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基于体检数据的飞行员高脂血症危险因素分析:一项使用多层次倾向得分模型的研究

Analysis of hyperlipidemia risk factors among pilots based on physical examination data: A study using a multilevel propensity score models.

作者信息

Yu Feifei, Xie Yi, Yang Jishun

机构信息

Naval Medical Center, Naval Medical University (Second Military Medical University), Shanghai 200433, P.R. China.

出版信息

Exp Ther Med. 2024 Jun 28;28(3):341. doi: 10.3892/etm.2024.12630. eCollection 2024 Sep.

Abstract

Pilot tends to have a high prevalence of dyslipidemia. The present study aimed to identify key factors of pilot hyperlipidemia through thorough analysis of physical examination data, and to provide pilot-targeted health guidance to manage hyperlipidemia risks. The physical examination data of 1,253 pilot inpatients from January 2019 to June 2022, were evaluated and divided into two groups based on whether or not the pilot had hyperlipidemia. A total of three multivariate analysis models including logistic model, multilevel model and boosting propensity score were applied to find the risk factors of pilot hyperlipidemia. In the group of pilots with hyperlipidemia, four risk factors, including thrombin time, carbohydrate antigen 199, lymphocyte count and rheumatoid factor, were significantly different from pilots without hyperlipidemia, which might be positively associated with the incidence of hyperlipidemia. In future studies regarding pilots, whether hyperlipidemia is connected to abnormalities in thrombin time, carbohydrate antigen 199 and rheumatoid factor should be further explored. Based on the findings of the present study, pilot health management should be more refined and personalized, and attention should be paid to the risk factors of hyperlipidemia including diet and lifestyle.

摘要

飞行员往往有较高的血脂异常患病率。本研究旨在通过对体检数据的深入分析,确定飞行员高脂血症的关键因素,并提供针对飞行员的健康指导,以管理高脂血症风险。对2019年1月至2022年6月期间1253名飞行员住院患者的体检数据进行评估,并根据飞行员是否患有高脂血症分为两组。共应用了包括逻辑模型、多水平模型和增强倾向得分在内的三种多变量分析模型,以找出飞行员高脂血症的危险因素。在患有高脂血症的飞行员组中,凝血酶时间、糖类抗原199、淋巴细胞计数和类风湿因子这四个危险因素与未患高脂血症的飞行员有显著差异,这可能与高脂血症的发病率呈正相关。在未来关于飞行员的研究中,应进一步探讨高脂血症是否与凝血酶时间、糖类抗原199和类风湿因子异常有关。基于本研究的结果,飞行员健康管理应更加精细化和个性化,并且应关注包括饮食和生活方式在内的高脂血症危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddbd/11240281/2e613c95ac92/etm-28-03-12630-g00.jpg

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