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Shi C, Lin X, Huang T, Zhang K, Liu Y, Tian T, Wang P, Chen S, Guo T, Li Z, Liang B, Qin P, Zhang W, Hao Y. The association between wind speed and the risk of injuries among preschool children: New insight from a sentinel-surveillance-based study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159005. [PMID: 36162582 DOI: 10.1016/j.scitotenv.2022.159005] [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: 06/20/2022] [Revised: 09/09/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Injuries among preschool children are an important public health concern worldwide. Significant gaps remain in understanding the potential impact of wind speed on injuries among preschoolers. We aimed to clarify the association and its variation across subgroups to capture the vulnerability features. METHODS Using a case-crossover design and conditional logistic regression model, we compared the exposure to wind speed right before the injury events (case period) with that of control periods to determine the excess rate (ER) of injury on each of 0-3 lag days in Guangzhou, 2016-2020. Results were also stratified by sociodemographic characteristics of patients, basic characteristics of injury events, and clinical features of injuries to identify the most vulnerable subgroups of preschoolers. RESULTS Higher wind speed was significantly associated with an increased risk of injuries among preschoolers on lag 0, reaching an ER of 2.93 % (95 % confidence interval [CI] = 0.87, 5.03), but not on other lag days. The results of the stratified analyses showed that children under 3-year-old (3.41 %; 95 % CI = 0.36, 6.55), boys (3.66 %; 95 % CI = 1.04, 6.35), and non-locally registered children (3.65; 95 % CI = 0.02, 7.40) were more prone to wind-related injuries. Falls (2.67 %; 95 % CI = 0.11, 5.30) were the main cause of wind-related injuries, and taking transportation was the main activity when injuries occurred (13.16 %; 95 % CI = 4.45, 22.60). Additionally, injuries involving buildings/grounds/obstacles (4.69 %; 95 % CI = 1.66, 7.81) and the occurrence of sprain/strain (7.60 %; 95 % CI = 0.64, 15.04) showed a positive association with wind speed. CONCLUSIONS Higher wind speed was associated with a significantly elevated rate of injuries among preschoolers without delayed effects, where children under 3-year-old, boys, and non-locally registered subgroups were more susceptible to wind-related injuries. This study may provide new insights for refining the prevention measures against wind-related injuries among preschoolers.
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Affiliation(s)
- Congxing Shi
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xiao Lin
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tingyuan Huang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Kai Zhang
- Department of Environmental Health Sciences, University at Albany, the State University of New York, Rensselaer, NY, USA
| | - Yanan Liu
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tian Tian
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Pengyu Wang
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shimin Chen
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Tong Guo
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Zhiqiang Li
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Boheng Liang
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Pengzhe Qin
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China.
| | - Wangjian Zhang
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| | - Yuantao Hao
- Department of Medical Statistics, Center for Health Information Research, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, 100191, Beijing, China.
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Yang JH, Jeong JA, Kweon SS, Shin MH. Association Between Regional Levels of Particulate Matter and Recurrent Falls in Korea. J Korean Med Sci 2023; 38:e19. [PMID: 36625175 PMCID: PMC9829513 DOI: 10.3346/jkms.2023.38.e19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/11/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND We investigated the extent of regional disparity of recurrent falls. In addition, we examined the association between particulate matter (PM) and recurrent falls and the association between regional disparity of recurrent falls and regional PM levels. METHOD We used data from Korea Community Health Survey 2019 that included 204,395 participants from 237 municipal districts. The independent variables were the annual average PM10 and PM2.5 concentrations measured at the air quality measuring stations in each municipal district. The outcome variable was the experience of falls more than twice in the previous year. Multilevel analyses were conducted to estimate the association between regional PM10 and PM2.5 levels and recurrent falls. RESULTS The regional variation was greater in the young people than that in the older people. PM10 and PM2.5 levels were positively associated with recurrent falls after adjusting for individual and regional covariates. These associations were more evident in the older group than in the young. PM10 and PM2.5 explained 2.82% and 3.33% of the remaining regional variance in models with individual and regional confounders, respectively. These proportions were greater in the older group (PM10 and PM2.5; 4.73% and 5.27%) than those in the younger age group (PM10 and PM2.5, 0.80% and 1.39%). CONCLUSION PM concentration was associated with recurrent falls even after accounting for other regional variables and individual-level differences. Moreover, there were regional differences in the occurrence of falls, and the PM concentration explained a part of the gap, but the gap was explained more in the older group than in the young.
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Affiliation(s)
- Jung-Ho Yang
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - Ji-An Jeong
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea.
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Tian T, Lin X, Huang T, Zhang K, Shi C, Wang P, Chen S, Guo T, Li Z, Qin P, Liang B, Zhang W, Hao Y. The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design. Front Public Health 2023; 11:1117948. [PMID: 36935708 PMCID: PMC10018157 DOI: 10.3389/fpubh.2023.1117948] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/09/2023] [Indexed: 03/06/2023] Open
Abstract
Background Injuries during work are often exogenous and can be easily influenced by environmental factors, especially weather conditions. Precipitation, a crucial weather factor, has been linked to unintentional injuries, yet evidence of its effect on work-related injuries is limited. Therefore, we aimed to clarify the impact of precipitation on injuries during work as well as its variation across numerous vulnerability features. Methods Records on the work-related injury during 2016-2020 were obtained from four sentinel hospitals in Guangzhou, China, and were matched with the daily weather data during the same period. We applied a time-stratified case-crossover design followed by a conditional logistic regression to evaluate the association between precipitation and work-related injuries. Covariates included wind speed, sunlight, temperature, SO 2, NO 2, and PM 2.5. Results were also stratified by multiple factors to identify the most vulnerable subgroups. Results Daily precipitation was a positive predictor of work-related injuries, with each 10 mm increase in precipitation being associated with an increase of 1.57% in the rate of injuries on the same day and 1.47-1.14% increase of injuries on subsequent 3 days. The results revealed that precipitation had a higher effect on work-related injuries in winter (4.92%; 95%CI: 1.77-8.17%). The elderly (2.07%; 95%CI: 0.64-3.51%), male (1.81%; 95%CI: 0.96-2.66%) workers or those with lower educational levels (2.58%; 95%CI: 1.59-3.54%) were more likely to suffer from injuries on rainy days. There was a higher risk for work-related injuries caused by falls (2.63%; 95%CI: 0.78-4.52%) or the use of glass products (1.75%; 95%CI: 0.49-3.02%) on rainy days. Conclusions Precipitation was a prominent risk factor for work-related injury, and its adverse effect might endure for 3 days. Certain sub-groups of workers were more vulnerable to injuries in the rain.
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Affiliation(s)
- Tian Tian
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiao Lin
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tingyuan Huang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Kai Zhang
- Department of Environmental Health Sciences, University at Albany, The State University of New York, Rensselaer, NY, United States
| | - Congxing Shi
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Pengyu Wang
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shimin Chen
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tong Guo
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhiqiang Li
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Pengzhe Qin
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Boheng Liang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- *Correspondence: Boheng Liang
| | - Wangjian Zhang
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Wangjian Zhang
| | - Yuantao Hao
- Guangdong Key Laboratory of Medicine, Department of Medical Statistics, Center for Health Information Research, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Yuantao Hao
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Chan TC, Pai CW, Wu CC, Hsu JC, Chen RJ, Chiu WT, Lam C. Association of Air Pollution and Weather Factors with Traffic Injury Severity: A Study in Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127442. [PMID: 35742691 PMCID: PMC9223547 DOI: 10.3390/ijerph19127442] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 02/01/2023]
Abstract
Exposure to air pollutants may elevate the injury severity scores (ISSs) for road traffic injuries (RTIs). This multicenter cross-sectional study aimed to investigate the associations between air pollution, weather conditions, and RTI severity. This retrospective study was performed in Taiwan in 2018. The location of each road traffic accident (RTA) was used to determine the nearest air quality monitoring and weather station, and the time of each RTA was matched to the corresponding hourly air pollutant concentration and weather factors. Five multiple logistic regression models were used to compute the risk of sustaining severe injury (ISS ≥ 9). Of the 14,973 patients with RTIs, 2853 sustained severe injury. Moderate or unhealthy air quality index, higher exposure to particulate matter ≤2.5 μm in diameter, bicyclists or pedestrians, greater road width, nighttime, and higher temperature and relative humidity were significant risk factors for severe injury. Exposure to nitrogen oxide and ozone did not increase the risk. Auto occupants and scene-to-hospital time were the protective factors. Sensitivity analyses showed consistent results between air pollutants and the risk of severe injury. Poor air quality and hot and humid weather conditions were associated with severe RTIs. Active commuters were at higher risk of sustaining severe RTI.
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Affiliation(s)
- Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei 11529, Taiwan;
- Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
| | - Chih-Wei Pai
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan; (C.-W.P.); (W.-T.C.)
| | - Chia-Chieh Wu
- Emergency Department, Wan Fang Hospital, Taipei Medical University, Taipei 11696, Taiwan;
- Department of Emergency, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Jason C. Hsu
- International PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei 10675, Taiwan;
- Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei 10675, Taiwan
- Research Center of Data Science on Healthcare Industry, College of Management, Taipei Medical University, Taipei 10675, Taiwan
| | - Ray-Jade Chen
- Division of General Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei 11031, Taiwan;
- Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 10675, Taiwan
| | - Wen-Ta Chiu
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan; (C.-W.P.); (W.-T.C.)
- AHMC Health System, Alhambra, CA 91801, USA
| | - Carlos Lam
- Emergency Department, Wan Fang Hospital, Taipei Medical University, Taipei 11696, Taiwan;
- Department of Emergency, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Correspondence:
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Dimitriadis C, Gao CX, Ikin JF, Wolfe R, Gabbe BJ, Sim MR, Abramson MJ, Guo Y. Exposure to mine fire related particulate matter and mortality: A time series analysis from the Hazelwood Health Study. CHEMOSPHERE 2021; 285:131351. [PMID: 34329135 DOI: 10.1016/j.chemosphere.2021.131351] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/23/2021] [Accepted: 06/26/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND In 2014, the Morwell brown coal mine, located in the Latrobe Valley of South eastern Australia, caught fire covering nearby areas in plumes of smoke over a 6-week period. AIMS To investigate the association between exposure to mine fire related air pollution and the risk of mortality. METHODS Time series models were used to evaluate the risk of mortality during the first 30 days of the mine fire, when the smoke was most intense, and in the following six months. Associations were also investigated between mine fire related PM2.5 and mortality. RESULTS During the 30-day mine fire period, there was an increased risk of death from injury in the most exposed town of Morwell, however no increased risk was observed for all-cause, cardiovascular or respiratory mortality. In the broader Latrobe Valley, males and residents aged 80 and above were at greatest risk of death from injury during the mine fire. In Morwell, during the six months after the mine fire there was an increased risk of all-cause mortality and death from Ischaemic Heart Disease (IHD). Males and residents aged 80 and above in the broader Latrobe Valley, were at increased risk of death from IHD six months after the fire. CONCLUSIONS Coal mine fire exposure was associated with an increase in injury deaths during the mine fire and cardiovascular deaths in the six months after the fire. These findings assist in identifying at risk groups, and improving targeted health advice for future air pollution exposures in the community.
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Affiliation(s)
- Christina Dimitriadis
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Caroline X Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Centre for Youth Mental Health (Orygen), University of Melbourne, Parkville, VIC, Australia
| | - Jillian F Ikin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Belinda J Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Malcolm R Sim
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Michael J Abramson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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Szyszkowicz M. The Air Quality Health Index and all emergency department visits. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:24357-24361. [PMID: 31230243 DOI: 10.1007/s11356-019-05741-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 06/11/2019] [Indexed: 05/26/2023]
Abstract
Through a variety of media formats, the Air Quality Health Index (AQHI) has served as a valuable communication tool for the general Canadian population for several years. This index, calculated and communicated to the public on an hourly basis, is designed to provide important information on the impact of air quality on health. This presentation outlines the association between AQHI values and, for the first time, all-cause emergency department (ED) visits (over one million diagnosed ED visits). It is assumed that a higher AQHI value, reflecting increased health risk, will encourage people to take steps to reduce their exposure, by limiting the duration and intensity of outdoor activity. The case-crossover methodology was used to assess the associations between the considered exposure and ED visits. The results, the estimated odds ratios, are presented as non-linear concentration-response functions. We argue that air health effects, measured as the total number of all-cause ED visits, are related to the values of the AQHI. We postulate that there are differences in this association between males and females, possibly due to gender-specific behavior and/or health conditions.
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Affiliation(s)
- Mieczysław Szyszkowicz
- Population Studies Division, Health Canada, 101 Tunney's Pasture Driveway, Ottawa, ON, K1A 0K9, Canada.
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Bae S, Kwon HJ. Current State of Research on the Risk of Morbidity and Mortality Associated with Air Pollution in Korea. Yonsei Med J 2019; 60:243-256. [PMID: 30799587 PMCID: PMC6391524 DOI: 10.3349/ymj.2019.60.3.243] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Indexed: 12/13/2022] Open
Abstract
PURPOSE The effects of air pollution on health can vary regionally. Our goal was to comprehensively review previous epidemiological studies on air pollution and health conducted in Korea to identify future areas of potential study. MATERIALS AND METHODS We systematically searched all published epidemiologic studies examining the association between air pollution and occurrence of death, diseases, or symptoms in Korea. After classifying health outcomes into mortality, morbidity, and health impact, we summarized the relationship between individual air pollutants and health outcomes. RESULTS We analyzed a total of 27 studies that provided 104 estimates of the quantitative association between risk of mortality and exposure to air pollutants, including particulate matter with aerodynamic diameter less than 10 μm, particulate matter with aerodynamic diameter less than 2.5 μm, sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide in Korea between January 1999 and July 2018. Regarding the association with morbidity, there were 38 studies, with 98 estimates, conducted during the same period. Most studies examined the short-term effects of air pollution using a time series or case-crossover study design; only three cohort studies that examined long-term effects were found. There were four health impact studies that calculated the attributable number of deaths or disability-adjusted life years due to air pollution. CONCLUSION There have been many epidemiologic studies in Korea regarding air pollution and health. However, the present review shows that additional studies, especially cohort and experimental studies, are needed to provide more robust and accurate evidence that can be used to promote evidence-based policymaking.
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Affiliation(s)
- Sanghyuk Bae
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ho Jang Kwon
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea.
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Liu R, Zeng J, Jiang X, Chen J, Gao X, Zhang L, Li T. The relationship between airborne fine particle matter and emergency ambulance dispatches in a southwestern city in Chengdu, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 229:661-667. [PMID: 28697471 DOI: 10.1016/j.envpol.2017.06.098] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 06/27/2017] [Accepted: 06/28/2017] [Indexed: 06/07/2023]
Abstract
High levels of fine particulate matter (PM2.5) are known to cause adverse effects to human health. The goal of this study was to estimate the acute health effects of short-term exposure to ambient PM2.5 by analyzing cause-specific emergency ambulance dispatches as the endpoint in Chengdu, a city in Sichuan Province in southwest China. The ambient PM2.5 concentration of Chengdu reached 63 μg/m3 in 2015. Data related to the causes of specific emergency ambulance dispatches, air pollution, and meteorological conditions were collected from 2013 to 2015 (1095 days). A generalized additive model (GAM) was constructed to control the confounding conditions and to estimate the effects of PM2.5 on human health conditions. Emergency ambulance dispatches for all causes with (RR for lag0 = 1.0010, 95%CI: 1.0002, 1.0019) or without injuries (RR for lag0 = 1.0012, 95%CI: 1.0002, 1.0022), respiratory diseases (RR for lag0 = 1.0051, 95%CI: 1.0012, 1.0089), and cardiovascular diseases (RR for lag0 = 1.0041, 95%CI: 1.0009, 1.0074) were associated with ambient PM2.5 concentrations in Chengdu. In addition, the effects of PM2.5 were not confounded by ozone.
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Affiliation(s)
- Ruicong Liu
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Jie Zeng
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Xianyan Jiang
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Jianyu Chen
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China
| | - Xufang Gao
- Chengdu Center for Disease Control and Prevention, No. 4, Longxiang Road, Wuhou District, Chengdu 610041, China
| | - Li Zhang
- Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China.
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, South Panjiayuan, Chaoyang District, Beijing 100021, China.
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Liu S, Ganduglia CM, Li X, Delclos GL, Franzini L, Zhang K. Fine particulate matter components and emergency department visits among a privately insured population in Greater Houston. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 566-567:521-527. [PMID: 27235902 DOI: 10.1016/j.scitotenv.2016.05.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 04/15/2016] [Accepted: 05/05/2016] [Indexed: 06/05/2023]
Abstract
Although adverse health effects of PM2.5 (particulate matter with aerodynamic diameter less than 2.5μm) mass have been extensively studied, it remains unclear regarding which PM2.5 components are most harmful. No studies have reported the associations between PM2.5 components and adverse health effects among a privately insured population. In our study, we estimated the short-term associations between exposure to PM2.5 components and emergency department (ED) visits for all-cause and cause-specific diseases in Greater Houston, Texas, during 2008-2013 using ED visit data extracted from a private insurance company (Blue Cross Blue Shield Texas [BCBSTX]). A total of 526,453 ED visits were included in our assessment, with an average of 236 (±63) visits per day. We selected 20 PM2.5 components from the U.S. Environmental Protection Agency's Chemical Speciation Network site located in Houston, and then applied Poisson regression models to assess the previously mentioned associations. Interquartile range increases in bromine (0.003μg/m(3)), potassium (0.048μg/m(3)), sodium ion (0.306μg/m(3)), and sulfate (1.648μg/m(3)) were statistically significantly associated with the increased risks in total ED of 0.71% (95% confidence interval (CI): 0.06, 1.37%), 0.71% (95% CI: 0.21, 1.22%), 1.28% (95% CI: 0.34, 2.24%), and 1.22% (95% CI: 0.23, 2.23%), respectively. Seasonal analysis suggested strongest associations occurred during the warm season. Our findings suggest that a privately insured population, presumably healthier than the general population, may be still at risk of adverse health effects due to exposure to ambient PM2.5 components.
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Affiliation(s)
- Suyang Liu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, TX 77030, USA
| | - Cecilia M Ganduglia
- Department of Management, Policy and Community, School of Public Health, University of Texas Health Science Center at Houston, TX 77030, USA
| | - Xiao Li
- Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, TX, USA 77030
| | - George L Delclos
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, TX 77030, USA
| | - Luisa Franzini
- Department of Management, Policy and Community, School of Public Health, University of Texas Health Science Center at Houston, TX 77030, USA; Department of Health Services Administration, School of Public Health, University of Maryland, College Park, MD 20742, USA
| | - Kai Zhang
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, TX 77030, USA; Southwest Center for Occupational and Environmental Health, School of Public Health, University of Texas Health Science Center at Houston, TX 77030, USA.
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