Methods: A cross-sectional design was used to compare CMR variables in 50 women (25 African-American and 25 Caucasian) participants in a worksite wellness program. CMR profile data was obtained that included: 1) blood levels of fasting insulin and glucose (blood sugar), hemoglobin A1c (risk for diabetes), C-reactive protein (inflammation), 2) acanthosis nigricans scoring (darkened skin on the neck as risk for diabetes) and 3) Measures of body habitus (weight, height and waist circumference). A multivariate analysis of covariance (MANCOVA) was used to compare African American and Caucasian participants on the CMR variables while controlling for age and BMI. A regression analysis using a stepwise procedure was also used to determine which CMR measures were the best predictors of insulin resistance.
Results: There was a significant multivariate main effect of race, Wilks’ Λ = .58, F (10, 32) = 2.28, p = .04, suggesting that there were significant differences between African American and Caucasian participants on measures of CMR. Stepwise regression analysis further revealed that the overall model was significant, R2 = .57, F (6, 38) = 8.36, p < .001 for predicting insulin resistance. The analysis further indicating that BMI, fasting triglycerides, fasting HDL, and fasting hemoglobin A1c were significant predictors of insulin resistance.
Conclusion: Findings from this study provide valuable insights to guide the development of specific interventions to reduce CMR among understudied women in general. More specifically, findings inform how to tailor interventions among African-American women, as risks for heart disease and stroke have been found to differ by both gender and race.
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