Academic Journal
Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models
| Title: | Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models |
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| Authors: | Hui Zhao, Huihui Tao, Jifeng Fu, Weilong Hou, Chunxiao Hu, Yafeng Liu, Xuansheng Ding, Dong Hu, Yong Dai |
| Source: | Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024) |
| Publisher Information: | Nature Portfolio, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | Medicine, Science |
| More Details: | 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 |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-74718-5 |
| Access URL: | https://doaj.org/article/317d9916cf9f4d00b9fde8952f63a77f |
| Accession Number: | edsdoj.317d9916cf9f4d00b9fde8952f63a77f |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-024-74718-5 |
| Published in: | Scientific Reports |
| Language: | English |