A more comprehensive investigation of disability and associated factors among older adults receiving home-based care in rural Dongguan, China

Utilisation of community healthcare services among older adults with disabilities in Luohu district, Shenzhen: a community-based survey

OBJECTIVE

China faces the challenge of an ageing population with disabilities. Community healthcare centres (CHCs) serve as frontline community healthcare providers for older adults with and without disabilities. Despite their significance, there is a lack of literature examining the utilisation of CHC services among older adults. This study aims to examine and compare the utilisation and satisfaction of CHC healthcare services among older adults with and without disabilities.

SETTING

Data from the 2019 Community Health Diagnosis Questionnaire, which interviewed 259 older adults residing in the Luohu district of Shenzhen, were used in the current study.

PRIMARY OUTCOME MEASURES

Participants self-reported outcomes including use of CHCs, use of home health services from CHCs and satisfaction with CHCs. Five different disability types and an integrated disability variable were assessed as independent variables. Linear probability models were used to determine the relationship between disability types and outcome variables.

RESULTS

Among 259 older adults aged 60 years and older, 70.66% self-identified as having a disability. No statistically significant associations were found between the use of CHCs, the use of home health services from CHCs and satisfaction with CHCs, and disability status. However, older adults with mobility and cognitive disabilities were more likely to receive home health services from CHCs.

CONCLUSION

Community health promotion policies should be implemented to improve access to health services for older adults with and without disabilities. In addition, CHCs should implement effective health management plans to ensure the health needs of older adults with disabilities.

Prevalence and patterns of multimorbidity in China during 2002-2022: A systematic review and meta-analysis

BACKGROUND

Multimorbidity is common, particularly among elderly people. Restructuring health service systems to better manage this public health issue requires knowledge regarding disease prevalence and patterns. We quantified the epidemiology characteristics of multimorbidity among adults in China to inform policy-making and resource allocation.

METHODS

We searched 10 databases for studies (January 2000-October 2023) reporting primary epidemiological multimorbidity data for adults in China. We included observational studies; we excluded duplicate publications and studies investigating a single comorbidity pattern, focused on specific population categories, using medical insurance reimbursement data, and with unclear/incomplete data. We assessed risk of bias using the STROBE checklist and estimated heterogeneity among studies. The prevalence was pooled using the random-effects method and sample size as weight.

FINDINGS

Of 13,998 records retrieved, 67 studies (30 in English, 37 in Chinese) were included. The prevalence (95% confidence interval) of multimorbidity was 25.4% (15.1%, 35.7%) among Chinese adults. Among 42 studies reporting age-specific prevalence, multimorbidity prevalence increased rapidly with age: 3.3% (0%, 15.2%) for age 18-29 years, 5.9% (0%, 12.9%) for 30-44 years, 17.6% (6.1%, 29.1%) for 45-59 years, 32.4% (16.1%, 48.7%) for 60-69 years, 38.5% (23.6%, 53.4%) for 70-79 years, and 40.2% (20.8%, 59.6%) for age ≥ 80 years. Overall prevalence of multimorbidity has increased in recent years, with regional disparity. The most common patterns included hypertension with hearing impairment (10.4% [95% CI: 4.3%, 16.5%]), dyslipidemia (8.9% [4.1%, 13.6%]), and diabetes (8.7% [3.7%, 13.8%]).

CONCLUSION

Multimorbidity was present nearly one in four Chinese adults, with hypertensive diseases and other comorbidities being the most-observed pattern; the prevalence increased rapidly with increased age. There is huge variation in the prevalence of multimorbidity across China. Coordinated, comprehensive strategies are urgently needed to control the ongoing impact of multimorbidity.

Trajectories of physical functioning and its predictors in older adults: A 12-year longitudinal study in China

Objective

Maintaining and delaying a decline in physical function in older adults is critical for healthy aging. This study aimed to explore trajectories, critical points of the trajectory changes, and predictors among older people in the Chinese community.

Design

This study was one with a longitudinal design performed in China.

Setting and participants

The target population was community-dwelling older adults aged over 65 years. A total of 2,503 older adults from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were included in this study.

Methods

Physical functioning was measured by instrumental activities of daily living (IADL). Population-based trajectory models were used to identify potential heterogeneity in longitudinal changes over 12 years and to investigate associations between baseline predictors and different trajectories for different cohort members using LASSO regression and logistic regression.

Results

Four trajectories of physical function were identified: slow decline (33.0%), poor function and moderate decline (8.1%), rapid decline (23.5%), and stable function (35.4%). Older age, male sex, worse self-reported health status, worse vision status, more chronic diseases, worse cognitive function, and a decreased frequency of leisure activity influenced changes in the trajectory of physical function. Having fewer teeth, stronger depressive symptoms, a lack of exercise, and reduced hearing may increase the rate of decline.

Conclusion and implications

Four trajectories of physical function were identified in the Chinese elderly population. Early prevention or intervention of the determinants of these trajectories can maintain or delay the rate of decline in physical function and improve healthy aging.

Social participation of community-dwelling older adults in western China: A latent profile analysis

Objective

Social participation has become a policy framework to address population aging. However, little is known about the social participation of older adults in western China, and extensive, multicenter, regional research is lacking. This research investigated the profiles of social participation of older adults in western China and explored the characteristics and factors influencing social participation.

Method

This cross-sectional study was conducted in 3 provinces (Chongqing, Sichuan, and Inner Mongolia) in western China from March 2021 to December 2021 and included 3,456 participants aged 60 years or older. Social participation was assessed using the Chinese version of the Impact on Participation and Autonomy Questionnaire (IPA). Latent profile analysis (LPA) was performed to extract latent classes of social participation among older adults in western China. The chi-square test and multinomial regression analyses were used to identify differences between these classes.

Results

Three social participation classes were identified by LPA: high social participation (25.2%), moderate social participation (55.1%), and low social participation (19.7%). Being older, having a primary school education level, having mobility or speaking impairment, using assistive devices, and having a chronic disease were highly associated with the low social participation class (P < 0.05). Furthermore, older adults with no dependence (OR = 0.018, 95% CI = 0.005-0.062) or mild dependence (OR = 0.039, 95% CI = 0.011-0.139) in activities of daily living (ADLs) were less likely to be in the low social participation class. Older adults who were cared for by non-spouse primary caregivers were more likely to be assigned to the moderate social participation group (OR = 2.097, 95% CI = 1.501-2.930) than to the high social participation group.

Conclusions

Most older adults in western China have a moderate level of social participation. Advanced age, reduced ADL ability, reduced speech ability, reduced mobility, and non-spouse care are related to the level of social participation. Healthcare professionals should pay attention to the predictors for different classes, identifying high-risk groups as early as possible.

Profiles of sedentary behaviors in the oldest old: findings from the National Health and Aging Trends Study

BACKGROUND

Sedentary behavior is a significant health risk. Emerging research suggests that mentally active sedentary behaviors (e.g., computer use and reading) are associated with better health than mentally passive sedentary behaviors (e.g., watching TV). However, these relationships are not well established in the literature, and little is known about the oldest old (age ≥ 80).

AIMS

The aims of this study were to (1) identify distinct subgroups of oldest old adults based on six domains of sedentary behavior (watching TV, using a computer/tablet, talking to friends or family members, doing hobby or other activities, transportation, and resting/napping); and (2) compare health-related outcomes across identified subgroups, using the National Health and Aging Trends Study (NHATS) dataset.

METHODS

Latent profile analysis was used to identify distinct profiles of sedentary behavior. Design-based linear and logistic regressions were used to examine associations between different profiles and health outcomes, accounting for socio-demographic characteristics.

RESULTS

A total of 852 participants were included. We identified four profiles and named them based on total sedentary time (ST) and passive/active pattern: "Medium-passive", "High-passive", "Low", "High-mentally active". Compared to the "High-passive" group, "Low" group and "High-mentally active" group were associated with fewer difficulties with activities of daily living, fewer problems limiting activities and higher cognitive function.

CONCLUSION

This study, with a national representative sample of the oldest old population, suggests that both total ST and sedentary behavior pattern matter when evaluating health outcomes of being sedentary. Interventions should encourage oldest old adults to reduce ST and especially target mentally passive ST.

Prevalence and associated socioeconomic factors of multimorbidity in 10 regions of China: an analysis of 0.5 million adults

BACKGROUND

The epidemiology of multiple chronic conditions in China is poorly understood. We investigated the prevalence of multimorbidity among the middle-aged and elderly population in China and analyzed its demographic and socioeconomic correlates.

METHODS

Data were obtained from the baseline of the China Kadoorie Biobank Study, which recruited over 0.5 million participants between 2004 and 2008. We calculated the prevalence by the characteristics of multimorbidity. The demographic and socioeconomic correlates were analyzed using a multivariable logistic regression model.

RESULTS

15.9% of the participants were multimorbid. Although the prevalence of multimorbidity increased with age, the absolute number of people with multimorbidity was much higher among middle-aged adults (30-60 years, n = 42 041) than the elderly group (>60 years, n = 38 834). The odd of multimorbidity was higher in males (aOR =1.09, 95% CI: 1.07-1.11) and among those who were unemployed (aOR = 1.58, 95% CI: 1.55-1.62). Those who received the highest level of education were most likely to be multimorbid compared with those with no education (aOR = 1.14, 95% CI: 1.09-1.19). Such an association was similar when treating multimorbidity as multinomial variable.

CONCLUSIONS

Multimorbidity is a public health concern, with higher prevalence among the elderly, males and those who belong to a lower socioeconomic stratum. Actions are needed to curb multimorbidity epidemic in China.

Analysis of Risk Factors for Cognitive Dysfunction in Disabled Elderly Patients in Chengdu, China

Background

With the aging population comes an increase in functional disability that leads to dependency and institutionalization, as well as social, medical, and economic challenges. This study aimed to classify and assess the factors affecting cognitive deficits in disabled elderly people.

Material/Methods

Disabled patients ≥60 years old were assessed by face-to-face cross-sectional surveys, which were conducted using advanced peer-to-peer software. The ability to perform daily life tasks was assessed using the Modified Barthel Index. Cognitive function was evaluated with the Mini-cognitive assessment instrument. Using these surveys, 9471 individuals were included in this study. The rank-sum test was used to investigate differences between groups. Disordered multi-class logistic regression was used to correct related confounding factors for multivariate analysis.

Results

The ratios of normal cognitive function, cognitive impairment, and dementia were 3.71%, 38.59%, and 57.70%, respectively. The univariate analysis and multivariate analysis showed that older individuals (≥80 years), women, illiterate individuals, and lonely persons were more prone to dementia. Moreover, a history of hypertension, diabetes, osteoporosis, and fractures were significantly associated with dementia.

Conclusions

The proportion of dementia in the elderly disabled patients is very high (57.7%) in Chengdu City. Age (≥80 years), female sex, education level (illiterate individuals), living conditions, and chronic disease were closely correlated with cognitive functions.