADL impairment among the older persons, with statistically significant differences (P < 0.05) (Tables 1, 2 and 3 ).
The Relationship Between ADL Performance and Geriatric Health Status in the Gelao Ethnic Minority Population
Chronic diseases have been widely recognized as significant risk factors for impaired Activities of Daily Living (ADL) in older persons populations, as evidenced by multiple studies [37]. Long-term pharmacological management of chronic conditions may trigger adverse drug reactions that cascade into multisystem effects, including visual impairment, altered consciousness, and psychiatric symptoms. These systemic repercussions not only contribute to cognitive decline but also directly compromise ADL performance through mechanisms such as neurotransmitter dysregulation [38]. Notably, our findings reinforce the bidirectional relationship between cognitive impairment and ADL dysfunction. This aligns with longitudinal evidence demonstrating that baseline ADL capacity in adulthood predicts subsequent cognitive deterioration [39], while impairments in instrumental activities of daily living (IADL), when independent of physical limitations, may serve as a specific prodromal marker of Alzheimer’s disease [40]. Regional epidemiological studies further substantiate these patterns. For instance, within the Yi ethnic older persons population of Yunnan Province, each unit decline in IADL performance corresponds to a significantly elevated risk of cognitive impairment [38].
At the neural mechanism level, autonomic nerve dysfunction warrants particular emphasis as a potential early biomarker for neurodegenerative disorders, including Alzheimer's disease (AD) [
41]. This dysfunction initiates a multi-system cascade impairing activities of daily living (ADL) by disrupting critical physiological processes such as cardiovascular homeostasis, gastrointestinal absorption, and urogenital regulation [
42].
A
Notably, beyond conventional risk factors, our investigation revealed that regional health behavior patterns exert a disproportionate influence on ADL trajectories. Epidemiological data indicate that over half of the older persons participants reported brushing their teeth no more than once daily, with nocturnal toothbrushing rates falling markedly below recommended hygiene standards. Such suboptimal oral care practices not only elevate cardiovascular risk through systemic inflammation [
43] but also instigate a detrimental cycle of ADL decline via secondary complications. Specifically, dental caries and periodontal pathologies impair masticatory efficiency and nutritional intake, thereby exacerbating functional deterioration [
44].
This longitudinal study revealed that older persons individuals with sleep disorders exhibit a 23% elevated risk of activities of daily living (ADL) impairment compared to their counterparts with normative sleep patterns. Chronic sleep deprivation manifestations - including prolonged sleep latency and frequent nocturnal awakenings-induce hyperactivation of the hypothalamic-pituitary-adrenal (HPA) axis, resulting in a 27.3% elevation in peak cortisol concentrations and subsequent neuroendocrine dysregulation [45]. The resultant chronic stress state precipitates prefrontal cortex neurotoxicity, critically impairing executive functions essential for complex ADL performance, such as medication management and meal preparation [46]. Concurrent with cognitive effects, sleep deprivation induces mitochondrial dysfunction in skeletal muscle tissue, disrupting adenosine triphosphate (ATP) synthesis pathways. This metabolic compromise reduces muscle endurance capacity and diminishes articular flexibility, clinically manifesting as gait velocity reduction and impaired postural stability - foundational deficits directly compromising basic ADL competencies, including ambulation and personal care [45]. Notably, our path analysis identified a triadic pathological relationship between circadian rhythm disruption, cognitive impairment, and autonomic dysfunction. Among sleep-disordered participants, 68.7% demonstrated concurrent mild cognitive impairment and reduced heart rate variability, with inflammatory markers mediating accelerated sarcopenia progression and degenerative joint changes [47]. These multifactorial mechanisms appear particularly exacerbated in older persons Gelao ethnic populations. Geographically specific factors, including nocturnal hypothermia and elevated ambient humidity in mountainous regions, correlate with increased sleep fragmentation. Moreover, circadian misalignment secondary to traditional agricultural practices significantly disrupts suprachiasmatic nucleus-mediated sleep-wake regulation [48].
Acknowledgments
We would like to thank Zhang Hongxia, Chen Xiaokang, Zhao Bin, Li Xumeng, Li Jiezhen, Lin Yu, Wang Yikun, Hong Yi, Lin Chen, Wang Song, Zhang Yucheng, Chen Zhen, Wang Xubin, Yan Yu, Mei Pan, Zhang Rui, Zhang Meixue, Luo Xi, Leng Sha, Han Ran, Luo Jiao, Zhang Yuhong, Bai Yunyun, Han Yi and others participated in the field investigation, data collection and management. At the same time, we would like to express our gratitude to the CPPCC of People's Government of Wuchuan Gelao and Miao Autonomous County, Daozhen Miao and Gelao Autonomous County National Health Commission, Daozhen Gelao and Miao Autonomous County Hospital of Traditional Chinese Medicine, and the Zunyi Municipal CPPCC for their support.
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