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Objectives We present a dynamic view of gender patterns in informal caregiving across Europe in a context of sociodemographic transformations. We aim to answer the following research questions: (a) has the gender gap in informal caregiving changed; (b) if so, is this due to changes among women and/or men; and (c) has the gender care gap changed differently across care regimes? Methods Multilevel growth curve models are applied to gendered trajectories of informal caregiving of a panel sample of 50+ Europeans, grouped into 5-year cohorts and followed across 5 waves of the Survey of Health, Ageing and Retirement in Europe survey, stratified by sex and adjusted for several covariates. Results For men in cohorts born more recently, there is a decrease in the prevalence of informal care outside the household, whereas cohort trajectories for women are mostly stable. Prevalence of care inside the household has increased for later-born cohorts for all without discernible changes to the gender care gap. Gender care gaps overall widened among later-born cohorts in the Continental cluster, whereas they remained constant in Southern Europe, and narrowed in the Nordic cluster. Discussion We discuss the cohort effects found in the context of gender differences in employment and care around retirement age, as well as possible demographic explanations for these. The shift from care outside to inside the household, where it mostly consists of spousal care, may require different policies to support carers, whose age profile and possible care burden seem to be increasing. [ABSTRACT FROM AUTHOR]

Background The income gradient in mortality is generated through an interplay between socio-economic processes and health over the life course. International migration entails the displacement of an individual from one context to another and may disrupt these processes. Furthermore, migrants are a selected group that may adopt distinct strategies and face discrimination in the labour market. These factors may have implications for the income gradient in mortality. We investigate whether the income gradient in mortality differs by migrant status and by individual-level factors surrounding the migration event. Methods We use administrative register data comprising the total resident population in Sweden aged between 30 and 79 in 2015 (n  = 5.7 million) and follow them for mortality during 2015–17. We estimate the income gradient in mortality by migrant status, region of origin, age at migration and country of education using locally estimated scatterplot smoothing and Poisson regression. Results The income gradient in mortality is less steep among migrants compared with natives. This pattern is driven by lower mortality among migrants at lower levels of income. The gradient is less steep among distant migrants than among close migrants, migrants that arrived as adults compared with children and migrants that received their education in Sweden as opposed to abroad. Conclusions Our results are consistent with the notion that income inequalities in mortality are generated through life-course processes that may be disrupted by migration. Data restrictions prevent us from disentangling life-course disruption from selection into migration, discrimination and labour market strategies. [ABSTRACT FROM AUTHOR]

Objectives Researchers frequently use the "age-as-leveler" hypothesis to explain decreasing inequality and a weakened relationship between socioeconomic position and health in old age. This study examined whether health status can explain the age pattern in the association between income and mortality as predicted by the age-as-leveler hypothesis. Method This study used longitudinal (1991–2002) data from the SWEOLD and LNU surveys. The analytical sample consisted of 2,619 people aged 54–92 in 2003. Mortality (2003–2014) and income (1991–2000) was collected from Swedish national registers. Poisson regression was used to estimate associations between mortality, income, age, and health status. Average marginal effects were used to visualize interaction effects between income and age. Results The association between income and mortality weakened in those aged 84 and older. However, health status explained a large part of the effect that age had on the association between income and mortality. Analyses done after stratifying the sample by health status showed that the association between income and mortality was strong in people who reported good health and weak or nonexistent in those who reported poor health. Discussion Age leveled the income–mortality association; however, health status, not age, explained most of the leveling. [ABSTRACT FROM AUTHOR]

Health inequalities are generated by the conditions in which people are born, grow, live, work and age. From a life-course perspective, these conditions are formed by complex causal relationships with mutual and intertwined paths between socioeconomic position and health. This study attempts to disentangle some of these processes by examining pathways between socioeconomic position and health across the life-course. We used yearly Swedish national register data with information from over 31 years for two cohorts born 1941–1945 and 1961–1965. We analyzed associations between several indicators of childhood and adult socioeconomic position and health, measured by number of in-patient hospitalizations. We estimated within- and between-person associations using random intercept cross-lagged panel models. The results showed bi-directional associations between socioeconomic position and health that varied in strength across the life-course. Age variations in the associations were primarily observed when individuals aged into or out of age-stratified institutions. In ages where transitions from education to the labor market are common, the associations from health to income and education were strong. Around and after retirement age, the between-person association from health to income was weak, while the association from income to health strengthened. Within-person estimates showed no association between income and subsequent hospitalization among older persons, indicating no direct causal effect of income change on health in this age group. For persons of middle age, the associations were of similar strength in both directions and present at both the between- and within-person level. Our findings highlight the importance of theoretical frameworks and methods that can incorporate the interplay between social, economic, and biological processes over the life-course in order to understand how health inequalities are generated. • Bi-directional pathways between socioeconomic position and health. • Random intercept cross-lagged panel models (RI-CLPM). • Estimates within- and between-person associations. • Age variations observed around and after retirement. • Complex interdependences with no dominant pathway across the life-course. [ABSTRACT FROM AUTHOR]