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Deleterious neighborhood conditions are associated with poor health, yet the health impact of cumulative lifetime exposure to neighborhood disadvantage is understudied. Using up to five decades of residential histories for 4,177 adult participants in the Survey of Health of Wisconsin (SHOW) and spatio-temporally linked neighborhood conditions, we develop four operational approaches to characterizing cumulative neighborhood (dis)advantage over the life course. We estimated their associations with self-reported general health and compared to estimates using neighborhood (dis)advantage at time of study enrollment. When cumulative exposures were assessed with the most granular temporal scale (Approach 4), neighborhood transport constraints (OR = 1.21, 95% CI: 1.08, 1.36), residential turnover (OR = 1.20, 95% CI: 1.07, 1.34), education deficit (OR = 1.17, 95% CI: 1.04, 1.32), racial segregation (OR = 1.20, 95% CI: 1.04, 1.38) and median household income (OR = 0.85, 95% CI: 0.75, 0.97) were significantly associated with risk of fair or poor health. For composite neighborhood disadvantage, cumulative exposures had a stronger association (OR = 1.05, 95% CI: 1.02, 1.08) than the cross-sectional exposure (OR = 1.03, 95% CI: 1.01, 1.06). Single point-in-time neighborhood measures underestimate the neighborhood and health relationship, underscoring the importance of a life course approach to cumulative exposure measurement., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Life course theories suggest that the relationship between residential (dis)advantage and health is best understood by examining the ordering and duration of cumulative exposures across the life course. This study employs sequence and cluster analysis on two decades of residential histories linked to the Survey of the Health of Wisconsin to define typologies of exposure to residential (dis)advantage and use these typologies to predict self-rated fair/poor health. Exposure to residential (dis)advantage is mostly stable across the adult life course and greater disadvantage predicts fair/poor health. Longitudinal exposures to residential (dis)advantage shape health independently of and in tandem with individual-level resources., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The life course perspective and cumulative inequality theory suggest that childhood adversity, occurring during a sensitive period of the life course, can have long-term consequences for adult mental health and well-being. Yet, the long-term influence of adversity on adult outcomes may depend on both the features of adverse childhood experiences (e.g., the number, type, and co-occurrence of adversities) as well as the outcome assessed. Using latent class analysis applied to several waves of prospective data from the Great Smoky Mountain Study (GSMS; N=1,420) we identify subpopulations that are similar in their adversity experiences before age 18. We then predict adult internalizing and substance use disorder diagnoses by adversity experience. Results reveal five distinct classes of adversity, with unique risks for specific diagnoses in adulthood.

Research on neighborhoods and health typically measures neighborhood context at a single point in time. However, neighborhood exposures accumulate over the life course, influenced by both residential mobility and neighborhood change, with potential implications for estimating the impact of neighborhoods on health. Commercial databases offer fine-grained longitudinal residential address data that can enrich life-course spatial epidemiology research, and validated methods for reconstructing residential histories from these databases are needed. Our study draws on unique data from a geographically diverse, population-based representative sample of adult Wisconsin residents and the LexisNexis (New York, New York) Accurint, a commercial personal profile database, to develop a systematic and reliable methodology for constructing individual residential histories. Our analysis demonstrated that creating residential histories across diverse geographical contexts is feasible, and it highlights differences in the information obtained from available residential histories by age, education, race/ethnicity, and rural/urban/suburban residency. Researchers should consider potential address data availability and information biases favoring socioeconomically advantaged individuals and their implications for studying health inequalities. Despite these limitations, LexisNexis data can generate varied residential exposure metrics and be linked to contextual data to enrich research into the contextual determinants of health at varied geographic scales., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Background: Mild traumatic brain injury (mTBI) is a common cause for seeking care. Previous studies have shown considerable variations in TBI management. New guidelines may have influenced management routines., Methods: This is a descriptive cross-sectional study, collecting data through structured questionnaires. All Swedish emergency hospitals that manage and treat adult patients with mTBI (Reaction Level Scale [RLS] 1-3, Glasgow Coma Scale [GCS] 13-15, age > 18 years) for the initial 24 h after injury were included in this study., Results: The response rate among hospitals fulfilling the study criteria's was 61/67 (91%). We observed a distinct predominance of nonspecialists being responsible for the initial management of these patients, with general surgeons and ED-physicians being the dominating specialties. A total of 45/61 (74%) of the hospitals use a guideline when managing TBI, with 12 hospitals (20%) stating that no guideline was used., Conclusion: In general, established guidelines are used for the management of TBI in Sweden. However, some of these are outdated and several hospitals used local guidelines not based upon reliable evidence-based methodology. Most patients with TBI are managed by nonspecialist doctors, stressing the need of a reliable guideline., Competing Interests: The authors declare no conflict of interest., (© 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.)

Health status may shape network structure through network dynamics (tie formation and persistence) and direction (sent and received ties), net of typical network processes. We apply Separable Temporal Exponential Random Graph Models (STERGMs) to National Longitudinal Study of Adolescent to Adult Health survey data (n = 1,779) to differentiate how health status shapes network sent and received tie formation and persistence. Results indicate that networks are shaped by withdrawal of adolescents experiencing poor health, highlighting the importance of separating distinct and directed processes of friendship formation and persistence when considering how health relates to adolescent social life.

Both adolescent peer networks and adult role attainment affect mental health in adulthood. However, whether adult roles mediate associations between adolescent networks and adult mental health is unclear. Using path analysis with survey data from the National Longitudinal Study of Adolescent to Adult Health (N = 8543) in the United States, we examine the direct impact of adolescent (grades 7-12) popularity (received ties) and sociality (sent ties) among school peers on adult (ages 33-43) depressive symptoms, and we assess mediation pathways through four key adult roles: marriage, employment, education, and residential independence. We then examine whether pathways differ across men and women. Results indicate that adolescent popularity, or how others view an adolescent's position in the peer network, benefits adult mental health through the attainment of marriage, employment, and education. Residential independence is a significant mediator for popularity in models for men. Sociality, or how an adolescent views their own position in the peer network, relates to adult depressive symptoms through the attainment of a college degree for women and marriage for men. Sociality also directly predicts lower depressive levels, independent of adult role attainment, in models for women. Overall, results indicate gendered pathways for how adolescent networks relate to mental health decades later through adult roles., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Objective: This study contributes to the literature by empirically testing the extent to which place-based structural racism is a driver of state-level racial inequalities in COVID-19 mortality using theoretically-informed, innovative approaches., Methods: CDC data are used to measure cumulative COVID-19 death rates between January 2020 and August 2022. The outcome measure is a state-level Black-White (B/W) ratio of age-adjusted death rates. We use state-level 2019 administrative data on previously validated indicators of structural racism spanning educational, economic, political, criminal-legal and housing to identify a novel, multi-sectoral latent measure of structural racism (CFI = 0.982, TLI = 0.968, and RMSEA = 0.044). We map B/W inequalities in COVID-19 mortality as well as the latent measure of structural racism in order to understand their geographic distribution across U.S. states. Finally, we use regression analyses to estimate the extent to which structural racism contributes to Black-White inequalities in COVID-19 mortality, net of potential confounders., Results: Results reveal substantial state-level variation in the B/W ratio of COVID-19 death rates and structural racism. Notably, regression estimates indicate that the relationship between the structural racism and B/W inequality in COVID-19 mortality is positive and statistically significant ( p < 0.001), both in the bivariate model (adjusted R 2 = 0.37) and net of the covariates (adjusted R 2 = 0.54). For example, whereas states with a structural racism value 2 standard deviation below the mean have a B/W ratio of approximately 1.12, states with a structural racism value 2 standard deviation above the mean have a ratio of just above 2.0., Discussion: Findings suggest that efficacious health equity solutions will require bold policies that dismantle structural racism across numerous societal domains., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Brown, Kamis and Homan.)

Objectives: We draw from the life course and stress process frameworks to examine how experiencing disability in early life influences mental health in adulthood., Methods: Data come from the Health and Retirement Study Cross-Wave Childhood Health and Family Aggregated Data file (2008-2018, n = 15,289). Childhood disability status is a retrospective self-report of whether respondents were disabled for six months or more because of a health problem before the age of 16 ( n = 581). We used age-based growth curve models to construct trajectories of depressive symptoms by childhood disability status., Results: Respondents who experienced childhood disability exhibit more depressive symptoms at age 50 compared to those who did not experience this stressor. However, there is no difference in the growth of depressive symptoms with age between these groups, suggesting maintained inequality over the late adulthood life course., Discussion: Findings suggest that childhood disability has long-term implications for life course mental health.

Adolescence is a developmental period when peer network structure is associated with mental health. However, how networks relate to distress for youth at different intersecting racial/ethnic and gender identities is unclear. Using National Longitudinal Study of Adolescent to Adult Health survey data, cross-sectional models examine peer network cohesion predicting adolescent depressive levels for racial/ethnic and gender groups. The analytic sample is N = 13,055, average age 15.3 years, 50.2% female, 68.8 % White, 17.2% Black, 9.7% Hispanic, and 4.2% Asian. The results indicate that average cohesion, depressive levels, and cohesion associated with depressive levels differ by race/ethnicity and gender, with the greatest benefits for White and Black girls. This work clarifies patterns of adolescent networks and mental health by race/ethnicity and gender., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Traditional theories of grief suggest that individuals experience short-term increases in depressive symptoms following the death of a parent. However, growing evidence indicates that effects of parental bereavement may persist. Situating the short- and long-term effects of parental death within the life course perspective, we assess the combined influence of time since loss and life course stage at bereavement on mental health for maternal and paternal death. Using data from the National Longitudinal Study of Adolescent to Adult Health (N = 11,877) to examine biological parental death from childhood to mid-adulthood, we find that those who experience recent maternal or paternal death have heightened depressive symptoms. Furthermore, those who experience maternal death in childhood or paternal death in young adulthood exhibit long-term consequences for mental health. Our findings underscore the theoretical importance of early life course stages and parent's gender when determining whether depressive symptoms persist following parental bereavement.

A growing line of research underscores that sociodemographic factors may contribute to disparities in the impact of COVID-19. Further, stages of disease theory suggests that disparities may grow as the pandemic unfolds and more advantaged areas are better able to apply growing knowledge and mitigation strategies. In this paper, we focus on the role of county-level household overcrowding on disparities in COVID-19 mortality in U.S. counties. We examine this relationship across three theoretically important periods of the pandemic from April-October 2020, that mark both separate stages of community knowledge and national mortality levels. We find evidence that the percentage of overcrowded households is a stronger predictor of COVID-19 mortality during later periods of the pandemic. Moreover, despite a relationship between overcrowding and poverty at the county-level, overcrowding plays an independent role in predicting COVID-19 mortality. Our findings underscore that areas disadvantaged by overcrowding may be more vulnerable to the effects of COVID-19 and that this vulnerability may lead to changing disparities over time., (© 2021 The Authors. Published by Elsevier Ltd.)

Using six waves of data from the Panel Study of Income Dynamics (2007-2017) and the Childhood Retrospective Circumstances Study (2014) (n=3,240), this paper estimates how childhood experiences with parental mental health problems shape trajectories of children's own distress in adulthood. Findings indicate that those who experience poor parental mental health have consistently greater distress than their non-exposed counterparts throughout adulthood. More severe and longer exposures to parental mental health problems corresponds to even greater distress in adulthood. The gender of the parent afflicted does not predict differences in adult mental health, but those individuals exposed to both maternal and paternal poor mental health have the greatest distress in adulthood. Together, results suggest that parental mental health during children's formative years is a significant predictor of life course distress and that heterogeneity in this experience corresponds to unique mental health trajectories.

Peer connections in adolescence shape mental health in ways that differ by gender. However, it is unclear whether this association has an enduring impact on life course mental health. Using growth models with survey data from the National Longitudinal Study of Adolescent to Adult Health (Add Health Waves I-IV, N = 13,821, 51% white, 49% male), we examine how two dimensions of social integration during adolescence-popularity and sociality-predict depressive symptom trajectories from adolescence to adulthood (ages 12-32) by gender. We find that for both men and women, low sociality predicts higher depressive levels through adolescence into adulthood. For women, higher popularity predicts greater depressive symptoms in adolescence, followed by a steeper decline to lower levels in early adulthood. Overall, this study suggests that social integration among peers in adolescence has long-term consequences for mental health that vary by gender.

Immigration is central to our understanding of U.S. racial and ethnic health disparities, yet relatively little is known about the health of white immigrants - a group whose ethnic origins have become increasingly diverse. To the extent that whites are included in social stratification research, they are typically used as the reference category for gauging health inequities, with little attention to diversity among them. This study addresses this question using nationally representative data from the American Community Survey (2008-2017). We disaggregate non-Hispanic whites by nativity, region of birth, and period of arrival in the U.S. and examine differences in physical disability among adults aged 40 and older (n = 12, 075, 638). The analysis finds that foreign-born whites have a slightly lower prevalence of disability than U.S.-born whites, and this varies by arrival cohort. Immigrants who arrived in the 1981-1990 and 1991-2000 cohorts have a smaller advantage over U.S.-born whites than immigrants in the earlier and later cohorts. Compositional changes in the region of birth of white immigrants, especially the influx of eastern Europeans and Middle Easterners during the 1980s and 1990s, explained this variation. These findings challenge the oft-assumed notion that whites are a monolithic group and highlight growing intra-ethnic heterogeneity that is obscured by the aggregate category. Our findings also suggest that the standard practice of using whites as the reference for benchmarking health inequities may mask health inequities not only among them, but also between whites and other racial and ethnic populations., (Copyright © 2019 Elsevier Ltd. All rights reserved.)