| Catalano et al.77 Catalano PM, Thomas AJ, Avallone DA, Amini SB. Anthropometric estimation of neonatal body composition. Am J Obstet Gynecol 1995; 173(4):1176-1181.
|
1995 |
194 |
Cross-sectional |
Develop an anthropometric model to estimate neonatal body composition and prospectively validate the model against total body electric conductivity; and secondarily to compare our anthropometric model to a previously published anthropometric formula with total body electric conductivity |
White, Black, Hispanic, Other |
Weight, length, circumferences of the head, chest, abdomen at the umbilicus, and midportion of the upper and lower extremities, length of the upper and lower limbs skinfold: triceps, subscapular, flank, thigh |
|
Although the correlation of the anthropometric estimates of neonatal body fat appear to be linear with total body electric conductivity estimates throughout the entire range of birth weight examined, the possibility that this anthropometric model may be less predictive of neonatal fat mass in small or growth-restricted neonates cannot be excluded. |
| Deierlein et al.1414 Deierlein AL, Thornton J, Hull H, Paley C, Gallagher D. An anthropometric model to estimate neonatal fat mass using air displacement plethysmography. Nutr Metab (Lond) 2012; 9:21.
|
2012 |
128 |
Cross-sectional |
To develop an anthropometric model to estimate fat mass in neonates using the plethysmography method as a reference |
Multiethnic (Asian, White, Black and Hispanic) |
Gender, ethnicity, gestational age, age, weight, height, abdominal circumference, triceps, subscapular, thigh |
|
The model explained 81% of the variance of the neonatal fat mass |
| Lingwood et al.1111 Lingwood BE, Storm van Leeuwen AM, Carberry AE, Fitzgerald EC, Callaway LK, Colditz PB, Ward LC. Prediction of fat-free mass and percentage of body fat in neonates using bioelectrical impedance analysis and anthropometric measures: validation against the PEA POD. British J Nutr 2012; 107(10):1545-1552.
|
2012 |
77 |
Cohort |
To evaluate the use of bioelectrical impedance analysis to estimate fat-free mass and fat mass percentage; and to compare with estimates based on anthropometric measures (weight and length) and skinfolds |
Caucasian |
Weight, gender, length and impedance (resistance) |
Formulas varied according to the study stage. |
The equation consisting of gender, weight and length was able to predict fat-free mass with a 100 gram error. The use of bioelectrical impedance analysis before three months of age does not increase prediction of fat-free mass and percentage of fat mass in relation to weight. From three months on, inclusion of impedance resulted in a very small increase in the fat-free mass prediction, reducing the error to < 50 grams. |
| Aris et al.88 Aris IM, Soh SE, Tint MT, Liang S, Chinnadurai A, Saw SM, Kwek K, Godfrey KM, Gluckman PD, Chong YS, Yap FK, Lee YS. Body fat in Singaporean infants: development of body fat prediction equations in Asian newborns. Eur J Clin Nutr 2013; 67(9):922-927.
|
2013 |
262 neonates (174 from day 0, 88 from days 1-3 post-delivery) |
Cohort |
Stablish and validate a body composition prediction formula for Asian newborns, and compare the performance of this formula with that of a published equation |
Asian |
Abdominal circumferences, subscapular skinfolds: triceps and subscapular, weight, gender and gestational age |
|
Subscapular skinfolds, weight, gender and gestational age were significant predictors of neonatal fat mass, explaining 81.1% of the variance, but not triceps skinfold or ethnicity |
| Wibæk et al.55 Wibæk R, Kæstel P, Skov SR, Christensen DL, Girma T, Wells JC, Friis H, Andersen GS. Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography. Eur J Clin Nutr 2015; 69(10):1099-1104.
|
2015 |
101 |
Cohort |
To develop a predictive equation of fat-free mass and fat mass using bioelectrical impedance analysis and plethysmography |
Not informed |
Weight, gender, length, age and impedance index |
|
The model explained 95% of the variance of the neonatal fat mass |
| Tint et al.11 Tint MT, Ward LC, Soh SE, Aris IM, Chinnadurai A, Saw SM, Gluckman PD, Godfrey KM, Chong YS, Kramer MS, Yap F, Lingwood B, Lee YS. Estimation of fat-free mass in Asian neonates using bioelectrical impedance analysis. Br J Nutr 2016; 115(6):1033-1042.
|
2016 |
173 |
Cohort |
To develop and validate a prediction equation of fat-free mass based on bioelectrical impedance analysis and anthropometry using air displacement plethysmography as a reference in Asian neonates and to test the applicability of the prediction equations in independent Western cohort |
Not informed |
They developed two models for birth and the second week after delivery: 1) neonate's weight, length and gender, 2) neonate's weight, length, gender and resistance of bioelectrical impedance analysis |
|
Bioelectrical impedance appears to have limited use in predicting fat-free mass in the first few weeks of life compared to simple anthropometry |
| Cauble et al.22 Cauble JS, Dewi M, Hull HR. Validity of anthropometric equations to estimate infant fat mass at birth and in early infancy. BMC Pediatrics 2017; 17:1-8.
|
2017 |
95 (1-3 days), 63 (3 months) |
Cohort |
Validate four newborn fat mass estimation equations in comparison to fat mass measured by air displacement plethysmography at birth and 3 months |
Multiethnic [Asian, Non-Hispanic Black (African American), non-Hispanic White, and Hispanic |
Gender, infant age, infant ethnicity, body weight, length and skinfolds: biceps, triceps, subscapular, thigh and flank |
Validate study |
Bias was detected for the Catalano and Lingwood equations, which suggests that the Catalano and Lingwood equations overestimated fat mass at lower fat mass values and underestimated fat mass values at greater fat mass values. For the Deierlein and Aris equation, no bias was detected. |
| Huvanandana et al.44 Huvanandana J, Carberry AE, Turner RM, Bek EJ, Raynes-Greenow CH, McEwan AL, Jeffery HE. An anthropometric approach to characterising neonatal morbidity and body composition, using air displacement plethysmography as a criterion method. PLoS One 2018; 13(3):e0195193.
|
2018 |
524 |
Cross-sectional |
To develop a linear regression model using a sex-specific approach to directly estimate neonatal fat mass using anthropometric features and thus characterize nutritional status |
|
Low fat mass: weight, length and chest circumference Hight fat mass weight, length, birthweight and head circumference |
NI |
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