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Uttajug A, Seposo X, Phosri A, Phung VLH, Tajudin MAA, Ueda K. Effects of Coexposure to Air Pollution from Vegetation Fires and Extreme Heat on Mortality in Upper Northern Thailand. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:9945-9953. [PMID: 38806168 PMCID: PMC11171450 DOI: 10.1021/acs.est.3c08074] [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: 09/29/2023] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/30/2024]
Abstract
Background: understanding the effects of coexposure to compound extreme events, such as air pollution and extreme heat, is important for reducing current and future health burdens. This study investigated the independent and synergistic effects of exposure to air pollution from vegetation fires and extreme heat on all-cause mortality in Upper Northern Thailand. Methods: we used a time-stratified case-crossover study design with a conditional quasi-Poisson model to examine the association between mortality and coexposure to air pollution due to vegetation fire events (fire-PM2.5) and extreme heat. Extreme heat days were defined using the 90th and 99th percentile thresholds for daily maximum temperature. Results: we observed a significant positive excess risk of mortality due to independent exposure to fire-PM2.5 and extreme heat, but not an interactive effect. All-cause mortality risk increased by 0.9% (95% confidence interval (CI): 0.1, 1.8) for each 10 μg/m3 increase in fire-PM2.5 on the same day and by 12.8% (95% CI: 10.5, 15.1) on extreme heat days (90th percentile) relative to nonextreme heat days. Conclusion: this study showed that exposure to PM2.5 from vegetation fires and extreme heat independently increased all-cause mortality risk in UNT. However, there was no evidence of a synergistic effect of these events.
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Affiliation(s)
- Athicha Uttajug
- Department
of Hygiene, Graduate School of Medicine, Hokkaido University, Hokkaido 060-8638, Japan
| | - Xerxes Seposo
- Department
of Hygiene, Graduate School of Medicine, Hokkaido University, Hokkaido 060-8638, Japan
| | - Arthit Phosri
- Department
of Environmental Health Sciences, Faculty of Public HealthBangkok, Mahidol University, Bangkok 10400, Thailand
| | - Vera Ling Hui Phung
- Department
of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan
| | | | - Kayo Ueda
- Department
of Hygiene, Graduate School of Medicine, Hokkaido University, Hokkaido 060-8638, Japan
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Yan M, Li T. A Review of the Interactive Effects of Climate and Air Pollution on Human Health in China. Curr Environ Health Rep 2024; 11:102-108. [PMID: 38351403 DOI: 10.1007/s40572-024-00432-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2024] [Indexed: 05/12/2024]
Abstract
PURPOSE OF REVIEW Through a systematic search of peer-reviewed epidemiologic studies, we reviewed the literature on the human health impacts of climate and ambient air pollution, focusing on recently published studies in China. Selected previous literature is discussed where relevant in tracing the origins. RECENT FINDINGS Climate variables and air pollution have a complex interplay in affecting human health. The bulk of the literature we reviewed focuses on the air pollutants ozone and fine particulate matter and temperatures (including hot and cold extremes). The interaction between temperature and ozone presented substantial interaction, but evidence about the interactive effects of temperature with other air pollutants is inconsistent. Most included studies used a time-series design, usually with daily mean temperature and air pollutant concentration as independent variables. Still, more needs to be studied about the co-occurrence of climate and air pollution. The co-occurrence of extreme climate and air pollution events is likely to become an increasing health risk in China and many parts of the world as climate changes. Climate change can interact with air pollution exposure to amplify risks to human health. Challenges and opportunities to assess the combined effect of climate variables and air pollution on human health are discussed in this review. Implications from epidemiological studies for implementing coordinated measures and policies for addressing climate change and air pollution will be critical areas of future work.
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Affiliation(s)
- Meilin Yan
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, China
| | - Tiantian Li
- CDC Key Laboratory of Environment and Population Health, Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, China.
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Rosario CS, Urrutia-Pereira M, Murrieta-Aguttes M, D’Amato G, Chong-Silva DC, Godoi RHM, Rosario Filho NA. Air pollution and rhinitis. FRONTIERS IN ALLERGY 2024; 5:1387525. [PMID: 38863567 PMCID: PMC11166029 DOI: 10.3389/falgy.2024.1387525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 05/15/2024] [Indexed: 06/13/2024] Open
Abstract
Rhinitis arises from either allergic or non-allergic inflammation of the nasal mucosa, characterized by the infiltration of inflammatory cells into the tissue and nasal secretions, along with structural alterations in the nasal mucosa. The pathways through which air pollution affects rhinitis may diverge from those affecting asthma. This article aims to review the effects of diverse air pollutants on the nose, the correlation of climate change and pollution, and how they aggravate the symptoms of patients with rhinitis.
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Affiliation(s)
| | | | | | - Gennaro D’Amato
- Division of Respiratory and Allergic Diseases, Department of Chest Diseases, High Speciality Hospital “A. Cardarelli”, Naples, Italy
- Medical School of Specialization in Respiratory Diseases, Federico II University of Naples, Naples, Italy
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Scussiatto HO, Wroblewski KE, Pagel KL, Schumm LP, McClintock MK, Ramanathan M, Suh HH, Pinto JM. Air pollution exposure is associated with rhinitis in older US adults via specific immune mechanisms. Int Forum Allergy Rhinol 2024; 14:68-77. [PMID: 37357822 DOI: 10.1002/alr.23225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/09/2023] [Accepted: 06/21/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Pathophysiology of rhinitis in older adults is largely unknown. We tested whether air pollution is associated with this condition and how immune mechanisms may play a role in this relationship. METHODS We analyzed cross-sectional data from the National Social Life, Health, and Aging Project, a nationally representative study of older adults born between 1920 and 1947. Particulate matter ≤2.5 μm (PM2.5 ) air pollution exposure estimates were generated using validated spatiotemporal models. Presence of rhinitis was defined based on medication use (≥1: intranasal medications: steroids, antihistamines, lubricants, and/or decongestants, and/or oral medications: antihistamines and/or decongestants). K-means cluster analysis (Jaccard method) was used to group 13 peripheral blood cytokines into 3 clusters to facilitate functional determination. We fitted multivariate logistic regressions to correlate PM2.5 exposure with presence of rhinitis, controlling for confounders, and then determined the role of cytokines in this relationship. RESULTS Long- (but not short-) term exposure to PM2.5 was associated with presence of rhinitis: 3-year exposure window, odds ratio (OR) = 1.32, 95% confidence interval (CI): 0.98, 1.80, per 1 standard deviation (SD) PM2.5 increase. Inclusion of cytokine cluster in the model led to a modestly stronger effect of PM2.5 exposure on rhinitis (OR = 1.37; 95% CI: 1.00, 1.87; 3-year exposure window). The particular immune profile responsible for this result was composed of elevated IL-3, IL-12, and IFN-γ (OR = 4.86, 95% CI: 1.10, 21.58, immune profile-PM2.5 exposure interaction term). CONCLUSION We show for the first time that IL-3, IL-12, and IFN-γ explain in part the relationship between PM2.5 exposure and rhinitis in older US adults. If confirmed, these immune pathways may be used as therapeutic targets.
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Affiliation(s)
| | - Kristen E Wroblewski
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA
| | - Kristina L Pagel
- Department of Social and Behavioral Sciences, Colorado Mesa University, Grand Junction, Colorado, USA
| | - L Phillip Schumm
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA
| | - Martha K McClintock
- Department of Comparative Human Development, The University of Chicago, Chicago, Illinois, USA
| | - Murray Ramanathan
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Helen H Suh
- Department of Civil and Environmental Engineering, Tufts University, Boston, Massachusetts, USA
| | - Jayant M Pinto
- Section of Otolaryngology-Head and Neck Surgery, The University of Chicago, Chicago, Illinois, USA
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5
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Lu C, Li Q, Qiao Z, Liu Q, Wang F. Effects of pre-natal and post-natal exposures to air pollution on onset and recurrence of childhood otitis media. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132254. [PMID: 37572606 DOI: 10.1016/j.jhazmat.2023.132254] [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: 07/05/2023] [Revised: 08/01/2023] [Accepted: 08/07/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Despite mounting evidence linking outdoor air pollution with otitis media (OM), the role of air pollutant(s) exposure during which critical window(s) on childhood OM remains unknown. OBJECTIVES We sought to identify the key air pollutant(s) and critical window(s) associated with the onset and recurrent attacks of OM in kindergarten children. METHODS A combined cross-sectional and retrospective cohort study involving 8689 preschoolers aged 3-6 years was performed in Changsha, China. From 2013-2020, data on air pollutants were collected from ambient air quality monitoring stations in Changsha, and the exposure concentration to each child at their home address was calculated using the inverse distance weighted (IDW) method. The relationship between air pollution and OM in kindergarten children was studied using multiple logistic regression models. RESULTS Childhood lifetime OM was associated with PM2.5, SO2 and NO2, with ORs (95% CI) of 1.43 (1.19-1.71), 1.18 (1.01-1.37) and 1.18 (1.00-1.39) by per IQR increase in utero exposure and with PM2.5, PM2.5-10 and PM10, with ORs = 1.15 (1.00-1.32), 1.25 (1.13-1.40) and 1.49 (1.28-1.74) for entire post-natal exposure, respectively. The 2nd trimester in utero and the post-natal period, especially the 1st year, were key exposure time windows to PM2.5 and PM10 associated with lifetime OM and the onset of OM. Similarly, the 4th gestational month was a critical window for all pollutants except CO exposure in relation to lifetime OM and OM onset, but not recurrent OM attacks. PM2.5 exposure during the nine gestational months and PM10 exposure during the first three years had cumulative effects on OM development. Our subgroup analysis revealed that certain children were more susceptible to the OM risk posed by air pollution. CONCLUSIONS Early-life exposure to air pollution, particularly PM2.5 during the middle of gestation and PM10 during the early post-natal period, was associated with childhood OM.
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Affiliation(s)
- Chan Lu
- XiangYa School of Public Health, Central South University, Changsha 410028, China.
| | - Qin Li
- XiangYa School of Public Health, Central South University, Changsha 410028, China
| | - Zipeng Qiao
- XiangYa School of Public Health, Central South University, Changsha 410028, China
| | - Qin Liu
- XiangYa School of Public Health, Central South University, Changsha 410028, China
| | - Faming Wang
- Division of Animal and Human Health Engineering, Department of Biosystems, KU Leuven, Leuven 3001, Belgium
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Ji J, Chen K, Dong J, Yu H, Zhang Y. Associations between air pollution and outpatient visits for allergic rhinitis in Lanzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:91453-91465. [PMID: 37479938 DOI: 10.1007/s11356-023-28457-1] [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: 10/18/2022] [Accepted: 06/23/2023] [Indexed: 07/23/2023]
Abstract
There is emerging evidence indicating that short-term exposure to air pollution is associated with the development and occurrence of allergic rhinitis (AR), but limited studies have been conducted in China, and their results were inconsistent. So, quasi-Poisson time series regressions with distributed lag non-linear models (DLNM) were applied to evaluate the lag association between six air pollutants and daily outpatient visits for AR in Lanzhou, China, from January 1, 2014, to December 31, 2019. Stratified analyses were further performed by gender, age, and season. Overall, we found that short-term exposure to air pollutants including PM2.5, PM10, SO2, NO2, O38h, and CO was significantly associated with an increased risk of AR outpatient visits. The strongest associations were observed at a lag of 0-7 days for PM2.5 (relative risk [RR] = 1.035, 95% confidence intervals [CI]: 1.019-1.052), PM10 (RR = 1.006, 95% CI: 1.002-1.011), at a lag of 0-2 days for SO2 (RR = 1.048, 95% CI: 1.017-1.081), NO2 (RR = 1.025, 95% CI: 1.010-1.041), at a lag of 0-6 days for O38h (RR = 1.028, 95% CI: 1.016-1.041), and at a lag of 0-7 days for CO (RR = 1.128, 95% CI: 1.054-1.206). Stratified analyses indicated that males and adults (15-59 years old) appeared to be more sensitive to PM2.5, SO2, NO2, O38h, and CO exposure than females and those in other age groups. The effect of CO exposure was statistically significant in all subgroups. Associations between PM2.5, PM10, NO2, and O38h and AR outpatients were more pronounced in the warm season than in the cold season. The influences of PM2.5, PM10, SO2, NO2, O38h, and CO were found to be significantly relevant to AR-associated outpatient. Different pollutants played different roles for different genders, ages, and seasons.
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Affiliation(s)
- Jie Ji
- Department of Otorhinolaryngology Head and Neck Surgery, The First People's Hospital of Lanzhou, Lanzhou, 730000, People's Republic of China.
| | - Kangbing Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Hushan Yu
- Department of Otorhinolaryngology Head and Neck Surgery, The First People's Hospital of Lanzhou, Lanzhou, 730000, People's Republic of China
| | - Yanxia Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, The First People's Hospital of Lanzhou, Lanzhou, 730000, People's Republic of China
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Zhao Y, Sun Z, Xiang L, An X, Hou X, Shang J, Han L, Ye C. Effects of pollen concentration on allergic rhinitis in children: A retrospective study from Beijing, a Chinese megacity. ENVIRONMENTAL RESEARCH 2023; 229:115903. [PMID: 37080269 DOI: 10.1016/j.envres.2023.115903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/30/2023] [Accepted: 04/12/2023] [Indexed: 05/03/2023]
Abstract
With global climate change and rapid urbanization, the prevalence of allergic diseases caused by pollen is rising dramatically worldwide with unprecedented complexity and severity, especially for children in mega-cities. However, because of the lack of long time-series pollen concentrations data, the accurate evaluation of the impact of pollen on allergic rhinitis (AR) was scarce in the Chinese metropolis. A generalized additive model was used to assess the effect of pollen concentration on pediatric AR outpatient visits in Beijing from 2014 to 2019. A stratified analysis of 10 pollen species and age-gender-specific groups was also conducted during the spring and summer-autumn peak pollen periods separately. Positive associations between pollen concentration and pediatric AR varied with the season and pollen species were detected. Although the average daily pollen concentration is higher during the spring tree pollen peak, the influence was stronger at the summer-autumn weed pollen peak with the maximum relative risk 1.010 (95% CI 1.009, 1.011), which was higher than the greatest relative risk, 1.003 (95% CI 1.002, 1.004) in the spring peak. The significant adverse effects can be sustained to lag10 during the study period, and longer in the summer-autumn peak (lag13) than in the spring peak (lag8). There are thresholds for the health effects and they varied between seasons. The significant effect appeared when the pollen concentration was higher than 3.74 × 105 grain·m-2·d-1 during the spring tree pollen peaks and 4.70 × 104 grain·m-2·d-1 during the summer-autumn weed pollen peaks. The stratified results suggested that the species-specific effects were heterogeneous. It further highlights that enough attention should be paid to the problem of pollen allergy in children, especially school-aged children aged 7-18 years and weed pollen in the summer-autumn peak pollen period. These findings provide a more accurate reference for the rational coordination of medical resources and improvement of public health.
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Affiliation(s)
- Yuxin Zhao
- Nanjing University of Information Science & Technology, School of Atmospheric Physics Nanjing, 210044, Jiangsu Province, China; State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
| | - Zhaobin Sun
- State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
| | - Li Xiang
- Children's National Medical Center, Department of Anaphylaxis, Beijing Children's Hospital- Capital Medical University, Key Laboratory of Pediatric Major Diseases-Ministry of Education, National Clinical Medical Research Center for Respiratory Diseases, Beijing, 100045, China.
| | - Xingqin An
- State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
| | - Xiaoling Hou
- Children's National Medical Center, Department of Anaphylaxis, Beijing Children's Hospital- Capital Medical University, Key Laboratory of Pediatric Major Diseases-Ministry of Education, National Clinical Medical Research Center for Respiratory Diseases, Beijing, 100045, China
| | - Jing Shang
- Key Laboratory of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
| | - Ling Han
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Caihua Ye
- Beijing Meteorological Service Center, Beijing Meteorological Bureau, Beijing, 100089, China
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Gan T, Bambrick H, Tong S, Hu W. Air pollution and liver cancer: A systematic review. J Environ Sci (China) 2023; 126:817-826. [PMID: 36503807 DOI: 10.1016/j.jes.2022.05.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 06/17/2023]
Abstract
Air pollution has previously been linked to several adverse health outcomes, but the potential association between air pollution and liver cancer remains unclear. We searched PubMed, EMBASE, and Web of Science from inception to 10 October 2021, and manually reviewed the references of relevant papers to further identify any related literature investigating possible associations between air pollution and liver cancer. Risk estimates values were represented by statistical associations based on quantitative analyses. A total of 13 cohort studies obtained from 11 articles were included, with 10,961,717 participants. PM2.5 was the most frequently examined pollutant (included in 11 studies), followed by NO2 and NOx (included in 6 studies), and fewer studies focused on other pollutants (PM2.5 absorbance, PM10, PM2.5-10, O3, and BC). In all the 16 associations for liver cancer mortality, 14 associations reported the effect of PM2.5 on liver cancer mortality. Eight associations on PM2.5 were significant, showing a suggestive association between PM2.5 and liver cancer mortality. Among 24 associations shown by risk estimates for liver cancer incidence, most associations were not statistically significant. For other air pollutants, no positive associations were presented in these studies. PM2.5 was the most frequently examined pollutant, followed by NO2 and NOx, and fewer studies focused on other pollutants. PM2.5 was associated with liver cancer mortality, but there was no association for other air pollutants. Future research should use advanced statistical methods to further assess the impact of multiple air pollutants on liver cancer in the changing socio-environmental context.
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Affiliation(s)
- Ting Gan
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia
| | - Hilary Bambrick
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia; National Centre for Epidemiology and Population Health, Australian National University, Australian Capital Territory 2601, Australia
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia; Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Wenbiao Hu
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia.
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Huang Y, Wang Y, Zhang T, Wang P, Huang L, Guo Y. Exploring Health Effects under Specific Causes of Mortality Based on 90 Definitions of PM 2.5 and Cold Spell Combined Exposure in Shanghai, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:2423-2434. [PMID: 36724352 DOI: 10.1021/acs.est.2c06461] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In this study, a total of 90 definitions were set up based on six air pollution definitions, five cold spell definitions, and three combined exposure scenarios. The relative risks (RRs) on all-cause, circulatory, and respiratory mortality were explored by a model combining a distributed linear lag model with quasi-Poisson regression. The definition in which daily PM2.5 increases more than 75 μg/m3 for at least 2 days and the average temperature falls below the 10th percentile for at least 2 days produced the best model fit performance in all-cause mortality. The high peaks of the health effect were generally observed around the lag days 6-9. The cumulative relative risks (CRRs) were more significant in the simultaneous-exposure scenario and higher in respiratory mortality, where the highest CRR (12.15, 3.69-40.03) was observed in definition P1T5, in which daily PM2.5 increases more than 75 μg/m3, and the average temperature falls below the 2.5th percentile for at least two days. For relative risk due to interaction (RERI), we found positive additive interactions (RERI > 0) between PM2.5 pollution and cold spell, especially in respiratory mortality. Clarifying the definition of combined events can help policymakers to capture health risks and construct more effective risk warning systems.
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Affiliation(s)
- Yujia Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yiyi Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Peng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public and Preventive Medicine, Monash University, Melbourne 3004, VIC, Australia
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Jackson CM, Kaplan AN, Järvinen KM. Environmental Exposures may Hold the Key; Impact of Air Pollution, Greenness, and Rural/Farm Lifestyle on Allergic Outcomes. Curr Allergy Asthma Rep 2023; 23:77-91. [PMID: 36609951 PMCID: PMC9932951 DOI: 10.1007/s11882-022-01061-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2022] [Indexed: 01/09/2023]
Abstract
PURPOSE OF REVIEW There has been an increased prevalence of allergy. Due to this relatively rapid rise, changes in environmental exposures are likely the main contributor. In this review, we highlight literature from the last 3 years pertaining to the role of air pollution, greenness, and the rural/farm lifestyle and their association with the development of allergic sensitization, atopic dermatitis, food allergy, and allergic rhinitis in infancy and childhood. Because asthma has a more complex pathophysiology, it was excluded from this review. RECENT FINDINGS Recent studies support a role for air pollution, greenness, and rural/farming lifestyle influencing atopic outcomes that continue to be defined. While many studies have examined singular environmental exposures, the interconnectedness of these exposures and others points to a need for future work to consider an individual's whole exposure. Environmental exposures' influence on atopic disease development remains an ongoing and important area of study.
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Affiliation(s)
- Courtney M Jackson
- Division of Allergy and Immunology, Center for Food Allergy, Department of Pediatrics, School of Medicine and Dentistry, University of Rochester, Golisano Children's Hospital, 601 Elmwood Ave. Box 777, Rochester, NY, 14642, USA
| | - Alexandra N Kaplan
- Division of Allergy and Immunology, Center for Food Allergy, Department of Pediatrics, School of Medicine and Dentistry, University of Rochester, Golisano Children's Hospital, 601 Elmwood Ave. Box 777, Rochester, NY, 14642, USA
| | - Kirsi M Järvinen
- Division of Allergy and Immunology, Center for Food Allergy, Department of Pediatrics, School of Medicine and Dentistry, University of Rochester, Golisano Children's Hospital, 601 Elmwood Ave. Box 777, Rochester, NY, 14642, USA.
- Division of Allergy, Immunology, and Rheumatology, Department of Medicine, School of Medicine and Dentistry, University of Rochester, 601 Elmwood Ave. Box 777, Rochester, NY, 14642, USA.
- Department of Microbiology and Immunology, School of Medicine and Dentistry, University of Rochester, 601 Elmwood Ave. Box 777, Rochester, NY, 14642, USA.
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11
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Chung CY, Yang J, Yang X, He J. Mathematical modeling in the health risk assessment of air pollution-related disease burden in China: A review. Front Public Health 2022; 10:1060153. [PMID: 36504933 PMCID: PMC9727382 DOI: 10.3389/fpubh.2022.1060153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/08/2022] [Indexed: 11/24/2022] Open
Abstract
This review paper covers an overview of air pollution-related disease burden in China and a literature review on the previous studies which have recently adopted a mathematical modeling approach to demonstrate the relative risk (RR) of air pollution-related disease burden. The associations between air pollution and disease burden have been explored in the previous studies. Therefore, it is necessary to quantify the impact of long-term exposure to ambient air pollution by using a suitable mathematical model. The most common way of estimating the health risk attributable to air pollution exposure in a population is by employing a concentration-response function, which is often based on the estimation of a RR model. As most of the regions in China are experiencing rapid urbanization and industrialization, the resulting high ambient air pollution is influencing more residents, which also increases the disease burden in the population. The existing RR models, including the integrated exposure-response (IER) model and the global exposure mortality model (GEMM), are critically reviewed to provide an understanding of the current status of mathematical modeling in the air pollution-related health risk assessment. The performances of different RR models in the mortality estimation of disease are also studied and compared in this paper. Furthermore, the limitations of the existing RR models are pointed out and discussed. Consequently, there is a need to develop a more suitable RR model to accurately estimate the disease burden attributable to air pollution in China, which contributes to one of the key steps in the health risk assessment. By using an updated RR model in the health risk assessment, the estimated mortality risk due to the impacts of environment such as air pollution and seasonal temperature variation could provide a more realistic and reliable information regarding the mortality data of the region, which would help the regional and national policymakers for intensifying their efforts on the improvement of air quality and the management of air pollution-related disease burden.
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Affiliation(s)
- Chee Yap Chung
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China,*Correspondence: Chee Yap Chung
| | - Jie Yang
- Department of Mathematics, University of Hull, Hull, United Kingdom
| | - Xiaogang Yang
- Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China,Xiaogang Yang
| | - Jun He
- Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China
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Luo X, Hong H, Lu Y, Deng S, Wu N, Zhou Q, Chen Z, Feng P, Zhou Y, Tao J, Dai M, Zhang K, Zhang P, Li Y, Xiong G, Cheng Y, Su J, Li T, Chen J, Chao M, Liang G, Wu Q, Zhou M, Zheng R, Wu S, Zhang Y, Huang X, Yin L, Liu Z, Lu H, Yang Q. Impact of air pollution and meteorological factors on incidence of allergic rhinitis: A low-latitude multi-city study in China. Allergy 2022. [PMID: 35924735 DOI: 10.1111/all.15469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/20/2022] [Accepted: 08/02/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Xin Luo
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Haiyu Hong
- Department of Otolaryngology, Allergy Center, The Fifth Affiliated Hospital of Sun Yat-sen University, 519000, Zhuhai, China
| | - Yongtian Lu
- Department of Ear Nose Throat (ENT), Second People's Hospital of Shenzhen, First Affiliated Hospital of Shenzhen University, 518037, Shenzhen, China
| | - Shumin Deng
- Department of Clinical Data Center, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China
| | - Naigeng Wu
- Guangdong Ecological Meteorological Center, 510640, Guangzhou, China
| | - Qilin Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Zhuanggui Chen
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Peiying Feng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Dermatology, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Yuqi Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Jin Tao
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Gastroenterol, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Min Dai
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Traditional Chinese Medicine, The Third Affiliated Hospital of Sun Yat-sen University, 510630, Guangzhou, China
| | - Kun Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Traditional Chinese Medicine, The Third Affiliated Hospital of Sun Yat-sen University, 510630, Guangzhou, China
| | - Pingping Zhang
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Yating Li
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Guowei Xiong
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Yun Cheng
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Jing Su
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Tingyuan Li
- Guangdong Ecological Meteorological Center, 510640, Guangzhou, China
| | - Jingyang Chen
- Guangdong Ecological Meteorological Center, 510640, Guangzhou, China
| | - Manhou Chao
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Guixian Liang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Qingwu Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Min Zhou
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Rui Zheng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Shuo Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Yana Zhang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Xuekun Huang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
| | - Lin Yin
- Department of Information, The Third Affiliated Hospital of Sun Yat-sen University, 510630, Guangzhou, China
| | - Zifeng Liu
- Department of Clinical Data Center, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China
| | - Huanping Lu
- Guangdong Ecological Meteorological Center, 510640, Guangzhou, China
| | - Qintai Yang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China.,Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, 510630, Guangzhou, China
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