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 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 correspond 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.
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.
ObjectiveThis 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.MethodsCDC 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.ResultsResults 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 R2 = 0.37) and net of the covariates (adjusted R2 = 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.DiscussionFindings suggest that efficacious health equity solutions will require bold policies that dismantle structural racism across numerous societal domains.
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.
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.
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