Search

Correlates of BMD were examined in a cross-sectional analysis of men of West African ancestry. BMD, measured at the total hip and the femoral neck subregion, was associated with age, anthropometric, lifestyle, and medical factors in multiple linear regression models. These models explained 25–27% of the variability in total hip and femoral neck BMD, respectively, and 13% of the variability in estimated volumetric BMD. To examine the correlates of bone mineral density (BMD) in men of West African ancestry. Two thousand five hundred and one men aged 40 to 93 years were recruited from the Caribbean Island of Tobago. Participants completed a questionnaire and physical examination. We measured hip BMD and body composition, using DXA. Volumetric BMD was estimated as bone mineral apparent density (BMAD). BMD was 10% and 20% higher in African Caribbean males compared to U.S. non-Hispanic black and white males, respectively. In multiple linear regression models, greater lean mass, history of working on a fishing boat or on a farm, frequent walking, and self-reported diabetes were significantly associated with higher BMD. Fat mass, history of farming, and self-reported hypertension were also associated with higher BMAD. Older age, mixed African ancestry, and history of a fracture were associated with lower BMD and BMAD. Lean body mass explained 20%, 18% and 6% of the variance in BMD at the total hip, femoral neck and BMAD, respectively. African Caribbean males have the highest BMD on a population level ever reported. Lean mass was the single most important correlate. Variability in BMD/BMAD was also explained by age, mixed African ancestry, anthropometric, lifestyle, and medical factors.

The Population Attributable Risk (PAR) represents the proportion of the deaths (in a specified time) in the whole population that may be preventable if a cause of mortality were totally eliminated. This population-based measure was used to assess the potential impact of three public health interventions for type 2 diabetes (early detection + standard therapy; early detection + intensive therapy; and primary prevention) on the mortality risk from all causes and from cardiovascular (CVD) diseases. Potential reduction in mortality risks for several levels of compliance or implementation (25%, 50%, 75%, 100%) for each intervention were also estimated. Results suggest that among males aged 45-74 years, the interventions may have greater population-wide impact on total deaths among black males, and greater impact on the CVD deaths among white males. Overall, primary prevention (reduction in all-cause mortality 6.2-10.0%, and CVD mortality 7.9-9.0%) may offer greater marginal benefit than screening and early treatment (reduction in all-cause mortality 3.5-8.3%, and CVD mortality 2.8-8.6%). Often the question facing policy makers is not simply whether to but how much of an intervention is worth implementing? Estimated benefits for various intensities of intervention (as provided) may be useful to assess the likely marginal benefits of each intervention, and can be especially useful if combined with estimated marginal costs.