Literature DB >> 9926903

Can behavioral risk factors explain the difference in body mass index between African-American and European-American women?

M D Holmes1, M J Stampfer, A M Wolf, C P Jones, D Spiegelman, J E Manson, G A Colditz.   

Abstract

African-American women are heavier than European-American women; the reasons are unknown. The purpose of this study was to examine potentially modifiable reasons for the weight difference among 86,326 female nurses. The determinants of body mass index (BMI) were modelled using the method of linear regression. The findings included the following: mean BMI (kg/m2) was 9.0% (95% CI, 7.8-10.1%) higher among African American (27.3) than among European-American women (25.1) (P<0.0001). However, recalled BMI at age 18 was equal in the two groups (21.4, P=0.98). Multivariate determinants of BMI include age, age 18 BMI, alcohol and calorie intake, exercise, marital status, parity, race, recent intentional weight loss, smoking, and television watching. Even after controlling for these factors, African-American women still had an 8.6% (95% CI, 7.7-9.5%) higher BMI than European-American women. Correction for error in measurement of physical activity attenuated this difference to 6.4% (95% CI, 5.0-7.8%). In conclusion, in this single occupation group, African-American women had a significantly higher BMI than European-American women. Age and measured behavioral factors did not explain this difference. However, imprecision in the measurement of diet and activity may explain this difference in part. Better measurement may help quantify the differences that are as yet unexplained.

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Year:  1998        PMID: 9926903

Source DB:  PubMed          Journal:  Ethn Dis        ISSN: 1049-510X            Impact factor:   1.847


  6 in total

1.  An examination of sexual orientation group patterns in mammographic and colorectal screening in a cohort of U.S. women.

Authors:  S Bryn Austin; Mathew J Pazaris; Lauren P Nichols; Deborah Bowen; Esther K Wei; Donna Spiegelman
Journal:  Cancer Causes Control       Date:  2012-05-22       Impact factor: 2.506

2.  Application of the Rosner-Wei risk-prediction model to estimate sexual orientation patterns in colon cancer risk in a prospective cohort of US women.

Authors:  S Bryn Austin; Mathew J Pazaris; Esther K Wei; Bernard Rosner; Grace A Kennedy; Deborah Bowen; Donna Spiegelman
Journal:  Cancer Causes Control       Date:  2014-05-23       Impact factor: 2.506

3.  Race/ethnicity, life-course socioeconomic position, and body weight trajectories over 34 years: the Alameda County Study.

Authors:  Peter T Baltrus; John W Lynch; Susan Everson-Rose; Trivellore E Raghunathan; George A Kaplan
Journal:  Am J Public Health       Date:  2005-07-28       Impact factor: 9.308

4.  Application of the Rosner-Colditz risk prediction model to estimate sexual orientation group disparities in breast cancer risk in a U.S. cohort of premenopausal women.

Authors:  S Bryn Austin; Mathew J Pazaris; Bernard Rosner; Deborah Bowen; Janet Rich-Edwards; Donna Spiegelman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-03       Impact factor: 4.254

Review 5.  Approaches to uncertainty in exposure assessment in environmental epidemiology.

Authors:  Donna Spiegelman
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

6.  Maternal BMI, IGF-I Levels, and Birth Weight in African American and White Infants.

Authors:  Adriana C Vidal; Amy P Murtha; Susan K Murphy; Kimberly Fortner; Francine Overcash; Nikki Henry; Joellen M Schildkraut; Michele R Forman; Wendy Demark-Wahnefried; Joanne Kurtzberg; Randy Jirtle; Cathrine Hoyo
Journal:  Int J Pediatr       Date:  2013-06-03
  6 in total

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