Body adiposity measured by bioelectrical impedance is an alternative to dual-energy x-ray absorptiometry in black Africans: The Africans in America Study

The association of ideal cardiovascular health with self-reported health, diabetes, and adiposity in African American males

African American (AA) men have the highest age-adjusted all-cause mortality rate in the United States of America (US) and a high burden of cardiovascular risk factors. The African American Male Wellness Walk (AAMWW) seeks to reduce such health disparities among AA males. The association of a combination of ideal cardiovascular health (ICH) metrics (blood pressure, glucose, cholesterol, body mass index (BMI), physical activity, and smoking) with self-reported health, diabetes, and body fat percentage was examined among 729 AA male participants from the 2017 and 2018 AAMWWs. Six metrics of ICH were categorized into a three-tiered ICH score 0-2, 3-4, 5-6. Linear and logistic regression modeling was performed with adjustment for age and insurance. Seven percent of men attained 5-6 ICH metrics at baseline. Participants with 5-6 ICH metrics versus 0-2 had 256% higher odds of excellent self-reported health compared to good, fair or poor (p < 0.0001). After exclusion of glucose from the ideal cardiovascular health score, participants with 3-4 versus 0-2 ICH metrics had a 48% lower odds of diabetes (p < 0.0031). After exclusion of BMI from the ICH score, participants with 5 ICH metrics had a 14.1% lower body fat percentage versus participants with 0-2 ICH metrics (p = 0.0057). Attainment of higher ideal cardiovascular health scores is associated with higher odds of self-reported health, lower odds of diabetes and lower body fat percentage among AA men. Future strategies leading to greater attainment of cardiovascular health in AA males will be important to advance health equity.

Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study

BACKGROUND

Reliable obesity assessment is essential in evaluating the risk of cardiovascular risk factors (CRFs). Non-availability of clearly defined cut-offs for body fat percentage (BF%), as well as a widespread application of surrogate measures for obesity assessment, may result in incorrect prediction of cardio-metabolic risk.

PURPOSE

The study aimed to determine optimal cut-off points for BF%, with a view of predicting the CRFs related to obesity.

PATIENTS AND METHODS

The study involved 4735 (33.6% of men) individuals, the Polish-Norwegian Study (PONS) participants, aged 45-64. BF% was measured with the aid of bioelectrical impedance analysis (BIA) method. The gender-specific cut-offs of BF% were found with respect to at least one CRF. A P-value approach, and receiver operating characteristic curve analyses were pursued for BF% cut-offs, which optimally differentiated normal from the risk groups. The associations between BF% and CRFs were determined by logistic regression models.

RESULTS

The cut-offs for BF% were established as 25.8% for men and 37.1% for women. With the exception of dyslipidemia, in men and women whose BF% was above the cut-offs, the odds for developing CRFs ranged 2-4 times higher than those whose BF% was below the cut-offs.

CONCLUSION

Controlling BF% below the thresholds indicating an increased health hazard may be instrumental in appreciably reducing overall exposure to developing cardio-metabolic risk.