The association between reproductive rights and access to abortion services and mental health among US women.

Background: This study examines whether living in US states with (1) restrictive reproductive rights and (2) restrictive abortion laws is associated with frequent mental health distress among women. Methods: We operationalize reproductive rights using an overall state-level measure of reproductive rights as well as a state-level measure of restrictive abortion laws. We merged data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) with these state-level exposure variables and other state-level information. We used multilevel logistic regression to assess the relationship between these two measures and the likelihood of reporting 14 or more days of frequent mental health distress. We also tested whether associations differed across race, household income, education, and marital status. Results: In the adjusted models, a standard deviation-unit increase in the reproductive rights score was significantly associated with decreased odds of reporting frequent mental health distress (OR = 0.95, 95% CI = 0.91, 0.99). Women in states with very hostile abortion restrictions had higher odds of frequent mental health distress. Associations between state-level abortion restrictions were larger among women 25-34 years old and women with a high school degree. For example, women aged 25-34 years residing in moderate (OR = 1.54, 95% CI = 1.14, 2.04), hostile (OR = 1.59, 95% CI = 1.15, 2.18), and very hostile (OR = 1.29, 95% CI = 1.02, 1.64) states were more likely to report frequent mental health distress than women living in states with less restrictive abortion policies. Conclusion: We found the association between state-level restrictions on reproductive rights and abortion access and frequent mental health distress differed by age and socioeconomic status. These results suggest abortion rights restrictions may contribute to mental health inequities among women.

Can changing neighborhoods influence mental health? An ecological analysis of gentrification and neighborhood-level serious psychological distress-New York City, 2002-2015.

Neighborhood conditions influence people's health; sustaining healthy neighborhoods is a New York City (NYC) Health Department priority. Gentrification is characterized by rapid development in historically disinvested neighborhoods. The gentrification burden, including increased living expenses, and disrupted social networks, disproportionally impacts certain residents. To ultimately target health promotion interventions, we examined serious psychological distress time trends in gentrifying NYC neighborhoods to describe the association of gentrification and mental health overall and stratified by race and ethnicity. We categorized NYC neighborhoods as hypergentrifying, gentrifying, and not-gentrifying using a modified New York University Furman Center index. Neighborhoods with ≥100% rent growth were hypergentrifying; neighborhoods with greater than median and <100% rent growth were gentrifying; and neighborhoods with less than median rent growth were not-gentrifying. To temporally align neighborhood categorization closely with neighborhood-level measurement of serious psychological distress, data during 2000-2017 were used to classify neighborhood type. We calculated serious psychological distress prevalence among adult populations using data from 10 NYC Community Health Surveys during 2002-2015. Using joinpoint and survey-weighted logistic regression, we analyzed serious psychological distress prevalence time trends during 2002-2015 by gentrification level, stratified by race/ethnicity. Among 42 neighborhoods, 7 were hypergentrifying, 7 were gentrifying, and 28 were not gentrifying. In hypergentrifying neighborhoods, serious psychological distress prevalence decreased among White populations (8.1% to 2.3%, ß = -0.77, P = 0.02) and was stable among Black (4.6% to 6.9%, ß = -0.01, P = 0.95) and Latino populations (11.9% to 10.4%, ß = -0.16, P = 0.31). As neighborhoods gentrified, different populations were affected differently. Serious psychological distress decreased among White populations in hypergentrifying neighborhoods, no similar reductions were observed among Black and Latino populations. This analysis highlights potential unequal mental health impacts that can be associated with gentrification-related neighborhood changes. Our findings will be used to target health promotion activities to strengthen community resilience and to ultimately guide urban development policies.

Increased female political representation associated with lower county-level uninsured and preventable hospitalizations rates in the United States, 2013-2018.

OBJECTIVE: Although women comprise 50% of the population, females remain underrepresented in government. Inequitable female political representation, a form of structural sexism, may impact population health. Previous studies focused primarily on individual health behaviors and low- or middle-income countries. To date, no study has examined the association between female political representation and healthcare access and utilization, immediately policy-amenable outcomes, in the United States. STUDY DESIGN: This was a repeated cross-sectional study. METHODS: This study uses 2013-2018 county-level data from the County Rankings. I performed multilevel analyses to determine the relationships between state-level female representation (% female state legislators) and two outcomes-the percentage of county-level population under age 65 years without health insurance (primary outcome) and the county-level preventable hospitalization rates (secondary outcome of interest). Potential confounders included county-level and state-level characteristics such as the unemployment rate. I also examined whether associations differed by political party control of the state legislature. RESULTS: In the fully adjusted model, one standard deviation difference in female political representation was associated with a decrease of 0.22 percentage points in county-level uninsured (95% confidence interval = -0.32, -0.12). The association between female political representation and preventable hospitalization rate differed according to state political party in control, with a decrease found only among counties in democratic/split controlled states (-80.51, 95% confidence interval = -149.65, -11.38). CONCLUSIONS: The results suggest that policy intervention addressing the underrepresentation of women in government may help increase the proportion of uninsured and, under certain circumstances, decrease county-level unnecessary hospitalizations. However, further research is needed to better understand the role of political party control in modifying noted associations.

The relationship between voting restrictions and COVID-19 case and mortality rates between US counties.

BACKGROUND: Since the 2010 election, the number of laws in the U.S. that create barriers to voting has increased dramatically. These laws may have spillover effects on population health by creating a disconnect between voter preferences and political representation, thereby limiting protective public health policies and funding. We examine whether voting restrictions are associated with county-level COVID-19 case and mortality rates. METHODS: To obtain information on restricted access to voting, we used the Cost of Voting Index (COVI), a state-level measure of barriers to voting during a U.S. election from 1996 to 2016. COVID-19 case and mortality rates were obtained from the New York Times' GitHub database (a compilation from multiple academic sources). Multilevel modeling was used to determine whether restrictive voting laws were associated with county-level COVID-19 case and mortality rates after controlling for county-level characteristics from the County Health Rankings. We tested whether associations were heterogeneous across racial and socioeconomic groups. RESULTS: A significant association was observed between increasing voting restrictions and COVID-19 case (ß = 580.5, 95% CI = 3.9, 1157.2) and mortality rates (ß = 16.5, 95% CI = 0.33,32.6) when confounders were included. CONCLUSIONS: Restrictive voting laws were associated with higher COVID-19 case and mortality rates.

Unconditional cash transfers for reducing poverty and vulnerabilities: effect on use of health services and health outcomes in low- and middle-income countries.

BACKGROUND: Unconditional cash transfers (UCTs; provided without obligation) for reducing poverty and vulnerabilities (e.g. orphanhood, old age, or HIV infection) are a social protection intervention addressing a key social determinant of health (income) in low- and middle-income countries (LMICs). The relative effectiveness of UCTs compared with conditional cash transfers (CCTs; provided only if recipients follow prescribed behaviours, e.g. use a health service or attend school) is unknown. OBJECTIVES: To assess the effects of UCTs on health services use and health outcomes in children and adults in LMICs. Secondary objectives are to assess the effects of UCTs on social determinants of health and healthcare expenditure, and to compare the effects of UCTs versus CCTs. SEARCH METHODS: For this update, we searched 15 electronic academic databases, including CENTRAL, MEDLINE and EconLit, in September 2021. We also searched four electronic grey literature databases, websites of key organisations and reference lists of previous systematic reviews, key journals and included study records. SELECTION CRITERIA: We included both parallel-group and cluster-randomised controlled trials (C-RCTs), quasi-RCTs, cohort studies, controlled before-and-after studies (CBAs), and interrupted time series studies of UCT interventions in children (0 to 17 years) and adults (≥ 18 years) in LMICs. Comparison groups received either no UCT, a smaller UCT or a CCT. Our primary outcomes were any health services use or health outcome. DATA COLLECTION AND ANALYSIS: Two review authors independently screened potentially relevant records for inclusion, extracted data and assessed the risk of bias. We obtained missing data from study authors if feasible. For C-RCTs, we generally calculated risk ratios for dichotomous outcomes from crude frequency measures in approximately correct analyses. Meta-analyses applied the inverse variance or Mantel-Haenszel method using a random-effects model. Where meta-analysis was impossible, we synthesised results using vote counting based on effect direction. We assessed the certainty of the evidence using GRADE. MAIN RESULTS: We included 34 studies (25 studies of 20 C-RCTs, six CBAs, and three cohort studies) involving 1,140,385 participants (45,538 children, 1,094,847 adults) and 50,095 households in Africa, the Americas and South-East Asia in our meta-analyses and narrative syntheses. These analysed 29 independent data sets. The 24 UCTs identified, including one basic universal income intervention, were pilot or established government programmes or research experiments. The cash value was equivalent to 1.3% to 81.9% of the annualised gross domestic product per capita. All studies compared a UCT with no UCT; three studies also compared a UCT with a CCT. Most studies carried an overall high risk of bias (i.e. often selection or performance bias, or both). Most studies were funded by national governments or international organisations, or both. Throughout the review, we use the words 'probably' to indicate moderate-certainty evidence, 'may/maybe' for low-certainty evidence, and 'uncertain' for very low-certainty evidence. Health services use We assumed greater use of any health services to be beneficial. UCTs may not have impacted the likelihood of having used any health service in the previous 1 to 12 months, when participants were followed up between 12 and 24 months into the intervention (risk ratio (RR) 1.04, 95% confidence interval (CI) 1.00 to 1.09; I2 = 2%; 5 C-RCTs, 4972 participants; low-certainty evidence). Health outcomes At one to two years, UCTs probably led to a clinically meaningful, very large reduction in the likelihood of having had any illness in the previous two weeks to three months (RR 0.79, 95% CI 0.67 to 0.92; I2 = 53%; 6 C-RCTs, 9367 participants; moderate-certainty evidence). UCTs may have increased the likelihood of having been food secure over the previous month, at 13 to 36 months into the intervention (RR 1.25, 95% CI 1.09 to 1.45; I2 = 85%; 5 C-RCTs, 2687 participants; low-certainty evidence). UCTs may have increased participants' level of dietary diversity over the previous week, when assessed with the Household Dietary Diversity Score and followed up 24 months into the intervention (mean difference (MD) 0.59 food categories, 95% CI 0.18 to 1.01; I2 = 79%; 4 C-RCTs, 9347 participants; low-certainty evidence). Despite several studies providing relevant evidence, the effects of UCTs on the likelihood of being moderately stunted and on the level of depression remain uncertain. We found no study on the effect of UCTs on mortality risk. Social determinants of health UCTs probably led to a clinically meaningful, moderate increase in the likelihood of currently attending school, when assessed at 12 to 24 months into the intervention (RR 1.06, 95% CI 1.04 to 1.09; I2 = 0%; 8 C-RCTs, 7136 participants; moderate-certainty evidence). UCTs may have reduced the likelihood of households being extremely poor, at 12 to 36 months into the intervention (RR 0.92, 95% CI 0.87 to 0.97; I2 = 63%; 6 C-RCTs, 3805 participants; low-certainty evidence). The evidence was uncertain for whether UCTs impacted livestock ownership, participation in labour, and parenting quality. Healthcare expenditure Evidence from eight cluster-RCTs on healthcare expenditure was too inconsistent to be combined in a meta-analysis, but it suggested that UCTs may have increased the amount of money spent on health care at 7 to 36 months into the intervention (low-certainty evidence). Equity, harms and comparison with CCTs The effects of UCTs on health equity (or unfair and remedial health inequalities) were very uncertain. We did not identify any harms from UCTs. Three cluster-RCTs compared UCTs versus CCTs with regard to the likelihood of having used any health services or had any illness, or the level of dietary diversity, but evidence was limited to one study per outcome and was very uncertain for all three. AUTHORS' CONCLUSIONS: This body of evidence suggests that unconditional cash transfers (UCTs) may not impact a summary measure of health service use in children and adults in LMICs. However, UCTs probably or may improve some health outcomes (i.e. the likelihood of having had any illness, the likelihood of having been food secure, and the level of dietary diversity), two social determinants of health (i.e. the likelihoods of attending school and being extremely poor), and healthcare expenditure. The evidence on the relative effectiveness of UCTs and CCTs remains very uncertain.

The Bidirectional Relationship between Posttraumatic Stress Symptoms and Social Support in a 9/11-Exposed Cohort: A Longitudinal Cross-Lagged Analysis.

Research on the longitudinal relationship between posttraumatic stress disorder (PTSD) and social support among survivors of large-scale trauma is limited. This study assessed bidirectional relationships between PTSD and perceived social support in a large sample of the 9/11-exposed cohort over a 14-year follow-up. We used data from 23,165 World Trade Center Health Registry (WTCHR) enrollees who were exposed to the 9/11 attacks and participated in the first four WTCHR surveys (Wave 1 (2003−2004) to Wave 4 (2015−2016)). PTSD symptoms were measured using the 17-item PTSD Checklist. Perceived social support was measured using the five-item version of the Modified Social Support Survey. We used a cross-lagged panel analysis and found an inverse relationship between PTSD symptoms and social support. PTSD at Wave 2 (W2) predicted less social support at Wave 3 (W3) (ß = −0.10, p < 0.01), and PTSD at W3 predicted less social support at W4 (ß = −0.05, p < 0.01). Conversely, social support at W3 buffered PTSD symptoms at W4 (ß = −0.03, p < 0.05). Sub-analyses by types of perceived social support suggest greater effects of PTSD on emotional support than tangible support and in community members than rescue/recovery workers. Our findings suggest a bidirectional effect between PTSD symptoms and social support in a longitudinal study of 9/11-exposed populations.

Dynamic residential movement and depression among the World Trade Center Health Registry enrollees.

PURPOSE: Residential instability is associated with poor mental health, but its causal inference is challenging due to time-varying exposure and confounding, and the role of changing social environments. We tested the association between frequent residential moving and depression risk among adults exposed to the 9/11 disaster. METHODS: We used four waves of survey data from the World Trade Center Health Registry. We measured residential movement and depression using geocoded annual address records and the Personal Health Questionnaire Depression Scale, respectively, for a prospective cohort of 38,495 adults. We used the longitudinal Targeted Maximum Likelihood Method to estimate depression risk by frequent residential moving and conducted causal mediation analysis to evaluate a mediating role of social environments. RESULTS: Most enrollees (68%) did not move in 2007-2014, and 6% moved at least once every 4 years. The remaining 26% moved less frequently (e.g., only moving in 2007-2010). Frequent moving versus no moving was associated with risk of depression in 2015-16 (RR = 1.20, 95% CI = 1.06, 1.37). Frequent residential moving-depression pathway was mediated by high social integration (OR = 0.93, 95% CI = 0.90, 0.97). CONCLUSION: These findings demonstrate the importance of social networks in understanding increased risk of depression associated with housing instability.

Financial Barriers to Mental Healthcare Services and Depressive Symptoms among Residents of Washington Heights, New York City.

Objectives: In the United States, Hispanics are more likely to experience financial barriers to mental health care than non-Hispanics. We used a unique survey to study the effect of these financial barriers on the severity of depressive symptoms among Hispanics who had previously been diagnosed as having depression. Methods: This cross-sectional study used data from the 2015 Washington Heights Community Survey, administered to 2,489 households in Manhattan, New York City. Multiple regression models and propensity score matching were used to estimate the association between financial barriers to mental health care and depressive symptoms and the likelihood of being clinically depressed. Results: Among those diagnosed with depression, those with financial barriers to mental health services or counseling had significantly higher (ß = 0.36, 95% CI = 0.03, 0.70) depressive symptoms. When propensity score matching was utilized, those with financial barriers to mental health services had significantly greater depressive symptoms (ß = 0.63, 95% CI = 0.37, 0.89) and were significantly more likely to be currently depressed (OR = 2.38, 95% CI = 1.46, 3.89), in comparison to those who had access. Conclusions: Making mental health care more affordable and therefore more accessible to Hispanics is one step toward mitigating the burden on mental illness and decreasing health disparities.

Difference in Hospital Utilization Within the First 12 Months Among Low-Birth-Weight Infants in Medicaid Managed Care Versus Fee-for-Service: A Regression Discontinuity Study.

OBJECTIVE: To examine the effect of Medicaid managed care (MMC) versus Medicaid fee-for-service (FFS) on emergency department (ED) use and hospitalization during the first 6 and 12 months of life among low-birth-weight (LBW) infants. METHODS: We used the New York City Office of Vital Statistics-Statewide Planning and Research Cooperative System (OVS-SPARCS) dataset to identify 9135 LBW infants born to female Medicaid beneficiaries in New York City from January 2008-March 2012. We applied a robust regression discontinuity framework using a New York State Medicaid policy in effect at that time. This policy automatically enrolled infants born to female Medicaid beneficiaries to Medicaid managed care (MMC) or Medicaid fee-for-service (FFS) based on their birth weight (less than 1200 g vs. 1200-2500 g) during the first 6 months of their lives. RESULTS: LBW infants in MMC had an average 0.16% points higher probability of being hospitalized within the first year of their lives than those in Medicaid FFS (p-value = 0.04). CONCLUSIONS FOR PRACTICE: More research is necessary to understand possible differences in healthcare utilization between MMC and FFS participants with high health risks.

Perceived Discrimination and Increased Odds of Unmet Medical Needs Among US Children.

Our study examines the association between perceived discrimination due to race and unmet medical needs among a nationally representative sample of children in the United States. We used data from the 2016-2017 National Survey of Children's Health, a population-based cross-sectional survey of randomly selected parents or guardians in the United States. We compared results from the coarsened exact matching (CEM) method and survey-weighted logistic regression to assess the robustness of the results. Using self-reported measures from caregivers, we find that ∼2.7% of US children have experienced racial discrimination with prevalence varying significantly by race. While <1% of non-Hispanic whites have experienced some measure of racism, this increases to 8.8% among non-Hispanic blacks. Perceived discrimination was associated with significantly greater odds of unmet medical needs in the adjusted, survey-weighted multivariate-adjusted model (adjusted odds ratio [OR] = 2.4 and 95% confidence interval [CI] = 1.2, 4.9) as well as in the CEM-model estimate (OR = 2.8 and 95% CI = 1.8, 4.0). Children who have experienced perceived discrimination had higher odds of unmet medical needs. Awareness of discrimination among children may help inform future intervention development that addresses unmet medical needs during childhood.

Barriers to Voting and Access to Health Insurance Among US Adults: A Cross-Sectional Study.

Background: Many states in the United States (US) have introduced barriers to impede voting among individuals from socio-economically disadvantaged groups. This may reduce representation thereby decreasing access to lifesaving goods, such as health insurance. Methods: We used cross-sectional data from 242,727 adults in the 50 states and District of Columbia participating in the US 2017 Behavioral Risk Factor Surveillance System (BRFSS). To quantify access to voting, the Cost of Voting Index (COVI), a global measure of barriers to voting within a state during a US election was used. Multilevel modeling was used to determine whether barriers to voting were associated with health insurance status after adjusting for individual- and state-level covariates. Analyses were stratified by racial/ethnic identity, household income, and age group. Findings: A one standard deviation (SD) increase in COVI score was associated with an overall increased odds of being uninsured (OR=1.25; 95% CI=1.22, 1.28). This association was also present for Non-Hispanic Black (OR=1.18; 95% CI=1.13,1.22), Hispanic (1.18; 95% CI=1.15,1.21), and Asian (OR=1.45;95%CI=1.27,1.66), and other Non-Hispanic (OR=1.12, 95% CI=1.06, 1.18) US adults, but not for White Non-Hispanic and Native US adults. Likewise, a one SD increase in COVI among adults from low-income households was associated with an increased odds of being uninsured (OR=1.32; 95% CI=1.26,1.38) but there was no association among individuals with incomes greater than $75,000. This association was similar for younger US adults (OR=1.22; 95%CI=1.20,1.24) but not among those aged 45 to 64. Interpretation: Groups commonly targeted by voting restriction laws-those with low incomes, who are racial minorities, and who are young-are also less likely to be insured in states with more voting restrictions. However, those who are wealthier, white or older are no more likely to be uninsured irrespective of the level of voting restrictions. Funding: Pabayo is a Tier II Canada Research Chair.

Impact of law enforcement-related deaths of unarmed black New Yorkers on emergency department rates, New York 2013-2016.

BACKGROUND: Law enforcement-related deaths of unarmed black Americans may lead black communities to distrust public institutions. Our study quantifies the impact of law enforcement-related deaths of black New York residents on the use of hospital emergency departments (ED) during 2013-2016. METHODS: We used regression discontinuity models stratified by race and time period (2013-2015 and 2015-2016) to estimate the impact of law enforcement-related deaths on ED rates. Dates of deaths and media reports were from the Mapping Police Violence database. We calculated the daily overall and condition-specific ED visit rates from the New York's Statewide Planning and Research Cooperative System. RESULTS: There were 14 law enforcement-related deaths of unarmed black New York residents from 2013 to 2016. In 2013-2014, the ED rate among black New Yorkers decreased by 7.7 visits per 100 000 black New Yorkers (5% less than the average ED rate) using the date of media report as the cut-off with a 2-week exposure window. No changes in ED rates were noted for black New Yorkers in 2015-2016 or for white New Yorkers in either time period. Models using the date of death followed a similar pattern. CONCLUSION: The decrease in ED rates among black New Yorkers immediately following media reports of law enforcement-related deaths involving unarmed black New Yorkers during 2013-2014 may represent potentially harmful delays in healthcare. Reforms implemented during 2015-2016 might have modified the impact of these deaths. Further investigation into the population health impacts of law enforcement-related deaths is needed.

State-level income inequality and the odds for meeting fruit and vegetable recommendations among US adults.

BACKGROUND: Previous research indicates that income inequality is associated with risk for mortality, self-rated health status, chronic conditions, and health behavior, such as physical activity. However, little is known about the relationship between income inequality and dietary intake, which is a major risk factor for common chronic diseases including heart disease, stroke, diabetes, and certain types of cancers. The objective of this study is to determine the association between US state income inequality and fruit and vegetable consumption among adults. METHODS: Cross-sectional data on 270,612 U.S. adults from the U.S. 2013 Behavioral Risk Factor Surveillance System was used. Fruit and vegetable consumption was assessed from the six-item fruit and vegetable frequency questionnaire, which is part of the Behavioral Risk Factor Surveillance System. Multilevel modeling was used to determine whether US state-level income inequality (measured by the z-transformation of the Gini coefficient) was associated with fruit and vegetable consumption adjusting for individual-level and state-level covariates. RESULTS: In comparison to men, women were more likely to consume fruits and vegetables ≥5 times daily, fruits ≥2 times daily, vegetables ≥3 times of daily, and less likely to consume fruit juice daily. Among both men and women, a standard deviation increase in Gini coefficient was associated with an increase in consuming fruit juice daily (OR = 1.07, 95% CI = 1.03, 1.11). However, among women, a standard deviation increase in Gini coefficient was associated with a decreased likelihood in meeting daily recommended levels of both fruits and vegetables (OR = 0.93; 0.87-0.99), fruits only (OR = 0.95; 95% CI, 0.92-0.99) and vegetables only (OR = 0.92; 95% CI, 0.89-0.96). CONCLUSIONS: This study is one of the first to show the relationship between income inequality and fruit and vegetable consumption among U.S. adults empirically. Women's health is more likely to be detrimentally affected when living in a state with higher income inequality.

Housing stability and diabetes among people living in New York city public housing.

Public housing provides affordable housing and, potentially, housing stability for low-income families. Housing stability may be associated with lower incidence or prevalence and better management of a range of health conditions through many mechanisms. We aimed to test the hypotheses that public housing residency is associated with both housing stability and reduced risk of diabetes incidence, and the relationship between public housing and diabetes risk varies by levels of housing stability. Using 2004-16 World Trade Center Health Registry data, we compared outcomes (housing stability measured by sequence analysis of addresses, self-reported diabetes diagnoses) between 730 New York City public housing residents without prevalent diabetes at baseline and 730 propensity score-matched non-public housing residents. Sequence analysis found 3 mobility patterns among all 1460 enrollees, including stable housing (65%), limited mobility (27%), and unstable housing patterns (8%). Public housing residency was associated with stable housing over 12 years. Diabetes risk was not associated with public housing residency; however, among those experiencing housing instability, a higher risk of diabetes was found among public housing versus non-public housing residents. Of those stably housed, the association remained insignificant. These findings provide important evidence for a health benefit of public housing via housing stability among people living in public housing.

Association between racial discrimination and health-related quality of life and the impact of social relationships.

PURPOSE: Interpersonal racial discrimination is associated with poor health. Social relationships may moderate the impact of discrimination and represent modifiable behaviors that can be targeted by public health interventions. We described citywide associations between self-reported racial discrimination and health-related quality of life among the overall New York City (NYC) adult residential population and by four main race/ethnicity groups and explored whether social relationships moderated health effects of discrimination. METHODS: We analyzed cross-sectional survey data from 2335 adults weighted to be representative of the NYC population. We measured exposures to lifetime interpersonal racial discrimination in nine domains using a modified version of the Experiences of Discrimination scale. We performed unadjusted and adjusted regression analyses on four self-rated health-related quality of life outcomes including general health, physical health, mental health, and limitations from physical or mental health. RESULTS: Overall, 47% [95% CI 44.5, 50.3] of respondents reported having experienced racial discrimination in at least one domain. In the overall population, significant associations with racial discrimination were noted in adjusted models for poor physical health, poor mental health, and limitations by poor physical and mental health. Among those exposed to racial discrimination, the risk of experiencing poor mental health was lower among those who had contact with family or friends outside their household at least once a week, compared with those who had less frequent social contact. CONCLUSION: This study provides evidence that social relationships may moderate the impact of racial discrimination on mental health and should be integrated into health promotion efforts.

Residential mobility and chronic disease among World Trade Center Health Registry enrollees, 2004-2016.

Residential mobility is hypothesized to impact health through changes to the built environment and disruptions in social networks, and may vary by neighborhood deprivation exposure. However, there are few longitudinal investigations of residential mobility in relation to health outcomes. This study examined enrollees from the World Trade Center Health Registry, a longitudinal cohort of first responders and community members in lower Manhattan on September 11, 2001. Enrollees who completed ≥2 health surveys between 2004 and 2016 and did not have diabetes (N = 44,089) or hypertension (N = 35,065) at baseline (i.e., 2004) were included. Using geocoded annual home addresses, residential mobility was examined using two indicators: moving frequency and displacement. Moving frequency was defined as the number of times someone was recorded as living in a different neighborhood; displacement as any moving to a more disadvantaged neighborhood. We fit adjusted Cox proportional hazards models with time-dependent exposures (moving frequency and displacement) and covariates to evaluate associations with incident diabetes and hypertension. From 2004 to 2016, the majority of enrollees never moved (54.5%); 6.5% moved ≥3 times. Those who moved ≥3 times had a similar hazard of diabetes (hazard ratio (HR) = 0.78; 95% Confidence Interval (CI): 0.40, 1.53) and hypertension (HR = 0.99; 95% CI: 0.68, 1.43) compared with those who never moved. Similarly, displacement was not associated with diabetes or hypertension. Residential mobility was not associated with diabetes or hypertension among a cohort of primarily urban-dwelling adults.

A Comparison of Common Health Indicators From Two Surveys of Latinos in the Bronx, New York.

INTRODUCTION: Population health surveys inform and demonstrate the impact of public health policies. However, the performance of such surveys in specific groups of interest (e.g., Hispanics/Latinos in a neighborhood of New York City) is rarely studied. METHOD: We compared measures for obesity, hypertension, diabetes, and current smoking based on the New York City Community Health Survey (CHS, a telephone survey of New York City adults) with the Hispanic Community Health Survey/Study of Latinos (HCHS/SOL), an in-person survey of Hispanic/Latino adults in four communities in the United States (2008-2011), including the Bronx. CHS data were limited to Hispanic/Latinos living in the HCHS/SOL Bronx catchment area. RESULTS: Compared with CHS, HCHS/SOL estimated higher prevalence of obesity (in HCHS/SOL, PHCHS/SOL = 45.0% vs. in CHS, PCHS = 30.6%, p < .01) and current smoking (PHCHS/SOL = 21.2% vs. PCHS = 16.2%, p < .01) but similar for hypertension (PHCHS/SOL = 33.1% vs. PCHS = 33.8%, p > .05) and diabetes (PHCHS/SOL = 15.2% vs. PCHS = 15.7%, p > .05). Stratified estimates (by age, sex, education, and Hispanic/Latino heritage) followed similar trends. CONCLUSION: Our study emphasizes the importance of assessing potential bias in population-based surveys of Hispanics/Latinos and other populations of interest and highlights the complex nature of measuring health outcomes via population-based surveys.

Collective Trauma and Mental Health Hospitalization Rates Among Children in New York State, 1999-2013: Age, Period, and Cohort Effects.

Mental health hospitalization rates among U.S. children have been increasing locally and nationally in recent decades. Children in New York State (NYS) have also witnessed several collective traumatic events during the last two decades including the September 11, 2001, terrorist attacks (9/11), the Great Recession, and Hurricane Sandy (2012) and its aftermath. Decomposition of these rates into age, period, and cohort effects may help elucidate how large-scale collective traumatic events may be driving time trends. This study examined age-period-cohort effects in children and youth mental health hospitalizations in NYS from 1999-2013. Age effects followed a linear trend from age 5 years, B = -2.76, 95% CI [-3.48, -2.03)] up to age 15 years, B = 1.62, 95% CI [1.52, 1.73]. The largest period effects were noted in 2004, B = 0.36, 95% CI [0.28, 0.45], and in 2013, B = 0.31, 95% CI [0.15, 0.47], approximately 3 years after 9/11 and the Great Recession, respectively. The largest birth cohort effect was noted for children born in 1992-1995 (range: 0.29 for children born in 1992-0.27 for children born in 1995), suggesting that the birth cohorts who experienced the 9/11 attacks during middle childhood and the Great Recession during puberty are at increased risk of mental health hospitalizations compared to other birth cohorts.

Cirrhosis as a Comorbidity in Conditions Subject to the Hospital Readmissions Reduction Program.

INTRODUCTION: Although the Hospital Readmissions Reduction Program (HRRP) has decreased readmissions in targeted conditions, outcomes in high-risk subgroups are unknown. This study analyzed the impact of cirrhosis as a comorbidity on readmissions in conditions subjected to the HRRP. METHODS: Using a longitudinal analysis of the New York, Florida, and Washington State inpatient databases from 2009 to 2013, adult Medicare beneficiaries with a diagnosis-related group of targeted conditions by the HRRP-pneumonia, congestive heart failure (CHF), and myocardial infarction (MI)-were included. Exclusion criteria included inability to assess for readmission, previous liver transplant, or having a readmission not subject to penalty under the HRRP. A sensitivity analysis used the International Classification of Diseases, 9th Revision, Clinical Modification codes to identify pneumonia, CHF, and MI hospitalizations. The primary outcome was 30-day readmission, with secondary outcomes including 90-day readmission, trends, and cirrhosis-specific risk factors for readmission. RESULTS: Of the 797,432 patients included, 8,964 (1.1%) had cirrhosis. Patients with cirrhosis had significantly higher 30-day readmissions overall (29.3% vs 23.8%, P < 0.001) and specifically for pneumonia and CHF, but not for MI. Thirty-day readmission rates significantly decreased in patients without cirrhosis (annual percent change -1.8%, P < 0.001), but not in patients with cirrhosis (P = 0.39). Similar findings were present for 90-day readmissions. A sensitivity analysis confirmed these findings. On multivariable analysis, cirrhosis was associated with significantly higher 30-day readmissions (odds ratio 1.13, P < 0.001). DISCUSSION: When cirrhosis is comorbid in patients with conditions subjected to the HRRP, readmissions are higher and have not improved. Focused efforts are needed to improve outcomes in cirrhosis and other high-risk comorbidities within the HRRP cohort.