Intersectional stigma and the non-communicable disease syndemic in the context of HIV: protocol for a multisite, observational study in the USA.

INTRODUCTION: The increasing burden of non-communicable diseases, such as hypertension, diabetes and dyslipidaemia, presents key challenges to achieving optimal HIV care outcomes among ageing people living with HIV. These diseases are often comorbid and are exacerbated by psychosocial and structural inequities. This interaction among multiple health conditions and social factors is referred to as a syndemic. In the USA, there are substantial disparities by social position (ie, racial, ethnic and socioeconomic status) in the prevalence and/or control of non-communicable diseases and HIV. Intersecting stigmas, such as racism, classism and homophobia, may drive these health disparities by contributing to healthcare avoidance and by contributing to a psychosocial syndemic (stress, depression, violence victimisation and substance use), reducing success along the HIV and non-communicable disease continua of care. Our hypothesis is that marginalised populations experience disparities in non-communicable disease incidence, prevalence and control, mediated by intersectional stigma and the psychosocial syndemic. METHODS AND ANALYSIS: Collecting data over a 4 year period, we will recruit sexual minority men (planned n=1800) enrolled in the MACS/WIHS Combined Cohort Study, a long-standing mixed-serostatus observational cohort in the USA, to investigate the following specific aims: (1) assess relationships between social position, intersectional stigma and the psychosocial syndemic among middle-aged and ageing sexual minority men, (2) assess relationships between social position and non-communicable disease incidence and prevalence and (3) assess relationships between social position and HIV and non-communicable disease continua of care outcomes, mediated by intersectional stigma and the psychosocial syndemic. Analyses will be conducted using generalised structural equation models using a cross-lagged panel model design. ETHICS AND DISSEMINATION: This protocol is approved as a single-IRB study (Advarra Institutional Review Board: Protocol 00068335). We will disseminate results via peer-reviewed academic journals, scientific conferences, a dedicated website, site community advisory boards and forums hosted at participating sites.

Officer-Involved Killings of Unarmed Black People and Racial Disparities in Sleep Health.

Importance: Racial disparities in sleep health may mediate the broader health outcomes of structural racism. Objective: To assess changes in sleep duration in the Black population after officer-involved killings of unarmed Black people, a cardinal manifestation of structural racism. Design, Setting, and Participants: Two distinct difference-in-differences analyses examined the changes in sleep duration for the US non-Hispanic Black (hereafter, Black) population before vs after exposure to officer-involved killings of unarmed Black people, using data from adult respondents in the US Behavioral Risk Factor Surveillance Survey (BRFSS; 2013, 2014, 2016, and 2018) and the American Time Use Survey (ATUS; 2013-2019) with data on officer-involved killings from the Mapping Police Violence database. Data analyses were conducted between September 24, 2021, and September 12, 2023. Exposures: Occurrence of any police killing of an unarmed Black person in the state, county, or commuting zone of the survey respondent's residence in each of the four 90-day periods prior to interview, or occurence of a highly public, nationally prominent police killing of an unarmed Black person anywhere in the US during the 90 days prior to interview. Main Outcomes and Measures: Self-reported total sleep duration (hours), short sleep (<7 hours), and very short sleep (<6 hours). Results: Data from 181 865 Black and 1 799 757 White respondents in the BRFSS and 9858 Black and 46 532 White respondents in the ATUS were analyzed. In the larger BRFSS, the majority of Black respondents were between the ages of 35 and 64 (99 014 [weighted 51.4%]), women (115 731 [weighted 54.1%]), and college educated (100 434 [weighted 52.3%]). Black respondents in the BRFSS reported short sleep duration at a rate of 45.9%, while White respondents reported it at a rate of 32.6%; for very short sleep, the corresponding values were 18.4% vs 10.4%, respectively. Statistically significant increases in the probability of short sleep and very short sleep were found among Black respondents when officers killed an unarmed Black person in their state of residence during the first two 90-day periods prior to interview. Magnitudes were larger in models using exposure to a nationally prominent police killing occurring anywhere in the US. Estimates were equivalent to 7% to 16% of the sample disparity between Black and White individuals in short sleep and 13% to 30% of the disparity in very short sleep. Conclusions and Relevance: Sleep health among Black adults worsened after exposure to officer-involved killings of unarmed Black individuals. These empirical findings underscore the role of structural racism in shaping racial disparities in sleep health outcomes.

Wealth Redistribution to Extend Longevity in the US.

Importance: The US is unique among wealthy countries in its degree of wealth inequality and its poor health outcomes. Wealth is known to be positively associated with longevity, but little is known about whether wealth redistribution might extend longevity. Objective: To examine the association between wealth and longevity and estimate the changes in longevity that could occur with simulated wealth distributions that were perfectly equal, similar to that observed in Japan (among the most equitable of Organisation for Economic Co-operation and Development [OECD] countries), generated by minimum inheritance proposals, and produced by baby bonds proposals. Design, Setting, and Participants: This longitudinal cohort study analyzed the association between wealth and survival among participants in the Health and Retirement Study (1992-2018), a nationally representative panel study of middle-aged and older (≥50 years) community-dwelling, noninstitutionalized US adults. The data analysis was performed between November 15, 2022, and September 24, 2023. Exposure: Household wealth on study entry, calculated as the sum of all assets minus the value of debts and classified into deciles. Main Outcomes and Measures: Weibull survival models were used to estimate the association between per-person wealth decile and survival, adjusting for age, sex, marital status, household size, and race and ethnicity. Changes in longevity that might occur under alternative wealth distributions were then estimated. Results: The sample included 35 164 participants (mean [SE] age at study entry, 59.1 [0.1] years; 50.1% female and 49.9% male [weighted]). The hazard of death generally decreased with increasing wealth, wherein participants in the highest wealth decile had a hazard ratio of 0.59 for death (95% CI, 0.53-0.66) compared with those in the lowest decile, corresponding to a 13.5-year difference in survival. A simulated wealth distribution of perfect equality would increase populationwide median longevity by 2.2 years (95% CI, 2.2-2.3 years), fully closing the mortality gap between the US and the OECD average. A simulated minimum inheritance proposal would increase populationwide median longevity by 1.7 years; a simulated wealth distribution similar to Japan's would increase populationwide median longevity by 1.2 years; and a simulated baby bonds proposal would increase populationwide median longevity by 1.0 year. Conclusions and Relevance: These findings suggest that wealth inequality in the US is associated with significant inequities in survival. Wealth redistribution policies may substantially reduce those inequities and increase population longevity.

Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health.

Importance: Social determinants of health (SDOH) influence child health. However, most previous studies have used individual, small-set, or cherry-picked SDOH variables without examining unbiased computed SDOH patterns from high-dimensional SDOH factors to investigate associations with child mental health, cognition, and physical health. Objective: To identify SDOH patterns and estimate their associations with children's mental, cognitive, and physical developmental outcomes. Design, Setting, and Participants: This population-based cohort study included children aged 9 to 10 years at baseline and their caregivers enrolled in the Adolescent Brain Cognitive Development (ABCD) Study between 2016 and 2021. The ABCD Study includes 21 sites across 17 states. Exposures: Eighty-four neighborhood-level, geocoded variables spanning 7 domains of SDOH, including bias, education, physical and health infrastructure, natural environment, socioeconomic status, social context, and crime and drugs, were studied. Hierarchical agglomerative clustering was used to identify SDOH patterns. Main Outcomes and Measures: Associations of SDOH and child mental health (internalizing and externalizing behaviors) and suicidal behaviors, cognitive function (performance, reading skills), and physical health (body mass index, exercise, sleep disorder) were estimated using mixed-effects linear and logistic regression models. Results: Among 10 504 children (baseline median [SD] age, 9.9 [0.6] years; 5510 boys [52.5%] and 4994 girls [47.5%]; 229 Asian [2.2%], 1468 Black [14.0%], 2128 Hispanic [20.3%], 5565 White [53.0%], and 1108 multiracial [10.5%]), 4 SDOH patterns were identified: pattern 1, affluence (4078 children [38.8%]); pattern 2, high-stigma environment (2661 children [25.3%]); pattern 3, high socioeconomic deprivation (2653 children [25.3%]); and pattern 4, high crime and drug sales, low education, and high population density (1112 children [10.6%]). The SDOH patterns were distinctly associated with child health outcomes. Children exposed to socioeconomic deprivation (SDOH pattern 3) showed the worst health profiles, manifesting more internalizing (ß = 0.75; 95% CI, 0.14-1.37) and externalizing (ß = 1.43; 95% CI, 0.83-2.02) mental health problems, lower cognitive performance, and adverse physical health. Conclusions: This study shows that an unbiased quantitative analysis of multidimensional SDOH can permit the determination of how SDOH patterns are associated with child developmental outcomes. Children exposed to socioeconomic deprivation showed the worst outcomes relative to other SDOH categories. These findings suggest the need to determine whether improvement in socioeconomic conditions can enhance child developmental outcomes.

Health Insurance Coverage, Clinical Outcomes, and Health-Related Quality of Life Among Youth Born to Women Living With HIV.

BACKGROUND: Although sustained access to health care is essential, little is known about the relationship between insurance coverage and health among people born to women living with HIV (WLHIV). SETTING: Prospective cohort studies of youth and young adults born to WLHIV from 2007 to 2019. METHODS: We used adjusted generalized estimating equation models to estimate mean differences in, and relative risks (RRs) of, health-related quality of life (HR-QoL) and HIV disease measures over time by insurance status. HR-QoL scales with limited variability were dichotomized. Modified Poisson models were used to estimate RRs. RESULTS: Six hundred sixty-nine Adolescent Master Protocol (AMP) youth [66% living with perinatally-acquired HIV (PHIV), 72% Black] and 939 AMP Up/AMP Up Lite young adults (89% PHIV, 68% Black) reported insurance. Most were publicly insured (87% youth, 67% young adults). Privately insured young adults living with PHIV had lower risk of antiretroviral therapy nonadherence [adjusted RR (aRR): 0.82, 95% CI: 0.70 to 0.97] than those with public insurance. There was a lower risk of suboptimal role functioning for young adults with private insurance (aRR: 0.58, 95% CI: 0.35 to 0.97) and those unaware of their coverage (aRR: 0.41, 95% CI: 0.21 to 0.78). Young adults with private insurance had higher health perception scores than those with public insurance (adjusted mean difference: 3.87, 95% CI: 0.37 to 7.38). For youth, we observed no differences in HR-QOL and HIV disease measures by insurance. CONCLUSION: These findings suggest meaningful differences in antiretroviral therapy adherence and some HR-QoL outcomes by health insurance coverage among young adults born to WLHIV.

A post-outbreak assessment of exposure proximity and Ebola virus disease-related stigma among community members in Kono District, Sierra Leone: A cross-sectional study.

Background: Based on findings from other contexts, informed by intergroup contact theory, that more contact is associated with less stigma, we hypothesized that community members with greater exposure to cases of Ebola virus disease (EVD) were less likely to report EVD-related stigma towards EVD survivors. We assessed personal stigmatizing attitudes towards Ebola survivors, which reflects personal fear and judgement, as well as perceived stigma towards EVD survivors, which reflects an individual's perception of the attitudes of the community towards a stigmatized group. Methods: From September 2016 to July 2017, we conducted a cross-sectional, community-based study of EVD-related stigma among individuals who did not contract Ebola in four EVD-affected rural communities of Kono District, Sierra Leone. We identified individuals from all quarantined households and obtained a random sample of those who were unexposed. Exposed individuals either lived in a quarantined household or were reported to have been in contact with an EVD case. Our explanatory variable was proximity to an EVD case during the outbreak. Our primary outcome was stigma towards EVD survivors, measured by a 6-item adapted HIV-related stigma index validated in Zambia and South Africa, with 1 item reflecting personal stigmatizing attitudes and 5 items reflecting perceived community stigma. The 6-item EVD stigma index had good internal consistency (Cronbach's alpha=0.82). We used modified Poisson and negative binomial regression models, adjusting for potential confounders, to estimate the association between exposure proximity and EVD stigma. Results: We interviewed 538 participants aged 12 to 85 years. Most (57%) had been quarantined. Over one-third (39%) reported personal stigmatizing attitudes or perceived community stigma; the most frequently endorsed item was fear and judgment towards EVD survivors. Having contact with someone with EVD was significantly associated with a lower likelihood of perceived community stigma (prevalence ratio [PR], 0.26; 95% CI, 0.13-0.54) and personal stigmatizing attitudes (PR, 0.44; 95% CI, 0.29-0.65). In contrast, being quarantined was significantly associated with a higher likelihood of perceived community stigma (PR, 3.9; 95% CI, 1.5-10.1). Conclusions: In this cross-sectional study, we found evidence of an inverse relationship between EVD-related stigma and contact with an EVD case. This finding substantiates intergroup contact theory and may form the basis for anti-stigma interventions.

Sociodemographic and geographic disparities in excess fatal drug overdoses during the COVID-19 pandemic in California: A population-based study.

Background: The coronavirus disease 2019 (COVID-19) pandemic is co-occurring with a drug addiction and overdose crisis. Methods: We fit overdispersed Poisson models, accounting for seasonality and secular trends, to estimate the excess fatal drug overdoses (i.e., deaths greater than expected), using data on all deaths in California from 2016 to 2020. Findings: Between January 5, 2020 and December 26, 2020, there were 8605 fatal drug overdoses-a 44% increase over the same period one year prior. We estimated 2084 (95% CI: 1925 to 2243) fatal drug overdoses were excess deaths, representing 5·28 (4·88 to 5·68) excess fatal drug overdoses per 100,000 population. Excess fatal drug overdoses were driven by opioids (4·48 [95% CI: 4·18 to 4·77] per 100,000), especially synthetic opioids (2·85 [95% CI: 2·56 to 3·13] per 100,000). The non-Hispanic Black and Other non-Hispanic populations were disproportionately affected with 10·1 (95% CI: 7·6 to 12·5) and 13·26 (95% CI: 11·0 to 15·5) excess fatal drug overdoses per 100,000 population, respectively, compared to 5·99 (95% CI: 5.2 to 6.8) per 100,000 population in the non-Hispanic white population. There was a steep, nonlinear educational gradient with the highest rate among those with only a high school degree. There was a strong spatial patterning with the highest levels of excess mortality in the southernmost region and consistently lower levels at progressively more northern latitudes (7·73 vs 1·96 per 100,000). Interpretation: Fatal drug overdoses disproportionately increased in 2020 among structurally marginalized populations and showed a strong geographic gradient. Local, tailored public health interventions are urgently needed to reduce growing inequities in overdose deaths. Funding: US National Institutes of Health and Department of Veterans Affairs.

Use, cost-effectiveness, and end user perspectives of a home solar lighting intervention in rural Uganda: a mixed methods, randomized controlled trial.

Energy poverty is prevalent in resource-limited settings, leading households to use inefficient fuels and appliances that contribute to household air pollution. Randomized controlled trials of household energy interventions in low and middle income countries have largely focused on cooking services. Less is known about the adoption and impact of clean lighting interventions. We conducted an explanatory sequential mixed methods study as part of a randomized controlled trial of home solar lighting systems in rural Uganda in order to identify contextual factors determining the use and impact of the solar lighting intervention. We used sensors to track usage, longitudinally assessed household lighting expenditures and health-related quality of life, and performed cost-effectiveness analyses. Qualitative interviews were conducted with all 80 trial participants and coded using reflexive thematic analysis. Uptake of the intervention solar lighting system was high with daily use averaging 8.23 ± 5.30 hours per day. The intervention solar lighting system increased the EQ5D index by 0.025 [95% CI 0.002 - 0.048] and led to an average monthly reduction in household lighting costs by -1.28 [-2.52, -0.85] US dollars, with higher savings in users of fuel-based lighting. The incremental cost-effectiveness ratio for the solar lighting intervention was $2025.72 US dollars per quality adjusted life year (QALY) gained making the intervention cost-effective when benchmarked against the gross domestic product (GDP) per capita in Uganda. Thematic analysis of qualitative data from individual interviews showed that solar lighting was transformative and associated with numerous benefits that fit within a Social Determinants of Health (SDOH) framework. The benefits included improved household finances, improved educational performance of children, increased household safety, improved family and community cohesion, and improved perceived household health. Our findings suggest that household solar lighting interventions may be a cost-effective approach to improve health-related quality of life by addressing SDOH.

Food Insufficiency and Mental Health in the U.S. During the COVID-19 Pandemic.

INTRODUCTION: During the COVID-19 pandemic, the rates of food insecurity and mental illness have been projected to increase in the U.S. owing to significant social and economic disruption. This study aims to estimate the prevalence of food insufficiency (often the most extreme form of food insecurity), the correlates of food insufficiency, and the associations between food insufficiency and symptoms of poor mental health in the U.S. during the COVID-19 pandemic. METHODS: Cross-sectional data from 63,674 participants of the U.S. Census Household Pulse Survey were collected and analyzed in 2020. Multiple Poisson regression models were used to estimate associations with food insufficiency. RESULTS: Food insufficiency rose from 8.1% to 10.0% from March to June 2020. Factors associated with food insufficiency included lower age, Black/African American or Latinx race/ethnicity, being unmarried, larger household size, recent employment loss, income below the federal poverty line, and lower education (all p<0.001). Food insufficiency was independently associated with all symptoms of poor mental health, adjusting for socioeconomic and demographic factors (adjusted RRs ranged from 1.16 to 1.42, all p<0.001). The association between food insufficiency and poor mental health was attenuated among people who received free groceries or meals. CONCLUSIONS: Food insufficiency has increased during the COVID-19 pandemic and affects vulnerable populations, placing individuals at higher risk for symptoms of poor mental health. Particularly in the current crisis, clinicians should regularly screen patients for food insufficiency and mental health outcomes as well as provide support in accessing appropriate resources.

Economic influences on population health in the United States: Toward policymaking driven by data and evidence.

Atheendar S. Venkataramani and colleagues discuss economic factors and population health in the United States.

Do household asset wealth measurements depend on who is surveyed? Asset reporting concordance within multi-adult households in rural Uganda.

BACKGROUND: In resource-limited settings, the Filmer & Pritchett asset index is frequently used to measure household economic status. Little is known about how its validity is affected by differential reporting or recall within households. METHODS: As part of a whole-population survey in a rural region of southwestern Uganda, we elicited household asset information from married dyads (404 men and 404 matched women) residing within the same households. We assessed the extent to which the asset index yielded differing measures of relative household wealth, depending on whether the husband's or wife's survey data were used in its calculation. To estimate agreement, we used Cohen's κ for binary and categorical variables, and Cronbach's α for continuous variables. We also assessed the extent to which asset wealth quintiles assigned based on husbands' vs wives' reporting were concordant, and whether discordance was related to demographic characteristics. RESULTS: For most individual assets, agreement ranged from moderate to very good. Asset index scores based on husbands' vs wives' reporting were positively correlated (Pearson r = 0.85). Corresponding wealth quintiles were moderately concordant (weighted κ = 0.65); 171 households (43%) differed by one or more quintiles when the husbands' vs wives' reporting was used, and 43 (11%) differed by two or more quintiles. Concordance in asset wealth quintile could not be explained by joint educational attainment, age, or age difference. CONCLUSIONS: There is significant intra-household variability in household asset reporting that can materially affect how households are classified on a widely used measure of relative household asset wealth.

"When you have no water, it means you have no peace": A mixed-methods, whole-population study of water insecurity and depression in rural Uganda.

BACKGROUND: Lack of access to clean water has well known implications for communicable disease risks, but the broader construct of water insecurity is little studied, and its mental health impacts are even less well understood. METHODS AND FINDINGS: We conducted a mixed-methods, whole-population study in rural Uganda to estimate the association between water insecurity and depression symptom severity, and to identify the mechanisms underlying the observed association. The whole-population sample included 1776 adults (response rate, 91.5%). Depression symptom severity was measured using a modified 15-item Hopkins Symptom Checklist for Depression. Water insecurity was measured with a locally validated 8-item Household Water Insecurity Access Scale. We fitted multivariable linear and Poisson regression models to the data to estimate the association between water insecurity and depression symptom severity, adjusting for age, marital status, self-reported overall health, household asset wealth, and educational attainment. These models showed that water insecurity was associated with depression symptom severity (b = 0.009; 95% confidence interval [CI], 0.004-0.15) and that the estimated association was larger among men (b = 0.012; 95% CI, 0.008-0.015) than among women (b = 0.008; 95% CI, 0.004-0.012. We conducted qualitative interviews with a sub-group of 30 participants, focusing on women given their traditional role in household water procurement in the Ugandan context. Qualitative analysis, following an inductive approach, showed that water insecurity led to "choice-less-ness" and undesirable social outcomes, which in turn led to emotional distress. These pathways were amplified by gender-unequal norms. CONCLUSIONS: Among men and women in rural Uganda, the association between water insecurity and depression symptom severity is statistically significant, substantive in magnitude, and robust to potential confounding. Data from the qualitative interviews provide key narratives that reveal the mechanisms through which women's lived experiences with water insecurity may lead to emotional distress.

Relative wealth, subjective social status, and their associations with depression: Cross-sectional, population-based study in rural Uganda.

Depression is a leading cause of disability worldwide, and has been found to be a consistent correlate of socioeconomic status (SES). The relative deprivation hypothesis proposes that one mechanism linking SES to health involves social comparisons, suggesting that relative SES rather than absolute SES is of primary importance in determining health status. Using data from a whole-population sample of 1,620 participants residing in rural southwestern Uganda, we estimated the independent associations between objective and subjective relative wealth and probable depression, as measured by the depression subscale of the Hopkins Symptom Checklist (HSCLD). Objective relative wealth was measured by an asset index based on information about housing characteristics and household possessions, which was used to rank study participants into quintiles (within each village) of relative household asset wealth. Subjective relative wealth was measured by a single question asking participants to rate their wealth, on a 5-point Likert scale, relative to others in their village. Within the population, 460 study participants (28.4%) screened positive for probable depression. Using Poisson regression with cluster-robust error variance, we found that subjective relative wealth was associated with probable depression, adjusting for objective relative wealth and other covariates (adjusted relative risk [aRR] comparing lowest vs. highest level of subjective relative wealth = 1.90, 95% confidence interval [CI]: 1.18, 3.06). Objective relative wealth was not associated with probable depression (aRR comparing lowest vs. highest quintile of objective relative wealth = 1.09, 95% CI: 0.77, 1.55). These results suggest that, in this context, subjective relative wealth is a stronger correlate of mental health status compared with objective relative wealth. Our findings are potentially consistent with the relative deprivation hypothesis, but more research is needed to explain how relative differences in wealth are (accurately or inaccurately) perceived and to elucidate the implications of these perceptions for health outcomes.

Female sex and cardiovascular disease risk in rural Uganda: a cross-sectional, population-based study.

BACKGROUND: Sex-based differences in cardiovascular disease (CVD) burden are widely acknowledged, with male sex considered a risk factor in high-income settings. However, these relationships have not been examined in sub-Saharan Africa (SSA). We aimed to apply the American Heart Association (AHA) ideal cardiovascular health (CVH) tool modified by the addition of C-reactive protein (CRP) to examine potential sex-based differences in the prevalence of CVD risk in rural Uganda. METHODS: In a cross-sectional study nested within a population-wide census, 857 community-living adults completed physical and laboratory-based assessments to calculate individual ideal CVH metrics including an eight category for CRP levels. We summarized sex-specific ideal CVH indices, fitting ordinal logistic regression models to identify correlates of improving CVH. As secondary outcomes, we assessed subscales of ideal CVH behaviours and factors. Models included inverse probability of sampling weights to determine population-level estimates. RESULTS: The weighted-population mean age was 39.2 (1.2) years with 52.0 (3.7) % females. Women had ideal scores in smoking (80.4% vs. 68.0%; p < 0.001) and dietary intake (26.7% vs. 16.8%; p = 0.037) versus men, but the opposite in body mass index (47.3% vs. 84.4%; p < 0.001), glycated hemoglobin (87.4% vs. 95.2%; p = 0.001), total cholesterol (80.2% vs. 85.0%; p = 0.039) and CRP (30.8% vs. 49.7%; p = 0.009). Overall, significantly more men than women were classified as having optimal cardiovascular health (6-8 metrics attaining ideal level) (39.7% vs. 29.0%; p = 0.025). In adjusted models, female sex was correlated with lower CVH health factors sub-scales but higher ideal CVH behaviors. CONCLUSIONS: Contrary to findings in much of the world, female sex in rural SSA is associated with worse ideal CVH profiles, despite women having better indices for ideal CVH behaviors. Future work should assess the potential role of socio-behavioural sex-specific risk factors for ideal CVH in SSA, and better define the downstream consequences of these differences.

Syndemics: A theory in search of data or data in search of a theory?

The concept of a syndemic was proposed more than two decades ago to explain how large-scale social forces might give rise to co-occurring epidemics that synergistically interact to undermine health in vulnerable populations. This conceptual instrument has the potential to help policymakers and program implementers in their endeavors to improve population health. Accordingly, it has become an increasingly popular heuristic for advocacy, most notably in the field of HIV treatment and prevention. However, most empirical studies purporting to validate the theory of syndemics actually do no such thing. Tomori et al. (2018) provide a novel case study from India illustrating how the dominant empirical approach fails to promote deeper understanding about how hazardous alcohol use, illicit drug use, depression, childhood sexual abuse, and intimate partner violence interact to worsen HIV risk among men who have sex with men. In this commentary, I relate the theory of syndemics to other established social science and public health theories of disease distribution, identify possible sources of conceptual and empirical confusion, and provide concrete suggestions for how to validate the theory using a mixed-methods approach. The hope is that more evidence can be mobilized -- whether informed by the theory of syndemics or not -- to improve health and psychosocial wellbeing among vulnerable populations worldwide.

Evaluating the impact of Affordable Care Act repeal on America's opioid epidemic.

In this month's Editorial, Health Commissioner of the City of Baltimore Leana S. Wen and co-authors discuss why the United States needs Medicaid to address its epidemic of opioid abuse.