A population perspective on XXXX prevention: whom should we target for preventing @entity1017 ?

@entity1 @entity2175 @entity6 @entity28 @entity1017 @entity164 @entity62
OBJECTIVE: To examine the influence of @entity28 and prevention of @entity1017 on the incidence of @entity164 2 @entity6 . RESEARCH DESIGN AND METHODS: We examined @entity1 in the San Antonio Heart Study, a prospective population-based study of Mexican Americans and @entity62 residing in San Antonio, Texas. BMI was stratified into four categories: normal (<25 kg/m(2)), overweight (> or =25 kg/m(2) and <30 kg/m(2)), @entity28 (> or =30 kg/m(2) and <35 kg/m(2)), and @entity28 (> or =35 kg/m(2)). The number and proportion of incident cases prevented by targeting each BMI category were estimated. In addition, we calculated the decrease in risk of developing @entity164 2 @entity6 associated with @entity1017 prevention across both the BMI and age spectra. RESULTS: Preventing normal individuals from becoming overweight would result in the greatest reduction in incidence of @entity164 2 @entity6 . This would result in a 62 and 74% reduction in the incidence of @entity164 2 @entity6 in Mexican Americans and @entity62 , respectively. Preventing the entire population from gaining, on average, 1 BMI unit would result in a reduction in incidence of @entity2175 .4 and 13.0% in Mexican Americans and @entity62 , respectively. CONCLUSIONS: The majority of cases of @entity164 2 @entity6 were in individuals who were overweight or mildly @entity28 with a family history of @entity164 2 @entity6 . Public health resources should be directed toward the prevention of @entity1017 among normal and overweight individuals in order to prevent the maximum number of cases of @entity164 2 @entity6 .
