scholarly journals Fat and Fat-Free Mass of Preterm and Term Infants from Birth to Six Months: A Review of Current Evidence

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 288 ◽  
Author(s):  
Constanze Hamatschek ◽  
Efrah I. Yousuf ◽  
Lea Sophie Möllers ◽  
Hon Yiu So ◽  
Katherine M. Morrison ◽  
...  
Keyword(s):  
Preterm Infants ◽  
Fat Mass ◽  
Infant Nutrition ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Current Evidence ◽  
Term Infants ◽  
Air Displacement Plethysmography ◽  
X Ray ◽  
Postmenstrual Age

To optimize infant nutrition, the nature of weight gain must be analyzed. This study aims to review publications and develop growth charts for fat and fat-free mass for preterm and term infants. Body composition data measured by air displacement plethysmography (ADP) and dual energy X-ray absorptiometry (DXA) in preterm and term infants until six months corrected age were abstracted from publications (31 December 1990 to 30 April 2019). Age-specific percentiles were calculated. ADP measurements were used in 110 studies (2855 preterm and 22,410 term infants), and DXA was used in 28 studies (1147 preterm and 3542 term infants). At term age, preterm infants had higher percent-fat than term-born infants (16% vs. 11%, p < 0.001). At 52 weeks postmenstrual age (PMA), both reached similar percent-fat (24% vs. 25%). In contrast, at term age, preterm infants had less fat-free mass (2500 g vs. 2900 g) by 400 g. This difference decreased to 250 g by 52 weeks, and to 100 g at 60 weeks PMA (5000 g vs. 5100 g). DXA fat-free mass data were comparable with ADP. However, median percent-fat was up to 5% higher with DXA measurements compared with ADP with PMA > 50 weeks. There are methodological differences between ADP and DXA measures for infants with higher fat mass. The cause of higher fat mass in preterm infants at term age needs further investigation.

scholarly journals New charts for the assessment of body composition, according to air-displacement plethysmography, at birth and across the first 6 mo of life

2019 ◽  
Vol 109 (5) ◽  
pp. 1353-1360 ◽  
Author(s):  
Tom Norris ◽  
Sara E Ramel ◽  
Patrick Catalano ◽  
Carol ni Caoimh ◽  
Paola Roggero ◽  
...  
Keyword(s):  
United States ◽  
Body Composition ◽  
Preterm Infants ◽  
Fat Mass ◽  
Gestational Age ◽  
The United States ◽  
Fat Free Mass ◽  
Term Infants ◽  
Air Displacement Plethysmography ◽  
Young Infants

ABSTRACT Background Air-displacement plethysmography (ADP) is a good candidate for monitoring body composition in newborns and young infants, but reference centile curves are lacking that allow for assessment at birth and across the first 6 mo of life. Objective Using pooled data from 4 studies, we aimed to produce new charts for assessment according to gestational age at birth (30 + 1 to 41 + 6 wk) and postnatal age at measurement (1–27 wk). Methods The sample comprised 222 preterm infants born in the United States who were measured at birth; 1029 term infants born in Ireland who were measured at birth; and 149 term infants born in the United States and 57 term infants born in Italy who were measured at birth, 1 and 2 wk, and 1, 2, 3, 4, 5, and 6 mo of age. Infants whose birth weights were <3rd or >97th centile of the INTERGROWTH-21st standard were excluded, thereby ensuring that the charts depict body composition of infants whose birth weights did not indicate suboptimal fetal growth. Sex-specific centiles for fat mass (kg), fat-free mass (kg), and percentage body fat were estimated using the lambda-mu-sigma (LMS) method. Results For each sex and measure (e.g., fat mass), the new charts comprised 2 panels. The first showed centiles according to gestational age, allowing term infants to be assessed at birth and preterm infants to be monitored until they reached term. The second showed centiles according to postnatal age, allowing all infants to be monitored to age 27 wk. The LMS values underlying the charts were presented, enabling researchers and clinicians to convert measurements to centiles and z scores. Conclusions The new charts provide a single tool for the assessment of body composition, according to ADP, in infants across the first 6 mo of life and will help enhance early-life nutritional management.

scholarly journals A comparative study using dual-energy X-ray absorptiometry, air displacement plethysmography, and skinfolds to assess fat mass in preterms at term equivalent age

2020 ◽  
Author(s):  
Dana F. J. Yumani ◽  
Dide de Jongh ◽  
Harrie N. Lafeber ◽  
Mirjam M. van Weissenbruch
Keyword(s):  
Preterm Infants ◽  
Fat Mass ◽  
Dual Energy ◽  
Whole Body ◽  
Body Fat Mass ◽  
Poor Agreement ◽  
Mass Percentage ◽  
Air Displacement Plethysmography ◽  
X Ray ◽  
Equivalent Age

Abstract The aim of this study was to compare whole body composition, generated by air displacement plethysmography (ADP) and dual-energy X-ray absorptiometry (DXA), and to evaluate the potential predictive value of the sum of skinfolds (∑SFT) for whole body composition, in preterm infants at term equivalent age. A convenience sample of sixty-five preterm infants with a mean (SD) gestational age of 29 (1.6) weeks was studied at term equivalent age. Fat mass measured by DXA and ADP were compared and the ability of the ∑SFT to predict whole body fat mass was investigated. There was poor agreement between fat mass percentage measured with ADP compared with DXA (limits of agreement: − 4.8% and 13.7%). A previously modeled predictive equation with the ∑SFT as a predictor for absolute fat mass could not be validated. Corrected for confounders, the ∑SFT explained 42% (ADP, p = 0.001) and 75% (DXA, p = 0.001) of the variance in fat mass percentage. Conclusions: The ∑SFT was not able to accurately predict fat mass and ADP and DXA did not show comparable results. It remains to be elucidated whether or not DXA provides more accurate assessment of whole body fat mass than ADP in preterm infants. Trial registration: NTR5311 What is Known:• Diverse methods are used to assess fat mass in preterm infants. What is New:• This study showed that there is poor agreement between dual-energy X-ray absorptiometry, air displacement plethysmography, and skinfold thickness measurements.• Our results affirm the need for consensus guidelines on how to measure fat mass in preterm infants, to improve the assimilation of data from different studies and the implementation of the findings from those studies.

Fat-free mass and fat mass reference values by dual-energy X-ray absorptiometry (DEXA) in a 20–80 year-old Italian population

2008 ◽  
Vol 27 (1) ◽  
pp. 87-94 ◽  
Author(s):  
Alessandra Coin ◽  
Giuseppe Sergi ◽  
Nadia Minicuci ◽  
Sandro Giannini ◽  
Elisa Barbiero ◽  
...  
Keyword(s):  
Fat Mass ◽  
Reference Values ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Italian Population ◽  
X Ray

scholarly journals Comparison of Dual-Energy X-Ray Absorptiometry (DXA) versus a Multi-frequency Bioelectrical Impedance (InBody 770) Device for Body Composition Assessment after a 4-Week Hypoenergetic Diet

2019 ◽  
Vol 4 (2) ◽  
pp. 23 ◽  
Author(s):  
Antonio ◽  
Kenyon ◽  
Ellerbroek ◽  
Carson ◽  
Burgess ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Intake ◽  
Body Fat ◽  
Fat Mass ◽  
Bioelectrical Impedance ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Percent Body Fat ◽  
Men And Women ◽  
X Ray

The purpose of this investigation was to compare two different methods of assessing body composition (i.e., a multi-frequency bioelectrical impedance analysis (MF-BIA) and dual-energy x-ray absorptiometry (DXA)) over a four-week treatment period in exercise-trained men and women. Subjects were instructed to reduce their energy intake while maintaining the same exercise regimen for a period of four weeks. Pre and post assessments for body composition (i.e., fat-free mass, fat mass, percent body fat) were determined via the MF-BIA and DXA. On average, subjects reduced their energy intake by ~18 percent. The MF-BIA underestimated fat mass and percentage body fat and overestimated fat-free mass in comparison to the DXA. However, when assessing the change in fat mass, fat-free mass or percent body fat, there were no statistically significant differences between the MF-BIA vs. DXA. Overall, the change in percent body fat using the DXA vs. the MF-BIA was −1.3 ± 0.9 and −1.4 ± 1.8, respectively. Our data suggest that when tracking body composition over a period of four weeks, the MF-BIA may be a viable alternative to the DXA in exercise-trained men and women.

scholarly journals Body composition techniques and the four-compartment model in children

2000 ◽  
Vol 89 (2) ◽  
pp. 613-620 ◽  
Author(s):  
David A. Fields ◽  
Michael I. Goran
Keyword(s):  
Body Composition ◽  
Fat Mass ◽  
Total Body Water ◽  
Compartment Model ◽  
Dual Energy ◽  
Air Displacement Plethysmography ◽  
X Ray ◽  
Bod Pod ◽  
Hydrostatic Weighing ◽  
Total Body

The purpose of this study was to compare the accuracy, precision, and bias of fat mass (FM) as assessed by dual-energy X-ray absorptiometry (DXA), hydrostatic weighing (HW), air-displacement plethysmography (PM) using the BOD POD body composition system and total body water (TBW) against the four-compartment (4C) model in 25 children (11.4 ± 1.4 yr). The regression between FM by the 4C model and by DXA deviated significantly from the line of identity (FM by 4C model = 0.84 × FM by DXA + 0.95 kg; R 2 = 0.95), as did the regression between FM by 4C model and by TBW (FM by 4C model = 0.85 × FM by TBW − 0.89 kg; R 2 = 0.98). The regression between FM by the 4C model and by HW did not significantly deviate from the line of identity (FM by 4C model = 1.09 × FM by HW + 0.94 kg; R 2 = 0.95) and neither did the regression between FM by 4C (using density assessed by PM) and by PM (FM by 4C model = 1.03 × FM by PM + 0.88; R 2 = 0.97). DXA, HW, and TBW all showed a bias in the estimate of FM, but there was no bias for PM. In conclusion, PM was the only technique that could accurately, precisely, and without bias estimate FM in 9- to 14-yr-old children.

scholarly journals Identification of and Associations among Low, Middle, and High Body Composition Trajectories from Age 5- to 17-Years

Children ◽  
2020 ◽  
Vol 7 (10) ◽  
pp. 192
Author(s):  
Teresa A. Marshall ◽  
Alexandra M. Curtis ◽  
Joseph E. Cavanaugh ◽  
John J. Warren ◽  
Steven M. Levy
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Clinical Settings ◽  
Fat Mass Index ◽  
X Ray ◽  
Body Composition Measure ◽  
Dxa Scans

Our objective was to identify sex-specific age 5- to 17-year body composition (body mass index (BMI), % body fat, fat mass index, fat-free mass index) trajectories, compare trajectories assigned using age 5 (AGE5) data to those assigned using all available (ALL) data, and compare BMI assignments to other body composition assignments. Cluster analysis was used to identify low, medium, and high trajectories from body composition measures obtained from dual energy x-ray absorptiometry (DXA) scans at 5, 9, 11, 13, 15, and 17 years in a birth cohort followed longitudinally (n = 469). Moderate agreement was observed for comparisons between AGE5 data and ALL data cluster assignments for each body composition measure. Agreement between cluster assignments for BMI and other body composition measures was stronger using ALL data than using AGE5 data. Our results suggest that BMI, % body fat, fat mass index, and fat free mass index trajectories are established during early childhood, and that BMI is a reasonable predictor of body composition appropriate to track obesity in public health and clinical settings.

Limb fat-free mass and fat mass reference values by dual-energy X-ray absorptiometry (DEXA) in a 20–80 year-old italian population

2012 ◽  
Vol 31 (4) ◽  
pp. 506-511 ◽  
Author(s):  
Alessandra Coin ◽  
Sandro Giannini ◽  
Nadia Minicuci ◽  
Giulia Rinaldi ◽  
Mario Pedrazzoni ◽  
...  
Keyword(s):  
Fat Mass ◽  
Reference Values ◽  
Dual Energy ◽  
Fat Free Mass ◽  
Italian Population ◽  
X Ray

scholarly journals Validation of foot-to-foot bioelectrical impedance analysis with dual-energy X-ray absorptiometry in the assessment of body composition in young children: the EarlyBird cohort

2006 ◽  
Vol 96 (6) ◽  
pp. 1163-1168 ◽  
Author(s):  
Joanne Hosking ◽  
Brad S. Metcalf ◽  
Alison N. Jeffery ◽  
Linda D. Voss ◽  
Terence J. Wilkin
Keyword(s):  
Body Composition ◽  
Young Children ◽  
Fat Mass ◽  
Bioelectrical Impedance Analysis ◽  
Large Scale ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Dual Energy ◽  
Fat Free Mass ◽  
X Ray

Foot-to-foot bioelectrical impedance analysis (BIA) is simple and non-invasive, making it particularly suitable for use in children. There is insufficient evidence of the validity of foot-to-foot BIA compared with dual-energy X-ray absorptiometry (DEXA) as the criterion method in healthy young children. Our objective was to assess the validity of foot-to-foot BIA against DEXA in a large cohort of healthy young children. Body composition was measured by foot-to-foot BIA and DEXA in 203 children (mean age 8·9 (sd0·3) years). Bland–Altman and simple linear regression analyses were used to determine agreement between methods. BIA overestimated fat-free mass by a mean of 2·4 % in boys and 5·7 % in girls, while fat mass was underestimated by 6·5 % in boys and 10·3 % in girls. The percentage fat recorded by BIA was, accordingly, also lower than by DEXA (boys 4·8 %; girls 12·8 %). In boys, however, there were correlations between the size of the difference between methods and the size of the measure under consideration such that in smaller boys fat-free mass was underestimated (r − 0·57;P < 0·001) while fat mass and percentage fat were overestimated (r0·74 for fat mass;r0·69 for percentage fat; bothP < 0·001) with the reverse in bigger boys. Mean differences between techniques were greater in the girls than in the boys but in boys only, the direction of the differences was dependent upon the size of the child. Therefore, BIA may be useful for large-scale studies but is not interchangeable with DEXA and should be interpreted with caution in individuals.

Acute Feeding Has Minimal Effect on the Validity of Body Composition and Metabolic Measures: Dual Energy X-ray Absorptiometry and a Multi-compartment Model

2021 ◽  
pp. 1-39
Author(s):  
Abbie E. Smith-Ryan ◽  
Gabrielle J. Brewer ◽  
Lacey M. Gould ◽  
Malia N.M. Blue ◽  
Katie R. Hirsch ◽  
...  
Keyword(s):  
Body Composition ◽  
Measurement Error ◽  
Fat Mass ◽  
Total Error ◽  
Resting Metabolic Rate ◽  
Compartment Model ◽  
Total Sample ◽  
Dual Energy ◽  
Fat Free Mass ◽  
X Ray

Abstract Understanding the effects of acute feeding on body composition and metabolic measures is essential to the translational component and practical application of measurement and clinical use. To investigate the influence of acute feeding on the validity of dual energy x-ray absorptiometry (DXA), a four-compartment model (4C), and indirect calorimetry metabolic outcomes, 39 healthy young adults (n=19 females; age: 21.8± 3.1 yrs, weight; 71.5 ± 10.0 kg) participated in a randomized cross-over study. Subjects were provided one of four randomized meals on separate occasions (high carbohydrate, high protein, ad libitum or fasted baseline) prior to body composition and metabolic assessments. Regardless of macronutrient content, acute feeding increased DXA percent body fat (%fat) for the total sample and females [average constant error (CE):-0.30%; total error (TE): 2.34%), although not significant (p=0.062); the error in males was minimal (CE: 0.11%; TE: 0.86%). DXA fat mass (CE: 0.26 kg; TE: 0.75 kg), lean mass (CE: 0.83 kg; TE: 1.23 kg) were not altered beyond measurement error for the total sample. 4C %fat was significantly impacted from all acute feedings (avg CE: 0.46%; TE: 3.7%). 4C fat mass (CE: 0.71 kg; TE: 3.38 kg) and fat-free mass (CE: 0.55 kg; TE: 3.05 kg) exceeded measurement error for the total sample. Resting metabolic rate was increased for each feeding condition (TE: 398.4 kcal/d). Standard pre-testing fasting guidelines may be important when evaluating DXA and 4C %fat, whereas additional DXA variables (FM, LM) may not be significantly impacted by an acute meal. Measuring body composition via DXA under less stringent pre-testing guidelines may be valid and increase feasibility of testing in clinical settings.

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