Influencing factors of non-alcoholic fatty liver disease in aircrews based on classification tree model
10.3969/j.issn.1009-0754.2025.09.002
- VernacularTitle:基于分类树模型的飞行人员非酒精性脂肪性肝病的影响因素分析
- Author:
Lei ZHOU
1
;
Ping SONG
;
Maodan FAN
;
Yinping SI
;
Xiaoxia JIANG
;
Junyong HUANG
;
Xinyu LIU
;
Xiaoya GAO
;
Guodong SUN
Author Information
1. 310002 浙江杭州,空军杭州特勤疗养中心
- Keywords:
Non-alcoholic fatty liver disease;
Classification tree;
Body mass index;
Risk factors;
Prediction model
- From:
Journal of Navy Medicine
2025;46(9):874-879
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a classification tree model for non-alcoholic fatty liver disease(NAFLD)among aircrews,screen for influencing factors of NAFLD,so as to provide scientific basis for prevention and intervention decisions for NAFLD.Methods Aircrews who underwent recuperation at a sanatorium from January 2019 to December 2023 were selected as the research objects.Their annual physical examination data were collected and the NAFLD detection rate was calculated.Age,body mass index(BMI),blood pressure,waist circumference,blood routine,biochemistry indexes,and thyroid function were incorporated,and a NAFLD risk model was constructed using classification regression tree method.The predictive performance of the NAFLD classification tree model was evaluated through model misclassification matrix,risk statistics,and receiver operating characteristic curve.Results A total of 4088 aircrews were included in the study,and NAFLD was detected in 380 persons(380/4088,9.30%).The NAFLD model consisted of three layers,and five explanatory variables affecting the onset of NAFLD were extracted,including BMI,triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),and total bilirubin(TBIL).BMI was located at the top of the classification tree and was the most important risk factor for NAFLD in aircrews.The area under the curve(AUC)of the model was 0.853.The predictive accuracy of NAFLD was 90.9%,indicating that the model has good accuracy and fitting effect.Conclusion In this study,the detection rate of NAFLD in aircrews was 9.30%.BMI,TG,HDL-C,ALT,and TBIL are risk factors for the onset of NAFLD.NAFLD is mainly related to weight gain and lipid metabolism disorders caused by unhealthy lifestyles.
