Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China

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

doi:10.1016/j.ecoenv.2022.114354

Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China

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

Graduate School of Social Welfare

Research output: Contribution to journal › Article › peer-review

Abstract

Background and objectives: Studies on the effects of airborne particulates of diameter ≤ 1 µm (PM₁), airborne particulates of diameter ≤ 2.5 µm (PM_2.5) and airborne particulates of diameter ranges from 1 to 2.5 µm (PM_1–2.5) on incidence of hyperuricemia are limited. We aimed to investigate the associations between PM₁, PM_2.5, and PM_1–2.5 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 PM_2.5 were estimated with a spatiotemporal model. PM_1–2.5 concentrations were calculated by subtracting PM₁ from PM_2.5 concentrations. Cox's proportional hazards regressions models were used to examine the association between PM₁, PM_2.5, and PM_1–2.5 and hyperuricemia, adjusted for potential confounders. Associations between PM₁, PM_2.5, and PM_1–2.5 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, PM_2.5, and PM_1–2.5 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, PM_2.5, and PM_1–2.5, respectively. Stratified analyses indicated the positive associations of PM_2.5 and PM_1–2.5 with SUA levels were stronger in non-smokers, and PM₁, PM_2.5, and PM_1–2.5 with SUA levels were stronger in non-drinkers. Conclusion: Long-term PM₁, PM_2.5, and PM_1–2.5 exposures may increase the risk of hyperuricemia and elevate SUA levels among male traffic officers, especially in non-smokers and non-drinkers.

Original language	English
Article number	114354
Journal	Ecotoxicology and Environmental Safety
Volume	249
DOIs	https://doi.org/10.1016/j.ecoenv.2022.114354
Publication status	Published - 2023 Jan 1

Bibliographical note

Funding Information:
This work was supported by the Health Science and Technology Project of Guangzhou Municipal Health Commission ( 20201A010038 ), the Key Research and Development Program of Guangzhou Science and Technology Project ( 202206010061 ), the Guangzhou Key Medical Discipline ( 2021–2023 ), the Major Science and Technology Project of Guangzhou Municipal Health Commission ( 2021A031003 ), and the Guangxi Key Research and Development Plan ( GUIKEAB18050024 ).

Publisher Copyright:
© 2022 The Authors

All Science Journal Classification (ASJC) codes

Pollution
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ecoenv.2022.114354

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Tang, Y. X., Zhang, Y. T., Xu, Y. J., Qian, Z., Vaughn, M. G., McMillin, S. E., Chen, G. B., Song, H. D., Lu, Y. J., Li, Y. R., Dong, G. H., & Wang, Z. (2023). Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China. Ecotoxicology and Environmental Safety, 249, [114354]. https://doi.org/10.1016/j.ecoenv.2022.114354

@article{bac7dc4bb2a2486695a4018aa81ce72e,

title = "Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China",

abstract = "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.",

author = "Tang, {Yong Xiang} and Zhang, {Yun Ting} and Xu, {Yu Jie} and Qian, {Zhengmin (Min)} and Vaughn, {Michael G.} and McMillin, {Stephen Edward} and Chen, {Gong Bo} and Song, {Hui Dong} and Lu, {Ying Jun} and Li, {Yan Ru} and Dong, {Guang Hui} and Zhi Wang",

note = "Funding Information: This work was supported by the Health Science and Technology Project of Guangzhou Municipal Health Commission ( 20201A010038 ), the Key Research and Development Program of Guangzhou Science and Technology Project ( 202206010061 ), the Guangzhou Key Medical Discipline ( 2021–2023 ), the Major Science and Technology Project of Guangzhou Municipal Health Commission ( 2021A031003 ), and the Guangxi Key Research and Development Plan ( GUIKEAB18050024 ). Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2023",

month = jan,

day = "1",

doi = "10.1016/j.ecoenv.2022.114354",

language = "English",

volume = "249",

journal = "Ecotoxicology and Environmental Safety",

issn = "0147-6513",

publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Exposure to ambient particulate matter and hyperuricemia

T2 - An eight-year prospective cohort study on male traffic officers in China

AU - Tang, Yong Xiang

AU - Zhang, Yun Ting

AU - Xu, Yu Jie

AU - Qian, Zhengmin (Min)

AU - Vaughn, Michael G.

AU - McMillin, Stephen Edward

AU - Chen, Gong Bo

AU - Song, Hui Dong

AU - Lu, Ying Jun

AU - Li, Yan Ru

AU - Dong, Guang Hui

AU - Wang, Zhi

N1 - Funding Information: This work was supported by the Health Science and Technology Project of Guangzhou Municipal Health Commission ( 20201A010038 ), the Key Research and Development Program of Guangzhou Science and Technology Project ( 202206010061 ), the Guangzhou Key Medical Discipline ( 2021–2023 ), the Major Science and Technology Project of Guangzhou Municipal Health Commission ( 2021A031003 ), and the Guangxi Key Research and Development Plan ( GUIKEAB18050024 ). Publisher Copyright: © 2022 The Authors

PY - 2023/1/1

Y1 - 2023/1/1

N2 - 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.

AB - 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.

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Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China

Abstract

Bibliographical note

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UN SDGs

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