Literature DB >> 19436321

How well do waist circumference and body mass index reflect body composition in pre-pubertal children?

N Cameron1, L L Jones, P L Griffiths, S A Norris, J M Pettifor.   

Abstract

OBJECTIVE: To investigate the quantitative relationship between waist circumference (WC) and height (Ht), and subsequently the association between waist circumference index (WCI), body mass index (BMI) and body composition in pre-pubertal children.
DESIGN: Cross-sectional sample (n=227; boys=127) of pre-pubertal black children (age range 8.8-11.0 years) from the Bone Health sub-study of the Bt20 birth cohort study set in Soweto-Johannesburg, South Africa. Measures of height, weight and WC by anthropometry, total and truncal fat and lean mass by dual-energy X-ray absorptiometry were used in the analysis. Pearson's correlation coefficients were used to examine the associations between BMI, WC and body composition outcomes.
RESULTS: WC was independent of height when height was raised to a power of approximately 0.8. BMI and WCI (WC/Ht) were significantly associated with total and truncal fat and lean mass in both sexes (all P<0.001). BMI showed consistently and significantly higher correlations with body composition than WCI and this association was significantly greater for fat mass than lean mass.
CONCLUSION: BMI, rather than WCI, would be a better screening tool for total and truncal fat mass in both sexes before puberty.

Entities:  

Mesh:

Year:  2009        PMID: 19436321      PMCID: PMC2939976          DOI: 10.1038/ejcn.2009.26

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  22 in total

1.  Body fat distribution in pubertal girls quantified by magnetic resonance imaging.

Authors:  C M de Ridder; R W de Boer; J C Seidell; C M Nieuwenhoff; J A Jeneson; C J Bakker; M L Zonderland; W B Erich
Journal:  Int J Obes Relat Metab Disord       Date:  1992-06

2.  Prevalence of metabolic syndrome in adolescents from a north Indian population.

Authors:  R Singh; A Bhansali; R Sialy; A Aggarwal
Journal:  Diabet Med       Date:  2007-02       Impact factor: 4.359

3.  Prediction of intra-abdominal and subcutaneous abdominal adipose tissue in healthy pre-pubertal children.

Authors:  M I Goran; B A Gower; M Treuth; T R Nagy
Journal:  Int J Obes Relat Metab Disord       Date:  1998-06

4.  The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis.

Authors:  T Rankinen; S Y Kim; L Pérusse; J P Després; C Bouchard
Journal:  Int J Obes Relat Metab Disord       Date:  1999-08

5.  Are age references for waist circumference, hip circumference and waist-hip ratio in Dutch children useful in clinical practice?

Authors:  A Miranda Fredriks; Stef van Buuren; Minne Fekkes; S Pauline Verloove-Vanhorick; Jan Maarten Wit
Journal:  Eur J Pediatr       Date:  2005-01-21       Impact factor: 3.183

Review 6.  Body fat measurements in children as predictors for the metabolic syndrome: focus on waist circumference.

Authors:  H David McCarthy
Journal:  Proc Nutr Soc       Date:  2006-11       Impact factor: 6.297

7.  Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y.

Authors:  R W Taylor; I E Jones; S M Williams; A Goulding
Journal:  Am J Clin Nutr       Date:  2000-08       Impact factor: 7.045

8.  Fat distribution and cardiovascular risk factors in obese adolescent girls: importance of the intraabdominal fat depot.

Authors:  S Caprio; L D Hyman; S McCarthy; R Lange; M Bronson; W V Tamborlane
Journal:  Am J Clin Nutr       Date:  1996-07       Impact factor: 7.045

9.  Relation of circumferences and skinfold thicknesses to lipid and insulin concentrations in children and adolescents: the Bogalusa Heart Study.

Authors:  D S Freedman; M K Serdula; S R Srinivasan; G S Berenson
Journal:  Am J Clin Nutr       Date:  1999-02       Impact factor: 7.045

10.  Waist circumference is an independent predictor of insulin resistance in black and white youths.

Authors:  SoJung Lee; Fida Bacha; Neslihan Gungor; Silva A Arslanian
Journal:  J Pediatr       Date:  2006-02       Impact factor: 4.406

View more
  10 in total

1.  Adiposity and cardiovascular risk factors in a large contemporary population of pre-pubertal children.

Authors:  Emanuela Falaschetti; Aroon D Hingorani; Alexander Jones; Marietta Charakida; Nicholas Finer; Peter Whincup; Debbie A Lawlor; George Davey Smith; Naveed Sattar; John E Deanfield
Journal:  Eur Heart J       Date:  2010-10-23       Impact factor: 29.983

Review 2.  Review of commonly used age-based weight estimates for paediatric drug dosing in relation to the pharmacokinetic properties of resuscitation drugs.

Authors:  Clare Francesca Carasco; Penny Fletcher; Ian Maconochie
Journal:  Br J Clin Pharmacol       Date:  2016-03-02       Impact factor: 4.335

3.  Adiposity indices in the prediction of insulin resistance in prepubertal Colombian children.

Authors:  Noel T Mueller; Mark A Pereira; Adriana Buitrago-Lopez; Diana C Rodríguez; Alvaro E Duran; Alvaro J Ruiz; Christian F Rueda-Clausen; Cristina Villa-Roel
Journal:  Public Health Nutr       Date:  2012-08-24       Impact factor: 4.022

4.  Effect of body mass index on peak growth hormone response to provocative testing in children with short stature.

Authors:  Takara L Stanley; Lynne L Levitsky; Steven K Grinspoon; Madhusmita Misra
Journal:  J Clin Endocrinol Metab       Date:  2009-11-04       Impact factor: 5.958

5.  Waist-to-height ratio centiles by age and sex for Japanese children based on the 1978-1981 cross-sectional national survey data.

Authors:  M Inokuchi; N Matsuo; J I Takayama; T Hasegawa
Journal:  Int J Obes (Lond)       Date:  2015-10-07       Impact factor: 5.095

Review 6.  Evidence of an overweight/obesity transition among school-aged children and youth in Sub-Saharan Africa: a systematic review.

Authors:  Stella K Muthuri; Claire E Francis; Lucy-Joy M Wachira; Allana G Leblanc; Margaret Sampson; Vincent O Onywera; Mark S Tremblay
Journal:  PLoS One       Date:  2014-03-27       Impact factor: 3.240

7.  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

8.  Impact of BMI on peak growth hormone responses to provocative tests and therapeutic outcome in children with growth hormone deficiency.

Authors:  Aram Yang; Sung Yoon Cho; Min Jung Kwak; Su Jin Kim; Sung Won Park; Dong-Kyu Jin; Ji-Eun Lee
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

9.  Creation of an adiposity index for children aged 6-8 years: the Gateshead Millennium Study.

Authors:  Mark S Pearce; Peter W James; Maria Franco-Villoria; Kathryn N Parkinson; Angela R Jones; Laura Basterfield; Robert F Drewett; Charlotte M Wright; Ashley J Adamson
Journal:  Biomed Res Int       Date:  2013-09-08       Impact factor: 3.411

10.  Abdominal obesity in German adolescents defined by waist-to-height ratio and its association to elevated blood pressure: the KiGGS study.

Authors:  Katrin Kromeyer-Hauschild; Hannelore Neuhauser; Angelika Schaffrath Rosario; Anja Schienkiewitz
Journal:  Obes Facts       Date:  2013-04-12       Impact factor: 3.942

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.