IEEE J Biomed Health Inform - Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

Tópicos

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Resumo

Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associated with risk factors for various diseases and are related to anthropometric measures. However, controversy remains regarding the best anthropometric indicators of the HDL and LDL cholesterol levels. The objectives of this study were to identify the best predictors of HDL and LDL cholesterol using statistical analyses and two machine learning algorithms and to compare the predictive power of combined anthropometric measures in Korean adults. A total of 13?014 subjects participated in this study. The anthropometric measures were assessed with binary logistic regression (LR) to evaluate statistically significant differences between the subjects with normal and high LDL cholesterol levels and between the subjects with normal and low HDL cholesterol levels. LR and the naive Bayes algorithm (NB), which provides more reasonable and reliable results, were used in the analyses of the predictive power of individual and combined measures. The best predictor of HDL was the rib to hip ratio ( ; odds ratio (OR) = 1.895 ; area under curve (AUC) = 0.681) in women and the waist to hip ratio (WHR) ( ; OR = 1.624; AUC = 0.633) in men. In women, the strongest indicator of LDL was age ( ; OR = 1.662; AUC by NB = 0.653 ; AUC by LR = 0.636). Among the anthropometric measures, the body mass index (BMI), WHR, forehead to waist ratio, forehead to rib ratio, and forehead to chest ratio were the strongest predictors of LDL; these measures had similar predictive powers. The strongest predictor in men was BMI ( ; OR = 1.369; AUC by NB = 0.594; AUC by LR = 0.595 ). The predictive power of almost all individual anthropometric measures was higher for HDL than for LDL, and the predictive power for both HDL and LDL in women was higher than for men. A combination of anthropometric measures slightly improved the predictive power for both HDL and LDL cholesterol. The best indicator for HDL and LDL might differ according to the type of cholesterol and the gender. In women, but not men, age was the variable that strongly predicted HDL and LDL cholesterol levels. Our findings provide new information for the development of better initial screening tools for HDL and LDL cholesterol.

Resumo Limpo

serum highdens lipoprotein hdl lowdens lipoprotein ldl cholesterol level associ risk factor various diseas relat anthropometr measur howev controversi remain regard best anthropometr indic hdl ldl cholesterol level object studi identifi best predictor hdl ldl cholesterol use statist analys two machin learn algorithm compar predict power combin anthropometr measur korean adult total subject particip studi anthropometr measur assess binari logist regress lr evalu statist signific differ subject normal high ldl cholesterol level subject normal low hdl cholesterol level lr naiv bay algorithm nb provid reason reliabl result use analys predict power individu combin measur best predictor hdl rib hip ratio odd ratio area curv auc women waist hip ratio whr auc men women strongest indic ldl age auc nb auc lr among anthropometr measur bodi mass index bmi whr forehead waist ratio forehead rib ratio forehead chest ratio strongest predictor ldl measur similar predict power strongest predictor men bmi auc nb auc lr predict power almost individu anthropometr measur higher hdl ldl predict power hdl ldl women higher men combin anthropometr measur slight improv predict power hdl ldl cholesterol best indic hdl ldl might differ accord type cholesterol gender women men age variabl strong predict hdl ldl cholesterol level find provid new inform develop better initi screen tool hdl ldl cholesterol

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