Introduction: Non-communicable diseases (NCDs) pose a significant health burden in India, with preventable risk factors contributing to their prevalence. In rural populations, inequalities may be reinforced by health risks passed down through generations. Taking a life course perspective, this multigenerational cohort study aims to investigate behavioural, socioecological, and socioeconomic determinants of growth and NCD risk, as well as healthcare access and utilisation among preadolescents and their parents.
View Article and Find Full Text PDFObjectives: To classify under 5-y-old children into normal, short, severe short and tall categories as per WHO (2006) and Indian 2019 synthetic growth charts and to compare the change in the proportion of stunted children based on these two charts.
Methods: This study was done on 1557 (795 boys) apparently healthy children of age group 0-5 y who attended outpatient clinics for routine vaccination and their stature categories were compared on WHO 2006 vs. 2019 Indian synthetic charts.
Objectives: Exocrine pancreatic insufficiency has been demonstrated in type 1 diabetes (T1D); lower concentrations of pancreatic enzymes have been associated with metabolic risk (MR). Influence of puberty and MR factors on serum concentrations of amylase and lipase remain unexplored in Indian youth with T1D. 1) To characterize and predict determinants of serum amylase and lipase concentrations in adolescents/youth with T1D.
View Article and Find Full Text PDFIntroduction: Energy metabolism in type 1 diabetes (T1D) is known to be different. Resting metabolic rate (RMR) accounts for the largest portion of total energy needs. The objective of our study was to assess resting metabolic rate and its determinants in adolescents and young adults with T1D in comparison with age- and gender-matched healthy controls.
View Article and Find Full Text PDFObjectives: Geographic Information System (GIS) mapping, is a novel way to provide insights into spatial distribution of type 1 diabetes (T1D) and associations between T1D outcomes and potential predictors. We aimed to explore GIS in children with T1D, and identify predictors of poor glycemic control.
Methods: Design: Cross-sectional; Participants: 402 children and youth (187 boys) with T1D.