Accuracy and concordance of anthropometry for measuring regional fat distribution in adults aged 20–55 years
Bibliographic Data
| ID | 19459396 |
|---|---|
| Authors | Aldo Scafoglieri (0000-0002-9692-9513, Vrije Universiteit Brussel, corresponding author), Jonathan Tresignie (0000-0002-7085-535X, Vrije Universiteit Brussel), Steven Provyn (0000-0002-2588-2463, Vrije Universiteit Brussel), Mike Marfell‐Jones (Universal College of Learning), Keith George (0000-0002-5119-6651, Liverpool John Moores University), Jan Pieter Clarys (Vrije Universiteit Brussel), Ivan Bautmans (0000-0002-6820-9586, Vrije Universiteit Brussel) |
| Year | 2013 |
| Volume | 25 |
| Issue | 1 |
| Pages | 63-70 |
| Publication date | 2013-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Human Biology (JOURNAL) |
| Journal identifiers | ISSN: 1042-0533 • E-ISSN: 1520-6300 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajhb.22342 |
| PMID | 23132592 |
| OpenAlex | W1998845768 |
| Language | EN |
| Citations received | 2 |
| References cited | 30 |
Objectives : This study aimed to assess the accuracy and concordance of anthropometrically derived prediction equations for the estimation of regional fat mass (FM) distribution. Methods : Sixty‐two white males and 50 females with a large range of age (20−55 years) and BMI (16.6−33.4 kg/m 2 ) were included. Whole body dual energy X‐ray absorptiometry (DXA) scans were acquired and anthropometric prediction equations for regional FM were developed and cross‐validated. On the basis of the total sample two anthropometrically derived indices of FM distribution $\Big({{{\rm FM}_{{\rm trunk}} } \over {{\rm FM}_{{\rm limbs}} }}$ ratio and ${{{\rm \%FM}_{{\rm trunk}} } \over {{\rm \%FM}_{{\rm legs}} }} \ {\rm ratio}\Big)$ were compared with their DXA analogues. Results : In both sexes multiple linear regression models predicted the regional DXA fat masses with good accuracy ( P arms , 65 g (−1921,2052) for FM trunk , −21 g (−1374,1332) for FM legs , −0.2% (−5.0,4.7) for %FM trunk and −0.5% (−6.8,5.8) for %FM legs . In women mean difference (limits of agreement) were: −86 g (−463,450) for FM arms , 30 g (−1784,1844) for FM trunk , −278 g (−1782,1227) for FM legs , 0.4% (−5.5,6.3) for %FM trunk , and 0.3% (−8.3,8.9) for %FM legs . No systematic (constant and proportional) differences between methods for the determination of FM distribution ratios were found, suggesting method interchangeability. The concordance for subject classification based on t ‐scores according to the National Health and Nutrition Examination Survey (NHANES) was significant ( P ${{{\rm FM}_{{\rm trunk}} } \over {{\rm FM}_{{\rm limbs}} }}$ ratio (κ w = 0.80) and ${{{\rm \%FM}_{{\rm trunk}} } \over {{\rm \%FM}_{{\rm legs}} }}$ ratio (κ w = 0.75). Conclusion : Anthropometric variables offer promise to the development of simple, noninvasive, and inexpensive screening to identify individuals with abnormal FM distribution. The anthropometrically derived indices of FM distribution demonstrate sufficient accuracy for clinical use. Am. J. Hum. Biol., 2013. © 2012 Wiley Periodicals, Inc
Anthropometry · Biology · Concordance · Limits of agreement · Linear regression · Nuclear medicine · Statistics · Trunk · Body Composition Measurement Techniques · Diabetes, Cardiovascular Risks, and Lipoproteins · Mathematics · Medicine · Nutrition and Health in Aging · Internal Medicine
| Citations per year | 0.18 |
|---|---|
| Citation span | 2015 - 2020 (6) |
| Highly cited | No |