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Liu W, Ye L, Hua B, Yang Y, Dong Z, Jiang Y, Li J, Sun X, Ye D, Wen C, Mao Y, He Z. Association between combined exposure to ambient air pollutants, genetic risk, and incident gout risk: A prospective cohort study in the UK Biobank. Semin Arthritis Rheum 2024; 66:152445. [PMID: 38579592 DOI: 10.1016/j.semarthrit.2024.152445] [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: 01/12/2024] [Revised: 03/02/2024] [Accepted: 03/17/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Limited research has been conducted on the association between long-term exposure to air pollutants and the incidence of gout. OBJECTIVES This study aims to assess the individual and combined effects of prolonged exposure to five air pollutants (NO2, NOx, PM10, PMcoarse and PM2.52) on the incidence of gout among 458,884 initially gout-free participants enrolled in the UK Biobank. METHODS Employing a land use regression model, we utilized an estimation method to ascertain the annual concentrations of the five air pollutants. Subsequently, we devised a weighted air pollution score to facilitate a comprehensive evaluation of exposure. The Cox proportional hazards model was utilized to investigate the association between ambient air pollution and gout risk. Interaction and stratification analyses were conducted to evaluate age, sex, BMI, and genetic predisposition as potential effect modifiers in the air pollution-gout relationship. Furthermore, mediation analyses were conducted to explore the potential involvement of biomarkers in mediating the association between air pollution and gout. RESULTS Over a median follow-up time of 12.0 years, 7,927 cases of gout were diagnosed. Significant associations were observed between the risk of gout and a per IQR increase in NO2 (HR3: 1.05, 95 % CI4: 1.02-1.08, p = 0.003), NOx (HR: 1.04, 95 % CI: 1.01-1.06, p = 0.003), and PM2.5 (HR: 1.03, 95 % CI: 1.00-1.06, p = 0.030). Per IQR increase in the air pollution score was associated with an elevated risk of gout (p = 0.005). Stratified analysis revealed a significant correlation between the air pollution score and gout risk in participants ≥60 years (HR: 1.05, 95 % CI: 1.02-1.09, p = 0.005), but not in those <60 years (p = 0.793), indicating a significant interaction effect with age (p-interaction=0.009). Mediation analyses identified five serum biomarkers (SUA:15.87 %, VITD: 5.04 %, LDLD: 3.34 %, GGT: 1.90 %, AST: 1.56 %5) with potential mediation effects on this association. CONCLUSIONS Long-term exposure to air pollutants, particularly among the elderly population, is associated with an increased risk of gout. The underlying mechanisms of these associations may involve the participation of five serum biomarkers.
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Affiliation(s)
- Wei Liu
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Lihong Ye
- Department of Infection Prevention and Control, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, Zhejiang, PR China
| | - Baojie Hua
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Yudan Yang
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Ziwei Dong
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Yuqing Jiang
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Jiayu Li
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Xiaohui Sun
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Ding Ye
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Chengping Wen
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, PR China
| | - Yingying Mao
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China.
| | - Zhixing He
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, PR 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: 0] [Impact Index Per Article: 0] [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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Schulte PA, Jacklitsch BL, Bhattacharya A, Chun H, Edwards N, Elliott KC, Flynn MA, Guerin R, Hodson L, Lincoln JM, MacMahon KL, Pendergrass S, Siven J, Vietas J. Updated assessment of occupational safety and health hazards of climate change. JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE 2023; 20:183-206. [PMID: 37104117 PMCID: PMC10443088 DOI: 10.1080/15459624.2023.2205468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Workers, particularly outdoor workers, are among the populations most disproportionately affected by climate-related hazards. However, scientific research and control actions to comprehensively address these hazards are notably absent. To assess this absence, a seven-category framework was developed in 2009 to characterize the scientific literature published from 1988-2008. Using this framework, a second assessment examined the literature published through 2014, and the current one examines literature from 2014-2021. The objectives were to present literature that updates the framework and related topics and increases awareness of the role of climate change in occupational safety and health. In general, there is substantial literature on worker hazards related to ambient temperatures, biological hazards, and extreme weather but less on air pollution, ultraviolet radiation, industrial transitions, and the built environment. There is growing literature on mental health and health equity issues related to climate change, but much more research is needed. The socioeconomic impacts of climate change also require more research. This study illustrates that workers are experiencing increased morbidity and mortality related to climate change. In all areas of climate-related worker risk, including geoengineering, research is needed on the causality and prevalence of hazards, along with surveillance to identify, and interventions for hazard prevention and control.
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Affiliation(s)
- P. A. Schulte
- Advanced Technologies and Laboratories International, Inc, Cincinnati, Ohio
| | - B. L. Jacklitsch
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - A. Bhattacharya
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - H. Chun
- Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Atlanta, Georgia
| | - N. Edwards
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia
| | - K. C. Elliott
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Anchorage, Alaska
| | - M. A. Flynn
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - R. Guerin
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - L. Hodson
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) (retired), Cincinnati, Ohio
| | - J. M. Lincoln
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - K. L. MacMahon
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - S. Pendergrass
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) (retired), Cincinnati, Ohio
| | - J. Siven
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
| | - J. Vietas
- Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio
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Hu LK, Liu YH, Yang K, Chen N, Ma LL, Yan YX. Associations between long-term exposure to ambient fine particulate pollution with the decline of kidney function and hyperuricemia: a longitudinal cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:40507-40518. [PMID: 36609761 DOI: 10.1007/s11356-023-25132-3] [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: 08/25/2022] [Accepted: 12/30/2022] [Indexed: 01/09/2023]
Abstract
Evidence of associations between ambient fine particulate matter (PM2.5) and risks of decline of kidney function and hyperuricemia is limited. We aimed to investigate the associations between long-term exposure to PM2.5 with decline of kidney function and hyperuricemia in China. We conducted a two-stage study based on China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2015. Cox proportional hazard regression models and restricted cubic splines were used to evaluate the associations of PM2.5 with risks of decline of kidney function and hyperuricemia. Latent class trajectory models (LCTM) were used to identify trajectories of PM2.5 from 2011 to 2015 in the sensitivity analysis. A total of 9760 participants were included in baseline analysis, and 5902 participants were in follow-up analysis. PM2.5 was associated with the risks of decline of kidney function [hazard ratio (HR): 2.14; 95% confidence interval (CI): (1.03, 4.44)] and hyperuricemia [HR 1.40 (95% CI: 1.10, 1.79)] in the second quartile group versus the lowest quartile group of PM2.5. We also observed nonlinear relationships between PM2.5 and the risks of the decline of kidney function and hyperuricemia (Pnon-linear < 0.001). In sensitivity analysis, four trajectory groups were identified. "Maintaining a high PM2.5" [odds ratio (OR): 2.20; 95%CI: (1.78, 2.73)] and "moderately high starting PM2.5 then steadily decreased" [OR (95%CI): 5.15 (1.55, 16.13)] were associated with hyperuricemia risk, using "low starting PM2.5 then steadily decreased" trajectory as reference. In conclusion, improved air quality is essential for prevention of decline of kidney function and hyperuricemia.
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Affiliation(s)
- Li-Kun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Yu-Hong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Kun Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Ning Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Lin-Lin Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100069, China.
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, 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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Wang Q, Duoji Z, Feng C, Fei T, Ma H, Wang S, Ciren W, Yang T, Ling H, Ma B, Yu W, Liu H, Zhou J, Zhao X, Jia P, Yang S. Associations and pathways between residential greenness and hyperuricemia among adults in rural and urban China. ENVIRONMENTAL RESEARCH 2022; 215:114406. [PMID: 36152883 DOI: 10.1016/j.envres.2022.114406] [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: 04/24/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Residential greenness may decrease the risk for hyperuricemia in rural areas, but the urban-rural disparities in this association and underlying pathways have not been studied. OBJECTIVES To investigate the associations and potential pathways between residential greenness and hyperuricemia in urban and rural areas. METHODS The baseline survey of the China Multi-Ethnic Cohort (CMEC) was used. Hyperuricemia was defined as serum uric acid (SUA) > 417 μmol/L for men and >357 μmol/L for women. The satellite-based normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) were used to capture residential greenness. A propensity score inverse-probability weighting method was used to assess urban-rural differences in the associations between residential greenness and hyperuricemia, with possible mediation effects of physical activity (PA), body mass index (BMI), PM2.5, and NO2 examined by causal mediation analyses. RESULTS A total of 72,372 participants were included. The increases in the EVI500m and NDVI500m residential greenness were associated with a decreased risk for hyperuricemia and the SUA level in both urban and rural areas. For example, each 0.1-unit increase in EVI500m was associated with a decreased hyperuricemia risk of 7% (OR = 0.93 [0.91, 0.96]) and a decreased SUA level of -1.77 μmol/L [-2.60, -0.93], respectively; such associations were stronger in urban areas for both the risk for hyperuricemia (OR = 0.84 [0.83, 0.86]) and SUA level (-7.18 μmol/L [-7.91, -6.46]). The subgroup analysis showed that the greenness-hyperuricemia/SUA association varied by age, sex, and annual household income. The percentage of the joint mediation effect of PA, BMI, PM2.5, and NO2 on the association between EVI500m and the risk for hyperuricemia was higher in urban (34.92%) than rural areas (15.40%). BMI, PM2.5, and PA showed significantly independently mediation effects for the greenness-hyperuricemia association in both rural and urban areas. CONCLUSIONS Exposure to residential greenness was associated with a decreased risk for hyperuricemia, partially through the pathways of PA, BMI, PM2.5, and NO2, which varied in urban and rural areas.
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Affiliation(s)
- Qinjian Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhuoma Duoji
- School of Medicine, Tibet University, Lhasa, China
| | - Chuanteng Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Institute for Disaster Management and Reconstruction, Sichuan University-The Hongkong Polytechnic University, Chengdu, China
| | - Teng Fei
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
| | - Hua Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Songmei Wang
- School of Public Health, Kunming Medical University, Kunming, China
| | - Wangla Ciren
- Lhasa Chengguan District Center for Disease Control and Prevention, Lhasa, China
| | - Tingting Yang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Hua Ling
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Bangjing Ma
- Qingbaijiang District Center for Disease Control and Prevention, Chengdu, China
| | - Wanqi Yu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Hongyun Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Junmin Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.
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Zeng C, Guo B, Wan Y, Guo Y, Chen G, Duoji Z, Qian W, Danzhen W, Meng Q, Chen L, Wu K, Wang X, Feng S, Jiang M, Xiong H, Zhao X. The role of lipid profile in the relationship between particulate matters and hyperuricemia: A prospective population study. ENVIRONMENTAL RESEARCH 2022; 214:113865. [PMID: 35835168 DOI: 10.1016/j.envres.2022.113865] [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: 03/15/2022] [Revised: 07/03/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
CONTEXT Recent studies in specific population subgroups (e.g., pregnant women) have suggested PM exposure increases the risk of hyperuricemia. However, no studies have examined this in the general population. Furthermore, the underlying mechanism through which PM impacts hyperuricemia risk is poorly understood. OBJECTIVE To assess the association between long-term exposure to PM and risk of hyperuricemia and whether this association is mediated by lipid profile. METHODS We included 5939 participants in Southwest China from the China Multi-Ethnic Cohort (baseline 2018-2019, follow-up 2020-2021). Long-term PM pollutants (PM1, PM2.5, PM10) exposure for each individual was represented by the three-year average PM levels before the baseline survey. Hyperuricemia at follow-up was defined as the serum uric acid above 7.0 mg/dL in men and 6.0 mg/dL in women. Serum lipids were measured at baseline including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG). The association of PM with hyperuricemia was accessed through logistic regression. The potential mediation effects of serum lipids were evaluated through causal mediation analyses. RESULTS A total of 837 participants were newly diagnosed with hyperuricemia. The odds ratios of hyperuricemia associated with an interquartile range (IQR) increase in PM1, PM2.5, and PM10 (IQR: 21.10, 25.78, 30.43 μg m-3) were 1.72 (95% CI: 1.23, 2.39), 2.68 (95% CI: 1.59, 4.49), and 1.81 (95% CI: 1.20, 2.72), respectively. The association between PM2.5, PM1, and PM10 on hyperuricemia was mediated by HDL-C (10%) and LDL-C (3%). CONCLUSION Higher particulate matter exposure was associated with higher hyperuricemia incidence. The decline in HDL-C and rise in LDL-C partially mediated this association. These findings were conducive to scientific research about the underlying mechanism of PM on hyperuricemia.
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Affiliation(s)
- Chunmei Zeng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yang Wan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | | | - Wen Qian
- Chengdu Center for Disease Control & Prevention, China
| | | | - Qiong Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, China
| | - Liling Chen
- Chongqing Municipal Center for Disease Control and Prevention, China
| | - Kunpeng Wu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xing Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shiyu Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Min Jiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hai Xiong
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; Medical School of Tibet University, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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Wu ZD, Yang XK, He YS, Ni J, Wang J, Yin KJ, Huang JX, Chen Y, Feng YT, Wang P, Pan HF. Environmental factors and risk of gout. ENVIRONMENTAL RESEARCH 2022; 212:113377. [PMID: 35500858 DOI: 10.1016/j.envres.2022.113377] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/30/2022] [Accepted: 04/25/2022] [Indexed: 06/14/2023]
Abstract
Gout is a chronic disease with inflammatory arthritis caused by monosodium urate (MSU) crystals deposition, an elevated serum urate level (hyperuricaemia) is the critical factor leading to MSU crystals deposition and promoting the progression of gout. The onset and development of gout is generally the result of multiple factors, such as diet, heredity and environmental factors. Although genetics and diet are thought to play as major factors, a growing body of research evidence has highlighted that environmental factors also play a significant role in the onset and exacerbation of gout. Recent studies have shown that air pollutants such as particulate matter, sulfur dioxide (SO2) and carbon monoxide (CO) may increase the risk of hospitalizations for gout, and that the changes in temperature and humidity may affect uric acid (UA) levels. There is also seasonal trend in gout. It has been demonstrated that environmental factors may induce or accelerate the production and release of pro-inflammatory mediators, causing an unbalance oxidative stress and systemic inflammation, and then participating in the overall process or a certain link of gout. Moreover, several environmental factors have shown the ability to induce the production urate and regulate the innate immune pathways, involving in the pathogenesis of gout. Nevertheless, the role of environmental factors in the etiology of gout remains unclear. In this review, we summarized the recent literatures and aimed to discuss the relationship between environmental factors (such as microclimate, season, ambient/indoor air pollution and extreme weather) and gout. We further discussed the inflammatory mechanisms of environmental factors and gout and the comprehensive effects of environmental factors on gout. We also made a prospect of the management and treatment of gout, with special consideration to environmental factors associated with gout.
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Affiliation(s)
- Zheng-Dong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiao-Ke Yang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Jie Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Kang-Jia Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Ji-Xiang Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Yue Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Ya-Ting Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Peng Wang
- Teaching Center of Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China.
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Cui N, Dong X, Liao W, Xue Y, Liu X, Li X, Hou J, Huo W, Li L, Mao Z, Wang C, Li Y. Association of eating out frequency and other factors with serum uric acid levels and hyperuricemia in Chinese population. Eur J Nutr 2021; 61:243-254. [PMID: 34297194 DOI: 10.1007/s00394-021-02634-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 06/28/2021] [Indexed: 11/24/2022]
Abstract
PURPOSE A significant shift in meal pattern with frequent eating out was closely associated with multiple chronic outcomes, but with limited evidence on hyperuricemia. We aimed to explore the associations between eating out and serum uric acid (SUA) as well as hyperuricemia. METHODS A total of 29,597 participants were recruited from the Henan Rural Cohort Study. A validated food frequency questionnaire (FFQ) was used to collect dietary data, including the frequency of eating out. Linear regression models were used to examine the association of eating-out frequency with SUA and BMI. Logistic regression and restricted cubic spline were performed to assess the association and dose-response relationship between eating-out frequency and hyperuricemia. The mediation effect of BMI between eating out and the risk of hyperuricemia was evaluated. RESULTS Eating out was significantly associated with higher SUA levels in the total population and males (P < 0.001). Multivariate-adjusted odds ratios (ORs) with 95% confidence interval (CIs) of hyperuricemia were 1.26 (1.09, 1.46) for the total population and 1.18 (1.00, 1.40) for males (≥ 7 times/week vs 0 time/week). A non-linear positive dose-response relationship between eating-out frequency and hyperuricemia was observed. Furthermore, BMI played a partial mediating role in the relationship between eating out frequency and hyperuricemia, which explained 30.7% in the total population and 44.8% in males. CONCLUSION Our findings indicated that eating out was associated with increased SUA levels and elevated hyperuricemia risk in rural China, especially in males. Moreover, the relationship was partly mediated by BMI. CLINICAL TRIALS ChiCTR-OOC-15006699 (2015-07-06).
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Affiliation(s)
- Ningning Cui
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Yuan Xue
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Xing Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Linlin Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Dong X, Liu X, Zhang L, Li R, Tu R, Hou J, Mao Z, Huo W, Guo Y, Li S, Chen G, Wang C. Residential greenness associated with lower serum uric acid levels and hyperuricemia prevalence in a large Chinese rural population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 770:145300. [PMID: 33517006 DOI: 10.1016/j.scitotenv.2021.145300] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 01/16/2021] [Accepted: 01/16/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The association between residential greenness and hyperuricemia remains unclear, especially in developing countries. The current study aimed to explore the associations between residential greenness and both serum uric acid (SUA) levels and hyperuricemia in a Chinese rural population and to examine potential pathways of these associations. METHODS In this cross-sectional study, 38,721 rural residents were recruited from the baseline survey of the Henan Rural Cohort study in 2015-2017. Two satellite-derived vegetation indices, i.e., the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI), were used to estimate residential greenness. Air pollution was determined by two proxies: particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) and nitrogen dioxide (NO2). Hyperuricemia was defined as SUA levels of >417 μmol/L and > 357 μmol/L for men and women, respectively. Multivariable-adjusted linear regression and logistic regression models were applied to investigate the associations of greenness with SUA and hyperuricemia, and mediation analyses were used to explore possible mechanisms underlying the associations. RESULTS An interquartile range (IQR) increase in both EVI and NDVI in the 500 m buffer was significantly associated with reductions in SUA levels of -7.23 μmol/L (95% confidence interval (CI): -8.96, -5.50) and -4.38 μmol/L (95% CI: -5.93, -2.83), respectively. The same increases in EVI500-m and NDVI500-m were associated with 13.8% (95% CI: 5.8%, 21.2%) and 13.0% (95% CI: 5.6%, 19.8%) lower hyperuricemia prevalence, respectively. These associations were stronger in older people (age ≥ 65), men or participants with higher averaged monthly income. The associations were partly mediated by physical activity and BMI, while no mediation effect was observed for air pollution. CONCLUSIONS Higher levels of residential greenness were significantly associated with lower SUA levels and hyperuricemia prevalence in the Chinese rural population. BMI and physical activity may play important mediating roles in the associations.
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Affiliation(s)
- Xiaokang Dong
- 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
| | - Lulu Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Runqi Tu
- 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
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, PR China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Kim JH, Yan Q, Uppal K, Cui X, Ling C, Walker DI, Heck JE, von Ehrenstein OS, Jones DP, Ritz B. Metabolomics analysis of maternal serum exposed to high air pollution during pregnancy and risk of autism spectrum disorder in offspring. ENVIRONMENTAL RESEARCH 2021; 196:110823. [PMID: 33548296 PMCID: PMC9059845 DOI: 10.1016/j.envres.2021.110823] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 01/27/2021] [Accepted: 01/27/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Previously, numerous epidemiologic studies reported an association between autism spectrum disorder (ASD) and exposure to air pollution during pregnancy. However, there have been no metabolomics studies investigating the impact of pregnancy pollution exposure to ASD risk in offspring. OBJECTIVES To identify differences in maternal metabolism that may reflect a biological response to exposure to high air pollution in pregnancies of offspring who later did or did not develop ASD. METHODS We obtained stored mid-pregnancy serum from 214 mothers who lived in California's Central Valley and experienced the highest levels of air pollution during early pregnancy. We estimated each woman's average traffic-related air pollution exposure (carbon monoxide, nitric oxides, and particulate matter <2.5 μm) during the first trimester using the California Line Source Dispersion Model, version 4 (CALINE4). By utilizing liquid chromatography-high resolution mass spectrometry, we identified the metabolic profiles of maternal serum for 116 mothers with offspring who later developed ASD and 98 control mothers. Partial least squares discriminant analysis (PLS-DA) was employed to select metabolic features associated with air pollution exposure or autism risk in offspring. We also conducted extensive pathway enrichment analysis to elucidate potential ASD-related changes in the metabolome of pregnant women. RESULTS We extracted 4022 and 4945 metabolic features from maternal serum samples in hydrophilic interaction (HILIC) chromatography (positive ion mode) and C18 (negative ion mode) columns, respectively. After controlling for potential confounders, we identified 167 and 222 discriminative features (HILIC and C18, respectively). Pathway enrichment analysis to discriminate metabolic features associated with ASD risk indicated various metabolic pathway perturbations linked to the tricarboxylic acid (TCA) cycle and mitochondrial function, including carnitine shuttle, amino acid metabolism, bile acid metabolism, and vitamin A metabolism. CONCLUSION Using high resolution metabolomics, we identified several metabolic pathways disturbed in mothers with ASD offspring among women experiencing high exposure to traffic-related air pollution during pregnancy that were associated with mitochondrial dysfunction. These findings provide us with a better understanding of metabolic disturbances involved in the development of ASD under adverse environmental conditions.
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Affiliation(s)
- Ja Hyeong Kim
- Department of Pediatrics, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, 44033, South Korea.
| | - Qi Yan
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA.
| | - Karan Uppal
- Computational Systems Medicine & Metabolomics Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA, 30322, USA.
| | - Xin Cui
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine and Lucile Packard Children's Hospital, Palo Alto, CA, 94304, USA; California Perinatal Quality Care Collaborative, Palo Alto, CA, 94305, USA.
| | - Chenxiao Ling
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA.
| | - Douglas I Walker
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Julia E Heck
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA.
| | - Ondine S von Ehrenstein
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Department of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA.
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, 30322, USA.
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Department of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA; Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
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12
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Yu X, Zhu C, Zhang H, Shen Z, Chen J, Gu Y, Lv S, Zhang D, Wang Y, Ding X, Zhang X. Association between urbanisation and the risk of hyperuricaemia among Chinese adults: a cross-sectional study from the China Health and Nutrition Survey (CHNS). BMJ Open 2021; 11:e044905. [PMID: 33692186 PMCID: PMC7949434 DOI: 10.1136/bmjopen-2020-044905] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 02/04/2021] [Accepted: 02/09/2021] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To explore the association between urbanicity and hyperuricaemia (HUA) and whether urbanicity is an independent risk factor for HUA in Chinese adults. DESIGN Data analysis from a cross-sectional survey. SETTING AND PARTICIPANTS 8579 subjects aged 18 years or older were enrolled in the study from the 2009 wave of the China Health and Nutrition Survey to analyse the association between urbanicity and HUA. We divided them into three categories according to urbanisation index (low, medium and highly urbanised groups). MAIN OUTCOME MEASURES HUA was defined as serum uric acid ≥7 mg/dL in men and ≥6 mg/dL in women. RESULTS The prevalence of HUA in low, medium and highly urbanised groups was 12.2%, 14.6% and 19.8%, respectively. The independent factors influencing serum uric acid included age, gender, hypertension, diabetes, chronic kidney disease, drinking, obesity and community-level urbanisation index (β=0.016, p<0.001). The risk of HUA in the highly urbanised group was significantly higher than that of the low urbanised group (OR 1.771, 95% CI 1.545 to 2.029, p<0.001), even after adjusting for other covariates (OR 1.661, 95% CI 1.246 to 2.212, p=0.001). In a subgroup analysis, we found that age, gender, comorbidity (such as hypertension, diabetes, obesity and chronic kidney disease) and physical activity affected the association between urbanisation and the risk of HUA. CONCLUSIONS Our findings suggest that living in highly urbanised areas is linked with higher risk of HUA independent of cardiometabolic and health-related behavioural risk factors, which have been shown to increase along with urbanisation.
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Affiliation(s)
- Xixi Yu
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Institute of Kidney and Dialysis, Shanghai, China
| | - Cheng Zhu
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Han Zhang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Institute of Kidney and Dialysis, Shanghai, China
| | - Ziyan Shen
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Institute of Kidney and Dialysis, Shanghai, China
| | - Jing Chen
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China
| | - Yulu Gu
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China
| | - Shiqi Lv
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Institute of Kidney and Dialysis, Shanghai, China
| | - Di Zhang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China
| | - Yulin Wang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China
| | - Xiaoqiang Ding
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Institute of Kidney and Dialysis, Shanghai, China
- Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China
| | - Xiaoyan Zhang
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Medical Center of Kidney Disease, Shanghai, China
- Shanghai Institute of Kidney and Dialysis, Shanghai, China
- Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai, China
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Lai K, Long L. Current Status and Future Directions of Chronic Cough in China. Lung 2020; 198:23-29. [PMID: 31912413 DOI: 10.1007/s00408-019-00319-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 12/20/2019] [Indexed: 12/16/2022]
Abstract
Chronic cough is one of the most common complaints for which patients in China seek medical attention. However, there are no nationwide data on the prevalence and socioeconomic burden of chronic cough. Although approximately 50% of Chinese men smoke, the vast majority of patients presenting for evaluation of chronic cough are never smokers. An equal sex distribution and a middle-aged predominance have been observed in the Chinese chronic cough population, despite demonstration of a higher cough reflex sensitivity in females and older patients. The role of air pollution in the distinct age and sex distribution requires further study. In terms of the etiologies of chronic cough in China, cough-variant asthma, upper airway cough syndrome, nonasthmatic eosinophilic bronchitis, and atopic cough are the most common causes, comprising 75.2% to 87.6% of cases across different regions. Chinese Guidelines for Diagnosis and Treatment of Cough were initially published in 2005, and updated in 2009 and 2016. In addition, the China Cough Coalition was established in 2016. Great progress has been made in both cough-related clinical practice and research in recent years, however, there are still challenges ahead. To facilitate optimal management of chronic cough in China, efforts promoting the dissemination and application of published guidelines will be essential, especially in community-based healthcare and in rural regions. As chronic refractory cough has been identified as a huge challenge to clinicians worldwide, continued international cooperation will be essential in optimizing evaluation and management of chronic cough.
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Affiliation(s)
- Kefang Lai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Rd., Guangzhou, 510120, China.
| | - Li Long
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Rd., Guangzhou, 510120, China
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14
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Lai K, Long L, Yi F, Tang J, Chen Z, Chen F, Zhou J, Peng W, Zhang L, Li H, Zhan W, Chen R, Luo W, Chen Q, Chung KF, Zhong N. Age and Sex Distribution of Chinese Chronic Cough Patients and Their Relationship With Capsaicin Cough Sensitivity. ALLERGY, ASTHMA & IMMUNOLOGY RESEARCH 2019; 11:871-884. [PMID: 31552721 PMCID: PMC6761072 DOI: 10.4168/aair.2019.11.6.871] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/26/2019] [Accepted: 07/29/2019] [Indexed: 11/20/2022]
Abstract
PURPOSE An older female predominance has been reported among chronic cough patients in Western countries, which is considered to be associated with a higher cough sensitivity in females. However, the characteristics of Chinese chronic cough patients remain unclear. This study aimed to explore the age and sex distribution as well as their relationship with cough reflex sensitivity to capsaicin in Chinese chronic cough patients. METHODS We analyzed the demographic features of 1,882 consecutive chronic cough patients who attended our cough clinic in Guangzhou, China. Cough sensitivity to capsaicin, which was defined as the lowest concentration of capsaicin causing 5 coughs or more (C5), was measured in 539 of the 1,882 patients and 68 healthy volunteers. RESULTS The mean age of the patients was 43.0 ± 13.7 years and patients aged <50 years accounted for more than two-thirds of the study population. Around 87% of the patients were never-smokers. The proportion of females (51.5%) was almost equal to that of males (48.5%). The pattern of the age and sex distribution was consistently reflected within most common causes of chronic cough, while a female predominance was shown in patients with cough-variant asthma and patients aged ≥50 years. Female patients had higher cough sensitivity to capsaicin than male patients (log C5: 1.58 ± 0.84 vs. 2.04 ± 0.84 μmol/L, P = 0.001), and patients aged ≥50 years had higher cough sensitivity to capsaicin than patients aged <50 years. CONCLUSIONS In China, patients with chronic cough have a roughly equal sex distribution and a middle-aged predominance, irrespective of a higher cough sensitivity to capsaicin in females and older patients. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02591550.
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Affiliation(s)
- Kefang Lai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Li Long
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fang Yi
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiaman Tang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhe Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fagui Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianmeng Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wen Peng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liting Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hu Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenzhi Zhan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ruchong Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei Luo
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiaoli Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London, Royal Brompton and Harefield Foundation NHS Trust, London, UK
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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