Anthropometry, body fat and central adiposity in LBW and NBW Indian children aged 3.5 to 4 years

The association of intrauterine and postnatal growth patterns and nutritional status with toddler body composition

BACKGROUND

Growth patterns may be indicative of underlying changes in body composition. However, few studies have assessed the association of growth and body composition in poorly resourced regions experiencing the double-burden of malnutrition exists. Thus, the aims of this study were to investigate the association of intrauterine and postnatal growth patterns with infant body composition at 2 years in a middle-income country.

METHODS

Participants were from the International Atomic Energy Agency Multicentre Body Composition Reference study. Fat mass (FM), fat free mass (FFM), Fat mass index (FMI), fat free mass index (FFMI), and percentage fat mass (%FM) were measured in 113 infants (56 boys and 57 girls), from Soweto, South Africa, using deuterium dilution from 3 to 24 months. Birthweight categories were classified using the INTERGROWTH-21 standards as small (SGA), appropriate (AGA), and large-for gestational age (LGA). Stunting (> -2 SDS) was defined using the WHO child growth standards. Birthweight z-score, conditional relative weight and conditional length at 12 and 24 mo were regressed on body composition at 24 mo.

RESULTS

There were no sex differences in FM, FFM, FMI and FFMI between 3 and 24 mo. SGA and AGA both had significantly higher %FM than LGA at 12 mo. LGA had higher FM at 24 mo. Children with stunting had lower FM (Mean = 1.94, 95% CI; 1.63-2.31) and FFM (Mean = 5.91, 95% CI; 5.58-6.26) at 12 mo than non-stunting, while the reverse was true for FFMI (Mean = 13.3, 95% CI; 12.5-14.2) at 6 mo. Birthweight and conditionals explained over 70% of the variance in FM. CRW at both 12 and 24 mo was positively associated with FM and FMI. CRW at 12 mo was also positively associated with FMI, while CH at 24 mo was negatively associated with both FFMI and FMI in boys.

CONCLUSION

Both LGA and SGA were associated with higher body fat suggesting that both are disadvantaged nutritional states, likely to increase the risk of obesity. Growth patterns through infancy and toddler period (1-2 years) are indicative of body fat, while growth patterns beyond infancy are less indicative of fat-free mass.

Determinants and Predictors of Body Fat in Indian Children and Adolescents

OBJECTIVE

To study determinants and predictors of body fat in Indian children and adolescents.

METHODS

In this cross-sectional study, 5175 children and adolescents [3014 boys, age 12.8 (3) y, 5-18 y] participated. Determinants and predictors of body fat were assessed using partial correlation (corrected for age, and gender) and linear regression.

RESULTS

Fat percentage correlated negatively with the duration of physical activity (r = -0.091, p < 0.01) and sleep (r = -0.044, p = 0.01) and positively with parental body mass index (BMI) (r = 0.202, p < 0.01 for father and r = 0.235, p < 0.01 for mother), and birth weight (r = 0.050, p < 0.01). On linear regression, fat percentage was positively associated with parental BMI and birth weight, and negatively with physical activity and sleep duration. All adiposity markers [BMI standard deviation score (SDS) (r = 0.863, p < 0.01), weight SDS (r = 0.827, p < 0.01) waist to height ratio (r = 0.819, p < 0.01), waist circumference SDS (r = 0.765, p < 0.01) wrist circumference (r = 0.21, p < 0.01), and neck circumference (r = 0.19, p < 0.01)] correlated significantly with fat percentage, showing highest correlation with BMI SDS.

CONCLUSION

Reduced sleep and physical activity are the key modifiable risk factors for adiposity. BMI SDS is the best clinical surrogate of body fat in Indian children and adolescents. There is a need to explore the impact of lifestyle interventions targeting sleep and physical activity on adiposity.