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Introduction: Educational differences in cognitive performance among older adults are well documented. Studies that explore this association typically estimate a single average effect of education on cognitive performance. We argue that the processes that contribute to the association between education and cognitive performance are unlikely to have equal effects at all levels of cognitive performance. In this study, we employ an analytical approach that enables us to go beyond averages to examine the association between education and five measures of global and domain-specific cognitive performance across the outcome distributions., Methods: This cross-sectional study included 1,780 older adults aged 58-68 years from the Longitudinal Aging Study Amsterdam. Conditional quantile regression was used to examine variation across the outcome distribution. Cognitive outcomes included Mini-Mental State Examination (MMSE) score, crystallized intelligence, information processing speed, episodic memory, and a composite score of global cognitive performance., Results: The results showed that the associations between education and different cognitive measures varied across the outcome distributions. Specifically, we found that education had a stronger association with crystallized intelligence, MMSE, and a composite cognitive performance measure in the lower tail of performance distributions. The associations between education and information processing speed and episodic memory were uniform across the outcome distributions., Conclusion: Larger associations between education and some domains of cognitive performance in the lower tail of the performance distributions imply that inequalities are primarily generated among individuals with lower performance rather than among average and high performers. Additionally, the varying associations across some of the outcome distributions indicate that estimating a single average effect through standard regression methods may overlook variations in cognitive performance between educational groups. Future studies should consider heterogeneity across the outcome distribution., (© 2023 The Author(s). Published by S. Karger AG, Basel.)

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., (© The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Background: Childhood living conditions have been found to predict health and mortality in midlife and in old age. This study examines the associations between social and economic childhood conditions and the onset and progression of functional health problems from midlife into old age, and the extent to which potential associations are mediated by educational attainment and smoking., Methods: Data from the Level of Living Survey and the Swedish Panel Study of Living Conditions of the Oldest Old were merged to create a longitudinal data set with five repeated measures from 1968 to 2004 (n=1765, aged 30-50 years and free from functional health problems at baseline). Multilevel regression models were used to analyse retrospective reports of social and economic conditions in childhood (eg, conflicts or economic problems in the family) in relation to the progression of functional health problems over the 36-year period., Results: Results showed that social and economic disadvantages in childhood were associated with an earlier onset and a faster progression of functional health problems from midlife into old age. Subsequent models showed that differences in educational attainment, but not smoking, explained much of the association between childhood disadvantages and trajectories of functional health problems., Conclusions: According to these results, adverse social and economic conditions in childhood affect the development of functional health problems from midlife into old age indirectly through less favourable life careers, including lower education. Creating equal opportunities for educational attainment may help reduce the long-term effects of disadvantaged childhood conditions and postpone functional health problems., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Objectives: This study examined the association between childhood living conditions, socioeconomic position in adulthood, and cognition in later life. Two questions were addressed: Is there an association between childhood living conditions and late-life cognition, and if so, is the association modified or mediated by adult socioeconomic position?, Methods: Nationally representative data of the Swedish population aged 77 years and older were obtained from the 1992 and 2002 Swedish Panel Study of Living Conditions of the Oldest Old (SWEOLD). Cognition was assessed with an abbreviated version of the Mini-Mental State Examination scale. Childhood living conditions were assessed by self-reports of childhood living conditions., Results: The results showed independent associations between conflicts in the household during childhood, father's social class, education, own social class in adulthood, and cognition in later life. Exposure to conflicts during childhood, having a father classified as a manual worker, low education, and/or being classified as a manual worker in adulthood was associated with lower levels of cognition in old age. There seemed to be no modifying effect of adult socioeconomic position on the association between childhood conditions and cognition in later life., Discussion: This suggests the importance of childhood living conditions in maintaining cognitive function even in late life.

With the ageing of the population and recent pressures on important welfare state arrangements, updated knowledge on the linkage between socioeconomic status and health in old age is pertinent for shedding light on emerging patterns of health inequalities in the Nordic countries. This study examined self-rated health (SRH), mobility and activities of daily living (ADL) according to level of education in the three oldest old age groups 75–84, 85–94, and 95+, in four Nordic countries. Altogether, 6132 individuals from Danish Longitudinal Study of Ageing, Norwegian Life Course, Ageing and Generation study, Swedish Panel Study of Living Conditions of the Oldest Old, the 5-Country Oldest Old (Sweden) and Vitality 90 + Study were analysed. First, associations of education level with SRH, mobility, and ADL were estimated for each individual study by means of age- and gender-adjusted logistic regression. Second, results from individual studies were synthesized in a meta-analysis. Older adults with higher education level were more likely to report good SRH, and they were more often independent in mobility and ADL than those with basic education when all age groups were combined. In mobility and ADL, differences between education groups remained stable across the age groups but for SRH, differences seemed to be weaker in older ages. With only a few exceptions, in all age groups, individuals with higher education had more favourable health and functioning than those with basic education. This study shows remarkable persistence of health and functioning inequalities in the Nordic countries throughout later life. [ABSTRACT FROM AUTHOR]

Aims: Cross-country comparisons of mortality and longevity patterns of Nordic populations could contribute with novel insights into the compositional changes of these populations. We investigated three metrics of population ageing: the proportion of the population aged 75+ and 90+ years, the proportion of birth cohorts reaching 75 and 90 years, and life expectancy (LE) at age 75 and 90 years in Sweden, Norway, Iceland, Denmark and Finland, in the period 1990–2014. Methods: Demographic information was collected from national statistical databases and the Human Mortality Database. Results: All metrics on population ageing increased during the study period, but there were some cross-country variations. Finland experienced a notably steep increase in the proportion of 75+ and 90+ year olds compared to the other countries. Regarding the proportion reaching old ages, the Finnish lagged behind from the beginning, but females decreased this difference. The Danes were more similar to the other countries at the beginning, but did not experience the same increase over time. Gender-specific LE at age 75 and 90 years was similar overall in the five countries. Conclusions: Developments in cross-country variation suggest that survival until old age has become more similar for Finnish females and more different for Danish males and females compared with the other countries in recent decades. This provides perspectives on the potential to improve longevity in Denmark and Finland. Similarities in LE in old age suggest that expected mortality in old age has been more similar throughout the study period. [ABSTRACT FROM AUTHOR]

Background: Do inequalities in health by income increase or decrease with age? The empirical evidence is not conclusive and competing theories arrive at different conclusions.Objective: This study examined inequality in mortality by income over the adult life course with longitudinal data on people aged 30-99 between the years 1990 and 2009. Each person was followed for 19 years.Methods: We used Swedish total population data with 5,011,414 individual observations. We calculated the probability of having died for ages between 31 and 99. This approach to calculating death risk incorporates selective mortality during the follow-up period into the measure. Age and year standardized income positions were calculated for all individuals. Inequality was assessed by comparing the top 10% income group and the bottom 10% income group. Relative inequality was measured by risk ratios (RR) and absolute inequality by percentage point differences.Results: The results showed that the highest relative income inequality in mortality was at age 56 for men (RR: 4.7) and at age 40 for women (RR: 4.1) with differing patterns across the younger age categories between the sexes. The highest absolute income inequality in mortality was found at age 78 for men (19% difference) and at age 89 for women (14% difference) with similar patterns for both sexes. Both measures of inequality decreased after the peak, with small or no inequalities above age 95. Income inequality in mortality remained in advanced age, with larger absolute inequalities in older ages and larger relative inequalities in younger ages.Conclusion: The results for absolute and relative measures of inequality differed substantially; this highlights the importance of discussing and making an active choice of inequality measure. To explain and understand the patterns of inequality in mortality over the adult life course, we conclude that the "age-as-leveler" and "cumulative disadvantage" theories are best applied to an absolute measure of inequality. [ABSTRACT FROM AUTHOR]

Objectives: To test whether older adults from high and low educational groups are differentially vulnerable to the impact of smoking and physical inactivity on the progression of mobility impairment during old age. Methods: A nationally representative sample of older Swedish adults (n = 1,311), aged 57-76 years at baseline (1991), were followed for up to 23 years (2014). Multilevel regression was used to estimate individual trajectories of mobility impairment over the study period and to test for differences in the progression of mobility impairment on the basis of smoking status, physical activity status, and level of education. Results: Compared to nonsmokers, heavy smokers had higher levels and steeper increases in mobility impairment with advancing age. However, there were only small and statistically nonsignificant differences in the impact of heavy smoking on mobility impairment in high versus low education groups. A similar pattern of results was found for physical inactivity. Discussion: Differential vulnerability to unhealthy behaviors may vary across populations, age, time-periods, and health outcomes. In this study of older adults in Sweden, low and high education groups did not differ significantly in their associations between heavy smoking or physical inactivity, and the progression of mobility impairment. [ABSTRACT FROM AUTHOR]

In this report we analyzed genetically informative data to investigate within-person change and between-person differences in late-life cognitive abilities as a function of childhood social class. We used data from nine testing occasions spanning 28 y in the Swedish Adoption/Twin Study of Aging and parental social class based on the Swedish socioeconomic index. Cognitive ability included a general factor and the four domains of verbal, fluid, memory and perceptual speed. Latent growth curve models of the longitudinal data tested whether level and change in cognitive performance differed as a function of childhood social class. Between- within twin-pair analyses were performed on twins reared apart to assess familial confounding. Childhood social class was significantly associated with mean-level cognitive performance at age 65 y, but not with rate of cognitive change. The association decreased in magnitude but remained significant after adjustments for level of education and the degree to which the rearing family was supportive toward education. A between-pair effect of childhood social class was significant in all cognitive domains, whereas within-pair estimates were attenuated, indicating genetic confounding. Thus, childhood social class is important for cognitive performance in adulthood on a population level, but the association is largely attributable to genetic influences. [ABSTRACT FROM AUTHOR]

The objectives were to investigate the associations between social and financial living conditions in childhood, education and morbidity in old age. The study population (N = 591; 76+ years old) was assembled from two nationally representative Swedish surveys, in 1968 and 2011, that together made longitudinal analysis possible. Morbidity in old age comprised self-reported measures of musculoskeletal disorders, cardiovascular disease, self-rated health and impaired mobility. There were no independent associations between adverse childhood living conditions and morbidity. However, adverse childhood living conditions were associated with an increased likelihood of low education. Moreover, low education was associated with a higher probability of health problems in old age. The results did not show any associations between adverse childhood conditions and late-life morbidity. However, adverse childhood conditions were associated with lower levels of education which, in turn, was associated with health problems and attrition from the study. These results suggest that adverse childhood conditions may indeed be associated with health and survival in old age, but mainly through mechanisms acting earlier in the lifecourse. [ABSTRACT FROM PUBLISHER]

Abstract: Recent studies indicate that socioeconomic inequalities in health extend into the elderly population, even within the most highly developed welfare states. One potential explanation for socioeconomic inequalities in health focuses on the role of health behaviors, but little is known about the degree to which health behaviors account for health inequalities among older adults, in particular. Using data from the Health and Retirement Study (N = 19,245), this study examined the degree to which four behavioral risk factors – smoking, obesity, physical inactivity, and heavy drinking – are associated with socioeconomic position among adults aged 51 and older, and whether these behaviors mediate socioeconomic differences in mortality, and the onset of disability among those who were disability-free at baseline, over a 10-year period from 1998 to 2008. Results indicate that the odds of both smoking and physical inactivity are higher among persons with lower wealth, with similar stratification in obesity, but primarily among women. The odds of heavy drinking decrease at lower levels of wealth. Significant socioeconomic inequalities in mortality and disability onset are apparent among older men and women; however, the role that health behaviors play in accounting for these inequalities differs by age and gender. For example, these health behaviors account for between 23 and 45% of the mortality disparities among men and middle aged women, but only about 5% of the disparities found among women over 65 years. Meanwhile, these health behaviors appear to account for about 33% of the disparities in disability onset found among women survivors, and about 9–14% among men survivors. These findings suggest that within the U.S. elderly population, behavioral risks such as smoking and physical inactivity contribute moderately to maintaining socioeconomic inequalities in health. As such, promoting healthier lifestyles among the socioeconomically disadvantaged older adults should help to reduce later life health inequalities. [Copyright &y& Elsevier]