目的 探讨民航飞行学员中胆囊息肉样病变(polypoid lesion of gallbladder,PLG)的相关危险因素以及针对风险因子的健康管理措施.方法 回顾性分析中国民用航空飞行学院参与2022年度飞行年度体检的学员,按照B超检查结果提示是否患有PLG进行分组,分为PLG组(n=128)和非PLG组(n=150),利用民用航空人员体检系统收集2组学员各项基本资料,并建立多因素logistic回归方程模型分析胆囊息肉样病变的相关危险因素.结果 单因素分析结果显示:在是否伴有高血压、高脂血症和高血糖方面2组间的差异无统计学意义(P＞0.05),而在年龄、体质量指数、是否伴血清总胆红素偏高和高尿酸血症、作息和饮食是否规律以及运动量是否充足方面2组间的差异有统计学意义(P＜0.05).多因素logistic回归方程模型分析结果显示:年龄、血清总胆红素偏高、高尿酸血症、作息不规律、饮食不规律和运动缺乏为PLG的独立危险因素.结论 年龄、血清总胆红素偏高、高尿酸血症、作息不规律、饮食不规律和运动缺乏是导致民航飞行学员出现PLG的主要原因,针对危险因子加以干预、预防,可有效保证其身体健康,保障飞行安全.
Analysis of risk factors and health management of polypoid lesions of gallbladder in civil aviation flight cadets
Objective To explore the related risk factors of polypoid lesions of gallbladder(PLG)in civil aviation flight cadets and the health management measures for the risk factors.Methods Retrospective analysis of the 2022 flight annual medical students,according to the B ultrasound examination results have PLG,divided into PLG group(n=128)and non-PLG group(n=150),collect the basic data of the students,and establish a multivariate logistic regression equation model to analyze the related risk factors of gallbladder polypoid lesions.Results The results of univariate analysis showed that there was no significant difference between groups with hypertension,hyperlipidemia and hyperglycemia(P＞0.05),but with age and body mass index,high total bilirubin in serum and hyperuricemia,regular schedule and diet,and sufficient exercise(P＜0.05).The results of multivariate logistic regression equation model analysis showed that age,high serum total bilirubin,hyperuricemia,irregular sleep and rest,irregular diet and lack of exercise were independent risk factors for PLG.Conclusions Age,high serum total bilirubin,hyperuricemia,irregular work and rest,irregular diet and lack of exercise are the main reasons for PLG in civil aviation flight cadets.Intervention and prevention of risk factors can effectively ensure their health and flight safety.
civil aviation flight cadetspolypoid lesions of gallbladderrisk factorhealth management
万方数据
维普
