Literature DB >> 23512441

Relationships between direct and indirect measures of central and total adiposity in children: what are we measuring?

Sherman J Bigornia1, Michael P LaValley, Li L Benfield, Andy R Ness, P K Newby.   

Abstract

OBJECTIVE: The relationship between central and total fat measured by anthropometry, dual energy X-ray absorptiometry, and magnetic resonance imaging (MRI) with each other and systolic blood pressure (SBP) was examined. DESIGN AND METHODS: Participants of the Avon Longitudinal Study of Parents and Children were examined at ages 9, 11, 13, and 15 years (n = 3,796-6,567). MRI was available on a subset of children at 11 (n = 156) and 13 (n = 95).
RESULTS: Body mass index (BMI) and waist circumference (WC) were highly correlated (r = 0.84-0.91, across ages), and total body fat mass (TBFM) and trunk fat mass (TFM) were very strongly correlated (r ≥ 0.98). Among boys, BMI vs. WC explained a similar degree of variation in TBFM and TFM (41-71% vs. 43-76%, across age and overweight groups); in girls, BMI accounted for 62-73% variance and WC 47-69%. Adiposity measures were generally similarly correlated with SBP within age groups. Further, the relationship between intra-abdominal adipose tissue (IAAT) volume and adiposity measures did not vary greatly at 11 (0.65-0.67) and 13 (0.64-0.67).
CONCLUSIONS: BMI and WC contain a large amount of overlapping information as evidenced by their high correlation and similarly sized associations with fat mass, SBP, and IAAT. This suggests that WC may be an inadequate marker of central adiposity during childhood.
Copyright © 2013 The Obesity Society.

Entities:  

Mesh:

Year:  2013        PMID: 23512441     DOI: 10.1002/oby.20400

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  9 in total

1.  Are field measures of adiposity sufficient to establish fatness-related linkages with metabolic outcomes in adolescents?

Authors:  O Y Addo; J H Himes
Journal:  Eur J Clin Nutr       Date:  2014-02-26       Impact factor: 4.016

2.  Anthropometric indicators as predictors of total body fat and cardiometabolic risk factors in Chilean children at 4, 7 and 10 years of age.

Authors:  F D Vásquez; C L Corvalán; R E Uauy; J A Kain
Journal:  Eur J Clin Nutr       Date:  2016-11-09       Impact factor: 4.016

3.  Prenatal exposure to vitamin-D from fortified margarine and milk and body size at age 7 years.

Authors:  C B Jensen; M Gamborg; T L Berentzen; T I A Sørensen; B L Heitmann
Journal:  Eur J Clin Nutr       Date:  2015-04-08       Impact factor: 4.016

4.  Gestational and childhood exposure to per- and polyfluoroalkyl substances and cardiometabolic risk at age 12 years.

Authors:  Nan Li; Yun Liu; George D Papandonatos; Antonia M Calafat; Charles B Eaton; Karl T Kelsey; Kim M Cecil; Heidi J Kalkwarf; Kimberly Yolton; Bruce P Lanphear; Aimin Chen; Joseph M Braun
Journal:  Environ Int       Date:  2021-01-06       Impact factor: 9.621

5.  Anthropometric predictors of body fat in a large population of 9-year-old school-aged children.

Authors:  Sílvia M Almeida; José M Furtado; Paulo Mascarenhas; Maria E Ferraz; Luís R Silva; José C Ferreira; Mariana Monteiro; Manuel Vilanova; Fernando P Ferraz
Journal:  Obes Sci Pract       Date:  2016-07-20

6.  The relationship between distribution of body fat mass and carotid artery intima-media thickness in Korean older adults.

Authors:  Jin-Kee Park; Hyuntae Park; Kwi-Baek Kim
Journal:  J Phys Ther Sci       Date:  2015-10-30

7.  Adding anthropometric measures of regional adiposity to BMI improves prediction of cardiometabolic, inflammatory and adipokines profiles in youths: a cross-sectional study.

Authors:  Hanen Samouda; Carine de Beaufort; Saverio Stranges; Benjamin C Guinhouya; Georges Gilson; Marco Hirsch; Julien Jacobs; Sonia Leite; Michel Vaillant; Frédéric Dadoun
Journal:  BMC Pediatr       Date:  2015-10-24       Impact factor: 2.125

8.  Comparison of selected body composition parameters in women using DXA and anthropometric method.

Authors:  Joanna Grzegorczyk; Natalia Woloszyn; Lidia Perenc
Journal:  J Res Med Sci       Date:  2019-08-28       Impact factor: 1.852

9.  The predictive value of anthropometric indices for cardiometabolic risk factors in Chinese children and adolescents: A national multicenter school-based study.

Authors:  Yamei Li; Zhiyong Zou; Jiayou Luo; Jun Ma; Yinghua Ma; Jin Jing; Xin Zhang; Chunyan Luo; Hong Wang; Haiping Zhao; Dehong Pan; Peng Jia
Journal:  PLoS One       Date:  2020-01-21       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.