Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population
BackgroundUnhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. ObjectiveTo investigate the current status of CMRF≥2 and the compliance...
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Editorial Committee of Journal of Environmental and Occupational Medicine
2025-04-01
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| Series: | 环境与职业医学 |
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| Online Access: | http://www.jeom.org/article/cn/10.11836/JEOM24368 |
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| author | Baoyi LIANG Lyurong LI Yingjun CHEN Lingxiang XIE Gaisheng LIU Liuquan JIANG Lu YU Qingsong CHEN |
| author_facet | Baoyi LIANG Lyurong LI Yingjun CHEN Lingxiang XIE Gaisheng LIU Liuquan JIANG Lu YU Qingsong CHEN |
| author_sort | Baoyi LIANG |
| collection | DOAJ |
| description | BackgroundUnhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. ObjectiveTo investigate the current status of CMRF≥2 and the compliance of healthy lifestyle in male occupational personnel, explore the effect of lifestyle on cardiometabolic risk, and provide reference for formulating healthy behavior promotion strategies and reducing cardiometabolic risk in occupational populations. MethodsThe study subjects were selected from male workers who completed occupational health examinations at an occupational disease prevention and control hospital in Shanxi Province from May to December 2023, and 15125 study subjects aged 18−60 years were finally included according to pre-determined inclusion and exclusion criteria. All subjects received a series of assessments including questionnaires (basic information, lifestyle habits, and occupational factors), physical examination, laboratory tests, and six cardiometabolic risk factors (central obesity, hypertension, type 2 diabetes, hypertriglyceridemia, low-density lipoprotein cholesterolemia, and hyperuricemia). A healthy lifestyle score was calculated based on six behavioral factors (smoking, drinking, physical activity, diet, sleep, sedentary behavior) and 1 point for one positive healthy behavior. The enrolled workers were then divided into three groups according to their total scores: 0−1 points (poor group), 2−3 points (moderate group), and 4−6 points (good group). Logistic regression models were used to analyze the statistical associations between lifestyle and CMRF≥2. ResultsThe median age of the 15125 male study participants was 40 years, and the positive rate of CMRF≥2 was 53.5%. Adherence to moderate alcohol consumption was the most compliant healthy behavior (79.4%), followed by current non-smoking (41.7%), while adherence to adequate sedentary behavior (23.6%) and healthy eating (21.1%) were relatively low, and only 17.4% were able to adhere to four or more healthy lifestyle behaviors. After adjusting for confounders, when compared with the poor group high lifestyle score was found to be a protective factor for CMRF≥2 (moderate group: OR=0.70, 95%CI: 0.63, 0.77; good group: OR=0.66, 95%CI: 0.58, 0.75). In stratified analyses across different job types (coal miners, auxiliary workers, ground workers, and others), occupational stress (with or without), shift patterns (day shift, night shift, or rotating shift), dust exposure (with or without), and noise exposure (with or without), individuals with higher lifestyle scores exhibited a consistently lower risk of CMRF≥2. There was an interaction between shift pattern and lifestyle on CMRF≥2 (Pinteraction<0.05).ConclusionThis occupational group has a high positive rate of CMRF≥2 and a high prevalence of poor lifestyles with low adherence to some healthy behaviors. High healthy lifestyle scores are associated with a lower risk of aggregation of cardiometabolic risk factors, which may be reduced through lifestyle interventions. |
| format | Article |
| id | doaj-art-5adaba9500a14daa9b6dd7e2d111f8fd |
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| issn | 2095-9982 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Editorial Committee of Journal of Environmental and Occupational Medicine |
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| series | 环境与职业医学 |
| spelling | doaj-art-5adaba9500a14daa9b6dd7e2d111f8fd2025-08-20T02:19:03ZengEditorial Committee of Journal of Environmental and Occupational Medicine环境与职业医学2095-99822025-04-0142438539110.11836/JEOM2436824368Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational populationBaoyi LIANG0Lyurong LI1Yingjun CHEN2Lingxiang XIE3Gaisheng LIU4Liuquan JIANG5Lu YU6Qingsong CHEN7School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510310, ChinaSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510310, ChinaSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510310, ChinaSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510310, ChinaXishan Coal Electricity (Group) Corporation Occupational Disease Prevention Institute, Taiyuan, Shanxi 030053, ChinaXishan Coal Electricity (Group) Corporation Occupational Disease Prevention Institute, Taiyuan, Shanxi 030053, ChinaSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510310, ChinaSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510310, ChinaBackgroundUnhealthy lifestyle behaviors may be associated with an increased risk of cardiometabolic risk factor aggregation (CMRF≥ 2), and few studies have focused on the correlation between the two in occupational populations. ObjectiveTo investigate the current status of CMRF≥2 and the compliance of healthy lifestyle in male occupational personnel, explore the effect of lifestyle on cardiometabolic risk, and provide reference for formulating healthy behavior promotion strategies and reducing cardiometabolic risk in occupational populations. MethodsThe study subjects were selected from male workers who completed occupational health examinations at an occupational disease prevention and control hospital in Shanxi Province from May to December 2023, and 15125 study subjects aged 18−60 years were finally included according to pre-determined inclusion and exclusion criteria. All subjects received a series of assessments including questionnaires (basic information, lifestyle habits, and occupational factors), physical examination, laboratory tests, and six cardiometabolic risk factors (central obesity, hypertension, type 2 diabetes, hypertriglyceridemia, low-density lipoprotein cholesterolemia, and hyperuricemia). A healthy lifestyle score was calculated based on six behavioral factors (smoking, drinking, physical activity, diet, sleep, sedentary behavior) and 1 point for one positive healthy behavior. The enrolled workers were then divided into three groups according to their total scores: 0−1 points (poor group), 2−3 points (moderate group), and 4−6 points (good group). Logistic regression models were used to analyze the statistical associations between lifestyle and CMRF≥2. ResultsThe median age of the 15125 male study participants was 40 years, and the positive rate of CMRF≥2 was 53.5%. Adherence to moderate alcohol consumption was the most compliant healthy behavior (79.4%), followed by current non-smoking (41.7%), while adherence to adequate sedentary behavior (23.6%) and healthy eating (21.1%) were relatively low, and only 17.4% were able to adhere to four or more healthy lifestyle behaviors. After adjusting for confounders, when compared with the poor group high lifestyle score was found to be a protective factor for CMRF≥2 (moderate group: OR=0.70, 95%CI: 0.63, 0.77; good group: OR=0.66, 95%CI: 0.58, 0.75). In stratified analyses across different job types (coal miners, auxiliary workers, ground workers, and others), occupational stress (with or without), shift patterns (day shift, night shift, or rotating shift), dust exposure (with or without), and noise exposure (with or without), individuals with higher lifestyle scores exhibited a consistently lower risk of CMRF≥2. There was an interaction between shift pattern and lifestyle on CMRF≥2 (Pinteraction<0.05).ConclusionThis occupational group has a high positive rate of CMRF≥2 and a high prevalence of poor lifestyles with low adherence to some healthy behaviors. High healthy lifestyle scores are associated with a lower risk of aggregation of cardiometabolic risk factors, which may be reduced through lifestyle interventions.http://www.jeom.org/article/cn/10.11836/JEOM24368working populationlifestylehealthy lifestyle adherencecardiometabolic risk factor aggregationcross-sectional study |
| spellingShingle | Baoyi LIANG Lyurong LI Yingjun CHEN Lingxiang XIE Gaisheng LIU Liuquan JIANG Lu YU Qingsong CHEN Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population 环境与职业医学 working population lifestyle healthy lifestyle adherence cardiometabolic risk factor aggregation cross-sectional study |
| title | Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population |
| title_full | Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population |
| title_fullStr | Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population |
| title_full_unstemmed | Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population |
| title_short | Association between lifestyle and cardiovascular-metabolic risk factor aggregation in a young and middle-aged male occupational population |
| title_sort | association between lifestyle and cardiovascular metabolic risk factor aggregation in a young and middle aged male occupational population |
| topic | working population lifestyle healthy lifestyle adherence cardiometabolic risk factor aggregation cross-sectional study |
| url | http://www.jeom.org/article/cn/10.11836/JEOM24368 |
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