Literature DB >> 33653276

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?

Anna Zwierzchowska1, Diana Celebańska2, Barbara Rosołek1, Krystyna Gawlik3, Aleksandra Żebrowska1.   

Abstract

BACKGROUND: The BMI index cannot always be used in people with intellectual disabilities due to neuromuscular coordination disorders and psychological barriers that may hinder conventional body weight measurement. The study aimed to assess the usefulness of BMI and BAI in estimating obesity and body fat in people with intellectual disabilities.
METHODS: The first stage of the research involved 161 people with profound intellectual disabilities. Somatic parameters (BM, BH, WC, HC) were measured and BMI, BAI, WHR were calculated. Fifty seven persons with above-normal BMI and BAI were included in the second stage of the study and biochemical parameters were determined (TC, LDL-cholesterol, HDL-cholesterol, TG, GL).
RESULTS: According to both BMI and BAI classifications, most people were overweight or obese. A high correlation of %BF with BMI and BAI indices was observed (r = 0.78). The sensitivity of both indices was 95.65%. In groups with above-normal BMI and BAI, an upward trend was found for mean values of TC, LDL, TG, and GL, with a simultaneous downward trend for HDL. Statistically significant intergroup differences were recorded for TG and GL (p < 0.05) for both indices (BMI and BAI).
CONCLUSIONS: Our research demonstrated that BAI is complementary to BMI and can be recommended for the estimation of body fat and cardiometabolic risks in people with intellectual disabilities. Due to the ease of measurement, BAI has high utility value.

Entities:  

Keywords:  Body adiposity index; Body mass index; Cardiometabolic risk; Intellectual disabilities

Year:  2021        PMID: 33653276     DOI: 10.1186/s12872-021-01931-9

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  23 in total

1.  Agreement of BMI-Based Equations and DXA in Determining Body-Fat Percentage in Adults With Down Syndrome.

Authors:  Michael R Esco; Brett S Nickerson; Sara C Bicard; Angela R Russell; Phillip A Bishop
Journal:  Adapt Phys Activ Q       Date:  2016-01       Impact factor: 2.929

Review 2.  Body composition determination by bioimpedance: an update.

Authors:  Michel Y Jaffrin
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2009-09       Impact factor: 4.294

3.  The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study.

Authors:  A S Jackson; P R Stanforth; J Gagnon; T Rankinen; A S Leon; D C Rao; J S Skinner; C Bouchard; J H Wilmore
Journal:  Int J Obes Relat Metab Disord       Date:  2002-06

4.  Comparison of body composition analysis methods in clinical routine.

Authors:  T Erselcan; F Candan; S Saruhan; T Ayca
Journal:  Ann Nutr Metab       Date:  2000       Impact factor: 3.374

5.  Body Mass Index, the Most Widely Used But Also Widely Criticized Index: Would a Criterion Standard Measure of Total Body Fat Be a Better Predictor of Cardiovascular Disease Mortality?

Authors:  Francisco B Ortega; Xuemei Sui; Carl J Lavie; Steven N Blair
Journal:  Mayo Clin Proc       Date:  2016-03-02       Impact factor: 7.616

6.  Body adiposity index and cardiovascular health risk factors in Caucasians: a comparison with the body mass index and others.

Authors:  Miquel Bennasar-Veny; Angel A Lopez-Gonzalez; Pedro Tauler; Mey L Cespedes; Teofila Vicente-Herrero; Aina Yañez; Matias Tomas-Salva; Antoni Aguilo
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

7.  Body adiposity index versus body mass index and other anthropometric traits as correlates of cardiometabolic risk factors.

Authors:  Charlene T Lichtash; Jinrui Cui; Xiuqing Guo; Yii-Der I Chen; Willa A Hsueh; Jerome I Rotter; Mark O Goodarzi
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

8.  Comparison of Standing Posture Bioelectrical Impedance Analysis with DXA for Body Composition in a Large, Healthy Chinese Population.

Authors:  Kuen-Tsann Chen; Yu-Yawn Chen; Chia-Wei Wang; Chih-Lin Chuang; Li-Ming Chiang; Chung-Liang Lai; Hsueh-Kuan Lu; Gregory B Dwyer; Shu-Ping Chao; Ming-Kuei Shih; Kuen-Chang Hsieh
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

9.  BMI and BAI as markers of obesity in a Caucasian population.

Authors:  Anna Zwierzchowska; Małgorzata Grabara; Danuta Palica; Adam Zając
Journal:  Obes Facts       Date:  2013-11-06       Impact factor: 3.942

10.  Revisiting the Global Overfat Pandemic.

Authors:  Philip B Maffetone; Paul B Laursen
Journal:  Front Public Health       Date:  2020-02-25
View more
  2 in total

1.  The Impact of Internal Compensatory Mechanisms on Musculoskeletal Pain in Elite Polish Sitting Volleyball Players - a Preliminary Study.

Authors:  Anna Zwierzchowska; Eliza Gawel; Diana Celebanska; Aleksandra Mostowik; Michal Krzysztofik
Journal:  J Hum Kinet       Date:  2022-02-10       Impact factor: 2.193

2.  Musculoskeletal pain as the effect of internal compensatory mechanisms on structural and functional changes in body build and posture in elite Polish sitting volleyball players.

Authors:  Anna Zwierzchowska; Eliza Gawel; Diana Celebanska; Barbara Rosolek
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-03-26
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.