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Ecoregion comprises all the environmental factors such as climate, vegetation, geomorphology, and soil taken together. The objectives of this study were to (1) assess differences in growth and body composition (BC) in 9-18-year-old children and adolescents (CA), across six ecoregions of India, (2) evaluate and compare the magnitude of the effect of ecoregional and lifestyle factors (LSF) on growth and BC in urban (U) and rural (R) children and adolescents, and (3) reassess the applicability of Bergmann's Rule and Allen's Rule to humans.Data on 1845 CA (925 boys; 920 girls) were collected (2016-2017) from urban and rural areas of six ecoregions of India. Anthropometric and BC parameters were measured; Z-scores were computed. Lifestyle Index score (LIS) based on LSF-(socioeconomic status [SES], diet, physical activity) was computed (categorized as low, medium, high-indicates better LSF). Univariate analysis was performed to estimate effect size.Significant differences were observed in growth and BC across urban and rural ecoregions. CA with high LIS were taller and heavier than those with low LIS (p .05). Ecoregion had greater effect on growth (Partial eta square (ηDisparities among the six ecoregions were not large enough to fully support Bergmann's Rule and Allen's Rule. Ecoregion had greater effect on growth and BC of rural CA than urban, while lifestyle factors had more effect on the BC of urban CA.

Grip strength (GS) is used as an index of overall health in children. The objectives of our study were to assess GS, gender differences in GS in 9 -18 year old urban (U) and rural (R) Indian children, study association of GS with body composition (BC) and assess determinants. This was part of a multicentre, cross sectional, school-based study (n=1978, mean age 13.3 ± 2.2 years) from 3 U and R states. Anthropometry, BC, dietary intake, physical activity, sunlight exposure and GS (in Kg) measurements were performed. The mean GS increased with age but plateaued in girls after 12 years; was higher in boys (19.6 ± 9.2) than girls (14.3 ± 5.3) (p < 0.05). Mean GS was higher in U (21.05 ± 9.7) than in R boys (17.8 ± 8.2) (p < 0.05), comparable in U (14.9 ± 5.2) and R girls (13.8 ± 5.5). GS in girls remained lower than boys after adjusting for muscle mass (MM). Difference between boys and girls reduced after body size (BMI) correction, but remained low in girls plateauing after 15 years. MM and age were significant determinants of GS in all children. On addition of lifestyle factors, GS was explained to varied degrees, the least in U girls, followed by R girls and R boys and the most in U boys. Conclusion: In boys, nutrition though body size and composition was largely responsible for the differences in GS and in girls, additionally socio-cultural factors also possibly impact GS.

Background: Sitting height (SH) and leg length (LL) help in assessing disproportionate growth. Anthropometric dissimilarity has been observed in different ethnicities.Aim: To (1) study sitting heig...

Among urban and rural Indian children ages 9 to 18 y, we aimed to assess the prevalence and determinants of primary hypertension (PH), and explore the relationship of fat indices and body composition with hypertension.Data from a multicenter study (2016-2017), representative of children (age 9-18 y) from six states were analyzed (n = 1818; urban n = 895). All anthropometric parameters (Z-scores), blood pressure (BP), body composition, and resting metabolic rate (RMR) were measured. Information from a 2-d 24-h diet recall was collected, nutrient and food group intakes were calculated, and physical activity (PA) was assessed. Children were categorized as normotensive or pre-/hypertensive (gt;90supth/suppercentile), and a regression analysis was carried out for determinants.Urban children were significantly taller, heavier, more overweight or obese (25% vs. 11%), pre-/hypertensive (18% vs. 10%), adipose, and had lower RMR/weight than rural children. All hypertensive children had higher fat indices, lower muscle mass, and RMR/weight than those who were normotensive (Plt; 0.05). Rural hypertensive children consumed more junk food, simple carbohydrate (CHO), fat, and sodium than those who were normotensive. RMR (Rsup2/sup = 33%) was found to be an important predictor of BP in rural children and body mass index (Rsup2/sup = 46%) in urban children, followed by central and peripheral obesity, PA, and diet.Our study highlights that rural children are also at risk of developing PH, especially those with a higher intake of junk food and carbohydrate. Another interesting finding was the negative association of PH with RMR/weight, increasing PA, as well as a micronutrient-rich diet with calcium and magnesium vital to prevent PH. Health care policies need to focus on the increasing prevalence of obesity and PH, not only in urban, but also rural children where different strategies may have to be applied.

OBJECTIVES: Among urban (U) and rural (R) Indian children ages 9–18 years, we aimed to (1) assess prevalence and determinants of primary hypertension (PH) (2) evaluate differences in fat indices (BMI, waist circumference, tricep skinfold thickness), body composition (BC, fat and muscle mass (MM)), weight-adjusted resting metabolic rate (RMR/Wt), diet, and physical activity (PA). METHODS: Date from 2016–2017 Multicentre Study, representative of children (9–18 yrs) from 5 states, were analysed (n = 1818, urban 895, rural = 923). All anthropometric parameters (Z-scores were calculated), BP, BC, RMR were measured. Two day 24 hrs diet recall was collected, nutrient and food group intakes were calculated; PA was assessed. Children and adolescents were categorised as normo or pre + hypertensive (>90th percentile) and Students t-tests, chi-sq tests, and ANOVA used for comparison, regression analysis was carried out for determinants. RESULTS: U children and adolescents were significantly taller, heavier, overweight + obese (25 vs 11%), pre + hypertensive (18 vs 10%), adipose and had lower RMR/Wt. All children with PH had higher fat indices, and lower MM and RMR/Wt than normotensives (P

Objective and Aims: Overweight/obese children are at risk of developing type 2 diabetes mellitus. Random glucose elevations provide early warning signs of glycemic dysregulation. To assess random blood glucose (RBG) concentrations and risk factors associated with prediabetes in children aged 3-18 years from six Indian regions. Method: Multicenter, cross sectional, observational school-based study; multi-stage stratified random sampling was carried out. Height and weight measured; body mass index (BMI) was computed. RBG measured using a glucometer. National sample survey was used for dietary patterns. Data were analyzed using SPSS 25.0 for Windows. Setting: Study centers were from Maharashtra, Gujarat, Chhattisgarh, Assam, Tamil Nadu and Punjab from 40 selected schools. Participant: Children aged 3-18 years were measured. Results: Data on 14339 subjects (7413 boys) were analyzed. Prevalence of obesity was 5.8% and overweight-10.6%. Overall, 1% had low (7.2 mmol/L). With increasing mean BMI, there was increase in RBG concentrations. Children from Tamil Nadu were more likely to have RBG outside reference range compared to other regions (P < 0.05). Assam and Punjab had highest prevalence of RBG and BMI within reference range. Energy intake partly explained regional variations. Multivariate analysis showed male gender, urban residency, age >10 yrs (girls) and 13 yrs (boys), and overweight or obesity were predictive of prediabetes. Conclusion: Increased prevalence of overweight, obesity and prediabetes in Indian children are a matter of concern. Regional differences suggest that strategies to prevent obesity and combat perturbations in blood sugar may have to be customized.