![]() ![]() We applied a fixed-effects approach to 4,985 parent-child dyads nested in 2,511 parents to assess the influence of children’s union dissolution on three different measures of parental health (depression, grip strength, and frailty). ![]() Method: Data from four waves of the Dutch component of the Survey of Health, Ageing and Retirement in Europe (SHARE) were linked to panel register data from the System of Social-statistical Datasets (SSD). However, the extent to which parental health changes before and after a child’s separation is still barely investigated. Background: The family life course perspective and theories of social stress suggest that adult children's union dissolution may affect a parent's health. Objective: This study aimed at investigating gender differences in the longitudinal associations between adult children’s union dissolution and older parents’ health. ![]() The review concludes by identifying directions for future research on families and health, advocating for a “family biography” framework to guide future research, and calling for more research specifically designed to assess policies that affect families and their health from childhood into later life. Significant innovations in methods include dyadic and family‐level analysis and causal inference strategies. Significant advances include the linking of childhood family experiences to health at older ages, identification of biosocial processes that explain how family ties influence health throughout life, research on social contagion showing how family members influence one another's health, and attention to diversity in family and health dynamics, including gender, sexuality, socioeconomic, and racial diversity. ![]() This decade review uses a life course perspective to frame significant advances in research on the effects of family structure and transitions (e.g., marital status) and family dynamics and quality (e.g., emotional support from family members) on health across the life course. Family ties have wide‐ranging consequences for health, for better and for worse. ![]()
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