Literature DB >> 30239583

Validity of the Body Adiposity Index in Predicting Body Fat in Adults: A Systematic Review.

Matheus Santos Cerqueira1,2, Carolina Araújo Dos Santos3, Diego Augusto Santos Silva4, Paulo Roberto Dos Santos Amorim2, João Carlos Bouzas Marins2, Sylvia do Carmo Castro Franceschini3.   

Abstract

The Body Adiposity Index (BAI) is a practical anthropometric method used to measure body fat (BF) percentage (BF%). Recently developed, the validity and precision of BAI has been studied with adult samples of men and women, populations from different countries and ethnicities, varying amounts of BF, and sensitivity to detecting change over time. However, it is still necessary to determine its potential use in clinical practice and epidemiologic studies. Thus, our objective was to verify, through a systematic review, the validity of the BAI in predicting BF% in adults. Two independent researchers performed a search using PubMed, Web of Science, Science Direct, and Scopus databases. In order to be included, the studies had to use dual-energy X-ray absorptiometry (DXA) as a reference method. We excluded studies with samples from individuals with diseases or syndromes that alter the regional distribution of BF%. We included 19 studies with samples on individuals from different continents, varied ethnicities, both sexes, and a wide age range (18-83 y). The concordance of the BAI with DXA assessed by Lin's concordance correlation coefficient showed results classified as poor (pc < 0.90). Bland-Altman plots showed that the BAI produced large individual errors when predicting BF% in all studies using this analysis. The studies were consistent in affirming that the BAI showed limited capacity to estimate BF% in adults. The BAI shows wide individual errors, in agreement with the reference method, and a lack of sensitivity in detecting change in BF% over time. The method presents a systematic error of BF% overestimation in individuals with ≤20% of BF, and underestimation in individuals with >30% of BF, regardless of sex, age, and ethnicity. The results of this systematic review show enough evidence that the BAI does not present satisfying results, and its use is not recommended for BF% determination in adults.

Entities:  

Mesh:

Year:  2018        PMID: 30239583      PMCID: PMC6140443          DOI: 10.1093/advances/nmy043

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  33 in total

1.  Relationship Between Adiposity Indices, Lipodystrophy, and Sarcopenia in HIV-Positive Individuals With and Without Lipodystrophy.

Authors:  Mirele Savegnago Mialich; André Pereira Dos Santos; Bruna Ramos da Silva; Francisco José Albuquerque de Paula; Alceu Afonso Jordão; Anderson Marliere Navarro
Journal:  J Clin Densitom       Date:  2016-07-18       Impact factor: 2.617

2.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

3.  The accuracy of the body adiposity index for predicting body fat percentage in collegiate female athletes.

Authors:  Michael R Esco
Journal:  J Strength Cond Res       Date:  2013-06       Impact factor: 3.775

4.  A better index of body adiposity.

Authors:  Richard N Bergman; Darko Stefanovski; Thomas A Buchanan; Anne E Sumner; James C Reynolds; Nancy G Sebring; Anny H Xiang; Richard M Watanabe
Journal:  Obesity (Silver Spring)       Date:  2011-03-03       Impact factor: 5.002

5.  How well does the body adiposity index capture adiposity change in midlife women?: The SWAN fat patterning study.

Authors:  Bradley M Appelhans; Rasa Kazlauskaite; Kelly Karavolos; Imke Janssen; Howard M Kravitz; Sheila Dugan; John W Burns; Karla Shipp-Johnson; Lynda H Powell
Journal:  Am J Hum Biol       Date:  2012-09-27       Impact factor: 1.937

6.  Concordance of the recently published body adiposity index with measured body fat percent in European-American adults.

Authors:  William Johnson; William C Chumlea; Stefan A Czerwinski; Ellen W Demerath
Journal:  Obesity (Silver Spring)       Date:  2011-11-17       Impact factor: 5.002

7.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

8.  Predictive Validity of the Body Adiposity Index in Overweight and Obese Adults Using Dual-Energy X-ray Absorptiometry.

Authors:  Robinson Ramírez-Vélez; Jorge Enrique Correa-Bautista; Katherine González-Ruíz; Andrés Vivas; Antonio García-Hermoso; Hector Reynaldo Triana-Reina
Journal:  Nutrients       Date:  2016-11-30       Impact factor: 5.717

9.  Comparison of body adiposity index (BAI) and BMI with estimations of % body fat in clinically severe obese women.

Authors:  Allan Geliebter; Deniz Atalayer; Louis Flancbaum; Charlisa D Gibson
Journal:  Obesity (Silver Spring)       Date:  2013-03       Impact factor: 5.002

10.  Association of metabolic syndrome with various anthropometric and atherogenic parameters in the Kazakh population in China.

Authors:  Xiaocui Chen; Chunhui He; Yitong Ma; Yining Yang; Fen Liu; Xiang Ma; Xiaomei Li; Xiang Xie; Bangdang Chen
Journal:  Lipids Health Dis       Date:  2016-09-23       Impact factor: 3.876

View more
  5 in total

1.  Forced Sedentariness and Sports Activity as Factors Differentiating Anthropometric Characteristics, Indices, and Body Composition in People with Disabilities.

Authors:  Anna Zwierzchowska; Barbara Rosołek; Marcin Sikora; Diana Celebańska
Journal:  Biology (Basel)       Date:  2022-06-13

2.  Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model.

Authors:  Zackary S Cicone; Brett S Nickerson; Youn-Jeng Choi; Clifton J Holmes; Bjoern Hornikel; Michael V Fedewa; Michael R Esco
Journal:  Med Sci Sports Exerc       Date:  2021-12-01       Impact factor: 5.411

3.  Is body mass index (BMI) or body adiposity index (BAI) a better indicator to estimate body fat and selected cardiometabolic risk factors in adults with intellectual disabilities?

Authors:  Anna Zwierzchowska; Diana Celebańska; Barbara Rosołek; Krystyna Gawlik; Aleksandra Żebrowska
Journal:  BMC Cardiovasc Disord       Date:  2021-03-02       Impact factor: 2.298

4.  Curcumin Offers No Additional Benefit to Lifestyle Intervention on Cardiometabolic Status in Patients with Non-Alcoholic Fatty Liver Disease.

Authors:  Kaveh Naseri; Saeede Saadati; Zahra Yari; Behzad Askari; Davood Mafi; Pooria Hoseinian; Omid Asbaghi; Azita Hekmatdoost; Barbora de Courten
Journal:  Nutrients       Date:  2022-08-06       Impact factor: 6.706

5.  Biological Well-Being during the "Economic Miracle" in Spain: Height, Weight and Body Mass Index of Conscripts in the City of Madrid, 1955-1974.

Authors:  Elena Sánchez-García; José-Miguel Martinez-Carrión; Jose Manuel Terán; Carlos Varea
Journal:  Int J Environ Res Public Health       Date:  2021-12-07       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.