Indices of adiposity as predictors of cardiometabolic risk and XXXX in young adults.

@entity32 @entity650 @entity28 @entity39 @entity5 @entity6120 @entity1254 @entity688 @entity1386
BACKGROUND: Studies investigating @entity28 and cardiometabolic risk have focused on 'at-risk' populations and methodological inconsistencies have produced equivocal findings. The present cross-sectional study investigated indices of body composition as predictors of cardiometabolic risk and their relationship with @entity32 in apparently healthy young adults. METHODS: A fasting blood sample was taken from consenting adults (160 males, 32 females, aged 18-40  years) for assessment of cardiometabolic risk markers (blood pressure, lipid profiles and insulin resistance) and inflammatory markers (C-reactive protein, @entity5 @entity39 factor-a, @entity650 , @entity688 and @entity1254 ). Together with anthropometry, fat mass (FM) and @entity1386 ( @entity6120 ) were determined by dual-energy X-ray absorptiometry. FM was expressed in absolute terms (kg), as well as relative to total body weight (%), height [FM index (FMI, kg  m(-2) )] and @entity6120 (FM  :  @entity6120 ,%). RESULTS: Although anthropometric indices were associated with most cardiometabolic risk markers, the strongest relationship was observed with FMI. Relative to having a low cardiometabolic risk ( <=2 markers above clinically relevant cut-offs), each kg  m(-2) increase in FMI, increased the likelihood of having an increased cardiometabolic risk by 29% (odds ratio  =  1.29; 95% confidence interval  =  1.12-1.49). Inflammatory markers were not associated with body composition or cardiometabolic risk. CONCLUSIONS: FMI was the strongest predictor of overall cardiometabolic risk but not @entity32 per se. However, anthropometric indices, such as body mass index and waist-to-height ratio, remain valuable surrogate measures of adiposity in this group, particularly when risk markers are considered independently.
