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This study investigates the gender disparities and cohort differences in the health trajectories of older Chinese adults. Drawn on a nationally representative dataset from the 2008–2018 Chinese Longitudinal Healthy Longevity Survey, this paper uses a growth-curve model to identify the health trajectories of older adults in functional limitations, chronic diseases, depressive symptoms and cognitive skills. Older women are found to have slightly fewer functional limitations than older men at an earlier age; however, this gap is reversed later because of women's higher deterioration rate in physical function. Compared to men, older women have more chronic diseases at younger ages, but this trend is changed after age 90 years due to a faster decline rate in chronic diseases for women. The gender gap in the depressive symptom trajectories narrows with age, whereas the gap in the trajectories of cognitive skills widens. The cohort differences favouring later-born cohorts decrease with age in the trajectory of functional limitations. The latest cohort born in 1940 or after has the fastest increase in chronic diseases and depressive symptoms among all the cohorts. These results are further verified using the random-effect model and pooled ordinary least squares. Policymakers should promote gender equality and reduce cohort differences to achieve the national goal of "Healthy China". [ABSTRACT FROM AUTHOR]

It has been found that people with disabilities remain at the margin as far as the different aspects of their lives are concerned. This paper tests the hypothesis that disability leads to lower quality of life among older adults in low and middle-income countries. The data from the Study on Global Ageing and Adult Health (SAGE) was used in this study which was conducted in Ghana, China, India, Russia, South Africa and Mexico. The disability scores have been made utilising Item Response Theory, Partial Credit Model and are centered on eight functioning and health areas. Bivariate analysis, binary logistic regression and pooled regression analysis have been used to fulfil the objectives of the paper. The findings reveal that disability acts as a hindrance in attaining a high quality of life (HQOL) amongst the older adults in the above mentioned low and middle-income countries. The older adults with disability are as much as 60% less likely to enjoy an HQOL with respect to the older adults without disability. Better socio-economic development like improved health care for disabled older adults with disability enhanced living standards for both abled and disabled, efficient pension schemes for older adults with disability and effective social service schemes would be very much essential to improve overall QOL among older adults. [ABSTRACT FROM AUTHOR]

Though a continued increase in life expectancy is a significant public health achievement, keeping older adults active and maintaining their well-being is challenging. Active aging requires physical health, mental health, functional independence, economic stability, social participation, and spiritual identification. Among all these factors, social cohesion has significant importance, but there is a dearth of studies focusing on older adults' social cohesion. Thus, the present study focuses on the level of social cohesion among older adults and its variation among the different economic classes. This article uses data from the Study on Global AGEing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia, and South Africa during 2007–10. Social cohesion scores have been constructed using Item Response Theory Partial Credit Model. Also, bivariate analysis, concentration curves, concentration indices, and multivariate regressions have been used for the analysis presented in this paper. This study confirms the strong predictive power of age, wealth, education, and working status of older adults on their social cohesion across the countries. Higher social non-cohesion is found among the economically poor older adults in Mexico, Russia, India, and China. In contrast, it is just opposite in the case of older adults in South Africa. Governments should develop policies to foster a society with a high level of social inclusion, social capital, and social diversity, to achieve further advancement in social cohesion. [ABSTRACT FROM AUTHOR]

Carrying out investigations into the relationships between the satisfaction in old-age security and its influence factors is of great significance for safeguarding social fairness and justice. As powerful statistical tools in machine learning, the support vector machine (SVM) and back-propagation neural network (BPNN) algorithms are used to develop nonlinear estimation models for satisfaction in the old-age security in China. Five influence factors (educational background, educational satisfaction, satisfaction with family's financial situation, overall life satisfaction, society overall evaluation) were used as the input features. A SVM model obtained in this paper has prediction accuracies of 78.0% for the training set and 77.5% for the test, and a BPNN model possesses prediction accuracies of 77.8% and 77.0% for the two tests. Obviously, the SVM is superior to the BPNN in predicting satisfaction of old-age security in China. [ABSTRACT FROM AUTHOR]

Rapid demographic change, economic growth, and evolving social norms have put increasing pressure on the traditional system of filial piety and family-based eldercare in China. This paper examines the current role of intergenerational transfers in providing old-age support using nationally representative data from the China Health and Retirement Longitudinal Study. The analysis explores varied modes of care that exist in rural and urban areas, as well as the role of internal migration in influencing methods of old-age support. The results paint a rich description of the contemporary dynamics between filial obligations and economic development. [ABSTRACT FROM AUTHOR]