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Background: Globally by 2030, 38% of the world's population would be overweight, and another 20% would be obese. This has led to rising concerns regarding how swiftly and substantially the world is moving towards this epidemic of "globesity". India too is facing an increased burden of overweight and obese population. The changing dietary patterns are significantly associated with the increasing prevalence of overweight/obesity and related complications, especially among women. Hence, the present study aims to observe the spatial patterns of overweight or obesity among women in reproductive age group in India and factors associated with it. Methods: The study analyzed data from a cross-sectional nationwide household survey, i.e. National Family Health Survey (NFHS-4), 2015–16. The primary outcome variable of this study was overweight/obesity among reproductive-age women, which was measured through the body mass index (BMI) of the women. Bivariate and multivariate logistic regression analysis was used to analyze the data. Additionally, for spatial analysis in terms of overweight/obesity among women in India, univariate and bivariate Moran's I index measurements were used along with the usage of spatial regression models. Results: The value of spatial-autocorrelation for overweight or obese was 0.64, which depicts the moderately high prevalence of the overweight/obesity coverage over districts of India. The overall prevalence overweight/obesity among women in India is around 25% and higher proportion of women from urban areas (37.8%), and non-poor (33.4%) economic group reported to be overweight or obese. From spatial lag model, the lag coefficient was found to be 0.28, implying that a change in the prevalence of overweight/obesity among women in a certain district may statistically lag the prevalence of overweight/obesity by 28% in the neighbouring districts. There were significantly high clustering of overweight/obese women and non-poor wealth quintiles in 132 districts, mainly from states of Punjab, Haryana, Gujarat, Maharashtra, Kerala, Tamil Nadu, Karnataka and Andhra Pradesh. Additionally, there was high-high clustering of overweight/obese women and those who ever had caesarean in 82 districts, mostly from Kerala, Tamil Nadu, Andhra Pradesh and Karnataka. Conclusion: The spatial patterns on the prevalence of overweight and obesity in India show that the women belonging to the southern states' districts are more overweight or obese in comparison to other states. The determinants like older age, higher education, urban residence, higher economic status are the key factors contributing to the prevalence of overweight or obesity among women in the reproductive age group. The study concludes and recommends an urgent need of interventions catering to urban women belonging to higher socio-economic status, to reduce the risks of health consequences due to overweight and obesity. [ABSTRACT FROM AUTHOR]

The aim of this study is to examine diet diversity, predictors associated with it, and its associations with anemia among non-pregnant women of reproductive age in rural India. Baseline data from the Reductions in Anemia through Normative Innovations (RANI) project were used and included 980 non-pregnant women aged 15–49 years from Odisha, India. The Food and Agriculture Organization's Minimum Dietary Diversity for Women (MDD-W) was used to assess diet diversity. Anemia was determined by hemoglobin level and categorized as normal (hemoglobin ≥ 12 g/dL), mild (11 ≤ hemoglobin <12 g/dL) and moderate/severe (hemoglobin < 11 g/dL). Multivariable logistic regression was used to examine factors associated with diet diversity, and multinomial logistic regression for associations between diet diversity and anemia. Forty-four percent of women were classified as having a diverse diet (MDD-W ≥5). Women with higher education level, belonging to a scheduled caste (vs. tribe), and higher body mass index had higher odds of a diversified diet (p <.05 for all). A more diverse diet was associated with 30% of lower odds of mild anemia (odds ratio = 0.7, 95% confidence interval: 0.5–0.98, p =.035), however, no statistically significant associations were found for moderate/severe anemia. Diet diversity was inversely associated with prevalence of mild anemia among non-pregnant women of reproductive age in rural India. [ABSTRACT FROM AUTHOR]