Literature DB >> 25489489

Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.

Aldo Scafoglieri1, Jan Pieter Clarys2, Erik Cattrysse2, Ivan Bautmans3.   

Abstract

Regional body composition changes with aging. Some of the changes in composition are considered major risk factors for developing obesity related chronic diseases which in turn may lead to increased mortality in adults. The role of anthropometry is well recognized in the screening, diagnosis and follow-up of adults for risk classification, regardless of age. Regional body composition is influenced by a number of intrinsic and extrinsic factors. Therapeutic measures recommended to lower cardiovascular disease risk include lifestyle changes. The aim of this review is to systematically summarize studies that assessed the relationships between anthropometry and regional body composition. The potential benefits and limitations of anthropometry for use in clinical practice are presented and suggestions for future research given.

Entities:  

Keywords:  anthropometry; body composition; prediction formula

Year:  2013        PMID： 25489489      PMCID： PMC4249808          DOI： 10.14366/AD.2014.0500373

Source DB:  PubMed          Journal:  Aging Dis        ISSN： 2152-5250            Impact factor:   6.745


  199 in total

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Journal:  Eur J Clin Nutr       Date:  2000-06       Impact factor: 4.016

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Journal:  Presse Med       Date:  1947-05-24       Impact factor: 1.228

3.  Reliability of upper and lower extremity anthropometric measurements and the effect on tissue mass predictions.

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Journal:  J Biomech       Date:  2008-04-18       Impact factor: 2.712

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Journal:  Am J Epidemiol       Date:  1989-09       Impact factor: 4.897

5.  Arm muscle plus bone area: anthropometry and CAT scan compared.

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Journal:  Am J Clin Nutr       Date:  1988-06       Impact factor: 7.045

6.  Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study.

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Journal:  Lancet       Date:  2005-11-05       Impact factor: 79.321

7.  Do people with similar waist circumference share similar health risks irrespective of height?

Authors:  S D Hsieh; H Yoshinaga
Journal:  Tohoku J Exp Med       Date:  1999-05       Impact factor: 1.848

8.  Prediction of segmental lean mass using anthropometric variables in young adults.

Authors:  Aldo Scafoglieri; Jonathan Tresignie; Steven Provyn; Mike Marfell-Jones; Thomas Reilly; Ivan Bautmans; Jan Pieter Clarys
Journal:  J Sports Sci       Date:  2012-03-27       Impact factor: 3.337

9.  Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality.

Authors:  Abel Romero-Corral; Virend K Somers; Justo Sierra-Johnson; Yoel Korenfeld; Simona Boarin; Josef Korinek; Michael D Jensen; Gianfranco Parati; Francisco Lopez-Jimenez
Journal:  Eur Heart J       Date:  2009-11-20       Impact factor: 29.983

10.  Waist circumference, waist-to-hip ratio and body mass index as predictors of adipose tissue compartments in men.

Authors:  D C Chan; G F Watts; P H R Barrett; V Burke
Journal:  QJM       Date:  2003-06
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  9 in total

1.  Physical workload and obesity have a synergistic effect on work ability among construction workers.

Authors:  Susanne C Tonnon; Suzan R J Robroek; Allard J van der Beek; Alex Burdorf; Hidde P van der Ploeg; Margo Caspers; Karin I Proper
Journal:  Int Arch Occup Environ Health       Date:  2019-04-02       Impact factor: 3.015

2.  Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment.

Authors:  Dieu Ni Thi Doan; Boncho Ku; Kahye Kim; Minho Jun; Kyu Yeong Choi; Kun Ho Lee; Jaeuk U Kim
Journal:  Front Nutr       Date:  2022-06-02

3.  Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a cross-sectional analysis.

Authors:  Justin C Brown; Michael O Harhay; Meera N Harhay
Journal:  Eur J Nutr       Date:  2016-09-10       Impact factor: 5.614

Review 4.  Antimicrobial Dosing in Specific Populations and Novel Clinical Methodologies: Obesity.

Authors:  Manjunath P Pai
Journal:  Clin Pharmacol Ther       Date:  2021-02-28       Impact factor: 6.875

5.  Obesity and Cecal Intubation Time.

Authors:  Deepanshu Jain; Abhinav Goyal; Jorge Uribe
Journal:  Clin Endosc       Date:  2016-02-12

6.  Adiponectin levels in the serum and cerebrospinal fluid of amyotrophic lateral sclerosis patients: possible influence on neuroinflammation?

Authors:  Patrizia Bossolasco; Raffaella Cancello; Alberto Doretti; Claudia Morelli; Vincenzo Silani; Lidia Cova
Journal:  J Neuroinflammation       Date:  2017-04-20       Impact factor: 8.322

7.  Do overweight/obesity and low levels of leisure-time vigorous physical activity moderate the effect of occupational physical activity on self-rated health of construction workers?

Authors:  M Van den Berge; S H Van Oostrom; H F Van der Molen; S J W Robroek; C T J Hulshof; A J Van der Beek; K I Proper
Journal:  Int Arch Occup Environ Health       Date:  2021-10-07       Impact factor: 3.015

8.  Non-linear Associations Between Visceral Adipose Tissue Distribution and Anthropometry-Based Estimates of Visceral Adiposity.

Authors:  Aldo Scafoglieri; Jona Van den Broeck; Erik Cattrysse; Ivan Bautmans; Steven B Heymsfield
Journal:  Front Nutr       Date:  2022-03-24

9.  Evaluation of the Value of Waist Circumference and Metabolomics in the Estimation of Visceral Adipose Tissue.

Authors:  Sebastiaan C Boone; Maarten van Smeden; Frits R Rosendaal; Saskia le Cessie; Rolf H H Groenwold; J Wouter Jukema; Ko Willems van Dijk; Hildo J Lamb; Philip Greenland; Ian J Neeland; Matthew A Allison; Michael H Criqui; Matthew J Budoff; Lars L Lind; Joel Kullberg; Håkan Ahlström; Dennis O Mook-Kanamori; Renée de Mutsert
Journal:  Am J Epidemiol       Date:  2022-03-24       Impact factor: 5.363
  9 in total

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