Objective To investigate the relationship between body mass index (BMI), waist circumference (WC), body roundness index (BRI), weight-adjusted waist index (WWI) and dyslipidemia in high-risk populations for atherosclerotic cardiovascular disease (ASCVD), providing guidance for lipid health management programs conducted in community hospitals. Methods A total of 389 subjects from a certain community in Changsha City who met the high-risk criteria for atherosclerotic cardiovascular disease (ASCVD) were included. Baseline data and lipid levels were collected. BMI, BRI, and WWI were calculated. Pearson or Spearman partial correlation analysis was used to examine the correlation between each index and lipid component levels. Logistic regression analysis was employed to explore the association between each index and dyslipidemia. The predictive ability of each index and combined indices for dyslipidemia was analyzed using receiver operating characteristic (ROC) curves. Results In high-risk populations for atherosclerotic cardiovascular disease (ASCVD), BMI, WC, BRI, and WWI were all positively correlated with total cholesterol, triglycerides, and low-density lipoprotein cholesterol (P<0.05), and negatively correlated with high-density lipoprotein cholesterol (P<0.05). Multivariate logistic regression analysis showed that each morphological index was associated with the risk of dyslipidemia (P<0.05). ROC curve analysis indicated that each morphological index could predict the risk of dyslipidemia (P<0.05). From the perspective of individual morphological indices, the AUC of BMI and BRI was slightly higher than that of WC, but there was no significant statistical difference (P>0.05); compared with BMI and BRI, WWI did not show a better predictive ability (P<0.05). Compared with WC and WWI as independent predictors, BMI+BRI and BMI+WWI both exhibited better predictive power (P<0.05). Conclusions BMI, WC, BRI, and WWI are all associated with the prevalence of dyslipidemia. Compared with WC and WWI as independent predictors, combined indicators (BMI+BRI, BMI+WWI) have a better predictive effect on dyslipidemia.
Key words
morphological indicators /
dyslipidemia /
atherosclerotic cardiovascular disease /
predictive ability
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