Social determinants of health in India: progress and inequities across states

Cross-sectional evaluation of the multidimensional indicators of psychosocial functioning and its sociodemographic correlates among Indian adults: WHO SAGE Study (2007-2010)

This study examined the relationship between sociodemographic characteristics and psychosocial functioning (PF) among Indian adults. Data (N = 11,230) for this study came from the World Health Organization's SAGE (Longitudinal Study of Global Aging and Adult Health) Wave 1 2007-2010. First, multivariable regression analyses (logistic or linear regression depending on the outcome variable) were run to evaluate whether PF indicators varied by gender after controlling other sociodemographic characteristics. Next, the relationship between sociodemographic characteristics and PF indicators was examined using ordinary least square regression (OLS) models and logistic regression models, separately for men and women. Specifically, the PF indicators, including social indicators of interpersonal relationship difficulty, social connectedness, and personal indicators of sleep, affect, perceived quality of life, and cognition were each regressed on sociodemographic factors. All analyses in the study were cross-sectional in nature and conducted using STATA version 15.1. Overall, the study found significant sociodemographic differences in PF among Indian adults that also varied by gender. As such, social and/or economic disadvantage was associated with poorer PF. However, the results demonstrated that socioeconomic patterns in PF were much more nuanced among women than among men. This study adds to previous research on PF in India and provides new insights into how sociodemographic characteristics shape it. A major research implication of this finding is that inconsistent with assumptions of previous research, an increase in SES is not always linked to proportionate increases in PF among women. The study also makes a compelling case for separately examining multiple non-clinical outcomes of psychosocial health.

Preparedness of diabetic patients for receiving telemedical health care: A cross-sectional study

Introduction

This study evaluates feasibility of telemedicine to deliver diabetic care among different regions of the country.

Materials and Methods

Medical interns affiliated with Rotaract Club of Medicrew (RCM) organized a Free Diabetes Screening Camp called "Diab-at-ease" at multiple sites across the country. Of all beneficiaries of the camp >18 years of age, patients previously diagnosed with diabetes and undiagnosed patients with a random blood sugar level of more than 200 mg/dL were interviewed regarding their knowledge, attitude, and practice regarding diabetes care and preparedness and vigilance to receiving care through telemedicine. Random blood sugar, height, weight, and waist circumference were also documented.

Results

About 51.1% (N = 223) of female patients aged 57.57 ± 13.84 years (>18 years) with body mass index (BMI) =26.11 ± 4.63 were the beneficiaries of the health camps. About 75.3% (n = 168) of them were on oral hypoglycemic agents (OHAs), 15.7% (n = 35) were on insulin preparations, and 59.6% (n = 156) and 88.5% (n = 31) of which were highly compliant with treatment, respectively. About 35% (n = 78) and 43.9% (n = 98) of them were unaware of their frequency of hypoglycemic and hyperglycemic episodes, respectively. About 64.6% (n = 144) of the patients were equipped for receiving teleconsultation. Glucometer was only possessed by 51.6% (115) of which only 46.95% (n = 54) can operate it independently. Only 80 patients (35.9%) were aware of the correct value of blood glucose levels.

Conclusion

While a majority of the population is compliant with treatment and aware about diabetes self-care, they lack adequate knowledge and resource equipment for the same leading to very limited utilization.

The prevalence of frailty and its relationship with sociodemographic factors, regional healthcare disparities, and healthcare utilization in the aging population across India

Objective

To estimate frailty prevalence and its relationship with the socio-economic and regional factors and health care outcomes.

Methods

In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and health care utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants' residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with sociodemographic characteristics, health index, and health care expenditure or hospitalization.

Results

Among the 3953 eligible participants, the prevalence of frailty was 42.34% (men = 34.99% and women = 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, P < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for the socio-economic profile, FI was inversely associated with the composite health index of a state (P < 0.001). FI was also significantly correlated with total 1-year health care expenditure and hospitalization (P < 0.001 and 0.020, respectively).

Conclusion

There is a high prevalence of frailty among older Indian adults that is associated with sociodemographic factors and regional health care performance. Furthermore, frailty is associated with increased health care utilization and expenditure.

Parents' Caring Approach for Their Children Suffering from Pneumonia-A Study among Bhil Tribes of Maharashtra

Context

In India, pneumonia deaths in the past decade show a decreasing trend in the child mortality rate from 74.6 to 45.4. However, NFHS-5 records an increase in prevalence to 2.8% from 2.7% in NFHS-4. The childhood pneumonia control strategies focus on strengthening the health system, skill-building health workers, counseling, and creating awareness about promoting healthy behaviors regarding the management of sick children.

Aims

The study attempts to understand "caregivers" care-seeking behavior and the management of childhood pneumonia.

Setting and Design

The study was conducted in the Akkalkuwa block of Nandurbar district, Maharashtra, India. We used episodic interviews, asking caregivers to recollect specific events linked to the need for treatment.

Methods and Material

A total of 11 in-depth interviews of mothers were conducted whose under-five children had pneumonia in the past year. These interviews used vignettes from real pneumonia cases to discuss community priorities for health care and actions taken to improve child's health. In addition, the qualitative data from the in-depth interviews were thematically analyzed.

Result

Cough, breathlessness, and disturbance in the routine schedule of the child were the major symptoms to identify pneumonia (vavlya) among children. Branding on the stomach, oil massage, and jadi-buti were commonly observed phenomena to seek help. Low priority, the influence of traditional healers and herbal medicines, and the inaccessibility of quality healthcare services were the main factors that led to the child's treatment.

Conclusion

Culturally appropriate activities are to be imparted on recognition of symptoms and appropriate care seeking, and community health workers need capacity building.

Sociodemographic characteristics of women who died by suicide in India from 2014 to 2020: findings from surveillance data

BACKGROUND

Women in India have twice the suicide death rate (SDR) compared with the global average for women. The aim of this study is to present a systematic understanding of sociodemographic risk factors, reasons for suicide deaths, and methods of suicide among women in India at the state level over time.

METHODS

Administrative data on suicide deaths among women by education level, marital status, and occupation, and reason for and method of suicide were extracted from the National Crimes Record Bureau reports for years 2014 to 2020. We extrapolated SDR at the population level for Indian women by education, marital status, and occupation to understand the sociodemography of these suicide deaths for India and its states. We reported the reasons for and methods of suicide deaths among Indian women at the state level over this period.

FINDINGS

SDR was higher among women with education of class 6 or more (10·2; 95% CI 10·1-10·4) than those with no education (3·8; 3·7-3·9) or education until class 5 (5·4; 5·2-5·5) in India in 2020, with similar patterns in most states. SDR declined between 2014 and 2020 for women with education until class 5. Women currently married accounted for 28 085 (63·1%) of 44 498 suicide deaths in India, 8336 (56·2%) of 14 840 in less developed states, and 19 661 (66·9%) of 29 407 in more developed states in 2020. For India, women currently married had a significantly higher SDR (8·1; 8·0-8·2) than those never married in 2014. However, women who never married had a significantly higher SDR (8·4; 8·2-8·5) in 2020 than those who were currently married. Many individual states in 2020 had similar SDR for women who never married and those who are currently married. Housewife as an occupation accounted for 50% or more of suicide deaths from 2014 to 2020 in India and its states. Family problems was the most common reason for suicide from 2014 to 2020, accounting for 16 140 (36·3%) of 44 498 suicide deaths in India, 5268 (35·5%) of 14 840 in less developed states, and 10 803 (36·7%) of 29 407 in more developed states in 2020. Hanging was the leading mean of suicide from 2014 to 2020. Insecticide or poison consumption was the second leading cause of suicide, accounting for 2228 (15·0%) of all 14 840 suicide deaths in less developed states and 5753 (19·6%) of 29 407 in more developed states, with a near 70·0% increase in the use of this method from 2014 to 2020.

INTERPRETATION

The higher SDR among women who have received an education, similar SDR between women currently married and never married, and variations in the reasons for and means of suicide at the state level highlight the need to incorporate sociological insights into how the external social environment can matter for women to better understand the complexity of suicide and determine how to effectively intervene.

FUNDING

Bill & Melinda Gates Foundation.

Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies

Introduction

Several studies have explored the effect of anthropometric risk factors on metabolic syndrome. However, no systematic effort has explored the effect of overweight and obesity on the prevalence of metabolic syndrome in India. Thus, we undertook a meta-analysis to estimate the effect of anthropometric risk factors on the prevalence of metabolic syndrome.

Methods

We searched databases PubMed Central, EMBASE, MEDLINE, and Cochrane library and search engines ScienceDirect and Google Scholar, from January 1964 through March 2021. We used the Newcastle–Ottawa scale to assess the quality of published studies, conducted a meta-analysis with a random-effects model, and reported pooled odds ratios (OR) with 95% CIs.

Results

We analyzed 26 studies with a total of 37,965 participants. Most studies had good to satisfactory quality on the Newcastle–Ottawa scale. Participants who were overweight (pooled OR, 5.47; 95% CI, 3.70–8.09) or obese (pooled OR, 5.00; 95% CI, 3.61–6.93) had higher odds of having metabolic syndrome than those of normal or low body weight. Sensitivity analysis showed no significant variation in the magnitude or direction of outcome, indicating the lack of influence of a single study on the overall pooled estimate.

Conclusion

Overweight and obesity are significantly associated with metabolic syndrome. On the basis of evidence, clinicians and policy makers should implement weight reduction strategies among patients and the general population.

Association of multidimensional poverty and tuberculosis in India

Background

Reduction of multidimensional poverty and tuberculosis are priority development agenda worldwide. The SDGs aims to eradicate poverty in all forms (SDG 1.2) and to end tuberculosis (SDG 3.3.2) by 2030. While poverty is increasingly being measured across multiple domains, reduction of tuberculosis has been an integral part of public health programmes. Though literature suggests a higher prevalence of tuberculosis among the economically poor, no attempt has been made to understand the association between multidimensional poverty and tuberculosis in India. The objective of this paper is to examine the association of multidimensional poverty and tuberculosis in India.

Methods

The unit data from the National Family Health Survey-4, conducted in 2015–16 covering 628,900 households and 2,869,043 individuals across 36 states and union territories of India was used in the analysis. The survey collected information on the self-reported tuberculosis infection of each member of a sample household at the time of the survey. Multidimensional poverty was measured in the domains of education, health, and standard of living, with a set of 10 indicators. The prevalence of tuberculosis was estimated among the multidimensional poor and non-poor populations across the states of India. A binary logistic regression model was used to understand the association of tuberculosis and multidimensional poverty.

Results

Results suggest that about 29.3% population of India was multidimensional poor and that the multidimensional poverty index was 0.128. The prevalence of tuberculosis among the multidimensional poor was 480 (95% CI: 464–496) per 100,000 population compared to 250 (95% CI: 238–262) among the multidimensional non-poor. The prevalence of tuberculosis among the multidimensional poor was the highest in the state of Kerala (1590) and the lowest in the state of Himachal Pradesh (220). Our findings suggest a significantly higher prevalence of tuberculosis among the multidimensional poor compared to the multidimensional non-poor in most of the states in India. The odds of having tuberculosis among the multidimensional poor were 1.82 times higher (95% CI, 1.73–1.90) compared to the non-poor. Age, sex, smoking, crowded living conditions, caste, religion, and place of residence are significant socio-demographic risk factors of tuberculosis.

Conclusion

The prevalence of tuberculosis is significantly higher among the multidimensional poor compared to the multidimensional non-poor in India.

Telemedicine during COVID-19 in India-a new policy and its challenges

During the COVID-19 pandemic, a countrywide lockdown of nearly twelve weeks in India reduced access to regular healthcare services. As a policy response, the Ministry of Health & Family Welfare which exercises jurisdiction over telemedicine in India, rapidly issued India's first guidelines for use of telemedicine. The authors argue that: guidelines must be expanded to address ethical concerns about the use of privacy, patient data and its storage; limited access to the internet and weaknesses in the telecom infrastructure challenge widespread adoption of telemedicine; only by simultaneously improving both will use of telemedicine become equitable; Indian medical education curricula should include telemedicine and India should rapidly extend training to practitioner. They determine that for low- and middle-income countries (LMIC), including India, positive externalities of investing in telemedicine are ample, thus use of this option can render healthcare more accessible and equitable in future.

Supported motherhood? An examination of the cultural context of male participation in maternal health care among tribal communities in India

In many cultural settings worldwide, within families, men tend to be responsible for important choices relating to the allocation of household resources and care-seeking behaviour that directly impact on the health of women and newborns. This study examines the extent of male participation in antenatal care (ANC), delivery, postnatal care (PNC), household chores and providing food to wives among tribal communities in India. In addition, health care providers’ views on male participation in maternal health were examined. Primary data were collected from 385 men aged 15–49 from rural Gadchiroli District in Maharashtra, India. Interviews of 385 men whose wives had delivered a child within the previous 2 years were conducted between November 2014 and March 2015. Bivariate and multivariate analyses were done. The results showed that the tribal men’s participation in maternal health care was minimal. Around 22% of the men reported accompanying their wives to ANC, 25% were present at the time of delivery of their children and 25% accompanied their wives to PNC. Participation in household work, and support for wives in other ways, were slightly better. The main reason given by men for not participating in maternal health care was that they didn’t think it was necessary, believing that all maternal health issues were women’s concern. Health care providers among these tribal communities in India should encourage men to participate in issues related to maternal health care.

Scaling the Maternal and Newborn Survival Initiative (MANSI)

The infant mortality rate (IMR) and maternal mortality ratio (MMR) are unacceptably high in many parts of rural India. This article focuses on a system analysis approach to the best practices for scaling and replicating of maternal and newborn survival initiative (MANSI), a field-tested pilot program for addressing high IMRs and MMRs. A system dynamics model of the village birthing system is used to understand the resources needed for the viability of scaling or replication, is constructed and incorporated in the analysis. The MANSI program is a public and private partnership between a few key players. Implemented in the Seraikela area of India's Jharkhand state, the program has achieved a 32.7% reduction in neonatal mortality, a 26.5% reduction in IMR, and a 50% increase in hospital births, which tend to have better health outcomes for women and newborns. The authors conclude with a discussion of the prospects for and difficulties of replicating MANSI in other resource-constrained areas, not only in India but in other developing countries as well.

Towards an understanding of the multilevel factors associated with maternal health care utilization in Uttar Pradesh, India

BACKGROUND

This paper explores the multilevel factors associated with maternal health utilization in India's most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program.

OBJECTIVES

This intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes.

METHODS

The paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization.

RESULTS

The study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband's schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband's schooling (OR 1.49, 95% CI 1.26-1.76), having a bank account (OR 1.36, 95% CI 1.11-1.68), and owning a house (OR 2.28, 95% CI 1.85-2.80). Factors affecting antenatal care include the woman's literacy (OR 1.49, 95% CI 1.28-1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10-1.77), and owning a house (OR 2.83, 95% CI 2.27-3.53). Home delivery tends to be associated with woman's literacy (OR 0.62, 95% CI 0.54-0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26-1.73).

CONCLUSIONS

Interventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions.

Gender differentials and state variations in suicide deaths in India: the Global Burden of Disease Study 1990-2016

Background

A systematic understanding of suicide mortality trends over time at the subnational level for India's 1·3 billion people, 18% of the global population, is not readily available. Thus, we aimed to report time trends of suicide deaths, and the heterogeneity in its distribution between the states of India from 1990 to 2016.

Methods

As part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016, we estimated suicide death rates (SDRs) for both sexes in each state of India from 1990 to 2016. We used various data sources for estimating cause-specific mortality in India. For suicide mortality in India before 2000, estimates were based largely on GBD covariates. For each state, we calculated the ratio of the observed SDR to the rate expected in geographies globally with similar GBD Socio-demographic Index in 2016 (ie, the observed-to-expected ratio); and assessed the age distribution of suicide deaths, and the men-to-women ratio of SDR over time. Finally, we assessed the probability for India and the states of reaching the Sustainable Development Goal (SDG) target of a one-third reduction in SDR from 2015 to 2030, using location-wise trends of the age-standardised SDR from 1990 to 2016. We calculated 95% uncertainty intervals (UIs) for the point estimates.

Findings

There were 230 314 (95% UI 194 058–250 260) suicide deaths in India in 2016. India's contribution to global suicide deaths increased from 25·3% in 1990 to 36·6% in 2016 among women, and from 18·7% to 24·3% among men. Age-standardised SDR among women in India reduced by 26·7% from 20·0 (95% UI 16·5–23·5) in 1990 to 14·7 (13·1–16·2) per 100 000 in 2016, but the age-standardised SDR among men was the same in 1990 (22·3 [95% UI 14·4–27·4] per 100 000) and 2016 (21·2 [14·6–23·6] per 100 000). SDR in women was 2·1 times higher in India than the global average in 2016, and the observed-to-expected ratio was 2·74, ranging from 0·45 to 4·54 between the states. SDR in men was 1·4 times higher in India than the global average in 2016, with an observed-to-expected ratio of 1·31, ranging from 0·40 to 2·42 between the states. There was a ten-fold variation between the states in the SDR for women and six-fold variation for men in 2016. The men-to-women ratio of SDR for India was 1·34 in 2016, ranging from 0·97 to 4·11 between the states. The highest age-specific SDRs among women in 2016 were for ages 15–29 years and 75 years or older, and among men for ages 75 years or older. Suicide was the leading cause of death in India in 2016 for those aged 15–39 years; 71·2% of the suicide deaths among women and 57·7% among men were in this age group. If the trends observed up to 2016 continue, the probability of India achieving the SDG SDR reduction target in 2030 is zero, and the majority of the states with 81·3% of India's population have less than 10% probability, three states have a probability of 10·3–15·0%, and six have a probability of 25·1–36·7%.

Interpretation

India's proportional contribution to global suicide deaths is high and increasing. SDR in India is higher than expected for its Socio-Demographic Index level, especially for women, with substantial variations in the magnitude and men-to-women ratio between the states. India must develop a suicide prevention strategy that takes into account these variations in order to address this major public health problem.

Funding

Bill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Lessons from a decade of suicide surveillance in India: who, why and how?

Background

This paper investigates trends in suicide rate, the reasons for and means of suicide and the occupation of deceased, to prioritize suicide prevention activities in India and to highlight the limitations to data quality for surveillance.

Methods

Data available in the public domain from the National Crimes Record Bureau (NCRB) were analysed from 2001 to 2010 at the national and sub-national levels, split by age groups and sex for ages 15 years and above.

Results

The reported suicide rate was 14.9 and 15.4 suicides per 100 000 population in 2001 and 2010, respectively. More developed states reported significantly higher suicide rates than the less developed (mean 20.5 versus 8.16), but neither experienced large changes over time. Among males, the reported suicide rate changed slightly (17.8 to 19.5); it remained almost similar for females (11.9 to 11.1). Housewives accounted for the highest proportion of suicide deaths over the decade. Distribution of the reasons for suicide remained almost constant over time; most suicides (33.7%) were due to personal/social reasons, followed by health at 24.3% and unknown reasons at 16.4%; differences were observed between the more and less developed states. Marriage-related suicides were higher for females, and health reasons increased with increasing age. Nationally, poison/overdose with drugs/pesticides was the leading means of suicide through the decade, although the gap between this and hanging decreased over time. The state level data showed considerable heterogeneity in the quality of data across the indicators assessed.

Conclusions

These data provide a range of information to identify vulnerable groups, to formulate appropriate suicide prevention strategies. Addressing the limitations in data quality would facilitate further utility of surveillance data to prevent suicides.

Nations within a nation: variations in epidemiological transition across the states of India, 1990-2016 in the Global Burden of Disease Study

BACKGROUND

18% of the world's population lives in India, and many states of India have populations similar to those of large countries. Action to effectively improve population health in India requires availability of reliable and comprehensive state-level estimates of disease burden and risk factors over time. Such comprehensive estimates have not been available so far for all major diseases and risk factors. Thus, we aimed to estimate the disease burden and risk factors in every state of India as part of the Global Burden of Disease (GBD) Study 2016.

METHODS

Using all available data sources, the India State-Level Disease Burden Initiative estimated burden (metrics were deaths, disability-adjusted life-years [DALYs], prevalence, incidence, and life expectancy) from 333 disease conditions and injuries and 84 risk factors for each state of India from 1990 to 2016 as part of GBD 2016. We divided the states of India into four epidemiological transition level (ETL) groups on the basis of the ratio of DALYs from communicable, maternal, neonatal, and nutritional diseases (CMNNDs) to those from non-communicable diseases (NCDs) and injuries combined in 2016. We assessed variations in the burden of diseases and risk factors between ETL state groups and between states to inform a more specific health-system response in the states and for India as a whole.

FINDINGS

DALYs due to NCDs and injuries exceeded those due to CMNNDs in 2003 for India, but this transition had a range of 24 years for the four ETL state groups. The age-standardised DALY rate dropped by 36·2% in India from 1990 to 2016. The numbers of DALYs and DALY rates dropped substantially for most CMNNDs between 1990 and 2016 across all ETL groups, but rates of reduction for CMNNDs were slowest in the low ETL state group. By contrast, numbers of DALYs increased substantially for NCDs in all ETL state groups, and increased significantly for injuries in all ETL state groups except the highest. The all-age prevalence of most leading NCDs increased substantially in India from 1990 to 2016, and a modest decrease was recorded in the age-standardised NCD DALY rates. The major risk factors for NCDs, including high systolic blood pressure, high fasting plasma glucose, high total cholesterol, and high body-mass index, increased from 1990 to 2016, with generally higher levels in higher ETL states; ambient air pollution also increased and was highest in the low ETL group. The incidence rate of the leading causes of injuries also increased from 1990 to 2016. The five leading individual causes of DALYs in India in 2016 were ischaemic heart disease, chronic obstructive pulmonary disease, diarrhoeal diseases, lower respiratory infections, and cerebrovascular disease; and the five leading risk factors for DALYs in 2016 were child and maternal malnutrition, air pollution, dietary risks, high systolic blood pressure, and high fasting plasma glucose. Behind these broad trends many variations existed between the ETL state groups and between states within the ETL groups. Of the ten leading causes of disease burden in India in 2016, five causes had at least a five-times difference between the highest and lowest state-specific DALY rates for individual causes.

INTERPRETATION

Per capita disease burden measured as DALY rate has dropped by about a third in India over the past 26 years. However, the magnitude and causes of disease burden and the risk factors vary greatly between the states. The change to dominance of NCDs and injuries over CMNNDs occurred about a quarter century apart in the four ETL state groups. Nevertheless, the burden of some of the leading CMNNDs continues to be very high, especially in the lowest ETL states. This comprehensive mapping of inequalities in disease burden and its causes across the states of India can be a crucial input for more specific health planning for each state as is envisioned by the Government of India's premier think tank, the National Institution for Transforming India, and the National Health Policy 2017.

FUNDING

Bill & Melinda Gates Foundation; Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India; and World Bank.

Inequalities in child health in India

India is a lower-middle-income country with one of the fastest growing economies in the world. Despite improvements in its economy, it has a high child mortality rate, with significant differences in child mortality both between and within different states. Poverty, malnutrition and poor sanitation are major problems for many Indians and are a major contributor to child mortality. More than 40% children are malnourished or stunted. Healthcare provision is poor, and many families, especially in rural areas, have major difficulties in accessing healthcare. Kerala has the lowest child mortality rates in India. This has been achieved by reducing poverty, malnutrition and inequalities. The provision of universal education alongside universal access to healthcare has demonstrated that child mortality rates could be reduced. India could significantly reduce its child mortality by following the example of Kerala.

Exposure to particulate matter in India: A synthesis of findings and future directions

Air pollution poses a critical threat to human health with ambient and household air pollution identified as key health risks in India. While there are many studies investigating concentration, composition, and health effects of air pollution, investigators are only beginning to focus on estimating or measuring personal exposure. Further, the relevance of exposures studies from the developed countries in developing countries is uncertain. This review summarizes existing research on exposure to particulate matter (PM) in India, identifies gaps and offers recommendations for future research. There are a limited number of studies focused on exposure to PM and/or associated health effects in India, but it is evident that levels of exposure are much higher than those reported in developed countries. Most studies have focused on coarse aerosols, with a few studies on fine aerosols. Additionally, most studies have focused on a handful of cities, and there are many unknowns in terms of ambient levels of PM as well as personal exposure. Given the high mortality burden associated with air pollution exposure in India, a deeper understanding of ambient pollutant levels as well as source strengths is crucial, both in urban and rural areas. Further, the attention needs to expand beyond the handful large cities that have been studied in detail.