What Matters for Health and Happiness Among the Older Adults in Asia
Author | : Nai Peng Tey |
Publisher | : Frontiers Media SA |
Total Pages | : 278 |
Release | : 2024-03-11 |
Genre | : Medical |
ISBN | : 283254584X |
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People want to live a healthy and happy later life. A large body of literature shows the close association between health status and happiness and between health and active engagement (in work, exercise, and social and religious activities). However, the causation between the two can run both ways, and it is difficult to determine the causal effect with cross-sectional data. Various authors have shown the significant influence of socioeconomic factors and human needs on older people’s health status and happiness. A better understanding of the factors affecting healthy and happy aging is essential for policymaking to improve the well-being of older people. The availability of data from HRS-family studies in several Asian countries (CHARLS in China, LASI in India, JSTAR in Japan, KLoSA in Korea, IFLS in Indonesia, HART in Thailand, MARS in Malaysia, and Longitudinal Study of Ageing and Health in Viet Nam) (see Gateway to Global Aging Data) provides an excellent opportunity for researchers to examine factors affecting health and happiness among older adults within and across Asian countries. This research topic aims to gather papers that investigate the socioeconomic, attitudinal, and behavioural factors affecting the health status and happiness/life satisfaction of older adults in Asia. The dependent variables may include physical health, mental health, disability (ADL/IADL), cognitive functioning), self-rated health, health expenditure, feeling of happiness and life satisfaction. The independent variables may be age, gender, marital status, place of residence, educational level, active engagement (work, exercise, social and religious activities), family and social relationship and support, outlook in life, smoking, drinking, and access to and utilization of healthcare services, etc. Manuscripts can be based on individual countries or cross-country analysis, preferably using the panel data to establish the causal effects of the independent variables on the dependent variables.