Vulnerable Older Adults' Identification, Geographic Distribution, and Policy Implications in China

Comparative Analysis of Social Networks in Institutionalized Older Adults versus Aging-in-Place Scenarios

(1) Background: This research aims to compare social networks among institutionalized and aging-in-place (AIP) older adults through the validation of a new questionnaire. (2) Methods: The cross-sectional study included 100 older adults (mean age: 73.53 ± 5.49 years; age range: 65-85 years), with 48 institutionalized subjects and 52 AIP subjects. We developed, validated, and administered a new questionnaire, the Social Network Assessment for Older People Questionnaire (SNAOPQ), to assess older adults' social networks using descriptive and inferential statistical methods. (3) Results: The SNAOPQ demonstrated excellent internal consistency (Cronbach's alpha of 0.91 and McDonald's omega of 0.91). Statistical analysis revealed significant associations between variables, highlighting differences in social networks between institutionalized and AIP individuals (p ≤ 0.001). Sociodemographic factors like age, education, living arrangement status, and number of descendants significantly influenced SNAOPQ scores (p ≤ 0.001). Age and residence type notably impacted participants' scores, indicating reduced social network size with age. Tertiary education and living in a couple were associated with more extensive social networks, while a higher number of descendants correlated with social network expansion. (4) Conclusions: Our study highlights significant differences in social networks among older adults based on residence type, emphasizing the impact of sociodemographic factors such as age, education, living arrangement, and the number of descendants.

Prevalence and correlates of disability among urban-rural older adults in Southwest China: a large, population-based study

Background

As one of the challenges of aging, older adults with disabilities are often overlooked in remote areas of many developing countries, including southwest China. Similar populations would undoubtedly benefit from a representative, high-quality survey of large samples, which would also enrich global disability data. This study aims to assess the prevalence of disability and associated factors among urban and rural older adults in a typical representative region.

Method

A large-scale baseline survey was conducted between March and September 2020 using face-to-face interviews with a multistage stratified random sample of 16,536 participants aged ≥ 60 years. Disability was assessed using the BI scale, with a score of 100 representing normal status, 65–95 as mild disability, 45–60 as moderate disability, and 0–40 as severe disability. The prevalence of disability was estimated by demographics and health characteristics, and their associations were explored by robust Poisson regression analysis.

Results

The prevalence of disability among older adults was 19.4%, and the prevalence of mild, moderate, and severe disability was 16.8%, 1.5%, and 1.1%, respectively. All variables, including older age, residence in a rural area, higher number of hospitalizations, comorbidities, poor self-rated health, falls, cognitive impairment, mental impairment, and alienation from friends and relatives, were shown to be associated with a higher adjusted prevalence of disability. Only formal education can reduce the risk of disability.

Conclusion

The prevalence of disability among older adults is high in both urban and rural settings in southwest China, and a number of important factors associated with disability have been identified. In addition to increased attention to the health status of older adults, further research on scientific management and effective disability interventions is needed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03193-2.