» Articles » PMID: 28990589

Which Anthropometric Measures Best Reflect Neonatal Adiposity?

Overview
Specialty Endocrinology
Date 2017 Oct 10
PMID 28990589
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Studying the determinants and the long-term consequences of fetal adipose accretion requires accurate assessment of neonatal body composition. In large epidemiological studies, in-depth body composition measurement methods are usually not feasible for cost and logistical reasons, and there is a need to identify anthropometric measures that adequately reflect neonatal adiposity.

Methods: In a multiethnic Asian mother-offspring cohort in Singapore, anthropometric measures (weight, length, abdominal circumference, skinfold thicknesses) were measured using standardized protocols in newborn infants, and anthropometric indices (weight/length, weight/length (body mass index, BMI), weight/length (ponderal index, PI)) derived. Neonatal total adiposity was measured using air displacement plethysmography (ADP) and abdominal adiposity using magnetic resonance imaging (MRI). Correlations of the anthropometric measures with ADP- and MRI-based adiposity were assessed using Pearson's correlation coefficients (r), including in subsamples stratified by sex and ethnicity.

Results: Study neonates (n=251) had a mean (s.d.) age of 10.2 (2.5) days. Correlations between ADP-based fat mass (ADP) and anthropometric measures were moderate (r range: 0.44-0.67), with the strongest being with weight/length, weight, BMI and sum of skinfolds (r=0.67, 0.66, 0.62, 0.62, respectively, all P<0.01). All anthropometric measures except skinfold thicknesses correlated more strongly with ADP-based fat-free mass than ADP, indicating that skinfold measures may have more discriminative power in terms of neonatal total body adiposity. For MRI-based measures, weight and weight/length consistently showed strong positive correlations (r⩾0.7) with abdominal adipose tissue compartments. These correlations were consistent in boys and girls, across different ethnic groups, and when conventional determinants of neonatal adiposity were adjusted for potential confounding. Abdominal circumference was not strongly associated with ADP or abdominal fat mass.

Conclusions: Simple anthropometric measures (weight and weight/length) correlated strongly with neonatal adiposity, with some evidence for greater discriminative power for skinfold measures. These simple measures could be of value in large epidemiological studies.

Citing Articles

Assessment of the reliability of at-home caregiver-collected anthropometric measurements.

Ly J, Sosa A, Heidman M, Dixon M, Ostolaza C, Dallabrida S Front Pediatr. 2024; 12:1441321.

PMID: 39296667 PMC: 11408210. DOI: 10.3389/fped.2024.1441321.


Association between Weight for Length and the Severity of Respiratory Morbidity in Preterm Infants.

Alur P, Harvey K, Hart K, Yimer W, Thekkeveedu R Children (Basel). 2024; 11(1).

PMID: 38255404 PMC: 10814862. DOI: 10.3390/children11010091.


Association of Maternal Metabolites and Metabolite Networks with Newborn Outcomes in a Multi-Ancestry Cohort.

Gleason B, Kuang A, Bain J, Muehlbauer M, Ilkayeva O, Scholtens D Metabolites. 2023; 13(4).

PMID: 37110162 PMC: 10145069. DOI: 10.3390/metabo13040505.


Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants.

Rodriguez-Cano A, Pina-Ramirez O, Rodriguez-Hernandez C, Mier-Cabrera J, Villalobos-Alcazar G, Estrada-Gutierrez G Eur J Clin Nutr. 2023; 77(7):748-756.

PMID: 37055482 PMC: 10335931. DOI: 10.1038/s41430-023-01285-9.


INTERGROWTH-21st versus a customized method for the prediction of neonatal nutritional status in hypertensive disorders of pregnancy.

Fernandez-Alba J, Castillo Lara M, Sanchez Mera R, Aragon Baizan S, Gonzalez Macias C, Quintero Prado R BMC Pregnancy Childbirth. 2022; 22(1):136.

PMID: 35183148 PMC: 8857827. DOI: 10.1186/s12884-022-04450-3.


References
1.
Abitbol C, Moxey-Mims M . Chronic kidney disease: Low birth weight and the global burden of kidney disease. Nat Rev Nephrol. 2016; 12(4):199-200. DOI: 10.1038/nrneph.2016.19. View

2.
Modi N, Thomas E, Uthaya S, Umranikar S, Bell J, Yajnik C . Whole body magnetic resonance imaging of healthy newborn infants demonstrates increased central adiposity in Asian Indians. Pediatr Res. 2009; 65(5):584-7. DOI: 10.1203/pdr.0b013e31819d98be. View

3.
Chen L, Tint M, Fortier M, Aris I, Bernard J, Colega M . Maternal Macronutrient Intake during Pregnancy Is Associated with Neonatal Abdominal Adiposity: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) Study. J Nutr. 2016; 146(8):1571-9. PMC: 4973884. DOI: 10.3945/jn.116.230730. View

4.
Wurtz P, Wang Q, Kangas A, Richmond R, Skarp J, Tiainen M . Metabolic signatures of adiposity in young adults: Mendelian randomization analysis and effects of weight change. PLoS Med. 2014; 11(12):e1001765. PMC: 4260795. DOI: 10.1371/journal.pmed.1001765. View

5.
Aris I, Soh S, Tint M, Liang S, Chinnadurai A, Saw S . Body fat in Singaporean infants: development of body fat prediction equations in Asian newborns. Eur J Clin Nutr. 2013; 67(9):922-7. DOI: 10.1038/ejcn.2013.69. View