Age- and Gender-Specific Prevalence of Intellectually Disabled Population in India.

Intellectual disability in India is substantially under-reported, especially amongst females. This study quantifies the prevalence and gender bias in household reporting of intellectual disability by estimating the age-and-gender specific prevalence of the intellectually disabled by education, Socio-Demographic Index (SDI) score, place of residence, (rural/urban) and income of household head. We estimated prevalence (per 100,000) at 179 (95% CI: 173 to 185) for males and 120 (95% CI: 115 to 125) for females. Gender differences declined sharply with increased education, was higher for lower ages and low income and varied little by state development. Under-identification and under-reporting due to stigma are two plausible reasons for the gender differences in prevalence that increase with age.

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.

Crop Fires and Cardiovascular Health - A Study from North India.

We examine the impact of exposure to biomass burning events (primarily crop burning) on the prevalence of hypertension in four North Indian states. We use data from the National Family Health Survey-IV for 2015-16 and employ a multivariate logistic and linear model to estimate the effect of exposure to biomass burning on the prevalence of hypertension and blood pressure, respectively. The adjusted odds ratio of hypertension among individuals living in areas with high intensity of biomass (HIB) burning (defined as exposure to > 100 fire-events during the past 30 days) is 1.15 [95% CI: 1.003-1.32]. The odds ratios further increase at a higher intensity of biomass burning and downwind fires are found to be responsible for the negative effect of fires on cardiovascular health. We also find that the systolic and diastolic blood pressure for older cohorts is significantly higher due to exposure to HIB. We estimate that elimination of HIB would prevent loss of 70-91 thousand DALYs every year and 1.73 to 2.24 Billion USD (in PPP terms) over 5 years by reducing the prevalence of hypertension. Therefore, curbing biomass burning will be associated with significant health and economic benefits in North India.

Association of Maternal History of Neonatal Death With Subsequent Neonatal Death in India.

Importance: Among the United Nations' Sustainable Development Goals is to reduce the neonatal mortality rate to 12 per 1000 live births by 2030. Identifying high-risk pregnancies can help achieve this target in low-resource countries, such as India, which accounts for one-fourth of global neonatal deaths. Objective: To analyze the association of maternal history of neonatal death with subsequent neonatal mortality. Design, Setting, and Participants: This cross-sectional study included a nationally representative sample of singleton live births from multiparous women. Data were obtained from the 2016 National Family Health Survey in India. Data were analyzed from November 2018 to January 2020. Exposures: Maternal history of neonatal death and a comprehensive set of covariates, including socioeconomic environment, maternal anthropometry, and pregnancy care. Main Outcomes and Measures: Subsequent neonatal mortality. Population-attributable risk associated with history of neonatal death was calculated, and sensitivity analyses were performed. Results: The overall study population consisted of 127 336 singleton live births from multiparous women aged 15 to 49 (mean [SD] age, 28.8 [5.2] years) years when the survey was undertaken. In our analytic sample, 11 101 (8.7%) mothers had a history of neonatal death, and 506 of 2224 total neonatal deaths (22.8%) were attributed to women with history of neonatal death. The prevalence of history of neonatal death differed by selected covariates and across states or union territories. Maternal history of neonatal death was associated with significantly higher odds of neonatal mortality (adjusted odds ratio, 2.23; 95% CI, 1.96-2.55), and this remained consistent across different subgroups. The population-attributable risk associated with maternal history of neonatal death was 11.8%. Stronger associations were found for maternal history of multiple neonatal deaths (adjusted odds ratio, 3.50; 95% CI, 2.78-4.41) and in respect to the risk of mortality in early neonatal period (ie, 0-2 completed days) (adjusted odds ratio, 2.45; 95% CI, 2.09-2.86). Conclusions and Relevance: These findings suggest that maternal history of neonatal death is a potentially useful risk factor to identify women and neonates who may need extended and enhanced pregnancy care.

Missing female patients: an observational analysis of sex ratio among outpatients in a referral tertiary care public hospital in India.

OBJECTIVE: To investigate gender discrimination in access to healthcare and its relationship with the patient's age and distance from the healthcare facility. DESIGN AND SETTING: An observational study based on outpatient data from a large referral public hospital in Delhi, India. PARTICIPANTS: Confirmed clinical appointments. PRIMARY AND SECONDARY OUTCOME MEASURES: Estimates from the logistic regression are used to compute sex ratios (male/female) of patient visits with respect to distance from the hospital and age. Missing female patients for each state-a measure of the extent of gender discrimination-is computed as the difference in the actual number of female patients who came from each state and the number of female patients that should have visited the hospital had male and female patients come in the same proportion as the sex ratio of the overall population from the 2011 census. RESULTS: Of 2377028 outpatient visits, excluding obstetrics and gynaecology patients, the overall sex ratio was 1.69 male to one female visit. Sex ratios, adjusted for age and hospital department, increased with distance. The ratio was 1.41 for Delhi, where the facility is located; 1.70 for Haryana, an adjoining state; 1.98 for Uttar Pradesh, a state further away; and 2.37 for Bihar, the state furthest from Delhi. The sex ratios had a U-shaped relationship with age: 1.93 for 0-18 years, 2.01 for 19-30 years, and 1.75 for 60 years or over compared with 1.43 and 1.40 for the age groups 31-44 and 45-59 years, respectively. We estimate there were 402 722 missing female outpatient visits from these four states, which is 49% of the total female outpatient visits for these four states. CONCLUSION: We found gender discrimination in access to healthcare, which was worse for female patients who were in the younger and older age groups, and for those who lived at increasing distances from the hospital.

What explains childhood violence? Micro correlates from VACS surveys.

Violence in childhood is a serious health, social and human rights concern globally, there is, however, little understanding about the factors that explain the various forms of violence in childhood. This paper uses data on childhood violence for 10,042 individuals from four countries. We report Odds Ratios from pooled logit regression analysis with country fixed effects model. There is no gender difference in the overall incidence of childhood violence. The data shows that 78% of girls and 79% of boys have suffered some form of violence before the age of 18 years. Odds of violence are higher among richer households, among individuals who have attended school and among individuals who have been married or in marriage-like arrangements. Individuals who justify wife beating have significantly higher likelihood of having faced violence themselves. Most perpetrators of violence against children - physical, emotional and sexual - are people known to them in their homes and community, and not strangers. There is limited understanding of the factors that explain violence in childhood. This study highlights some key factors that can explain this phenomenon.