Failure to Meet Generative Self-Expectations is Linked to Poorer Cognitive–Affective Well-Being

Objectives Generativity, or concern with contributing to others, is theorized to be an important goal of mid-to-late life. Greater self-perceptions of generativity are associated with better well-being over time. The aim of this study is to examine how generative self-perceptions and failure to meet generative expectations over time are linked to specific cognitive–affective states (feelings of connectedness, self-worth, and positive affect), and consequently, life satisfaction. Method Analyses used data from Waves 2 and 3 of the National Survey of Midlife Development in the United States (MIDUS). Multiple mediation was utilized to assess whether these cognitive–affective states linked generative failure to decreased life satisfaction. A Johnson–Neyman moderation analysis determined whether these associations vary with age. Results In demographically adjusted regressions, generative contributions and expectations were associated with greater perceived social connectedness, self-worth, and positive effect. Generative failure was associated with lower life satisfaction, a link that was strongest in the middle-aged and young-old and mediated by the cognitive–affective states. Discussion Greater feelings of generativity, and more positive expectations for future contributions, are associated cross-sectionally and over time with better affective well-being. Positive affect, social connectedness, and self-worth may partially explain why generative failure over time is linked to decreased life satisfaction

Neighborhood Cohesion, Neighborhood Disorder, and Cardiometabolic Risk

Perceptions of neighborhood disorder (trash, vandalism) and cohesion (neighbors trust one another) are related to residents’ health. Affective and behavioral factors have been identified, but often in studies using geographically select samples. We use a nationally representative sample (n = 9032) of United States older adults from the Health and Retirement Study to examine cardiometabolic risk in relation to perceptions of neighborhood cohesion and disorder. Lower cohesion is significantly related to greater cardiometabolic risk in 2006/2008 and predicts greater risk four years later (2010/2012). The longitudinal relation is partially accounted for by anxiety and physical activity

Can I Buy My Health? A Genetically Informed Study of Socioeconomic Status and Health

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

Neighborhood Socioeconomic Status and Health: A Longitudinal Analysis

Higher income neighborhoods are associated with better health, a relation observed in many cross-sectional studies. However, prior research focused on the prevalence of health conditions, and examining the incidence of new health conditions may provide stronger support for a potential causal role of neighborhoods on health. We used the 2004 and 2014 waves of the Midlife in the United States Study (n = 1726; ages 34–83) to examine health condition incidence as a function of neighborhood income. Among participants who had lived in the same neighborhood across the time period, we hypothesized that higher neighborhood income would be associated with a lower incidence of health conditions ten years later. Health included 18 chronic conditions related to mental (anxiety, depression) and physical (cardiovascular, immune) health. Multinomial logistic regression analyses adjusting for individual income and sociodemographics indicated that the odds of developing two or more new health conditions (no new health conditions as referent), was significantly lower (OR = 0.92, CI: 0.86, 0.99) for every $10,000 increment in neighborhood income. Associations did not vary by age or neighborhood tenure. Results add to a literature documenting that higher neighborhood income is associated with better health

Association Between Socioeconomic Status Mobility and Inflammation Markers Among White and Black Adults in the United States: A Latent Class Analysis

Objective This paper examines whether multidimensional indicators of objective and subjective socioeconomic status (SES) across the life course can be categorized into latent classes of SES mobility and tests the associations of these categories with inflammation markers among White and Black adults. Methods Data are from 592 non-Hispanic White and 158 non-Hispanic Black participants who completed both the baseline survey and biomarkers assessment of the Midlife in the United States (MIDUS) Refresher study. Groups of different SES mobility were examined using latent class analysis. Results White and Black participants showed different patterns of SES mobility. Among Blacks, the latent classes were: 1) Objectively Always High (24.71%; high objective SES across the life course), 2) Subjectively Always High (6.48%; high subjective and low objective SES across the life course), 3) Downwardly Mobile (35.84%; high childhood SES, low adult SES, and 4) Always Low (32.97%; low childhood SES, education, and adult SES). Among Whites, the latent classes were: 1) Always High (52.17%; high childhood SES, high education, high adult SES), 2) Upwardly Mobile (18.14%; low childhood SES, high education, high adult SES), 3) Subjectively Downward (27.74%; high childhood SES, high education, high objective adult SES, low subjective adult SES), and 4) Always Low (1.95%; low childhood SES, education, and adult SES). SES mobility was associated with inflammation in White (Wald χ2’s [3] = 12.89-17.44, p \u3c .050), but not in Black adults (Wald χ2’s [3] = 2.79-7.22, p \u3e .050). Conclusion The lack of SES mobility differentiation on inflammation is an indication of diminished return for the most affluent class among Black participants

Neighborhood Features and Physiological Risk: An Examination of Allostatic Load

Poor neighborhoods may represent a situation of chronic stress, and may therefore be associated with health-related correlates of stress. We examined whether lower neighborhood income would relate to higher allostatic load, or physiological well-being, through psychological, affective, and behavioral pathways. Using data from the Biomarker Project of the Midlife in the United States (MIDUS) study and the 2000 Census, we demonstrated that people living in lower income neighborhoods have higher allostatic load net of individual income. Moreover, findings indicate that this relation is partially accounted for by anxious arousal symptoms, fast food consumption, smoking, and exercise habits

Advancing Research on Psychological Stress and Aging with the Health and Retirement Study: Looking Back to Launch the Field Forward

Objectives The Health and Retirement Study (HRS) was designed as an interdisciplinary study with a strong focus on health, retirement, and socioeconomic environment, to study their dynamic relationships over time in a sample of mid-life adults. The study includes validated self-report measures and individual items that capture the experiences of stressful events (stressor exposures) and subjective assessments of stress (perceived stress) within specific life domains. Methods This paper reviews and catalogs the peer-reviewed publications that have used the HRS to examine associations between psychological stress measures and psychological, physical health, and economic outcomes. Results We describe the research to date utilizing HRS measures of the following stress types: traumatic and life events, childhood adversity, caregiving and other chronic stressors, discrimination, social strain and loneliness, work stress, and neighborhood disorder. We highlight how to take further advantage of the longitudinal study to test complex biopsychosocial models of healthy aging. Discussion The HRS provides one of the most comprehensive assessments of psychosocial stress in existing population-based studies and offers the potential for a deeper understanding of how psychosocial factors are related to healthy aging trajectories. The next generation of research examining stress and trajectories of aging in the HRS should test complex longitudinal and mediational relationships, include contextual factors in analyses, and include more collaboration between psychologists and population health researchers

Nature, Nurture, and the Meaning of Educational Attainment: Differences by Sex and Socioeconomic Status

Estimated heritability of educational attainment (EA) varies widely, from 23% to 80%, with growing evidence suggesting the degree to which genetic variation contributes to individual differences in EA is highly dependent upon situational factors. We aimed to decompose EA into influences attributable to genetic propensity and to environmental context and their interplay, while considering influences of rearing household economic status (HES) and sex. We use the Project Talent Twin and Sibling Study, drawn from the population-representative cohort of high school students assessed in 1960 and followed through 2014, to ages 68−72. Data from 3552 twins and siblings from 1741 families were analyzed using multilevel regression and multiple group structural equation models. Individuals from less-advantaged backgrounds had lower EA and less variation. Genetic variance accounted for 51% of the total variance, but within women and men, 40% and 58% of the total variance respectively. Men had stable genetic variance on EA across all HES strata, whereas high HES women showed the same level of genetic influence as men, and lower HES women had constrained genetic influence on EA. Unexpectedly, middle HES women showed the largest constraints in genetic influence on EA. Shared family environment appears to make an outsized contribution to greater variability for women in this middle stratum and whether they pursue more EA. Implications are that without considering early life opportunity, genetic studies on education may mischaracterize sex differences because education reflects different degrees of genetic and environmental influences for women and men

The Project Talent Twin and Sibling Study: Zygosity and New Data Collection

The Project Talent Twin and Sibling (PTTS) study includes 4481 multiples and their 522 nontwin siblings from 2233 families. The sample was drawn from Project Talent, a U.S. national longitudinal study of 377,000 individuals born 1942–1946, first assessed in 1960 and representative of U.S. students in secondary school (Grades 9–12). In addition to the twins and triplets, the 1960 dataset includes 84,000 siblings from 40,000 other families. This design is both genetically informative and unique in facilitating separation of the ‘common’ environment into three sources of variation: shared by all siblings within a family, specific to twin-pairs, and associated with school/community-level factors. We term this the GIFTS model for genetics, individual, family, twin, and school sources of variance. In our article published in a previous Twin Research and Human Genetics special issue, we described data collections conducted with the full Project Talent sample during 1960–1974, methods for the recent linking of siblings within families, identification of twins, and the design of a 54-year follow-up of the PTTS sample, when participants were 68–72 years old. In the current article, we summarize participation and data available from this 2014 collection, describe our method for assigning zygosity using survey responses and yearbook photographs, illustrate the GIFTS model applied to 1960 vocabulary scores from more than 80,000 adolescent twins, siblings and schoolmates and summarize the next wave of PTTS data collection being conducted as part of the larger Project Talent Aging Study

Perceived Neighborhood Cohesion Buffers COVID-19 Impacts on Mental Health in a United States Sample

Objective This study examined whether perceived neighborhood cohesion (the extent to which neighbors trust and count on one another) buffers against the mental health effects of the 2020 COVID-19 pandemic. Methods The XXX University National COVID-19 and Mental Health Study surveyed US adults (N = 3965; M age = 39 years), measuring depressive symptoms, staying home more during than before the 2020 pandemic, and perceived neighborhood cohesion. Results A series of linear regressions indicated that perceiving one\u27s neighborhood as more cohesive was not only associated with fewer depressive symptoms, but also attenuated the relationship between spending more time at home during the pandemic and depressive symptoms. These relationships persisted even after taking into account several individual-level sociodemographic characteristics as well as multiple contextual features, i.e., median household income, population density, and racial/ethnic diversity of the zip codes in which participants resided. Conclusions Neighborhood cohesion may be leveraged to mitigate pandemic impacts on depressive symptoms