Literature DB >> 28409754

The clinical utility of anthropometric measures to assess adiposity in a cohort of prematurely born infants: Correlations with MRI fat quantification.

T A Stokes1,2, D Kuehn1,2,3, M Hood4,5, D M Biko4, A Pavey1,2, C Olsen6, C E Hunt1,2.   

Abstract

OBJECTIVE: To correlate magnetic resonance imaging (MRI) of body fat in preterm infants at the time of hospital discharge with same-day anthropometric measures, and to assess the clinical utility of body mass index (BMI), waist circumference (WC), and WC/length ratio as indicators of visceral fat. STUDY
DESIGN: MRI performed prior to NICU discharge in 25 infants born preterm at <32 weeks gestation. Total body fat and visceral fat were quantified using a commercial software program. The Pearson correlation coefficient (r, 95% C.I.) was used to describe strength of association between MRI fat and anthropometric measures.
RESULTS: BMI and weight at discharge were strongly correlated with total body fat (r = 0.95 and 0.89 respectively; p < 0.001). Total body fat as a % of body weight was moderately correlated with weight (r = 0.53), WC (r = 0.52), and BMI (r = 0.47). Weight, BMI, and ponderal index all were found to correlate with total visceral fat (r = 0.65, 0.64, 0.55 respectively) but WC did not (r = 0.28). WC/length ratio was not correlated with any MRI fat measurements.
CONCLUSIONS: BMI and weight at discharge both correlate with MRI fat measurements. Our findings do not support the usefulness of measuring WC or WC/length ratio in preterm infants at term-equivalent age.

Entities:  

Keywords:  Anthropometric measures; body mass index; magnetic resonance imaging (MRI); prematurity

Mesh:

Year:  2017        PMID: 28409754     DOI: 10.3233/NPM-171657

Source DB:  PubMed          Journal:  J Neonatal Perinatal Med        ISSN: 1878-4429


  1 in total

1.  Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.

Authors:  Kwang-Sig Lee; Ho Yeon Kim; Se Jin Lee; Sung Ok Kwon; Sunghun Na; Han Sung Hwang; Mi Hye Park; Ki Hoon Ahn
Journal:  BMC Pregnancy Childbirth       Date:  2021-03-02       Impact factor: 3.007

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.