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Zhang J, Zhang H, Qiu J, Tang X, Wang Y, Hou J, Liu X, Zheng Z, Wang F, Wang C. Long-term exposure to ambient PM 2.5 and its components associated with hyperuricemia: Evidence from a rural cohort study. JOURNAL OF HAZARDOUS MATERIALS 2025; 492:138197. [PMID: 40203753 DOI: 10.1016/j.jhazmat.2025.138197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Revised: 03/12/2025] [Accepted: 04/05/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND Current research lacks the association of PM2.5 and its components exposure with hyperuricemia (HUA). This study aimed to explore the association of PM2.5 and its components with HUA and to identify harmful components as well as susceptible populations. METHODS A total of 22,765 participants were derived from the Henan rural cohort. PM2.5 and its components data were obtained from the Tracking Air Pollution (TAP) dataset in China. Generalized linear models (GLM) were utilized to evaluate the association between PM2.5 and its components with HUA. Restricted cubic splines were employed to explore the dose-response relationship. Additionally, the weighted quantile sum (WQS) method was used to assess the joint effect of PM2.5 components and their relative contribution to HUA. RESULTS After adjusting for confounders, the odds ratios (OR) and 95 % confidence interval (CI) for per standard deviation (SD) increase in PM2.5, black carbon (BC), nitrate (NO3-), sulfate (SO42-), ammonium (NH4+), and organic matter (OM) were 1.81 (1.43, 2.30), 1.69 (1.38, 2.07), 1.70 (1.39, 2.08), 1.73 (1.40, 2.14), 1.67 (1.38, 2.04), and 1.58 (1.30, 1.92), respectively. Joint exposure to the five major chemical components also showed a positive association with the risk of HUA [1.09 (1.04, 1.15)], with NO3- contributing most significantly to the combined effect of the pollutant mixture. Additionally, exposure to PM2.5 and its components showed a nonlinear dose-response relationship with HUA (P nonlinear < 0.05). Stratified analysis indicated that men may be more susceptible to the effects of environmental PM2.5 and BC. CONCLUSION PM2.5 and its components increased the risk of HUA, with NO3- being the primary contributor, and men were more susceptible to the effects of PM2.5 and BC. The findings suggests that reducing PM2.5 levels could bring significant public health benefits.
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Affiliation(s)
- Jian Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Huanxiang Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jia Qiu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiuli Tang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yali Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhaohui Zheng
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, PR China
| | - Fengling Wang
- College of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Wang H, Li Z, Wang J, Liu Y, Xiao G, Quan H, Chen X, Zhang S. Independent and joint air pollutants exposure associated with kidney dysfunction mediating by hematocyte. Sci Rep 2025; 15:10033. [PMID: 40122905 PMCID: PMC11930966 DOI: 10.1038/s41598-025-95204-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 03/19/2025] [Indexed: 03/25/2025] Open
Abstract
Air pollution is associated with hyperuricemia; however, its underlying mechanism remains poorly understood. In this retrospective analysis, 233 anonymous health data and urban air pollutants data were obtained. The mean daily exposure dose (DED) for combined air pollutants (CAPs) was 1.22 mg/day, which was defined as the threshold for dividing all individuals into two groups. The lower-exposure group (LEG) included those with a DED-CAPs less than or equal to 1.22 mg/day and the higher-exposure group (HEG) included those with a DED-CAPs that exceeded 1.22 mg/day. The peripheral blood cell counts of white blood cells, eosinophils, basophils, monocytes, and red blood cells were higher in the HEG than in the LEG, whereas peripheral platelet counts were lower in the HEG than in the LEG. In addition, serum uric acid (UA) levels were higher in the HEG than in the LEG. Multivariable-adjusted linear regression models suggested that with an increase in the daily exposure dose to air pollution, peripheral blood cells and serum UA levels increased. The results of mediation effect models further indicated that peripheral monocyte counts play a mediating role in the dose effect relationships between air pollutant exposures and serum UA levels. These results highlight that air pollution may increase serum UA levels by altering hematocytes inducing low-grade inflammation, which may ultimately increase the risk of kidney dysfunction.
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Affiliation(s)
- Huanhuan Wang
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, People's Republic of China
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College (Nuclear Industry 416 Hospital), Chengdu, 610051, Sichuan, People's Republic of China
| | - Zhongcheng Li
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College (Nuclear Industry 416 Hospital), Chengdu, 610051, Sichuan, People's Republic of China
| | - Jing Wang
- Department of Laboratory Medicine, Mianyang Central Hospital, Mianyang, 621000, Sichuan, People's Republic of China
| | - Yanting Liu
- Department of Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, People's Republic of China
| | - Guangjun Xiao
- Department of Laboratory Medicine, Suining Central Hospital, Suining, 629000, Sichuan, People's Republic of China
| | - Hui Quan
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College (Nuclear Industry 416 Hospital), Chengdu, 610051, Sichuan, People's Republic of China
| | - Xi Chen
- Department of Laboratory Medicine, Mianyang Central Hospital, Mianyang, 621000, Sichuan, People's Republic of China
| | - Shaocheng Zhang
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chengdu Medical College (Nuclear Industry 416 Hospital), Chengdu, 610051, Sichuan, People's Republic of China.
- Western Institute of Digital-Intelligent Medicine, Chongqing, 401329, People's Republic of China.
- School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
- Chongqing Precision Medicine Industrial Technology Research Institute, Chongqing, 400799, People's Republic of China.
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Feng J, Niu H, Zhu S, Xiang W, Li X, Deng Y, Xu X, Yang W, Chung MC. Famine exposure in early life increases risk of cataracts in elderly stage. Front Nutr 2024; 11:1395205. [PMID: 38966422 PMCID: PMC11222645 DOI: 10.3389/fnut.2024.1395205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/10/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Epidemiological studies have shown that early-life nutritional deficiencies are associated with an increased risk of diseases later in life. This study aimed to explore the correlation between famine exposure during the early stages of life and cataracts. METHODS We included 5,931 participants from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2018 cross-sectional data in our study. Subjects were categorized into three groups by their age during the famine: adulthood group, school age famine exposure group, and teenage famine exposure group. Utilizing binary logistic regression models, we investigated the relationship between early-life famine exposure and cataracts. RESULTS Compared to the adulthood group, both the school age exposure group (OR = 2.49, 95%CI = 1.89-3.27) and teenage exposure group (OR = 1.45, 95%CI = 1.20-1.76) had a heightened risk of developing cataracts in elderly stage. And the sex differences in the impact of famine during early years on elderly cataract risk were observed, particularly indicating a higher risk among women who experienced childhood famine compared to men with similar exposure. CONCLUSION Famine exposure during the early stages of life is associated with a heightened risk of developing cataracts in old age. To prevent cataracts in elderly individuals, particularly in females, measures should be taken to address nutritional deficiencies in these specific periods.
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Affiliation(s)
- Jiayuan Feng
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi Province, China
| | - Hui Niu
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi Province, China
| | - Sijing Zhu
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
| | - Wanwan Xiang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi Province, China
| | - Xiaoxue Li
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi Province, China
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Deng
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
| | - Xu Xu
- Human Resources Department, The First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, Shaanxi Province, China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal and Child Health Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi Province, China
| | - Mei Chun Chung
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
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Márquez-Lázaro J, Madera M, Bernabe E. Particulate matter 2.5 exposure during pregnancy and birth outcomes: Evidence from Colombia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172369. [PMID: 38604361 DOI: 10.1016/j.scitotenv.2024.172369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
Particulate matter is a type of air pollution that consists of fine particles with a diameter <2.5 μm (PM2.5), which can easily penetrate the respiratory system and enter the bloodstream, increasing health risks for pregnant women and their unborn babies. Recent reports have suggested that there is a positive association between PM2.5 exposure and adverse pregnancy outcomes. However, most evidence of this relationship comes from Western countries. Thus, the objective of this study was to evaluate the association between PM2.5 exposure during pregnancy and birth outcomes among pregnant women in Colombia. This study included 542,800 singletons born in 2019 to Colombian women, aged 15+ years, residing in 981 municipalities. Data on parental, child and birth characteristics were extracted from anonymized live birth records. Satellite-based estimates of monthly PM2.5 concentrations at the surface level were extracted for each municipality from the Atmospheric Composition Analysis Group (ACAG). PM2.5 exposure during pregnancy was indicated by the monthly average of PM2.5 concentrations across the pregnancy duration for the municipality where the child was born. The associations of municipality-level PM2.5 concentration during pregnancy with pre-term birth (PTB) and low birth weight (LBW) were tested in separate two-level logistic regression models, with babies nested within municipalities. The prevalence of PTB and LBW were 8.6 % and 8.3 %, respectively. The mean PM2.5 concentration across the 981 municipalities was 18.26 ± 3.30 μg/m3, ranging from 9.11 to 31.44 μg/m3. Greater PM2.5 concentration at municipality level was associated with greater odds of PTB (1.05; 95%CI: 1.04-1.06) and LBW (1.04; 95%CI: 1.03-1.05), after adjustment for confounders. Our findings provide new evidence on the association between PM2.5 on adverse pregnancy outcomes from a middle-income country.
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Affiliation(s)
- Johana Márquez-Lázaro
- Medicine program, TOXSA group, Corporación Universitaria Rafael Núñez, Cartagena, Colombia.
| | - Meisser Madera
- Department of Research, Faculty of Dentistry, Universidad de Cartagena, Cartagena, Colombia.
| | - Eduardo Bernabe
- Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
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Shi W, Schooling CM, Leung GM, Zhao JV. Early-life exposure to ambient air pollutants and kidney function in adolescents: a cohort study based on the 'Children of 1997' Hong Kong birth cohort. Public Health 2024; 230:59-65. [PMID: 38507917 DOI: 10.1016/j.puhe.2024.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/05/2024] [Accepted: 02/14/2024] [Indexed: 03/22/2024]
Abstract
OBJECTIVES Air pollution is increasingly linked to impaired kidney function in adults. However, little is known about how early-life exposure to air pollutants affects kidney function in adolescents. STUDY DESIGN Cohort study. METHODS We leveraged data from the 'Children of 1997' Hong Kong population-representative birth cohort (N = 8327). Residential exposure to average ambient levels of four air pollutants, including inhalable particle (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and nitrogen monoxide (NO), during in utero, infancy, and childhood periods was estimated using the inverse distance weighting. Kidney function was assessed using estimated glomerular filtration rate (eGFR) calculated from age-adjusted equations for adolescents. Generalized linear regression was used to examine the association of air pollutant exposure in each period with kidney function at 17.6 years. Two-pollutant models tested the robustness of the association. RESULTS Of the 3350 participants included, 51.4% were boys. Exposure to PM10 was associated with poorer kidney function. Each interquartile range increment in PM10 was inversely associated with eGFR (β: -2.933, 95% confidence interval -4.677 to -1.189) in utero, -2.362 (-3.992 to -0.732) infancy, -2.708 (-4.370 to -1.047) childhood, and -2.828 (-4.409 to -1.247) overall. Exposure to PM10 and SO2in utero had a stronger inverse association with kidney function in males. The associations were robust to PM10 exposure in two-pollutant models. CONCLUSIONS Our findings suggest that early-life exposure to ambient PM10 and SO2 is associated with reduced kidney function in adolescents, especially exposure in utero.
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Affiliation(s)
- W Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - C M Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; School of Public Health and Health Policy, City University of New York, New York, NY, USA
| | - G M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - J V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
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Duan L, Zhang M, Cao Y, Du Y, Chen M, Xue R, Shen M, Luo D, Xiao S, Duan Y. Exposure to ambient air pollutants is associated with an increased incidence of hyperuricemia: A longitudinal cohort study among Chinese government employees. ENVIRONMENTAL RESEARCH 2023; 235:116631. [PMID: 37442260 DOI: 10.1016/j.envres.2023.116631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 06/26/2023] [Accepted: 07/10/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND It is widely recognized that ambient air pollution can induce various detrimental health outcomes. However, evidence linking ambient air pollutants and hyperuricemia incidence is scarce. OBJECTIVES To assess the association between long-term air pollution exposure and the risk of hyperuricemia. METHODS In this study, a total of 5854 government employees without hyperuricemia were recruited and followed up from January 2018 to June 2021 in Hunan Province, China. Hyperuricemia was defined as serum uric acid (SUA) level of >420 μmol/L for men and >360 μmol/L for women or use of SUA-lowering medication or diagnosed as hyperuricemia during follow-up. Data from local air quality monitoring stations were used to calculate individual exposure levels of PM10, PM2.5, SO2 and NO2 by inverse distance weightingn (IDW) method. Cox proportional hazard model was applied to evaluate the causal relationships between air pollutant exposures and the risk of hyperuricemia occurrence after adjustment for potential confounders and meanwhile, restricted cubic spline was used to explore the dose-response relationships. RESULTS The results indicated that exposures to PM10 (hazard ratio, HR = 1.042, 95% conficence interal, 95% CI: 1.028, 1.057), PM2.5 (HR = 1.204, 95% CI: 1.141, 1.271) and NO2 (HR = 1.178, 95% CI: 1.125,1.233) were associated with an increased HR of hyperuricemia. In addition, a nonlinear dose-response relationship was found between PM10 exposure level and the HR of hyperuricemia (p for nonlinearity = 0.158) with a potential threshold of 50.11 μg/m3. Subgroup analysis demonstrated that participants usually waking up at night and using natural ventilation were more vulnerable to the exposures of PM10, PM2.5, NO2, and SO2. CONCLUSION Long-term exposures to ambient PM10, PM2.5 and NO2 are associated with an increased incidence of hyperuricemia among Chinese government employees.
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Affiliation(s)
- Lidan Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Muyang Zhang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yuhan Cao
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yuwei Du
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Meiling Chen
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Rumeng Xue
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Minxue Shen
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Dan Luo
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, China
| | - Yanying Duan
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
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Lv S, Li Z, Li H, Liu M, Wu Z, Yu S, Wu B, Gao B, Tao L, Luo Y, Li X, Guo X, Liu X. Long-term effects of PM 2.5 components on hypertension: A national analysis in China. ENVIRONMENTAL RESEARCH 2023; 222:115323. [PMID: 36681144 DOI: 10.1016/j.envres.2023.115323] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/08/2023] [Accepted: 01/16/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Evidence is less about the associations between fine particulate matter (PM2.5) components and hypertension. We aimed to examine the long-term effects of PM2.5 components on prevalence of hypertension, diastolic blood pressure (DBP) and systolic blood pressure (SBP). METHODS We included participants between March 1, and July 31, 2021, from 13 provinces in China. Geocoded residential address was used for exposure assignment. Mixed-effect regression was used to assess 3-year average concentrations of PM2.5 and its components (black carbon, organic matter, nitrate, ammonium, and sulfate) on prevalence of hypertension, DBP and SBP with covariate-adjusted. SHapley Additive exPlanation was used to compare the contribution of PM2.5 components to hypertension, DBP, and SBP. Sex and age subgroup were also analyzed. RESULTS We enrolled a total of 113,159 participants aged ≥18 years. Long-term exposure to PM2.5 and its components (black carbon, organic matter, nitrate, ammonium, and sulfate) had associations with prevalence of hypertension, with the Odds Ratios and 95% confidence interval (CI) of 1.06 (95%CI: 1.03-1.09), 1.07 (95%CI: 1.04-1.09), 1.07 (95%CI: 1.04-1.10), 1.05 (95%CI: 1.01-1.08), 1.03 (95%CI: 1.00-1.06), and 1.03 (95%CI: 1.00-1.04), respectively. Effects of that except for black carbon on DBP with per interquartile upticks of concentration were 0.23 (95%CI: 0.11-0.35), 0.17 (95%CI: 0.04-0.29), 0.35 (95%CI: 0.21-0.48), 0.40 (95%CI: 0.28-0.52), and 0.25 (95%CI: 0.13-0.26), respectively. Ammonium was associated with SBP, corresponding to an increase of 0.18 (95%CI: 0.01-0.35). Males had higher risks of DBP (Z = 2.54-6.08, P < 0.001). Older people were substantially more affected by PM2.5 and its components. Nitrate showed the highest contribution to hypertension, DBP and SBP compared with other components. CONCLUSIONS Long-term exposure to PM2.5 and its components had adverse consequences on prevalence of hypertension, DBP and SBP, especially for males and older people. Nitrate contributed the highest to hypertension, DBP and SBP. Findings may have implications for pollution and hypertension control.
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Affiliation(s)
- Shiyun Lv
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhiwei Li
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haibin Li
- Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Mengmeng Liu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, China
| | - Zhiyuan Wu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Siqi Yu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Binqiang Wu
- School of Public Health, Capital Medical University, Beijing, China
| | - Bo Gao
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanxia Luo
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, China.
| | - Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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Tang YX, Zhang YT, Xu YJ, Qian ZM, Vaughn MG, McMillin SE, Chen GB, Song HD, Lu YJ, Li YR, Dong GH, Wang Z. Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114354. [PMID: 36508833 DOI: 10.1016/j.ecoenv.2022.114354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/23/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
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.
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Affiliation(s)
- Yong-Xiang Tang
- Occupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Yun-Ting Zhang
- 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, Guangzhou 510080, China
| | - Yu-Jie Xu
- 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, Guangzhou 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63103, USA
| | - Gong-Bo Chen
- 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, Guangzhou 510080, China
| | - Hui-Dong Song
- Occupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Ying-Jun Lu
- Occupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Yan-Ru Li
- Occupational Health Surveillance Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Guang-Hui Dong
- 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, Guangzhou 510080, China.
| | - Zhi Wang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China.
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