陈岩, 杨金凤, 涂秋霞, 程文奕, 孙艺璇, 戴俊明, 傅力, 王芳. 民航飞行员血脂异常现状及相关因素分析J. 职业卫生与应急救援, 2025, 43(6): 765-770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250102
引用本文: 陈岩, 杨金凤, 涂秋霞, 程文奕, 孙艺璇, 戴俊明, 傅力, 王芳. 民航飞行员血脂异常现状及相关因素分析J. 职业卫生与应急救援, 2025, 43(6): 765-770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250102
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CHEN Yan, YANG Jinfeng, TU Qiuxia, CHENG Wenyi, SUN Yixuan, DAI Junming, FU Li, WANG Fang. Analysis of prevalence of dyslipidemia and its relevant factors among civil aviation pilotsJ. Occupational Health and Emergency Rescue, 2025, 43(6): 765-770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250102
Citation: CHEN Yan, YANG Jinfeng, TU Qiuxia, CHENG Wenyi, SUN Yixuan, DAI Junming, FU Li, WANG Fang. Analysis of prevalence of dyslipidemia and its relevant factors among civil aviation pilotsJ. Occupational Health and Emergency Rescue, 2025, 43(6): 765-770. DOI: 10.16369/j.oher.issn.1007-1326.2025.250102
shu

民航飞行员血脂异常现状及相关因素分析

Analysis of prevalence of dyslipidemia and its relevant factors among civil aviation pilots

    摘要
  • 摘要:
    目的 了解在职民航飞行员的血脂现状，探究血脂异常的相关因素，为预防和减少民航飞行员血脂异常提供实证依据。
    方法 2021年8—12月，选择在民航上海医院参加年度体检的某航司在职男性飞行员为研究对象，收集其血脂水平和年龄、月平均飞行时间、尿酸水平、体质量指数（BMI）、吸烟情况、饮食搭配情况及坚持锻炼情况。根据血脂水平分层标准将飞行员分为血脂正常组和血脂异常组，采用二元logistic回归模型分析血脂异常的影响因素。
    结果 本研究共纳入飞行员1 179名，检出血脂异常201人，检出率为17.0%。多因素logistic回归模型分析结果显示，年龄、尿酸、BMI、吸烟和锻炼等因素均与飞行员血脂异常发生风险存在关联（P < 0.05），具体表现为：31~40岁和41~50岁年龄段飞行员血脂异常的风险分别是≤ 30岁以下飞行员的1.879倍（95%CI：1.220~2.896）和1.856倍（95%CI：1.063~3.241）；尿酸异常飞行员血脂异常的风险是尿酸正常飞行员的1.716倍（95%CI：1.236~2.382）；BMI异常的飞行员血脂异常的风险是BMI正常飞行员的1.565倍（95%CI：1.138~2.152）；坚持锻炼时长达3年以上的飞行员血脂异常的风险仅为坚持锻炼时长 < 1年飞行员的0.635倍（95%CI：0.439~0.888）。
    结论 该航空公司飞行员的血脂异常率低于我国一般人群。宜重点关注年龄31~50岁、尿酸与BMI异常、吸烟及不坚持锻炼者，以保障其健康。

     

    Abstract:
    Objective To assess the current status of blood lipid levels among active civil aviation pilots and to explore factors associated with dyslipidemia, providing empirical evidence for its prevention and control.
    Methods From August to December 2021, male pilots from an airline who underwent their annual physical examinations at Shanghai Civil Aviation Hospital were enrolled. Data on blood lipid levels, age, average monthly flight hours, uric acid levels, body mass index (BMI), smoking status, dietary patterns, and exercise adherence were collected. Pilots were categorized into normal and abnormal blood lipid groups based on stratified criteria for lipid levels. A binary logistic regression model was used to analyze factors influencing dyslipidemia.
    Results A total of 1 179 pilots were included, among whom 201 cases of dyslipidemia were identified, with a detection rate of 17.0%. Multivariate logistic regression analysis showed that age, uric acid, BMI, smoking, and exercise were all associated with the risk of dyslipidemia (P < 0.05). Specifically, compared with pilots aged ≤ 30 years, pilots aged 31 to 40 and 41 to 50 had 1.879 times (95%CI: 1.220 to 2.896) and 1.856 times (95%CI: 1.063 to 3.241) the risk of dyslipidemia, respectively. Pilots with abnormal uric acid levels had 1.716 times the risk of dyslipidemia (95%CI: 1.236 to 2.382) compared with those with normal uric acid. Pilots with abnormal BMI had 1.565 times the risk of dyslipidemia (95%CI: 1.138 to 2.152) compared with those with normal BMI. The risk of dyslipidemia among pilots who kept regular exercise for ≥ 3 years was only 0.635 times that of those who exercised regularly for < 1 year (95%CI: 0.439 to 0.888).
    Conclusions The prevalence of dyslipidemia among pilots in this airline was lower than that of the general population reported in China. However, greater attention should be still given to pilots aged 31 to 50 years, those with abnormal uric acid or BMI, smokers, and those who do not maintain regular exercise, in order to safeguard their health.

     

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