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We examined whether attained socioeconomic status (SES) moderated genetic and environmental sources of individual differences in cognitive performance using pooled data from 9 adult twin studies. Prior work concerning SES moderation of cognitive performance has focused on rearing SES. The current adult sample of 12,196 individuals (aged 27-98 years) allowed for the examination of common sources of individual differences between attained SES and cognitive performance (signaling potential gene-environment correlation mechanisms, rGE), as well as sources of individual differences unique to cognitive performance (signaling potential gene-environment interaction mechanisms, G × E). Attained SES moderated sources of individual differences in 4 cognitive domains, assessed via performance on 5 cognitive tests ranging 2,149 to 8,722 participants. Attained SES moderated common sources of influences for 3 domains and influences unique to cognition in all 4 domains. The net effect was that genetic influences on the common pathway tended to be relatively more important at the upper end of attained SES indicating possible active rGE, whereas, genetic influences for the unique pathway were proportionally stable or less important at the upper end of attained SES. As a noted exception, at the upper end of attained SES, genetic influences unique to perceptual speed were amplified and genetic influences on the common pathway were dampened. Accounting for rearing SES did not alter attained SES moderation effects on cognitive performance, suggesting mechanisms germane to adulthood. Our findings suggest the importance of gene--environment mechanisms through which attained SES moderates sources of individual differences in cognitive performance.

Background: A large literature demonstrates associations between socioeconomic status (SES) and health, including physiological health and well-being. Moreover, gender differences are often observed among measures of both SES and health. However, relationships between SES and health are sometimes questioned given the lack of true experiments, and the potential biological and SES mechanisms explaining gender differences in health are rarely examined simultaneously.Purpose: To use a national sample of twins to investigate lifetime socioeconomic adversity and a measure of physiological dysregulation separately by sex.Methods: Using the twin sample in the second wave of the Midlife in the United States survey (MIDUS II), biometric regression analysis was conducted to determine whether the established SES-physiological health association is observed among twins both before and after adjusting for potential familial-level confounds (additive genetic and shared environmental influences that may underly the SES-health link), and whether this association differs among men and women.Results: Although individuals with less socioeconomic adversity over the lifespan exhibited less physiological dysregulation among this sample of twins, this association only persisted among male twins after adjusting for familial influences.Conclusions: Findings from the present study suggest that, particularly for men, links between socioeconomic adversity and health are not spurious or better explained by additive genetic or early shared environmental influences. Furthermore, gender-specific role demands may create differential associations between SES and health. [ABSTRACT FROM AUTHOR]

Numerous studies have found interactions between socioeconomic status (SES) and the heritability of cognitive ability in samples from the United States, with individuals from lower SES backgrounds showing decreased heritability compared to those reared in higher SES environments. However, nearly all published studies of the Scarr-Rowe interaction have been univariate and cross-sectional. In this study, we sought to maximize statistical power by fitting multivariate models of gene (G) x SES interaction, including longitudinal models. Cognitive ability data collected at up to five time points between ages 7 and 15 years were available for 566 twin pairs from the Louisville Twin Study. We used multilevel and latent factor models to pool intelligence subtest scores cross-sectionally. To examine interactions longitudinally, we fit latent growth curve models to IQ scores. Power analysis results indicated that the multivariate approach substantially boosted power to detect G x SES interaction. The predicted interaction effect was observed at most ages in cross-sectional multivariate analyses. In longitudinal analyses, we found significant G x SES interactions on mean-level (intercept) full scale IQ and performance IQ (p s <.001), but not verbal IQ intercept (p =.08). SES did not significantly moderate the heritability of change in IQ over time (slope). Interaction appeared to be driven by DZ twin correlations decreasing more substantially as a function of higher SES than MZ correlations. • G x SES interaction on intelligence is found across mid-childhood/early adolescence. • The interaction appears to be driven by divergence in DZ twins. • Multivariate methods boost power to detect G x SES interaction. [ABSTRACT FROM AUTHOR]

Increased longevity means that older adults have more opportunities to have age-integrated social networks, which include both same-aged peers and intergenerational social ties. Compared to those with peer-only, or intergenerational-only social networks, those with age-integrated networks may experience greater psychosocial benefits due to the age-diverse nature of their social networks. Data from the National Health and Aging Trends Study was used to examine age integration status associations with well-being and social engagement in a nationally representative sample of Medicare beneficiaries in the United States. We hypothesized that age-integrated older adults have greater well-being and social engagement than older adults with peer-only or intergenerational-only networks. Weighted ordinary least squares regression analyses were conducted to test associations of well-being and social engagement with age integration status, controlling for sociodemographic and health covariates. Older adults with age-integrated social networks did not differ in well-being from those with peer-only or intergenerational-only networks, although they had greater social engagement than those with intergenerational-only networks.

As the spread of COVID-19 has led to global efforts to social distance, concerns about the negative psychological effects of social isolation and loneliness have grown. The purpose of this commentary is to draw attention to 2 populations across the life span at risk for the psychological sequelae of social isolation and loneliness: young adults and old-old adults. We present data from three population-based longitudinal studies from two nations (United States and Sweden) to support this view. We then provide recommendations for the prevention of loneliness during social distancing as well as after social distancing measures are eased through implementation of programs that match young adults with older adults to foster intergenerational connection and group-based psychotherapy. (PsycInfo Database Record (c) 2020 APA, all rights reserved).