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Niu Z, Fang X, Sun J, Du S, Tang H, Shao W, Chen T, Nie J, Yu Z, Yao X, Niu X, Norback D, Zhang X, Lu C, Zhang L, Yu W, Zheng X, Wang T, Prapamontol T, Wang J, Xu Y, Deng Q, Zhao Z. Exposure to Anthropogenic Heat Was Associated with the Increased Risks of Respiratory Allergy Symptoms in Preschool Children: A New Insight into the Urban Heat Island Effect. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025. [PMID: 40490877 DOI: 10.1021/acs.est.5c02190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2025]
Abstract
Anthropogenic heat (AH) exerts a substantial influence on the local urban climate and intensifies the urban heat island (UHI) effect. However, the impact of AH exposure on respiratory allergy symptoms in preschool children has not been investigated. This study conducted a cross-sectional study of 39088 Chinese preschool children to investigate the associations between multisource AH exposure (building heat, industrial heat, metabolic heat, transportation heat, and total heat) and the risks of respiratory allergy symptoms (wheezing, night-cough, and rhinitis). Exposure to higher levels of AH was associated with increased risks of wheezing (building heat, transportation heat, and total heat), night-cough (building heat), and rhinitis (building heat, metabolic heat, transportation heat, and total heat) symptoms. Exposure-response relationships demonstrated positive relationships between AH with wheezing, night-cough, and rhinitis symptoms, with nearly linear and inverted "J" shapes. Building heat contributed most to the impact of multisource AH on wheezing, night-cough, and rhinitis symptoms, with weighted quantile sum weights ranging from 0.513 to 0.887. Our study provided new epidemiological insights into the impact of the UHI effect on childhood respiratory allergies and highlighted that mitigating AH exposure, specifically from building heat, could be an effective strategy for reducing the disease burden of respiratory allergies in children.
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Affiliation(s)
- Zhiping Niu
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Xinyi Fang
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jin Sun
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Shuang Du
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Hao Tang
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Wenpu Shao
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Tianyi Chen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jing Nie
- Population Research Institute, Nanjing University of Posts and Telecommunications, Nanjing 210042, China
| | - Zhaowu Yu
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Xihan Yao
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Xueling Niu
- Power China Northwest Engineering Corporation Limited, Xi'an 710000, China
| | - Dan Norback
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala 75185, Sweden
| | - Xin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, Shanxi, China
| | - Chan Lu
- Department of Occupational and Environmental Health, XiangYa School of Public Health, Central South University, Changsha 410078, China
- FuRong Laboratory, Changsha 410078, Hunan, China
- Hunan Provincial Key Laboratory of Low Carbon Healthy Building, Central South University, Changsha 410083, China
| | - Ling Zhang
- Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Wei Yu
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing 211189, China
| | - Tingting Wang
- School of Nursing & Health Management, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Tippawan Prapamontol
- Research Institute for Health Sciences, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Juan Wang
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala 75185, Sweden
- Department of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala 75185, Sweden
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Qihong Deng
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China
- IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China
- WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai 200438, China
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Du S, Tang H, Chen H, Shen Y, Niu Z, Chen T, Wei J, Meng X, Su W, Wu Q, Tan Y, Cai J, Zhao Z. Association of multiple environmental exposures with rhinitis and asthma symptoms in preschool children: Identifying critical risk factor. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2025; 289:117490. [PMID: 39667320 DOI: 10.1016/j.ecoenv.2024.117490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Revised: 12/02/2024] [Accepted: 12/04/2024] [Indexed: 12/14/2024]
Abstract
BACKGROUND The concept "one airway, one disease" for childhood rhinitis and asthma has been challenged in recent years. This study aimed to evaluate associations of environmental exposures with alone and co-morbid symptoms of rhinitis and asthma and identify critical risk factor. METHODS 5828 children aged 3-6 years in Shanghai were surveyed in 2019. Rhinitis and wheezing symptoms in the past 12 months were collected using questionnaire. 11 outdoor environment exposure factors were assessed by high-resolution spatial-temporal model based on residences. Logistic regression and random forest were applied to evaluate and rank the association of environmental exposure with rhinitis and wheezing symptoms. RESULTS The proportions of children with rhinitis alone, wheezing & rhinitis, and wheezing alone were 37.2 %, 4.6 %, and 2.6 %, respectively. Regression modeling of two exposure factors adjusted for each other showed that PM1, PM2.5 and nighttime light(NTL) remained the robust significant associations with rhinitis alone, whereas NO2 had the robust significant association with wheezing & rhinitis and wheezing alone. Random forest ranking analysis further corroborated the most significant environmental exposure for rhinitis alone was PM1, and for wheezing symptoms (both wheezing & rhinitis and wheezing alone) was NO2. Significant additive and multiplicative interactions were examined between indoor dampness and PM1 exposure on rhinitis alone. CONCLUSION Children's current rhinitis alone was more susceptible to ambient PM1 and PM2.5, while asthmatic wheezing symptom, either with or without rhinitis, was more susceptible to NO2. Co-exposure to indoor dampness and PM1 exposure had synergistic effects on rhinitis alone.
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Affiliation(s)
- Shuang Du
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Hao Tang
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Han Chen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Yang Shen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Zhiping Niu
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Tianyi Chen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Xia Meng
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China
| | - Wen Su
- Department of Pediatrics, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qun Wu
- Department of Pediatrics, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongqiang Tan
- Department of Pediatrics, Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Jing Cai
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment, Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai 200032, China; Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China.
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Yang L, Chen H, Gao H, Wang Y, Chen T, Svartengren M, Norbäck D, Wei J, Zheng X, Zhang L, Lu C, Yu W, Wang T, Ji JS, Meng X, Zhao Z, Zhang X. Prenatal and postnatal early life exposure to greenness and particulate matter of different size fractions in relation to childhood rhinitis - A multi-center study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 938:173402. [PMID: 38797418 DOI: 10.1016/j.scitotenv.2024.173402] [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: 12/20/2023] [Revised: 05/18/2024] [Accepted: 05/19/2024] [Indexed: 05/29/2024]
Abstract
The impact of early life exposure to residential greenness on childhood rhinitis and its interaction with particulate matter (PM) of different size fractions remain inconsistent. Herein, we recruited 40,486 preschool children from randomly selected daycare centers in 7 cities in China from 2019 to 2020, and estimated exposure to residential greenness by the normalized difference vegetation index (NDVI) with a 500 m buffer. Exposure to ambient PM (PM1, PM2.5, and PM10) was evaluated using a satellite-based prediction model (daily, at a resolution of 1 km × 1 km). By mixed-effect logistic regression, NDVI values during pregnancy, in the first (0-1 year old) and the second (1-2 years old) year of life were negatively associated with lifetime rhinitis (LR) and current rhinitis (CR) (P < 0.001). PM in the same time windows was associated with increased risks of LR and CR in children, with smaller size fraction of PM showing greater associations. The negative associations between prenatal and postnatal NDVI and LR and CR in preschool children remained robust after adjusting for concomitant exposure to PM, whereas the associations of postnatal NDVI and rhinitis showed significant interactions with PM. At lower levels of PM, postnatal NDVI remained negatively associated with rhinitis and was partly mediated by PM (10.0-40.9 %), while at higher levels of PM, the negative associations disappeared or even turned positive. The cut-off levels of PM were identified for each size fraction of PM. In conclusion, prenatal exposure to greenness had robust impacts in lowering the risk of childhood rhinitis, while postnatal exposure to greenness depended on the co-exposure levels to PM. This study revealed the complex interplay of greenness and PM on rhinitis in children. The exposure time window in prenatal or postnatal period and postnatal concomitant PM levels played important roles in influencing the associations between greenness, PM and rhinitis.
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Affiliation(s)
- Liu Yang
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China
| | - Han Chen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai 200032, China
| | - Huiyu Gao
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China
| | - Ying Wang
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China
| | - Tianyi Chen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai 200032, China
| | - Magnus Svartengren
- Department of Occupational and Environmental Medicine, Uppsala University Hospital, 751 85 Uppsala, Sweden
| | - Dan Norbäck
- Department of Occupational and Environmental Medicine, Uppsala University Hospital, 751 85 Uppsala, Sweden
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Xiaohong Zheng
- School of Energy & Environment, Southeast University, Nanjing 210096, China
| | - Ling Zhang
- Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Chan Lu
- Department of Occupational and Environmental Health, School of Public Health, Xiangya Medical College, Central South University, Changsha 410078, China
| | - Wei Yu
- Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Chongqing University, Chongqing 400030, China
| | - Tingting Wang
- School of Nursing & Health Management, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Xia Meng
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China.
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China.
| | - Xin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China.
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Schmidt S. An Inflammatory Question? Prenatal Air Pollution, Childhood Allergic Rhinitis, and Healthy Fats. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:74001. [PMID: 39008406 PMCID: PMC11249087 DOI: 10.1289/ehp15219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/11/2024] [Indexed: 07/17/2024]
Abstract
A study of more than 650 toddlers found that two polyunsaturated fatty acids were associated with fewer cases of allergic rhinitis (hay fever) in children who had been exposed prenatally to higher levels of PM2.5.
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Chen H, Meng X, Yu Y, Sun J, Niu Z, Wei J, Zhang L, Lu C, Yu W, Wang T, Zheng X, Norbäck D, Svartengren M, Zhang X, Zhao Z. Greenness and its composition and configuration in association with allergic rhinitis in preschool children. ENVIRONMENTAL RESEARCH 2024; 251:118627. [PMID: 38460662 DOI: 10.1016/j.envres.2024.118627] [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: 12/28/2023] [Revised: 02/23/2024] [Accepted: 03/04/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND Few studies focus on the associations of green space composition and configuration with children's allergic rhinitis (AR). METHODS A multi-center population-based cross-sectional study was performed in 7 cities in mainland of China between 2019 and 2020, recruiting 36,867 preschool children. Information on the current AR symptoms and demographics were collected by questionnaire. Exposure to residential greenness was estimated by Normalized Difference Vegetation Index (NDVI, 1000 m buffer) around the residences. Greenness composition was estimated in 3 main categories: forest, grassland, shrubland. Configuration of each category and total greenness (a spatial resolution of 10 m × 10 m) was estimated by 6 landscape pattern metrics to quantify their area, shape complexity, aggregation, connectivity, and patch density. Exposure to daily ambient particulate matter (PM1, PM2.5 and PM10, a spatial resolution of 1 km × 1 km) was estimated. Multilevel logistic regression models were applied to analyze the associations of greenness and its composition and configuration with AR, and mediation effects by PMs were examined by mediation analysis models. RESULTS The prevalence of self-reported current AR in preschool children was 33.1%. Two indicators of forest, Aggregation Index of forest patches (AIforest) (odds ratio (OR):0.92, 95% Confidential Interval (CI): 0.88-0.97), and Patch Cohesion of forest (COHESIONforest) (OR: 0.93, 95% CI:0.89-0.98) showed significantly negative associations with AR symptoms. Mediation analyses found the associations were partially mediated by PMs. Age, exclusive breastfeed duration and season were the potential effect modifiers. The associations varied across seven cities. CONCLUSION Our findings suggest the inverse associations of the aggregation and connectivity of forest patches surrounding residence addresses with AR symptoms. Since the cross-sectional study only provides associations rather than causation, further studies are needed to confirm our results as well as the underlying mechanisms.
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Affiliation(s)
- Han Chen
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai, 200032, China
| | - Xia Meng
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, 200438, China
| | - Yongfu Yu
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai, 200032, China
| | - Jin Sun
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai, 200032, China
| | - Zhiping Niu
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai, 200032, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Ling Zhang
- Department of Environmental Hygiene and Occupational Medicine, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Chan Lu
- Department of Occupational and Environmental Health, School of Public Health, Xiangya Medical College, Central South University, Changsha, 410078, China
| | - Wei Yu
- Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Chongqing University, Chongqing, 400030, China
| | - Tingting Wang
- School of Nursing & Health Management, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China
| | - Xiaohong Zheng
- School of Energy & Environment, Southeast University, Nanjing, 210096, China
| | - Dan Norbäck
- Department of Occupational and Environmental Medicine, Uppsala University Hospital, 751 85, Uppsala, Sweden
| | - Magnus Svartengren
- Department of Occupational and Environmental Medicine, Uppsala University Hospital, 751 85, Uppsala, Sweden
| | - Xin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan, Shanxi, China.
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, NHC Key Laboratory of Health Technology Assessment (Fudan University), Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, 200438, China.
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Chen T, Shi S, Li X, Zhou L, Yu Y, Cai Y, Wang J, Kan H, Xu Y, Huang C, Tan Y, Meng X, Zhao Z. Improved ambient air quality is associated with decreased prevalence of childhood asthma and infancy shortly after weaning is a sensitive exposure window. Allergy 2024; 79:1166-1179. [PMID: 37458141 DOI: 10.1111/all.15815] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/30/2023] [Accepted: 05/22/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The urban ambient air quality has been largely improved in the past decade. It is unknown whether childhood asthma prevalence is still increasing in ever top-ranking city of Shanghai, whether the improved air quality is beneficial for children's asthma and what time window of exposure plays critical roles. METHODS Using a repeat cross-sectional design, we analyzed the association between early life exposure to particles and wheezing/asthma in each individual and combined surveys in 2011 and 2019, respectively, in 11,825 preschool children in Shanghai. RESULTS A significantly lower prevalence of doctor-diagnosed asthma (DDA) (6.6% vs. 10.5%, p < 0.001) and wheezing (10.5% vs. 23.2%, p < 0.001) was observed in 2019 compared to 2011. Exposure to fine particulate matter (PM2.5), coarse particles (PM2.5-10) and inhalable particles (PM10) was decreased in 2019 by 6.3%, 35.4%, and 44.7% in uterus and 24.3%, 20.2%, and 31.8% in infancy, respectively. Multilevel log-binomial regression analysis showed exposure in infancy had independent association with wheezing/DDA adjusting for exposure in uterus. For each interquartile range (IQR) increase of infancy PM2.5, PM2.5-10 and PM10 exposure, the odds ratios were 1.39 (95% confidence interval (CI): 1.24-1.56), 1.51 (95% CI:1.15-1.98) and 1.53 (95% CI:1.27-1.85) for DDA, respectively. The distributed lag non-linear model showed the sensitive exposure window (SEW) was 5.5-11 months after birth. Stratified analysis showed the SEWs were at or shortly after weaning, but only in those with <6 months of exclusive breastfeeding. CONCLUSIONS Improved ambient PM benefits in decreasing childhood asthma prevalence. We firstly reported the finding of SEW to PM at or closely after weaning on childhood asthma.
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Affiliation(s)
- Tianyi Chen
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Su Shi
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xinyue Li
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lu Zhou
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yongfu Yu
- Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Yunfei Cai
- Department of General Management and Statistics, Shanghai Environment Monitoring Center, Shanghai, China
| | - Jing Wang
- Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Yongqiang Tan
- Department of Pediatrics, Chongming Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Xia Meng
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, the Key Laboratory of Public Health Safety of the Ministry of Education, and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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7
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Chen Y, Guo C, Chung MK, Yi Q, Wang X, Wang Y, Jiang B, Liu Y, Lan M, Lin L, Cai L. The Associations of Prenatal Exposure to Fine Particulate Matter and Its Chemical Components with Allergic Rhinitis in Children and the Modification Effect of Polyunsaturated Fatty Acids: A Birth Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:47010. [PMID: 38630604 PMCID: PMC11060513 DOI: 10.1289/ehp13524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Polyunsaturated fatty acids (PUFAs) have been shown to protect against fine particulate matter < 2.5 μ m in aerodynamic diameter (PM 2.5 )-induced hazards. However, limited evidence is available for respiratory health, particularly in pregnant women and their offspring. OBJECTIVES We aimed to investigate the association of prenatal exposure to PM 2.5 and its chemical components with allergic rhinitis (AR) in children and explore effect modification by maternal erythrocyte PUFAs. METHODS This prospective birth cohort study involved 657 mother-child pairs from Guangzhou, China. Prenatal exposure to residential PM 2.5 mass and its components [black carbon (BC), organic matter (OM), sulfate (SO 4 2 - ), nitrate (NO 3 - ), and ammonium (NH 4 + )] were estimated by an established spatiotemporal model. Maternal erythrocyte PUFAs during pregnancy were measured using gas chromatography. The diagnosis of AR and report of AR symptoms in children were assessed up to 2 years of age. We used Cox regression with the quantile-based g-computation approach to assess the individual and joint effects of PM 2.5 components and examine the modification effects of maternal PUFA levels. RESULTS Approximately 5.33 % and 8.07% of children had AR and related symptoms, respectively. The average concentration of prenatal PM 2.5 was 35.50 ± 5.31 μ g / m 3 . PM 2.5 was positively associated with the risk of developing AR [hazard ratio ( HR ) = 1.85 ; 95% confidence interval (CI): 1.16, 2.96 per 5 μ g / m 3 ] and its symptoms (HR = 1.79 ; 95% CI: 1.22, 2.62 per 5 μ g / m 3 ) after adjustment for confounders. Similar associations were observed between individual PM 2.5 components and AR outcomes. Each quintile change in a mixture of components was associated with an adjusted HR of 3.73 (95% CI: 1.80, 7.73) and 2.69 (95% CI: 1.55, 4.67) for AR and AR symptoms, with BC accounting for the largest contribution. Higher levels of n-3 docosapentaenoic acid and lower levels of n-6 linoleic acid showed alleviating effects on AR symptoms risk associated with exposure to PM 2.5 and its components. CONCLUSION Prenatal exposure to PM 2.5 and its chemical components, particularly BC, was associated with AR/symptoms in early childhood. We highlight that PUFA biomarkers could modify the adverse effects of PM 2.5 on respiratory allergy. https://doi.org/10.1289/EHP13524.
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Affiliation(s)
- Yujing Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Cuihua Guo
- Department of Children Health Care, Dongguan Children’s Hospital, Dongguan, Guangdong, China
| | - Ming Kei Chung
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Quanying Yi
- Department of Children Health Care, Dongguan Children’s Hospital, Dongguan, Guangdong, China
| | - Xin Wang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, Guangdong, China
| | - Yuxuan Wang
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Bibo Jiang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yu Liu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Minyan Lan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lizi Lin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
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Ai S, Liu L, Xue Y, Cheng X, Li M, Deng Q. Prenatal Exposure to Air Pollutants Associated with Allergic Diseases in Children: Which Pollutant, When Exposure, and What Disease? A Systematic Review and Meta-analysis. Clin Rev Allergy Immunol 2024; 66:149-163. [PMID: 38639856 DOI: 10.1007/s12016-024-08987-3] [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: 03/14/2024] [Indexed: 04/20/2024]
Abstract
This systematic review aims to identify the association between prenatal exposure to air pollutants and allergic diseases in children, focusing on specific pollutants, timing of exposure, and associated diseases. We searched PubMed, Scopus, and Web of Science for English articles until May 1, 2023, examining maternal exposure to outdoor air pollutants (PM1, PM2.5, PM10, NO, NO2, SO2, CO, and O3) during pregnancy and child allergic diseases (atopic dermatitis (AD), food allergy (FA), asthma (AT) and allergic rhinitis (AR)/hay fever (HF)). The final 38 eligible studies were included in the meta-analysis. Exposure to PM2.5 and NO2 during pregnancy was associated with the risk of childhood AD, with pooled ORs of 1.34 (95% confidence interval (CI), 1.10-1.63) and 1.10 (95%CI, 1.05-1.15) per 10 µg/m3 increase, respectively. Maternal exposure to PM1, PM2.5, and NO2 with a 10 µg/m3 increase posed a risk for AT, with pooled ORs of 1.34 (95%CI, 1.17-1.54), 1.11 (95%CI, 1.05-1.18), and 1.07 (95%CI, 1.02-1.12), respectively. An increased risk of HF was observed for PM2.5 and NO2 with a 10 µg/m3 increase, with ORs of 1.36 (95%CI, 1.17-1.58) and 1.26 (95%CI, 1.08-1.48), respectively. Traffic-related air pollutants (TRAP), particularly PM2.5 and NO2, throughout pregnancy, pose a pervasive risk for childhood allergies. Different pollutants may induce diverse allergic diseases in children across varying perinatal periods. AT is more likely to be induced by outdoor air pollutants as a health outcome. More research is needed to explore links between air pollution and airway-derived food allergies.
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Affiliation(s)
- Surui Ai
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Le Liu
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Yuan Xue
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaoou Cheng
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Meng Li
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Qihong Deng
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
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Qu Y, Ji S, Sun Q, Zhao F, Li Z, Zhang M, Li Y, Zheng L, Song H, Zhang W, Gu H, Fu H, Zheng X, Cai J, Zhu Y, Cao Z, Lv Y, Shi X. Association of urinary nickel levels with diabetes and fasting blood glucose levels: A nationwide Chinese population-based study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 252:114601. [PMID: 36753970 DOI: 10.1016/j.ecoenv.2023.114601] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
Some epidemiological studies support a relationship between nickel exposure and diabetes in the general population. To address this, we tested the association of nickel exposure with diabetes in 10,890 adults aged ≥ 18 years old from the China National Human Biomonitoring study conducted in 2017-2018. Urinary nickel concentrations and fasting blood glucose (FBG) were measured, and lifestyle and demographic data were collected. Weighted logistic and linear regressions were used to estimate the associations of urinary nickel levels with diabetes prevalence and FBG. Restricted cubic splines (RCS) were used to test for the dose-response relationship. The odd ratio (95% confidence interval [CI]) of diabetes for the highest versus lowest quartiles of urinary nickel concentrations was 1.74 (1.28, 2.36) in the multivariate model (p trend =0.001). Each one-unit increase in log-transformed urinary nickel concentrations was associated with a 0.36 (0.17, 0.55) mmol/L elevation in FBG. The RCS curves showed a monotonically increasing dose-response relationship of urinary nickel with diabetes as well as FBG levels, and then tended to flatten after about 4.75 μg/L of nickel exposure. The nickel-diabetes association was stronger in individuals with lower than those with higher rice consumption (OR: 2.39 vs. 1.72). Our study supports a positive association between nickel exposure and diabetes prevalence in Chinese adults, especially in individuals with lower rice consumption. Further large-scale prospective studies are needed to validate our findings.
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Affiliation(s)
- Yingli Qu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Saisai Ji
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Qi Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Zheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Miao Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Lei Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Wenli Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Hui Fu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Xulin Zheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Jiayi Cai
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Ying Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 7 Panjiayuan Nanli, Chaoyang, Beijing 100021, China.
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Goriainova V, Awada C, Opoku F, Zelikoff JT. Adverse Effects of Black Carbon (BC) Exposure during Pregnancy on Maternal and Fetal Health: A Contemporary Review. TOXICS 2022; 10:toxics10120779. [PMID: 36548612 PMCID: PMC9781396 DOI: 10.3390/toxics10120779] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/26/2022] [Accepted: 12/08/2022] [Indexed: 05/31/2023]
Abstract
Black carbon (BC) is a major component of ambient particulate matter (PM), one of the six Environmental Protection Agency (EPA) Criteria air pollutants. The majority of research on the adverse effects of BC exposure so far has been focused on respiratory and cardiovascular systems in children. Few studies have also explored whether prenatal BC exposure affects the fetus, the placenta and/or the course of pregnancy itself. Thus, this contemporary review seeks to elucidate state-of-the-art research on this understudied topic. Epidemiological studies have shown a correlation between BC and a variety of adverse effects on fetal health, including low birth weight for gestational age and increased risk of preterm birth, as well as cardiometabolic and respiratory system complications following maternal exposure during pregnancy. There is epidemiological evidence suggesting that BC exposure increases the risk of gestational diabetes mellitus, as well as other maternal health issues, such as pregnancy loss, all of which need to be more thoroughly investigated. Adverse placental effects from BC exposure include inflammatory responses, interference with placental iodine uptake, and expression of DNA repair and tumor suppressor genes. Taking into account the differences in BC exposure around the world, as well as interracial disparities and the need to better understand the underlying mechanisms of the health effects associated with prenatal exposure, toxicological research examining the effects of early life exposure to BC is needed.
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