Multilevel analysis of determinants in postnatal care utilisation among mother-newborn pairs in India, 2019-21.

Background: Postnatal care (PNC) utilisation within 24 hours of delivery is a critical component of health care services for mothers and newborns. While substantial geographic variations in various health outcomes have been documented in India, there remains a lack of understanding regarding PNC utilisation and underlying factors accounting for these geographic variations. In this study, we aimed to partition and explain the variation in PNC utilisation across multiple geographic levels in India. Methods: Using India's 5th National Family Health Survey (2019-21), we conducted four-level logistic regression analyses to partition the total geographic variation in PNC utilisation by state, district, and cluster levels, and to quantify how much of theses variations are explained by a set of 12 demographic, socioeconomic, and pregnancy-related factors. We also conducted analyses stratified by selected states/union territories. Results: Among 149 622 mother-newborn pairs, 82.29% of mothers and 84.92% of newborns were reported to have received PNC within 24 hours of delivery. In the null model, more than half (56.64%) of the total geographic variation in mother's PNC utilisation was attributed to clusters, followed by 26.06% to states/union territories, and 17.30% to districts. Almost 30% of the between-state variation in mother's PNC utilisation was explained by the demographic, socioeconomic, and pregnancy-related factors (i.e. state level variance reduced from 0.486 (95% confidence interval (CI) = 0.238, 0.735) to 0.320 (95% CI = 0.152, 0.488)). We observed consistent results for newborn's PNC utilisation. State-specific analyses showed substantial geographic variation attributed to clusters across all selected states/union territories. Conclusions: Our findings highlight the consistently large cluster variation in PNC utilisation that remains unexplained by compositional effects. Future studies should explore contextual drivers of cluster variation in PNC utilisation to inform and design interventions aimed to improve maternal and child health.

Early-Neonatal, Late-Neonatal, Postneonatal, and Child Mortality Rates Across India, 1993-2021.

Importance: The global success of the child survival agenda depends on how rapidly mortality at early ages after birth declines in India, and changes need to be monitored to evaluate the status. Objective: To understand the disaggregated patterns of decrease in early-life mortality across states and union territories (UTs) of India. Design, Setting, and Participants: Repeated cross-sectional data from the 5 rounds of the National Family Health Survey conducted in 1992-1993, 1998-1999, 2005-2006, 2015-2016, and 2019-2021 were used in a representative population-based study. The study was based on data of children born in the past 5 years with complete information on date of birth and age at death. The analysis was conducted in February 2024. Exposure: Time and geographic units. Main Outcomes and Measures: Mortality rates were computed for 4 early-life periods: early-neonatal (first 7 days), late-neonatal (8-28 days), postneonatal (29 days to 11 months), and child (12-59 months). For early and late neonatal periods, the rates are expressed as deaths per 1000 live births, for postneonatal, as deaths per 1000 children aged at least 29 days and for child, deaths per 1000 children aged at least 1 year. These are collectively mentioned as deaths per 1000 for all mortalities. The relative burden of each of the age-specific mortalities to total mortality in children younger than 5 years was also computed. Results: The final analytical sample included 33 667 (1993), 29 549 (1999), 23 020 (2006), 82 294 (2016), and 64 242 (2021) children who died before their fifth birthday in the past 5 years of each survey. Mortality rates were lowest for the late-neonatal and child periods; early-neonatal was the highest in 2021. Child mortality experienced the most substantial decrease between 1993 and 2021, from 33.5 to 6.9 deaths per 1000, accompanied by a substantial reduction in interstate inequalities. While early-neonatal (from 33.5 to 20.3 deaths per 1000), late-neonatal (from 14.1 to 4.1 deaths per 1000), and postneonatal (from 31.0 to 10.8 deaths per 1000) mortality also decreased, interstate inequalities remained notable. The mortality burden shifted over time and is now concentrated during the early-neonatal (48.3% of total deaths in children younger than 5 years) and postneonatal (25.6%) periods. A stagnation or worsening for certain states and UTs was observed from 2016 to 2021 for early-neonatal, late-neonatal, and postneonatal mortality. If this pattern continues, these states and UTs will not meet the United Nations Sustainable Development Goal targets related to child survival. Conclusions and Relevance: In this repeated cross-sectional study of 5 time periods, the decrease in mortality during early-neonatal and postneonatal phases of mortality was relatively slower, with notable variations across states and UTs. The findings suggest that policies pertaining to early-neonatal and postneonatal mortalities need to be prioritized and targeting of policies and interventions needs to be context-specific.

Socioeconomic and geographic inequalities in antenatal and postnatal care components in India, 2016-2021.

Despite the well-known importance of high-quality care before and after delivery, not every mother and newborn in India receive appropriate antenatal and postnatal care (ANC/PNC). Using India's National Family Health Surveys (2015-2016 and 2019-2021), we quantified the socioeconomic and geographic inequalities in the utilization of ANC/PNC among women aged 15-49 years and their newborns (N = 161,225 in 2016; N = 150,611 in 2021). For each of the eighteen ANC/PNC components, we assessed absolute and relative inequalities by household wealth (poorest vs. richest), maternal education (no education vs. higher than secondary), and type of place of residence (rural vs. urban) and evaluated state-level heterogeneity. In 2021, the national prevalence of ANC/PNC components ranged from 19.8% for 8 + ANC visits to 91.6% for maternal weight measurement. Absolute inequalities were greatest for ultrasound test (33.3%-points by wealth, 30.3%-points by education) and 8 + ANC visits (13.2%-points by residence). Relative inequalities were greatest for 8 + ANC visits (1.8 ~ 4.4 times). All inequalities declined over time. State-specific estimates were overall consistent with national results. Socioeconomic and geographic inequalities in ANC/PNC varied significantly across components and by states. To optimize maternal and newborn health in India, future interventions should aim to achieve universal coverage of all ANC/PNC components.

Trends in prevalence of unmet need for family planning in India: patterns of change across 36 States and Union Territories, 1993-2021.

BACKGROUND: Eliminating unmet need for family planning by 2030 is a global priority for ensuring healthy lives and promoting well-being for all at all ages. We estimate the sub-national trends in prevalence of unmet need for family planning over 30 years in India and study differences based on socio-economic and demographic factors. METHODS: We used data from five National Family Health Surveys (NFHS) conducted between 1993 to 2021 for the 36 states/Union Territories (UTs) of India. The study population included women of ages 15-49 years who were married or in a union at the time of the survey. The outcome was unmet need for family planning which captures the prevalence of fecund and sexually active women not using contraception, who want to delay or limit childbearing. We calculated the standardized absolute change to estimate the change in prevalence on an annual basis across all states/UTs. We examined the patterning of prevalence of across demographic and socioeconomic characteristics and estimated the headcount of women with unmet need in 2021. RESULTS: The prevalence of unmet need in India decreased from 20·6% (95% CI: 20·1- 21·2%) in 1993, to 9·4% (95% CI: 9·3-9·6%) in 2021. Median unmet need prevalence across states/UTs decreased from 17·80% in 1993 to 8·95% in 2021. The north-eastern states of Meghalaya (26·9%, 95% CI: 25·3-28·6%) and Mizoram (18·9%, 95% CI: 17·2-20·6%), followed by the northern states of Bihar (13·6%, 95% CI: 13·1-14·1%) and Uttar Pradesh (12·9%, 95% CI: 12·5-13·2%), had the highest unmet need prevalence in 2021. As of 2021, the estimated number of women with an unmet need for family planning was 24,194,428. Uttar Pradesh, Bihar, Maharashtra, and West Bengal accounted for half of this headcount. Women of ages 15-19 and those belonging the poorest wealth quintile had a relatively high prevalence of unmet need in 2021. CONCLUSIONS: The existing initiatives under the National Family Planning Programme should be strengthened, and new policies should be developed with a focus on states/UTs with high prevalence, to ensure unmet need for family planning is eliminated by 2030.

This study looked at the trends in unmet need for family planning in India, which is defined as the percentage of women of reproductive age who want to delay or limit childbearing but are not using any contraceptive method. A public dataset was used to analyze national and sub-national trends from 1993 to 2021. It was determined that although the percentage prevalence of unmet need decreased in the last 30 years, there were still a substantial number of women with unmet need in 2021. More than half of these women were in Uttar Pradesh, Bihar, Maharashtra, and West Bengal. Furthermore, it was found that percentage prevalence of unmet need was relatively higher amongst younger women and those belonging to poorer households in 2021. Initiatives and policies aimed at reducing unmet need for family planning should be implemented while considering geographic, socioeconomic, and demographic differences.

Does discrimination prevent transgender and gender diverse people from seeking healthcare?: A nationwide cohort study in South Korea.

Introduction: Using Asia's first nationwide cohort dataset, this study aimed to assess the prevalence of anti-transgender discrimination and healthcare avoidance and delay (HAD) and examine their associations among transgender and gender diverse (TGD) adults in South Korea. Methods: We analyzed a two-wave (2020-2021) longitudinal dataset of 190 Korean TGD adults. Anti-transgender discrimination were classified accordingly: experienced at (1) neither wave, (2) baseline (2020) only, (3) follow-up (2021) only, and (4) both waves. We also asked about HAD in the past 12 months at follow-up for both transition-related and non-transition-related healthcare services. Multivariate modified Poisson regression was used to examine the associations between anti-transgender discrimination and HAD. Results: Of 190 participants, 102 (53.7%) experienced anti-transgender discrimination at both waves, and 130 (68.4%) reported HAD at follow-up. Compared to those without any experiences of anti-transgender discrimination, those who experienced it in both waves had a 1.78-times (95% CI: 1.21-2.63) higher prevalence of non-transition-related HAD, but not among those who experienced it in either wave. In contrast, anti-transgender discrimination was not associated with transition-related HAD. Conclusion: In order to enhance healthcare access for transgender and gender diverse (TGD) individuals, it is necessary to implement interventions, such as anti-discrimination laws, that protect them from discrimination.

Problems accessing health care and under-5 mortality: a pooled analysis of 50 low- and middle-income countries.

BACKGROUND: Access to health care remains suboptimal in low- and middle-income countries (LMICs) and continues to hinder survival in early childhood. We systematically assessed the association between problems accessing health care (PAHC) and under-five mortality (U5M). METHODS: Child mortality data on 724 335 livebirths came from the latest Demographic and Health Surveys of 50 LMICs (2013-2021). Reasons for PAHC were classified into three domains: 'money needed for treatment' (economic), 'distance to health facility' (physical), 'getting permission' or 'not wanting to go alone' (socio-cultural). Multivariable logistic regression was used to estimate the association between PAHC (any and by each type) and U5M. RESULTS: In our pooled sample, 47.3 children per 1000 livebirths died before age of 5, and 57.1% reported having experienced PAHC (ranging from 45.3% in Europe & Central Asia to 72.7% in Latin America & Caribbean). Children with any PAHC had higher odds of U5M (OR: 1.05, 95% CI: 1.02, 1.09), and this association was especially significant in sub-Saharan Africa. Of different domains of PAHC, socio-cultural PAHC was found to be most significant. CONCLUSIONS: Access to health care in LMICs needs to be improved by expanding health care coverage, building health facilities, and focusing more on context-specific socio-cultural barriers.

Women's empowerment and child anthropometric failures across 28 sub-Saharan African countries: A cross-level interaction by Gender Inequality Index.

Background: Child undernutrition remains a major global health issue, particularly in sub-Saharan Africa (SSA). Given the important role mothers play in early childhood health and development, we examined how individual-level women's empowerment and country-level Gender Inequality Index (GII) are jointly related with child undernutrition in SSA. Methods: We pooled recent Demographic and Health Surveys from 28 SSA countries. For 137,699 children <5 years old, undernutrition was defined using anthropometric failures (stunting, underweight, wasting). Women's empowerment was assessed using three domains of Survey-based Women's EmPowERment (SWPER) index: attitude to violence, social independence, and decision-making; and country-level gender inequality was measured using GII from United Nations Development Programme. Three-level logistic regression was conducted to examine the joint associations of SWPER and GII as well as their interactions with child anthropometric failures, after adjusting for sociodemographic covariates. Results: Overall, 32.85% of children were stunted, 17.63% were underweight, and 6.68% had wasting. Children of mothers with low-level of empowerment for all domains of SWPER had higher odds of stunting (attitude to violence: OR=1.15; 95% CI, 1.11-1.19; social independence: OR=1.21; 95% CI, 1.17-1.25; decision-making: OR=1.16; 95% CI, 1.12-1.20), and consistent results were found for underweight and wasting. Independent of women's empowerment, country-level GII increased the probability of underweight (ranging ORs=1.46; 95% CI, 1.15-1.85 to 1.50; 95% CI, 1.18-1.90) and wasting (ranging ORs=1.56; 95% CI, 1.24-1.97 to 1.61; 95% CI, 1.27-2.03). Significant interaction was found between women's empowerment and country-level GII for stunting and underweight (p<0.05). Conclusions: In SSA countries with greater gender inequality, improving women's social independence and decision-making power in particular can reduce their children's risk of anthropometric failures. Policies and interventions targeted at strengthening women's empowerment should consider the degree of gender inequality in each country.

Corrigendum to-"Food deprivation among adults in India: an analysis of specific food-categories, 2016-2021" [eClinical medicine 66(2023) 102313].

[This corrects the article DOI: 10.1016/j.eclinm.2023.102313.].

Prevalence of Children Aged 6 to 23 Months Who Did Not Consume Animal Milk, Formula, or Solid or Semisolid Food During the Last 24 Hours Across Low- and Middle-Income Countries.

Importance: The introduction of solid or semisolid foods alongside breast milk plays a vital role in meeting nutritional requirements during early childhood, which is crucial for child growth and development. Understanding the prevalence of zero-food children (defined for research purposes as children aged 6 to 23 months who did not consume animal milk, formula, or solid or semisolid food during the last 24 hours) is essential for targeted interventions to improve feeding practices. Objective: To estimate the percentage of zero-food children in 92 low- and middle-income countries. Design, Setting, and Participants: This cross-sectional study analyzed nationally representative cross-sectional household data of children aged 6 to 23 months from the Demographic and Health Surveys and the Multiple Indicator Cluster Surveys conducted between May 20, 2010, and January 27, 2022. Data were obtained from 92 low- and middle-income countries. Standardized procedures were followed to ensure data comparability and reliability. Both percentage and number of zero-food children were estimated. Main Outcomes and Measures: The outcome studied was defined as a binary variable indicating children aged 6 to 23 months who had not been fed any animal milk, formula, or solid or semisolid foods during the 24 hours before each survey, as reported by the mother or caretaker. Results: A sample of 276 379 children aged 6 to 23 months (mean age, 14.2 months [95% CI, 14.15-14.26 months]) in 92 low- and middle-income countries was obtained, of whom 51.4% (95% CI, 51.1%-51.8%) were boys. The estimated percentage of zero-food children was 10.4% (95% CI, 10.1%-10.7%) in the pooled sample, ranging from 0.1% (95% CI, 0%-0.6%) in Costa Rica to 21.8% (95% CI, 19.3%-24.4%) in Guinea. The prevalence of zero-food children was particularly high in West and Central Africa, where the overall prevalence was 10.5% (95% CI, 10.1%-11.0%), and in India, where the prevalence was 19.3% (95% CI, 18.9%-19.8%). India accounted for almost half of zero-food children in this study. Conclusions and Relevance: In this cross-sectional study of 276 379 children aged 6 to 23 months, substantial disparities in the estimates of food consumption across 92 low- and middle-income countries were found. The prevalence of zero-food children underscores the need for targeted interventions to improve infant and young child feeding practices and ensure optimal nutrition during this critical period of development. The issue is particularly urgent in West and Central Africa and India.

Prevalence, trend, and inequality of prolonged exclusive breastfeeding among children aged 6-23 months old in India from 1992-2021: A cross-sectional study of nationally representative, individual-level data.

Background: Prolonged exclusive breastfeeding (PEB) for children older than six months old is a threat to appropriate complementary feeding practices. This study aims to examine the trend of PEB among children aged 6-23 months in India. Methods: We adopted five waves of National Family Health Survey (NFHS) data between 1992-93 and 2019-21. PEB was defined as children aged six months and above currently consuming breastmilk as the only source of energy, protein and micronutrients. We generated descriptive statistics and a series of multivariable logistic regressions to estimate the prevalence and trend in the PEB rate. Moreover, we assessed how child age and socioeconomic factors (i.e. child gender and age, place of residence, household wealth, and maternal education) were related with PEB using mutually and single-adjusted model. Results: There were 184 891 Indian children aged 6-23 months old included in this study with 48.0% being female. We found that the proportion of PEB increased from 4.3% in 1992 to 7.7% in 2021, of which the rate for children aged six-eight months rose from 14.0 to 20.1%. Our results showed that children who were from poorer households or with lower-educated mothers were more likely to experience prolonged exclusive breastfed. Take the year of 2019-21 as an example, compared to the households of the richest quintile, children from households of the poorer quintile were significantly more likely to experience PEB, with odds ratio (OR) of 1.33 (95% confidence interval (CI) = 1.09-1.61). Moreover, children with illiterate mothers had 21% higher odds of having prolonged exclusively breastfeeding (OR = 1.21; 95% CI = 1.01-1.44) compared with children with mothers who have college and above education. Conclusions: PEB among children over six months old is prevalent in India, particularly among children from disadvantaged households. Poverty reduction and maternal education are of great potential importance for policymakers to promote appropriate complementary feeding practice.

Maternal Decision-Making Power and Care-Seeking Behaviors for Acutely Ill Children: A Multilevel Analysis of 33 Sub-Saharan African Countries.

Timely and appropriate healthcare seeking is crucial to reduce child mortality. However, rates of care seeking for acute childhood diseases remain low in sub-Saharan Africa (SSA). This study investigated the association between maternal decision-making power and care-seeking behaviors for children with diarrhea and acute respiratory infection (ARI) in SSA. Demographic and Health Surveys from 33 SSA countries were used in a sample of mother-child pairs (mothers aged 15-49 years; children aged 0-59 months) with a recent child episode of diarrhea (N = 41,729) and ARI (N = 71,966). Maternal decision-making power was defined as making decisions on all four familial topics alone or jointly with the husband/partner. Care-seeking behaviors were measured as seeking care from health providers, other types of providers, and any providers (including both). Multivariable three-level logistic regressions were conducted. Approximately 60% of the sample sought care from any provider (46-48% from health providers versus 13-14% from others). Approximately 28% of mothers had high decision-making power. After adjusting for sociodemographic characteristics, high maternal decision-making power was associated with higher likelihood of seeking care from a health provider for both diarrhea (adjusted odds ratio [aOR] = 1.06, 95% CI = 1.01-1.12) and ARI (aOR = 1.07, 95% CI = 1.03-1.11) and lower likelihood of seeking care from others (aOR = 0.89, 95% CI = 0.82-0.97 for diarrhea; aOR = 0.88, 95% CI = 0.82-0.94 for ARI). Maternal decision-making power was positively associated with their care-seeking behaviors from health providers for acutely ill children in SSA. Women's empowerment interventions that particularly increase women's agency in decision-making may holistically improve health and well-being of the next generation.

Spousal multimorbidity and depressive symptoms among older Indian couples: Do one's own health status and sex matter?

With the aging population, increases in non-communicable diseases that require chronic management pose a substantial economic and social burden to individuals with multimorbid conditions and their spousal caregivers. However, little is known about the crossover effect of spousal multimorbidity on mental health outcomes in the context of low- and middle-income countries, and whether it depends on one's own health status and sex. We examined the association between spousal multimorbidity and depressive symptoms using data on 6,158 older couples (12,316 individuals aged 60 years or above) from the Longitudinal Aging Study in India (LASI) 2017-18. Overall, 23.4% of the sample were multimorbid and 27.0% reported having depressive symptoms in the past week. Multivariable logistic regression models showed that spousal multimorbidity was associated with depressive symptoms, even after accounting for one's own multimorbidity status (OR: 1.23; 95% CI: 1.06-1.44). However, this association varied by sex. Among males, their own multimorbidity status was associated with 60% higher odds of having depressive symptoms (OR: 1.60; 95% CI: 1.28-2.00), but spousal multimorbidity was not. Furthermore, for males, the association between spousal multimorbidity and depressive symptoms was contingent upon the presence of their own multimorbidity. Among females, spousal multimorbidity was significantly associated with depressive symptoms, regardless of their own multimorbidity status. Our findings indicate that interventions to promote healthy aging should expand the formal caregiving system and consider family-based approaches to minimize the crossover health consequences of chronic morbidity in conjugal relationships, especially for females.

Ultra-processed Food Intake and Risk of Type 2 Diabetes in Korean Adults.

BACKGROUND: Several studies from the United States and European countries reported a positive association between ultra-processed food intake and diabetes risk. However, little is known about the association in Asian populations. It is also unknown about the individual ultra-processed food items that are most unfavorably associated with diabetes risk. OBJECTIVE: We examined the associations of ultra-processed food intake (combined, as well as individual ultra-processed food items) with the risk of type 2 diabetes. METHODS: This prospective analysis included 7438 participants aged 40-69 y from the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Dietary intake was assessed at baseline using a 103-item semiquantitative food-frequency questionnaire. Ultra-processed foods were classified using the Nova definition. Incident type 2 diabetes cases were identified via follow-up interviews and health examination. Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS: During the follow-up (2001-2019; median: 15 y), a total of 1187 type 2 diabetes cases were identified. Compared with the lowest quartile of ultra-processed food intake, the highest quartile was positively associated with diabetes risk [HR (95% CI) = 1.34 (1.13, 1.59), P-trend = 0.002]. The association did not change after additional adjustment for diet quality or BMI. Among individual ultra-processed food items, a higher consumption of ham/sausage [per 1% increase in the weight ratio: HR (95% CI) = 1.40 (1.05, 1.86)], instant noodles [1.07 (1.02, 1.11)], ice cream [1.08 (1.03, 1.13)], and carbonated beverages [1.02 (1.00, 1.04)] were associated with an increased risk of type 2 diabetes, whereas a higher intake of candy/chocolate was associated with a decreased risk [0.78 (0.62, 0.99)]. CONCLUSIONS: Our data suggest that the high intake of ultra-processed foods, particularly ham/sausage, instant noodles, ice cream, and carbonated beverages, is associated with an increased risk of type 2 diabetes in Korean adults.

Situational Avoidance and Its Association with Mental Health Among Transgender Adults in South Korea: A Nationwide Cohort Study.

Purpose: In fear of discrimination or unwanted disclosure of their transgender identity, transgender and nonbinary (TGNB) people may commonly avoid daily activities. We assessed the prevalence of situational avoidance among TGNB people and examined its associations with mental health outcomes. Methods: We analyzed data from a longitudinal survey conducted at baseline (2020) and follow-up (2021) among 268 TGNB people in South Korea. Situational avoidance due to transgender identity within the past 12 months was assessed based on 12 kinds of daily activities (e.g., public bathroom use, job applications, and hospital visits). Past-week depressive symptoms and past 2-week anxiety symptoms were measured with the Center for Epidemiologic Studies-Depression Scale and General Anxiety Disorder Scale, respectively. Results: Of 268 participants, 135 (50.4%) have ever avoided daily activities. The most frequently reported situational avoidance was public bathroom use (32.1%), followed by job applications (24.3%) and hospital visits (12.3%). After adjusting for confounders including baseline depressive symptoms and experience of anti-transgender discrimination, participants with any situational avoidance experience were 1.30 times (95% confidence intervals [CI] = 1.01-1.69) more likely to have anxiety symptoms compared with those without situational avoidance experience. In particular, participants who avoided three or more kinds of daily activities were 1.40 times (95% CI = 1.02-1.93) more likely to have anxiety symptoms than those without any experience of situational avoidance. No association was observed with depressive symptoms. Conclusion: Multilateral interventions including anti-discrimination law enactment are necessary to reduce transphobia and provide support for TGNB people in Korea, thus reducing their fear of participating in daily activities and promoting their mental well-being.

Prevalence of girl and boy child marriage across states and Union Territories in India, 1993-2021: a repeated cross-sectional study.

BACKGROUND: India's success in eliminating child marriage is crucial to the achievement of the Sustainable Development Goal target 5.3. We aimed to estimate the prevalence of child marriage in girls and boys in India and describe its change across 36 states and Union Territories between 1993 and 2021. METHODS: For this cross-sectional study, data from five National Family Health Surveys from 1993, 1999, 2006, 2016, and 2021 were used. The study included 310 721 women aged 20-24 years between 1993 and 2021 and 43 436 men aged 20-24 years between 2006 and 2021. Child marriage was defined as marriage in individuals younger than 18 years for men and women. We calculated the annual change in prevalence during the study period for states and Union Territories and estimated the population headcount of child brides and grooms. FINDINGS: Child marriage declined during 1993 to 2021. The all-India prevalence of child marriage in girls declined from 49·4% (95% CI 48·1-50·8) in 1993 to 22·3% (21·9-22·7) in 2021. Child marriage in boys declined from 7·1% (6·9-30·8) in 2006 to 2·2% (1·8-2·7) in 2021. The largest decreases in child marriage occurred between 2006 and 2016. Between 2016 and 2021, a few states and Union Territories saw an increase in prevalence of child marriage in girls (n=6) and boys (n=8) despite declines in the all-India prevalence. In 2021, 13 464 450 women aged 20-24 years and 1 454 894 men aged 20-24 years were estimated to be married as children. INTERPRETATION: One in five girls and nearly one in six boys are still married below the legal age of marriage in India. There remains an urgent need for strengthened national and state-level policy to eliminate child marriage by 2030. FUNDING: Bill & Melinda Gates Foundation.

Food deprivation among adults in India: an analysis of specific food categories, 2016-2021.

Background: Adult undernourishment remains pervasive throughout India, and often results from food deprivation, which refers to the inadequate consumption of foods with caloric and nutrient significance. Therefore, understanding the extent to which food groups are missing from an individual's diet is essential to understanding the extent to which they are undernourished. Methods: We used data from two National Family Health Surveys conducted in 2016 and 2021 for this cross-sectional analysis. The study population consisted of women and pregnant women between the ages of 15-49, and men between the ages of 15-54. We examined shifts in the percentage of people not consuming dairy, pulses/beans/legumes, dark leafy green vegetables, fruits, eggs, and fish and meat among women, pregnant women, and men between the two time points. We also examined these patterns by household wealth and education, two important markers of socioeconomic status. Findings: Overall, we found that fewer women, pregnant women, and men were not eating each of the six food groups in 2021 than in 2016. Additionally, the gap in food group consumption between women, pregnant women, and men in the lowest and highest socioeconomic groups shrank between 2016 and 2021. Yet, food group deprivation remained most prevalent among those in the lowest socioeconomic groups. The two exceptions for this were for eggs and meat/fish. Nevertheless, the majority of India's poorest and least educated adults are not consuming high-quality protein sources, including dairy, the consumption of which is far more common among wealthier and more educated Indian adults. Interpretation: Our results show that fewer adults were not consuming important food groups in 2021 than in 2016. However, many of India's poorest and least educated adults are still not consuming high-quality sources of protein or fruits, two food groups that are essential for good health. While adults might be getting protein and nutrients from pulses, legumes, beans, and other vegetables, efforts are needed to improve affordability of, and access to, high-quality sources of protein and fruits. Funding: This work was supported by the Bill & Melinda Gates Foundation, INV- 002992.

Small Area Geographic Estimates of Cardiovascular Disease Risk Factors in India.

Importance: With an aging population, India is facing a growing burden of cardiovascular diseases (CVDs). Existing programs on CVD risk factors are mostly based on state and district data, which overlook health disparities within macro units. Objective: To quantify and geovisualize the extent of small area variability within districts in CVD risk factors (hypertension, diabetes, and obesity) in India. Design, Setting, and Participants: This cross-sectional study analyzed nationally representative data from the National Family Health Survey 2019-2021, encompassing individuals aged 15 years or older, for hypertension (n = 1 715 895), diabetes (n = 1 807 566), and obesity (n = 776 023). Data analyses were conducted from July 1, 2022, through August 1, 2023. Exposures: Geographic units consisting of more than 30 000 small areas, 707 districts, and 36 states or Union Territories across India. Main Outcomes and Measures: For primary outcomes, CVD risk factors, including hypertension, diabetes, and obesity, were considered. Four-level logistic regression models were used to partition the geographic variability in each outcome by state or Union Territory (level 4), district (level 3), and small area (level 2) and compute precision-weighted small area estimates. Spatial distribution of district-wide means, within-district small area variability, and their correlation were estimated. Results: The final analytic sample consisted of 1 715 895 individuals analyzed for hypertension (mean [SD] age, 39.8 [17.3] years; 921 779 [53.7%] female), 1 807 566 for diabetes (mean [SD] age, 39.5 [17.2] years; 961 977 [53.2%] female), and 776 023 for obesity (mean [SD] age, 30.9 [10.2] years; 678 782 [87.5%] women). Overall, 21.2% of female and 24.1% of male participants had hypertension, 5.0% of female and 5.4% of men had diabetes, and 6.3% of female and 4.0% of male participants had obesity. For female participants, small areas (32.0% for diabetes, 34.5% for obesity, and 56.2% for hypertension) and states (30.0% for hypertension, 46.6% for obesity, and 52.8% for diabetes) accounted for the majority of the total geographic variability, while districts accounted for the least (13.8% for hypertension, 15.2% for diabetes, and 18.9% for obesity). There were moderate to strong positive correlations between district-wide mean and within-district variability (r = 0.66 for hypertension, 0.94 for obesity, and 0.96 for diabetes). For hypertension, a significant discordance between district-wide mean and within-district small area variability was found. Results were largely similar for male participants across all categories. Conclusions and Relevance: This cross-sectional study found a substantial small area variability, suggesting the necessity of precise policy attention specifically to small areas in program formulation and intervention to prevent and manage CVD risk factors. Targeted action on policy-priority districts with high prevalence and substantial inequality is required for accelerating India's efforts to reduce the burden of noncommunicable diseases.

An environmental justice analysis of air pollution in India.

Due to the lack of timely data on socioeconomic factors (SES), little research has evaluated if socially disadvantaged populations are disproportionately exposed to higher PM2.5 concentrations in India. We fill this gap by creating a rich dataset of SES parameters for 28,081 clusters (villages in rural India and census-blocks in urban India) from the National Family and Health Survey (NFHS-4) using a precision-weighted methodology that accounts for survey-design. We then evaluated associations between total, anthropogenic and source-specific PM2.5 exposures and SES variables using fully-adjusted multilevel models. We observed that SES factors such as caste, religion, poverty, education, and access to various household amenities are important risk factors for PM2.5 exposures. For example, we noted that a unit standard deviation increase in the cluster-prevalence of Scheduled Caste and Other Backward Class households was significantly associated with an increase in total-PM2.5 levels corresponding to 0.127 µg/m3 (95% CI 0.062 µg/m3, 0.192 µg/m3) and 0.199 µg/m3 (95% CI 0.116 µg/m3, 0.283 µg/m3, respectively. We noted substantial differences when evaluating such associations in urban/rural locations, and when considering source-specific PM2.5 exposures, pointing to the need for the conceptualization of a nuanced EJ framework for India that can account for these empirical differences. We also evaluated emerging axes of inequality in India, by reporting associations between recent changes in PM2.5 levels and different SES parameters.