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FRIDAY, March 16, 2018 (HealthDay News) — The J-shaped correlation seen for body mass index (BMI) with cardiovascular disease (CVD) risk is susceptible to confounding due to pre-existing comorbidities, according to a study published online March 15 in the European Heart Journal<\/i>.<\/p>\n
Stamatina Iliodromiti, M.D., from the University of Glasgow in the United Kingdom, and colleagues examined the correlations between body composition with incident CVD outcomes in a cohort of 296,535 healthy individuals of white European descent without CVD at baseline. Five different measures of adiposity were included as exposures.<\/p>\n
The researchers found that low BMI correlated with higher incidence of CVD; the lowest CVD risk was seen at BMI of 22 to 23 kg\/m\u00b2, with an increase in CVD risk with higher BMI. In subgroup analyses excluding participants with comorbidities, the J-shaped correlation was attenuated substantially. More linear correlations were seen for the other adiposity measures: a one standard deviation increase in waist circumference correlated with a hazard ratio of 1.16 and 1.10 for women and men, respectively, with associations of similar magnitude for waist-to-hip ratio, waist-to-height ratio, and percentage body fat mass.<\/p>\n
“Increasing adiposity has a detrimental association with CVD health in middle-aged men and women. The association of BMI with CVD appears more susceptible to confounding due to pre-existing comorbidities when compared with other adiposity measures,” the authors write. “Any public misconception of a potential ‘protective’ effect of fat on CVD risk should be challenged.”<\/p>\n
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