Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China
Background and objectives: Studies on the effects of airborne particulates of diameter ≤ 1 µm (PM1), airborne particulates of diameter ≤ 2.5 µm (PM2.5) and airborne particulates of diameter ranges from 1 to 2.5 µm (PM1–2.5) on incidence of hyperuricemia are limited. We aimed to investigate the assoc...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651322011940 |
| _version_ | 1797961294096105472 |
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| author | Yong-Xiang Tang Yun-Ting Zhang Yu-Jie Xu Zhengmin (Min) Qian Michael G. Vaughn Stephen Edward McMillin Gong-Bo Chen Hui-Dong Song Ying-Jun Lu Yan-Ru Li Guang-Hui Dong Zhi Wang |
| author_facet | Yong-Xiang Tang Yun-Ting Zhang Yu-Jie Xu Zhengmin (Min) Qian Michael G. Vaughn Stephen Edward McMillin Gong-Bo Chen Hui-Dong Song Ying-Jun Lu Yan-Ru Li Guang-Hui Dong Zhi Wang |
| author_sort | Yong-Xiang Tang |
| collection | DOAJ |
| description | Background and objectives: Studies on the effects of airborne particulates of diameter ≤ 1 µm (PM1), airborne particulates of diameter ≤ 2.5 µm (PM2.5) and airborne particulates of diameter ranges from 1 to 2.5 µm (PM1–2.5) on incidence of hyperuricemia are limited. We aimed to investigate the associations between PM1, PM2.5, and PM1–2.5 and hyperuricemia among male traffic officers. Methods: We conducted a prospective cohort study of 1460 traffic officers without hyperuricemia in Guangzhou, China from 2009 to 2016. Exposures of PM1 and PM2.5 were estimated with a spatiotemporal model. PM1–2.5 concentrations were calculated by subtracting PM1 from PM2.5 concentrations. Cox's proportional hazards regressions models were used to examine the association between PM1, PM2.5, and PM1–2.5 and hyperuricemia, adjusted for potential confounders. Associations between PM1, PM2.5, and PM1–2.5 and serum uric acid (SUA) levels were evaluated with multiple linear regression models. Results: Hazard ratios (HRs) and 95% confidence intervals (CIs) of hyperuricemia associated with 10 μg/m3 increment in PM1, PM2.5, and PM1–2.5 were 1.67 (95% CI:1.30–2.36), 1.49 (95% CI: 1.27–1.75), and 2.18 (95% CI: 1.58–3.02), respectively. The SUA concentrations increased by 12.23 μmol/L (95% CI: 5.91–18.56), 6.93 μmol/L (95% CI: 3.02–10.84), and 8.72 μmol/L (95% CI: 0.76–16.68) per 10 μg/m3 increase in PM1, PM2.5, and PM1–2.5, respectively. Stratified analyses indicated the positive associations of PM2.5 and PM1–2.5 with SUA levels were stronger in non-smokers, and PM1, PM2.5, and PM1–2.5 with SUA levels were stronger in non-drinkers. Conclusion: Long-term PM1, PM2.5, and PM1–2.5 exposures may increase the risk of hyperuricemia and elevate SUA levels among male traffic officers, especially in non-smokers and non-drinkers. |
| first_indexed | 2024-04-11T00:56:44Z |
| format | Article |
| id | doaj.art-9cf9ed508f624d079ea72acf6a4def1d |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-04-11T00:56:44Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-9cf9ed508f624d079ea72acf6a4def1d2023-01-05T04:30:20ZengElsevierEcotoxicology and Environmental Safety0147-65132023-01-01249114354Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in ChinaYong-Xiang Tang0Yun-Ting Zhang1Yu-Jie Xu2Zhengmin (Min) Qian3Michael G. Vaughn4Stephen Edward McMillin5Gong-Bo Chen6Hui-Dong Song7Ying-Jun Lu8Yan-Ru Li9Guang-Hui Dong10Zhi Wang11Occupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, ChinaGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, ChinaGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, ChinaDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USASchool of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63103, USASchool of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63103, USAGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, ChinaOccupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, ChinaOccupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, ChinaOccupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, ChinaGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Correspondence to: Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China.Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China; Correspondence to: Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, 1 Tianqiang Road, West Huangpu Avenue, Tianhe District, Guangzhou 510620, China.Background and objectives: Studies on the effects of airborne particulates of diameter ≤ 1 µm (PM1), airborne particulates of diameter ≤ 2.5 µm (PM2.5) and airborne particulates of diameter ranges from 1 to 2.5 µm (PM1–2.5) on incidence of hyperuricemia are limited. We aimed to investigate the associations between PM1, PM2.5, and PM1–2.5 and hyperuricemia among male traffic officers. Methods: We conducted a prospective cohort study of 1460 traffic officers without hyperuricemia in Guangzhou, China from 2009 to 2016. Exposures of PM1 and PM2.5 were estimated with a spatiotemporal model. PM1–2.5 concentrations were calculated by subtracting PM1 from PM2.5 concentrations. Cox's proportional hazards regressions models were used to examine the association between PM1, PM2.5, and PM1–2.5 and hyperuricemia, adjusted for potential confounders. Associations between PM1, PM2.5, and PM1–2.5 and serum uric acid (SUA) levels were evaluated with multiple linear regression models. Results: Hazard ratios (HRs) and 95% confidence intervals (CIs) of hyperuricemia associated with 10 μg/m3 increment in PM1, PM2.5, and PM1–2.5 were 1.67 (95% CI:1.30–2.36), 1.49 (95% CI: 1.27–1.75), and 2.18 (95% CI: 1.58–3.02), respectively. The SUA concentrations increased by 12.23 μmol/L (95% CI: 5.91–18.56), 6.93 μmol/L (95% CI: 3.02–10.84), and 8.72 μmol/L (95% CI: 0.76–16.68) per 10 μg/m3 increase in PM1, PM2.5, and PM1–2.5, respectively. Stratified analyses indicated the positive associations of PM2.5 and PM1–2.5 with SUA levels were stronger in non-smokers, and PM1, PM2.5, and PM1–2.5 with SUA levels were stronger in non-drinkers. Conclusion: Long-term PM1, PM2.5, and PM1–2.5 exposures may increase the risk of hyperuricemia and elevate SUA levels among male traffic officers, especially in non-smokers and non-drinkers.http://www.sciencedirect.com/science/article/pii/S0147651322011940Particulate matterHyperuricemiaMale traffic officersChina |
| spellingShingle | Yong-Xiang Tang Yun-Ting Zhang Yu-Jie Xu Zhengmin (Min) Qian Michael G. Vaughn Stephen Edward McMillin Gong-Bo Chen Hui-Dong Song Ying-Jun Lu Yan-Ru Li Guang-Hui Dong Zhi Wang Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China Ecotoxicology and Environmental Safety Particulate matter Hyperuricemia Male traffic officers China |
| title | Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China |
| title_full | Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China |
| title_fullStr | Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China |
| title_full_unstemmed | Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China |
| title_short | Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China |
| title_sort | exposure to ambient particulate matter and hyperuricemia an eight year prospective cohort study on male traffic officers in china |
| topic | Particulate matter Hyperuricemia Male traffic officers China |
| url | http://www.sciencedirect.com/science/article/pii/S0147651322011940 |
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