Cluster analysis and validation of 12 anthropometric indicators for civil aviation pilots
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.
Anthropometric indicatorsPrincipal component analysisFasting insulinCivil pilots
NETL
NSTL
万方数据
