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Kim S, Won S, Yi Y. The Risk of the Aggravation of Diabetic Foot According to Air Quality Factors in the Republic of Korea: A Nationwide Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:775. [PMID: 38929021 PMCID: PMC11203510 DOI: 10.3390/ijerph21060775] [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] [Received: 04/04/2024] [Revised: 05/23/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024]
Abstract
This study aims to examine the association between the occurrence of diabetic foot and air quality (SO2, CO, NO2, O3). Open data were collected to conduct a big data study. Patient information was gathered from the National Health Insurance Service, and the National Institute of Environmental Science's air quality data were used. A total study population of 347,543 cases were reviewed (case = 13,353, control = 334,190). The lag period from air quality changes to the actual amputation operation was calculated for each factor. The frequency of diabetic foot amputation in each region was identified and analyzed using a distributed lag non-linear model. Gangwon-do showed the highest relative risks (RRs) for SO2 and CO, while Chungcheongnam-do exhibited the highest RR for NO2. Jeju had the highest RR for O3. Regions like Incheon, Busan, and the capital region also showed significant risk increases. These findings emphasize the importance of tailored air quality management to address diabetic foot complications effectively.
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Affiliation(s)
- Saintpee Kim
- Department of Orthopedic Surgery, Gangbuk Etteum Hospital, Seoul 01170, Republic of Korea;
| | - Sungho Won
- RexSoft Corps, Seoul 08826, Republic of Korea;
- Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea
| | - Young Yi
- Department of Orthopedic Surgery Foot and Ankle Service, Inje University Paik Central Hospital, Seoul 04551, Republic of Korea
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Ye J, Li J, Li L, Zhang S, Chen J, Zhu D, Zhang C, Xie B, Zhang B, Hou K. Trends in global ambient fine particulate matter pollution and diabetes mortality rates attributable to it in the 1990-2019: 30 years systematic analysis of global burden of disease. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168358. [PMID: 37951257 DOI: 10.1016/j.scitotenv.2023.168358] [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: 08/18/2023] [Revised: 10/16/2023] [Accepted: 11/03/2023] [Indexed: 11/13/2023]
Abstract
AIM To analyze the trends in ambient fine particulate matter pollution (PM2.5) and the age-standardized mortality rate (ASMR) of diabetes attributable to it from 1990 to 2019 by region, country, and socio-economic development status. METHODS The main data, including the summary exposure value (SEV) of ambient PM2.5 and the ASMR of diabetes due to ambient PM2.5, was collected from the Global Burden of Disease 2019 database. The socio-demographic index (SDI) was employed for assessing a particular region or country's degree of socio-economic development. Joinpoint regression analysis was used to assess the changes of ambient PM2.5 and ASMR of diabetes attributable to it. RESULTS Globally, the SEV of ambient PM2.5 increased from 15.65 μg/m3 in 1990 to 26.22 μg/m3 in 2019, with an annual average percent change (AAPC) of 1.788 (95 % CI 1.687-1.889) μg/m3. The ASMR of diabetes attributable to ambient PM2.5 increased from 1.57 per 100,000 population in 1990 to 2.47 per 100.000 population in 2019 (AAPC = 1.569 [95 % CI 1.42-1.718]). Most regions and countries had an increase of SEV of ambient PM2.5 and ASMR of diabetes attributable to ambient PM2.5. The largest increase of SEV of ambient PM2.5 was observed in South Asia (AAPC = 3.556 [95 % CI 3.329-3.875]), while the largest increase of ASMR of diabetes was in Central Asia (AAPC = 5.170 [95%CI 4.696-5.647]). Moreover, the increase of SEV of ambient PM2.5 and ASMR of diabetes attributable to it were positively associated with SDI in low SDI countries (SDI < 0.46), whereas the opposite result was observed when SDI ≥ 0.46. CONCLUSION From 1990 to 2019, the population's exposure to ambient PM2.5 and ASMR of diabetes attributable to it increased generally, especially in low-middle SDI regions. Ambient PM2.5 remains a threat to global health. Greater investment in ambient PM2.5 and the mortality attributable to it are needed.
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Affiliation(s)
- Junjun Ye
- Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China; Shantou University Medical College, Shantou, Guangdong, China
| | - Jilin Li
- Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
| | - Liping Li
- School of Public Health, Shantou University, Shantou 515041, China
| | - Shuo Zhang
- Shantou University Medical College, Shantou, Guangdong, China; School of Public Health, Shantou University, Shantou 515041, China
| | - Jingxian Chen
- Shantou University Medical College, Shantou, Guangdong, China; School of Public Health, Shantou University, Shantou 515041, China
| | - Dan Zhu
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China
| | - Chuanyan Zhang
- Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China
| | - Bin Xie
- Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
| | - Bangzhou Zhang
- School of Public Health, Shantou University, Shantou 515041, China; Institute for Microbial Ecology, School of Medicine, Xiamen University, Xiamen 361102, China.
| | - Kaijian Hou
- School of Public Health, Shantou University, Shantou 515041, China; Department of Endocrine and Metabolic Diseases, Longhu Hospital, Shantou, China.
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Jiang W, Chen H, Li H, Zhou Y, Xie M, Zhou C, Yang L. The Short-Term Effects and Burden of Ambient Air Pollution on Hospitalization for Type 2 Diabetes: Time-Stratified Case-Crossover Evidence From Sichuan, China. GEOHEALTH 2023; 7:e2023GH000846. [PMID: 38023385 PMCID: PMC10680437 DOI: 10.1029/2023gh000846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/22/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023]
Abstract
Type 2 diabetes mellitus (T2DM), a complicated metabolic disease, might be developed or exacerbated by air pollution, resulting in economic and health burden to patients. So far, limited studies have estimated associations between short-term exposure to air pollution and disease burden of T2DM in China. Hence, we aimed to estimate the associations and burden of ambient air pollutants (NO2, PM10, PM2.5, SO2, and CO) on hospital admissions (HAs) for T2DM using a time-stratified case-crossover design. Data on HAs for T2DM during 2017-2019 were collected from hospital electronic health records in nine cities in Sichuan Province using conditional poisson regression. Totally, 92,381 T2DM hospitalizations were recorded. There were significant short-term effects of NO2, PM10, PM2.5, SO2 and CO on HAs for T2DM. A 10 μg/m3 increment of NO2, PM10, PM2.5, SO2 and CO as linked with a 3.39% (95% CI: 2.26%, 4.54%), 0.33% (95% CI: 0.04%, 0.62%), 0.76% (95% CI: 0.35%, 1.16%), 12.68% (95% CI: 8.14%, 17.42%) and 79.00% (95% CI: 39.81%, 129.18%) increase in HAs for T2DM at lag 6. Stratified analyses modified by age, sex, and season showed old (≥65 years) and female patients linked with higher impacts. Using WHO's air quality guidelines of NO2, PM10, PM2.5, and CO as the reference, the attributable number of T2DM HAs exceeding these pollutants exposures were 786, 323, 793, and 2,127 during 2017-2019. Besides, the total medical costs of 25.83, 10.54, 30.74, and 67.78 million China Yuan were attributed to NO2, PM10, PM2.5, and CO. In conclusion, short-term exposures to air pollutants were associated with higher risks of HAs for T2DM.
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Affiliation(s)
- Wanyanhan Jiang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Han Chen
- Sichuan Wanhao Consulting Co., LtdChengduSichuanChina
| | - Hongwei Li
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Yuelin Zhou
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Mengxue Xie
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Chengchao Zhou
- Centre for Health Management and Policy ResearchSchool of Public HealthCollege of MedicineShandong UniversityJinanChina
| | - Lian Yang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
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Yin P, Luo H, Gao Y, Liu W, Shi S, Li X, Meng X, Kan H, Zhou M, Li G, Chen R. Criteria air pollutants and diabetes mortality classified by different subtypes and complications: A nationwide, case-crossover study. JOURNAL OF HAZARDOUS MATERIALS 2023; 460:132412. [PMID: 37696209 DOI: 10.1016/j.jhazmat.2023.132412] [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: 06/14/2023] [Revised: 08/09/2023] [Accepted: 08/24/2023] [Indexed: 09/13/2023]
Abstract
The associations between air pollution and diabetes mortality of different subtypes and complications were largely unclear. We performed an individual-level, time-stratified case-crossover study among over 0.9 million diabetes deaths from all administrative regions of Chinese mainland during 2013-2019. Daily concentrations of fine particles (PM2.5), coarse particles (PM2.5-10), nitrogen dioxide (NO2) and ozone (O3) were obtained for each decedent using high-resolution prediction models. Conditional logistic regression models were utilized to analyze the data. Each interquartile range increment in PM2.5, PM2.5-10, NO2 and O3 concentrations on lag 0-2 d increased the risks of overall diabetes mortality by 2.81 %, 1.92 %, 3.96 % and 2.15 %, respectively. Type 2 diabetes had stronger associations with air pollution than type 1 diabetes. Air pollutants were associated with diabetic ketoacidosis and diabetic nephropathy, but not other complications. The exposure-response curves were approximately linear with a plateau at higher concentrations of PM2.5, PM2.5-10, and NO2, while the associations for O3 appear to be statistically significant beyond 60 μg/m3. This nationwide study reinforces the evidence of higher risks of acute diabetic events following short-term air pollution exposure. We identified differential effects of air pollutants on various subtypes and complications of diabetes, which require further mechanistic investigations.
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Affiliation(s)
- Peng Yin
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Wei Liu
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xinyue Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Maigeng Zhou
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guanglin Li
- Chinese Preventive Medicine Association, Beijing, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
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Luo H, Liu C, Chen X, Lei J, Zhu Y, Zhou L, Gao Y, Meng X, Kan H, Xuan J, Chen R. Ambient air pollution and hospitalization for type 2 diabetes in China: A nationwide, individual-level case-crossover study. ENVIRONMENTAL RESEARCH 2023; 216:114596. [PMID: 36272593 DOI: 10.1016/j.envres.2022.114596] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/09/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
Scarce evidence is available on the short-term association between air pollution and type 2 diabetes (T2D). We aimed to evaluate the associations between short-term exposure to six criteria air pollutants and hospitalization for T2D based on a national registry. We conducted an individual-level, time-stratified case-crossover study among inpatients with a primary diagnosis of T2D from 153 hospitals across 20 provincial regions in China (2013-2021). Daily concentrations of fine particulate matter (PM2.5), inhalable particle (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO), and ozone were collected from the nearest monitoring stations. T2D patients were separated into those admission for T2D with and without complications. Distributed lag non-linear models combined with conditional logistic regressions were used to estimate the associations. A total of 88,904 patients were hospitalized for T2D. Short-term exposures to all six air pollutants above except for ozone were significantly associated with the risk of hospitalization for T2D and both subclasses. An interquartile range increase in the concentrations of PM2.5, PM10, NO2, SO2, and CO at lag 0-2 d was associated with higher hospitalization risk of T2D by 1.71% (95%CI: 0.56%, 2.87%), 2.08% (0.88%, 3.29%), 4.85% (3.29%, 6.44%), 2.44% (1.22%, 3.67%) and 2.55% (1.24%, 3.88%), respectively. The associations of T2D hospitalizations were stronger in cold season than in warm season. Air pollutants had more acute and stronger associations with T2D with complications. The exposure-response relationship curves showed no thresholds, and the slopes were larger for T2D with complications. This nationwide individual-level, case-crossover study provides the first comprehensive evidence that short-term exposure to multiple criteria air pollutants may increase the risk of hospitalizations for T2D, especially for T2D with complications.
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Affiliation(s)
- Huihuan Luo
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Cong Liu
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xiyin Chen
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jian Lei
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yixiang Zhu
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Lu Zhou
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Ya Gao
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xia Meng
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Jianwei Xuan
- Health Economic Research Institute, School of Pharmacy, Sun Yat-Shen University, GuangZhou, 510275, China.
| | - Renjie Chen
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
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Wu Y, Zhang S, Qian SE, Cai M, Li H, Wang C, Zou H, Chen L, Vaughn MG, McMillin SE, Lin H. Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort. BMC Med 2022; 20:375. [PMID: 36310158 PMCID: PMC9620670 DOI: 10.1186/s12916-022-02573-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Though the association between air pollution and incident type 2 diabetes (T2D) has been well documented, evidence on the association with development of subsequent diabetes complications and post-diabetes mortality is scarce. We investigate whether air pollution is associated with different progressions and outcomes of T2D. METHODS Based on the UK Biobank, 398,993 participants free of diabetes and diabetes-related events at recruitment were included in this analysis. Exposures to particulate matter with a diameter ≤ 10 μm (PM10), PM2.5, nitrogen oxides (NOx), and NO2 for each transition stage were estimated at each participant's residential addresses using data from the UK's Department for Environment, Food and Rural Affairs. The outcomes were incident T2D, diabetes complications (diabetic kidney disease, diabetic eye disease, diabetic neuropathy disease, peripheral vascular disease, cardiovascular events, and metabolic events), all-cause mortality, and cause-specific mortality. Multi-state model was used to analyze the impact of air pollution on different progressions of T2D. Cumulative transition probabilities of different stages of T2D under different air pollution levels were estimated. RESULTS During the 12-year follow-up, 13,393 incident T2D patients were identified, of whom, 3791 developed diabetes complications and 1335 died. We observed that air pollution was associated with different progression stages of T2D with different magnitudes. In a multivariate model, the hazard ratios [95% confidence interval (CI)] per interquartile range elevation in PM2.5 were 1.63 (1.59, 1.67) and 1.08 (1.03, 1.13) for transitions from healthy to T2D and from T2D to complications, and 1.50 (1.47, 1.53), 1.49 (1.36, 1.64), and 1.54 (1.35, 1.76) for mortality risk from baseline, T2D, and diabetes complications, respectively. Generally, we observed stronger estimates of four air pollutants on transition from baseline to incident T2D than those on other transitions. Moreover, we found significant associations between four air pollutants and mortality risk due to cancer and cardiovascular diseases from T2D or diabetes complications. The cumulative transition probability was generally higher among those with higher levels of air pollution exposure. CONCLUSIONS This study indicates that ambient air pollution exposure may contribute to increased risk of incidence and progressions of T2D, but to diverse extents for different progressions.
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Affiliation(s)
- Yinglin Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Samantha E Qian
- College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Haitao Li
- Department of Social Medicine and Health Service Management, Health Science Center, Shenzhen University, Shenzhen, 518060, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Hongtao Zou
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - 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
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Cervantes-Martínez K, Stern D, Zamora-Muñoz JS, López-Ridaura R, Texcalac-Sangrador JL, Cortés-Valencia A, Acosta-Montes JO, Lajous M, Riojas-Rodríguez H. Air pollution exposure and incidence of type 2 diabetes in women: A prospective analysis from the Mexican Teachers' Cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151833. [PMID: 34813806 DOI: 10.1016/j.scitotenv.2021.151833] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/16/2021] [Accepted: 11/16/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Air pollution is a risk factor for type 2 diabetes (T2D). However, scarse longitudinal studies have evaluated this association in low- and middle-income countries, where 80% of the worldwide cases of T2D occur. OBJECTIVE Our aim was to estimate the association between PM2.5 and NO2 exposure and incident T2D, in the Mexican Teachers' Cohort (MTC). METHODS We selected a subsample of female teachers from the MTC from Mexico City metropolitan area (MCMA), recruited in 2008 and with active follow-up every three years. We assigned the monthly time-weighted exposures (PM2.5 and NO2) using home and work addresses, until failure, censoring or death. We developed two high resolution (1 × 1-km) spatiotemporal predictive generalized additive models of PM2.5 and NO2. Incident diabetes was identified through self-report and two administrative databases of registered diabetes patients. We fitted time-varying Cox models to estimate hazard ratios of the relation between PM2.5 and NO2 and incident T2D, adjusting for confounding variables that were identified using a causal model. RESULTS A total of 13,669 teachers were followed-up for a maximum of 11.5 years, over which 996 incident T2D cases (88 cases per 100,000 person-months) occurred. Incident T2D increased by 72% (HR = 1.72 [1.47-2.01]) for each 10 μg/m3 increase of PM2.5, and 52% for each 10 ppb of NO2 (HR = 1.52 [1.37-1.68]). DISCUSSION Mid-term exposure to PM2.5 and NO2 was associated with a higher risk of T2D after adjusting for indoor wood smoke, socioeconomic status, and physical activity. These associations were attenuated in two-pollutant models but remained positive when evaluated long-term exposure. This is the first prospective study to evaluate T2D risk by exposure to both pollutants, PM2.5 and NO2 in a population from an upper middle-income country in the Americas.
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Affiliation(s)
- Karla Cervantes-Martínez
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - Dalia Stern
- CONACyT - Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - José Salvador Zamora-Muñoz
- National Autonomous University of Mexico, Ave. Universidad No. 3000, Universidad Nacional Autónoma de México, C.P. 04510 Coyoacán, Ciudad de México, Mexico
| | - Ruy López-Ridaura
- National Center for Preventive Programs and Disease Control, Ministry of Health, Benjamín Franklin No. 132, Escandón, C.P. 11800 Miguel Hidalgo, Ciudad de México, Mexico
| | - José Luis Texcalac-Sangrador
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - Adrian Cortés-Valencia
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico
| | - Jorge Octavio Acosta-Montes
- Nursing and Nutrition Faculty, Autonomous University of Chihuahua, C. Escorza No. 900 Centro, C.P. 31000, Chihuahua, Chihuahua, Mexico
| | - Martín Lajous
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Horacio Riojas-Rodríguez
- Center for Population Health Research, National Institute of Public Health, Ave. Universidad No. 655 Santa María Ahuacatitlán, C.P. 62100 Cuernavaca, Morelos, Mexico.
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You Y, Wang D, Liu J, Chen Y, Ma X, Li W. Physical Exercise in the Context of Air Pollution: An Emerging Research Topic. Front Physiol 2022; 13:784705. [PMID: 35295574 PMCID: PMC8918627 DOI: 10.3389/fphys.2022.784705] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 01/18/2022] [Indexed: 12/12/2022] Open
Abstract
Physical exercise (PE) brings physiological benefits to human health; paradoxically, exposure to air pollution (AP) is harmful. Hence, the combined effects of AP and PE are interesting issues worth exploring. The objective of this study is to review literature involved in AP-PE fields to perform a knowledge-map analysis and explore the collaborations, current hotspots, physiological applications, and future perspectives. Herein, cluster, co-citation, and co-occurrence analysis were applied using CiteSpace and VOSviewer software. The results demonstrated that AP-PE domains have been springing up and in rapid growth since the 21st century. Subsequently, active countries and institutions were identified, and the productive institutions were mainly located in USA, China, UK, Spain, and Canada. Developed countries seemed to be the major promoters. Additionally, subject analysis found that environmental science, public health, and sports medicine were the core subjects, and multidimensional communications were forming. Thereafter, a holistic presentation of reference co-citation clusters was conducted to discover the research topics and trace the development focuses. Youth, elite athletes, and rural population were regarded as the noteworthy subjects. Commuter exposure and moderate aerobic exercise represented the common research context and exercise strategy, respectively. Simultaneously, the research hotspots and application fields were elaborated by keyword co-occurrence distribution. It was noted that physiological adaptations including respiratory, cardiovascular, metabolic, and mental health were the major themes; oxidative stress and inflammatory response were the mostly referred mechanisms. Finally, several challenges were proposed, which are beneficial to promote the development of the research field. Molecular mechanisms and specific pathways are still unknown and the equilibrium points and dose-effect relationships remain to be further explored. We are highly confident that this study provides a unique perspective to systematically and comprehensively review the pieces of AP-PE research and its related physiological mechanisms for future investigations.
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Affiliation(s)
- Yanwei You
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Dizhi Wang
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Jianxiu Liu
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Yuquan Chen
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xindong Ma
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
- *Correspondence: Xindong Ma
| | - Wenkai Li
- China Table Tennis College, Shanghai University of Sport, Shanghai, China
- Wenkai Li
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Relationship between Wildfire Smoke and Children’s Respiratory Health in the Metropolitan Cities of Central-Chile. ATMOSPHERE 2021. [DOI: 10.3390/atmos13010058] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Wildfire causes multiple problems for people living in cities. One of them is the deterioration of air quality as a result of wildfire smoke. This smoke can consequently have effects on human health. The present study aims to characterize the relationship between the occurrence of wildfires in central Chile and the effects on children’s respiratory health. Public databases provided the number of emergency care visits, wildfires, and concentration of air pollutants, demographics and meteorological variables for the regions of Santiago and Valparaiso from 2010 to 2013. Time series analysis was used monthly on health care visits to determine the relative health risk in children when in the presence of additional wildfires. Significant health risks were observed in Santiago for children younger than 1-year-old of bronchitis (RR 1.007, CI 95% 1.007–1.008; chronic lower respiratory diseases (RR 1.012, CI 95% 1.012–1.013); and pneumonia (RR 1.026 CI 95% 1.026–1.027) and in children aged one to four years old (RR 1.016 CI 95% 1.015–1.016). A dose-response relationship was also observed for pneumonia, showing that it affects younger children particularly when there is an increase in the number of wildfires. In the Region of Valparaíso, wildfires did not significantly change the risk of respiratory illness, this could be due to favorable ventilation. Currently, Santiago has an urgent need for monitoring and the evaluation of the damage to children’s respiratory health, along with the development of comprehensive prevention strategies.
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LaKind JS, Burns CJ, Pottenger LH, Naiman DQ, Goodman JE, Marchitti SA. Does ozone inhalation cause adverse metabolic effects in humans? A systematic review. Crit Rev Toxicol 2021; 51:467-508. [PMID: 34569909 DOI: 10.1080/10408444.2021.1965086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
We utilized a practical, transparent approach for systematically reviewing a chemical-specific evidence base. This approach was used for a case study of ozone inhalation exposure and adverse metabolic effects (overweight/obesity, Type 1 diabetes [T1D], Type 2 diabetes [T2D], and metabolic syndrome). We followed the basic principles of systematic review. Studies were defined as "Suitable" or "Supplemental." The evidence for Suitable studies was characterized as strong or weak. An overall causality judgment for each outcome was then determined as either causal, suggestive, insufficient, or not likely. Fifteen epidemiologic and 33 toxicologic studies were Suitable for evidence synthesis. The strength of the human evidence was weak for all outcomes. The toxicologic evidence was weak for all outcomes except two: body weight, and impaired glucose tolerance/homeostasis and fasting/baseline hyperglycemia. The combined epidemiologic and toxicologic evidence was categorized as weak for overweight/obesity, T1D, and metabolic syndrome,. The association between ozone exposure and T2D was determined to be insufficient or suggestive. The streamlined approach described in this paper is transparent and focuses on key elements. As systematic review guidelines are becoming increasingly complex, it is worth exploring the extent to which related health outcomes should be combined or kept distinct, and the merits of focusing on critical elements to select studies suitable for causal inference. We recommend that systematic review results be used to target discussions around specific research needs for advancing causal determinations.
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Affiliation(s)
- Judy S LaKind
- LaKind Associates, LLC, Catonsville, MD, USA.,Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Carol J Burns
- Burns Epidemiology Consulting, LLC, Sanford, MI, USA
| | | | - Daniel Q Naiman
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
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Shan A, Chen X, Yang X, Yao B, Liang F, Yang Z, Liu F, Chen S, Yan X, Huang J, Bo S, Tang NJ, Gu D, Yan H. Association between long-term exposure to fine particulate matter and diabetic retinopathy among diabetic patients: A national cross-sectional study in China. ENVIRONMENT INTERNATIONAL 2021; 154:106568. [PMID: 33878615 DOI: 10.1016/j.envint.2021.106568] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 04/07/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND While the relationship between ambient air pollution and diabetes mellitus has recently been reported, data on the association between fine particulate matter (PM2.5) and diabetic complications are limited, especially in microvascular diseases such as diabetic retinopathy. OBJECTIVES To investigate the associations between long-term exposure to PM2.5 and the prevalence of diabetic retinopathy in adult diabetic patients in rural China. METHODS The study population was based on the Rural Epidemiology for Glaucoma in China (REG-China), a national cross-sectional survey conducted in rural China. This analysis selected diabetic patients with or without diabetic retinopathy. A satellite-based spatiotemporal model was used to estimate personal PM2.5 exposure. Logistic regression models were used to investigate the effect of long-term PM2.5 exposure on diabetic retinopathy. RESULTS The analysis included 3111 diabetic participants, 329 of whom were diagnosed with diabetic retinopathy. The median level of exposure to PM2.5 from 2000 to2016 was 59.9 μg/m3. For each 10 μg/m3 increase in PM2.5, the adjusted odds ratio (95% confidence interval) for diabetic retinopathy was 1.41 (1.27, 1.57). In subgroup analyses, the effect of PM2.5 on diabetic retinopathy was significantly stronger in participants who self-reported alcohol consumption. CONCLUSION These findings suggest that long-term exposure to high PM2.5 was associated with the risk of diabetic retinopathy among diabetic patients in rural China.
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Affiliation(s)
- Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Baoqun Yao
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Medical University, Tianjin 300070, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ze Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Song Chen
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Xiaochang Yan
- National School of Development, Peking University, Beijing 100871, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Shaoye Bo
- China Foundation for Disabled Persons, Dongcheng District, Beijing 100006, China
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Dongfeng Gu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing 100037, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Hua Yan
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Medical University, Tianjin 300070, China.
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12
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Soltan-Abad RM, Kheirouri S, Abbasi MM, Alizadeh M, Khordadmehr M. Effect of sulfur dioxide exposure on histopathology and morphometry of pancreatic islet cells and glycemic indices in Wistar rats. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:45739-45744. [PMID: 33880698 DOI: 10.1007/s11356-021-12672-9] [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: 11/05/2020] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
Sulfur dioxide (SO2) is a ubiquitous air pollutant. Recent studies suggest that SO2 is a momentous risk factor for diabetes mellitus (DM). The present investigation aimed to evaluate the effects of SO2 exposure on histopathology and morphometry of pancreatic islet cells and serum glycemic indices in rats. Sixteen male Wistar rats were divided equally into SO2 and control groups. SO2 group was exposed to 10 parts per million (ppm) SO2 for 5 weeks (6 days a week, 3 h/day) and control group to filtered air for the same time as SO2 group. Blood serums were collected and pancreatic tissue isolated. Glycemic indices were measured. Pathological and morphometric changes were studied in the pancreatic tissues. Exposure to SO2 caused a significant increase in blood glucose but did not significantly change insulin and HbA1c serum levels and HOMA-IR. There were significant differences in vascular congestion (p= 0.02) and insulitis (p= 0.04) between the groups. SO2 inhalation significantly reduced beta cell number and beta-alpha cell ratio compared with the control group (p=0.03 and p<0.0001, respectively). These findings suggest that SO2 exposure damages pancreatic tissue which subsequently influences either the incidence of DM or the trend of diabetic complications.
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Affiliation(s)
- Razieh Musapour Soltan-Abad
- Department of Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Nishabouri St., 14711, Tabriz, 5166614711, Iran
| | - Sorayya Kheirouri
- Department of Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Nishabouri St., 14711, Tabriz, 5166614711, Iran.
| | | | - Mohammad Alizadeh
- Department of Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Nishabouri St., 14711, Tabriz, 5166614711, Iran
| | - Monireh Khordadmehr
- Department of Pathology, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
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Li Y, Fei T, Wang J, Nicholas S, Li J, Xu L, Huang Y, Li H. Influencing Indicators and Spatial Variation of Diabetes Mellitus Prevalence in Shandong, China: A Framework for Using Data-Driven and Spatial Methods. GEOHEALTH 2021; 5:e2020GH000320. [PMID: 33778309 PMCID: PMC7989969 DOI: 10.1029/2020gh000320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 02/22/2021] [Indexed: 06/12/2023]
Abstract
To control and prevent the risk of diabetes, diabetes studies have identified the need to better understand and evaluate the associations between influencing indicators and the prevalence of diabetes. One constraint has been that influencing indicators have been selected mainly based on subjective judgment and tested using traditional statistical modeling methods. We proposed a framework new to diabetes studies using data-driven and spatial methods to identify the most significant influential determinants of diabetes automatically and estimated their relationships. We used data from diabetes mellitus patients' health insurance records in Shandong province, China, and collected influencing indicators of diabetes prevalence at the county level in the sociodemographic, economic, education, and geographical environment domains. We specified a framework to identify automatically the most influential determinants of diabetes, and then established the relationship between these selected influencing indicators and diabetes prevalence. Our autocorrelation results showed that the diabetes prevalence in 12 Shandong cities was significantly clustered (Moran's I = 0.328, p < 0.01). In total, 17 significant influencing indicators were selected by executing binary linear regressions and lasso regressions. The spatial error regressions in different subgroups were subject to different diabetes indicators. Some positive indicators existed significantly like per capita fruit production and other indicators correlated with diabetes prevalence negatively like the proportion of green space. Diabetes prevalence was mainly subjected to the joint effects of influencing indicators. This framework can help public health officials to inform the implementation of improved treatment and policies to attenuate diabetes diseases.
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Affiliation(s)
- Yizhuo Li
- School of Resource and Environmental SciencesWuhan UniversityWuhanChina
| | - Teng Fei
- School of Resource and Environmental SciencesWuhan UniversityWuhanChina
| | - Jian Wang
- Research Center of Health Economics and ManagementDong Fureng Institute of Economic and Social DevelopmentWuhan UniversityBeijingChina
| | - Stephen Nicholas
- Top Education InstituteSydneyNSWAustralia
- Newcastle Business SchoolUniversity of NewcastleNewcastleNSWAustralia
- School of Management and School of EconomicsTianjin Normal UniversityTianjinChina
| | - Jun Li
- School of Resource and Environmental SciencesWuhan UniversityWuhanChina
| | - Lizheng Xu
- School of Public HealthCenter for Health Economics Experiment and Public PolicyShandong UniversityKey Laboratory of Health Economics and Policy ResearchNHFPC (Shandong University)JinanChina
| | - Yanran Huang
- School of Public HealthCenter for Health Economics Experiment and Public PolicyShandong UniversityKey Laboratory of Health Economics and Policy ResearchNHFPC (Shandong University)JinanChina
| | - Hanqi Li
- School of Resource and Environmental SciencesWuhan UniversityWuhanChina
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Cakmak S, Blanco-Vidal C, Lukina AO, Dales R. The association between air pollution and hospitalization for patients with systemic lupus erythematosus in Chile: A daily time series analysis. ENVIRONMENTAL RESEARCH 2021; 192:110469. [PMID: 33189741 DOI: 10.1016/j.envres.2020.110469] [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: 09/15/2020] [Revised: 10/30/2020] [Accepted: 11/09/2020] [Indexed: 06/11/2023]
Abstract
Genetic and environmental factors are thought to influence the activity of systemic lupus erythematosus (SLE), but relatively little is known about the effects of ambient air pollution. Using pollution data from air monitoring stations in the urban centers in Santiago Chile, along with daily patient hospitalization data from 2001 to 2012, an association between ambient air pollution and daily hospital admissions for SLE was tested using generalized linear models. Averaged over all regions pollutant mean 24 h concentrations were: 0.96 ppm carbon monoxide (CO), 64 ppb ozone (O3), 43 ppb nitrogen dioxide (NO2), 9 ppb sulphur dioxide (SO2), 29 μg/m3 particulate matter ≤ 2.5 μm in mean aerodynamic diameter (PM2.5), and 67 μg/m3 particulate matter ≤ 10 μm in diameter (PM10). The relative risk estimates in single pollutant models for an interquartile range (IQR) increase in pollutant were: RR = 1.34 (95% CI: 1.06-1.83) for SO2, RR = 1.60 (95% CI: 1.15-2.24) for CO, and RR = 1.41 (95% CI: 1.14-1.86) for PM2.5. In two-pollutant models, the significance of SO2 and PM2.5 persisted despite adjustments for each of the other measured pollutants. These findings suggest that acute increases in air pollution increase the risk of hospitalization with a primary diagnosis of SLE.
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Affiliation(s)
- Sabit Cakmak
- Population Studies Division, Environmental Health Science & Research Bureau, Health Canada, Canada
| | | | - Anna O Lukina
- Population Studies Division, Environmental Health Science & Research Bureau, Health Canada, Canada
| | - Robert Dales
- Population Studies Division, Environmental Health Science & Research Bureau, Health Canada, Canada; University of Ottawa and Ottawa Hospital Research Institute, Ottawa, Canada.
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15
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Shan A, Zhang Y, Zhang LW, Chen X, Li X, Wu H, Yan M, Li Y, Xian P, Ma Z, Li C, Guo P, Dong GH, Liu YM, Chen J, Wang T, Zhao BX, Tang NJ. Associations between the incidence and mortality rates of type 2 diabetes mellitus and long-term exposure to ambient air pollution: A 12-year cohort study in northern China. ENVIRONMENTAL RESEARCH 2020; 186:109551. [PMID: 32330771 DOI: 10.1016/j.envres.2020.109551] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 04/12/2020] [Accepted: 04/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ambient air pollution has recently been related to type 2 diabetes mellitus (T2DM), a disease that has caused an economic and health burden worldwide. Evidence of an association between air pollution and T2DM was reported in the United States and Europe. However, few studies have focused on the association with high levels of air pollutants in a developing country. OBJECTIVES We conducted a 12-year cohort study to assess the incidence and mortality of T2DM associated with long-term exposure to PM10, SO2, and NO2. METHODS A retrospective cohort with participants from four cities in northern China was conducted to assess mortality and incidence of T2DM from 1998 to 2009. Incidence of T2DM was self-reported, and incident intake of an antidiabetic drug or injection of insulin simultaneously and mortality of T2DM was obtained from a family member and double checked against death certificates provided from the local center for disease control and prevention. Individual pollution exposures were the mean concentrations of pollutants estimated from the local environmental monitoring centers over the survival years. Hazard ratios (HRs) were estimated using Cox regression models after adjusting for potential confounding factors. RESULTS A total of 39 054 participants were recruited into the mortality cohort, among which 59 subjects died from T2DM; 38 529 participants were analyzed in the incidence cohort, and 1213 developed new cases of T2DM. For each 10 μg/m3 increase in PM10, SO2, and NO2, the adjusted HRs and 95% confidence interval (CI) for diabetic incidence were 1.831 (1.778, 1.886), 1.287 (1.256, 1.318), and 1.472 (1.419, 1.528), respectively. Similar results can be observed in the analysis of diabetic mortality with HRs (95% CI) up to 2.260 (1.732, 2.950), 1.130 (1.042, 1.225), and 1.525 (1.280, 1.816), respectively. CONCLUSIONS Our results suggested that long-term exposure to high levels of PM10, SO2, and NO2 increase risk of incident and mortality of T2DM in China.
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Affiliation(s)
- Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Yu Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Li-Wen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Xuejun Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Hui Wu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Mengfan Yan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Yaoyan Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Ping Xian
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhao Ma
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Chaokang Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Pengyi Guo
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Guang-Hui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ya-Min Liu
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, Jinan, 250062, China
| | - Jie Chen
- Department of Occupational and Environmental Health, School of Public Health, China Medical University, No. 77 Puhe Road, Shenbei New District, 110122, Shenyang, Liaoning, China
| | - Tong Wang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Bao-Xin Zhao
- Taiyuan Center for Disease Control and Prevention, Taiyuan, 030001, China
| | - Nai-Jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China.
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16
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Bergmann S, Li B, Pilot E, Chen R, Wang B, Yang J. Effect modification of the short-term effects of air pollution on morbidity by season: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 716:136985. [PMID: 32044481 DOI: 10.1016/j.scitotenv.2020.136985] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 01/15/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
Studies of the health effects of air pollution have traditionally controlled for ambient temperature as a confounder, and vice versa. However, season might be an important factor contributing to adverse health effects of air pollution. Given the current inconsistencies in results of previous studies on the effect modification of air pollution on morbidity by season, a systematic review and meta-analysis was conducted to synthesize the current evidence on effects of season on air pollution and morbidity. The electronic databases including PubMed, Web of Science, Embase, CNKI, and Wanfang were used to identify papers published up to the 30st of November in 2019. We identified 4284 articles, after screening, eighty papers met the inclusion criteria. Significant effect modification of CO, O3, SO2 and NO2 on morbidity by season was observed, with corresponding ratio of relative risk of 1.0009 (95% CI: 1.0001-1.0018), 1.0080 (95% CI: 1.0021-1.0138), 0.9828 (95% CI: 0.9697-0.9962) and 0.9896 (95% CI: 0.9824-0.9968), respectively. Season significantly modified the effect of CO on pneumonia, the effect of SO2 on cardiovascular disease, the effect of PM10 on stroke, and the effect of O3 on stroke, asthma and pneumonia. The effect modifications of air pollution by season were similar among males and females, while the effect estimates seem to be higher among children under 18 years old and the elderly aged 75 or over. Further research is needed to better understand the mechanisms underlying the seasonal variance of the effect of air pollutants on morbidity.
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Affiliation(s)
- Stéphanie Bergmann
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Bixia Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Eva Pilot
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Renchao Chen
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China.
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17
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Paralovo SL, Barbosa CGG, Carneiro IPS, Kurzlop P, Borillo GC, Schiochet MFC, Godoi AFL, Yamamoto CI, de Souza RAF, Andreoli RV, Ribeiro IO, Manzi AO, Kourtchev I, Bustillos JOV, Martin ST, Godoi RHM. Observations of particulate matter, NO 2, SO 2, O 3, H 2S and selected VOCs at a semi-urban environment in the Amazon region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 650:996-1006. [PMID: 30308874 DOI: 10.1016/j.scitotenv.2018.09.073] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Revised: 08/20/2018] [Accepted: 09/05/2018] [Indexed: 06/08/2023]
Abstract
This research aims to assess air quality in a transitional location between city and forest in the Amazon region. Located downwind of the Manaus metropolitan region, this study is part of the large-scale experiment GoAmazon2014/5. Based on their pollutant potential, inhalable particulate matter (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), hydrogen sulfide (H2S), benzene, toluene, ethylbenzene and meta-, orto-, para-xylene (BTEX) were selected for analysis. Sampling took place during the wet season (March-April 2014) and dry season (August-October 2014). The number of forest fires in the surroundings was higher during the dry wet season. Results show significant increase during the dry season in mass concentration (wet: <0.01-10 μg m-3; dry: 9.8-69 μg m-3), NH4+ soluble content (wet: 13-125 μg m-3; dry: 86-323 μg m-3) and K+ soluble content (wet: 11-168 μg m-3; dry 60-356 μg m-3) of the PM2.5, and O3 levels (wet: 1.4-14 μg m-3; dry: 1.0-40 μg m-3), indicating influence of biomass burning emissions. BTEX concentrations were low in both periods, but also increased during the dry season. A weak correlation in the time series of the organic and inorganic gaseous pollutants indicates a combination of different sources in both seasons and NO2 results suggest a spatial heterogeneity in gaseous pollutants levels beyond initial expectations.
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Affiliation(s)
- Sarah L Paralovo
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | - Cybelli G G Barbosa
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | - Isabela P S Carneiro
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | - Priscila Kurzlop
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | - Guilherme C Borillo
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | | | - Ana Flavia L Godoi
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | - Carlos I Yamamoto
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil
| | | | - Rita V Andreoli
- State University of Amazonas, Meteorology Department, Manaus, Brazil
| | - Igor O Ribeiro
- State University of Amazonas, Meteorology Department, Manaus, Brazil
| | | | - Ivan Kourtchev
- University of Cambridge, Department of Chemistry, Cambridge, UK
| | | | - Scot T Martin
- Harvard University, School of Engineering and Applied Sciences & Department of Earth and Planetary Sciences, Cambridge, MA, USA
| | - Ricardo H M Godoi
- Federal University of Paraná, Environmental Engineering Department, Curitiba, Brazil.
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18
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Kim H, Kim W, Choi JE, Kim C, Sohn J. Short-term Effect of Ambient Air Pollution on Emergency Department Visits for Diabetic Coma in Seoul, Korea. J Prev Med Public Health 2018; 51:265-274. [PMID: 30514056 PMCID: PMC6283743 DOI: 10.3961/jpmph.18.153] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 10/05/2018] [Indexed: 12/23/2022] Open
Abstract
Objectives A positive association between air pollution and both the incidence and prevalence of diabetes mellitus (DM) has been reported in some epidemiologic and animal studies, but little research has evaluated the relationship between air pollution and diabetic coma. Diabetic coma is an acute complication of DM caused by diabetic ketoacidosis or hyperosmolar hyperglycemic state, which is characterized by extreme hyperglycemia accompanied by coma. We conducted a time-series study with a generalized additive model using a distributed-lag non-linear model to assess the association between ambient air pollution (particulate matter less than 10 μm in aerodynamic diameter, nitrogen dioxide [NO2], sulfur dioxide, carbon monoxide, and ozone) and emergency department (ED) visits for DM with coma in Seoul, Korea from 2005 to 2009. Methods The ED data and medical records from the 3 years previous to each diabetic coma event were obtained from the Health Insurance Review and Assessment Service to examine the relationship with air pollutants. Results Overall, the adjusted relative risks (RRs) for an interquartile range (IQR) increment of NO2 was statistically significant at lag 1 (RR, 1.125; 95% confidence interval [CI], 1.039 to 1.219) in a single-lag model and both lag 0-1 (RR, 1.120; 95% CI, 1.028 to 1.219) and lag 0-3 (RR, 1.092; 95% CI, 1.005 to 1.186) in a cumulative-lag model. In a subgroup analysis, significant positive RRs were found for females for per-IQR increments of NO2 at cumulative lag 0-3 (RR, 1.149; 95% CI, 1.022 to 1.291). Conclusions The results of our study suggest that ambient air pollution, specifically NO2, is associated with ED visits for diabetic coma.
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Affiliation(s)
- Hyunmee Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Woojin Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jee Eun Choi
- Department of Public Health, Yonsei University Graduate School, Seoul, Korea
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.,Department of Public Health, Yonsei University Graduate School, Seoul, Korea.,Institute of Human Complexity and Systems Science, Yonsei University, Incheon, Korea
| | - Jungwoo Sohn
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, Korea
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Song J, Liu Y, Zheng L, Gui L, Zhao X, Xu D, Wu W. Acute effects of air pollution on type II diabetes mellitus hospitalization in Shijiazhuang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:30151-30159. [PMID: 30151787 DOI: 10.1007/s11356-018-3016-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 08/20/2018] [Indexed: 05/23/2023]
Abstract
UNLABELLED Air pollution has been considered as an important contributor to diabetes development. However, the evidence is fewer in developing countries where air pollution concentrations were much higher. In this study, we conduct a time-series study to investigate the acute adverse effect of six air pollutants on type II diabetes mellitus (T2DM) hospitalization in Shijiazhuang, China. An over-dispersed passion generalized addictive model adjusted for weather conditions, day of the week, and long-term and seasonal trends was used. Finally, a 10-μg/m3 increase of fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) corresponded to 0.53% (95% confidence interval = 0.22-0.83), 0.32% (95% CI = 0.10-0.55), 0.55% (95% CI = 0.04-1.07), 1.27% (95% CI = 0.33-2.22), and 0.04% (95% CI = 0.02-0.06) increment of T2DM hospitalization, respectively. The effects of PM2.5, PM10, and CO were robust when adjusted for co-pollutants. The associations appeared to be a little stronger in the cool season than in the warm season. And stronger associations were found in male and elderly (≥ 65 years) than in female and younger people (35-65 years). Our results contribute to the limited data in the scientific literature on acute effects of air pollution on type II diabetes mellitus in developing countries. MAIN FINDINGS This is the first adverse effect evidence of air pollution on T2DM in Shijiazhuang, a severely polluted city in China. Males were more vulnerable than females in severe pollution.
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Affiliation(s)
- Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China.
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang, 453003, China.
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Liheng Zheng
- Hebei Chest Hospital, Shijiazhuang, 050041, China
| | - Lihui Gui
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Xiangmei Zhao
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Dongqun Xu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang, 453003, China
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20
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Khafaie MA, Salvi SS, Ojha A, Khafaie B, Gore SD, Yajnik CS. Particulate matter and markers of glycemic control and insulin resistance in type 2 diabetic patients: result from Wellcome Trust Genetic study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2018; 28:328-336. [PMID: 29269753 DOI: 10.1038/s41370-017-0001-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Revised: 08/06/2017] [Accepted: 08/18/2017] [Indexed: 06/07/2023]
Abstract
There is growing evidence that air pollution is associated with increased risk of type 2 diabetes (T2DM). However, information related to whether particulate matter (PM) contributing to worsened metabolic control in T2DM patients is inconsistent. We examined the association of PM10 exposure with glucose-function parameters in young-onset T2DM patients. We investigated the association between a year ambient concentration of PM10 at residential places, using AERMOD dispersion model, with fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), 2 h post meal plasma glucose (2hPG), homeostasis model assessment of insulin resistance (HOMA-IR), β-cell function (HOMA-β) and disposition index (DI) in 1213 diabetic patients from the Wellcome Trust Genetic study at the Diabetes Unit, KEM Hospital Research Center, Pune, India. We used linear regression models and adjusted for a variety of individual and environmental confounding variables. Possible effect modification by age, gender, waist-to-hip ratio (WHR) and smoking status were investigated. Sensitivity analysis assessed the impact of relative humidity (RH) and temperature a day before examination and anti-diabetic and HHR medication (Hydralazine, Hydrochlorothiazide and Reserpine). We found that 1 SD increment in background concentration of PM10 at residential places (43.83 µg/m3) was significantly associated with 2.25 mmol/mol and 0.38 mmol/l increase in arithmetic means of HbA1c and 2hPG, respectively. A similar increase in PM10 was also associated with 4.89% increase in geometric mean of HOMA-IR. The associations remained significant after adjustment to RH and temperature, and WHR and smoking enhanced the size of the effect. Our study suggests that long-term exposure to PM10 is associated with higher glycaemia and insulin resistance. In context of our previous demonstration of association of SO2 and NO x and plasma C-reactive protein, we suggest that air pollution could influence progression of diabetes complications. Prospective studies and interventions are required to define mechanism and confirm causality.
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Affiliation(s)
- Morteza Abdullatif Khafaie
- Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Department of Public Health, Faculty of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Ajay Ojha
- Technogreen Environmental Solutions, Pune, Maharashtra, India
| | - Behzad Khafaie
- Department of Statistics, Islamic Azad University, Omidiyeh Branch, Omidiyeh, Iran
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Association between Short-Term Exposure to Air Pollution and Dyslipidemias among Type 2 Diabetic Patients in Northwest China: A Population-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15040631. [PMID: 29601472 PMCID: PMC5923673 DOI: 10.3390/ijerph15040631] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 03/15/2018] [Accepted: 03/26/2018] [Indexed: 01/19/2023]
Abstract
Air pollution exposure may play an adverse role in diabetes. However, little data are available directly evaluating the effects of air pollution exposure in blood lipids of which dysfunction has been linked to diabetes or its complications. We aimed to evaluate the association between air pollution and lipids level among type 2 diabetic patients in Northwest China. We performed a population-based study of 3912 type 2 diabetes patients in an ongoing cohort study in China. Both spline and multiple linear regressions analysis were used to examine the association between short-term exposure to PM10, SO2, NO2 and total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). By spline analyses, we observed that the relationship between SO2 and HDL-C and LDL-C was shown to be non-linear (p_non-lin-association = 0.0162 and 0.000). An inverted U-shaped non-linear relationship between NO2 and LDL-C was found (p_non-lin-association < 0.0001). A J-shaped non-linear relationship between PM10 and TC, HDL-C (p_non-lin-association = 0.0173, 0.0367) was also revealed. In linear regression analyses, a 10 μg/m3 increment in SO2 was associated with 1.31% (95% CI: 0.40–2.12%), 3.52% (95% CI: 1.07–6.03%) and 7.53% (95% CI: 5.98–9.09%) increase in TC, TG and LDL-C, respectively. A 10 μg/m3 increment in PM10 was associated with 0.45% (95% CI: 0.08–0.82%), 0.29% (95% CI: 0.10–0.49%) and 0.83% (95% CI: 0.21–1.45%) increase in TC, HDL-C and LDL-C, respectively. For NO2, an increment of 10 μg/m3 was statistically associated with −3.55% (95% CI: −6.40–0.61%) and 39.01% (95% CI: 31.43–47.03%) increase in HDL-C and LDL-C. The adverse effects of air pollutants on lipid levels were greater in female and elder people. Further, we found SO2 and NO2 played a more evident role in lipid levels in warm season, while PM10 appeared stronger in cold season. The findings suggest that exposure to air pollution has adverse effects on lipid levels among type 2 diabetes patients, and vulnerable people may pay more attention on severe air pollution days.
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Li X, Tang K, Jin XR, Xiang Y, Xu J, Yang LL, Wang N, Li YF, Ji AL, Zhou LX, Cai TJ. Short-term air pollution exposure is associated with hospital length of stay and hospitalization costs among inpatients with type 2 diabetes: a hospital-based study. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2018; 81:819-829. [PMID: 30015599 DOI: 10.1080/15287394.2018.1491912] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Air pollution is a risk factor for type 2 diabetes (T2D), exerting heavy economic burden on both individuals and societies. However, there is no apparent report regarding the influence of air pollutants such as particulate matter (PM2.5 and PM10), sulfur dioxide (SO2), carbon monoxide (CO), nitrogen dioxide (NO2), and ozone (O3) on financial burden to individuals and societies suffering from T2D. This study aimed to determine whether short-term (no more than 16 d) air pollution exposure was associated with T2D-related length of stay (LOS) and hospitalization expenses incurred by patients. This investigation examined 2840 T2D patients hospitalized from December 17, 2013 to May 31, 2016 in China. Multiple linear regression analysis was applied to determine the association between short-term (no more than 16 d) ambient air pollution, LOS, and hospitalization expenses, controlling for age, gender, ethnicity, marital status, and weather conditions. Sulfur dioxide (SO2) and carbon monoxide (CO) were significantly positively while nitrogen dioxide (NO2) was negatively associated with presence of T2D, LOS, and expenses. A 10-μg/m3 rise in 16-d (lag 0-15) average concentrations of SO2 and CO prior to hospitalization was correlated with a significant elevation in LOS and elevation in expenses in T2D patients. However, a 10-μg/m3 rise in 16-d average NO2 was associated with marked negative alterations in LOS and hospital costs in T2D patients. Taken together, data demonstrate that exposure to air pollutants impacts differently on LOS and hospitalization costs for T2D patients. This is the first apparent report regarding the correlation between air pollution exposure and clinical costs of T2D in China. It is of interest that air pollutants affected T2D patients differently as evidenced by LOS and clinical expenses where SO2 and CO exhibited a positive adverse relationship in contrast to NO2.
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Affiliation(s)
- Xiang Li
- a Department of Epidemiology, College of Preventive Medicine , Third Military Medical University (Army Medical University) , Chongqing , China
- b Fourth Battalion of Student Brigade , Third Military Medical University (Army Medical University) , Chongqing , China
| | - Kai Tang
- c Third Battalion of Student Brigade , Third Military Medical University (Army Medical University) , Chongqing , China
| | - Xu-Rui Jin
- b Fourth Battalion of Student Brigade , Third Military Medical University (Army Medical University) , Chongqing , China
| | - Ying Xiang
- a Department of Epidemiology, College of Preventive Medicine , Third Military Medical University (Army Medical University) , Chongqing , China
| | - Jing Xu
- d Department of Endocrinology , Xinqiao Hospital, Third Military Medical University (Army Medical University) , Chongqing , China
| | - Li-Li Yang
- e Department of Information , Xinqiao Hospital, Third Military Medical University (Army Medical University) , Chongqing , China
| | - Nan Wang
- f Medical department , Xinqiao Hospital, Third Military Medical University (Army Medical University) , Chongqing , China
| | - Ya-Fei Li
- a Department of Epidemiology, College of Preventive Medicine , Third Military Medical University (Army Medical University) , Chongqing , China
| | - Ai-Ling Ji
- g Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences , Chongqing Medical and Pharmaceutical College , Chongqing , China
| | - Lai-Xin Zhou
- f Medical department , Xinqiao Hospital, Third Military Medical University (Army Medical University) , Chongqing , China
| | - Tong-Jian Cai
- a Department of Epidemiology, College of Preventive Medicine , Third Military Medical University (Army Medical University) , Chongqing , China
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23
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Gawda A, Majka G, Nowak B, Marcinkiewicz J. Air pollution, oxidative stress, and exacerbation of autoimmune diseases. Cent Eur J Immunol 2017; 42:305-312. [PMID: 29204097 PMCID: PMC5708213 DOI: 10.5114/ceji.2017.70975] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 06/01/2017] [Indexed: 02/07/2023] Open
Abstract
A number of epidemiological studies have shown a strong association between exposure to ambient airborne particulate matter (PM 2.5, PM < 1.0) and lung or cardiovascular diseases characterised by high mortality and morbidity. However, much less is known about the role of air pollution in the pathogenesis of autoimmune diseases, which constitutes a significant problem in modern society. This paper summarises the state of current research regarding the influence of PM on the development and/or progression of autoimmune diseases. A brief review of the great body of research concerning pathogenesis of autoimmune disorders is presented. Then, the scope of our review is narrowed to the research related to the impact of particulate matter on oxidative and nitrosative stress, as well as exacerbation of chronic inflammation, because they can contribute to the development of autoimmune diseases. Moreover, we discuss the impact of various components of PM (metal, organic compounds) on PM toxicity and the ability to generate oxidants.
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Affiliation(s)
- Anna Gawda
- Chair of Immunology, Jagiellonian University, Collegium Medicum, Krakow, Poland
| | - Grzegorz Majka
- Chair of Immunology, Jagiellonian University, Collegium Medicum, Krakow, Poland
| | - Bernadeta Nowak
- Chair of Immunology, Jagiellonian University, Collegium Medicum, Krakow, Poland
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24
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Ying Z, Allen K, Zhong J, Chen M, Williams KM, Wagner JG, Lewandowski R, Sun Q, Rajagopalan S, Harkema JR. Subacute inhalation exposure to ozone induces systemic inflammation but not insulin resistance in a diabetic mouse model. Inhal Toxicol 2016; 28:155-63. [PMID: 26986950 DOI: 10.3109/08958378.2016.1146808] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Epidemiological studies suggest that diabetics may be more susceptible to the adverse health effects from exposure to high ambient concentrations of ozone, the primary oxidant gas in photochemical smog. While increased morbidity and mortality from ozone inhalation has been linked to disruption of normal cardiovascular and airway functions, potential effects on glucose and insulin homeostasis are not understood. We tested the hypothesis that ozone exposure would worsen metabolic homeostasis in KKAy mice, a genetic diabetic animal model. Male KKAy mice were exposed to 0.5 ppm ozone for 13 consecutive weekdays, and then assessed for airway, adipose and systemic inflammation, glucose homeostasis, and insulin signaling. Ozone exposure increased plasma TNFα, as well as expression of VCAM-1, iNOS and IL-6 in both pulmonary and adipose tissues. Pro-inflammatory CD11b(+)Gr-1(lo)7/4(hi) macrophages were increased by 200% in adipose tissue, but unchanged in blood. Interestingly, glucose levels were not significantly different in the insulin tolerance test between air- and ozone-exposed mice, whereas fasting insulin levels and HOMA-IR in ozone-exposed animals were significantly reduced. These changes were accompanied by increased insulin signaling in skeletal muscle and liver, but not adipose tissues. Ozone also caused decrease in body weight and plasma leptin. Our results show that in addition to marked local and systemic inflammation, ozone increases insulin sensitivity that may be related to weight loss/leptin sensitization-dependent mechanisms in KKAy mice, warranting further study on the role of hyperglycemia in mediating cardiometabolic effects of ozone inhalation.
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Affiliation(s)
- Zhekang Ying
- a Department of Medicine , Cardiology Division, University of Maryland School of Medicine , Baltimore , MD , USA
| | - Katryn Allen
- b Department of Pathobiology and Diagnostic Investigation , Michigan State University , East Lansing , MH , USA , and
| | - Jixin Zhong
- a Department of Medicine , Cardiology Division, University of Maryland School of Medicine , Baltimore , MD , USA
| | - Minjie Chen
- a Department of Medicine , Cardiology Division, University of Maryland School of Medicine , Baltimore , MD , USA
| | - Keisha M Williams
- b Department of Pathobiology and Diagnostic Investigation , Michigan State University , East Lansing , MH , USA , and
| | - James G Wagner
- b Department of Pathobiology and Diagnostic Investigation , Michigan State University , East Lansing , MH , USA , and
| | - Ryan Lewandowski
- b Department of Pathobiology and Diagnostic Investigation , Michigan State University , East Lansing , MH , USA , and
| | - Qinghua Sun
- c College of Public Health, Ohio State University , Columbus , OH , USA
| | - Sanjay Rajagopalan
- a Department of Medicine , Cardiology Division, University of Maryland School of Medicine , Baltimore , MD , USA
| | - Jack R Harkema
- b Department of Pathobiology and Diagnostic Investigation , Michigan State University , East Lansing , MH , USA , and
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Abstract
BACKGROUND Chile has recently been reclassified by the World Bank from an upper-middle-income country to a high-income country. There has been great progress in the last 20 to 30 years in relation to air and water pollution in Chile. Yet after 25 years of unrestrained growth, there remain clear challenges posed by air and water pollution, as well as climate change. OBJECTIVE The aim of this study was to review environmental health in Chile. METHODS In late 2013, a 3-day workshop on environmental health was held in Santiago, Chile, bringing together researchers and government policymakers. As a follow-up to that workshop, here we review the progress made in environmental health in the past 20 to 30 years and discuss the challenges of the future. We focus on air and water pollution and climate change, which we believe are among the most important areas of environmental health in Chile. RESULTS Air pollution in some cities remains among the highest in the continent. Potable water is generally available, but weak state supervision has led to serious outbreaks of infectious disease and ongoing issues with arsenic exposure in some regions. Climate change modeling in Chile is quite sophisticated, and a number of the impacts of climate change can be reasonably predicted in terms of which areas of the country are most likely to be affected by increased temperature and decreased availability of water, as well as expansion of vector territory. Some health effects, including changes in vector-borne diseases and excess heat mortality, can be predicted. However, there has yet to be an integration of such research with government planning. CONCLUSIONS Although great progress has been made, currently there are a number of problems. We suspect that the Chilean experience in environmental health may be of some use for other Latin American countries with rapid economic development.
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Rao X, Patel P, Puett R, Rajagopalan S. Air pollution as a risk factor for type 2 diabetes. Toxicol Sci 2015; 143:231-41. [PMID: 25628401 DOI: 10.1093/toxsci/kfu250] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Recent studies in both humans and animals suggest that air pollution is an important risk factor for type 2 diabetes mellitus (T2DM). However, the mechanism by which air pollution mediates propensity to diabetes is not fully understood. While a number of epidemiologic studies have shown a positive association between ambient air pollution exposure and risk for T2DM, some studies have not found such a relationship. Experimental studies in susceptible disease models do support this association and suggest the involvement of tissues involved in the pathogenesis of T2DM such as the immune system, adipose, liver, and central nervous system. This review summarizes the epidemiologic and experimental evidence between ambient outdoor air pollution and T2DM.
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Affiliation(s)
- Xiaoquan Rao
- *Division of Cardiovascular Medicine, University of Maryland, Baltimore and Maryland Institute for Applied Environmental Health, Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park
| | - Priti Patel
- *Division of Cardiovascular Medicine, University of Maryland, Baltimore and Maryland Institute for Applied Environmental Health, Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park
| | - Robin Puett
- *Division of Cardiovascular Medicine, University of Maryland, Baltimore and Maryland Institute for Applied Environmental Health, Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park
| | - Sanjay Rajagopalan
- *Division of Cardiovascular Medicine, University of Maryland, Baltimore and Maryland Institute for Applied Environmental Health, Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park
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Rao X, Montresor-Lopez J, Puett R, Rajagopalan S, Brook RD. Ambient air pollution: an emerging risk factor for diabetes mellitus. Curr Diab Rep 2015; 15:603. [PMID: 25894943 DOI: 10.1007/s11892-015-0603-8] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Growing evidence supports that air pollution has become an important risk factor for developing diabetes mellitus. Understanding the contributing effect of air pollution in population studies, elucidating the potential mechanisms involved, and identifying the most responsible pollutants are all required in order to promulgate successful changes in policy and to help formulate preventive measures in an effort to reduce the risk for diabetes. This review summarizes recent findings from epidemiologic studies and mechanistic insights that provide links between exposure to air pollution and a heightened risk for diabetes.
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Affiliation(s)
- Xiaoquan Rao
- Division of Cardiovascular Medicine, University of Maryland, Baltimore, MD, USA
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28
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Can exposure to environmental chemicals increase the risk of diabetes type 1 development? BIOMED RESEARCH INTERNATIONAL 2015; 2015:208947. [PMID: 25883945 PMCID: PMC4391693 DOI: 10.1155/2015/208947] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Accepted: 09/14/2014] [Indexed: 01/09/2023]
Abstract
Type 1 diabetes mellitus (T1DM) is an autoimmune disease, where destruction of beta-cells causes insulin deficiency. The incidence of T1DM has increased in the last decades and cannot entirely be explained by genetic predisposition. Several environmental factors are suggested to promote T1DM, like early childhood enteroviral infections and nutritional factors, but the evidence is inconclusive. Prenatal and early life exposure to environmental pollutants like phthalates, bisphenol A, perfluorinated compounds, PCBs, dioxins, toxicants, and air pollutants can have negative effects on the developing immune system, resulting in asthma-like symptoms and increased susceptibility to childhood infections. In this review the associations between environmental chemical exposure and T1DM development is summarized. Although information on environmental chemicals as possible triggers for T1DM is sparse, we conclude that it is plausible that environmental chemicals can contribute to T1DM development via impaired pancreatic beta-cell and immune-cell functions and immunomodulation. Several environmental factors and chemicals could act together to trigger T1DM development in genetically susceptible individuals, possibly via hormonal or epigenetic alterations. Further observational T1DM cohort studies and animal exposure experiments are encouraged.
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Tong L, Li K, Zhou Q. The association between air pollutants and morbidity for diabetes and liver diseases modified by sexes, ages, and seasons in Tianjin, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2015; 22:1215-9. [PMID: 25128024 DOI: 10.1007/s11356-014-3432-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Accepted: 08/07/2014] [Indexed: 05/16/2023]
Abstract
With the generalized linear model and natural splines (ns), we examined the association between outdoor air pollutants and daily morbidity for diabetes and liver disease stratified by sexes and ages based on 4 years of daily data (2008-2011) in Tianjin, China. Season effects of air pollutants including particulate matter (PM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were also investigated. An increase of 10 μg/m(3) in a 2-day average concentrations of particulate matter with diameters of 10 μm or less (PM10), SO2, and NO2 corresponds to increases in diabetes morbidity of 0.39 % (95 % confidence interval (CI), -0.42-1.12), 0.15 % (95 % CI, -0.25-0.54), and 1.22 % (95 % CI, 0.51-2.96), respectively. As for liver morbidity, the increases were -0.84 % (95 % CI, -2.33-0.62), 0.90 % (95 % CI, 0.50-1.74), and 1.10 % (95 % CI, -2.58-4.78), respectively. The effects were stronger in the cool season than those in the warm season; females and the elderly were generally more vulnerable to outdoor air pollution. This study possesses scientific implications and instructional significance for local environmental standards and medical policymaking.
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Affiliation(s)
- Ling Tong
- College of Environmental Science and Engineering, Tianjin University, Tianjin, 300071, China
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30
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Yan YH, C-K Chou C, Wang JS, Tung CL, Li YR, Lo K, Cheng TJ. Subchronic effects of inhaled ambient particulate matter on glucose homeostasis and target organ damage in a type 1 diabetic rat model. Toxicol Appl Pharmacol 2014; 281:211-20. [PMID: 25454026 DOI: 10.1016/j.taap.2014.10.005] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Revised: 10/08/2014] [Accepted: 10/11/2014] [Indexed: 01/07/2023]
Abstract
Epidemiological studies have reported associations between particulate matter (PM) and cardiovascular effects, and diabetes mellitus (DM) patients might be susceptible to these effects. The chief chronic injuries resulting from DM are small vascular injuries (micro-vascular complications) or large blood vessel injuries (macro-vascular complications). However, toxicological data regarding the effects of PM on DM-related cardiovascular complications is limited. Our objective was to investigate whether subchronic PM exposure alters glucose homeostasis and causes cardiovascular complications in a type 1 DM rat model. We constructed a real world PM2.5 exposure system, the Taipei Air Pollution Exposure System for Health Effects (TAPES), to continuously deliver non-concentrated PM for subchronic exposure. A type 1 DM rat model was induced using streptozotocin. Between December 22, 2009 and April 9, 2010, DM rats were exposed to PM or to filtered air (FA) using TAPES in Taipei, Taiwan, 24h/day, 7days/week, for a total of 16weeks. The average concentrations (mean [SD]) of PM2.5 in the exposure and control chambers of the TAPES were 13.30 [8.65] and 0.13 [0.05]μg/m(3), respectively. Glycated hemoglobin A1c (HbA1c) was significantly elevated after exposure to PM compared with exposure to FA (mean [SD], 7.7% [3.1%] vs. 4.7% [1.0%], P<0.05). Interleukin 6 and fibrinogen levels were significantly increased after PM exposure. PM caused focal myocarditis, aortic medial thickness, advanced glomerulosclerosis, and accentuation of tubular damage of the kidney (tubular damage index: 1.76 [0.77] vs. 1.15 [0.36], P<0.001). PM exposure might induce the macro- and micro-vascular complications in DM through chronic hyperglycemia and systemic inflammation.
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Affiliation(s)
- Yuan-Horng Yan
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Medical Research, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan
| | - Charles C-K Chou
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | - Jyh-Seng Wang
- Department of Pathology and Laboratory Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Chun-Liang Tung
- Department of Pathology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan
| | - Ya-Ru Li
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Kai Lo
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Tsun-Jen Cheng
- Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.
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Bell ML, Zanobetti A, Dominici F. Who is more affected by ozone pollution? A systematic review and meta-analysis. Am J Epidemiol 2014; 180:15-28. [PMID: 24872350 DOI: 10.1093/aje/kwu115] [Citation(s) in RCA: 113] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Ozone is associated with adverse health; however, less is known about vulnerable/sensitive populations, which we refer to as sensitive populations. We systematically reviewed epidemiologic evidence (1988-2013) regarding sensitivity to mortality or hospital admission from short-term ozone exposure. We performed meta-analysis for overall associations by age and sex; assessed publication bias; and qualitatively assessed sensitivity to socioeconomic indicators, race/ethnicity, and air conditioning. The search identified 2,091 unique papers, with 167 meeting inclusion criteria (73 on mortality and 96 on hospitalizations and emergency department visits, including 2 examining both mortality and hospitalizations). The strongest evidence for ozone sensitivity was for age. Per 10-parts per billion increase in daily 8-hour ozone concentration, mortality risk for younger persons, at 0.60% (95% confidence interval (CI): 0.40, 0.80), was statistically lower than that for older persons, at 1.27% (95% CI: 0.76, 1.78). Findings adjusted for publication bias were similar. Limited/suggestive evidence was found for higher associations among women; mortality risks were 0.39% (95% CI: -0.22, 1.00) higher than those for men. We identified strong evidence for higher associations with unemployment or lower occupational status and weak evidence of sensitivity for racial/ethnic minorities and persons with low education, in poverty, or without central air conditioning. Findings show that some populations, especially the elderly, are particularly sensitive to short-term ozone exposure.
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32
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Park SK, Wang W. Ambient Air Pollution and Type 2 Diabetes: A Systematic Review of Epidemiologic Research. Curr Environ Health Rep 2014; 1:275-286. [PMID: 25170433 DOI: 10.1007/s40572-014-0017-9] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Recent experimental and epidemiologic studies have suggested air pollution as a new risk factor for type 2 diabetes mellitus (T2DM). We conducted a systematic review of the epidemiologic studies on the association of air pollution with T2DM and related outcomes published by December 2013. We identified 22 studies: 6 prospective studies on incident T2DM; 2 prospective study on diabetes mortality; 4 cross-sectional studies on prevalent T2DM; 7 ecological studies on mortality or morbidity from diabetes; and 3 studies on glucose or insulin levels. The evidence of the association between long-term exposure to fine particles (PM2.5) and the risk of T2DM is suggestive. The summary hazard ratio of the association between long-term PM2.5 exposure and incident T2DM was 1.11 (95% CI, 1.03-1.19) for a 10 μg/m3 increase. The evidence on the association between long-term traffic-related exposure (measured by nitrogen dioxide or nitrogen oxides) and the risk of T2DM was also suggestive although most studies were conducted in women. For short-term effects of air pollution on diabetes mortality or hospital/emergency admissions, we conclude that the evidence is not sufficient to infer a causal relationship. Because most studies were conducted in North America or in Europe where exposure levels are relatively low, more studies are needed in recently urbanized areas in Asia and Latin America where air pollution levels are much higher and T2DM is an emerging public health concern.
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Affiliation(s)
- Sung Kyun Park
- Departments of Epidemiology and Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, U.S.A
| | - Weiye Wang
- Departments of Epidemiology and Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, U.S.A
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Delgado-Buenrostro NL, Freyre-Fonseca V, Cuéllar CMG, Sánchez-Pérez Y, Gutierrez-Cirlos EB, Cabellos-Avelar T, Orozco-Ibarra M, Pedraza-Chaverri J, Chirino YI. Decrease in respiratory function and electron transport chain induced by airborne particulate matter (PM10) exposure in lung mitochondria. Toxicol Pathol 2012; 41:628-38. [PMID: 23104767 DOI: 10.1177/0192623312463784] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Particulate matter, with a mean aerodynamic diameter of ≤10 µm (PM10), exposure is considered as a risk factor for cardiovascular and respiratory diseases. The mechanism of cell damage induced by PM10 exposure is related to mitochondrial alterations. The aim of this work was to investigate the detailed alterations induced by PM10 on mitochondrial function. Since lung tissue is one of the most important targets of PM10 inhalation, isolated mitochondria from lung rat tissue were exposed to PM10 and structural alterations were analyzed by transmission electron microscopy. Mitochondrial function was evaluated by respiratory control index (RCI), membrane potential, adenosine triphosphate (ATP) synthesis, and activity of respiratory chain. Results showed that exposure to PM10 in isolated mitochondria from lung tissue caused enlarged intermembrane spaces and shape alterations, disruption of cristae, and the decrease in dense granules. Oxygraphic traces showed a concentration-dependent decrease in oxygen consumption and RCI. In addition, mitochondrial membrane potential, ATP synthesis, and activity of complexes II and IV showed an increase and decrease, respectively, after PM10 exposure. PM10 exposure induced disruption in structure and function in isolated mitochondria from lung rat tissue.
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