民航飞行员12项人体测量学指标的聚类分析及验证  

Cluster analysis and validation of 12 anthropometric indicators for civil aviation pilots

作　　者：王芳 王妍[2] 喻筱维 杨金凤 戴俊明[3] 傅力 WANG Fang;WANG Yan;YU Xiaowei;YANG Jinfeng;DAI Junming;FU Li(Civil Aviation Administration,Shanghai Hospital,Shanghai 200336;Civil Aviation Medicine Center of CAAC(Civil Aviation General Hospital),Beijing 100123;School of Public Health,Fudan University,Shanghai 200032,China)

机构地区：[1]民航上海医院空勤科,上海200336 [2]中国民用航空局民用航空医学中心,北京100123 [3]复旦大学公共卫生学院,上海200032

出　　处：《空军航空医学》2024年第2期102-107,共6页AVIATION MEDICINE OF AIR FORCE

基　　金：中国民航局安全能力建设项目(基于飞行员健康管理综合性航卫保障体系探索)。

摘　　要：目的聚类分析民航飞行员12项人体测量学指标,探索空腹胰岛素(fasting insulin,FINS)与民航飞行员飞行时间及肥胖程度的关系。方法选取2021年9月—2022年2月在民航上海医院进行体格检查和辅助检查的1250名在职男性飞行员,使用Inbody人体成分分析仪测定其身高、体质量、腰围、臀围及体脂率等指标,通过问卷调查了解其执飞机型及2021年飞行时间数据。使用12项人体测量学指标通过主成分分析法进行聚类分析,并进一步以多元线性回归法2种模型比较分析FINS与民航飞行员年飞行时间及人体测量学指标的关系,为本次人体测量学指标聚类分析进行验证。结果对12项人体测量学指标经适宜性检验后行因子分析,以主成分法提取3个公因子(脂质堆积指数、腰围甘油三酯指数和内脏脂肪指数),累计方差贡献率为95.29%,进一步采用线性回归法计算出标准化得分系数,最后采用多元线性回归法分析得出FINS与年飞行时间及3个公因子(中心型肥胖因子、全身型肥胖因子、内脏型肥胖因子)均有关(3个公因子的偏回归系数分别为12.37、8.90、6.78,P均<0.001),且中心型肥胖程度对空腹胰岛素的升高有最大的贡献作用。结论中心型肥胖因子、全身型肥胖因子及内脏型肥胖因子与空腹胰岛素升高均具有相关性,且中心型肥胖公因子贡献最大,提示人体测量学指标具有临床预测价值。Objective To conduct cluster analysis of 12 anthropometric indicators and to explore the relationships between fasting insulin(FINS),annual flight time and obesity among civil aviation pilots.Methods A total of 1,250 male pilots in East China who underwent physical examinations and auxiliary examinations in Shanghai Hospital between September 2021 and February 2022 were selected to have their height,weight,waist circumference,hip circumference and body fat percentage(PBF)determined using an Inbody body composition analyzer.The data on their aircraft types and duration of flight in 2021 was obtained via a questionnaire survey.Twelve anthropometric indicators were used for cluster analysis using principal component analysis,and the relationships between fasting insulin(FINS),annual flight time of civil aviation and anthropometric indicators were analyzed using multiple linear regression models to validate the cluster analysis of anthropometric indicators.Results After suitability testing of the 12 anthropometric variables,factor analysis was conducted,and three common factors were extracted using the principal component method,with a cumulative variance contribution rate of 95.29%.Linear regression was used to calculate standardized score coefficients.Multiple linear regression analysis revealed that fasting insulin was related to annual flight time and the three common factors(partial regression coefficients of three common factors were 12.37,8.90 and 6.78,all P<0.001),with central obesity making the greatest difference to elevated fasting insulin levels.Conclusion All the three common factors are found to be related to elevated fasting insulin levels,especially the central obesity factor,suggesting the clinical predictive value of anthropocentric indicators.

关 键 词：人体测量指标 主成分分析 空腹胰岛素 民航飞行员 

分 类 号：R851[医药卫生—航空、航天与航海医学]