scholarly journals Heterogeneous Health Classes for Older Adults in China: Based on Multidimensional Health

2021 ◽  
Author(s):  
Yi Hu ◽  
Zhenyu Wang ◽  
Zhihan Liu ◽  
Bei Li
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Health Status ◽  
Chronic Diseases ◽  
Social Participation ◽  
Latent Class ◽  
Multiple Chronic Conditions ◽  
Latent Classes ◽  
Chinese Older Adults ◽  
Multidimensional Health

Abstract Background The concept of health is multidimensional, so the evaluation of the health status of the elderly and the analysis of the influencing factors should also be multidimensional. This study aims to identify the heterogeneity of the health status of Chinese older adults. Methods Data were derived from the China Health and Retirement Longitudinal Study (CHARLS) 2015 (n = 4190). Latent class analysis was performed based on 6 health indicators, including self-reported health status, the number of chronic diseases, activity of daily living (ADL), depressive symptoms, cognitive ability, and social activities participation. Logistic regression was used to analyze the predictive effect of demographic characteristics variables on different health classes of older adults. Results Three health latent classes were identified and labeled as Relatively Healthy Group (n = 1003, 23.94%), Multiple Chronic Conditions with High Social Participation Group (n = 1744, 41.62%), and Frail Group (n = 1443, 34.44%). The health status of Chinese older adults is not optimistic. In particular, our study found that older adults with multiple chronic diseases had the highest social participation frequency among the three classes. When Frail Group was the reference, the logistic regression results showed that older-aged adults, those without spouses, those with low educational level, and those with agricultural household registration were more likely to be Frail Group. Conclusion There is heterogeneity in the health status of older adults, and identifying the health status of older adults from a multidimensional health perspective can help provide better health services to them based on health latent classes.

scholarly journals Health Behaviors and Health Status among Middle-Aged and Older Adults with Chronic Diseases in Taiwan

2020 ◽  
Vol 17 (19) ◽  
pp. 7196
Author(s):  
Wei-Hua Tian ◽  
Joseph J. Tien
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Health Behavior ◽  
Health Behaviors ◽  
Chronic Diseases ◽  
Latent Class ◽  
Healthy Diet ◽  
Lifestyle Behaviors ◽  
Middle Aged ◽  
The Relationship

Changes in lifestyle behaviors may effectively maintain or improve the health status of individuals with chronic diseases. However, such health behaviors adopted by individuals are unlikely to demonstrate similar patterns. This study analyzed the relationship between the heterogeneous latent classes of health behavior and health statuses among middle-aged and older adults with hypertension, diabetes, or hyperlipidemia in Taiwan. After selecting 2103 individuals from the 2005 and 2009 Taiwan National Health Interview Survey (NHIS), we first identified heterogeneous groups of health behaviors through latent class analysis (LCA). We further explored the relationship between each latent class of health behavior and health status through ordered logit regression. We identified the following five distinct health behavior classes: the all-controlled, exercise and relaxation, healthy diet and reduced smoking or drinking, healthy diet, and least-controlled classes. Regression results indicated that individuals in classes other than the all-controlled class all reported poor health statuses. We also found great magnitude of the coefficient estimates for individuals who reported their health status to be poor or very poor for the least-controlled class. Therefore, health authorities and medical providers may develop targeted policies and interventions that address multiple modifiable health behaviors in each distinct latent class of health behavior.

scholarly journals MORE OR LESS? A DECADE’S TREND OF SOCIAL PARTICIPATION AMONG CHINESE OLDER ADULTS: BASED ON A LONGITUDINAL SURVEY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S630-S630
Author(s):  
Chenxin Tan ◽  
Yun Zhou
Keyword(s):  
Older Adults ◽  
Social Participation ◽  
Healthy Aging ◽  
Latent Class ◽  
The Elderly ◽  
Health Condition ◽  
Chinese Older Adults ◽  
The Family ◽  
Family Centered ◽  
Over Time

Abstract Social participation is of great significance in healthy aging. While studies on social participation among Chinese elderly are growing, there is a lack of understanding the changes over time of the participation. Using datasets from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), this paper presents a comprehensive analysis on a decade’s trend of social participation among Chinese older adults. First, we use the method of Latent Class Analysis (LCA) to identify types of social participation; in this study, we concluded three types, no participation, the family-centered, and the society-oriented. Second, we examine the characteristics of the elderly by types of participation in terms of demographic, socioeconomic and health condition and analyze the changes in the characteristics over time. And third, we interpret the trend of social participation with broader social environment, or the fluctuant structural and institutional differences under the context of China’s unique social system. Our general conclusion is that while the overall level of participation holds relatively steady, there is a dynamic micro progress and complex mechanisms in this long period. In addition, although both the family-centered participants and the society-oriented possess broader scopes of social participation, the related attributes are different across time. This paper contributes to our knowledge of life of the elderly under the circumstances of fast aging process in China.

Malnutrition and its associated factors among elderly Chinese with physical functional dependency

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Hongting Ning ◽  
Yan Du ◽  
Donna Ellis ◽  
Hong-Wen Deng ◽  
Hengyu Hu ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Social Participation ◽  
Associated Factors ◽  
Binary Logistic Regression ◽  
Functional Dependency ◽  
Nutrition Status ◽  
Chinese Older Adults ◽  
Elderly Chinese ◽  
Health Related

Abstract Objective: To assess the prevalence and to identify the associated factors of malnutrition among elderly Chinese with physical functional dependency. Design: Face-to-face interviews using standardised questionnaires were conducted to collect demographic information, health-related issues and psychosocial status. Physical function was measured by the Barthel Index (BI), and nutrition status was assessed by the Mini Nutritional Assessment–Short Form. Multivariate binary logistic regression was used to assess associated factors of malnutrition. Setting: China. Participants: A total of 2323 participants (aged ≥ 60 years) with physical functional dependency in five provinces in China were enrolled using a multistage cluster sampling scheme. Results: The prevalence of malnutrition was 17·9 % (95 % CI 16·3, 19·4). Multivariable binary logistic regression revealed the independent risk factors of poor nutrition status were being female, older age, lower educational status, poor hearing, poor physical functional status, lack of hobbies, low religious participation, poor social support, lack of social participation and changes in social participation. The study found that the most significant independent risk factor for malnutrition was complete physical functional dependence (OR 4·46, 95 % CI 2·92, 6·82). Conclusions: The findings of the study confirm that malnutrition and the risk of malnutrition are prevalent in Chinese older adults with physical functional dependency. In addition to demographic and physical health-related factors, psychosocial factors, which are often overlooked, are independently associated with nutrition status in Chinese older adults with physical functional dependency. A holistic approach should be adopted to screen for malnutrition and develop health promotion interventions in this vulnerable population.

scholarly journals Social Participation Patterns and Well-Being Among Older Adults: Findings From the United States, the UK, and China

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 293-294
Author(s):  
Yun Zhou ◽  
Bei Wu ◽  
Chenxin Tan
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Social Participation ◽  
Latent Class ◽  
Well Being ◽  
The United States ◽  
Chinese Older Adults ◽  
The Us ◽  
Nationally Representative ◽  
The Uk

Abstract This study used Latent Class Analysis to examine patterns of social participation among older adults in the US, the UK, and China, from the three nationally representative surveys conducted in 2018-2019: The Health and Retirement Study, the English Longitudinal Study of Ageing, and the China Health and Retirement Longitudinal Study. Although the profiles of social participation were distinctively different, several common patterns were found: Comprehensive Participants, Occasional Participants, and Deficient Participants. It was estimated that less than 10% of older adults from these countries were extensively engaged in social participation. Seventy-seven percent of Chinese older adults were shown being “Deficient Participants”, and the percentages were 29% and 20% in the US and the UK, respectively. The findings showed positive associations of levels of participation with socioeconomic status and health. The magnitudes of these associations varied across the nations. Actions are needed to promote levels of participation for Chinese older adults.

Productive Activity Patterns and Functional Health: A Comparison of Urban and Rural Chinese Older Adults

2020 ◽  
Vol 91 (4) ◽  
pp. 538-562
Author(s):  
Jiao Yu ◽  
Yulin Yang ◽  
Eva Kahana
Keyword(s):  
Older Adults ◽  
Latent Class ◽  
Activity Patterns ◽  
Productive Aging ◽  
Functional Health ◽  
Productive Activity ◽  
Multilevel Regression ◽  
Chinese Older Adults ◽  
Health Trajectories ◽  
Urban Rural

This study examines the association between productive activity patterns and functional health trajectories of Chinese older adults and whether this association varies by urban/rural residence. Using three waves of the China Health and Retirement Longitudinal Study from a sample of 7,503 older adults, we first performed latent class analysis (LCA) to identify productive activity patterns based on four activities (work, caregiving, informal help, and formal volunteering). Next, multilevel regression analyses were conducted to assess the association between the identified productive activity patterns and functional health trajectories among older adults. Four productive activity patterns are identified from LCA: nonengagers, working-caregivers, workers, and helpers. We find that participation in productive activities is associated with slower functional health decline. The moderation effects of urban/rural differences are prominent across identified groups. Our findings highlight the importance of the urban/rural context in understanding productive aging and its health consequences among Chinese older adults.

scholarly journals A MULTIDIMENSIONAL MODEL FOR POLYPHARMACY MEASUREMENT IN OLDER ADULTS: EVIDENCE FROM THE HEALTH RETIREMENT STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S707-S707
Author(s):  
Rebecca Bendayan ◽  
Ewan Carr ◽  
Alex D Federman ◽  
Richard J Dobson
Keyword(s):  
Older Adults ◽  
Latent Class ◽  
Optimal Number ◽  
Model Fit ◽  
Latent Classes ◽  
Chi Square ◽  
Chronic Health ◽  
Adverse Health Outcomes ◽  
Traditional Research ◽  
Retirement Study

Abstract Polypharmacy is associated with increased health care costs and adverse health outcomes. Traditional research on polypharmacy uses dichotomous measures which overlook its multidimensional nature. We propose a new approach to grouping older adults based on the number and type of medications taken as well as other indicators of polypharmacy. Data was extracted from 1328 respondents of the 2007 Prescription Drug Survey (a sub-study of the Health Retirement Study) who were between 50 and 70 years old and taking ≥1 medication each month. Latent class analysis was carried out with the optimal number of classes assessed based on relative model fit (AIC, adjusted BIC) and interpretability. Latent classes were formed based on the number of medications, drug types, duration of medication intake, side effects, and presence of chronic health conditions. A four-class model was selected based on model fit and interpretability of the solutions. Although there was some overlap when we compared our model with standard cut-offs for polypharmacy (i.e., ‘high polypharmacy’ classes were more likely to take 5+ and 9+ medications), chi-square tests showed significant differences between our latent classes and cut-offs based on 5+ [X2 = 894; p<0.001] and 9+ medications [X2 = 398; p<0.001]. Among individuals taking <5 medications, our model differentiated two distinct types of ‘low polypharmacy’ based on the types of drugs reported. Our proposal to incorporate a multidimensional assessment of polypharmacy considers the wider context of medication use and chronic health in older age, moving beyond crude medication counts.

The Bidirectional Association Between Physical and Cognitive Function Among Chinese Older Adults: A Mediation Analysis

2020 ◽  
pp. 009141502094021 ◽  
Author(s):  
Xiaohang Zhao ◽  
Lei Jin ◽  
Skylar Biyang Sun
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Social Participation ◽  
Cognitive Aging ◽  
Reciprocal Relationship ◽  
Vicious Cycle ◽  
Chinese Older Adults ◽  
Bidirectional Association

This study investigated the bidirectional association between physical and cognitive function in later life and examined the mechanisms underlying the interrelationship. We employed cross-lagged panel models to analyze a sample of 4232 unique participants aged 65 years and older from three waves of the Chinese Longitudinal Healthy Longevity Survey. Physical activity and social participation were tested as potential mediators between physical and cognitive function. Our findings revealed a reciprocal relationship between physical and cognitive function and a reciprocal relationship between physical and cognitive decline. Moreover, physical activity was confirmed to mediate the bidirectional association between physical and cognitive function, whereas social participation did not seem to be a mediator. A vicious cycle linking physical and cognitive decline may exist in Chinese older adults. However, leading a physically active lifestyle could be an effective intervention to slow physical and cognitive aging, thereby toning down the vicious cycle.

scholarly journals Oral health status in older adults with social security in Mexico City: latent class analysis

2014 ◽  
pp. e29-35 ◽  
Author(s):  
S. Sanchez-Garcia ◽  
E. Heredia-Ponce ◽  
P. Cruz-Hervert ◽  
T. Juarez-Cedillo ◽  
Á. Cardenas-Bahena ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Oral Health ◽  
Social Security ◽  
Latent Class Analysis ◽  
Mexico City ◽  
Latent Class ◽  
Oral Health Status ◽  
Class Analysis
Sign in / Sign up

Export Citation Format

Share Document