Comput. Biol. Med. - Indicators of hypertriglyceridemia from anthropometric measures based on data mining.

Tópicos

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Resumo

CKGROUND: The best indicator for the prediction of hypertriglyceridemia derived from anthropometric measures of body shape remains a matter of debate. The objectives are to determine the strongest predictor of hypertriglyceridemia from anthropometric measures and to investigate whether a combination of measures can improve the prediction accuracy compared with individual measures.METHODS: A total of 5517 subjects aged 20-90 years participated in this study. The numbers of normal and hypertriglyceridemia subjects were 3022 and 653 females, respectively, and 1306 and 536 males, respectively. We evaluated 33 anthropometric measures for the prediction of hypertriglyceridemia using statistical analysis and data mining.RESULTS: In the 20-90-year-old groups, age in women was the variable that exhibited the highest predictive power; however, this was not the case in men in all age groups. Of the anthropometric measures, the waist-to-height ratio (WHtR) was the best predictor of hypertriglyceridemia in women. In men, the rib-to-forehead circumference ratio (RFcR) was the strongest indicator. The use of a combination of measures provides better predictive power compared with individual measures in both women and men. However, in the subgroups of ages 20-50 and 51-90 years, the strongest indicators for hypertriglyceridemia were rib circumference in the 20-50-year-old group and WHtR in the 51-90-year-old group in women and RFcR in the 20-50-year-old group and BMI in the 51-90-year-old group in men.CONCLUSIONS: Our results demonstrated that the best predictor of hypertriglyceridemia may differ according to gender and age.

Resumo Limpo

ckground best indic predict hypertriglyceridemia deriv anthropometr measur bodi shape remain matter debat object determin strongest predictor hypertriglyceridemia anthropometr measur investig whether combin measur can improv predict accuraci compar individu measuresmethod total subject age year particip studi number normal hypertriglyceridemia subject femal respect male respect evalu anthropometr measur predict hypertriglyceridemia use statist analysi data miningresult yearold group age women variabl exhibit highest predict power howev case men age group anthropometr measur waisttoheight ratio whtr best predictor hypertriglyceridemia women men ribtoforehead circumfer ratio rfcr strongest indic use combin measur provid better predict power compar individu measur women men howev subgroup age year strongest indic hypertriglyceridemia rib circumfer yearold group whtr yearold group women rfcr yearold group bmi yearold group menconclus result demonstr best predictor hypertriglyceridemia may differ accord gender age

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