AI Article Synopsis
- The study investigated how race and ethnicity influence the accuracy of using waist circumference (WC) to estimate abdominal fat.
- It involved 1,255 participants (both men and women) undergoing a 30-week aerobic exercise program, with varied racial/ethnic backgrounds.
- Findings showed that the relationship between waist circumference and abdominal fat differs significantly by race/ethnicity, suggesting that using a one-size-fits-all approach may lead to inaccurate assessments of obesity-related health risks.
Article Abstract
Background/introduction: The purpose of this study was to examine the race/ethnicity bias of using waist circumference (WC) to estimate abdominal fat.
Methods: A total of 771 females and 484 males (17-35 yr) were tested one to three times during a prescribed 30-wk aerobic exercise program. The race/ethnicity distribution for women was non-Hispanic white, 29%; Hispanic, 25%; African American (AA), 35%; Asian Indian, 3%; and Asian, 8%. The distribution for men was non-Hispanic white, 37%; Hispanic, 26%; AA, 22%; Asian Indian, 5%; and Asian, 10%. Abdominal fat (L1-L5) was estimated from whole-body scanning using dual-energy x-ray absorptiometry (DXA Abd-Fat).
Results: DXA Abd-Fat varied by race/ethnicity after accounting for WC and height in both women and men. The increase in DXA Abd-Fat per increase in WC was lower in the Asian and Asian-Indian women than that in the other women. The increase in DXA Abd-Fat per increase in WC was higher in the AA men and lower in the Asian-Indian men than that in the other men. These differential race/ethnicity effects were most notable when WC exceeded ≍90 cm in the women and ≍100 cm in the men, values which are consistent with current definitions of abdominal obesity in the United States.
Conclusions: Prediction equations for abdominal fat using WC that do not account for race/ethnicity group provide biased estimates. These results may affect assessment of disease risk from abdominal obesity among racial/ethnic groups.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179798 | PMC |
| http://dx.doi.org/10.1249/MSS.0b013e318216d90f | DOI Listing |
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