Literature DB >> 23167700

Validity of anthropometric measurements to assess body composition, including muscle mass, in 3-year-old children from the SKOT cohort.

Signe M Jensen1, Christian Mølgaard1, Katrine T Ejlerskov1, Line B Christensen1, Kim F Michaelsen1, André Briend2.   

Abstract

Nutritional status of children is commonly assessed by anthropometry both in under and overnutrition. The link between anthropometry and body fat, the body compartment most affected by overnutrition, is well known, but the link with muscle mass, the body compartment most depleted in undernutrition, associated with infections, remains unknown. In this study, we examined the relationship between common anthropometric indices and body composition measured by dual-energy X-ray absorptiometry (DEXA) in a sample of 121 healthy 3-year-old Danish children. Appendicular (arms and legs) lean mass was used to estimate muscle mass. Overall, anthropometric measures were more effective to measure absolute size of fat, lean and muscle mass than their relative sizes. Proportion of the variance explained by anthropometry was 79% for lean mass, 76% for fat mass and 74% for muscle mass. For fat mass and lean mass expressed as percentage of total body mass, this proportion was 51% and 66%, respectively; and for muscle mass as percentage of lean mass it was 34%. All the best reduced multivariate models included weight, skinfold and gender except the model estimating the proportion of muscle mass in lean body mass, which included only mid-upper arm circumference and subscapular skinfold. The power of height in the weight-to-height ratio to determine fat mass proportion was 1.71 with a 95% confidence interval (0.83-2.60) including the value of 2 used in body mass index (BMI). Limitations of anthropometry to assess body composition, and especially for muscle mass as a proportion of lean mass, should be acknowledged.
© 2012 Blackwell Publishing Ltd.

Entities:  

Keywords:  DEXA; anthropometry; assessment of nutritional status; body composition; cohort study; muscle mass

Mesh:

Year:  2012        PMID: 23167700      PMCID: PMC6860213          DOI: 10.1111/mcn.12013

Source DB:  PubMed          Journal:  Matern Child Nutr        ISSN: 1740-8695            Impact factor:   3.092


  23 in total

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Authors:  S B Heymsfield; C McManus; V Stevens; J Smith
Journal:  Am J Clin Nutr       Date:  1982-05       Impact factor: 7.045

8.  Arm muscle indicators and creatinine excretion in children.

Authors:  F L Trowbridge; C D Hiner; A D Robertson
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Authors:  A Briend; M Garenne; B Maire; O Fontaine; K Dieng
Journal:  Eur J Clin Nutr       Date:  1989-10       Impact factor: 4.016

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6.  Descriptive analysis of preschool physical activity and sedentary behaviors - a cross sectional study of 3-year-olds nested in the SKOT cohort.

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7.  Can antenatal diet and lifestyle interventions influence childhood obesity? A systematic review.

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9.  Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA.

Authors:  Katrine T Ejlerskov; Signe M Jensen; Line B Christensen; Christian Ritz; Kim F Michaelsen; Christian Mølgaard
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