Income inequalities beyond access to mental health care: a Dutch nationwide record-linkage cohort study of baseline disease severity, treatment intensity, and mental health outcomes.

BACKGROUND: Existing literature shows low and unequal access to mental health treatment globally, resulting in policy efforts to promote access for vulnerable groups. Yet, there is little evidence about how inequalities develop once individuals start treatment. The greater use of mental health care among individuals with low income, such as in the Dutch system, might be driven by differences in need and might not necessarily lead to better treatment outcomes. In this study, we aimed to examine income inequalities in four stages of the mental health treatment pathway while adjusting for need. METHODS: We constructed a nationwide retrospective cohort study, examining all patients aged older than 18 years with a first specialist mental health treatment record in the Netherlands between 2011 and 2016, excluding those who did not receive any treatment minutes. We linked patient-level data from treatment records to administrative data on income, demographics from municipal registries, and health insurance claims. We used multivariate models to estimate adjusted associations between household income quintile (standardised for household size) and outcomes characterising four stages of mental health treatment: severity at baseline assessment based on the Global Assessment of Functioning (GAF) score, treatment minutes received, functional improvement by the end of the initial record, and additional treatment in a subsequent record. Estimates were adjusted for patient need (97 categories of primary diagnosis and severity at baseline assessment measured by GAF) and demographic covariates. FINDINGS: Our study population consisted of 951 530 adults with a first specialist mental health treatment record in the Netherlands between Jan 1, 2011, and Dec 31, 2016. Patients in our cohort were on average aged 45·0 years (range 19-107) and mostly female (529 859 [55·7%] women and 421 671 [44·3%] men; no ethnicity data were available). First, we found that patients with the lowest income had the greatest initial therapist-assessed disease severity (5·545 GAF points), which was 0·353 GAF points (95% CI 0·347-0·360) lower than those in the highest income quintile. Second, we found that the negative association between income and treatment minutes was reversed once we adjusted for diagnosis and severity at baseline, with patients with the lowest income receiving 1·8% fewer treatment minutes (95% CI 1·1-2·4) than those in the highest quintile. Third, those in the highest income quintile were 17·3 percentage points (95% CI 17·0-17·6) more likely to have functional improvements by the end of the initial record, compared with 25·8% of patients with an improvement in the lowest income quintile. Fourth, while 35·7% of patients in the lowest income quintile received additional treatment in a subsequent record, this was only 3·0 percentage points (95% CI 2·7-3·3) lower for those in the highest quintile. None of these patterns were explained by diagnosis, severity at baseline, or treatment minutes received. INTERPRETATION: Disparities favourable to patients with a higher income persist through the different stages of mental health treatment. These differences highlight the limitations of solely focusing on improving access to care to reduce the mental health gap. Our findings call for a better understanding of the role of social environment and quality of care as complementary mechanisms explaining inequalities during mental health treatment. FUNDING: Erasmus Initiative Smarter Choices for Better Health (Erasmus University Rotterdam), European Union's Horizon 2020, and Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Dutch Research Council). TRANSLATION: For the Dutch translation of the abstract see Supplementary Materials section.

Pension exposure and health: Evidence from a longitudinal study in South Africa.

Social protection schemes have been expanding around the world with the objective of protecting older persons during retirement. While theoretically they have been seen as tools to improve individual wellbeing, there are few studies that evaluate whether social pensions can improve health. In this study, we exploit the change in eligibility criteria for the South African Old Age grant to estimate the association between pension exposure eligibility and health of older persons. For this, we use data from the Health and Aging in Africa: A longitudinal Study of an INDEPTH Community in South Africa (HAALSI) and model pension exposure in terms of its cumulative effect. Our results show that pension exposure is associated with better health as measured by a set of health indices. Disentangling these effects, we find that pension exposure is most likely to improve health through the delayed onset of physical disabilities in the elderly population. Our study highlights the relevance of social protection schemes as a mechanism to protect older persons physical health.

Patient cost-sharing, mental health care and inequalities: A population-based natural experiment at the transition to adulthood.

BACKGROUND: Patient cost-sharing has been increasing around the world, despite the evidence that it reduces both unnecessary and necessary health care utilisation. Financial barriers could compound to poor transitional care into adulthood, when forgoing mental health treatment may have long-term consequences on health and development. We evaluate the impact of increasing deductibles on mental health care use by young adults, and the heterogeneous effects for vulnerable groups. METHODS: We use individual administrative records for 1,541,210 individuals between 17 and 19 years of age, living in the Netherlands. We implement a difference-in-discontinuity design that exploits an increase in the deductible of about 180 euros, between 2009 and 2014, and the deductible exemption for those below 18 years old. Finally, we study subgroup effects by household income, level of mental health care expenditure and medication use for mental disorders. RESULTS: Our results show that increasing deductibles reduced the probability of mental health care use at the transition to adulthood by 13.6% for females (-13.6%, CI 95%: -22.1%, -5.2%), and by 5.3% for males (-5.3%, CI 95%: -11.8%, 1.2%). The reduction was larger among females in the lowest (-18.9%, CI 95%: -35.4%, -2.3%) and second lowest (-21.3%, CI 95%: -36.7%, -5.9%) income quartiles. Additionally, we find increased treatment cessation in high deductible years to happen across all levels of mental health care need. CONCLUSIONS: Our findings indicate that cost-sharing is compounding to existing disruptions in care at the transition between children/adolescent and adult services. The larger reductions in mental health care use among low-income females uncover the role of the deductible increase in widening mental health care inequalities. Increased treatment cessation even among high-intensity users suggests potential long-term consequences for individuals, the health system, and society.

Examining the density in out-of-pocket spending share in the estimation of catastrophic health expenditures.

Universal health coverage (UHC) aims to provide access to health services for all without financial hardship. Moving toward UHC while ensuring financial risk protection (FRP) from out-of-pocket (OOP) health expenditures is a critical objective of the Sustainable Development Goal for Health. In tracking country progress toward UHC, analysts and policymakers usually report on two summary indicators of lack of FRP: the prevalence of catastrophic health expenditures (CHE) and the prevalence of impoverishing health expenditures. In this paper, we build on the CHE indicator: we examine the distribution (density) of health OOP budget share as a way to capture both the magnitude and dispersion in the ratio of households' OOP health expenditures relative to consumption or income at the population level. We illustrate our approach with country-specific examples using data from the World Health Organization's World Health Surveys.

Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018.

Although there is a large gap between Black and White American life expectancies, the gap fell 48.9% between 1990 and 2018, mainly due to mortality declines among Black Americans. We examine age-specific mortality trends and racial gaps in life expectancy in high- and low-income US areas and with reference to six European countries. Inequalities in life expectancy are starker in the United States than in Europe. In 1990, White Americans and Europeans in high-income areas had similar overall life expectancy, while life expectancy for White Americans in low-income areas was lower. However, since then, even high-income White Americans have lost ground relative to Europeans. Meanwhile, the gap in life expectancy between Black Americans and Europeans decreased by 8.3%. Black American life expectancy increased more than White American life expectancy in all US areas, but improvements in lower-income areas had the greatest impact on the racial life expectancy gap. The causes that contributed the most to Black Americans' mortality reductions included cancer, homicide, HIV, and causes originating in the fetal or infant period. Life expectancy for both Black and White Americans plateaued or slightly declined after 2012, but this stalling was most evident among Black Americans even prior to the COVID-19 pandemic. If improvements had continued at the 1990 to 2012 rate, the racial gap in life expectancy would have closed by 2036. European life expectancy also stalled after 2014. Still, the comparison with Europe suggests that mortality rates of both Black and White Americans could fall much further across all ages and in both high-income and low-income areas.

Effects of changes in early retirement policies on labor force participation: the differential effects for vulnerable groups.

Objectives This study investigated the effects of a national early retirement reform, which was implemented in 2006 and penalized early retirement, on paid employment and different exit pathways and examined whether these effects differ by gender, income level and health status. Methods This study included all Dutch individuals in paid employment born six months before (control group) and six months after (intervention group) the cut-off date of the reform (1 January 1950) that fiscally penalized early retirement. A regression discontinuity design combined with restricted mean survival time analysis was applied to evaluate the effect of penalizing early retirement on labor force participation from age 60 until workers reached the retirement age of 65 years, while accounting for secular trends around the threshold. Results The intervention group postponed early retirement by 7.41 months [95% confidence interval (CI) 6.11-8.72], and partly replaced this by remaining 4.87 months (95% CI 3.60-6.24) longer in paid employment. Workers born after the threshold, annually earning €25 000-40 000, spent 1.24 months (95% CI 0.31-2.18) more in economic inactivity than those born before. The working months lost to unemployment increased by 1.50 months (95% CI 0.30-2.71) for female workers and 1.99 months (95% CI 0.06-3.92) for workers reporting multiple chronic diseases. Conclusions The national reform successfully prolonged working lives of older workers. However, workers with a middle income, female workers, and workers with chronic diseases were more vulnerable to premature exit from the labor market through unemployment or being without any income or benefit.

Educational inequalities in disability linked to social security coverage among older individuals in five Latin American countries.

Although Latin American populations are ageing rapidly, many countries have important shortcomings in terms of access to social security coverage. Despite significant improvements regarding access to healthcare, the coverage gap in terms of pensions represents a major challenge for public health and equity in the region. The principal aim of this study was to systematically assess the association between social security coverage and disability among older individuals in five Latin American countries, as well as the extent of existing inequalities and its determinants. To do so we use cross-sectional and comparative data for individuals aged 60 and older in Chile, Colombia, El Salvador, Paraguay and Uruguay from the Longitudinal Social Protection Survey (ELPS). We used multivariate regression to assess the association between disability and healthcare as well as pension coverage. Concentration indices (CI) and an Oaxaca-Blinder decomposition approach were used to assess overall inequalities in disability according to education as well as their components. With the exception of El Salvador, we find significant inequalities in disability disfavoring lower educated individuals. With regards to healthcare, we find no significant association of healthcare coverage with disability in any of the five countries, nor does it explain educational inequalities in disability. However, pension access was associated with lower risks of disability in Chile, Colombia, Paraguay and Uruguay, and explains a substantial share of educational inequality in Chile, Colombia and Paraguay. Whereas significant changes have already been made regarding universal healthcare coverage, the results suggest that expanding access to pensions may not only lead to improvements in health among older individuals in the region, but also substantially reduce socio-economic inequalities in health and successful ageing.

The effect of old-age pensions on health care utilization patterns and insurance uptake in Mexico.

INTRODUCTION: As old-age pensions continue to expand around the world in response to population ageing, policymakers increasingly wish to understand their impact on healthcare demand. In this paper, we examine the effects of supplemental income to older adults on healthcare use patterns, expenditures and insurance uptake in Yucatan, Mexico. METHOD: We use a longitudinal survey for individuals aged 70 or older and an individual fixed-effects difference-in-difference approach to understand the effect of an income supplement on healthcare use patterns, out-of-pocket expenditures and health insurance uptake patterns. RESULTS: The implementation of the old-age pension was associated with increased use of healthcare with nuanced effects on the type of care. Old-age pensions increase the use of formal healthcare by 15 percentage points (95% CI 6.1 to 23.9) for those with healthcare use at baseline and by 7.5 percentage points (95% CI 3.7 to 11.3) for those without healthcare use at baseline. We find no evidence of greater out-of-pocket expenditures, likely because old-age pensions were associated with a 4.2 percentage point (95% CI 1.5 to 6.9) increase in use of public health insurance. CONCLUSION: Old-age pensions can shift healthcare demand towards formal services and eliminate financial barriers to basic care. Pension benefits can also increase the uptake of insurance programmes. These results demonstrate how social programmes can complement each other This highlights the potential role of old-age pensions in achieving universal health coverage for individuals at older ages.

Health Inequalities in the South African elderly: The Importance of the Measure of Social-Economic Status.

A common approach when studying inequalities in health is to use a wealth index based on household durable goods as a proxy for socio-economic status. We test this approach for elderly health using data from an aging survey in a rural area of South Africa and find much steeper gradients for health with consumption adjusted for household size than with the wealth index. These results highlight the importance of the measure of socioeconomic status used when measuring health gradients, and the need for direct measures of household consumption or income in ageing studies.

Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa.

OBJECTIVES: To investigate the associations between household wealth, household consumption, and chronic disease risk behaviors among older adults in rural South Africa. METHODS: Data were from baseline assessments of 5059 adults aged ≥ 40 in the population-based "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" in 2015. Confounder-adjusted prevalence ratios were estimated for the associations between each of household wealth and household consumption quintiles with low moderate-to-vigorous physical activity (MVPA), current smoking, frequent alcohol intake, and overweight/obese body mass index (BMI). RESULTS: Low MVPA and overweight/obese BMI were common (57% and 58%, respectively), and linearly increased in prevalence across household wealth quintiles. Low MVPA decreased and overweight/obese BMI increased in prevalence across household consumption quintiles. Smoking and frequent alcohol intake were rare (9% and 6%, respectively); they decreased in prevalence across wealth quintiles, but did not vary by consumption quintile. CONCLUSIONS: Chronic disease risk behaviors are socioeconomically graded among older, rural South African adults. The high prevalence of overweight and obesity in rural South Africa is a public health concern requiring urgent attention.

Estimating the distribution of morbidity and mortality of childhood diarrhea, measles, and pneumonia by wealth group in low- and middle-income countries.

BACKGROUND: Equitable access to vaccines has been suggested as a priority for low- and middle-income countries (LMICs). However, it is unclear whether providing equitable access is enough to ensure health equity. Furthermore, disaggregated data on health outcomes and benefits gained across population subgroups are often unavailable. This paper develops a model to estimate the distribution of childhood disease cases and deaths across socioeconomic groups, and the potential benefits of three vaccine programs in LMICs. METHODS: For each country and for three diseases (diarrhea, measles, pneumonia), we estimated the distributions of cases and deaths that would occur across wealth quintiles in the absence of any immunization or treatment programs, using both the prevalence and relative risk of a set of risk and prognostic factors. Building on these baseline estimates, we examined what might be the impact of three vaccines (first dose of measles, pneumococcal conjugate, and rotavirus vaccines), under five scenarios based on different sets of quintile-specific immunization coverage and disease treatment utilization rates. RESULTS: Due to higher prevalence of risk factors among the poor, disproportionately more disease cases and deaths would occur among the two lowest wealth quintiles for all three diseases when vaccines or treatment are unavailable. Country-specific context, including how the baseline risks, immunization coverage, and treatment utilization are currently distributed across quintiles, affects how different policies translate into changes in cases and deaths distribution. CONCLUSIONS: Our study highlights several factors that would substantially contribute to the unequal distribution of childhood diseases, and finds that merely ensuring equal access to vaccines will not reduce the health outcomes gap across wealth quintiles. Such information can inform policies and planning of programs that aim to improve equitable delivery of healthcare services.

Measuring health and economic wellbeing in the Sustainable Development Goals era: development of a poverty-free life expectancy metric and estimates for 90 countries.

BACKGROUND: The Sustainable Development Goals (SDGs), adopted in September, 2015, emphasise the link between health and economic development policies. Despite this link, and the multitude of targets and indicators in the SDGs and other initiatives, few monitoring tools explicitly incorporate measures of both health and economic status. Here we propose poverty-free life expectancy (PFLE) as a new metric that uses widely available data to provide a composite measure of population health and economic wellbeing. METHODS: We developed a population-level measure of PFLE and computed this summary measure for 90 countries with available data. Specifically, we used Sullivan's method, as in many health expectancy measures, to incorporate the prevalence of poverty by age and sex from household economic surveys into demographic life tables based on mortality rates from the 2015 Global Burden of Disease Study (GBD). For comparison, we also recalculated all PFLE measures using life tables from WHO and the UN. PFLE estimates for each country, stratified by sex, are the average number of poverty-free years a person could expect to live if exposed to current mortality rates and poverty prevalence in that country. FINDINGS: The average PFLE in the 90 countries included in this study was 66·0 years (95% uncertainty interval [UI] 64·5-67·3) for females and 61·6 years (60·1-62·9) for males, whereas life expectancy estimates were 76·3 years (95% UI 74·0-78·2) for females and 71·0 years (68·7-73·0) for males. PFLE varied widely between countries, ranging from 9·9 years (95% UI 9·1-10·5) for both sexes combined in Malawi, to 83·2 years (83·0-83·5) in Iceland, the latter differing only marginally from life expectancy in that country. In 67 of 90 countries, the difference between life expectancy and PFLE was greater for females than for males, indicating that women generally live more years of life in poverty than men do. Results were consistent when using GBD, WHO, or UN life tables. INTERPRETATION: Differences in PFLE between countries are substantially greater than differences in life expectancy. Despite general improvements in survival in most regions of the world in the past decades, the focus in the SDG era on ending poverty brings into sharp relief the importance of ensuring that years of added life are lived with at least a minimum standard of economic wellbeing. Although summary measures of population health provide overall measures of survivorship and functional health, our new measure of PFLE provides complementary information that can inform and benchmark policies seeking to improve both health and economic wellbeing. FUNDING: None.

Poverty reduction and equity benefits of introducing or scaling up measles, rotavirus and pneumococcal vaccines in low-income and middle-income countries: a modelling study.

INTRODUCTION: Beyond their impact on health, vaccines can lead to large economic benefits. While most economic evaluations of vaccines have focused on the health impact of vaccines at a national scale, it is critical to understand how their impact is distributed along population subgroups. METHODS: We build a financial risk protection model to evaluate the impact of immunisation against measles, severe pneumococcal disease and severe rotavirus for birth cohorts vaccinated over 2016-2030 for three scenarios in 41 Gavi-eligible countries: no immunisation, current immunisation coverage forecasts and the current immunisation coverage enhanced with funding support. We distribute modelled disease cases per socioeconomic group and derive the number of cases of: (1) catastrophic health costs (CHCs) and (2) medical impoverishment. RESULTS: In the absence of any vaccine coverage, the number of CHC cases attributable to measles, severe pneumococcal disease and severe rotavirus would be approximately 18.9 million, 6.6 million and 2.2 million, respectively. Expanding vaccine coverage would reduce this number by up to 90%, 30% and 40% in each case. More importantly, we find a higher share of CHC incidence among the poorest quintiles who consequently benefit more from vaccine expansion. CONCLUSION: Our findings contribute to the understanding of how vaccines can have a broad economic impact. In particular, we find that immunisation programmes can reduce the proportion of households facing catastrophic payments from out-of-pocket health expenses, mainly in lower socioeconomic groups. Thus, vaccines could have an important role in poverty reduction.

The Equity Impact Vaccines May Have On Averting Deaths And Medical Impoverishment In Developing Countries.

With social policies increasingly directed toward enhancing equity through health programs, it is important that methods for estimating the health and economic benefits of these programs by subpopulation be developed, to assess both equity concerns and the programs' total impact. We estimated the differential health impact (measured as the number of deaths averted) and household economic impact (measured as the number of cases of medical impoverishment averted) of ten antigens and their corresponding vaccines across income quintiles for forty-one low- and middle-income countries. Our analysis indicated that benefits across these vaccines would accrue predominantly in the lowest income quintiles. Policy makers should be informed about the large health and economic distributional impact that vaccines could have, and they should view vaccination policies as potentially important channels for improving health equity. Our results provide insight into the distribution of vaccine-preventable diseases and the health benefits associated with their prevention.

Economic Downturns, Retirement and Long-Term Cognitive Function Among Older Americans.

Objective: Workers approaching retirement may be particularly vulnerable to economic downturns. This study assesses whether exposure to economic downturns around retirement age leads to poorer cognitive function in later life. Method: Longitudinal data for 13,577 individuals in the Health and Retirement Study were linked to unemployment rates in state of residence. Random- and fixed-effect models were used to examine whether downturns at 55-64 years of age were associated with cognitive functioning levels and decline at ≥65 years, measured by the Wechsler Adult Intelligence Scale-Revised. Results: Longer exposure to downturns at 55-64 years of age was associated with lower levels of cognitive function at ≥65 years. Compared to individuals experiencing only up to 1 year in a downturn at 55-64 years of age, individuals experiencing two downturns at these ages had 0.09 point (95% Confidence Interval [CI, -0.17, -0.02]) lower cognitive functioning scores at ≥65 years (3 years: b = -0.17, 95%CI [-0.29, -0.06]; 4 years: b = -0.14, 95%CI [-0.25, -0.02]; ≥5 years: b = -0.22, 95%CI [-0.38, -0.06]). Downturns at 55-64 years of age were not associated with rates of cognitive decline. Discussion: Exposure to downturns around retirement is associated with a long-lasting decline in cognitive function in later life. Policies mitigating the impact of downturns on older workers may help to maintain cognitive function in later life.

Catastrophic costs potentially averted by tuberculosis control in India and South Africa: a modelling study.

BACKGROUND: The economic burden on households affected by tuberculosis through costs to patients can be catastrophic. WHO's End TB Strategy recognises and aims to eliminate these potentially devastating economic effects. We assessed whether aggressive expansion of tuberculosis services might reduce catastrophic costs. METHODS: We estimated the reduction in tuberculosis-related catastrophic costs with an aggressive expansion of tuberculosis services in India and South Africa from 2016 to 2035, in line with the End TB Strategy. Using modelled incidence and mortality for tuberculosis and patient-incurred cost estimates, we investigated three intervention scenarios: improved treatment of drug-sensitive tuberculosis; improved treatment of multidrug-resistant tuberculosis; and expansion of access to tuberculosis care through intensified case finding (South Africa only). We defined tuberculosis-related catastrophic costs as the sum of direct medical, direct non-medical, and indirect costs to patients exceeding 20% of total annual household income. Intervention effects were quantified as changes in the number of households incurring catastrophic costs and were assessed by quintiles of household income. FINDINGS: In India and South Africa, improvements in treatment for drug-sensitive and multidrug-resistant tuberculosis could reduce the number of households incurring tuberculosis-related catastrophic costs by 6-19%. The benefits would be greatest for the poorest households. In South Africa, expanded access to care could decrease household tuberculosis-related catastrophic costs by 5-20%, but gains would be seen largely after 5-10 years. INTERPRETATION: Aggressive expansion of tuberculosis services in India and South Africa could lessen, although not eliminate, the catastrophic financial burden on affected households. FUNDING: Bill & Melinda Gates Foundation.

Job loss, wealth and depression during the Great Recession in the USA and Europe.

AIM: To examine whether late-career job loss increased depression among older workers approaching retirement in the USA and Europe. METHODS: Longitudinal data came from the Health and Retirement Survey and the Survey of Health, Ageing, and Retirement in Europe. Workers aged 50 to 64 years in 13 European countries and the USA were assessed biennially from 2006 to 2010. Individual fixed effects models were used to test the effect of job loss on depressive symptoms, controlling for age, sex, physical health, initial wealth and socio-demographic factors. RESULTS: Job loss was associated with a 4.78% [95% confidence interval (CI): 0.823% to 8.74%] increase in depressive symptoms in the USA compared with a 3.35% (95% CI: 0.486% to 6.22%) increase in Europe. Job loss due to a worker's unexpected firm closure increased depression scores in both the USA (beta=28.2%, 95% CI: 8.55% to 47.8%) and Europe (beta=7.50%, 95% CI: 1.25% to 13.70%), but pooled models suggested significantly stronger effects for US workers (P<0.001). American workers who were poorer before the recession experienced significantly larger increases in depressive symptoms compared with wealthier US workers (beta for interaction=-0.054, 95% CI: -0.082 to -0.025), whereas pre-existing wealth did not moderate the impact of job loss among European workers. CONCLUSIONS: Job loss is associated with increased depressive symptoms in the USA and Europe, but effects of job loss due to plant closure are stronger for American workers. Wealth mitigates the impact of job loss on depression in the USA more than in Europe.

Social capital, mental health and biomarkers in Chile: assessing the effects of social capital in a middle-income country.

In high-income countries, higher social capital is associated with better health. However, there is little evidence of this association in low- and middle-income countries. We examine the association between social capital (social support and trust) and both self-rated and biologically assessed health outcomes in Chile, a middle-income country that experienced a major political transformation and welfare state expansion in the last two decades. Based on data from the Chilean National Health Survey (2009-10), we modeled self-rated health, depression, measured diabetes and hypertension as a function of social capital indicators, controlling for socio-economic status and health behavior. We used an instrumental variable approach to examine whether social capital was causally associated with health. We find that correlations between social capital and health observed in high-income countries are also observed in Chile. All social capital indicators are significantly associated with depression at all ages, and at least one social capital indicator is associated with self-rated health, hypertension and diabetes at ages 45 and above. Instrumental variable models suggest that associations for depression may reflect a causal effect from social capital indicators on mental well-being. Using aggregate social capital as instrument, we also find evidence that social capital may be causally associated with hypertension and diabetes, early markers of cardiovascular risk. Our findings highlight the potential role of social capital in the prevention of depression and early cardiovascular disease in middle-income countries.