Social inequalities, debt, and health in the United States.

BACKGROUND: Household financial debt has more than tripled since the 1980s in the United States. The experience of indebtedness is socially structured and there is mounting evidence that debt is linked to decrements in health. However, it is unclear whether debt contributes to social disparities in health. OBJECTIVE: We examined whether household debt, measured by debt in excess of income and wealth, mediated education-based social inequalities in health, including cardiovascular risk factors (hypertension) and chronic conditions (diabetes, coronary heart disease, and psychiatric problems). METHOD: We used longitudinal data from a sample of over 10,500 adults aged 18 years and older surveyed biennially between 1999 and 2015 as part of the Panel Study of Income Dynamics (PSID). We estimated the total effect of education on our health outcomes. To assess mediation by levels of household debt, we then estimated the controlled direct effect of education through pathways not mediated by levels of household debt, after accounting for lagged time-varying confounders and loss to follow-up using marginal structural models. RESULTS: Compared to respondents with at least a high school education, respondents with less than a high school education reported higher household debts in excess of income and wealth; they also reported a higher incidence of hypertension [risk ratio (RR) = 1.25, 95%CI = 1.13, 1.39), coronary heart disease (RR = 1.42, 95%CI: 1.25, 1.62), diabetes (RR = 1.50, 95%CI: 1.34, 1.68), and psychiatric problems (RR = 1.39, 95%CI: 1.24, 1.56). Compared to the total effects, the controlled direct effects of education on health were attenuated, particularly for death or first onset of hypertension and coronary heart disease, after fixing levels of household debt-to-income and debt-to-wealth. CONCLUSION: Our results provide early evidence that household debt in excess of wealth partly mediates education-based inequalities in hypertension and coronary heart disease in the United States, with less consistent evidence for other chronic conditions.

Social and Behavior Change Communication Interventions Delivered Face-to-Face and by a Mobile Phone to Strengthen Vaccination Uptake and Improve Child Health in Rural India: Randomized Pilot Study.

BACKGROUND: In resource-poor settings, lack of awareness and low demand for services constitute important barriers to expanding the coverage of effective interventions. In India, childhood immunization is a priority health strategy with suboptimal uptake. OBJECTIVE: To assess study feasibility and key implementation outcomes for the Tika Vaani model, a new approach to educate and empower beneficiaries to improve immunization and child health. METHODS: A cluster-randomized pilot trial with a 1:1 allocation ratio was conducted in rural Uttar Pradesh, India, from January to September 2018. Villages were randomly assigned to either the intervention or control group. In each participating village, surveyors conducted a complete enumeration to identify eligible households and requested participation before randomization. Interventions were designed through formative research using a social marketing approach and delivered over 3 months using strategies adapted to disadvantaged populations: (1) mobile health (mHealth): entertaining educational audio capsules (edutainment) and voice immunization reminders via mobile phone and (2) face-to-face: community mobilization activities, including 3 small group meetings offered to each participant. The control group received usual services. The main outcomes were prespecified criteria for feasibility of the main study (recruitment, randomization, retention, contamination, and adoption). Secondary endpoints tested equity of coverage and changes in intermediate outcomes. Statistical methods included descriptive statistics to assess feasibility, penalized logistic regression and ordered logistic regression to assess coverage, and generalized estimating equation models to assess changes in intermediate outcomes. RESULTS: All villages consented to participate. Gaps in administrative data hampered recruitment; 14.0% (79/565) of recorded households were nonresident. Only 1.4% (8/565) of households did not consent. A total of 387 households (184 intervention and 203 control) with children aged 0 to 12 months in 26 villages (13 intervention and 13 control) were included and randomized. The end line survey occurred during the flood season; 17.6% (68/387) of the households were absent. Contamination was less than 1%. Participation in one or more interventions was 94.0% (173/184), 78.3% (144/184) for the face-to-face strategy, and 67.4% (124/184) for the mHealth strategy. Determinants including place of residence, mobile phone access, education, and female empowerment shaped intervention use; factors operated differently for face-to-face and mHealth strategies. For 11 of 13 intermediate outcomes, regression results showed significantly higher basic health knowledge among the intervention group, supporting hypothesized causal mechanisms. CONCLUSIONS: A future trial of a new intervention model is feasible. The interventions could strengthen the delivery of immunization and universal primary health care. Social and behavior change communication via mobile phones proved viable and contributed to standardization and scalability. Face-to-face interactions remain necessary to achieve equity and reach, suggesting the need for ongoing health system strengthening to accompany the introduction of communication technologies. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN) 44840759; https://doi.org/10.1186/ISRCTN44840759.

Effect of vaccination on children's learning achievements: findings from the India Human Development Survey.

BACKGROUND: Beyond the prevention of illness and death, vaccination may provide additional benefits such as improved educational outcomes. However, there is currently little evidence on this question. Our objective was to estimate the effect of childhood vaccination on learning achievements among primary school children in India. METHODS: We used cohort data from the India Human Development Survey. Vaccination status and confounders were measured among children who were at least 12 months old at baseline in 2004-2005. In 2011-2012, the same children completed basic reading, writing and math tests. We estimated the effect of full vaccination during childhood on learning achievements using inverse probability of treatment-weighted logistic regression models and results reported on the risk difference scale. The propensity score included 33 potential community-, household-, mother- and child-level confounders as well as state fixed effects. RESULTS: Among the 4877 children included in our analysis, 54% were fully vaccinated at baseline, and 54% could read by the age of 8-11 years. The estimated effect of full vaccination on learning achievements ranged from 4 to 6 percentage points, representing relative increases ranging from 6% to 12%. Bias analysis suggested that our observed effects could be explained by unmeasured confounding, but only in the case of strong associations with the treatment and outcome. CONCLUSION: These results support the hypothesis that vaccination has lasting effects on children's learning achievements. Further work is needed to confirm findings and elucidate the potential mechanisms linking vaccines to educational outcomes.

The Impact of Parental and Medical Leave Policies on Socioeconomic and Health Outcomes in OECD Countries: A Systematic Review of the Empirical Literature.

Policy Points: Historically, reforms that have increased the duration of job-protected paid parental leave have improved women's economic outcomes. By targeting the period around childbirth, access to paid parental leave also appears to reduce rates of infant mortality, with breastfeeding representing one potential mechanism. The provision of more generous paid leave entitlements in countries that offer unpaid or short durations of paid leave could help families strike a balance between the competing demands of earning income and attending to personal and family well-being. CONTEXT: Policies legislating paid leave from work for new parents, and to attend to individual and family illness, are common across Organisation for Economic Co-operation and Development (OECD) countries. However, there exists no comprehensive review of their potential impacts on economic, social, and health outcomes. METHODS: We conducted a systematic review of the peer-reviewed literature on paid leave and socioeconomic and health outcomes. We reviewed 5,538 abstracts and selected 85 published papers on the impact of parental leave policies, 22 papers on the impact of medical leave policies, and 2 papers that evaluated both types of policies. We synthesized the main findings through a narrative description; a meta-analysis was precluded by heterogeneity in policy attributes, policy changes, outcomes, and study designs. FINDINGS: We were able to draw several conclusions about the impact of parental leave policies. First, extensions in the duration of paid parental leave to between 6 and 12 months were accompanied by attendant increases in leave-taking and longer durations of leave. Second, there was little evidence that extending the duration of paid leave had negative employment or economic consequences. Third, unpaid leave does not appear to confer the same benefits as paid leave. Fourth, from a population health perspective, increases in paid parental leave were consistently associated with better infant and child health, particularly in terms of lower mortality rates. Fifth, paid paternal leave policies of adequate length and generosity have induced fathers to take additional time off from work following the birth of a child. How medical leave policies for personal or family illness influence health has not been widely studied. CONCLUSIONS: There is substantial quasi-experimental evidence to support expansions in the duration of job-protected paid parental leave as an instrument for supporting women's labor force participation, safeguarding women's incomes and earnings, and improving child survival. This has implications, in particular, for countries that offer shorter durations of job-protected paid leave or lack a national paid leave entitlement altogether.

The impact of eliminating primary school tuition fees on child marriage in sub-Saharan Africa: A quasi-experimental evaluation of policy changes in 8 countries.

BACKGROUND: Child marriage harms girls' health and hinders progress toward development goals. Randomized studies have shown that providing financial incentives for girls' education can effectively delay marriage, but larger-scale interventions are needed in light of slow progress toward curbing the practice. Many sub-Saharan African countries eliminated primary school tuition fees over the past two decades, resulting in massive increases in enrolment. We measured the effect of these policies on the probability of primary school completion and of marriage before 15 and 18 years of age. METHODS: We used Demographic and Health Surveys to assemble a dataset of women born between 1970 and 2000 in 16 countries. These data were merged with longitudinal information on the timing of tuition fee elimination in each country. We estimated the impact of fee removal using fixed effects regression to compare changes in the prevalence of child marriage over time between women who were exposed to tuition-free primary schooling and those who were not. RESULTS: The removal of tuition fees led to modest average declines in the prevalence of child marriage across all of the treated countries. However, there was substantial heterogeneity between countries. The prevalence of child marriage declined by 10-15 percentage points in Ethiopia and Rwanda following tuition elimination but we found no evidence that the removal of tuition fees had an impact on child marriage rates in Cameroon or Malawi. Reductions in child marriage were not consistently accompanied by increases in the probability of primary school completion. CONCLUSIONS: Eliminating tuition fees led to reductions in child marriage on a national scale in most countries despite challenges with implementation. Improving the quality of the education available may strengthen these effects and bolster progress toward numerous other public health goals.

Economic policy and the double burden of malnutrition: cross-national longitudinal analysis of minimum wage and women's underweight and obesity.

OBJECTIVE: To examine changes in minimum wage associated with changes in women's weight status. DESIGN: Longitudinal study of legislated minimum wage levels (per month, purchasing power parity-adjusted, 2011 constant US dollar values) linked to anthropometric and sociodemographic data from multiple Demographic and Health Surveys (2000-2014). Separate multilevel models estimated associations of a $10 increase in monthly minimum wage with the rate of change in underweight and obesity, conditioning on individual and country confounders. Post-estimation analysis computed predicted mean probabilities of being underweight or obese associated with higher levels of minimum wage at study start and end. SETTING: Twenty-four low-income countries. SUBJECTS: Adult non-pregnant women (n 150 796). RESULTS: Higher minimum wages were associated (OR; 95 % CI) with reduced underweight in women (0·986; 0·977, 0·995); a decrease that accelerated over time (P-interaction=0·025). Increasing minimum wage was associated with higher obesity (1·019; 1·008, 1·030), but did not alter the rate of increase in obesity prevalence (P-interaction=0·8). A $10 rise in monthly minimum wage was associated (prevalence difference; 95 % CI) with an average decrease of about 0·14 percentage points (-0·14; -0·23, -0·05) for underweight and an increase of about 0·1 percentage points (0·12; 0·04, 0·20) for obesity. CONCLUSIONS: The present longitudinal multi-country study showed that a $10 rise in monthly minimum wage significantly accelerated the decline in women's underweight prevalence, but had no association with the pace of growth in obesity prevalence. Thus, modest rises in minimum wage may be beneficial for addressing the protracted underweight problem in poor countries, especially South Asia and parts of Africa.

Child Marriage Laws around the World: Minimum Marriage Age, Legal Exceptions, and Gender Disparities.

The marriage of children below 18 is widely recognized in international human rights agreements as a discriminatory global practice that hinders the development and well-being of hundreds of millions of girls. Using a new global policy database, we analyze national legislation regarding minimum marriage age, exceptions permitting marriage at earlier ages, and gender disparities in laws. While our longitudinal data indicate improvements in frequencies of countries with legal provisions that prohibit marriage below the age of 18, important gaps remain in eliminating legal exceptions and gender discrimination.

Did the Great Recession affect mortality rates in the metropolitan United States? Effects on mortality by age, gender and cause of death.

OBJECTIVES: Mortality rates generally decline during economic recessions in high-income countries, however gaps remain in our understanding of the underlying mechanisms. This study estimates the impacts of increases in unemployment rates on both all-cause and cause-specific mortality across U.S. metropolitan regions during the Great Recession. METHODS: We estimate the effects of economic conditions during the recent and severe recessionary period on mortality, including differences by age and gender subgroups, using fixed effects regression models. We identify a plausibly causal effect by isolating the impacts of within-metropolitan area changes in unemployment rates and controlling for common temporal trends. We aggregated vital statistics, population, and unemployment data at the area-month-year-age-gender-race level, yielding 527,040 observations across 366 metropolitan areas, 2005-2010. RESULTS: We estimate that a one percentage point increase in the metropolitan area unemployment rate was associated with a decrease in all-cause mortality of 3.95 deaths per 100,000 person years (95%CI -6.80 to -1.10), or 0.5%. Estimated reductions in cardiovascular disease mortality contributed 60% of the overall effect and were more pronounced among women. Motor vehicle accident mortality declined with unemployment increases, especially for men and those under age 65, as did legal intervention and homicide mortality, particularly for men and adults ages 25-64. We find suggestive evidence that increases in metropolitan area unemployment increased accidental drug poisoning deaths for both men and women ages 25-64. CONCLUSIONS: Our finding that all-cause mortality decreased during the Great Recession is consistent with previous studies. Some categories of cause-specific mortality, notably cardiovascular disease, also follow this pattern, and are more pronounced for certain gender and age groups. Our study also suggests that the recent recession contributed to the growth in deaths from overdoses of prescription drugs in working-age adults in metropolitan areas. Additional research investigating the mechanisms underlying the health consequences of macroeconomic conditions is warranted.

Country-level predictors of vaccination coverage and inequalities in Gavi-supported countries.

BACKGROUND: Important inequalities in childhood vaccination coverage persist between countries and population groups. Understanding why some countries achieve higher and more equitable levels of coverage is crucial to redress these inequalities. In this study, we explored the country-level determinants of (1) coverage of the third dose of diphtheria-tetanus-pertussis- (DTP3) containing vaccine and (2) within-country inequalities in DTP3 coverage in 45 countries supported by Gavi, the Vaccine Alliance. METHODS: We used data from the most recent Demographic and Health Surveys (DHS) conducted between 2005 and 2014. We measured national DTP3 coverage and the slope index of inequality in DTP3 coverage with respect to household wealth, maternal education, and multidimensional poverty. We collated data on country health systems, health financing, governance and geographic and sociocultural contexts from published sources. We used meta-regressions to assess the relationship between these country-level factors and variations in DTP3 coverage and inequalities. To validate our findings, we repeated these analyses for coverage with measles-containing vaccine (MCV). RESULTS: We found considerable heterogeneity in DTP3 coverage and in the magnitude of inequalities across countries. Results for MCV were consistent with those from DTP3. Political stability, gender equality and smaller land surface were important predictors of higher and more equitable levels of DTP3 coverage. Inequalities in DTP3 coverage were also lower in countries receiving more external resources for health, with lower rates of out-of-pocket spending and with higher national coverage. Greater government spending on heath and lower linguistic fractionalization were also consistent with better vaccination outcomes. CONCLUSION: Improving vaccination coverage and reducing inequalities requires that policies and programs address critical social determinants of health including geographic and social exclusion, gender inequality and the availability of financial protection for health. Further research should investigate the mechanisms contributing to these associations.

An equity dashboard to monitor vaccination coverage.

Equity monitoring is a priority for Gavi, the Vaccine Alliance, and for those implementing The2030 agenda for sustainable development. For its new phase of operations, Gavi reassessed its approach to monitoring equity in vaccination coverage. To help inform this effort, we made a systematic analysis of inequalities in vaccination coverage across 45 Gavi-supported countries and compared results from different measurement approaches. Based on our findings, we formulated recommendations for Gavi's equity monitoring approach. The approach involved defining the vulnerable populations, choosing appropriate measures to quantify inequalities, and defining equity benchmarks that reflect the ambitions of the sustainable development agenda. In this article, we explain the rationale for the recommendations and for the development of an improved equity monitoring tool. Gavi's previous approach to measuring equity was the difference in vaccination coverage between a country's richest and poorest wealth quintiles. In addition to the wealth index, we recommend monitoring other dimensions of vulnerability (maternal education, place of residence, child sex and the multidimensional poverty index). For dimensions with multiple subgroups, measures of inequality that consider information on all subgroups should be used. We also recommend that both absolute and relative measures of inequality be tracked over time. Finally, we propose that equity benchmarks target complete elimination of inequalities. To facilitate equity monitoring, we recommend the use of a data display tool - the equity dashboard - to support decision-making in the sustainable development period. We highlight its key advantages using data from Côte d'Ivoire and Haiti.

Le suivi de l'équité est une priorité pour Gavi, l'Alliance du Vaccin et pour ceux qui mettent en œuvre le Programme de développement durable à l'horizon 2030. Dans le cadre de sa nouvelle phase d'opérations, Gavi a repensé son approche relative au suivi de l'équité en matière de couverture vaccinale. Afin de contribuer à cet effort, nous avons réalisé une analyse systématique des inégalités en matière de couverture vaccinale dans 45 pays soutenus par Gavi et comparé les résultats obtenus à partir de différentes méthodes de mesure. Nous nous sommes appuyés sur nos conclusions pour formuler des recommandations concernant l'approche adoptée par Gavi pour suivre l'équité. Cette approche impliquait de définir les populations vulnérables, de choisir des mesures appropriées pour quantifier les inégalités et d'établir des critères en matière d'équité qui reflètent les ambitions du programme de développement durable. Dans le présent article, nous expliquons la raison d'être de nos recommandations et le but de l'élaboration d'un meilleur outil de suivi de l'équité. L'approche précédemment utilisée par Gavi pour mesurer l'équité consistait à calculer la différence en matière de couverture vaccinale entre les quintiles de richesse les plus élevés et les plus bas d'un pays. Nous recommandons de suivre des dimensions de la vulnérabilité (éducation maternelle, lieu de résidence, sexe des enfants et indice de pauvreté multidimensionnelle) autres que l'indice de richesse. Lorsqu'une dimension inclut divers sous-groupes, il convient d'utiliser des mesures de l'inégalité prenant en compte les informations relatives à tous les sous-groupes. Nous conseillons également de suivre les mesures absolues mais aussi relatives d'inégalité au fil du temps. Enfin, nous suggérons que les critères en matière d'équité visent l'élimination complète des inégalités. Afin de faciliter le suivi de l'équité, nous recommandons l'utilisation d'un outil d'affichage de données ­ le tableau de bord de l'équité ­ pour favoriser la prise de décision dans le cadre du programme de développement durable. Nous mettons en avant les principaux avantages de cet outil à l'aide de données provenant de Côte d'Ivoire et d'Haïti.

La supervisión de la equidad es una prioridad para la Gavi, la Vaccine Alliance y para los que implementan la Agenda 2030 para el Desarrollo Sostenible. Para su nueva fase de operaciones, la Gavi reevaluó su enfoque para supervisar la equidad en la cobertura de vacunación. Para ayudar a informar este esfuerzo, se realizó un análisis sistemático de desigualdades en la cobertura de vacunación en 45 países apoyados por la Gavi y se compararon los resultados desde distintos enfoques de medición. En base a los resultados, se formularon recomendaciones para el enfoque de supervisión de equidad de la Gavi. El enfoque implicó la definición de las poblaciones vulnerables, la selección de las medidas adecuadas para cuantificar las desigualdades y la definición de las referencias de equidad que reflejan las ambiciones de la agencia de desarrollo sostenible. En este artículo, se explican los motivos de las recomendaciones y el desarrollo de una herramienta mejorada de supervisión de la equidad. El anterior enfoque de la Gavi para la medición de la equidad era la diferencia de la cobertura de vacunación entre los sectores demográficos más ricos y más pobres de un país. Además del índice patrimonial, se recomienda supervisar otras dimensiones de vulnerabilidad (educación de la madre, lugar de residencia, sexo de los niños y el índice de pobreza multidimensional). Para las dimensiones con múltiples subgrupos, deberían utilizarse medidas de desigualdad que tienen en cuenta información acerca de todos los subgrupos. También se recomienda que, con el paso del tiempo, se haga un seguimiento tanto de la medida de desigualdad absoluta como relativa. Por último, se propone que las referencias de equidad tengan como objetivo la eliminación completa de la desigualdad. Para facilitar la supervisión de la equidad, se recomienda utilizar una herramienta de indicación de datos (el tablero de equidad) para apoyar la toma de decisiones durante el periodo de desarrollo sostenible. Se destacan sus ventajas básicas utilizando datos de Côte d'Ivoire y de Haití.

Monitoring equity in vaccination coverage: A systematic analysis of demographic and health surveys from 45 Gavi-supported countries.

OBJECTIVES: (1) To conduct a systematic analysis of inequalities in childhood vaccination coverage in Gavi-supported countries; (2) to comparatively assess alternative measurement approaches and how they may affect cross-country comparisons of the level of inequalities. METHODS: Using the most recent Demographic and Health Surveys (2005-2014) in 45 Gavi-supported countries, we measured inequalities in vaccination coverage across seven dimensions of social stratification and of vulnerability to poor health outcomes. We quantified inequalities using pairwise comparisons (risk differences and ratios) and whole spectrum measures (slope and relative indices of inequality). To contrast measurement approaches, we pooled the estimates using random-effects meta-analyses, ranked countries by the magnitude of inequality and compared agreement in country ranks. RESULTS: At the aggregate level, maternal education, multidimensional poverty, and wealth index poverty were the dimensions associated with the largest inequalities. In 36 out of 45 countries, inequalities were substantial, with a difference in coverage of 10 percentage points or more between the top and bottom of at least one of these social dimensions. Important inequalities by child sex, child malnutrition and urban/rural residence were also found in a smaller set of countries. The magnitude of inequality and ranking of countries differed across dimension and depending on the measure used. Pairwise comparisons could not be estimated in certain countries. The slope and relative indices of inequality were estimated in all countries and produced more stable country rankings, and should thus facilitate more reliable international comparisons. CONCLUSIONS: Inequalities in vaccination coverage persist in a large majority of Gavi-supported countries. Inequalities should be monitored across multiple dimensions of vulnerability. Using whole spectrum measures to quantify inequality across multiple ordered social groups has important advantages. We illustrate these findings using an equity dashboard designed to support decision-making in the Sustainable Development Goals period.

Paid parental leave and family wellbeing in the sustainable development era.

BACKGROUND: The Sustainable development goals (SDGs) have the potential to have a significant impact on maternal and child health through their commitments both to directly addressing health services and to improving factors that form the foundation of social determinants of health. To achieve change at scale, national laws and policies have a critical role to play in implementing the SDGs' commitments. One particular policy that could advance a range of SDGs and importantly improve maternal and infant health is paid parental leave. METHODS: This article analyzes literature on paid leave and related policies relevant to SDG 1 (poverty), SDG 3 (health), SDG 5 (gender equality), SDG 8 (decent work), and SDG 10 (inequality). In addition, this article presents global data on the prevalence of policies in all 193 UN Member States. RESULTS: A review of the literature finds that paid parental leave may support improvements across a range of SDG outcomes relevant to maternal and child health. Across national income levels, paid leave has been associated with lower infant mortality and higher rates of immunizations. In high-income countries, studies have found that paid leave increases exclusive breastfeeding and may improve women's economic outcomes. However, factors including the duration of leave, the wage replacement rate, and whether leave is made available to both parents importantly shape the impacts of paid leave policies. While most countries now offer at least some paid maternal leave, many provide less than the 6 months recommended for exclusive breastfeeding, and only around half as many provide paternal leave. CONCLUSIONS: To accelerate progress on the SDGs' commitments to maternal and child health, we should monitor countries' actions on enacting or strengthening paid leave policies. Further research is needed on the duration, wage replacement rate, and availability of leave before and after birth that would best support both child and parental health outcomes and social determinants of health more broadly. In addition, further work is needed to understand the extent to which paid leave policies extend to the informal economy, where the majority of women and men in low- and middle-income countries work.

Health effects of 'Juntos', a conditional cash transfer programme in Peru.

In some countries, conditional cash transfer (CCT) programmes show an impact on maternal and child health. Juntos, the CCT programme in Peru, has been evaluated several times operationally, but seldom for maternal and child health outcomes. The objective of this study is to evaluate the impact of Juntos on children under 6 years, pregnant women and mothers of children under 17 years. Outcomes evaluated included (1) anaemia in women and children; (2) acute malnutrition in children; (3) post-partum complications in mothers; and (4) underweight and overweight in mothers. We identified Juntos eligible respondents from the Demographic and Health Surveys of Peru for years 2007 to 2013. Propensity score matching was used to identify comparable treatment and control groups, including eligible respondents enrolled in Juntos vs. those not enrolled in Juntos (individual-level analysis), as well as eligible respondents living in Juntos districts vs. those not residing in Juntos districts (district-level analysis). We then used generalized linear models to estimate prevalence ratios. Individual level analysis showed that Juntos reduced underweight in women (PR:0.39, 95%CI:0.18 - 0.85) and anaemia in children (PR:0.93, 95%CI:0.86 - 1.00). In the district level analysis, the programme was associated with a reduction of overweight in women (PR:0.94, 95%CI:0.90 - 0.98) and acute malnutrition in children (PR:0.49, 95%CI:0.32 - 0.73), but an increase in the prevalence of anaemia in children (PR:1.09, 95%CI:1.01 - 1.17). We found that Juntos had an effect on maternal and child health indicators, but further studies are required to overcome some limitations encountered here.

What explains gender inequalities in HIV/AIDS prevalence in sub-Saharan Africa? Evidence from the demographic and health surveys.

BACKGROUND: Women are disproportionally affected by human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) in sub-Saharan Africa (SSA). The determinants of gender inequality in HIV/AIDS may vary across countries and require country-specific interventions to address them. This study aimed to identify the socio-demographic and behavioral characteristics underlying gender inequalities in HIV/AIDS in 21 SSA countries. METHODS: We applied an extension of the Blinder-Oaxaca decomposition approach to data from Demographic and Health Surveys and AIDS Indicator Surveys to quantify the differences in HIV/AIDS prevalence between women and men attributable to socio-demographic factors, sexual behaviours, and awareness of HIV/AIDS. We decomposed gender inequalities into two components: the percentage attributable to different levels of the risk factors between women and men (the "composition effect") and the percentage attributable to risk factors having differential effects on HIV/AIDS prevalence in women and men (the "response effect"). RESULTS: Descriptive analyses showed that the difference between women and men in HIV/AIDS prevalence varied from a low of 0.68 % (P = 0.008) in Liberia to a high of 11.5 % (P < 0.001) in Swaziland. The decomposition analysis showed that 84 % (P < 0.001) and 92 % (P < 0.001) of the higher prevalence of HIV/AIDS among women in Uganda and Ghana, respectively, was explained by the different distributions of HIV/AIDS risk factors, particularly age at first sex between women and men. In the majority of countries, however, observed gender inequalities in HIV/AIDS were chiefly explained by differences in the responses to risk factors; the differential effects of age, marital status and occupation on prevalence of HIV/AIDS for women and men were among the significant contributors to this component. In Cameroon, Guinea, Malawi and Swaziland, a combination of the composition and response effects explained gender inequalities in HIV/AIDS prevalence. CONCLUSIONS: The factors that explain gender inequality in HIV/AIDS in SSA vary by country, suggesting that country-specific interventions are needed. Unmeasured factors also contributed substantially to the difference in HIV/AIDS prevalence between women and men, highlighting the need for further study.

The socioeconomic gradient of secondhand smoke exposure in children: evidence from 26 low-income and middle-income countries.

OBJECTIVE: To provide the first analysis of socioeconomic inequalities in children's daily exposure to indoor smoking in households in 26 low-income and middle-income countries (LMICs). METHODS: We used nationally representative household samples (n=369 654) collected through the Demographic Health Surveys between 2010 and 2014 to calculate daily exposure to secondhand smoke (ESHS) among children aged 0-5 years. The relative and absolute concentration (RC and AC) indices were used to quantify wealth-based inequalities in daily ESHS in each country and in urban and rural areas in each country. We decomposed total socioeconomic inequalities in ESHS into within-group and between-group (rural-urban) inequalities to identify the sources of wealth-based inequality in ESHS in LMICs. FINDINGS: We observed substantial variation across countries in the prevalence of daily ESHS among children. Children's ESHS was higher in rural areas compared to urban areas in the majority of the countries. The RC and AC demonstrated that daily ESHS was concentrated among poorer children in almost all countries (RC, median=-0.179, IQR=0.186 and AC, median=-0.040, IQR=0.055). The concentration of ESHS among poorer children was greater in urban relative to rural areas. The decomposition of the overall socioeconomic inequality in daily ESHS revealed that wealth-based differences in ESHS within urban and rural areas were the main contributor to socioeconomic inequalities in most countries (median=46%, IQR=32%). CONCLUSIONS: Special attention should be given to reduce ESHS among children from rural and socioeconomically disadvantaged households as social inequalities in ESHS might contribute to social inequalities in health over the life course.

The effect of an affordable daycare program on health and economic well-being in Rajasthan, India: protocol for a cluster-randomized impact evaluation study.

BACKGROUND: The provision of affordable and reliable daycare services is a potentially important policy lever for empowering Indian women. Access to daycare might reduce barriers to labor force entry and generate economic opportunities for women, improve education for girls caring for younger siblings, and promote nutrition and learning among children. However, empirical evidence concerning the effects of daycare programs in low-and-middle-income countries is scarce. This cluster-randomized trial will estimate the effect of a community-based daycare program on health and economic well-being over the life-course among women and children living in rural Rajasthan, India. METHODS: This three-year study takes place in rural communities from five blocks in the Udaipur District of rural Rajasthan. The intervention is the introduction of a full-time, affordable, community-based daycare program. At baseline, 3177 mothers with age eligible children living in 160 village hamlets were surveyed. After the baseline, these hamlets were randomized to the intervention or control groups and respondents will be interviewed on two more occasions. Primary social and economic outcomes include women's economic status and economic opportunity, women's empowerment, and children's educational attainment. Primary health outcomes include women's mental health, as well as children's nutritional status. DISCUSSION: This interdisciplinary research initiative will provide rigorous evidence concerning the effects of daycare in lower-income settings. In doing so it will address an important research gap and has the potential to inform policies for improving the daycare system in India in ways that promote health and economic well-being. TRIAL REGISTRATION: (1) The ISRCTN clinical trial registry (ISRCTN45369145), http://www.isrctn.com/ISRCTN45369145 , registered on May 16, 2016 and (2) The American Economic Association's registry for randomized controlled trials (AEARCTR-0000774), http://www.socialscienceregistry.org/trials/774 , registered on July 15, 2015.

The effect of metropolitan-area mortgage delinquency on health behaviors, access to health services, and self-rated health in the United States, 2003-2010.

The recent housing crisis offers the opportunity to understand the effects of unique indicators of macroeconomic conditions on health. We linked data on the proportion of mortgage borrowers per US metropolitan-area who were at least 90 days delinquent on their payments with individual-level outcomes from a representative sample of 1,021,341 adults surveyed through the Behavioral Risk Factor Surveillance System (BRFSS) between 2003 and 2010. We estimated the effects of metropolitan-area mortgage delinquency on individual health behaviors, medical coverage, and health status, as well as whether effects varied by race/ethnicity. Results showed that increases in the metropolitan-area delinquency rate resulted in decreases in heavy alcohol consumption and increases in exercise and health insurance coverage. However, the delinquency rate was also associated with increases in smoking and obesity in some population groups, suggesting the housing crisis may have induced stress-related behavioral change. Overall, the effects of metropolitan-area mortgage delinquency on population health were relatively modest.

Do minimum wages improve early life health? Evidence from developing countries.

The impact of legislated minimum wages on the early-life health of children living in low and middle-income countries has not been examined. For our analyses, we used data from the Demographic and Household Surveys (DHS) from 57 countries conducted between 1999 and 2013. Our analyses focus on height-for-age z scores (HAZ) for children under 5 years of age who were surveyed as part of the DHS. To identify the causal effect of minimum wages, we utilized plausibly exogenous variation in the legislated minimum wages during each child's year of birth, the identifying assumption being that mothers do not time their births around changes in the minimum wage. As a sensitivity exercise, we also made within family comparisons (mother fixed effect models). Our final analysis on 49 countries reveal that a 1% increase in minimum wages was associated with 0.1% (95% CI = -0.2, 0) decrease in HAZ scores. Adverse effects of an increase in the minimum wage were observed among girls and for children of fathers who were less than 35 years old, mothers aged 20-29, parents who were married, parents who were less educated, and parents involved in manual work. We also explored heterogeneity by region and GDP per capita at baseline (1999). Adverse effects were concentrated in lower-income countries and were most pronounced in South Asia. By contrast, increases in the minimum wage improved children's HAZ in Latin America, and among children of parents working in a skilled sector. Our findings are inconsistent with the hypothesis that increases in the minimum wage unconditionally improve child health in lower-income countries, and highlight heterogeneity in the impact of minimum wages around the globe. Future work should involve country and occupation specific studies which can explore not only different outcomes such as infant mortality rates, but also explore the role of parental investments in shaping these effects.