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China’s unprecedented population aging and social and economic change raise important issues concerning life course determinants of advantage or disadvantage into later life. Data from the China Health and Retirement Longitudinal Study (CHARLS) 2013 were analysed to identify the influence of childhood health on later life health as indicated by self-rated health and how this influence could be mediated by social and economic positions (SEP) and resources later in the life span. CHARLS provides nationally representative data on 18, 000 individuals aged 45 years and above in approximately 150 districts and 450 villages. Both multivariate logit regression model and KHB method (Karlson/Holm/Breen method) were applied to examine and decompose the life span influences on later life health. The results show that the childhood health, accounts for approximately half of the effect directly and another half of the effect indirectly through social and economic variations during adulthood. Relative living standard, marital status and urban residence are the most significant and important social and economic mediators for men; For women, living standard and secondary schooling are most influential while marital status is not significant. Implications for social and economic policies to improve later life health are discussed., Highlights • Early life health influences later life health • Early life health enables better education, adulthood SEP and resources • Lifelong disadvantage existed in health for women, minorities and rural residents • Impact of childhood health can be partially mediated by adulthood socio-economic positions and resources • Socio-economic positions and resources have larger influence on health for men than women

Background: As people in middle and lower income countries live longer, more people become sick, disabled, and frail and the demand for family caregiving grows. Thailand faces such challenges. This study investigates the relationship between caregiving and mental health among workers drawn from a large longitudinal cohort of Thai adults. Methods: Participants were drawn from the Thai Health-Risk Transition Study, a cohort study since 2005 of distance-learning adult Open University students residing nationwide. Caregiving status and binary psychological distress outcome (score 19–30 on Kessler 6) were recorded in 2009 and 2013 among cohort members who were paid workers at both years (n=33,972). Multivariate logistic regression was used to estimate the relationship between four-year longitudinal caregiving status and psychological distress in 2013, adjusting for potential covariates. Results: Longitudinal analyses revealed the transitional nature of care with 25% exiting and 10% entering the caring role during the four-year follow-up. Based on multivariate logistic regression, 2009–2013 caregiving status was significantly associated with psychological distress. Cohort members transitioning into caregiving and those who were caregivers in both 2009 and 2013 had a higher risk for psychological distress than non-caregivers (Adjusted Odds Ratios 1.40 [1.02–1.96] and 1.64 [1.16–2.33], respectively). Conclusion: Our findings provide evidence on caregiving and associated risk for psychological distress among working Thais. This adds to the limited existing literature in middle-income countries and highlights the potential pressure among caregivers in balancing work and care while preserving their own mental health. Keywords: Carers, Caregivers, Mental health, Work and health, Longitudinal data, Cohort study, Thailand