| 马春兰,余彬,范云喆,叶婷婷,蔡长伟,杨波,曾红莲,贾鹏,杨淑娟.职业人群不健康生活方式与糖脂代谢异常的关联及网络分析[J].Chinese journal of Epidemiology,2024,45(3):425-431 |
| 职业人群不健康生活方式与糖脂代谢异常的关联及网络分析 |
| Association between unhealthy lifestyles and diabetic dyslipidemia in occupational population and network analysis |
| Received:July 15, 2023 |
| DOI：10.3760/cma.j.cn112338-20230715-00007 |
| KeyWord: 糖脂代谢异常 职业人群 网络分析 不健康生活方式 |
| English Key Word: Diabetic dyslipidemia Occupational population Network analysis Unhealthy lifestyle |
| FundProject:国家重点研发计划（2023YFC3604701）；国家自然科学基金（42271433）；四川省重点研发项目（2023YFS0251）；武汉大学人民医院交叉创新人才项目（JCRCYG-2022-003）；武汉大学学院国际化发展重点专项支持计划（WHU-GJZDZX-PT07） |
| Author Name | Affiliation | E-mail | | Ma Chunlan | West China School of Public Health/The Fourth Hospital of West China, Sichuan University, Chengdu 610041, China | | | Yu Bin | West China School of Public Health/The Fourth Hospital of West China, Sichuan University, Chengdu 610041, China
Institute for Disaster Management and Reconstruction, Sichuan University-the Hong Kong Polytechnic University, Chengdu 610207, China | | | Fan Yunzhe | West China School of Public Health/The Fourth Hospital of West China, Sichuan University, Chengdu 610041, China | | | Ye Tingting | West China School of Public Health/The Fourth Hospital of West China, Sichuan University, Chengdu 610041, China | | | Cai Changwei | West China School of Public Health/The Fourth Hospital of West China, Sichuan University, Chengdu 610041, China | | | Yang Bo | Affiliated Hospital of Chengdu University, Chengdu 610081, China | | | Zeng Honglian | Affiliated Hospital of Chengdu University, Chengdu 610081, China | | | Jia Peng | School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China
School of Public Health, Wuhan University, Wuhan 430071, China
International Institute of Spatial Lifecourse Health, Wuhan University, Wuhan 430072, China | jiapengff@hotmail.com | | Yang Shujuan | West China School of Public Health/The Fourth Hospital of West China, Sichuan University, Chengdu 610041, China
Affiliated Hospital of Chengdu University, Chengdu 610081, China
International Institute of Spatial Lifecourse Health, Wuhan University, Wuhan 430072, China | rekiny@126.com |
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| Abstract: |
| 目的 分析职业人群不健康生活方式对糖脂代谢异常的影响及关键影响因素，为糖脂代谢异常的预防提供科学依据。方法 基于2021年中国铁路成都局集团有限公司西南职业人群队列的基线数据和随访数据。糖脂代谢异常以糖尿病伴1项或多项血脂异常判断，不健康生活方式根据吸烟、饮酒、不健康膳食模式、低体力活动和BMI异常进行评分。通过多因素logistic回归模型分析不健康生活方式得分与糖脂代谢异常之间的关系，采用网络分析探索影响糖脂代谢的主要生活方式。结果 共纳入25 631名研究对象。不健康生活方式得分为2、3分人群患糖尿病伴≥1项血脂异常的风险分别为0分的1.93（95%CI：1.31~2.86）倍和2.37（95%CI：1.60~3.50）倍；不健康生活方式得分为1、2、3分人群患糖尿病伴≥2项血脂异常的风险分别为0分的1.98（95%CI：1.08~3.61）倍、2.87（95%CI：1.60~5.14）倍和3.95（95%CI：2.22~7.06）倍。网络分析发现BMI异常和HDL-C是连接不健康生活方式与糖脂代谢异常的“桥接节点”。结论 不健康生活方式得分越高，患糖脂代谢异常的风险越大，BMI异常和HDL-C是关联不健康生活方式和糖脂代谢异常的关键因素。 |
| English Abstract: |
| Objective To understand the influence of unhealthy lifestyle on diabetic dyslipidemia and the key influencing factors in occupational population and provided scientific evidence for the prevention of diabetic dyslipidemia. Methods Based on baseline data and follow-up data of Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during 2021. Diabetic dyslipidemia was defined as diabetes plus one or more forms of dyslipidemia, and unhealthy lifestyle factors included smoking, alcohol consumption, unhealthy dietary patterns, low physical activity, and abnormal BMI. Multivariate logistic regression model was used to analyze the relationship between unhealthy lifestyle scores and diabetic dyslipidemia, network analysis was used to find and explore the key lifestyles influencing glycolipid metabolism. Results A total of 25 631 subjects were included. People with unhealthy lifestyle score 2 and 3 were 1.93 (95%CI: 1.31-2.86) times and 2.37 (95%CI: 1.60-3.50) times more likely to have diabetes with ≥1 forms of dyslipidemia than those with scores of 0; People with unhealthy lifestyle score 1, 2 and 3 were 1.98 (95%CI: 1.08-3.61) times, 2.87 (95%CI: 1.60-5.14) times and 3.95 (95%CI: 2.22-7.06) times more likely to have diabetes with ≥2 forms of dyslipidemia than those with score 0. Network analysis found that abnormal BMI and HDL-C were the "bridge nodes" that link unhealthy lifestyles with diabetic dyslipidemia. Conclusion The higher the score of unhealthy lifestyle, the higher the risk for diabetic dyslipidemia, abnormal BMI and HDL-C are key factors influencing the association between unhealthy lifestyle and diabetic dyslipidemia. |
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