Association between intimate partner violence and nutritional status among Indian women: a latent class analysis approach.

BACKGROUND: Intimate partner violence (IPV) is an unabating public health issue that has numerous negative repercussions for women's health. Its detrimental impact on women's nutritional outcomes has been documented in a few studies from low- and middle-income countries; however, there is a lack of granular understanding in terms of the typology of IPV experiences and their association with nutritional outcomes. This study explores the distinct classes of IPV experience among women in India and examines how these classes are associated with their nutritional outcomes. METHODS: Using data of 60,622 ever-married women aged 15-49 years from the 2019-21 National Family Health Survey (NFHS-5), latent class analysis (LCA) was performed to identify distinct groups of women based on their IPV experiences. BMI was used to assess women's nutritional status, and it was classified as: <18.5 kg/m2 (underweight), 18.5-24.9 kg/m2 (normal) and ≥ 25.0 kg/m2 (overweight). Further, multinomial logistic regression analyses were used to estimate the odds of being underweight or overweight by latent classes of IPV experiences. RESULTS: LCA model identified four distinct IPV experience groups of women: Low Physical and Low Sexual IPV (LPLS-IPV) class (72%); High Physical and Low Sexual IPV (HPLS-IPV) (12.5%); High Sexual and Low Physical IPV (HSLP-IPV) (12%); and High Physical and High Sexual (HPHS-IPV) class (3.5%). The likelihood of being underweight was higher among women in the HPHS-IPV class (aOR: 1.24, 95% CI: 1.08-1.44), followed by those in the HPLS-IPV class (aOR: 1.11, 95% CI: 1.04-1.20). CONCLUSION: The latent class groups found that high physical IPV experiences were associated with women's nutritional outcomes. The experiences of women having both high physical and sexual violence affect women's nutritional outcomes to a greater extent and they are more likely to be undernourished.

Age heterogeneities in child growth and its associated socio-demographic factors: a cross-sectional study in India.

BACKGROUND: The impacts of socio-demographic and environmental risk factors on child growth have been widely documented. However, it remains unclear whether the impacts of such risk factors on child growth have remained static or changed with child's age. The present study aims to assess the underlying age heterogeneities in child growth and its potential determinants over age in under-five children. METHODS: Cross-sectional data on child height (measured as height-for-age z-score, i.e., HAZ) and weight (measured as weight-for-age z-score, i.e., WAZ) and potential confounding factors from India's 2015-16 National Family Health Survey (NFHS) were used to construct anthropometric age-profiles by a number of bio-demographic and socioeconomic characteristics. Further, age-interacted multilevel regression analyses were performed to examine differential effects of such/those risk factors on child height and weight by age. RESULTS: Faltered height and weight growth during first two years of life was noticed in children of all socioeconomic groups studied, albeit with varying magnitude. In case of child's height, factors such as short birth interval, higher birth order, maternal education, household wealth, district level mortality rate have shown strong interaction with child's age during the first 23 months, signifying their age-varying role in different developmental stages of child growth. These factors explain the observed upward and downward shifts in height curve during first two years. Some of these variables (e.g., household wealth) have shown even stronger age interactions after the second birthday of children. For child's weight, interactive effects of most socio-demographic risk factors attenuated parabolically with child's age. CONCLUSIONS: The impacts of several risk factors, measured at the child, mother, community, and district levels, on child growth indicators varied significantly with the child's age. Nutritional interventions aimed at preventing poor linear growth in children in India should consider these underlying age heterogeneities for growth determinants into account.

Double burden of underweight and overweight among Indian adults: spatial patterns and social determinants.

OBJECTIVE: The current study explores the spatial patterns of underweight and overweight among adult men and women in districts of India and identifies the micro-geographical locations where the risks of underweight and overweight are simultaneously prevalent, after accounting for demographic and socio-economic factors. DESIGN: We relied on BMI (weight (kg)/height squared (m2)), a measure of nutritional status among adult individuals, from the 2015-2016 National Family and Health Survey. Underweight was defined as <18·5 kg/m2 and overweight as ≥25·0 kg/m2. SETTING: We adopted Bayesian structured additive quantile regression to model the underlying spatial structure in underweight and overweight burden. PARTICIPANTS: Men aged 15-54 years (sample size: 108 092) and women aged 15-49 years (sample size: 642 002). RESULTS: About 19·7 % of men and 22·9 % of women were underweight, and 19·6 % of men and 20·6 % of women were overweight. Results indicate that malnutrition burden in adults exhibits geographical divides across the country. Districts located in the central, western and eastern regions show higher risks of underweight. There is evidence of substantial spatial clustering of districts with higher risk of overweight in southern and northern India. While finding a little evidence on double burden of malnutrition among population groups, we identified a total of sixty-six double burden districts. CONCLUSIONS: The current study demonstrates that the geographical burden of overweight in Indian adults is yet to surpass that of underweight, but the coexistence of double burden of underweight and overweight in selected regions presents a new challenge for improving nutritional status and necessitates specialised policy initiatives.