Incidence of carotid atherosclerosis in railway workers and risk factors
Objective To investigate the occurrence of carotid atherosclerosis in railway workers and to analyze its influencing factors,thus providing evidence for primordial prevention and primary prevention of atherosclerosis.Methods A total of 2,689 railway workers were enrolled from June 2022 to March 2023.Based on the results of carotid ultrasound,they were divided into two groups:the normal carotid group(control group)and the carotid atherosclerosis group(including carotid intima-media thickening and carotid plaque groups).Gender,age,body mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),total cholesterol(TC),triglycerides(TG),homocysteine(Hcy),and the presence of fatty liver were compared between the two groups.Logistic regression analysis was used to assess the influencing factors for carotid atherosclerosis.Results Among the 2,689 participants,783(29.1%)cases were detected with carotid atherosclerosis.The incidence of carotid atherosclerosis was significantly higher in males than that of females(P<0.05),which increased with aging(P<0.05).Significant differences were found between the control group and the carotid atherosclerosis group in BMI,SBP,DBP,LDL-C,TC,TG,Hcy,and the presence of fatty liver among different carotid ultrasound results(P<0.05).Multivariate logistic regression analysis revealed that gender,age,SBP,and LDL-C were risk factors for carotid atherosclerosis(P<0.05).Conclusion Due to the specific nature of their job responsibilities,the detection rate of carotid atherosclerosis in workers from this railway company is higher than that reported in domestic literatures.Gender,age,SBP,and LDL-C are influencing factors for carotid atherosclerosis.Health education and intervention should be provided to railway workers,and regular medical examinations should be conducted to reduce the occurrence of cardiovascular and cerebrovascular events.
万方数据
维普
