Estimating the causal effects of income on health: how researchers' definitions of "income" matter.

BACKGROUND: There is a well-established cross-sectional association between income and health, but estimates of the causal effects of income vary substantially. Different definitions of income may lead to substantially different empirical results, yet research is often framed as investigating "the effect of income" as if it were a single, easily definable construct. METHODS/RESULTS: The aim of this paper is to introduce a taxonomy for definitional and conceptual issues in studying individual- or household-level income for health research. We focus on (1) the definition of the income measure (earned and unearned; net, gross, and disposable; real and nominal; individual and household; relative and absolute income) and (2) the definition of the causal contrast (amount, functional form assumptions/transformations, direction, duration of change, and timing of exposure and follow-up). We illustrate the application of the taxonomy to four examples from the published literature. CONCLUSIONS: Quantified estimates of causal effects of income on health and wellbeing have crucial relevance for policymakers to anticipate the consequences of policies targeting the social determinants of health. However, much prior evidence has been limited by lack of clarity in distinguishing between different causal questions. The present framework can help researchers explicitly and precisely articulate income-related exposures and causal questions.

Individual and regional differences in the effects of school racial segregation on Black students' health.

Background: School racial segregation in the US has risen steadily since the 1990s, propelled by Supreme Court decisions rolling back the legacy of Brown v. Board. Quasi-experimental research has shown this resegregation harms Black students' health. However, whether individual or family characteristics (e.g., higher family incomes) are protective against segregation's health harms-or whether segregation is more damaging in regions of the US with fewer public sector investments-remains unclear. We leverage the quasi-random timing of school districts being released from Brown-era integration plans to examine heterogeneity in the association between resegregation and Black students' health. Methods & findings: We took an instrumental variables approach, using the timing of integration order releases as an instrument for school segregation and analyzing a pre-specified list of theoretically-motivated modifiers in the Panel Study of Income Dynamics. In sensitivity analyses, we fit OLS models that directly adjusted for relevant covariates. Results suggest resegregation may have been particularly harmful in the South, where districts resegregated more quickly after order releases. We find little evidence that the effects of school segregation differed across family income, gender, or age. Conclusion: The end of court-ordered integration threatens the health of Black communities-especially in the US South. Modestly higher incomes do not appear protective against school segregation's harms. Research using larger samples and alternative measures of school segregation-e.g., between districts, instead of within districts-may further our understanding of segregation's health effects, especially in Northern states.

Regional Disparities in Hyperacute Treatment and Functional Outcomes after Acute Ischemic Stroke in Japan.

AIM: This study investigated the impact of rurality on acute ischemic stroke (AIS) outcomes, emphasizing the hyperacute phase, in which immediate care is crucial. METHODS: This retrospective cohort study analyzed data from a large Japanese hospital network covering AIS patients from 2013-2021, was analyzed. The focus was on patients admitted within 4.5 h of the onset, using the Rurality Index for Japan (RIJ) to categorize patients into rural or urban groups. This study examined treatment methods (intravenous thrombolysis [IVT] and mechanical thrombectomy [MT]) and functional outcomes measured using the modified Rankin Scale (mRS), where scores of 3-6 indicated poor outcomes. Multilevel logistic regression was used to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for poor outcomes baSed on rurality. The study also evaluated the population-attributable fraction (PAF) to estimate potential outcome improvements in urban settings. RESULTS: Of 27,691 patients, 17,516 were included in the total cohort and 4,954 in the hyperacute cohort. Urban patients constituted 73.7% (12,902), with higher IVT (5.2%) and MT (3.6%) rates than rural patients (4.1% IVT, 2.0% MT). Poor mRS outcomes were more common in rural areas than in urban areas, with adjusted ORs of 1.30 (1.18-1.43) in the total cohort and 1.43 (1.19-1.70) in the hyperacute cohort. The PAF for poor outcomes due to rural residency was 14.8% (0.5%-31.0%). CONCLUSION: This study demonstrated a notable association between rurality and poorer AIS outcomes in Japan, particularly in the hyperacute phase.

Social epidemiology of online dating in U.S. early adolescents.

OBJECTIVE: To investigate the prevalence and sociodemographic associations of online dating in a demographically diverse U.S. national cohort of early adolescents. METHODS: We analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 2, 2018-2020, ages 11-12; N = 10,157). Multivariable logistic regression analyses were employed to estimate associations between sociodemographic factors (e.g., age, sex, race/ethnicity, sexual orientation, household income, parental education) and early adolescent-reported online dating behaviors. RESULTS: Overall, 0.4% (n = 38) of participants reported ever using a dating app. Males (AOR 2.72, 95% CI 1.11-6.78) had higher odds of online dating compared to females, and sexual minority identification (e.g., lesbian, gay, or bisexual; AOR 12.97, 95% CI 4.32-38.96) was associated with greater odds of online dating compared to heterosexual identification. CONCLUSION: Given the occurrence of online dating among early adolescents despite age restrictions, interventions might address age misrepresentation. Adolescent sexual health education may consider incorporating anticipatory guidance on online dating, especially for males and sexual minorities. Future research could further investigate online dating patterns from early to late adolescence and associated health effects.

A Critique and Examination of the Polysocial Risk Score Approach: Predicting Cognition in the Health and Retirement Study.

Polysocial risk scores were recently proposed as a strategy to improve clinical relevance of knowledge about social determinants of health. The objective of this paper was to assess if the polysocial risk score model improves prediction of cognition and all-cause mortality in middle-aged and older adults beyond simpler models including a smaller set of key social determinants of health. We used a sample of 13,773 individuals aged 50+ at baseline from the 2006 to 2018 waves of the Health and Retirement Study, a US population-based longitudinal cohort. Four linear mixed models were compared: two simple models including a priori selected covariates and two polysocial risk score models which used LASSO regularization to select covariates among 9 or 21 candidate social predictors. All models included age. Predictive accuracy was assessed via R-squared and root mean-squared prediction error (RMSPE) using training/test split and cross-validation. For predicting cognition, the simple model including age, race, gender, and education had an R-squared of 0.31 and an RMSPE of 0.880. Compared with this, the most complex polysocial risk score selected 12 predictors (R-squared=0.35 and RMSPE=0.858; 2.2% improvement). For all-cause mortality, the simple model including age, race, gender, and education had an AUROC of 0.747, while the most complex polysocial risk score did not demonstrate improved performance (AUROC = 0.745). Models built on a smaller set of key social determinants performed comparably to models built on a more complex set of social "risk factors".

Unpacking Neighborhood Socioeconomic Status in Children's Health Research from an Environmental Justice Perspective: A Scoping Review.

PURPOSE OF REVIEW: Clearly defining and measuring neighborhood socioeconomic status (nSES) is a key first step in achieving environmental justice, as the disproportionate distribution of environmental hazards and access to resources is heavily influenced by socioeconomic factors. This scoping review explores the definition of neighborhoods, measurement of neighborhood socioeconomic status (nSES), and studies that evaluated the association between nSES and child health in accordance with PRISMA guidelines. RECENT FINDINGS: We identified 4112 articles published on US pediatric populations between 2013 and 2022. We identified 170 distinct indicators across seven broad domains of nSES used to create 121 different measures of nSES across the 206 publications included in this review. While there is considerable interest in nSES and children's health, there is also substantial variation in the measurement of neighborhood as a geographic unit and nSES as a construct. We observed methodological challenges related to the identification of neighborhood boundaries, indicator selection, and nSES measure definition(s). We discuss common pitfalls in neighborhood research that can complicate identifying, targeting, and resolving environmental injustices. Lastly, we put forward a series of recommendations to reduce measurement error and improve inference, in addition to reporting recommendations for neighborhoods and health research that can aid in improving our understanding of pathways between neighborhood context and child health, inform policy development, and allocate resources to achieve environmental justice.

Risk factors of suicide in prisons: a comprehensive retrospective cohort study in France, 2017-2020.

PURPOSE: Suicide is a leading cause of death in prison and the suicide rates are several times higher in the prison population than in the general population in most countries. Of the studies that have investigated risk factors for suicide in prison, few have controlled for possible confounding factors. The aim of this study is to identify risk factors of suicide among people in French prisons, over a four-year period. METHODS: All incarcerations that occurred in France during 2017-2020 were eligible. Sociodemographic, criminal and prison characteristics were collected for each incarceration from data of the National Prison Service. Survival univariate and multivariate analyses were performed with a Cox regression model. RESULTS: 358,522 incarcerations were included, of which 449 ended in suicide during the follow-up. The median length of prison stay was 5.1 months. The median age at prison entry was 30 years and 95.8% of incarcerations involved men. The overall suicide rate was 173 [157-189] per 100,000 person-years. Factors associated with suicide in the multivariate model (p < 0.05) were the early stage of incarceration and in particular the first week (HR = 7.6 [5.4-10.8]), violent offences and in particular homicide (HR = 3.0 [2.1-4.2]), French (HR = 1.7 [1.2-2.4]) and other European nationalities (HR = 2.1 [1.4-3.3]), age above 40 (HR = 2.0 [1.5-2.6]), pre-trial incarceration (HR = 1.8 [1.4-2.3]), being separated (HR = 1.6 [1.1-2.3] and having a high school diploma (HR = 1.4 [1.0-1.8]). CONCLUSIONS: Factors associated with suicide in prison are complex and involve individuals' criminal history as well as conditions of incarceration. These characteristics may be relevant to focus suicide prevention efforts.

Structural Racism-Related State Laws and Healthcare Access Among Black, Latine, and White U.S. Adults.

Racialized healthcare inequities in the USA remain glaring, yet root causes are understudied. To address this gap, we created a state-level structural racism legal index (SRLI) using the Structural Racism-Related State Law Database and analyzed its association with racialized inequities in four outcomes (lacking health insurance coverage, lacking a personal doctor, avoiding care due to cost, lacking a routine check-up) from the 2013 Behavioral Risk Factor Surveillance System (N = 454,834). To obtain predicted probabilities by SRLI quartiles (Q1 = less structural racism, Q4 = more structural racism) and racialized group, we fit survey-weighted multilevel logistic models adjusted for individual- and state-level covariates. We found substantial healthcare access inequities across racialized groups within SRLI quartiles and less pronounced, but still meaningful, inequities within racialized groups across SRLI quartiles. For example, the predicted probabilities of lacking health insurance coverage across SRLI quartiles ranged from 13 to 20% among Black adults, 31 to 41% among Latine adults, and 8 to 11% among White adults. Across racialized groups in Q4 states, predicted probabilities ranged from 11% among White adults to 41% among Latine adults. Similar patterns were observed for lacking a personal doctor and avoiding care due to cost. Findings underscore the need to address structural racism in laws and policies to mitigate these inequities.

Poverty and birth cohort effects of experiencing the 2007-2009 Great Recession during adolescence on major depressive episodes and mental health treatment of young adults in the United States.

PURPOSE: Household economic adversity during adolescence is hypothesized to be a risk factor for poor mental health later in life. To test this hypothesis, we conducted a quasi-experimental analysis of an economic shock, the Great Recession of 2007-2009. We tested if going through adolescence during the Great Recession was associated with increased risk of major depressive episodes (MDE) and mental health treatment in young adulthood with potential moderation by household poverty to explore differences by economic adversity. METHODS: We analyzed data on young adults age 18-29 years from the 2005-2019 National Survey on Drug Use and Health (N = 145,394). We compared participants who were adolescents during the recession to those followed-up prior to the recession. Regression analysis tested effect modification by household poverty status. RESULTS: Adolescent exposure to the Great Recession was associated with higher likelihood of MDE during young adulthood (aOR = 1.30, 95% CI = 1.23, 1.37); there was no relationship with mental health treatment. Effects on MDE were stronger among those in households with higher incomes compared to those living in poverty. CONCLUSION: Findings support the hypothesis that exposure to the Great Recession during adolescence may have increased risk for MDE, but raise questions about whether the mechanism of this association is economic distress.

De la epidemiología de la actividad física a la epidemiología crítica de las prácticas corporales: una propuesta desde Latinoamérica.

This essay aims to analyze the epidemiology of physical activity as a practical and epistemological field in dispute, based on the theoretical framework of international critical epidemiology. From this scientific point of view, the epidemiology of physical activity is radically marked by epistemological-health colonialism. This brand is expressed in the theoretical-practical distance from critical epidemiological thinking formulated in the global south, producing an artificial regional dependency and deep frustration in those who want to generate transformations in contemporary ways of living. It is suggested that a critical epidemiology of body practices is possible and necessary. In other words, the epidemiology developed in the countries of Latin America and the Caribbean can dialectically understand the determination, distribution and social reproduction of the phenomenon of bodily practices, since it resumes its critical formulations and intercultural science.

Income inequality and deaths of despair risk in Canada, identifying possible mechanisms.

BACKGROUND: Declines in life expectancy in developed countries have been attributed to increases in drug-related overdose, suicide, and liver cirrhosis, collectively referred to as deaths of despair. Income inequality is proposed to be partly responsible for increases in deaths of despair rates. This study investigated the associations between income inequality, deaths of despair risk in Canada, and potential mechanisms (stress, social cohesion, and access to health services). METHODS: We obtained data from the Canadian Community Health Survey and the Canadian Vital Statistics Database from 2007 to 2017. A total of 504,825 Canadians were included in the analyses. We used multilevel survival analyses, as measured by the Gini coefficient, to examine the relationships between income inequality and mortality attributed to drug overdose, suicide, death of despair, and all-cause. We then used multilevel path analyses to investigate whether each mediator (stress, social cohesion, and access to mental health professionals), which were investigated using separate mediation models, influenced the relationship between income inequality and drug overdose, suicide, deaths of despair, and all-cause death. RESULTS: Adjusted multilevel survival analyses demonstrated significant relationships between a one-SD increase in Gini coefficient was associated with an increased hazard for drug overdose (HRadj. = 1.28; 95 CI = 1.05, 1.55), suicide (HRadj. = 1.24; 95 CI = 1.06, 1.46), deaths of despair (HRadj. = 1.26; 95 CI = 1.12, 1.40), and all-cause death (HRadj. = 1.04; 95 CI = 1.02, 1.07). Adjusted path analyses indicated that stress, social cohesion, and access to mental health professionals significantly mediated the association between income inequality and mortality outcomes. CONCLUSION: Income inequality is associated with deaths of despair and this relationship is mediated by stress, social cohesion, and access to mental health professionals. Findings should be applied to develop programs to address income inequality in Canada.

Characteristics of and Variation in Suicide Mortality Related to Retirement During the Great Recession: Perspectives From the National Violent Death Reporting System.

BACKGROUND AND OBJECTIVES: Suicide rates typically increase during recessions. However, few studies have explored how recessions affect risk among older adults nearing retirement. This study used a large suicide mortality registry to characterize and quantify suicide related to retirement during the Great Recession (GR). RESEARCH DESIGN AND METHODS: Data come from the National Violent Death Reporting System (NVDRS, 2004-2017; N = 53,298 suicide deaths age ≥50). We analyzed the text narratives (i.e., descriptions of the most salient circumstances to each suicide) of these decedents using natural language processing (NLP) to identify cases that were "retirement-related" (RR, e.g., anticipating, being unable to, or recently retiring). We used time-series analysis to quantify variation in RR over the GR, and compared these trends to retirees (i.e., decedents whose occupation was "retired") and all decedents aged ≥50. We used content and network analysis to characterize themes represented in the narratives. RESULTS: There were 878 RR cases (1.6% of suicides aged ≥50) identified by the NLP model; only 52% of these cases were among retirees. RR cases were younger (62 vs 75 years) and more educated (41.5% vs 24.5% college degree) than retirees. The rate of RR suicide was positively associated with indicators of the GR (e.g., short-term unemployment R2 = 0.70, p = .024), but economic indicators were not correlated with the suicide rate among retirees or older adults in general. Economic issues were more central to the narratives of RR cases during the GR compared to other periods. DISCUSSION AND IMPLICATIONS: Recessions shape suicide risk related to retirement transitions.

Suicide following a conviction, solitary confinement, or transfer in people incarcerated: A comprehensive retrospective cohort study in France, 2017-2020.

INTRODUCTION: Suicide rates are higher in prison than in the general population in most countries. The proximity of some suicides to prison events has only received little attention in comparative studies. The aim of this study was to assess the relationship between suicide and four prison events: conviction, disciplinary solitary confinement, nondisciplinary solitary confinement and inter-prison transfer, in a national retrospective cohort study of people in prison. METHODS: All incarcerations in France that occurred during 2017-2020 were eligible. Data were collected from an administrative database of the National Prison Service. Survival bivariate and multivariate analyses were performed with a Cox regression model. RESULTS: Of 358,522 incarcerations were included, among which 469,348 events and 449 suicides occurred. In multivariate analysis, suicide risk was higher the first day of disciplinary solitary confinement (HR = 42.1 [21.5-82.7] and HR = 119.0 [71.5-197.9], before and after a government decree on the disciplinary system, respectively. It was higher within 2 weeks after a transfer (HR = 3.5 [2.3-5.2])) or entry in nondisciplinary solitary confinement (HR = 6.7 [3.4-13.3]) and lower within 2 weeks after a conviction (HR = 0.6 [0.4-1.0]). CONCLUSION: Solitary confinement and transfer were found to be precipitating factors of suicide in people who are incarcerated. These results offer interesting perspectives on prevention.

Comprehensive and Integrated Services in Specialty Mental Health Treatment Facilities in the US: Differences by the Racial/Ethnic Composition of the Facility's Clientele, 2020.

The integration of multiple ancillary services into mental health treatment settings may improve outcomes, but there are no national studies addressing whether comprehensive services are distributed equitably. We investigated whether the availability of a wide range of service types differs based on the facility's racial/ethnic composition. We used the 2020 National Mental Health Services Survey to identify twelve services offered in outpatient mental health treatment facilities (N = 1,074 facilities). We used logistic regression to model each of the twelve services, predicted by the percentage of a facility's clientele that was White, Black, and Hispanic, adjusted for covariates. Facilities with the highest proportions of Black and Hispanic clientele demonstrated the lowest predicted probabilities of offering comprehensive and integrated services. Our findings offer context around upstream factors that may, in part, drive treatment disparities. We orient our findings around frameworks of structural racism and inequities in mental healthcare.

Race, community disadvantage, and cognitive decline: Findings from KHANDLE and STAR.

INTRODUCTION: Community disadvantage is associated with late-life cognition. Few studies examine its contribution to racial disparities in cognition/cognitive change. METHODS: Inverse probability weighted models estimated expected mean differences in cognition/cognitive change attributed to residing in less advantaged communities, defined as cohort top quintile of Area Deprivation Indices (ADI): childhood 66-100; adulthood ADI 5-99). Interactions by race tested. RESULTS: More Black participants resided in less advantaged communities. Semantic memory would be lower if all participants had resided in less advantaged childhood (b = -0.16, 95% confidence interval [CI] = -0.30, -0.03) or adulthood (b = -0.14, 95% CI = -0.22, -0.04) communities. Race interactions indicated that, among Black participants, less advantaged childhood communities were associated with higher verbal episodic memory (interaction p-value = 0.007) and less advantaged adulthood communities were associated with lower semantic memory (interaction p-value = 0.002). DISCUSSION: Examining racial differences in levels of community advantage and late-life cognitive decline is a critical step toward unpacking community effects on cognitive disparities.

The Influence of the Great Recession on Adolescent Major Depressive Episodes and Treatment in the United States: An Interrupted Time Series Analysis.

PURPOSE: In the United States, adolescent depression increased beginning in 2008-2010, coinciding with the Great Recession. We investigated whether this time of changing economic circumstances impacted adolescent depression and treatment. METHODS: We analyzed data for adolescents aged 12-17 years from the 2004-2019 National Survey on Drug Use and Health (N = 256,572). Adolescents' past-year major depressive episodes (MDEs) were measured by self-reported symptoms. MDE treatment included seeing a health professional or receiving MDE medication. We tested how MDE and MDE treatment changed from pre-Great Recession (2004 to Fall 2007) to post-Great Recession (Winter 2007-2019) using interrupted time-series segmented regression models, accounting for seasonality and autocorrelation and testing for moderation by household poverty. RESULTS: The Great Recession was not associated with an immediate increase in MDE prevalence (ß:-0.77 [i.e., quarter-year change in prevalence], 95% confidence interval (CI): -2.23, 0.69). However, the increase in MDE prevalence accelerated following the Great Recession (ß: 0.29, 95% CI: 0.13, 0.44). The Great Recession was not associated with immediate or long-term changes in adolescent MDE treatment (immediate ß: -2.87, 95% CI: -7.79, 2.04; long-term ß: 0.03, 95% CI: -0.46, 0.51). Effects were similar for households by poverty status. DISCUSSION: The Great Recession was not associated with increased adolescent depression prevalence, although there was an acceleration in the trend of adolescent MDE following the recession. The prevalence of MDE treatment remained stable. Adolescent depression prevention efforts should be heightened as prevalence increases, including actively engaging caregivers as family supports to alleviate potential negative implications of economic distress for adolescent MDE.

Quantitative approaches to measuring structural cisgenderism.

There is rapidly growing interest in understanding the impacts of structural cisgenderism on health and health inequities for transgender and nonbinary populations. This growing interest has led to an influx of novel measures of structural cisgenderism. In this commentary, we discuss and identify gaps in existing measures and offer considerations for the development of future measures. Developing and utilizing valid measures of structural cisgenderism is crucial to quantify its impacts on health and health inequities, and to inform public health interventions, laws, and policies to eliminate gender identity and modality-based health inequities.

COVID-19-Associated Food Insecurity and Mental Health Symptoms Among Latinx Adults in the United States.

Introduction: U.S. Latinx adults were disproportionately burdened by COVID-19 infection, as well as food insecurity compared to their non- Hispanic white adults. It is less clear if within-group variations among U.S. Latinx adults exist in food insecurity and mental health outcomes. Methods: We conducted a secondary data analysis of repeated cross-sectional survey waves from the Understanding America Study (UAS) study (N = 182,865). We computed multivariable generalized linear regression models to examine associations between food insecurity, demographic characteristics, and depressive symptoms. Results: Participants with a history of food insecurity had a higher prevalence of depressive symptoms compared to those without a history of food insecurity (21.1% compared to 5.23%, p < .0001). Mexican participants reported a significantly higher prevalence of depression compared to Latino participants of Puerto Rican, Central American, or another Latino ethnicity (8.94% compared to 2.84%, 1.76%, and 2.91%, respectively, p < .0001). Associations of self-reported food insecurity among men and women varied by asthma status. Conclusions: Our study demonstrates that participants with a history of food insecurity had a higher prevalence of depressive symptoms compared to those without a history of food insecurity. Our findings also illuminate the importance of disaggregating U.S. Latinx adults when examining associations between food insecurity and mental health.

A Prospective Sociocentric Study of 2 Entire Traditional Korean Villages: The Korean Social Life, Health, and Aging Project (KSHAP).

The Korean Social Life, Health, and Aging Project (KSHAP) was a multidisciplinary prospective study conducted in South Korea that measured various health biomarkers from blood, hair, and brain magnetic resonance imaging, and we examined their associations with sociocentric (global) social network data of older adults in 2 entire villages (or cohorts). Cohort K included participants aged 60 years or older, and cohort L included participants aged 65 years or older. We performed a baseline survey involving 814 of the 860 individuals (94.7% response rate) in cohort K in 2012 and 947 of the 1,043 individuals (90.8% response rate) in cohort L in 2017. We gathered longitudinal data for 5 waves in cohort K from 2011 to 2019 and 2 waves in cohort L from 2017 to 2022. Here, we describe for the first time the follow-up design of the KSHAP, the changes in social networks, and various biomarkers over a number of years. The data for cohort K are publicly available via the Korean Social Science Data Archive as well as the project website, and the data for cohort L will be shared soon.