Spatial heterogeneity in intimate partner violence across the 640 districts of India: a secondary analysis of a cross-sectional, population-based survey by use of model-based small-area estimation.

BACKGROUND: Although intimate partner violence (IPV) against women is a substantial challenge in India, response is limited by little evidence on substate prevalence. District-level IPV estimates are essential in targeted response and prevention efforts, but cannot be directly calculated from the National Family Health Surveys (NFHS), which is the main source of nationally representative IPV estimates in India. We aimed to use small-area estimation techniques to derive reliable estimates of physical, emotional, and sexual IPV for the 640 districts of India. METHODS: For this secondary analysis of a cross-sectional, population-based survey, we used model-based small-area estimation techniques linking data from the 2015-16 NFHS-4 and the 2011 Indian Population and Housing Census (2011 Indian Census) to derive district-level estimates of physical, emotional, and sexual IPV for the 640 districts of India in the previous 12 months. Only women who had ever been married aged 15-49 years, who were interviewed in NFHS-4, and who were included in the domestic violence module were eligible for inclusion in this analysis. Data collection occurred between Jan 20, 2015, and Dec 4, 2016. The 2011 Indian Census was conducted in all 640 districts from Feb 9 to Feb 28, 2011. It collected information on a range of data including sociodemographic data and housing characteristics. The primary outcomes of this analysis were the district-level mean proportions of women who experienced physical IPV, emotional IPV, and sexual IPV in the previous 12 months. This outcome was estimated for all women aged 15-49 years who had ever been married in the 640 districts of India that were included in the 2011 Indian Census. FINDINGS: 699 686 women aged 15-49 years were interviewed in NFHS-4. One woman per household in a randomly selected 15% of households was chosen for participation in the domestic violence module, resulting in 83 397 (11·9%) of 699 686 women included. Of these 83 397 women, 14 377 (17·2%) were excluded as they had never been married and 3007 (3·6%) were excluded due to privacy limitations. The mean prevalence of physical IPV in the previous 12 months was 22·5% (95% CI 21·9-23·2), of emotional IPV in the previous 12 months was 11·4% (11·0-11·9), and of sexual IPV in the previous 12 months was 5·2% (4·9-5·5). Model-based estimates revealed intrastate and interstate IPV variations. In Bihar, which had the highest state-level physical IPV prevalence (35·1%, 33·3-37·0), district-level estimates varied from 23·5% (23·0-23·9) in Siwan to 42·7% (42·3-43·1) in Purbi Champaran. In Tamil Nadu, which had the highest state-level emotional IPV prevalence (19·0%, 17·4-20·8), district estimates ranged between 13·7% (13·2-14·1) in Kanniyakumari and 30·2% (29·5-30·8) in Sivaganga. Bihar also had the highest state-level sexual IPV prevalence (11·1%, 9·9-12·4), with estimates ranging between 6·3% (6·1-6·6) in Siwan and 18·1% (17·6-18·6) in Saharsa. Across districts, there was substantial spatial clustering of IPV prevalence. INTERPRETATION: This reliable district-level estimation of IPV prevalence in the 640 districts of India has important policy implications. The ability to track substate levels of IPV over time enables the identification of progress in reducing IPV; recognises the heterogeneity of culture and context in India; and informs the targeting of resources, interventions, and prevention programmes to districts with the greatest need. FUNDING: Bill & Melinda Gates Foundation.

Gender and rural-urban differences in hypertension among youth in India: Insights from a large scale survey, 2015-16.

Hypertension is considered one of the most persistent public health issues and the single largest contributor to avoidable morbidity and mortality in India. This study aims to investigate the prevalence and risk factors of hypertension in youths (15-29 years) by gender and rural-urban place of residence. Data from the fourth round of the National Family and Health Survey - 2015-16 (n = 395,207) was utilised for the study. After estimation of the stratified prevalence of hypertension by various characteristics, multivariable logistic regression analysis was conducted to assess the correlates of hypertension. The results revealed that the prevalence of hypertension in youths at the national level varied from 9.16% (Meghalaya) to 3.34% (Delhi). The stratified analysis suggests pronounced gender differences in the prevalence of hypertension among youth with insignificant rural-urban differences, although the prevalence was higher in urban areas. Overall, the prevalence of hypertension was found higher for male youths living in urban areas (7.82%) and females in rural areas (5.08%). Concurrently, results from regression analysis also suggest higher odds of hypertension for males residing in urban areas for a variety of demographic, socioeconomic, and health-risk factors. Advancing age, having no education, living in the northeast region, being overweight/obese and high blood glucose level was significantly associated with a greater likelihood of hypertension for both the gender and place of residence. Public health awareness regarding blood pressure needs to be tailored differently for both males and females considering the place of residence. The study suggests that more research should focus on blood pressure/hypertension among children, adolescents and youth since they point towards adult blood pressure patterns.

Interpregnancy Interval and Child Health Outcomes in India: Evidence from Three Recent Rounds of National Family Health Survey.

INTRODUCTION: Short interpregnancy interval (IPI) is a well-known risk factor for preterm births and low birth weights. However, research on the association between interpregnancy interval (IPI) and health outcomes in children under age 5 is limited in India. We examined the associations between IPI and five child health outcomes in India. METHODS: We used nationally representative cross-sectional data from three rounds of National Family Health Survey (NFHS) conducted in India during 2005-06, 2015-16 and 2019-21 to examine the associations between IPI [categorized as < 12 months, 12-17 months, 18-23 months (ref), 24-35 months, and 36-59 months] and five child health outcomes - neonatal mortality, postneonatal mortality, diarrhea and/or acute respiratory infections (ARI), stunting, and underweight, for the total sample and, secondarily, using sex-stratified analyses. We used multivariable and mother fixed-effects binary logistic regressions to examine the associations. RESULTS: 3% and 2% of infants died during the neonatal and postneonatal period, respectively. Thirteen, 40, and 37% of children had diarrhea and/or ARI, were stunted, and were underweight, respectively. IPI < 12 months was associated with higher odds of diarrhea and/or ARI (OR: 1.11; 95% CI: 1.05-1.18), stunting (OR: 1.13; 95% CI: 1.08-1.18) and underweight (OR: 1.06; 95% CI: 1.01-1.11). Mother fixed-effects adjustments confirmed these associations and also found that births with IPI of 12-17 months and 36-59 months had higher odds of stunting, and IPI of 12-17 months was also associated with higher odds of underweight. DISCUSSION: Our findings indicate that IPIs shorter than 12 months are a risk factor for diarrhea and/or ARI, and IPIs shorter than 12 months and 12-17 months are risk factors for stunting and underweight among children under 5 in India. Mother fixed-effects models allowed us to adjust our estimates for unobserved heterogeneity; this has rarely been done before. Increases in birth spacing may improve child health outcomes in India.

Effect of preterm birth on early neonatal, late neonatal, and postneonatal mortality in India.

Despite India having a high burden of infant deaths and preterm birth, there is a clear lack of studies documenting association between preterm birth and infant mortality in India. Additionally, existing studies have failed to account for unobserved heterogeneity while linking preterm birth with infant mortality. Hence, the present study examines association of preterm birth with early neonatal death (ENND), late neonatal death (LNND), and postneonatal death (PNND) in India. We used the reproductive calendar canvassed in the cross-sectional National Family Health Survey 2015-16 (NFHS-4) to identify preterm births. We used multivariable logistic regression to examine the associations for all births, most-, second most-, and third most- recent births occurred in five years preceding NFHS-4. We use mother fixed-effect logistic regression to confirm the associations among all recent births. Among all births, preterm births were 4.2, 3.8, and 1.7 times as likely as full-term births to die during early neonatal, late neonatal, and postneonatal periods respectively. Among most recent births, preterm births were 4.4, 4.0, and 2.0 times as likely as full-term births to die during early neonatal, late neonatal, and postneonatal periods respectively. Preterm births were also associated with risk of only ENND, LNND, and PNND among the second most recent births. Preterm births were associated with risk of only ENND and LNND among the third most recent births. Preterm births were also associated with ENND, LNND, and PNND in the mother fixed-effects regressions. This study establishes associations of preterm birth with ENND, LNND, and PNND in India using over 0.2 million births that occurred in 5 years preceding one of the largest population-based representative household surveys conducted in any part of the world. Our findings call for programmatic and policy interventions to address the considerable burden of preterm birth in the country.

Short interpregnancy interval and low birth weight births in India: Evidence from National Family Health Survey 2015-16.

Evidence on the effect of interpregnancy interval (IPI) on low birth weight (LBW) births is limited in developing countries including India. Our study aims to examine association between IPI and LBW births in India. We used data from the fourth round of the National Family Health Survey (NFHS-4) conducted in 2015-16 with a representative sample of 52,825 most recent births for examining the association between IPI and LBW. IPI is defined as the gap between the first month in which the index pregnancy was reported in the reproductive calendar (referred to as the month of conception) and the month of pregnancy outcome (including live births and terminations) of preceding pregnancy. Reproductive calendar data were used to estimate IPI. Association between IPI and LBW were examined using multivariable binary logistic regressions. Seventeen percent of the births in our sample were LBW, and more than half (57.6%) of these were accompanied with IPI less than 18 months. Prevalence of LBW births was highest among mother's who had IPI less than six months (19.4%). Regression results, adjusted for control variables, indicate that the risk of LBW was significantly higher among births whose mothers had IPI less than six months (odds ratio: 1.19, 95% CI:1.05-1.36) compared with those whose mothers had IPI between 18 and 23 months. This study provides additional evidence on the association between short IPI (<6 months) and LBW births in India. Promoting spacing methods of family planning is an option that India may consider for increasing the IPI and thereby reducing LBW births. Ensuring recommended iron and folic acid tablets/equivalent syrup and TT injections for every pregnant woman may offset the adverse consequences of shorter IPI.