Criterion-Related Validity of Field-Based Methods and Equations for Body Composition Estimation in Adults: A Systematic Review

Overview

Journal Curr Obes Rep

Specialty Endocrinology

Date 2022 Nov 12

PMID 36369621

Authors

Nuria Marin-Jimenez

Carolina Cruz-Leon

David Sanchez-Oliva

Jose Jimenez-Iglesias

Israel Caraballo

Carmen Padilla-Moledo

Cristina Cadenas-Sanchez

Magdalena Cuenca-Garcia

Jose Castro-Pinero

Affiliations

Soon will be listed here.

Abstract

Purpose Of Review: Overweight and obesity are associated to health prognosis. Therefore, body composition assessment is an important health outcome, especially in adult population. We analyzed the criterion-related validity of existing field-based methods and equations for body composition estimation in adults aged 19-64 years.

Recent Findings: One hundred studies met inclusion criteria. The field-based methods, waist circumference (WC), body adiposity index (BAI), and body mass index (BMI) are valid to indicate body adiposity. Likewise, several equations, including the classical Durnin/Womersley equation, Jackson/Pollock equation (males), and Jackson, Pollock, and Ward equation (females), are valid to estimate total body fat mass or body fat percentage. Anthropometric field methods can provide a simple, quick, and easy informative indicators of adiposity in adults. Classical equations, such as Durnin/Womersley equation, Jackson/Pollock equation, and Jackson, Pollock, and Ward equation, are still valid to estimate total body fat mass or body fat percentage in adult population. When choosing estimation equations, specific population characteristics, such as age, weight status, or race ethnicity, should be taken into account. (Trial Registration: Registered on PROSPERO (CRD42020194272)).

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References

Cui Z, Truesdale K, Cai J, Stevens J . Evaluation of anthropometric equations to assess body fat in adults: NHANES 1999-2004. Med Sci Sports Exerc. 2014; 46(6):1147-58. DOI: 10.1249/MSS.0000000000000213. View

Wilmore J, BEHNKE A . An anthropometric estimation of body density and lean body weight in young women. Am J Clin Nutr. 1970; 23(3):267-74. DOI: 10.1093/ajcn/23.3.267. View

Gallagher D, Visser M, Sepulveda D, Pierson R, Harris T, Heymsfield S . How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups?. Am J Epidemiol. 1996; 143(3):228-39. DOI: 10.1093/oxfordjournals.aje.a008733. View

Pollock M, Laughridge E, Coleman B, Linnerud A, Jackson A . Prediction of body density in young and middle-aged women. J Appl Physiol. 1975; 38(4):745-9. DOI: 10.1152/jappl.1975.38.4.745. View

Thomas E, Saeed N, Hajnal J, Brynes A, Goldstone A, Frost G . Magnetic resonance imaging of total body fat. J Appl Physiol (1985). 1998; 85(5):1778-85. DOI: 10.1152/jappl.1998.85.5.1778. View

Aandstad A, Holtberget K, Hageberg R, Holme I, Anderssen S . Validity and reliability of bioelectrical impedance analysis and skinfold thickness in predicting body fat in military personnel. Mil Med. 2014; 179(2):208-17. DOI: 10.7205/MILMED-D-12-00545. View

Wattanapenpaiboon N, Lukito W, Strauss B, Hsu-Hage B, Wahlqvist M, Stroud D . Agreement of skinfold measurement and bioelectrical impedance analysis (BIA) methods with dual energy X-ray absorptiometry (DEXA) in estimating total body fat in Anglo-Celtic Australians. Int J Obes Relat Metab Disord. 1998; 22(9):854-60. DOI: 10.1038/sj.ijo.0800672. View

Blew R, Sardinha L, Milliken L, Teixeira P, Going S, Ferreira D . Assessing the validity of body mass index standards in early postmenopausal women. Obes Res. 2002; 10(8):799-808. DOI: 10.1038/oby.2002.108. View

Katch F, McArdle W . Validity of body composition prediction equations for college men and women. Am J Clin Nutr. 1975; 28(2):105-9. DOI: 10.1093/ajcn/28.2.105. View

10.

Ball S, Swan P, DeSimone R . Comparison of anthropometry to dual energy X-ray absorptiometry: a new prediction equation for women. Res Q Exerc Sport. 2004; 75(3):248-58. DOI: 10.1080/02701367.2004.10609158. View

11.

Castro-Pinero J, Delgado-Alfonso A, Gracia-Marco L, Gomez-Martinez S, Esteban-Cornejo I, Veiga O . Neck circumference and clustered cardiovascular risk factors in children and adolescents: cross-sectional study. BMJ Open. 2017; 7(9):e016048. PMC: 5640146. DOI: 10.1136/bmjopen-2017-016048. View

12.

Skoufas E, Kanellakis S, Apostolidou E, Makridi T, Piggiou E, Papassotiriou I . Development and validation of two anthropometric models estimating abdominal fat percentage in Greek adult women and men. Clin Nutr ESPEN. 2018; 28:239-242. DOI: 10.1016/j.clnesp.2018.07.010. View

13.

Macias N, Aleman-Mateo H, Esparza-Romero J, Valencia M . Body fat measurement by bioelectrical impedance and air displacement plethysmography: a cross-validation study to design bioelectrical impedance equations in Mexican adults. Nutr J. 2007; 6:18. PMC: 2020472. DOI: 10.1186/1475-2891-6-18. View

14.

Jackson A, Stanforth P, Gagnon J, Rankinen T, Leon A, Rao D . The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study. Int J Obes Relat Metab Disord. 2002; 26(6):789-96. DOI: 10.1038/sj.ijo.0802006. View

15.

Womersley J . A comparison of the skinfold method with extent of 'overweight' and various weight-height relationships in the assessment of obesity. Br J Nutr. 1977; 38(2):271-84. DOI: 10.1079/bjn19770088. View

16.

Kanellakis S, Manios Y . Validation of five simple models estimating body fat in white postmenopausal women: use in clinical practice and research. Obesity (Silver Spring). 2012; 20(6):1329-32. DOI: 10.1038/oby.2011.403. View

17.

Pollock M, Hickman T, Kendrick Z, Jackson A, Linnerud A, Dawson G . Prediction of body density in young and middle-aged men. J Appl Physiol. 1976; 40(3):300-4. DOI: 10.1152/jappl.1976.40.3.300. View

18.

Cerqueira M, Amorim P, Magalhaes F, Castro E, Franco F, Franceschini S . Validity of body adiposity index in predicting body fat in a sample of Brazilian women. Obesity (Silver Spring). 2013; 21(12):E696-9. DOI: 10.1002/oby.20543. View

19.

Rush E, Plank L, Laulu M, Robinson S . Prediction of percentage body fat from anthropometric measurements: comparison of New Zealand European and Polynesian young women. Am J Clin Nutr. 1997; 66(1):2-7. DOI: 10.1093/ajcn/66.1.2. View

20.

Nickerson B, Esco M, Bishop P, Fedewa M, Snarr R, Kliszczewicz B . Validity of BMI-Based Body Fat Equations in Men and Women: A 4-Compartment Model Comparison. J Strength Cond Res. 2016; 32(1):121-129. DOI: 10.1519/JSC.0000000000001774. View