Objective To establish a nomograph model for predicting the risk of dyslipidemia in obese adolescents by using existing anthropometric indicators, so as to provide methodological reference for early screening of dyslipidemia in obese adolescents. Methods A total of 421 obese adolescents aged 13 to 16 were recruited from 2020 to 2021 to measure anthropometric indices (height, weight, chest, waist, hip, thigh and calf circumference) and 13 anthropometric indices were calculated, including body mass index(BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), conicity index(CI), abdominal volume index (AVI), body adiposity index (BAI), cl-nica universidad de Navarra-body adiposity estimator (CUN-BAE), a body shape index (ABSI), body roundness index (BRI), triponderal mass index(TMI), waist divided by height 0.5(WHT.5R), relative fat mass (RFM) and BMI multiply by the square root of WC(BMIWC).Blood lipids of children were tested, using the "Reference Standards for Dyslipidemia in Children and Adolescents Aged 6 to 18 in China" to diagnose dyslipidemia.LASSO regression was used to screen the characteristic variables of dyslipidemia in obese adolescents, and a nomograph model with multi-indices was established.Hosmer-lemeshow goodness of fit test and bootstrap method (1 000 times) were used for model verification.The prediction ability of nomograph model was evaluated by the receiver operating characteristic(ROC) curve. Results The chest circumference, thigh circumference and ABSI were screened by LASSO regression to establish the nomograph model of obese boys.The Hosmer-lemeshow goodness of fit P value was 0.575, the mean absolute error of the calibration curve was 0.023, and the ROC-AUC was 0.62.BMI, TMI and ABSI were selected to establish the nomogram model of obese girls.The corresponding Hosmer-lemeshow goodness of fit P value was 0.422, the mean absolute error of the calibration curve was 0.023, and the ROC-AUC was 0.70. Conclusion The nomogram model of multi-indices combination established by LASSO regression can be used to predict dyslipidemia in obese adolescents.
Key words
obese /
adolescent /
dyslipidemia /
anthropometric indices /
nomogram
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