Overweight/Obesity Prevalence among Under-Five Children and Risk Factors in India: A Cross-Sectional Study Using the National Family Health Survey (2015-2016).

The occurrence of overweight and obesity has increased in recent years in India. In this study, we investigate the prevalence and associated risk factors of overweight/obesity among children aged 0-59 months in India. Using data from the 2015-2016 National Family Health Survey-4 (NFHS-4), the research sample included 176,255 children aged 0 to 59 months. Bivariate and multivariate techniques were used to analyze children's risk factors for overweight/obesity. We identified that the prevalence of overweight/obesity among children aged 0-59 was 2.6% in India. The study findings reveal that factors such as child sex, age, birth weight, birth rank, maternal education, number of children, age at marriage, mother's BMI, media exposure, social group, and dietary diversity score were most significantly correlated with childhood overweight and obesity in India. Furthermore, we found that male children (ARR: 1.08) aged between 0 and 11 months (ARR: 3.77) with low birth rank (ARR: 1.24), obese (ARR: 1.81) children whose mothers married after the age of 18 (ARR: 1.15), children who belong to a scheduled tribe family (ARR: 1.46), and children who consumed 7-9 food items (ARR: 1.22) were at highest risk of being overweight and obese. However, breastfeeding (ARR: 0.85) and Muslim families (ARR: 0.87) appeared to be protective factors with respect to childhood overweight and obesity in India. Pertinent public health programs, clinical follow-up, and awareness about sedentary lifestyles can help to reduce overweight/obesity risks in children.

Occurrence of Diarrheal Disease among Under-Five Children and Associated Sociodemographic and Household Environmental Factors: An Investigation Based on National Family Health Survey-4 in Rural India.

Diarrheal disease is a significant public health problem leading to mortality and morbidity among children aged 0-59 months in rural India. Therefore, the rationale of this study was to identify the sociodemographic and environmental predictors associated with diarrhea among under-five children in rural India. A total of 188,521 living children (0-59 months) were studied from the National Family Health Survey-4, (NFHS-4) 2015-2016. Bivariate and binary logistic regression models were carried out from the available NFHS-4 data for selected sociodemographic and environmental predictors to identify the relationship of occurrence of diarrhea using STATA 13.1. In rural India, children aged 12-23 months, 24-35 months, 36-47 months, and 48-59 months were significantly improbable to suffer diarrheal disease. Children of the female sex, as well as children of scheduled tribes (ST) and other backward classes (OBC), were less likely to experience diarrhea. The disease was more likely to occur among children of scheduled castes (SC); Muslim or other religions; children belonging to central, eastern, and western regions; children with low birth weight; as well as children with improper stool disposal and rudimentary roof materials. In the rural parts of India, sociodemographic and household environmental factors were most influential. Effective community education; improved handwashing practices; pure water supply; and proper waste disposal, including building and utilizing latrines, would help reduce the burden of diarrheal disease in children.

Spatial-temporal variations in community mobility during lockdown, unlock, and the second wave of COVID-19 in India: A data-based analysis using Google's community mobility reports.

COVID-19 has been altering all aspects of societal life including community mobility since December 2019. This study analyzes the spatial-temporal variations in human mobility patterns as the influence of COVID-19 during different periods at the state and union territory (UT) levels in India. From the spatial and temporal perspective, we find that change of mobility patterns and variations within states and UTs. The residential mobility has been increased because the mobility towards the home increased during the lockdown and the second wave but during the unlocking period reduced to some extent. There have spatial variations in mobility towards different places within states and UTs during the lockdown and second wave (lockdown to partial lockdown) but overall mobility towards different places like retail, parks, workplace, and transit stations have been reduced in India. During unlocking, mobility has been reduced all over the states and UTs in India but there have spatial-temporal variations within.