Literature DB >> 22185287

Analysis of body composition methods in a community sample of African American women.

Ygnacio Lopez1, Daniel P O'Connor, Tracey A Ledoux, Rebecca E Lee.   

Abstract

The purposes of the authors in this study were: (1) to determine whether published body mass index and bioelectrical impedance analysis equations agreed with dual energy x-ray absorptiometry body fat percentage measures and (2) to estimate new body mass index and bioelectrical impedance analysis equations in a sample of African American women. Linear regression was used to determine how well 10 body mass index and bioelectrical impedance analysis equations reflected dual energy x-ray absorptiometry body fat percentage measures in this sample of 74 African American women; new body mass index and bioelectrical impedance analysis equations were created using dual energy x-ray absorptiometry body fat percentage measures as the dependent variable. Participants (M = 47.6 years, SD = 7.7) were classified as overweight or obese (BMI Mean BF% = 35.4, SD = 8.2; BIA Mean BF% = 43.3, SD = 6.9; DXA Mean BF% = 41.5, SD = 6.1). R(2) and SEE values indicated that all body mass index and bioelectrical impedance analysis equations were a poorer fit with less precision, and the new bioelectrical impedance analysis equation discussed in this article was a better fit and was more precise. All 10 body mass index and bioelectrical analysis equations inaccurately estimated dual energy x-ray absorptiometry body fat percentage measures in our sample. The new body mass index equation discussed in this article had less estimation bias and more precision than the published body mass index equations and may be a more accurate equation in African American women.

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Mesh:

Year:  2011        PMID: 22185287      PMCID: PMC4552332          DOI: 10.1080/03630242.2011.623222

Source DB:  PubMed          Journal:  Women Health        ISSN: 0363-0242


  33 in total

1.  Bioelectrical impedance analysis prediction equations differ between African Americans and Caucasians, but it is not clear why.

Authors:  D A Schoeller; A Luke
Journal:  Ann N Y Acad Sci       Date:  2000-05       Impact factor: 5.691

2.  Comparison of body composition methods in obese African-American women.

Authors:  Robert L Newton; Anthony Alfonso; Emily York-Crowe; Heather Walden; Marney A White; Donna Ryan; Donald A Williamson
Journal:  Obesity (Silver Spring)       Date:  2006-03       Impact factor: 5.002

3.  Detection of interactions between a dichotomous moderator and a continuous predictor in moderated multiple regression with heterogeneous error variance.

Authors:  Gwowen Shieh
Journal:  Behav Res Methods       Date:  2009-02

4.  Limitations of the bioelectrical impedance method for the assessment of body fat in severe obesity.

Authors:  P Deurenberg
Journal:  Am J Clin Nutr       Date:  1996-09       Impact factor: 7.045

5.  Severely obese have greater LPS-stimulated TNF-alpha production than normal weight African-American women.

Authors:  Michael L Kueht; Brian K McFarlin; Rebecca E Lee
Journal:  Obesity (Silver Spring)       Date:  2008-12-04       Impact factor: 5.002

6.  Cross-validation of generalised body composition equations with diverse young men and women: the Training Intervention and Genetics of Exercise Response (TIGER) Study.

Authors:  Andrew S Jackson; Kenneth J Ellis; Brian K McFarlin; Mary H Sailors; Molly S Bray
Journal:  Br J Nutr       Date:  2008-08-15       Impact factor: 3.718

7.  Is percentage body fat differentially related to body mass index in Hispanic Americans, African Americans, and European Americans?

Authors:  José R Fernández; Moonseong Heo; Steven B Heymsfield; Richard N Pierson; F Xavier Pi-Sunyer; Zimian M Wang; Jack Wang; Matthew Hayes; David B Allison; Dympna Gallagher
Journal:  Am J Clin Nutr       Date:  2003-01       Impact factor: 7.045

8.  How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups?

Authors:  D Gallagher; M Visser; D Sepúlveda; R N Pierson; T Harris; S B Heymsfield
Journal:  Am J Epidemiol       Date:  1996-02-01       Impact factor: 4.897

9.  Validation of tetrapolar bioelectrical impedance method to assess human body composition.

Authors:  H C Lukaski; W W Bolonchuk; C B Hall; W A Siders
Journal:  J Appl Physiol (1985)       Date:  1986-04

10.  Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults.

Authors:  Katherine M Flegal; John A Shepherd; Anne C Looker; Barry I Graubard; Lori G Borrud; Cynthia L Ogden; Tamara B Harris; James E Everhart; Nathaniel Schenker
Journal:  Am J Clin Nutr       Date:  2008-12-30       Impact factor: 7.045

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  5 in total

1.  Relationship of fruit, vegetable, and fat consumption to binge eating symptoms in African American and Hispanic or Latina women.

Authors:  Penny L Wilson; Daniel P O'Connor; Charles D Kaplan; Sharon Bode; Scherezade K Mama; Rebecca E Lee
Journal:  Eat Behav       Date:  2012-01-24

2.  Depression, stress and body fat are associated with binge eating in a community sample of African American and Hispanic women.

Authors:  Heather J Adamus-Leach; Penny L Wilson; Daniel P O'Connor; Paula C Rhode; Scherezade K Mama; Rebecca E Lee
Journal:  Eat Weight Disord       Date:  2013-04-09       Impact factor: 4.652

3.  Improving heart health among Black/African American women using civic engagement: a pilot study.

Authors:  Alison G M Brown; Linda B Hudson; Kenneth Chui; Nesly Metayer; Namibia Lebron-Torres; Rebecca A Seguin; Sara C Folta
Journal:  BMC Public Health       Date:  2017-01-24       Impact factor: 3.295

Review 4.  Validity of Body-Composition Methods across Racial and Ethnic Populations.

Authors:  Malia N M Blue; Grant M Tinsley; Eric D Ryan; Abbie E Smith-Ryan
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 8.701

5.  Sitting time and cardiometabolic risk factors in african american overweight women.

Authors:  Rebecca E Lee; Scherezade K Mama; Ygnacio Lopez Iii
Journal:  J Obes       Date:  2012-04-19
  5 in total

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