[1]杨少华,王少华,徐国祥,等.陇南段铁路职工超重肥胖与血脂异常的动态队列研究[J].医学信息,2024,37(14):33-37.[doi:10.3969/j.issn.1006-1959.2024.14.006]
　YANG Shao-hua,WANG Shao-hua,XU Guo-xiang,et al.Dynamic Cohort Study on Overweight, Obesity and Dyslipidemia Among Railway Workers in Longnan Section[J].Journal of Medical Information,2024,37(14):33-37.[doi:10.3969/j.issn.1006-1959.2024.14.006]
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陇南段铁路职工超重肥胖与血脂异常的动态队列研究()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
37卷
期数:
2024年14期
页码:
33-37
栏目:
公众健康信息学
出版日期:
2024-07-15

文章信息/Info

Title:
Dynamic Cohort Study on Overweight, Obesity and Dyslipidemia Among Railway Workers in Longnan Section
文章编号:
1006-1959（2024）14-0033-05
作者:
杨少华; 王少华; 徐国祥; 等
（中国铁路兰州局集团有限公司劳卫部1，疾病预防控制所2，甘肃 兰州 730000）
Author(s):
YANG Shao-hua; WANG Shao-hua; XU Guo-xiang; et al.
(Institute of Occupational Health1,Institute for Disease Control and Prevention2,China Railway Lanzhou Group Co. LTD.,Lanzhou 730000,Gansu,China)
关键词:
铁路职工; 血脂异常; BMI; 队列研究
Keywords:
Railway workers; Dyslipidemia; BMI; Cohort study
分类号:
R195
DOI:
10.3969/j.issn.1006-1959.2024.14.006
文献标志码:
A
摘要:
目的 了解兰渝线陇南段铁路工人血脂异常的流行现状，并探讨其发生风险与超重肥胖的关联性，从而为铁路职工血脂异常的防治提供科学依据。方法 选取2016年1月-2021年12月在同一医疗机构至少有1次随访，且基线期无血脂异常的596名兰渝线陇南段铁路职工为研究对象。参考《中国成人血脂异常防治指南（2016年修订版）》并根据受试者最后一次的TG、TC、LDL-C和HDL-C检测含量将其分为血脂异常组和血脂正常组，分别为190人（31.88%）和406人（68.12%）。采用Cox比例风险模型分析超重、肥胖与血脂异常的相关性，Kaplan-Meier法绘制铁路职工发生血脂异常的累计事件发生概率曲线，并通过Log-rank法进行组间比较。结果 研究共纳入596名铁路职工，其中男性531人（89.09%），女性65人（10.91%），基线期年龄中位数为24岁（IQR=3）。5年随访期内共有190人（31.88%）血脂出现异常，且肥胖组发生血脂异常的比例高于超重组和正常组，超重组发生血脂异常的比例高于正常组（P＜0.001）；在基线和随访期间，血脂异常组的BMI、TG、TC、LDL-C、HDL-C和血糖水平均高于血脂正常组（P基线＜0.01，P随访＜0.001）。Cox比例风险模型中调整了性别、年龄、舒张压、收缩压和血糖后，超重组和肥胖组发生血脂异常的风险分别为1.57（1.12~2.21）、2.10（1.09~4.05）。累计事件发生概率曲线显示正常组血脂异常的累计发生概率低于超重组（P＜0.001）和肥胖组（P＜0.01）。结论 超重及肥胖增加了血脂异常的发病风险，监测铁路职工BMI水平对预防血脂异常很有意义。
Abstract:
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.

参考文献/References:

[1]Liu T,Zhao D,Qi Y.Global Trends in the Epidemiology and Management of Dyslipidemia[J].Journal of Clinical Medicine,2022,11(21):6377.[2]李医华,车俊杰,金美花.60岁以上老年人血脂异常患病水平及其影响因素分析[J].延边大学医学学报,2021,44(1):39-42.[3]赵红叶,万阳,游凯.北京市顺义区50岁以上人群血脂异常危险因素分析[J].医学信息,2022,35(8):143-146.[4]杨娟,李肖晓,程蕊蕊,等.墨玉县成年人群血脂异常调查[J].预防医学,2022,34(6):590-594,599.[5]高雅,钟晓妮,杨艳红,等.重庆市企事业单位职工血脂水平及分布特征[J].中华心血管病杂志,2012,40(5):432-435.[6]杨智仲,刘改生,赵智慧,等.不同工作环境下煤矿工人血脂异常情况及危险因素分析[J].中华劳动卫生职业病杂志,2018,36(10):742-745.[7]曲云婷.石化企业职工血脂异常、高血压现状及影响因素研究[D].沈阳:中国医科大学,2021.[8]毕新萍,曹红波,常静.哈密铁路辖区在职职工血脂异常患病率及影响因素分析[J].预防医学论坛,2022,28(6):442-445.[9]潘佳,曾红莲,杨波,等.成都市铁路职工血脂异常分布及其影响因素研究[J].广州医科大学学报,2021,49(5):65-69.[10]李勇.2016中国成人血脂异常防治指南更新要点解析[J].心脑血管病防治,2016,16(6):407-409.[11]中国成人血脂异常防治指南修订联合委员会.中国成人血脂异常防治指南(2016年修订版)[J].中国循环杂志,2016,31(10):937-950.[12]Tan K,Consultation WE.Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies[J].Lancet,2004,363(9403):157-163.[13]范长义,周成超,黄天资,等.山东地区铁路职工慢性病共病模式及相关性研究[J].中国慢性病预防与控制,2021,29(11):851-852,856.[14]Ramón-Arbués E,Martínez-Abadía B,Gracia-Tabuenca T,et al.Prevalence of overweight/obesity and its association with diabetes, hypertension, dyslipidemia and metabolic syndrome: a cross-sectional study of a sample of workers in Aragón,Spain[J].Nutr Hosp,2019,36(1):51-59.[15]Yang Y,Zheng Z,Chen Y,et al.A case control study on the relationship between occupational stress and genetic polymorphism and dyslipidemia in coal miners[J].Scientific Reports,2023,13(1):2321.[16]Wang Y.Applications of Lipidomics in Tumor Diagnosis and Therapy[J].Advances in Experimental Medicine and Biology,2021,1316:25-39.[17]Piché ME,Tardif I,Auclair A,et al.Effects of bariatric surgery on lipid-lipoprotein profile[J].Metabolism,2021,115:154441.[18]Sukhorukov VN,Karagodin VP,Orekhov AN.Modern methods of diagnosis dyslipidemia[J].Patol Fiziol Eksp Ter,2016,60(1):65-72.[19]Su X,Cheng Y,Zhang G,et al.Novel insights into the pathological mechanisms of metabolic related dyslipidemia[J].Molecular Biology Reports,2021,48(7):5675-5687.[20]Pirillo A,Casula M,Olmastroni E,et al.Global epidemiology of dyslipidaemias[J].Nature Reviews Cardiology,2021,18(10):689-700.

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更新日期/Last Update: 1900-01-01