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Family formation in the United States has changed dramatically: marriage has become less common, nonmarital cohabitation has become more common, and racial and economic inequalities in these experiences have increased. We provide insights into recent U.S. trends by presenting cohort estimates for people born between 1970 and 1997, who began forming unions between 1985 and 2015. Using Panel Study of Income Dynamics data, we find that typical ages at marriage and union formation increased faster across these recent cohorts than across cohorts born between 1940 and 1969. As fewer people married at young ages, more cohabited, but the substitution was incomplete. We project steep declines in the probability of ever marrying, declines that are larger among Black people than White people. We provide novel information on the intergenerational nature of family inequalities by measuring parental income, wealth, education, and occupational prestige. Marriage declines are particularly steep among people from low-income backgrounds. Black people are overrepresented in this low-income group because of discrimination and opportunity denial. However, marriage declines are larger among Black people than White people across parental incomes. Further, most racial differences in marriage occur among people from similar socioeconomic backgrounds. Family inequalities increasingly reflect both economic inequalities and broader racial inequalities generated by racist structures; in turn, family inequalities may prolong these other inequalities across generations.

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Findings suggest that although ethnicity may account for gender differences in the content of social activity participation, it does not explain gender differences in the association between social participation and mortality. More consideration should be given to whether each activity provides an appropriate milieu for the social interaction of each gender.

Background and Objectives Internet use is increasingly a necessity. However, older adults may not use the internet due to either non-health reasons (e.g., lack of digital literacy or internet access) or health-related reasons (e.g., visual impairment or movement difficulties). While researchers have studied internet use among older adults, most do not discriminate whether non-use is due to health-related reasons or otherwise. We therefore examine the key correlates of health-related difficulty in internet use among older adults, and how it may affect quality of life (QoL) through their perceived social support networks. Research Design and Methods Data were from a national survey of older Singaporeans (N=3966) conducted in 2016-17. Multinomial logistic regression and mediation analysis were used to identify older adult subgroups more likely to experience health-related difficulty in internet use, and whether such difficulty affected older adults’ QoL through their social support networks. Results Those of male gender, of Malay ethnicity, with less education, and with more instrumental activity of daily living limitations were more likely to experience health-related difficulty in internet use. Social support networks mediated the relationship between health-related difficulty in internet use and QoL. Discussion and Implications Disparities in internet use are not just shaped by access or skill, but also health. Health-related difficulties in internet use are related to older adults’ social support networks and quality of life. As social connections become increasingly based around networked individuals due to technological advancements, more attention should be given to addressing these health-related difficulties.

Abstract Long-term exposures to the stress and stimulation of different work, parenting, and partnership combinations might influence later life cognition. We investigated the relationship between women’s work-family life histories and cognitive functioning in later life. Analyses were based on data from women born between 1930 and 1957 in 14 European countries, from the Survey of Health, Ageing and Retirement in Europe (2004–2009) (n = 11,908). Multichannel sequence analysis identified 5 distinct work-family typologies based on women’s work, partnership, and childrearing statuses between ages 12 and 50 years. Multilevel regressions were used to test the association between work-family histories and later-life cognition. Partnered mothers who mainly worked part-time had the best cognitive function in later life, scoring approximately 0.63 (95% confidence interval (CI): 0.18, 1.07) points higher than mothers who worked full-time on a 19-point scale. Partnered mothers who were mainly unpaid caregivers or who did other unpaid activities had cognitive scores that were 1.19 (95% CI: 0.49, 1.89) and 0.93 (95% CI: 0.20, 1.66) points lower than full-time working mothers. The findings are robust to adjustment for childhood advantage and educational credentials. This study provides new evidence that long-term exposures to certain social role combinations after childhood and schooling are linked to later-life cognition.

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