Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models
Abstract Objective: To investigate the association between coal dust exposure and the occurrence of dyslipidemia in coal mine workers, and identify relevant risk factors. Methods: We selected a population who underwent occupational health examinations at Huainan Yangguang Xinkang Hospital from March...
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-74718-5 |
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| author | Hui Zhao Huihui Tao Jifeng Fu Weilong Hou Chunxiao Hu Yafeng Liu Xuansheng Ding Dong Hu Yong Dai |
| author_facet | Hui Zhao Huihui Tao Jifeng Fu Weilong Hou Chunxiao Hu Yafeng Liu Xuansheng Ding Dong Hu Yong Dai |
| author_sort | Hui Zhao |
| collection | DOAJ |
| description | Abstract Objective: To investigate the association between coal dust exposure and the occurrence of dyslipidemia in coal mine workers, and identify relevant risk factors. Methods: We selected a population who underwent occupational health examinations at Huainan Yangguang Xinkang Hospital from March 2020 to July 2022. Participants were divided into two groups based on the presence or absence of dyslipidemia, and their baseline information was collected, including records of coal dust exposure. We employed single-factor analysis to identify risk factors for dyslipidemia and adjusted for confounding factors in the adjusted models. Additionally, we explored the effects in different populations using stratified analysis, smooth curve fitting, and propensity score matching. Finally, we confirmed the causal relationship between coal dust exposure and dyslipidemia by examining tissue sections and lipid-related indicators in a mouse model of coal dust exposure. Results A total of 5,657 workers were included in the study, among whom 924 individuals had dyslipidemia and 4,743 individuals did not have dyslipidemia. The results of the single-factor analysis revealed that dust exposure, age, BMI, blood pressure, and smoking were statistically significant risk factors for dyslipidemia (p < 0.05). Additionally, the three multivariate models, adjusted for different confounders, consistently showed a significant increase in the risk of dyslipidemia associated with coal dust exposure (Model 1: OR, 1.869; Model 2: OR, 1.863; Model 3: OR, 2.033). After conducting stratified analysis, this positive correlation remained significant. Furthermore, propensity score matching analysis revealed that with increasing years of work, the risk of dyslipidemia gradually increased, reaching 50% at 11 years. In the mouse model of coal dust exposure, significant coal dust deposition was observed in the lungs and livers of the mice, accompanied by elevated levels of total cholesterol (TC), alanine transaminase (ALT), aspartate transaminase (AST), and low-density lipoprotein cholesterol (LDL-C). Conclusion Exposure to coal dust significantly increases the risk of developing dyslipidemia, and this positive correlation exists in different populations, particularly with increasing years of work, resulting in a higher risk. Keywords: Dust, occupational health, dyslipidemia, risk factors, cross-sectional study. |
| format | Article |
| id | doaj-art-317d9916cf9f4d00b9fde8952f63a77f |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-317d9916cf9f4d00b9fde8952f63a77f2025-08-20T02:13:24ZengNature PortfolioScientific Reports2045-23222024-11-0114111010.1038/s41598-024-74718-5Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal modelsHui Zhao0Huihui Tao1Jifeng Fu2Weilong Hou3Chunxiao Hu4Yafeng Liu5Xuansheng Ding6Dong Hu7Yong Dai8School of Medicine, Anhui University of Science and TechnologySchool of Medicine, Anhui University of Science and TechnologySchool of Medicine, Anhui University of Science and TechnologyHuainan Sunshine Xinkang HospitalSchool of Medicine, Anhui University of Science and TechnologySchool of Medicine, Anhui University of Science and TechnologySchool of Medicine, Anhui University of Science and TechnologySchool of Medicine, Anhui University of Science and TechnologyJoint Research Center for Occupational Medicine and Health of IHM, Anhui University of Science and TechnologyAbstract Objective: To investigate the association between coal dust exposure and the occurrence of dyslipidemia in coal mine workers, and identify relevant risk factors. Methods: We selected a population who underwent occupational health examinations at Huainan Yangguang Xinkang Hospital from March 2020 to July 2022. Participants were divided into two groups based on the presence or absence of dyslipidemia, and their baseline information was collected, including records of coal dust exposure. We employed single-factor analysis to identify risk factors for dyslipidemia and adjusted for confounding factors in the adjusted models. Additionally, we explored the effects in different populations using stratified analysis, smooth curve fitting, and propensity score matching. Finally, we confirmed the causal relationship between coal dust exposure and dyslipidemia by examining tissue sections and lipid-related indicators in a mouse model of coal dust exposure. Results A total of 5,657 workers were included in the study, among whom 924 individuals had dyslipidemia and 4,743 individuals did not have dyslipidemia. The results of the single-factor analysis revealed that dust exposure, age, BMI, blood pressure, and smoking were statistically significant risk factors for dyslipidemia (p < 0.05). Additionally, the three multivariate models, adjusted for different confounders, consistently showed a significant increase in the risk of dyslipidemia associated with coal dust exposure (Model 1: OR, 1.869; Model 2: OR, 1.863; Model 3: OR, 2.033). After conducting stratified analysis, this positive correlation remained significant. Furthermore, propensity score matching analysis revealed that with increasing years of work, the risk of dyslipidemia gradually increased, reaching 50% at 11 years. In the mouse model of coal dust exposure, significant coal dust deposition was observed in the lungs and livers of the mice, accompanied by elevated levels of total cholesterol (TC), alanine transaminase (ALT), aspartate transaminase (AST), and low-density lipoprotein cholesterol (LDL-C). Conclusion Exposure to coal dust significantly increases the risk of developing dyslipidemia, and this positive correlation exists in different populations, particularly with increasing years of work, resulting in a higher risk. Keywords: Dust, occupational health, dyslipidemia, risk factors, cross-sectional study.https://doi.org/10.1038/s41598-024-74718-5 |
| spellingShingle | Hui Zhao Huihui Tao Jifeng Fu Weilong Hou Chunxiao Hu Yafeng Liu Xuansheng Ding Dong Hu Yong Dai Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models Scientific Reports |
| title | Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models |
| title_full | Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models |
| title_fullStr | Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models |
| title_full_unstemmed | Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models |
| title_short | Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models |
| title_sort | cross sectional analysis of dyslipidemia risk in coal mine workers from epidemiology to animal models |
| url | https://doi.org/10.1038/s41598-024-74718-5 |
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