Associations between Lifestyles and Chronic Diseases in Occupational Population
Association between unhealthy lifestyles and diabetic dyslipidemia in occupational population and network analysis
Ma Chunlan, Yu Bin, Fan Yunzhe, Ye Tingting, Cai Changwei, Yang Bo, Zeng Honglian, Jia Peng, Yang Shujuan
Published 2024-03-10
Cite as Chin J Epidemiol, 2024, 45(3): 425-431. DOI: 10.3760/cma.j.cn112338-20230715-00007
Abstract
ObjectiveTo 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.
MethodsBased 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.
ResultsA 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.
ConclusionThe 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.
Key words:
Diabetic dyslipidemia; Occupational population; Network analysis; Unhealthy lifestyle
Contributor Information
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
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