陇南段铁路职工超重肥胖与血脂异常的动态队列研究OA

Objective To understand the prevalence of dyslipidemia in railway workers in Longnan section of Lanzhou-Chongqing Railway,and to explore the correlation between the risk of dyslipidemia and overweight and obesity,so as to provide scientific basis for the prevention and treatment of dyslipidemia in railway workers.Methods From January 2016 to December 2021,596 railway workers in Longnan section of Lanzhou-Chongqing Railway with at least one follow-up in the same medical institution and no dyslipidemia at baseline were selected as the research objects.According to the"Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults(2016 Revision)"and the last detection of TG,TC,LDL-C and HDL-C,the subjects were divided into dyslipidemia group and normal blood lipid group,with 190 workers(31.88％)and 406 workers(68.12％),respectively.Cox proportional hazard model was used to analyze the correlation between overweight,obesity and dyslipidemia.Kaplan-Meier method was used to draw the cumulative probability curve of dyslipidemia in railway workers,and Log-rank method was used to compare between groups.Results A total of 596 railway workers were included in the study,including 531 males(89.09％)and 65 females(10.91％).The median age at baseline was 24 years old(IQR=3).During the 5-year follow-up period,a total of 190 workers(31.88％)had abnormal blood lipids,and the proportion of dyslipidemia in the obese group was higher than that in the overweight and normal groups,and the proportion of dyslipidemia in the overweight group was higher than that in the normal group(P＜0.001).During the baseline and follow-up period,the levels of BMI,TG,TC,LDL-C,HDL-C and blood glucose in the dyslipidemia group were higher than those in the normal lipid group(Pbaseline＜0.01,Pfollow-up＜0.001).After adjusting for gender,age,diastolic blood pressure,systolic blood pressure and blood glucose in the Cox proportional hazard model,the risk of dyslipidemia in the overweight and obese groups was 1.57(1.12-2.21)and 2.10(1.09-4.05),respectively.The cumulative probability curve showed that the cumulative probability of dyslipidemia in the normal group was lower than that in the overweight group(P＜0.001)and the obese group(P＜0.01).Conclusion Overweight and obesity increase the risk of dyslipidemia.Monitoring the BMI level of railway workers is of great significance for the prevention of dyslipidemia.