Body Composition In Early Life Research Articles

Infant body composition at 6 and 24 months: what are the driving factors?

Background/ObjectiveAvailable evidence on infant body composition is limited. This study aimed to investigate factors associated with body composition at 6 and 24 months.Subjects/MethodsMulticenter study with data from a 0 to 6-mo cohort (Australia, India and South Africa) and a 3 to 24-mo cohort (Brazil, Pakistan, South Africa, and Sri Lanka). For the 0–6-mo cohort, body composition was assessed by air-displacement plethysmography (ADP) and for the 3–24-month cohort by the deuterium dilution (DD) technique. Fat mass (FM), fat-free mass (FFM), FM index (FMI), and FFM index (FFMI) were calculated. Independent variables comprised the Gini index of the country, maternal and infant characteristics, and breastfeeding pattern at 3 months. For the 3–24-mo cohort, breastfeeding, and minimum dietary diversity (MDD) at 12 months were also included. Crude and adjusted analyses stratified by sex were conducted by multilevel modelling using mixed models.ResultsAt 6 months, every 1 kg increase in birth weight was associated with an increase of 0.716 kg in FFM and 0.582 kg/m2 in FFMI in girls, whereas in boys, the increase was of 0.277 kg in FFM. At 24 months, compared to those weaned before 12 months, girls still breastfed at 12 months presented a decrease of 0.225 kg in FM, 0.645 kg in FFM and 0.459 kg/m2 in FFMI, and in boys the decreases were of 0.467 kg in FM, 0.603 kg in FFM and 0.628 kg/m2 in FFMI.ConclusionBirth weight and breastfeeding are independent predictors of body composition in early life, irrespective of sex.

Associations between Stunting, Wasting and Body Composition: A Longitudinal Study in 6- to 15-Month-Old Kenyan Children

BackgroundEarly growth and body composition may influence the risk of obesity and health in adulthood. Few studies have examined how undernutrition is associated with body composition in early life. ObjectivesWe assessed stunting and wasting as correlates of body composition in young Kenyan children. MethodsNested in a randomized controlled nutrition trial, this longitudinal study assessed fat and fat-free mass (FM, FFM) using deuterium dilution technique among children at age 6 and 15 months. This trial was registered at http://controlled-trials.com/ (ISRCTN30012997). Cross-sectional and longitudinal associations between z-score categories of length-for-age (LAZ) or weight-for-length (WLZ) and FM, FFM, fat mass index (FMI), fat-free mass index (FFMI), triceps, and subscapular skinfolds were analyzed by linear mixed models. ResultsAmong the 499 children enrolled, breastfeeding declined from 99% to 87%, stunting increased from 13% to 32%, and wasting remained at 2% to 3% between 6 and 15 mo. Compared with LAZ >0, stunted children had a 1.12 kg (95% CI: 0.88, 1.36; P < 0.001) lower FFM at 6 mo and increased to 1.59 kg (95% CI: 1.25, 1.94; P < 0.001) at 15 mo, corresponding to differences of 18% and 17%, respectively. When analyzing FFMI, the deficit in FFM tended to be less than proportional to children’s height at 6 mo (P ≤ 0.060) but not at 15 mo (P > 0.40). Stunting was associated with 0.28 kg (95% CI: 0.09, 0.47; P = 0.004) lower FM at 6 mo. However, this association was not significant at 15 mo, and stunting was not associated with FMI at any time point. A lower WLZ was generally associated with lower FM, FFM, FMI, and FFMI at 6 and 15 mo. Differences in FFM, but not FM, increased with time, whereas FFMI differences did not change, and FMI differences generally decreased with time. ConclusionsOverall, low LAZ and WLZ among young Kenyan children were associated with reduced lean tissue, which may have long-term health consequences.

344-OR: Body Composition Trajectories from Birth to 5 Years and Hepatic Fat in Early Childhood

Adiposity is an established risk factor for pediatric nonalcoholic fatty liver disease (NAFLD) , but little is known about the influence of body composition changes earlier in life on future NAFLD risk. Here, we examined associations of body composition trajectories from birth to early childhood with hepatic fat (HF) in early childhood in the Colorado Healthy Start cohort. Fat-free mass index (FFMI) , fat mass index (FMI) , and percent fat mass (%FM) were assessed at birth and/or ∼5 yrs in 1,235 children by air displacement plethysmography. At ∼5 yrs, HF was assessed by magnetic resonance imaging in a sub-sample of 285 children. We used a two-stage modeling approach: first, FFMI, FMI, and %FM trajectories were estimated using mixed models with random intercepts and slopes; second, associations of participant-specific deviations with HF were assessed by linear regression adjusted for confounders. As shown in Table 1, random intercepts for FFMI, FMI, and %FM at birth were all inversely associated with HF in early childhood; whereas %FM slope (i.e., velocity) from birth to ∼5 years was associated with higher HF. These findings suggest that smaller weight at birth, followed by greater gains in %FM are associated with higher HF in early childhood. This supports an influence of early life body composition patterns on HF susceptibility and the importance of perinatal strategies aiming to promote healthy adiposity in infancy/childhood. Disclosure C.C. Cohen: None. S.P. Gilley: None. W. Perng: None. K.A. Sauder: None. K. Shankar: None. D.H. Glueck: None. D. Dabelea: None.

Body composition and determinant factors among mother-child pairs (6-8 months) in rural areas of Senegal.

This cross‐sectional study was conducted to determine the association between selected characteristics and body composition of mothers and children in early life. This study included 213 mother–child pairs 6 to 8 months involving in the cohort study of the Research and Development Project conducted in Kaffrine district. The main outcomes were fat‐free mass (FFM) and body fat (BF), measured using deuterium dilution method and anthropometry. Independent variables were sociodemographic, dietary diversity and health characteristics. Descriptive, correlation, bivariate and multiple regression analyses were conducted. According to body mass index (BMI), 23% of mothers were underweight, 12% were overweight/obese and 11% had excess BF. Four per cent of children were below −2 weight‐for‐length z‐score (WLZ), 10% were below −2 length‐for‐age z‐score (LAZ) and 40% had excess BF. Maternal FFM was positively correlated with child FFM (r = 0.25, P = 0.002). Similarly, mothers' BMI, FFM and BF were significantly and positively correlated with children's LAZ. Stepwise regression showed an increased association between minimum dietary diversity (MDD) and WLZ score, FFM and BF of children. Among mothers, being employee and doing reproductive health care were determinants of higher BMI, FFM and BF. This study found a strong association between maternal and child body composition in early life. Adequate diet is the main determinant of children nutritional status. Among the mothers, having a job and doing primary health care seem to be beneficial for the nutritional status. Improvement of women's empowerment, quality of health care and dietary diversity could have a positive impact on maternal and child nutrition.

Anthropometry-based prediction of body fat in infants from birth to 6 months: the Baby-bod study.

Prediction equations generated from anthropometric measures are frequently used to quantify paediatric body composition. We tested the agreeability and predictive power of select (Lingwood and Aris) fat mass prediction equations against body fat measured via ADP; and generated and evaluated new anthropometry-based models for use in the first 6 months of life. Data were obtained from 278 white European Australian infants at birth, 3 and 6 months. Prediction models (i.e. Baby-bod models) were generated for each time point via stepwise linear regression and compared for agreeability with ADP via limits of agreement, mean difference and total bias in Bland-Altman analyses. Predictive power of all equations in comparison to ADP were assessed using linear regression analysis. Overall, there was poor agreeability between percent body fat predicted via published equations and ADP. Proportional bias was detected for both methods (i.e. published equations and Baby-bod models) of body fat prediction. At birth, both Lingwood and BB0 equations overestimated percent body fat at the lower end of the FM spectrum. This trend was repeated at 3 months with all equations displaying a propensity to overestimate body fat at lower FM levels and underestimate at higher FM levels. The results indicate that anthropometry, although less costly and relatively easier to implement, does not always produce comparable results with objective measures such as ADP. Given the importance of the accurate assessment of physical growth, including body composition in early life, it is timely to recommend the increased utilisation of techniques such as ADP.

Bioelectrical Impedance Analysis-An Easy Tool for Quantifying Body Composition in Infancy?

There has been increasing interest in understanding body composition in early life and factors that may influence its evolution. While several technologies exist to measure body composition in infancy, the equipment is typically large, and thus not readily portable, is expensive, and requires a qualified operator. Bioelectrical impedance analysis shows promise as an inexpensive, portable, and easy to use tool. Despite the technique being widely used to assess body composition for over 35 years, it has been seldom used in infancy. This may be related to the evolving nature of the fat-free mass compartment during this period. Nonetheless, a number of factors have been identified that may influence bioelectrical impedance measurements, which, when controlled for, may result in more accurate measurements. Despite this, questions remain in infants regarding the optimal size and placement of electrodes, the standardization of normal hydration, and the influence of body position on the distribution of water throughout the body. The technology requires further evaluation before being considered as a suitable tool to assess body composition in infancy.

Microbiota and Body Composition During the Period of Complementary Feeding.

This study aimed to explore the associations between food group intake, faecal microbiota profile, and body composition during the period of complementary feeding. Diet was assessed using a quantitative food frequency questionnaire, faecal microbiota profile was assessed using 16S rRNA gene sequencing, and body composition was assessed using bioelectrical impedance analysis and dual energy x-ray absorptiometry, in a cohort of 50 infants aged 6 to 24 months of age. During this critical period of microbiota development, age was the strongest predictor of microbiota composition with network analysis revealing a cluster of genera positively associated with age. A separate cluster comprised genera associated with fat mass index with Bifidobacterium showing the strongest correlation with fat mass index (rho = 0.55, P = 0.001, false discovery rate [FDR] = 0.018). Dairy intake was both negatively correlated with Bacteroides (rho = -0.49, P < 0.001, FDR = 0.024) and positively correlated with lean mass index (rho = 0.44, P = 0.007, FDR = 0.024). Antibiotics use in the first month of life had the most striking influence on body composition and was associated with an increase in mean body mass index z score of 1.17 (P = 0.001) and body fat of 3.5% (P = 0.001). Our results suggested that antibiotics use in the first month of life had the most striking influence on body composition in this cohort of infants aged 6 to 24 months, whereas dairy intake interacted with both microbiota and body composition in early life.

Can Basic Characteristics Estimate Body Composition in Early Infancy?

Increasing evidence demonstrates that body composition in early life contributes to the programming of health later in life in both full-term and preterm infants. Given the important role of body composition, the increased availability of easy, noninvasive, and accurate techniques for its assessment has been recommended. The aim of the present study was to identify basic characteristics and anthropometric measurements that best correlate with body composition in infants. Anthropometric measurements and body composition assessed by air-displacement plethysmography were assessed either at birth or at term-corrected age in 1239 infants (654 full-term, 585 preterm). The associations of sex, GA (gestational age), and weight with FFM (fat-free mass) and FM (fat mass) adjusted by length (g/cm) were investigated by multiple linear regression models. Bland-Altman tests were performed, and an equation for calculating FFM was determined. Preterm infants exhibited increased FM and reduced FFM compared with full-term infants (477.6 ± 204 vs 259.7 ± 147 g and 2583 ± 494 vs 2770 ± 364 g, respectively). GA, male sex, and weight were positively associated with FFM (r = 0.806, P < 0.0001; 6.1 g of average bias). GA and male sex were negatively associated with FM, whereas weight was positively associated with FM (r = 0.641, P < 0.0001; 4.9 g of average bias). The assessment of body composition represents the criterion standard. When body composition assessment is not feasible, the equation based on sex, GA, and anthropometric measurements can be useful in predicting body composition in both full-term and preterm infants.

Altered gene expression and metabolism in fetal umbilical cord mesenchymal stem cells correspond with differences in 5-month-old infant adiposity gain

The intrauterine period is a critical time wherein developmental exposure can influence risk for chronic disease including childhood obesity. Using umbilical cord-derived mesenchymal stem cells (uMSC) from offspring born to normal-weight and obese mothers, we tested the hypothesis that changes in infant body composition over the first 5 months of life correspond with differences in cellular metabolism and transcriptomic profiles at birth. Higher long-chain acylcarnitine concentrations, lipid transport gene expression, and indicators of oxidative stress in uMSC-adipocytes were related to higher adiposity at 5 months of age. In uMSC-myocytes, lower amino acid concentrations and global differential gene expression for myocyte growth, amino acid biosynthesis, and oxidative stress were related to lower infant percent fat-free mass at 5 months of age, particularly in offspring of obese mothers. This is the first evidence of human infant adipocyte- or myocyte-related alterations in cellular metabolic pathways that correspond with increased adiposity and lower fat-free mass in early infancy. These pathways might reflect the effects of an adverse maternal metabolic environment on the fetal metabolome and genome. Our findings suggest that programmed differences in infant stem cell metabolism correspond with differences in body composition in early life, a known contributor to obesity risk.

Longitudinal fat mass and visceral fat during the first 6 months after birth in healthy infants: support for a critical window for adiposity in early life.

Body composition in early life influences the development of obesity during childhood and beyond. It is, therefore, important to adequately determine longitudinal body composition during the first months of life. In 203 healthy term infants, we investigated longitudinal body composition, including fat mass percentage (FM%) and fat-free mass (FFM), by air-displacement plethysmography, at 1, 3 and 6 months of age and abdominal visceral fat and abdominal subcutaneous fat, by ultrasound, at 3 and 6 months. We found a significant increase in FM% between 1 and 3 months but not between 3 and 6 months (p < 0.001, p = 0.098, respectively). Girls had higher FM% than boys at 1 and 6 months (p = 0.05, p < 0.001 respectively) and less FFM than boys at 1, 3 and 6 months (p = 0.02, p = 0.02, p < 0.001, respectively). There was a large variation in FM% at all ages even between infants with similar weight standard deviation scores. Visceral fat and abdominal subcutaneous fat did not change between 3 and 6 months. FM% was highly correlated with abdominal subcutaneous fat but not with visceral fat. Changes in FM% occur mainly in the first 3 months of life, and FM%, visceral and abdominal subcutaneous fat do not change between 3 and 6 months, supporting the concept of a critical window for adiposity development in the first three months of life. In addition, our study provides longitudinal reference data of FM%, FFM, visceral fat and abdominal subcutaneous fat during the first 6 months of life.

Maternal and Fetal Determinants of Neonatal Body Composition

Background: Body composition in early life influences the development of obesity during childhood and beyond. It is, therefore, important to adequately determine neonatal body composition. Fetal growth and maternal factors might influence neonatal fat mass percentage (FM%), independent of birth weight. Methods: In 194 healthy neonates, we investigated neonatal body composition, measured by air-displacement plethysmography (PEAPOD), and its associations with estimated fetal weight (EFW), neonatal anthropometric data, maternal preconceptional body mass index (BMI) and maternal weight gain during pregnancy. Results: There was a large variation in neonatal FM%, even in case of a similar birth weight, corrected for gender and gestational age. Neonatal FM% was associated with EFW at 30 and 36 weeks of gestation and with catch-up in weight between 30 and 36 weeks of gestation, but not with EFW at 20 weeks (p < 0.01, p < 0.01 and p = 0.64, respectively). Neonatal FM% was also associated with preconceptional BMI of the mother (p < 0.01). There was no correlation with maternal weight gain. Conclusion: Our study shows that term neonates have a large variation in FM%. Neonatal FM% is associated with EFW at 30 and 36 weeks, catch-up in weight between 30 and 36 weeks of gestation and preconceptional BMI of the mother.

Association of parental body mass index before pregnancy on infant growth and body composition: Evidence from a pregnancy cohort study in Malaysia

Parental body mass index (BMI) is strongly linked with the development of offspring overweight and obesity. However, there are a limited number of studies focusing on the association of parental body mass index before pregnancy on offspring growth and body composition in early life, particularly in developing countries. Data from the University Sains Malaysia (USM) Pregnancy Cohort which consists of 153 mother-offspring pairs were used. Data were collected using interview-administered questionnaires and anthropometric measurements were also obtained. Multiple linear regression and generalised equation estimation (GEE) were used to examine the direction and impact of the association between parental BMI and child growth and body composition (weight for age, height for age, body mass index for age, weight for height and fat mass at age 2m, 6m, and 12m). Potential confounders, including validated measures of maternal diets and physical activity during pregnancy, were considered. Of 153 parents, one-quarter of the mothers and 42.2% of the fathers, respectively, were overweight or obese before pregnancy. A significant association was found between maternal BMI and child's weight for height z-score (WHZ) and body mass index for age z-score (BAZ). Having high pre-pregnancy BMI may increase BMI and WAZ of offspring in early life. Findings from this study emphasise the importance of monitoring maternal weight status, particularly before and during pregnancy and early life of offspring among Malaysians.

Quantity and Timing of Maternal Prenatal Smoking on Neonatal Body Composition: The Healthy Start Study

To examine the dose-dependent and time-specific relationships of prenatal smoking with neonatal body mass, fat mass (FM), fat-free mass (FFM), and FM-to-FFM ratio, as measured by air-displacement plethysmography (PEA POD system). We analyzed 916 mother-neonate pairs participating in the longitudinal prebirth cohort Healthy Start study. Maternal prenatal smoking information was collected in early, middle, and late pregnancy by self-report. Neonatal body composition was measured with the PEA POD system after delivery. Multiple general linear regression models were adjusted for maternal and neonatal characteristics. Each additional pack of cigarettes smoked during pregnancy was associated with significant decreases in neonatal body mass (adjusted mean difference, -2.8g; 95% CI, -3.9 to -1.8g; P<.001), FM (-0.7g; 95% CI,-1.1 to -0.3g; P<.001), and FFM (-2.1g; 95% CI, -2.9 to -1.3g; P<.001). Neonates exposed to prenatal smoking throughout pregnancy had significantly lower body mass (P<.001), FM (P<.001), and FFM (P<.001) compared with those not exposed to smoking. However, neonates of mothers who smoked only before late pregnancy had no significant differences in body mass (P=.47), FM (P=.43), or FFM (P=.59) compared with unexposed offspring. Exposure to prenatal smoking leads to systematic growth restriction. Smoking cessation before late pregnancy may reduce the consequences of exposure to prenatal smoking on body composition. Follow-up of this cohort is needed to determine the influence of catch-up growth on early-life body composition and the risk of childhood obesity.

404 Comparison of Body Fat Estimation Using Skin Fold Thickness Measurement and Simultaneous Air- Displacement Plethysmography at 8 Weeks

Background and aims: There is increasing interest in early life body composition as a predictor of later obesity and metabolic dysfunction. Air displacement plethysmography offers direct measurement of body composition in infants. We wished to examine the reliability of traditional skin fold thickness measurements to estimate body fat composition at 8 weeks of age.Methods: Infants were recruited antenatally as part of a prospective birth cohort study, the BASELINE study. Body composition was assessed at 8 weeks of life in infants using air displacement body plethesmography (%BFADP/). Skin fold thickness (%BFSFT) was measured a triceps and subscapular regions using a Holtain callipers. Body fat was estimated from these readings using the sex specific equations: Males: %BF = 1.21 × ΣSFT - 0.008 × (ΣSFT)2 - 1.7. Females: %BF = 1.33 × ΣSFT - 0.013 × (ΣSFT)2 - 2.5 (ΣSFT=sum of triceps and subscapular skinfold thickness measurements).Results: Data were collected from 151 infants; mean (SD) gestation=39.6 (1.5), birth weight = 3480 (503) grams. The mean (SD) body fat = 21.07(4.01%) using %BFADP and 11.49 (2.20)% using %BFSFT. %BFSFT consistently underestimated body fat. The mean (SD) difference between the 2 methods of measurement was 9.58(0.29)%. This mean (SD) difference increased significantly as %BFADP increased [5.5(2.4) lowest quartile %BFADP vs 13.01(2.10) highest quartile %BFADP, p< 0.0005].Conclusion: We have provided references ranges for infant fat mass at 8 weeks of life. Skin fold thickness calculations underestimate body fat, particularly in infants with the highest body fat %.

Evaluation of body composition in neonates and infants

A better understanding of the nutritional needs of both healthy and sick infants is important. Not only does too much or too little nutrition during early life have long-term effects on health, but periods of rapid growth during the first year of life also have long-term consequences. Knowledge of the changes in body composition in early life can help to better define nutritional needs at these ages. Several methods are available for measuring body composition of neonates and infants. Most focus on an assessment of either body fatness or bone mineralization; only a few can monitor the quality of the non-fat lean tissues. This paper provides an evaluation of the different approaches currently available to monitor infant body composition, identifying both their strengths and limitations.