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This study examines how the intersecting consequences of race-ethnicity, gender, socioeconomics status (SES), and age influence health inequality. We draw on multiple-hierarchy stratification and life course perspectives to address two main research questions. First, does racial-ethnic stratification of health vary by gender and/or SES? More specifically, are the joint health consequences of racial-ethnic, gender, and socioeconomic stratification additive or multiplicative? Second, does this combined inequality in health decrease, remain stable, or increase between middle and late life? We use panel data from the Health and Retirement Study (N = 12,976) to investigate between-and within-group differences in in self-rated health among whites, blacks, and Mexican Americans. Findings indicate that the effects of racial-ethnic, gender, and SES stratification are interactive, resulting in the greatest racial-ethnic inequalities in health among women and those with higher levels of SES. Furthermore, racial-ethnic/gender/SES inequalities in health tend to decline with age. These results are broadly consistent with intersectionality and aging-as-leveler hypotheses.

Blacks are especially hard hit by cognitive impairment at older ages compared to whites. Here, we take advantage of the Health and Retirement Study (1998-2010) to assess how this racial divide in cognitive impairment is associated with the racial stratification of life course exposures and resources over a 12-year period among 8,946 non-Hispanic whites and blacks ages 65 and older in 1998. We find that blacks suffer from a higher risk of moderate/severe cognitive impairment at baseline and during the follow-up. Blacks are also more likely to report childhood adversity and to have grown up in the segregated South, and these early-life adversities put blacks at a significantly higher risk of cognitive impairment. Adulthood socioeconomic status is strongly associated with the risk of cognitive impairment, net of childhood conditions. However, racial disparities in cognitive impairment, though substantially reduced, are not eliminated when controlling for these life course factors.

A large body of research links wealth and health, but most previous work focuses on net worth. However, the assets and debts that comprise wealth likely relate to health in different and meaningful ways. Furthermore, racial differences in wealth portfolios may contribute to racial health gaps. Using longitudinal data from the Panel Study of Income Dynamics (PSID) and mixed effects growth curve models, we examined the associations between various wealth components and multiple health outcomes. We also investigated whether black–white differences in wealth portfolios contributed to racial health inequality. We found that savings, stock ownership, and homeownership consistently improve health, but debt is associated with worse health, even after adjusting for total net worth. We found little evidence that home equity is associated with health. Findings also revealed differential health returns to assets by race. These findings provide new insights into the complex relationship among race, wealth, and health.

Objective This study employs the life course perspective to explore the lived experience of grandparents who have no contact with their grandchildren due to parental alienation (PA). Background PA represents situations in which a child becomes estranged from one parent because of the manipulation of the other parent. The estrangement from the alienated parent leads to and manifests inter alia in denial of contact with the grandparents from the alienated side of the family. It is critical to examine the experiences of grandparents who were denied contact with their grandchildren due to PA to identify these grandparents’ unique needs and facilitate assistance and support. Method Thirteen grandparents aged 63 to 83 years (M = 72 years, SD = 6.52) were interviewed using an interpretive phenomenological analysis approach to analyze their narratives. Findings Participant interviews revealed four superordinate themes: (a) the race against time, (b) disregard of grandparents’ victim status, (c) health and functioning implications of alienation from grandchildren, and (d) reflections on being a grandparent suffering from PA and insights at this stage of life. Conclusions PA‐related estrangement from grandchildren leads to negative outcomes regarding grandparents’ daily functioning, perception, and well‐being. Aging characteristics collide with these outcomes to form an experience unique to grandparents in these vulnerable situations. Implications Practitioners treating older adults require awareness of parental alienation's adverse impact on grandparents to address their specific needs and hardships. Additionally, it is incumbent on the legal system and practitioners involved in PA cases to consider grandparent victimization, allow them to voice their pain, and take their interests into account.

Abstract Background Multimorbidity, known as the co-occurrence of at least two chronic conditions, has become of increasing concern in the current context of ageing populations, though it affects all ages. Early life risk factors of multimorbidity include adverse childhood experiences (ACEs), particularly associated with psychological conditions and weight problems. Few studies have considered related mechanisms and focus on old age participants. We are interested in estimating, from young adulthood, the risk of overweight-depression comorbidity related to ACEs while adjusting for early life confounders and intermediate variables. Methods We used data from the 1958 National Child Development Study, a prospective birth cohort study ( N = 18 558). A four-category outcome (no condition, overweight only, depression only and, overweight-depression comorbidity) was constructed at 23, 33, and 42 years. Multinomial logistic regression models adjusting for intermediate variables co-occurring with this outcome were created. ACEs and sex interaction on comorbidity risk was tested. Results In our study sample ( N = 7762), we found that ACEs were associated with overweight-depression comorbidity risk throughout adulthood (RRR [95% CI] at 23y = 3.80 [2.10–6.88]) though less overtime. Comorbidity risk was larger than risk of separate conditions. Intermediate variables explained part of the association. After full-adjustment, an association remained (RRR [95% CI] at 23y = 2.00 [1.08–3.72]). Comorbidity risk related to ACEs differed by sex at 42. Conclusion Our study provides evidence on the link and potential mechanisms between ACEs and the co-occurrence of mental and physical diseases throughout the life-course. We suggest addressing ACEs in intervention strategies and public policies to go beyond single disease prevention.

Emotions are increasingly being recognised and integrated into human geography and it has been highlighted that focusing on the 'interrelatedness' of the research process is crucial. By contextualising fieldwork within the life course of the researcher, greater acknowledgement of the 'emotional labour' involved in fieldwork can be highlighted. The author reflects on the 'emotional geographies' of conducting PhD research into significant health issues with participants who had recently suffered a heart attack in Fife, Scotland. This paper reveals emotions involved in this kind of research, drawing on perspectives from participants as well as the researcher. The author also draws attention to, and reflects on, the lack of engagement with researcher's emotional labour within formal academic structures, such as research training and ethics application processes. Reflecting on fieldwork experiences from a distance, the author discusses the influence and impact of her emotional experiences of fieldwork. This paper contributes to work concerned with emotions and fieldwork in geography and asserts that greater importance and value needs to be given to this type of emotion work as embedded and situated within researchers' life courses.

Adolescent mental health difficulties are increasing over time. However, it is not known whether their adulthood health and socio-economic sequelae are changing over time. Participants ( = 31 349) are from two prospective national birth cohort studies: 1958 National Child Development Study ( = 16 091) and the 1970 British Cohort Study ( = 15 258). Adolescent mental health was operationalised both as traditional internalising and externalising factors and a hierarchical bi-factor. Associations between adolescent psychopathology and age 42 health and wellbeing (mental health, general health, life satisfaction), social (cohabitation, voting behaviour) and economic (education and employment) outcomes are estimated using linear and logistic multivariable regressions across cohorts, controlling for a wide range of early life potential confounding factors. The prevalence of adolescent mental health difficulties increased and their associations with midlife health, wellbeing, social and economic outcomes became more severe or remained similar between those born in 1958 and 1970. For instance, a stronger association with adolescent mental health difficulties was found for those born in 1970 for midlife psychological distress [odds ratio (OR) 1970 = 1.82 (1.65-1.99), OR 1958 = 1.60 (1.43-1.79)], cohabitation [OR 1970 = 0.64 (0.59-0.70), OR 1958 = 0.79 (0.72-0.87)], and professional occupations [OR 1970 = 0.75 (0.67-0.84), OR 1958 = 1.05 (0.88-1.24)]. The associations of externalising symptoms with later outcomes were mainly explained by their shared variance with internalising symptoms. The widening of mental health-based inequalities in midlife outcomes further supports the need to recognise that secular increases in adolescent mental health symptoms is a public health challenge with measurable negative consequences through the life-course. Increased public health efforts to minimise adverse outcomes are needed.

Objectives This study aims to provide insight into educational differences in duration of working life by working life expectancy (WLE) and working years lost (WYL) through disability benefits and other non-employment states in the Netherlands. Methods Monthly information on employment status of the Dutch population (N=4 999 947) between 16 and 66 years from 2001‒2015 was used to estimate working life courses and loss of working years for specific non-employment states. Across educational groups, bi-directional transitions between paid employment and non-employment states were calculated. Using a multistate model, the WLE and WYL at age 16, 30, 50 and up to 66 years as statutory retirement age were estimated for each educational group, stratified by gender. Results Low-educated men and women had a 7.3 (men) and 9.9 (women) years lower WLE at age 30 than high-educated men and women. Among low-educated men, 3.4 working years were lost due to disability benefit compared to 0.8 among high-educated men. Low-educated women lost 3.0 working years due to disability benefit compared to 1.4 among high-educated women. Conclusions There are large educational inequalities over the course of working life. Among low-educated workers, more working years are lost due to unemployment, no income, and especially disability benefits. The latter reflects large educational inequalities in health and working conditions. The metrics of WLE and WYL provide useful insights into the life-course perspective on working careers.

BackgroundIntergenerational social mobility is hypothesised to be a stressful process that has a negative effect on health. By examining the relationship between own socioeconomic position, parental socioeconomic position and allostatic load (AL) in a representative sample of the British population, we test this hypothesis.MethodsOur study uses cross-sectional data from 9851 adult participants of waves 2 and 3 of Understanding Society. The relationship between parental occupational class at age 14 years, respondents’ social class at the time of the interview and AL is explored by means of diagonal reference models, which allow us to disentangle the effects of parental social class, own social class and the mobility process. The AL score comprises the following biomarkers: (1) total cholesterol, (2) high-density lipoprotein cholesterol, (3) triglycerides, (4) glycated haemoglobin, (5) C-reactive protein, (6) fibrinogen, (7) systolic blood pressure, (8) diastolic blood pressure, (9) resting heart rate, (10) body mass index and (11) waist circumference.ResultsAL is particularly high among the stable working class and low among the stable upper class. On average, current class and origin class exert about equal weight on current AL. However, social mobility—regardless of whether upwards or downwards—is not detrimental for AL. Furthermore, we find evidence that class of origin may be less important among those outside the labour market for reasons other than retirement.ConclusionBoth own social class and parental social class influence AL to a similar extent. However, we find no evidence that mobility trajectories exert any effects, good or bad, on AL.