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Williams LA, Haynes D, Sample JM, Lu Z, Hossaini A, McGuinn LA, Hoang TT, Lupo PJ, Scheurer ME. PM2.5, vegetation density, and childhood cancer: a case-control registry-based study from Texas 1995-2011. J Natl Cancer Inst 2024; 116:876-884. [PMID: 38366656 DOI: 10.1093/jnci/djae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/05/2024] [Accepted: 02/09/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Air pollution is positively associated with some childhood cancers, whereas greenness is inversely associated with some adult cancers. The interplay between air pollution and greenness in childhood cancer etiology is unclear. We estimated the association between early-life air pollution and greenness exposure and childhood cancer in Texas (1995 to 2011). METHODS We included 6101 cancer cases and 109 762 controls (aged 0 to 16 years). We linked residential birth address to census tract annual average fine particulate matter <2.5 µg/m³ (PM2.5) and Normalized Difference Vegetation Index (NDVI). We estimated odds ratios (ORs) and 95% confidence intervals (CIs) between PM2.5/NDVI interquartile range increases and cancer. We assessed statistical interaction between PM2.5 and NDVI (likelihood ratio tests). RESULTS Increasing residential early-life PM2.5 exposure was associated with all childhood cancers (OR = 1.10, 95% CI = 1.06 to 1.15), lymphoid leukemias (OR = 1.15, 95% CI = 1.07 to 1.23), Hodgkin lymphomas (OR = 1.27, 95% CI = 1.02 to 1.58), non-Hodgkin lymphomas (OR = 1.24, 95% CI = 1.02 to 1.51), ependymoma (OR = 1.27, 95% CI = 1.01 to 1.60), and others. Increasing NDVI exposure was inversely associated with ependymoma (0- to 4-year-old OR = 0.75, 95% CI = 0.58 to 0.97) and medulloblastoma (OR = 0.75, 95% CI = 0.62 to 0.91) but positively associated with malignant melanoma (OR = 1.75, 95% CI = 1.23 to 2.47) and Langerhans cell histiocytosis (OR = 1.56, 95% CI = 1.07 to 2.28). There was evidence of statistical interaction between NDVI and PM2.5 (P < .04) for all cancers. CONCLUSION Increasing early-life exposure to PM2.5 increased the risk of childhood cancers. NDVI decreased the risk of 2 cancers yet increased the risk of others. These findings highlight the complexity between PM2.5 and NDVI in cancer etiology.
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Affiliation(s)
- Lindsay A Williams
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Brain Tumor Program, University of Minnesota, Minneapolis, MN, USA
| | - David Haynes
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Jeannette M Sample
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Zhanni Lu
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Ali Hossaini
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Laura A McGuinn
- Department of Family Medicine, University of Chicago, Chicago, IL, USA
| | - Thanh T Hoang
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
| | - Philip J Lupo
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
| | - Michael E Scheurer
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
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Mi T, Qiu Z, Li C, Li W, Gao Y, Chen Z, Xu W, Liu Z, Li Q, Jiang M, Liu H, Dai L, Zhan Y. Joint effects of green space and air pollutant exposure on preterm birth: evidence from a nationwide study in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:35149-35160. [PMID: 38727972 DOI: 10.1007/s11356-024-33561-x] [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: 09/25/2023] [Accepted: 04/30/2024] [Indexed: 05/30/2024]
Abstract
An association between green space exposure and preterm birth has been reported. However, evidence on the joint effects of air pollutant and green space exposure on preterm birth from nationwide research is limited in China. Based on a nationwide cohort, this study aims to explore the effect of green space exposure on preterm birth and analyze the joint effects of green space and air pollutant. Logistic regression models were developed to analyze the effects of green space exposure, and interaction effects were evaluated by adding interaction terms between green space and air pollutants. From 2013 to 2019, this study included 2,294,188 records of newborn births, of which 82,921 were preterm births. The results show that for buffer zones with 250 m, 500 m, 1000 m, and 1500 m, every 0.1 unit increase in NDVI exposure was associated with a decrease in the risk of preterm birth by 5.5% (95% CI: 4.6-6.4%), 5.8% (95% CI: 4.9-6.6%), 6.1% (95% CI: 5.3-7.0%), and 5.6% (95% CI: 4.7-6.5%), respectively. Under high-level exposure to air pollutants, high-level NDVI exposure was more strongly negatively correlated with preterm birth than low-level NDVI exposure. High-level green space exposure might mitigate the adverse effect of air pollutants on preterm birth by promoting physical activity, reducing stress, and adsorbing pollutants. Further investigation is needed to explore how green space and air pollution interact and affect preterm birth, in order to improve risk management and provide a reference for newborn health.
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Affiliation(s)
- Tan Mi
- College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Zhimei Qiu
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China
- The Joint Laboratory for Pulmonary Development and Related Diseases, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Chunyuan Li
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, 610065, Sichuan, China
| | - Wenyan Li
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Yuyang Gao
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Zhiyu Chen
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Wenli Xu
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Zhen Liu
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Qi Li
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
| | - Min Jiang
- Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hanmin Liu
- The Joint Laboratory for Pulmonary Development and Related Diseases, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- NHC Key Laboratory of Chronobology, Sichuan University, Chengdu, 610041, Sichuan, China
- Med-X Center for Informatics, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Li Dai
- The Joint Laboratory for Pulmonary Development and Related Diseases, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- National Center for Birth Defects Monitoring, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China
- NHC Key Laboratory of Chronobology, Sichuan University, Chengdu, 610041, Sichuan, China
- Med-X Center for Informatics, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yu Zhan
- College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, 610065, Sichuan, China.
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3
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Meng Q, Mitra S, Del Rosario I, Jerrett M, Janzen C, Devaskar SU, Ritz B. Urinary polycyclic aromatic hydrocarbon metabolites and their association with oxidative stress among pregnant women in Los Angeles. RESEARCH SQUARE 2024:rs.3.rs-4119505. [PMID: 38562764 PMCID: PMC10984082 DOI: 10.21203/rs.3.rs-4119505/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Background Polycyclic aromatic hydrocarbons (PAHs) have been linked to adverse birth outcomes, but few epidemiological studies to date have evaluated associations between urinary PAH metabolites and oxidative stress biomarkers in pregnancy. Methods We measured a total of 7 PAH metabolites and 2 oxidative stress biomarkers (malondialdehyde (MDA), 8-hydroxy-2'-deoxyguanosine (8-OHdG)) in urine samples collected up to three times during pregnancy in 159 women enrolled at antenatal clinics at the University of California Los Angeles during 2016-2019. Using multiple linear regression models, we estimated the percentage change (%) and 95% confidence interval (CI) in 8-OHdG and MDA measured at each sample collection time per doubling of PAH metabolite concentrations. Results Most PAH metabolites were positively associated with both urinary oxidative stress biomarkers, MDA and 8-OHdG, with stronger associations in early and late pregnancy. Women pregnant with male fetuses exhibited slightly larger increases in both MDA and 8-OHdG in association with PAH exposures in early and late pregnancy. Conclusion Urinary OH-PAH biomarkers are associated with increases in oxidative stress during pregnancy, especially in early and late pregnancy. Sex differences in associations between PAH exposures and oxidative stress need to be further explored in the future.
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Affiliation(s)
- Qi Meng
- University of California, Los Angeles
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4
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O'Sharkey K, Meng Q, Mitra S, Paik SA, Liu J, Shen J, Thompson LK, Chow T, Su J, Cockburn M, Weichenthal S, Paulson SE, Jerrett M, Ritz B. Associations between brake and tire wear-related PM 2.5 metal components, particulate oxidative stress potential, and autism spectrum disorder in Southern California. ENVIRONMENT INTERNATIONAL 2024; 185:108573. [PMID: 38484609 DOI: 10.1016/j.envint.2024.108573] [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: 12/27/2023] [Revised: 02/13/2024] [Accepted: 03/08/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Air pollution is a global health concern, with fine particulate matter (PM2.5) constituents posing potential risks to human health, including children's neurodevelopment. Here we investigated associations between exposure during pregnancy and infancy to specific traffic-related PM2.5 components with Autism Spectrum Disorder (ASD) diagnosis. METHODS For exposure assessment, we estimated PM2.5 components related to traffic exposure (Barium [Ba] as a marker of brake dust and Zinc [Zn] as a tire wear marker, Black Carbon [BC]) and oxidative stress potential (OSP) markers (Hydroxyl Radical [OPOH] formation, Dithiothreitol activity [OPDTT], reactive oxygen species [ROS]) modeled with land use regression with co-kriging based on an intensive air monitoring campaign. We assigned exposures to a cohort of 444,651 children born in Southern California between 2016 and 2019, among whom 11,466 ASD cases were diagnosed between 2018 and 2022, Odds ratios (ORs) and 95% confidence intervals (CIs) were obtained with logistic regression for single pollutant and PM2.5 mass co-adjusted models, also adjusting for sociodemographic characteristics. RESULTS Among PM2.5 components, we found the strongest positive association with ASD for our brake wear marker Ba (ORper IQR = 1.29, 95 % CI: 1.24, 1.34). This was followed by an increased risk for all PM2.5 oxidative stress potential markers; the strongest association was with ROS formation (ORper IQR = 1.22, 95 % CI: 1.18, 1.25). PM2.5 mass was linked to ASD in Hispanic and Black children, but not White children, while traffic-related PM2.5 and OSP markers increased ASD risk across all groups. In neighborhoods with the lowest socioeconomic status (SES), associations with ASD were stronger for all examined pollutants compared to higher SES areas. CONCLUSIONS Our findings suggest that brake wear-related PM2.5 and PM2.5 OSP are associated with ASD diagnosis in Southern California. These results suggest that strategies aimed at reducing the public health impacts of PM2.5 need to consider specific sources.
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Affiliation(s)
- Karl O'Sharkey
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Qi Meng
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Sanjali Mitra
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Seung-A Paik
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jonathan Liu
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jiaqi Shen
- Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Laura K Thompson
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA
| | - Ting Chow
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jason Su
- Department of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Myles Cockburn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A0G4, Canada
| | - Susanne E Paulson
- Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, USA.
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5
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Nacher M, Leneuve M, Basurko C, Louis A, Dotou D, Bernard S, Pannechou K, Boudia KM, Osei L, Quet F, Hcini N. Desert dust episodes during pregnancy are associated with increased preterm delivery in French Guiana. Front Public Health 2024; 12:1252040. [PMID: 38481831 PMCID: PMC10933026 DOI: 10.3389/fpubh.2024.1252040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 01/08/2024] [Indexed: 04/26/2024] Open
Abstract
Preterm deliveries are a major multifactorial public health problem in French Guiana. Desert dust episodes have been associated with preterm delivery in Guadeloupe, a territory with similarities to French Guiana. We thus tried to replicate this finding in the context of French Guiana. A retrospective ecological cohort study combined daily PM10 concentration measurements during pregnancy and term at delivery extracted from French Guiana's computerized pregnancy delivery registry. Daily PM10 concentrations during the course of pregnancy were analyzed as mean concentrations and as the proportion of intense dust episodes (≥55 μg PM10/m3). These exposure variables were studied in relation to the outcome of preterm delivery. Overall, 3,321 pregnant women with complete daily PM10 measurements were included, of whom 374 (11.26%) delivered prematurely. Among preterm deliveries, 168 (44.9%) were spontaneous deliveries and 206 (55.1%) were induced. Rank-sum tests showed that, for spontaneous and induced spontaneous deliveries, both mean PM10 concentrations and proportions of intense desert dust episodes were significantly greater among preterm births than among term births. Although the proportion of intense desert dust episodes during pregnancy was significantly associated with spontaneous preterm deliveries, the relation was U-shaped, with an adjusted odds ratio (AOR) = 2 (95%CI = 1.2-3.1) for lowest values relative to median values and AOR = 5.4 (95%CI = 3.2-8.9) for the highest values relative to median values. Similarly, the proportion of intense desert dust episodes during pregnancy was also significantly associated with induced preterm deliveries in a U-shaped manner (AOR = 2.7 (95%CI = 1.6-4.5) for the lowest relative to median values and AOR = 6.8 (95%CI = 3.9-11.9) for the highest relative to median values). Although in our study the relation between PM10 concentrations appeared non-linear, the highest mean concentrations and intense desert dust episodes were indeed associated with both spontaneous and induced preterm delivery.
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Affiliation(s)
- Mathieu Nacher
- CIC INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana
- Amazonian Infrastructures for Population Health, Cayenne, French Guiana
- Département Formation Recherche Santé, Université de Guyane, Cayenne, French Guiana
| | - Malika Leneuve
- CIC INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana
- Amazonian Infrastructures for Population Health, Cayenne, French Guiana
- Service de Gynecologie Obstétrique, Centre Hospitalier de Cayenne, Cayenne, French Guiana
| | - Celia Basurko
- CIC INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana
- Amazonian Infrastructures for Population Health, Cayenne, French Guiana
| | - Alphonse Louis
- Service de Gynecologie Obstétrique, Centre Hospitalier de Cayenne, Cayenne, French Guiana
| | - Dominique Dotou
- Service de Gynecologie Obstétrique, Centre Hospitalier de Cayenne, Cayenne, French Guiana
| | | | | | | | - Lindsay Osei
- Protection Maternelle et Infantile, Cayenne, French Guiana
| | - Fabrice Quet
- CIC INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana
- Amazonian Infrastructures for Population Health, Cayenne, French Guiana
| | - Najeh Hcini
- CIC INSERM 1424, Centre Hospitalier de Cayenne, Cayenne, French Guiana
- Service de Gynécologie obstétrique, Centre Hospitalier de l’Ouest Guyanais, Saint Laurent du Maroni, French Guiana
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Zheng J, Zhang H, Shi J, Li X, Zhang J, Zhang K, Gao Y, He J, Dai J, Wang J. Association of air pollution exposure with overweight or obesity in children and adolescents: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 910:168589. [PMID: 37984657 DOI: 10.1016/j.scitotenv.2023.168589] [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: 06/13/2023] [Revised: 11/12/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023]
Abstract
Childhood overweight and obesity is a global problem. 38 million children under five years old were reported as being overweight/obese in 2019. However, current evidence regarding the effects of air pollution on children weight status remains scarce and inconsistent. This study aimed to determine the association between air pollutants and the weight status of children and adolescents. Four databases were searched up to August 9, 2023. Adjusted merged odds ratios (ORs), regression coefficients (β), and their 95 % confidence intervals (95 % CIs) were calculated and pooled. A total of 27 studies were included. The results showed that air pollutants had adverse effects on the body weight of children and adolescents. Exposure to PM1, PM2.5, PMcoarse, and PM10 were associated with increased risk of overweight/obesity, with pooled ORs (95 % CI) of 1.23 (1.09, 1.40), 1.18 (1.10, 1.28), 1.04 (1.03, 1.05) and 1.11 (1.06, 1.17) per 10 μg/m3 increment, respectively. Individuals with higher exposure levels to NOX, O3, SO2 and CO (per 10 μg/m3 increment) were associated with 12 %, 6 %, 28 % and 1 % increased odds of being overweight/obese, respectively. With respect to the level of body mass index, the pooled β (95 % CIs) for each 10 μg/m3 increase in PM1, PM2.5, PM10, and NOX exposure were 0.15 (0.12, 0.18), 0.11 (0.06, 0.16), 0.07 (0.03, 0.10), and 0.03 (0.01, 0.04), respectively. PM1 has relatively strong adverse effects on body weight status. The subgroup analysis revealed a significantly increase in the risk of overweight/obesity when the concentrations of PM2.5, PM10, and NO2 exceeded 35 μg/m3, 50 μg/m3, and 40 μg/m3, respectively. Exposure to PM2.5, PM10 and NOX increased the risk of overweight/obesity, especially in Asia. This study provides evidence of the association between air pollution and being overweight/obese in children and adolescents.
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Affiliation(s)
- Jingying Zheng
- School of Public Health, Jilin University, Changchun 130021, China
| | - Huiling Zhang
- School of Public Health, Jilin University, Changchun 130021, China
| | - Jianyang Shi
- School of Public Health, Jilin University, Changchun 130021, China
| | - Xin Li
- School of Public Health, Jilin University, Changchun 130021, China
| | - Jing Zhang
- School of Public Health, Jilin University, Changchun 130021, China
| | - Kunlun Zhang
- School of Public Health, Jilin University, Changchun 130021, China
| | - Yameng Gao
- School of Public Health, Jilin University, Changchun 130021, China
| | - Jingtong He
- School of Public Health, Jilin University, Changchun 130021, China
| | - Jianghong Dai
- School of Public Health, Xinjiang Medical University, Xinjiang 834000, China
| | - Juan Wang
- School of Public Health, Jilin University, Changchun 130021, China.
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Ren W, Yang H, Liu W, Zhang S, Yang Y, Yang L, Liu W, Zhang H, He K, Li X, Ge J. Exposure to mixtures of PM 2.5 components and term premature rupture of membranes: a case-crossover study in Shijiazhuang, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38269576 DOI: 10.1080/09603123.2024.2308017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
This study aims to explore the acute effects of short-term exposure to PM2.5 components and their mixture on PROM. Counts of hospital admissions due to PROM were collected at the Fourth Hospital of Shijiazhuang. The associations between the PROM and PM2.5 components was examined using a time-stratified case-crossover approach. The overall effects of components on TPROM were examined using the BKMR. During the study period 30,709 cases of PROMwere identified. The relative risks and the 95% CI of TPROM were 1.013 (1.002, 1.028) and 1.015 (1.003, 1.028) associated with per interquartile range increase in nitrate and ammonium ion on the current day and they were 1.007 (1.001, 1.013) and 1.003 (1.000, 1.005) on the previous day. The results from the BKMR models showed a higher risk of TPROM was associated with exposure to mixtures, in which, nitrate and organic matter were the main contributors to the overall effect.
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Affiliation(s)
- Weiyan Ren
- Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Huangmin Yang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wencong Liu
- Department of Ultrasonics, The First Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shaochong Zhang
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Yanjing Yang
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Lei Yang
- Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Wenxuan Liu
- Hebei Key Laboratory of Environment and Human Health, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Haijuan Zhang
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Ke He
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Xia Li
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
| | - Jun Ge
- Department of Medical Records, Shijiazhuang Fourth Hospital, shijiazhuang, China
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Menon R, Muglia LJ, Levin LH. Review on new approach methods to gain insight into the feto-maternal interface physiology. Front Med (Lausanne) 2023; 10:1304002. [PMID: 38098843 PMCID: PMC10720461 DOI: 10.3389/fmed.2023.1304002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
Non-human animals represent a large and important feature in the history of biomedical research. The validity of their use, in terms of reproducible outcomes and translational confidence to the human situation, as well as ethical concerns surrounding that use, have been and remain controversial topics. Over the last 10 years, the communities developing microphysiological systems (MPS) have produced new approach method (NAMs) such as organoids and organs-on-a-chip. These alternative methodologies have shown indications of greater reliability and translatability than animal use in some areas, represent more humane substitutions for animals in these settings, and - with continued scientific effort - may change the conduct of basic research, clinical studies, safety testing, and drug development. Here, we present an introduction to these more human-relevant methodologies and suggest how a suite of pregnancy associated feto-maternal interface system-oriented NAMs may be integrated as reliable partial-/full animal replacements for investigators, significantly aid animal-/environmental welfare, and improve healthcare outcomes.
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Affiliation(s)
- Ramkumar Menon
- Department of Obstetrics and Gynecology, Division of Basic Science and Translational Research, The University of Texas Medical Branch at Galveston, Galveston, TX, United States
| | - Louis J. Muglia
- The Burroughs Wellcome Fund, Research Triangle Park, NC, United States
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, United States
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Liu K, Kouis P, Nikolopoulos G, Kyprianou T, Nikolaidis K, Scoutellas V, Filippos T, Koutrakis P, Yiallouros P, Papatheodorou S. Ambient climatic factors and term birthweight: A study of critical windows of exposure in the Republic of Cyprus. ENVIRONMENTAL RESEARCH 2023; 237:116885. [PMID: 37607623 PMCID: PMC10592069 DOI: 10.1016/j.envres.2023.116885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/18/2023] [Accepted: 08/12/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Reduced birthweight is associated with adverse perinatal and long-term outcomes. A few studies examined the association between climatic factors and birthweight with inconsistent results probably due to differences in exposure assessment, statistical models, climatic parameters, and study populations. METHODS We obtained data from the Republic of Cyprus birth registry from 2007 to 2020, and matched climatic exposures (i.e., temperature, relative humidity, temperature variability, humidity variability) by the hospital district at birth. We used distributed lag models to examine the association between term birthweight, temperature, humidity, and their variability to identify critical windows. Our models were adjusted for coarse particulate matter level (≤10 μm [PM10), and individual-level covariates. Subgroup analysis was conducted to examine effect modification by maternal age and education. RESULTS We identified two critical windows of exposure to ambient temperature at early and late pregnancy. The cumulative change of birthweight per 5 °C increases in mean weekly temperature was -57.27 (2%) (95% Confidence Interval [CI]: 99.62 (3.1%), -14.92 (0.5%)) and -79.2 (2.5%) (95%CI: 117.03 (3.5%), -41.52 (1.3%)) grams during weeks 1-8 and weeks 28-37, respectively. There was no significant effect of humidity, temperature variability, or humidity variability on birthweight. Based on subgroup analysis, mothers with post-secondary education were more sensitive to temperature, but the marginal significance of differences in effect estimates may be linked with differences in sample size. CONCLUSION Our study suggests that higher ambient temperature exposure during early and late pregnancy is associated with lower birthweight in main and subgroup analysis. The findings demonstrate in a country highly impacted by climate change like Cyprus that rising temperatures may be associated with perinatal outcomes in susceptible populations during sensitive windows of exposure.
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Affiliation(s)
- Kuangyliu Liu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, USA.
| | - Panayiotis Kouis
- Respiratory Physiology Laboratory, Medical School, University of Cyprus, Cyprus.
| | | | | | - Kleanthis Nikolaidis
- Department of Meteorology, Cyprus Ministry of Agriculture, Rural Development and Environment, Cyprus
| | | | - Tymvios Filippos
- Department of Meteorology, Cyprus Ministry of Agriculture, Rural Development and Environment, Cyprus.
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, USA
| | | | - Stefania Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, USA.
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10
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Meng Q, Liu J, Shen J, Del Rosario I, Lakey PS, Shiraiwa M, Su J, Weichenthal S, Zhu Y, Oroumiyeh F, Paulson SE, Jerrett M, Ritz B. Fine Particulate Matter Metal Composition, Oxidative Potential, and Adverse Birth Outcomes in Los Angeles. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:107012. [PMID: 37878796 PMCID: PMC10599636 DOI: 10.1289/ehp12196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 07/11/2023] [Accepted: 09/18/2023] [Indexed: 10/27/2023]
Abstract
BACKGROUND Although many studies have linked prenatal exposure to PM 2.5 to adverse birth outcomes, little is known about the effects of exposure to specific constituents of PM 2.5 or mechanisms that contribute to these outcomes. OBJECTIVES Our objective was to investigate effects of oxidative potential and PM 2.5 metal components from non-exhaust traffic emissions, such as brake and tire wear, on the risk of preterm birth (PTB) and term low birth weight (TLBW). METHODS For a birth cohort of 285,614 singletons born in Los Angeles County, California, in the period 2017-2019, we estimated speciated PM 2.5 exposures modeled from land use regression with cokriging, including brake and tire wear related metals (barium and zinc), black carbon, and three markers of oxidative potential (OP), including modeled reactive oxygen species based on measured iron and copper (ROS), OH formation (OP OH ), and dithiothreitol (DTT) loss (OP DTT ). Using logistic regression, we estimated odds ratios (OR) and 95% confidence intervals (CI) for PTB and TLBW with speciated PM 2.5 exposures and PM 2.5 mass as continuous variables scaled by their interquartile range (IQR). RESULTS For both metals and oxidative potential metrics, we estimated increased risks for PTB (ORs ranging from 1.01 to 1.03) and TLBW (ORs ranging from 1.02 to 1.05) per IQR exposure increment that were robust to adjustment for PM 2.5 mass. Associations for PM 2.5 mass, black carbon, metal components, and oxidative potential (especially ROS and OP OH ) with adverse birth outcomes were stronger in Hispanic, Black, and mixed-race or Native American women. DISCUSSION Our results indicate that exposure to PM 2.5 metals from brake and tire wear and particle components that contribute to oxidative potential were associated with an increased risk of PTB and TLBW in Los Angeles County, particularly among Hispanic, Black, and mixed-race or Native American women. Thus, reduction of PM 2.5 mass only may not be sufficient to protect the most vulnerable pregnant women and children from adverse effects due to traffic source exposures. https://doi.org/10.1289/EHP12196.
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Affiliation(s)
- Qi Meng
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Jonathan Liu
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Jiaqi Shen
- Department of Atmospheric & Oceanic Sciences, UCLA, Los Angeles, California, USA
| | - Irish Del Rosario
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Pascale S.J. Lakey
- Department of Chemistry, University of California, Irvine, Irvine, California, USA
| | - Manabu Shiraiwa
- Department of Chemistry, University of California, Irvine, Irvine, California, USA
| | - Jason Su
- Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Yifang Zhu
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Farzan Oroumiyeh
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Suzanne E. Paulson
- Department of Atmospheric & Oceanic Sciences, UCLA, Los Angeles, California, USA
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
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11
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Margiana R, Yousefi H, Afra A, Agustinus A, Abdelbasset WK, Kuznetsova M, Mansourimoghadam S, Ajam Ekrami H, Mohammadi MJ. The effect of toxic air pollutants on fertility men and women, fetus and birth rate. REVIEWS ON ENVIRONMENTAL HEALTH 2023; 38:565-576. [PMID: 35724665 DOI: 10.1515/reveh-2022-0032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
Human health is affected by various factors such as air pollutants. Exposure to toxic air pollutants is impaired fertility in men and women. The purpose of this review study was investigation of the effect of toxic air pollutants on fertility and birth rate. Databases used to for searched were the PubMed, Web of Science, Springer and Science Direct (Scopus) and Google Scholar. Identify all relevant studies published 1999-2022. In this study, according to databases five hundred articles were retrieved. 33 studies were screened after review and 19 full-text articles entered into the analysis process. Finally, 11 articles were selected in this study. The literature signs a notable health effects from toxic air pollutants and increase risk of infertility in men and women and having a variety of reproductive system cancers such as prostate, bladder, ovary, kidney and uterus. According to the finding toxic air pollutants can increase the risk infertility in men and women, incidence of cancers of reproductive system and decrease the birth rate. Activities that play an important role in reducing the health effects of toxic air pollutants such as infertility in men and women and reducing the population rate of communities are improving the quality of fuel used in the home, car, industries, changing production processes in large industries, installing catalysts to reduce emissions in cars, use more public transportation, plant trees and increase green space per capita, increase public awareness about various effects of toxic air pollutants and protective measures.
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Affiliation(s)
- Ria Margiana
- Department of Anatomy, Faculty of Medicine, Universitas Indonesia, Surabaya, Indonesia
- Andrology Program, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Homayon Yousefi
- Thalassemia & Hemoglobinopathy Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Arghavan Afra
- Department of Nursing, Faculty of Nursing, Abadan University of Medical Sciences, Abadan, Iran
| | - Agustinus Agustinus
- Andrology Program-Department of Biology Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Walid Kamal Abdelbasset
- Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia
- Department of Physical Therapy, Kasr Al-Aini Hospital, Cairo University, Giza, Egypt
| | - Mariya Kuznetsova
- Department of Propaedeutics of Dental Diseases, Sechenov First Moscow State Medical University, Moscow, Russia
| | | | - Hafez Ajam Ekrami
- Student research komiteh, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mohammad Javad Mohammadi
- Department of Environmental Health Engineering, School of Public Health AND Environmental Technology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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12
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Buxton MA, Castillo-Castrejon M, Godines-Enriquez M, Valentín-Cortés M, Morales-Hernández V, de Arellano LMR, Sánchez BN, Osornio-Vargas A, O'Neill MS, Vadillo-Ortega F. The pregnancy research on inflammation, nutrition, & city environment: systematic analyses study (PRINCESA) cohort, 2009-2015. Eur J Epidemiol 2023; 38:1009-1018. [PMID: 37642793 PMCID: PMC10530497 DOI: 10.1007/s10654-023-01040-1] [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: 12/10/2022] [Accepted: 08/02/2023] [Indexed: 08/31/2023]
Abstract
The Pregnancy Research on Inflammation, Nutrition, & City Environment: Systematic Analyses Study (PRINCESA) cohort was set up to evaluate associations between air pollution and birth outcomes among pregnant persons in Mexico City. Specifically, the study was designed to improve air pollution exposure assessment and elucidate biological mechanisms underlying associations between maternal exposures and adverse pregnancy outcomes. Pregnant persons (all women) (N = 935) between ages 18-45 who lived and/or worked in metropolitan Mexico City, Mexico, from 2009 to 2015 and liveborn singleton infants (N = 815) of participants who completed follow-up were enrolled in the cohort. We followed participants monthly from enrollment to delivery and the following categories of data were obtained: demographic, medical and obstetric history, geo-referenced data, repeated measures on daily activity patterns, reported food intake, anthropometric, clinical and obstetric data, 20 serum and 20 cervicovaginal cytokines, and lower reproductive tract infection. Repeated ultrasound measures of fetal parameters and infant birth data are also included in the study's database. In addition, PRINCESA investigators calculated air pollution exposure measures for six pollutants measured by the Mexico City Atmospheric Monitoring System (SIMAT). These estimates utilize participants' addresses to account for spatial variation in exposure (nearest monitor, inverse distance weighting, and kriging) and are available daily during pregnancy for participants. To date, associations between environmental and nutritional impacts on maternal and child health outcomes have been evaluated. PRINCESA has a comprehensive database of maternal and infant data and biological samples and offers collaboration opportunities to study associations between environmental and other factors, including nutrition and pregnancy outcomes.
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Affiliation(s)
- Miatta A Buxton
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Mislael Valentín-Cortés
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Brisa N Sánchez
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Alvaro Osornio-Vargas
- Department of Pediatrics, School of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Marie S O'Neill
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - Felipe Vadillo-Ortega
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Unidad de Vinculación Científica de la Facultad de Medicina, UNAM en el Instituto Nacional de Medicina Genómica, Mexico City, Mexico
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13
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Zheng Y, McElrath T, Cantonwine D, Hu H. Longitudinal Associations between Ambient Air Pollution and Angiogenic Biomarkers among Pregnant Women in the LIFECODES Study, 2006-2008. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:87005. [PMID: 37556304 PMCID: PMC10411633 DOI: 10.1289/ehp11909] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 06/21/2023] [Accepted: 07/12/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND Exposures to ambient air pollution during pregnancy have been linked to adverse pregnancy outcomes such as preeclampsia and fetal growth restriction. Although evidence has shown that women with preeclampsia have higher ratio of soluble fms-like tyrosine kinase 1 to placental growth factor (sFlt-1/PlGF ratio), the potential impact of air pollution on markers of placental growth and function has not been well studied. OBJECTIVES We aimed to examine longitudinal associations between ambient air pollution exposure and angiogenic factors among pregnant women in LIFECODES, a prospective birth cohort and biorepository in Massachusetts in the United States. METHODS PlGF and sFlt-1 were measured among pregnant women using plasma samples collected around 10, 18, 26, and 35 wk' gestation. Women's exposures to ozone (O 3 ), fine particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ), and nitrogen dioxide (NO 2 ) within 1, 2, 4, and 8 wk prior to each plasma sample collection were estimated based on geocoded residential addresses, and mixed effect linear regression models were fitted to assess their associations with sFlt-1/PlGF ratio, sFlt-1 (ng/mL), and PlGF (pg/mL). Percent changes in outcomes associated with each interquartile range increase in exposures were reported, along with their 95% confidence intervals. RESULTS A total of 1,066 pregnant women were included. In the multipollutant models, significant associations were observed for increased sFlt-1/PlGF ratio (PM 2.5 3-8 wk' gestation, NO 2 : 35-39 wk' gestation), elevated sFlt-1 (O 3 : 26-34 wk' gestation, PM 2.5 : 3-8 wk' gestation), decreased sFlt-1 (NO 2 : 4-8 wk' gestation), and decreased PlGF (NO 2 : 34-39 wk' gestation) after adjusting for sociodemographic status, smoking, drinking, body mass index, parity, history of chronic hypertension, and conception time. DISCUSSION Exposures to PM 2.5 during early pregnancy and exposures to O 3 and NO 2 during late pregnancy were associated with increased sFlt-1/PlGF ratio, elevated sFlt-1 and with decreased PlGF, which may be a potential mechanism underlying ambient air pollution's impacts on adverse pregnancy and birth outcomes. https://doi.org/10.1289/EHP11909.
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Affiliation(s)
- Yi Zheng
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Thomas McElrath
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - David Cantonwine
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Hui Hu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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14
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Kaali S, Jack DW, Mujtaba MN, Chillrud SN, Ae-Ngibise KA, Kinney PL, Boamah Kaali E, Gennings C, Colicino E, Osei M, Wylie BJ, Agyei O, Quinn A, Asante KP, Lee AG. Identifying sensitive windows of prenatal household air pollution on birth weight and infant pneumonia risk to inform future interventions. ENVIRONMENT INTERNATIONAL 2023; 178:108062. [PMID: 37392730 PMCID: PMC10911234 DOI: 10.1016/j.envint.2023.108062] [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: 01/25/2023] [Revised: 06/02/2023] [Accepted: 06/22/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND Prenatal household air pollution impairs birth weight and increases pneumonia risk however time-varying associations have not been elucidated and may have implications for the timing of public health interventions. METHODS The Ghana Randomized Air Pollution and Health Study (GRAPHS) enrolled 1,414 pregnant women from Kintampo, Ghana and measured personal carbon monoxide (CO) exposure four times over pregnancy. Birth weight was measured within 72-hours of birth. Fieldworkers performed weekly pneumonia surveillance and referred sick children to study physicians. The primary pneumonia outcome was one or more physician-diagnosed severe pneumonia episode in the first year of life. We employed reverse distributed lag models to examine time-varying associations between prenatal CO exposure and birth weight and infant pneumonia risk. RESULTS Analyses included n = 1,196 mother-infant pairs. In models adjusting for child sex; maternal age, body mass index (BMI), ethnicity and parity at enrollment; household wealth index; number of antenatal visits; and evidence of placental malaria, prenatal CO exposures from 15 to 20 weeks gestation were inversely associated with birth weight. Sex-stratified models identified a similar sensitive window in males and a window at 10-weeks gestation in females. In models adjusting for child sex, maternal age, BMI and ethnicity, household wealth index, gestational age at delivery and average postnatal child CO exposure, CO exposure during 34-39 weeks gestation were positively associated with severe pneumonia risk, especially in females. CONCLUSIONS Household air pollution exposures in mid- and late- gestation are associated with lower birth weight and higher pneumonia risk, respectively. These findings support the urgent need for deployment of clean fuel stove interventions beginning in early pregnancy.
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Affiliation(s)
- Seyram Kaali
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana.
| | - Darby W Jack
- Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, 722 W 168(th) Street, New York, NY 10032, USA
| | - Mohammed N Mujtaba
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana
| | - Steven N Chillrud
- Lamont-Doherty Earth Observatory at Columbia University, Palisades, NY, USA
| | - Kenneth A Ae-Ngibise
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana
| | - Patrick L Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Ellen Boamah Kaali
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Musah Osei
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana
| | - Blair J Wylie
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Oscar Agyei
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana
| | - Ashlinn Quinn
- Berkeley Air Monitoring Group, Fort Collins, CO, USA
| | - Kwaku Poku Asante
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Bono East Region, Kintampo, Ghana
| | - Alison G Lee
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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15
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Liu J, Dai Y, Yuan J, Li R, Hu Y, Su Y. Does exposure to air pollution during different time windows affect pregnancy outcomes of in vitro fertilization treatment? A systematic review and meta-analysis. CHEMOSPHERE 2023:139076. [PMID: 37271467 DOI: 10.1016/j.chemosphere.2023.139076] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 05/21/2023] [Accepted: 05/28/2023] [Indexed: 06/06/2023]
Abstract
Few researches have examined the impact of air pollution exposure during various time windows on clinical outcomes in women receiving in vitro fertilization (IVF) therapy, and the findings of studies have been conflicting. We investigated the effects of six air pollutants exposure during different time windows (period 1, 85 days before egg retrieval to the beginning of gonadotropin; period 2, the beginning of gonadotropin to egg collection; period 3, egg collection to embryo transfer; period 4, embryo transfer to serum hCG measurement; period 5, serum hCG measurement to transvaginal ultrasonography; period 6, 85 days before egg retrieval to hCG measurement; period 7, 85 days before egg retrieval to transvaginal ultrasonography) on clinical outcomes of IVF therapy. A total of seven databases were searched. NO2 (period 6), SO2 (period 2, 3, and 7), CO (period 1, 2 and 7) exposure were linked to lower likelihoods of clinical pregnancy. PM2.5 (period 1), PM10 (period 1), SO2 (period 1, 2, 3, 4, and 6), NO2 (period 1) were linked to lower likelihoods of biochemical pregnancy. PM2.5 (period 1), SO2 (period 2 and 4) and CO (period 2) were linked to reduced probabilities of live birth. Our results implied that period 1 might be the most sensitive exposure window. Air pollution exposure is linked to reduced probabilities of clinical pregnancy, biochemical pregnancy, and live birth. Therefore, preventive measures to limit air pollution exposure should be started at least three months in advance of IVF therapy to improve pregnancy outcomes.
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Affiliation(s)
- Junjie Liu
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Yanpeng Dai
- Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiayi Yuan
- The Neonatal Screening Center in Henan Province, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Runqing Li
- The Neonatal Screening Center in Henan Province, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yaolong Hu
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanhua Su
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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16
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Downward GS, Vermeulen R. Ambient Air Pollution and All-Cause and Cause-Specific Mortality in an Analysis of Asian Cohorts. Res Rep Health Eff Inst 2023; 2016:1-53. [PMID: 37424069 PMCID: PMC7266370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023] Open
Abstract
INTRODUCTION Much of what is currently known about the adverse effects of ambient air pollution comes from studies conducted in high-income regions, with relatively low air pollution levels. The aim of the current project is to examine the relationship between exposure to ambient air pollution (as predicted from satellite-based models) and all-cause and cause-specific mortality in several Asian cohorts. METHODS Cohorts were recruited from the Asia Cohort Consortium (ACC). The geocoded residences of participants were assigned levels of ambient particulate material with aerodynamic diameter of 2.5 μm or less (PM2.5) and nitrogen dioxide (NO2) utilizing global satellite-derived models and assigned for the year of enrollment (or closest available year). The association between ambient exposure and mortality was established with Cox proportional hazard models, after adjustment for common confounders. Both single- and two-pollutant models were generated. Model robustness was evaluated, and hazard ratios were calculated for each cohort separately and combined via random effect meta-analysis for pooled risk estimates. RESULTS Six cohort studies from the ACC participated: the Community-based Cancer Screening Program (CBCSCP, Taiwan), the Golestan Cohort Study (Iran), the Health Effects for Arsenic Longitudinal Study (HEALS, Bangladesh), the Japan Public Health Center-based Prospective Study (JPHC), the Korean Multi-center Cancer Cohort Study (KMCC), and the Mumbai Cohort Study (MCS, India). The cohorts represented over 340,000 participants. Mean exposures to PM2.5 ranged from 8 to 58 μg/m3. Mean exposures to NO2 ranged from 7 to 23 ppb. For PM2.5, a positive, borderline nonsignificant relationship was observed between PM2.5 and cardiovascular mortality. Other relationships with PM2.5 tended toward the null in meta-analysis. For NO2, an overall positive relationship was observed between exposure to NO2 and all cancers and lung cancer. A borderline association between NO2 and nonmalignant lung disease was also observed. The findings within individual cohorts remained consistent across a variety of subgroups and alternative analyses, including two-pollutant models. CONCLUSIONS In a pooled examination of cohort studies across Asia, ambient PM2.5 exposure appears to be associated with an increased risk of cardiovascular mortality and ambient NO2 exposure is associated with an increased cancer (and lung cancer) mortality. This project has shown that satellite-derived models of pollution can be used in examinations of mortality risk in areas with either incomplete or missing air pollution monitoring.
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Affiliation(s)
- G S Downward
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - R Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
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17
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Wilkie AA, Richardson DB, Luben TJ, Serre ML, Woods CG, Daniels JL. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents. Environ Epidemiol 2023; 7:e241. [PMID: 37064422 PMCID: PMC10097570 DOI: 10.1097/ee9.0000000000000241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/05/2023] [Indexed: 02/17/2023] Open
Abstract
Coal-fired power plants (CFPP) are major contributors of air pollution, including the majority of anthropogenic sulfur dioxide (SO2) emissions, which have been associated with preterm birth (PTB). To address a 2002 North Carolina (NC) policy, 14 of the largest NC CFPPs either installed desulfurization equipment (scrubbers) or retired coal units, resulting in substantial reductions of SO2 air emissions. We investigated whether SO2 air emission reduction strategies at CFPPs in NC were associated with changes in prevalence of PTB in nearby communities. Methods We used US EPA Air Markets Program Data to track SO2 emissions and determine the implementation dates of intervention at CFPPs and geocoded 2003-2015 NC singleton live births. We conducted a difference-in-difference analysis to estimate change in PTB associated with change in SO2 reduction strategies for populations living 0-<4 and 4-<10 miles from CFPPs pre- and postintervention, with a comparison of those living 10-<15 miles from CFPPs. Results With the spatial-temporal exposure restrictions applied, 42,231 and 41,218 births were within 15 miles of CFPP-scrubbers and CFPP-retired groups, respectively. For residents within 4-<10 miles from a CFPP, we estimated that the absolute prevalence of PTB decreased by -1.5% [95% confidence interval (CI): -2.6, -0.4] associated with scrubber installation and -0.5% (95% CI: -1.6, 0.6) associated with the retirement of coal units at CFPPs. Our findings were imprecise and generally null-to-positive among those living within 0-<4 miles regardless of the intervention type. Conclusions Results suggest a reduction of PTB among residents 4-<10 miles of the CFPPs that installed scrubbers.
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Affiliation(s)
- Adrien A Wilkie
- Oak Ridge Institute for Science and Education (ORISE) Postdoctoral Fellow at US EPA, Research Triangle Park, North Carolina
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - David B Richardson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
- Program in Public Health, University of California at Irvine, Irvine, California
| | - Thomas J Luben
- United States Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina
| | - Marc L Serre
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Courtney G Woods
- Department of Environmental Science and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Julie L Daniels
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
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18
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Miron-Celis M, Talarico R, Villeneuve PJ, Crighton E, Stieb DM, Stanescu C, Lavigne É. Critical windows of exposure to air pollution and gestational diabetes: assessing effect modification by maternal pre-existing conditions and environmental factors. Environ Health 2023; 22:26. [PMID: 36918883 PMCID: PMC10015960 DOI: 10.1186/s12940-023-00974-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive. METHODS We conducted a retrospective cohort study of all singleton live birth that occurred between April 1st 2006 and March 31st 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3)) were assigned to the study population in spatial resolution of approximately 1 km × 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations. RESULTS Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM2.5 and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 µg/m3); 95% CI: 1.02 - 1.11)). For O3, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 - 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 -1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O3 (p- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively. CONCLUSION An increase of PM2.5 exposure in early pregnancy and of O3 exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.
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Affiliation(s)
- Marcel Miron-Celis
- Air Sectors Assessment and Exposure Science Division, Health Canada, Ottawa, ON, Canada
| | - Robert Talarico
- ICES uOttawa (Formerly Known As Institute for Clinical Evaluative Sciences), Ottawa, ON, Canada
- Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON, Canada
| | | | - Eric Crighton
- Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, ON, Canada
| | - David M Stieb
- Population Studies Division, Health Canada, 269 Laurier Avenue West, Ottawa, ON, K1A 0K9, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Cristina Stanescu
- Population Studies Division, Health Canada, 269 Laurier Avenue West, Ottawa, ON, K1A 0K9, Canada
| | - Éric Lavigne
- Population Studies Division, Health Canada, 269 Laurier Avenue West, Ottawa, ON, K1A 0K9, Canada.
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
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19
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Xiao H, Yao C, Qi Z, Liu J, Liu X, Zhou Y, Tang E, Hu Y, Jiang Y, Li D, Du N, Li N, Li Y, Ji A, Cai T. Association between maternal short-term exposure to ambient air pollution and the risk of fetal distress: A matched case-control study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160438. [PMID: 36435241 DOI: 10.1016/j.scitotenv.2022.160438] [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: 07/28/2022] [Revised: 11/15/2022] [Accepted: 11/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Ambient air pollution has been linked to gestational complications. However, the evidence on the relationship between air pollution and fetal distress is limited. OBJECTIVES To investigate the relationship between maternal short-term air pollution exposure and fetal distress, and to identify a potential susceptible population. METHODS This matched case-control study, involving 313 pregnancy women with fetal distress was conducted in Xi'an, the largest city in Northwest China from 2013 to 2016. Each woman with fetal distress was randomly matched with four women without fetal distress of the same age, same gestational week, and registration in the same period (n = 1252). Inverse distance-weighted (IDW) interpolation was applied to estimate maternal air pollution exposure based on the residential addresses. We employed conditional logistic regression model to evaluate the relationship between air pollutants and fetal distress. Distributed lag nonlinear model (DLNM) was performed to examine the exposure-response relationship between air pollutants and fetal distress. RESULTS Maternal short-term exposure to PM10, PM2.5-10 (PMc), SO2, NO2, and CO was associated with increased risk of fetal distress. Each 10 μg/m3 increment in PM10, PMc, SO2 at lag 014, and NO2 at lag 010, the odds ratio (ORs) of fetal distress were 1.027 (95 % confidence interval (CI): 1.004, 1.050), 1.058 (95 % CI: 1.014, 1.105), 1.140 (95 % CI: 1.029, 1.264), and 1.158 (95 % CI: 1.046, 1.283), respectively. Similarly, with a 0.1 mg/m3 increment in CO at lag 014, the OR of fetal distress was 1.029 (95 % CI: 1.002, 1.058). Stratified analyses showed that the estimate associations of PM10, PM2.5 and CO appeared to be stronger, although not statistically significantly, among women with gestational complications. CONCLUSION Maternal short-term exposure to ambient air pollution may increase the risk of fetal distress. Understanding the detrimental role of air pollution in fetal distress can help us better develop preventative methods in reducing its' impact on maternal and fetal health.
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Affiliation(s)
- Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Zongli Qi
- Department of Pathology, Shaanxi Provincial People's Hospital, Xi'an 710068, China; Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an 710068, China
| | - Jianghong Liu
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA 19104, USA
| | - Xiaoling Liu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yumeng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Enjie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yuegu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yuexu Jiang
- The First People's Hospital of Guiyang, Guiyang 550000, China
| | - Dawei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ning Du
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Na Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China; Department of Nutrition and Food Hygiene, School of Public Health Guizhou Medical University, Guiyang 550025, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ailing Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing 401331, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China.
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20
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Yu Y, Qin XD, Bloom MS, Chu C, Dai X, Li QQ, Chen ZX, Kong ML, Xie YQ, Meng WJ, Yang BY, Hu LW, Zeng XW, Zhao XM, Zhou Y, Dong GH. Associations of prenatal exposure to perfluoroalkyl substances with preterm birth: A family-based birth cohort study. ENVIRONMENTAL RESEARCH 2022; 214:113803. [PMID: 35810818 DOI: 10.1016/j.envres.2022.113803] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/15/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
Studies have investigated associations between maternal exposure to PFAS and preterm birth, but the impact of paternal and overall family exposure to PFAS mixtures on preterm birth remains unknown. To address this knowledge gap, a total of 355 preterm births and 481 controls were selected for a family-based birth cohort study in a coastal area of China, between 2016 and 2018. Seven PFAS, including perfluorobutanoic acid (PFBA), perfluorohexanoic acid (PFHxA), perfluorohexanesulfonic acid (PFHxS), perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), perfluorononanoic acid (PFNA) and perfluorodecanoic acid (PFDA), were quantified in maternal, paternal and neonatal sera. Preterm birth was defined as live delivery at <37 completed gestational weeks. Bayesian kernel machine regression (BKMR) model was used to inspect the combined effect of family PFAS mixtures. Latent class analysis was used to identify family-level PFAS exposure profiles. Multiple linear regression analysis showed higher odds of preterm birth in association with higher maternal PFBA (OR = 1.16, 95%CI:1.09, 1.25), PFOA (OR = 1.51, 95%CI:1.27, 1.80), PFOS (OR = 2.07, 95%CI:1.70, 2.52) and PFNA (OR = 1.36, 95%CI: 1.01, 1.83), and neonatal PFBA (OR = 1.16, 95%CI:1.05,1.29), PFHxA (OR = 1.46, 95%CI:1.32, 1.62), PFHxS (OR = 1.15, 95%CI:1.05, 1.26) and PFNA (OR = 1.30, 95%CI:1.09,1.56). The associations were reversed between individual paternal PFAS exposures and preterm birth. At the family level, higher PFAS mixture concentration was associated with higher odds of preterm birth. In particular, higher PFNA and PFDA exposure was associated with greater preterm birth risk (OR = 2.55, 95%CI:1.45, 4.50). The PFAS-preterm association was modified by family-level seafood consumption. Our results suggest that higher family-level PFNA and PFDA exposure was associated with greater preterm birth risk, although the results for individual paternal, maternal and neonatal PFAS exposures were contradictory. If replicated in other coastal areas, these findings highlight a need to focus on the family triad and to consider seafood consumption when assessing the reproductive toxicity of PFAS exposure.
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Affiliation(s)
- Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China
| | - Xiao-Di Qin
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, China
| | - Michael S Bloom
- Department of Global and Community Health, George Mason University, Fairfax, VA, 22030, USA
| | - Chu Chu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xin Dai
- Allergy and Lung Health Unit, Center for Epidemiology and Biostatistics, School of Population & Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Qin-Qin Li
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zan-Xiong Chen
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Maoming City, Maoming, 525000, Guangdong, China
| | - Min-Li Kong
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Maoming City, Maoming, 525000, Guangdong, China
| | - Yan-Qi Xie
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Maoming City, Maoming, 525000, Guangdong, China
| | - Wen-Jie Meng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiao-Miao Zhao
- Department of Reproductive Medicine, Department of Obstetrics and Gynecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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21
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Qiao P, Fan K, Bao Y, Yuan L, Kan H, Zhao Y, Cai J, Ying H. Prenatal exposure to fine particulate matter and the risk of spontaneous preterm birth: A population-based cohort study of twins. Front Public Health 2022; 10:1002824. [PMID: 36353284 PMCID: PMC9638056 DOI: 10.3389/fpubh.2022.1002824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/07/2022] [Indexed: 01/27/2023] Open
Abstract
Background Studies in singletons have suggested that prenatal exposure to fine particulate matter (PM2.5) and some of its chemical components is associated with an increased risk of preterm birth (PTB). However, no study has been conducted in twins. Purpose To examine the associations of maternal exposure to total PM2.5 mass and its carbonaceous components with PTB in twin pregnancies. Methods A total of 1,515 pairs of twins and their mothers were enrolled from a previous twin birth cohort that had been conducted at the Shanghai First Maternity and Infant Hospital School of Medicine of Tongji University in China. Participants who had iatrogenic PTBs were excluded. Maternal exposure to total PM2.5 mass and two carbonaceous components, namely, organic carbon (OC) and black carbon (BC), was estimated by a satellite-based model. The associations between PM2.5 exposure and the risk of spontaneous PTB were evaluated by logistic regression analysis. Results This study found that exposure to total PM2.5 mass and OC during the second trimester of pregnancy was significantly associated with an increased risk of spontaneous PTB. An interquartile range (IQR) increase in total PM2.5 mass and OC exposure during the second trimester was associated with 48% (OR = 1.48, 95% CI, 1.06, 2.05) and 50% (OR = 1.50, 95% CI, 1.00, 2.25) increases in the odds of PTB, respectively. However, no significant association was found between BC exposure during any exposure window and the risk of PTB. Conclusion The findings suggest that exposure to ambient air pollution with fine particles may be a risk factor for spontaneous PTB in twin pregnancies. The middle stage of pregnancy seems to be a critical window for the impacts of PM2.5 exposure on PTB in twin pregnancies.
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Affiliation(s)
- Ping Qiao
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kechen Fan
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yirong Bao
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ling Yuan
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Haidong Kan
- Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China
| | - Yan Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai, China,*Correspondence: Hao Ying
| | - Jing Cai
- Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai, China,Jing Cai
| | - Hao Ying
- Departments of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai, China,Yan Zhao
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22
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Genin M, Lecoeuvre A, Cuny D, Subtil D, Chevalier G, Ficheur G, Occelli F, Garabedian C. The association between the incidence of preterm birth and overall air pollution: A nationwide, fine-scale, spatial study in France from 2012 to 2018. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 311:120013. [PMID: 36007792 DOI: 10.1016/j.envpol.2022.120013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/05/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Michael Genin
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France.
| | - Adrien Lecoeuvre
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France
| | - Damien Cuny
- Univ. Lille, Institut Mines-Télécom, Univ. Artois, Junia, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France
| | - Damien Subtil
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France; CHU Lille, Department of Obstetrics, F-59000, Lille, France
| | - Geoffroy Chevalier
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France; CHU Lille, Department of Obstetrics, F-59000, Lille, France
| | - Grégoire Ficheur
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France
| | - Florent Occelli
- Univ. Lille, Institut Mines-Télécom, Univ. Artois, Junia, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France
| | - Charles Garabedian
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France; CHU Lille, Department of Obstetrics, F-59000, Lille, France
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23
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Lu Z, Coll P, Maitre B, Epaud R, Lanone S. Air pollution as an early determinant of COPD. Eur Respir Rev 2022; 31:31/165/220059. [PMID: 35948393 DOI: 10.1183/16000617.0059-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/09/2022] [Indexed: 11/05/2022] Open
Abstract
COPD is a progressive and debilitating disease often diagnosed after 50 years of age, but more recent evidence suggests that its onset could originate very early on in life. In this context, exposure to air pollution appears to be a potential contributor. Although the potential role of air pollution as an early determinant of COPD is emerging, knowledge gaps still remain, including an accurate qualification of air pollutants (number of pollutants quantified and exact composition) or the "one exposure-one disease" concept, which might limit the current understanding. To fill these gaps, improvements in the field are needed, such as the use of atmosphere simulation chambers able to realistically reproduce the complexity of air pollution, consideration of the exposome, as well as improving exchanges between paediatricians and adult lung specialists to take advantage of reciprocal expertise. This review should lead to a better understanding of the current knowledge on air pollution as an early determinant of COPD, as well as identify the existing knowledge gaps and opportunities to fill them. Hopefully, this will lead to better prevention strategies to scale down the development of COPD in future generations.
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Affiliation(s)
- Zhuyi Lu
- Univ Paris Est Creteil, INSERM, IMRB, Creteil, France
| | - Patrice Coll
- Université Paris Cité and Univ Paris Est Créteil, CNRS, LISA, Paris, France
| | - Bernard Maitre
- Univ Paris Est Creteil, INSERM, IMRB, Creteil, France.,Dept of Pneumology, Centre Hospitalier Intercommunal de Créteil, Créteil, France
| | - Ralph Epaud
- Univ Paris Est Creteil, INSERM, IMRB, Creteil, France.,Dept of General Pediatrics, Centre Hospitalier Intercommunal de Créteil, Créteil, France
| | - Sophie Lanone
- Univ Paris Est Creteil, INSERM, IMRB, Creteil, France
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24
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Quraishi SM, Hazlehurst MF, Loftus CT, Nguyen RHN, Barrett ES, Kaufman JD, Bush NR, Karr CJ, LeWinn KZ, Sathyanarayana S, Tylavsky FA, Szpiro AA, Enquobahrie DA. Association of prenatal exposure to ambient air pollution with adverse birth outcomes and effect modification by socioeconomic factors. ENVIRONMENTAL RESEARCH 2022; 212:113571. [PMID: 35640705 PMCID: PMC9674115 DOI: 10.1016/j.envres.2022.113571] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 05/22/2022] [Accepted: 05/24/2022] [Indexed: 06/02/2023]
Abstract
BACKGROUND Maternal exposure to air pollution has been associated with birth outcomes; however, few studies examined biologically critical exposure windows shorter than trimesters or potential effect modifiers. OBJECTIVES To examine associations of prenatal fine particulate matter (PM2.5), by trimester and in biologically critical windows, with birth outcomes and assess potential effect modifiers. METHODS This study used two pregnancy cohorts (CANDLE and TIDES; N = 2099) in the ECHO PATHWAYS Consortium. PM2.5 was estimated at the maternal residence using a fine-scale spatiotemporal model, averaged over pregnancy, trimesters, and critical windows (0-2 weeks, 10-12 weeks, and last month of pregnancy). Outcomes were preterm birth (PTB, <37 completed weeks of gestation), small-for-gestational-age (SGA), and continuous birthweight. We fit multivariable adjusted linear regression models for birthweight and Poisson regression models (relative risk, RR) for PTB and SGA. Effect modification by socioeconomic factors (maternal education, household income, neighborhood deprivation) and infant sex were examined using interaction terms. RESULTS Overall, 9% of births were PTB, 10.4% were SGA, and mean term birthweight was 3268 g (SD = 558.6). There was no association of PM2.5 concentration with PTB or SGA. Lower birthweight was associated with higher PM2.5 averaged over pregnancy (β -114.2, 95%CI -183.2, -45.3), during second (β -52.9, 95%CI -94.7, -11.2) and third (β -45.5, 95%CI -85.9, -5.0) trimesters, and the month prior to delivery (β -30.5, 95%CI -57.6, -3.3). Associations of PM2.5 with likelihood of SGA and lower birthweight were stronger among male infants (p-interaction ≤0.05) and in those with lower household income (p-interaction = 0.09). CONCLUSIONS Findings from this multi city U.S. birth cohort study support previous reports of inverse associations of birthweight with higher PM2.5 exposure during pregnancy. Findings also suggest possible modification of this association by infant sex and household income.
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Affiliation(s)
- Sabah M Quraishi
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA.
| | - Marnie F Hazlehurst
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Christine T Loftus
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Ruby H N Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, NJ, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; Division of General Internal Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Catherine J Karr
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA; Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA, USA
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sheela Sathyanarayana
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA; Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, Seattle, WA, USA
| | - Frances A Tylavsky
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Adam A Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Daniel A Enquobahrie
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
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25
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Yu Z, Zhang X, Zhang J, Feng Y, Zhang H, Wan Z, Xiao C, Zhang H, Wang Q, Huang C. Gestational exposure to ambient particulate matter and preterm birth: An updated systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 212:113381. [PMID: 35523275 DOI: 10.1016/j.envres.2022.113381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/17/2022] [Accepted: 04/26/2022] [Indexed: 06/14/2023]
Abstract
Previous studies on gestational particulate matter (PM) exposure and preterm birth (PTB) showed inconsistent results, and no study systematically examined the short-term effect of PM exposure on PTB subtypes. To investigate both long- and short-term effects of the evidence to date in general population, we searched for epidemiological studies on PM exposure and PTB that published in PubMed, Web of Science, Embase and Cochrane Library up to March 31, 2022. The protocol for this review was registered with PROSPERO (CRD42021265202). Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression and sensitivity analysis were performed. Of 16,801 records, 84 eligible studies were finally included. The meta-analysis of long-term effect showed that per 10 μg/m3 increase in PM2.5 and PM10 during entire pregnancy were associated with PTB, the pooled odds ratios (ORs) were 1.084 (95% CI: 1.055-1.113) and 1.034 (95% CI: 1.018-1.049). Positive associations were found between PM2.5 in second trimester and PTB subtypes. For the short-term exposure, we observed that PTB was positively associated with a 10 μg/m3 increment in PM2.5 on lag day 2 and 3, the pooled ORs and 95% CIs were 1.003 (1.001-1.004) and 1.003 (1.001-1.005), with I2 of 65.30% and 76.60%. PM10 exposure on ave day 1 increased the risk of PTB, the pooled OR was 1.001 (95% CI: 1.000, 1.001). We also found that PM10 exposure in 2 weeks prior to birth increased PTB risk. Our results support the hypothesis of both long- and short-term PM2.5 exposure increase the risk of PTB. Further well-designed longitudinal studies and investigations into potential biological mechanisms are warranted.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Han Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhongxiao Wan
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chenglong Xiao
- School of Earth Sciences, Chengdu University of Technology, Chengdu, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China; National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China.
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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Zhang H, Zhang X, Zhang H, Luo H, Feng Y, Wang J, Huang C, Yu Z. Assessing the effect of fine particulate matter on adverse birth outcomes in Huai River Basin, Henan, China, 2013-2018. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 306:119357. [PMID: 35489530 DOI: 10.1016/j.envpol.2022.119357] [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: 09/03/2021] [Revised: 03/25/2022] [Accepted: 04/21/2022] [Indexed: 06/14/2023]
Abstract
Previous studies have indicated that maternal exposure to particles with aerodynamic diameter <2.5 μm (PM2.5) is associated with adverse birth outcomes. However, the critical exposure windows remain inconsistent. A retrospective cohort study was conducted in Huai River Basin, Henan, China during 2013-2018. Daily PM2.5 concentration was collected using Chinese Air Quality Reanalysis datasets. We calculated exposures for each participant based on the residential address during pregnancy. Binary logistic regression was used to examine the trimester-specific association of PM2.5 exposure with preterm birth (PTB), low birth weight (LBW) and term LBW (tLBW), and we further estimated monthly and weekly association using distributed lag models. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for each 10 μg/m3 increase in PM2.5 exposure. Stratified analyses were performed by maternal age, infant gender, parity, and socioeconomic status (SES). In total, 196,780 eligible births were identified, including 4257 (2.2%) PTBs, 3483 (1.8%) LBWs and 1770 (0.9%) tLBWs. Maternal PM2.5 exposure during the second trimester were associated with the risk of PTB and LBW. At the monthly level, the PTB and LBW risks were associated with PM2.5 exposure mainly in the 4th -6th month. By estimating the weekly-specific association, we observed that critical exposure windows of PM2.5 exposure and PTB were in the 18th- 27th gestational weeks. Stronger associations were found in younger, multiparous mothers and those with a female baby and in low SES. In conclusion, the results indicate that maternal PM2.5 exposure during the second trimester was associated with PTB and LBW. Younger, multiparous mothers and those with female babies and in low SES were susceptible.
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Affiliation(s)
- Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Han Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Hongyan Luo
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jingzhe Wang
- MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China; National Health Commission Key Laboratory of Birth Defects Prevention, Key Laboratory of Population Defects Prevention, Zhengzhou, China
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Imam B, Rahmatinia M, Shahsavani A, Khodagholi F, Hopke PK, Bazazzpour S, Hadei M, Yarahmadi M, Abdollahifar MA, Torkmahalleh MA, Kermani M, Ilkhani S, MirBehbahani SH. Autism-like symptoms by exposure to air pollution and valproic acid-induced in male rats. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:59263-59286. [PMID: 35384534 DOI: 10.1007/s11356-022-19865-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 03/19/2022] [Indexed: 06/14/2023]
Abstract
Exposure to air pollution during prenatal or neonatal periods is associated with autism spectrum disorder (ASD) according to epidemiology studies. Furthermore, prenatal exposure to valproic acid (VPA) has also been found to be associated with an increased prevalence of ASD. To assess the association between simultaneous exposure to VPA and air pollutants, seven exposure groups of rats were included in current study (PM2.5 and gaseous pollutants exposed - high dose of VPA (PGE-high); PM2.5 and gaseous pollutants exposed - low dose of VPA (PGE-low); gaseous pollutants only exposed - high dose of VPA (GE-high); gaseous pollutants only exposed - low dose of VPA (GE-low); clean air exposed - high dose of VPA (CAE-high); clean air exposed - low dose of VPA (CAE-low) and clean air exposed (CAE)). The pollution-exposed rats were exposed to air pollutants from embryonic day (E0) to postnatal day 42 (PND42). In all the induced groups, decreased oxidative stress biomarkers, decreased oxytocin receptor (OXTR) levels, and increased the expression of interleukin 6 (IL-6), interleukin 1β (IL-1β), and tumor necrosis factor alpha (TNF-α) were found. The volumes of the cerebellum, hippocampus, striatum, and prefrontal decreased in all induced groups in comparison to CAE. Additionally, increased numerical density of glial cells and decreased of numerical density of neurons were found in all induced groups. Results show that simultaneous exposure to air pollution and VPA can cause ASD-related behavioral deficits and air pollution reinforced the mechanism of inducing ASD ̉s in VPA-induced rat model of autism.
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Affiliation(s)
- Bahran Imam
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Masoumeh Rahmatinia
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Abbas Shahsavani
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Air Quality and Climate Change Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fariba Khodagholi
- Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
- Institute for a Sustainable Environment, Clarkson University, Potsdam, NY, 13699, USA
| | - Shahriyar Bazazzpour
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Yarahmadi
- Environmental and Occupational Health Center, Ministry of Health and Medical Education, Tehran, Iran
| | - Mohammad-Amin Abdollahifar
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Amouei Torkmahalleh
- Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan, 010000
| | - Majid Kermani
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Saba Ilkhani
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Fang J, Yang Y, Zou X, Xu H, Wang S, Wu R, Jia J, Xie Y, Yang H, Yuan N, Hu M, Deng Y, Zhao Y, Wang T, Zhu Y, Ma X, Fan M, Wu J, Song X, Huang W. Maternal exposures to fine and ultrafine particles and the risk of preterm birth from a retrospective study in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:151488. [PMID: 34742962 DOI: 10.1016/j.scitotenv.2021.151488] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/02/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
Maternal exposure to fine particulate matter (PM2.5) has been associated with increased risk of preterm birth (PTB), but evidence on particles in smaller sizes and PTB risk remains limited. In this retrospective analysis, we included birth records of 24,001 singleton live births from Haidian Maternal and Child Health Hospital in Beijing, China, 2014-2017. Concurrently, number concentrations of size-fractioned particles in size ranges of 5-560 nm (PNC5-560) and mass concentrations of PM2.5, black carbon (BC) and gaseous pollutants were measured from a fixed-location monitoring station in central Haidian District. Logistic regression models were used to estimate the odds ratio (OR) of air pollutants on PTB risk after controlling for temperature, relative humidity, and individual covariates (e.g., maternal age, ethnicity, gravidity, parity, gestational weight gain, fetal gender, the year and season of conception). Positive matrix factorization models were then used to apportion the sources of PNC5-560. Among the 1062 (4.4%) PTBs, increased PTB risk was observed during the third trimester of pregnancy per 10 μg/m3 increase in PM2.5 [OR = 1.92; 95% Confidence Interval (95% CI): 1.76, 2.09], per 1000 particles/cm3 increase in PNC25-100 (OR = 1.09; 95% CI: 1.03, 1.15) and PNC100-560 (OR = 1.22; 95% CI: 1.05, 1.42). Among the identified sources of PNC5-560, emissions from gasoline and diesel vehicles were significantly associated with increased PTB risk, with ORs of 1.14 (95% CI: 1.01, 1.29) and 1.11 (95% CI: 1.04, 1.18), respectively. Exposures to other traffic-related air pollutants, such as BC and nitrogen dioxide (NO2) were also significantly associated with increased PTB risk. Our findings highlight the importance of traffic emission reduction in urban areas.
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Affiliation(s)
- Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China; Graduate School of Peking Union Medical College, Beijing, China; National Human Genetic Resources Center, Beijing, China.
| | - Xiaoxuan Zou
- Hadian Maternal and Child Health Hospital, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Shuo Wang
- Hadian Maternal and Child Health Hospital, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jiajing Jia
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Haishan Yang
- Graduate School of Peking Union Medical College, Beijing, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Meina Hu
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yuzhi Deng
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yinzhu Zhao
- Graduate School of Peking Union Medical College, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Xu Ma
- National Human Genetic Resources Center, Beijing, China; Hadian Maternal and Child Health Hospital, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Meng Fan
- Aerospace Information Research Institute, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China
| | - Jianbin Wu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
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Liang Z, Zhao L, Qiu J, Zhu X, Jiang M, Liu G, Zhao Q. PM 2.5 exposure increases the risk of preterm birth in pre-pregnancy impaired fasting glucose women: A cohort study in a Southern province of China. ENVIRONMENTAL RESEARCH 2022; 204:112403. [PMID: 34800533 DOI: 10.1016/j.envres.2021.112403] [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: 07/18/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 06/13/2023]
Abstract
Previous studies have indicated maternal exposure to particles with aerodynamic diameter <2.5 μm (PM2.5) is associated with preterm birth (PTB). However, no study has investigated this effect in pre-pregnancy impaired fasting glucose (IFG) women. This study aimed to differentiate the effects of maternal PM2.5 exposure on PTB between pre-pregnancy IFG and normoglycemia women, and to further identify the susceptible window. This cohort study was conducted between January 2014 and December 2017 in 21 Chinese cities. All the recruited women received pre-pregnancy fasting serum glucose (FSG) tests and were followed up for their delivery outcomes. The PM2.5 exposures were estimated by the daily air pollution concentrations of the nearby monitors. Women with FSG below 7.0 mmol/L were included in the analysis. We employed the Cox proportional hazards models to examine whether PM2.5 exposure was associated with PTB. 237957 women were included and 7055 (3.0%) of them were pre-pregnancy IFG. During the entire pregnancy, we found 24.1% (HR = 1.241; 95% CI: 1.069, 1.439), 61.8% (HR = 1.618; 95% CI: 1.311, 1.997) and 18.6% (HR = 1.186; 95% CI: 1.004, 1.402) of increases in risk for all PTB, early PTB (20-33 gestational weeks) and late PTB (34-36 gestational weeks) among the pre-pregnancy IFG women, and 15.9% (HR = 1.159; 95% CI: 1.127, 1.192), 33.9% (HR = 1.339; 95% CI: 1.255, 1.430) and 13.2% (HR = 1.132; 95% CI: 1.098, 1.168) of increases in risk for all PTB, early PTB and late PTB among the normoglycemia women, with each 10 μg/m3 increment of PM2.5 exposure, respectively. Furthermore, PM2.5 exposure had the strongest effect on all PTB during trimester 1 (0-12 gestational weeks) among the pre-pregnancy IFG women, compared with the less strong effect during trimester 1 among the normoglycemia women. In conclusion, pre-pregnancy IFG increases the risk of PTB attributed to PM2.5, especially during trimester 1. Moreover, the effects of PM2.5 are greater on early PTB than late PTB for both pre-pregnancy IFG and normoglycemia women.
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Affiliation(s)
- Zhijiang Liang
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Lina Zhao
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Jialing Qiu
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Xinhong Zhu
- Department of Public Health, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China
| | - Min Jiang
- Guangdong Institute of Family Planning Science and Technology, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; Guangdong Province Fertility Hospital, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; National Health Committee of China (NHCC) Key Laboratory of Male Reproduction and Genetics, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China
| | - Guocheng Liu
- Department of Obstetrics, Guangdong Women and Children Hospital, 521 Xingnan Road, Panyu District, Guangzhou, 511442, China.
| | - Qingguo Zhao
- Guangdong Institute of Family Planning Science and Technology, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; Guangdong Province Fertility Hospital, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China; National Health Committee of China (NHCC) Key Laboratory of Male Reproduction and Genetics, 17th Meidong Road, Yuexiu District, Guangzhou, 510245, China.
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Abstract
Purpose of Review Climate change is the biggest public health threat of the twenty-first century but its impact on the perinatal period has only recently received attention. This review summarizes recent literature regarding the impacts of climate change and related environmental disasters on pregnancy health and provides recommendations to inform future adaptation and mitigation efforts. Recent Findings Accumulating evidence suggests that the changing climate affects pregnancy health directly via discrete environmental disasters (i.e., wildfire, extreme heat, hurricane, flood, and drought), and indirectly through changes in the natural and social environment. Although studies vary greatly in design, analytic methods, and assessment strategies, they generally converge to suggest that climate-related disasters are associated with increased risk of gestational complication, pregnancy loss, restricted fetal growth, low birthweight, preterm birth, and selected delivery/newborn complications. Window(s) of exposure with the highest sensitivity are not clear, but both acute and chronic exposures appear important. Furthermore, socioeconomically disadvantaged populations may be more vulnerable. Summary Policy, clinical, and research strategies for adaptation and mitigation should be continued, strengthened, and expanded with cross-disciplinary efforts. Top priorities should include (a) reinforcing and expanding policies to further reduce emission, (b) increasing awareness and education resources for healthcare providers and the public, (c) facilitating access to quality population-based data in low-resource areas, and (d) research efforts to better understand mechanisms of effects, identify susceptible populations and windows of exposure, explore interactive impacts of multiple exposures, and develop novel methods to better quantify pregnancy health impacts.
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Zhou G, Wu J, Yang M, Sun P, Gong Y, Chai J, Zhang J, Afrim FK, Dong W, Sun R, Wang Y, Li Q, Zhou D, Yu F, Yan X, Zhang Y, Jiang L, Ba Y. Prenatal exposure to air pollution and the risk of preterm birth in rural population of Henan Province. CHEMOSPHERE 2022; 286:131833. [PMID: 34426128 DOI: 10.1016/j.chemosphere.2021.131833] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/29/2021] [Accepted: 08/05/2021] [Indexed: 06/13/2023]
Abstract
Due to the poor living and healthcare conditions, preterm birth (PTB) in rural population is a pressing health issue. However, PTB studies in rural population are rare. To explore the effects of air pollutants on PTB in rural population, we collected 697,316 medical records during 2014-2016 based on the National Free Preconception Health Examination Project. Logistic regression models were used to estimate the association between air pollutants and PTB and the modifying effects of demographic characteristics. Relative contribution and principal component analysis-generalized linear model (PCA-GLM) analysis were used to explore the most significant air pollutant and gestational period. Our results demonstrated that PTB risk is positively associated with exposure to air pollutants including PM10, PM2.5, SO2, NO2, and CO, while negatively associated with O3 exposure (P < 0.05). In addition, we found that NO2 was the largest contributor to the risk of PTB caused by air pollutants (26.5%). The third trimester of pregnancy was the most sensitive exposure window. PCA-GLM analysis showed that the first component (a combination of PM, SO2, NO2, and CO) increased the risk of PTB. Moreover, we found that rural women who are younger, had higher educated, multi-parity, or smoke appeared to be more sensitive to the association between air pollutants exposure and PTB (P-interaction<0.05). Our findings suggested that increased air pollutants except O3 were associated with elevated PTB risk, especially among vulnerable mothers. Therefore, the effects of air pollutants exposure on PTB should be mitigated by restricting emission sources of NO2 and SO2 in rural population, especially during the third trimester.
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Affiliation(s)
- Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Jingjing Wu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Meng Yang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Panpan Sun
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Yongxiang Gong
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Francis-Kojo Afrim
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Wei Dong
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Renjie Sun
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yuhong Wang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Qinyang Li
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Dezhuan Zhou
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Xi Yan
- Department of Neurology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital; Henan University People's Hospital, Zhengzhou, Henan, 450001, PR China
| | - Yawei Zhang
- Department of Environment Health Science, Yale University School of Public Health, New Haven, CT, USA
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
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32
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Ebisu K, Basu R. Selecting exposure data and identifying relevant exposure windows for birth outcome studies. Paediatr Perinat Epidemiol 2022; 36:90-91. [PMID: 34951023 DOI: 10.1111/ppe.12844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 11/22/2021] [Indexed: 12/01/2022]
Affiliation(s)
- Keita Ebisu
- Office of Environmental Health Hazard Assessment, Air and Climate Epidemiology Section, Oakland, California, USA
| | - Rupa Basu
- Office of Environmental Health Hazard Assessment, Air and Climate Epidemiology Section, Oakland, California, USA
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Shi W, Jiang M, Kan L, Zhang T, Yu Q, Wu Z, Xue S, Fei X, Jin C. Association Between Ambient Air Pollutants Exposure and Preterm Birth in Women Who Underwent in vitro Fertilization: A Retrospective Cohort Study From Hangzhou, China. Front Med (Lausanne) 2021; 8:785600. [PMID: 34966762 PMCID: PMC8710591 DOI: 10.3389/fmed.2021.785600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/16/2021] [Indexed: 11/16/2022] Open
Abstract
Objectives: Exposure to air pollutants has been linked to preterm birth (PTB) after natural conception. However, few studies have explored the effects of air pollution on PTB in patients who underwent in vitro fertilization (IVF). We aimed to investigate the association between ambient air pollutants exposure and PTB risk in IVF patients. Methods: This retrospective cohort study included 2,195 infertile women who underwent IVF treatment from January 2017 and September 2020 in Hangzhou Women's Hospital. Totally 1,005 subjects who underwent a first fresh embryo(s) transfer cycle were analyzed in this study. Residential exposure to ambient six air pollutants (PM2.5, PM10, SO2, NO2, CO, O3) during various periods of the IVF timeline were estimated by satellite remote-sensing and ground measurement. Cox proportional hazards models for discrete time were used to explore the association between pollutants exposure and incident PTB, with adjustment for confounders. Stratified analyses were employed to explore the effect modifiers. Results: The clinical pregnancy and PTB rates were 61.2 and 9.3%, respectively. We found that PM2.5 exposure was significantly associated with an increased risk of PTB during 85 days before oocyte retrieval [period A, adjusted hazard ratio, HR=1.09, 95%CI: 1.02–1.21], gonadotropin start to oocyte retrieval [period B, 1.07 (1.01–1.19)], first trimester of pregnancy [period F, 1.06 (1.01–1.14)], and the entire IVF pregnancy [period I, 1.07 (1.01–1.14)], respectively. An interquartile range increment in PM10 during periods A and B was significantly associated with PTB at 1.15 (1.04–1.36), 1.12 (1.03–1.28), and 1.14 (1.01–1.32) for NO2 during period A. The stratified analysis showed that the associations were stronger for women aged <35 years and those who underwent two embryos transferred. Conclusions: Our study suggests ambient PM2.5, PM10, and NO2 exposure were significantly associated with elevated PTB risk in IVF patients, especially at early stages of IVF cycle and during pregnancy.
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Affiliation(s)
- Wenming Shi
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.,School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Meiyan Jiang
- Department of Reproductive Medicine, Hangzhou Women's Hospital, Hangzhou, China
| | - Lena Kan
- Division of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Tiantian Zhang
- School of Public Health, Fudan University, Shanghai, China
| | - Qiong Yu
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zexuan Wu
- Department of Reproductive Center, Peking University Shenzhen Hospital, Shenzhen, China
| | - Shuya Xue
- Hangzhou Medical College, Hangzhou, China
| | - Xiaoyang Fei
- Department of Reproductive Medicine, Hangzhou Women's Hospital, Hangzhou, China
| | - Changbo Jin
- Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
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Chu C, Zhu Y, Liu C, Chen R, Yan Y, Ren Y, Li X, Wang J, Ge W, Kan H, Gui Y. Ambient fine particulate matter air pollution and the risk of preterm birth: A multicenter birth cohort study in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 287:117629. [PMID: 34182393 DOI: 10.1016/j.envpol.2021.117629] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 05/07/2021] [Accepted: 06/19/2021] [Indexed: 06/13/2023]
Abstract
Preterm birth (PTB), defined as live birth before the 37th week of gestation, is believed to have profound impacts on the infant's health in later life. Air pollution has been suggested to be a potential risk factor of PTB, but the evidence was inconsistent. In this multicenter birth cohort study, we aimed to examine the association between fine particulate matter (PM2.5) exposure during pregnancy and PTB in China. A total of 5976 live births were identified between Jan. 2009 and Feb. 2011 from 8 provinces in China. Residential exposures to PM2.5 were assigned based on satellite remote sensing estimates. Cox proportional hazards regressions were employed to explore the correlation for each trimester as well as the entire pregnancy. A total of 443 (7.4%) preterm births were observed. The average PM2.5 during pregnancy was 57.2 ± 8.8 μg/m3. We found exposure to PM2.5 during the whole pregnancy (hazard ratio, HR = 1.262; 95% CI: 1.087-1.465) and in the first trimester (HR = 1.114; 95% CI: 1.007-1.232) was associated with higher risk of PTB. The associations of PM2.5 were stronger for subjects with older maternal or paternal age, lower maternal pre-pregnancy BMI, and lower family income. This study adds supports to the cumulating evidence linking PM2.5 exposure and elevated PTB risk. Measures of air pollution reduction are needed during pregnancy, especially at early stage of pregnancy to prevent adverse birth outcomes.
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Affiliation(s)
- Chen Chu
- Heart Center, Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China
| | - Yixiang Zhu
- 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, 200032, China
| | - Cong Liu
- 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, 200032, 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, 200032, China
| | - Yingliu Yan
- Ultrasound Department, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Yunyun Ren
- Ultrasound Department, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Xiaotian Li
- Department of Obstetrics, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jimei Wang
- Neonatology Department, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Wenzhen Ge
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY, 10605, United States
| | - 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, 200032, China
| | - Yonghao Gui
- Heart Center, Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
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Heo YJ, Kim HS. Ambient air pollution and endocrinologic disorders in childhood. Ann Pediatr Endocrinol Metab 2021; 26:158-170. [PMID: 34610703 PMCID: PMC8505042 DOI: 10.6065/apem.2142132.066] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/23/2021] [Indexed: 02/01/2023] Open
Abstract
Ambient air pollution has been proposed as an important environmental risk factor that increases global mortality and morbidity. Over the past decade, several human and animal studies have reported an association between exposure to air pollution and altered metabolic and endocrine systems in children. However, the results for these studies were mixed and inconclusive and did not demonstrate causality because different outcomes were observed due to different study designs, exposure periods, and methodologies for exposure measurements. Current proposed mechanisms include altered immune response, oxidative stress, neuroinflammation, inadequate placental development, and epigenetic modulation. In this review, we summarized the results of previous pediatric studies that reported effects of prenatal and postnatal air pollution exposure on childhood type 1 diabetes mellitus, obesity, insulin resistance, thyroid dysfunction, and timing of pubertal onset, along with underlying related mechanisms.
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Affiliation(s)
- You Joung Heo
- Department of Pediatrics, Ewha Women’s University College of Medicine, Seoul, Korea
| | - Hae Soon Kim
- Department of Pediatrics, Ewha Women’s University College of Medicine, Seoul, Korea,Address for correspondence: Hae Soon Kim Department of Pediatrics, Ewha Women’s University College of Medicine, 260, Gonghang-daero, Gangseo-gu, Seoul 07804, Korea
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Johnson NM, Hoffmann AR, Behlen JC, Lau C, Pendleton D, Harvey N, Shore R, Li Y, Chen J, Tian Y, Zhang R. Air pollution and children's health-a review of adverse effects associated with prenatal exposure from fine to ultrafine particulate matter. Environ Health Prev Med 2021; 26:72. [PMID: 34253165 PMCID: PMC8274666 DOI: 10.1186/s12199-021-00995-5] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 07/01/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Particulate matter (PM), a major component of ambient air pollution, accounts for a substantial burden of diseases and fatality worldwide. Maternal exposure to PM during pregnancy is particularly harmful to children's health since this is a phase of rapid human growth and development. METHOD In this review, we synthesize the scientific evidence on adverse health outcomes in children following prenatal exposure to the smallest toxic components, fine (PM2.5) and ultrafine (PM0.1) PM. We highlight the established and emerging findings from epidemiologic studies and experimental models. RESULTS Maternal exposure to fine and ultrafine PM directly and indirectly yields numerous adverse birth outcomes and impacts on children's respiratory systems, immune status, brain development, and cardiometabolic health. The biological mechanisms underlying adverse effects include direct placental translocation of ultrafine particles, placental and systemic maternal oxidative stress and inflammation elicited by both fine and ultrafine PM, epigenetic changes, and potential endocrine effects that influence long-term health. CONCLUSION Policies to reduce maternal exposure and health consequences in children should be a high priority. PM2.5 levels are regulated, yet it is recognized that minority and low socioeconomic status groups experience disproportionate exposures. Moreover, PM0.1 levels are not routinely measured or currently regulated. Consequently, preventive strategies that inform neighborhood/regional planning and clinical/nutritional recommendations are needed to mitigate maternal exposure and ultimately protect children's health.
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Affiliation(s)
- Natalie M Johnson
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA.
| | | | - Jonathan C Behlen
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Carmen Lau
- Department of Veterinary Pathobiology, Texas A&M University, College Station, TX, 77843, USA
| | - Drew Pendleton
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Navada Harvey
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Ross Shore
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Yixin Li
- Department of Chemistry, Texas A&M University, College Station, TX, 77843, USA
| | - Jingshu Chen
- Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, 77843, USA
| | - Yanan Tian
- Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, 77843, USA
| | - Renyi Zhang
- Department of Chemistry, Texas A&M University, College Station, TX, 77843, USA
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Stingone JA, Triantafillou S, Larsen A, Kitt JP, Shaw GM, Marsillach J. Interdisciplinary data science to advance environmental health research and improve birth outcomes. ENVIRONMENTAL RESEARCH 2021; 197:111019. [PMID: 33737076 PMCID: PMC8187296 DOI: 10.1016/j.envres.2021.111019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/08/2021] [Accepted: 03/10/2021] [Indexed: 05/30/2023]
Abstract
Rates of preterm birth and low birthweight continue to rise in the United States and pose a significant public health problem. Although a variety of environmental exposures are known to contribute to these and other adverse birth outcomes, there has been a limited success in developing policies to prevent these outcomes. A better characterization of the complexities between multiple exposures and their biological responses can provide the evidence needed to inform public health policy and strengthen preventative population-level interventions. In order to achieve this, we encourage the establishment of an interdisciplinary data science framework that integrates epidemiology, toxicology and bioinformatics with biomarker-based research to better define how population-level exposures contribute to these adverse birth outcomes. The proposed interdisciplinary research framework would 1) facilitate data-driven analyses using existing data from health registries and environmental monitoring programs; 2) develop novel algorithms with the ability to predict which exposures are driving, in this case, adverse birth outcomes in the context of simultaneous exposures; and 3) refine biomarker-based research, ultimately leading to new policies and interventions to reduce the incidence of adverse birth outcomes.
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Affiliation(s)
- Jeanette A Stingone
- Department of Epidemiology, Columbia University's Mailman School of Public Health, 722 West 168th St, Room 1608, New York, NY, 10032, USA.
| | - Sofia Triantafillou
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alexandra Larsen
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Jay P Kitt
- Departments of Chemistry and Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Judit Marsillach
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
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Friedman C, Dabelea D, Thomas DSK, Peel JL, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Starling AP. Exposure to ambient air pollution during pregnancy and inflammatory biomarkers in maternal and umbilical cord blood: The Healthy Start study. ENVIRONMENTAL RESEARCH 2021; 197:111165. [PMID: 33857458 PMCID: PMC8216209 DOI: 10.1016/j.envres.2021.111165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 04/02/2021] [Accepted: 04/09/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Air pollution exposure during pregnancy has been associated with adverse pregnancy and birth outcomes. Inflammation has been proposed as a potential link. We estimated associations between air pollution exposure during pregnancy and inflammatory biomarkers in maternal and cord blood. We evaluated whether maternal inflammation was associated with infant outcomes. METHODS Among 515 mother-infant dyads in the Healthy Start study (2009-2014), trimester-long, 7- and 30-day average concentrations of particulate matter ≤2.5 μm (PM2.5) and ozone (O3) during pregnancy were estimated, using inverse-distance-weighted interpolation. Inflammatory biomarkers were measured in maternal blood in mid-pregnancy (C-reactive protein [CRP], Interleukin [IL]-6, and tumor necrosis factor-α [TNFα]) and in cord blood at delivery (CRP, IL-6, IL-8, IL-10, monocyte chemoattractant protein-1 [MCP-1], and TNFα). We used linear regression to estimate associations between pollutants and inflammatory biomarkers and maternal inflammatory biomarkers and infant weight and body composition. RESULTS There were positive associations between PM2.5 during certain exposure periods and maternal IL-6 and TNFα. There were negative associations between recent O3 and maternal CRP, IL-6, and TNFα and positive associations between trimester-long O3 exposure and maternal inflammatory biomarkers, though some 95% confidence intervals included the null. Patterns were inconsistent for associations between PM2.5 and O3 and cord blood inflammatory biomarkers. No consistent associations between maternal inflammatory biomarkers and infant outcomes were identified. CONCLUSIONS Air pollution exposure during pregnancy may impact maternal inflammation. Further investigations should examine the health consequences for women and infants of elevated inflammatory biomarkers associated with air pollution exposure during pregnancy.
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Affiliation(s)
- Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah S K Thomas
- Department of Geography and Earth Sciences, University of North Carolina Charlotte, NC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Lee KS, Kim HI, Kim HY, Cho GJ, Hong SC, Oh MJ, Kim HJ, Ahn KH. Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data. Diagnostics (Basel) 2021; 11:diagnostics11030555. [PMID: 33808913 PMCID: PMC8003604 DOI: 10.3390/diagnostics11030555] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 12/30/2022] Open
Abstract
This study uses machine learning and population data to analyze major determinants of preterm birth including depression and particulate matter. Retrospective cohort data came from Korea National Health Insurance Service claims data for 405,586 women who were aged 25–40 years and gave births for the first time after a singleton pregnancy during 2015–2017. The dependent variable was preterm birth during 2015–2017 and 90 independent variables were included (demographic/socioeconomic information, particulate matter, disease information, medication history, obstetric information). Random forest variable importance was used to identify major determinants of preterm birth including depression and particulate matter. Based on random forest variable importance, the top 40 determinants of preterm birth during 2015–2017 included socioeconomic status, age, proton pump inhibitor, benzodiazepine, tricyclic antidepressant, sleeping pills, progesterone, gastroesophageal reflux disease (GERD) for the years 2002–2014, particulate matter for the months January–December 2014, region, myoma uteri, diabetes for the years 2013–2014 and depression for the years 2011–2014. In conclusion, preterm birth has strong associations with depression and particulate matter. What is really needed for effective prenatal care is strong intervention for particulate matters together with active counseling and medication for common depressive symptoms (neglected by pregnant women).
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Affiliation(s)
- Kwang-Sig Lee
- AI Center, Korea University Anam Hospital, Seoul 02841, Korea; (K.-S.L.); (H.-I.K.)
| | - Hae-In Kim
- AI Center, Korea University Anam Hospital, Seoul 02841, Korea; (K.-S.L.); (H.-I.K.)
- School of Industrial Management Engineering, Korea University, Seoul 02841, Korea
- Department of Obstetrics & Gynecology, Korea University Anam Hospital, Seoul 02841, Korea;
| | - Ho Yeon Kim
- Department of Obstetrics & Gynecology, Korea University Ansan Hospital, Ansan 15355, Korea; (H.Y.K.); (H.J.K.)
| | - Geum Joon Cho
- Department of Obstetrics & Gynecology, Korea University Guro Hospital, Seoul 08308, Korea; (G.J.C.); (M.J.O.)
| | - Soon Cheol Hong
- Department of Obstetrics & Gynecology, Korea University Anam Hospital, Seoul 02841, Korea;
| | - Min Jeong Oh
- Department of Obstetrics & Gynecology, Korea University Guro Hospital, Seoul 08308, Korea; (G.J.C.); (M.J.O.)
| | - Hai Joong Kim
- Department of Obstetrics & Gynecology, Korea University Ansan Hospital, Ansan 15355, Korea; (H.Y.K.); (H.J.K.)
| | - Ki Hoon Ahn
- Department of Obstetrics & Gynecology, Korea University Anam Hospital, Seoul 02841, Korea;
- Correspondence: ; Tel.: +82-02-920-6777
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Cassidy-Bushrow AE, Burmeister C, Birbeck J, Chen Y, Lamerato L, Lemke LD, Li J, Mor G, O'Leary BF, Peters RM, Reiners JJ, Sperone FG, Westrick J, Wiewiora E, Straughen JK. Ambient BTEX exposure and mid-pregnancy inflammatory biomarkers in pregnant African American women. J Reprod Immunol 2021; 145:103305. [PMID: 33725526 DOI: 10.1016/j.jri.2021.103305] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/29/2021] [Accepted: 03/02/2021] [Indexed: 11/16/2022]
Abstract
Air pollution is associated with preterm birth (PTB), potentially via inflammation. We recently showed the mixture benzene, toluene, ethylbenzene, and xylene (BTEX) is associated with PTB. We examined if ambient BTEX exposure is associated with mid-pregnancy inflammation in a sample of 140 African-American women residing in Detroit, Michigan. The Geospatial Determinants of Health Outcomes Consortium study collected outdoor air pollution measurements in Detroit; these data were coupled with Michigan Air Sampling Network measurements to develop monthly BTEX concentration estimates at a spatial density of 300 m2. First trimester and mid-pregnancy BTEX exposure estimates were assigned to maternal address. Mid-pregnancy (mean 21.3 ± 3.7 weeks gestation) inflammatory biomarkers (high-sensitivity C-reactive protein, interleukin [IL]-6, IL-10, IL-1β, and tumor necrosis factor-α) were measured with enzyme immunoassays. After covariate adjustment, for every 1-unit increase in first trimester BTEX, there was an expected mean increase in log-transformed IL-1β of 0.05 ± 0.02 units (P = 0.014) and an expected mean increase in log-transformed tumor necrosis factor-α of 0.07 ± 0.02 units (P = 0.006). Similarly, for every 1-unit increase in mid-pregnancy BTEX, there was a mean increase in log IL-1β of 0.06 ± 0.03 units (P = 0.027). There was no association of either first trimester or mid-pregnancy BTEX with high-sensitivity C-reactive protein, IL-10, or IL-6 (all P > 0.05). Ambient BTEX exposure is associated with inflammation in mid-pregnancy in African-American women. Future studies examining if inflammation mediates associations between BTEX exposure and PTB are needed.
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Affiliation(s)
- Andrea E Cassidy-Bushrow
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA; Center for Urban Responses to Environmental Stressors, Wayne State University, 6135 Woodward Ave, Detroit, MI, 48202, USA.
| | - Charlotte Burmeister
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
| | - Johnna Birbeck
- Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI, 48202, USA
| | - Yalei Chen
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
| | - Lois Lamerato
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
| | - Lawrence D Lemke
- Department of Earth and Atmospheric Sciences, Central Michigan University, Brooks Hall 314, Mount Pleasant, MI, 48859, USA
| | - Jia Li
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
| | - Gil Mor
- C.S. Mott Center for Human Growth and Development, Wayne State University, 275 E. Hancock, Detroit, MI, 48201, USA
| | - Brendan F O'Leary
- Department of Civil and Environmental Engineering, Wayne State University, 2100 Engineering Building, Detroit, MI, 48202, USA
| | - Rosalind M Peters
- College of Nursing, Wayne State University, 5557 Cass Avenue, Detroit, MI, 48202, USA
| | - John J Reiners
- Center for Urban Responses to Environmental Stressors, Wayne State University, 6135 Woodward Ave, Detroit, MI, 48202, USA; Institute of Environmental Health Sciences, Wayne State University, 6135 Woodward Ave, Detroit, MI, 48202, USA
| | - F Gianluca Sperone
- Department of Environmental Science and Geology, Wayne State University, 4841 Cass Avenue, Detroit, MI, 48201, USA
| | - Judy Westrick
- Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI, 48202, USA
| | - Evan Wiewiora
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
| | - Jennifer K Straughen
- Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA; Center for Urban Responses to Environmental Stressors, Wayne State University, 6135 Woodward Ave, Detroit, MI, 48202, USA
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Kwag Y, Kim MH, Oh J, Shah S, Ye S, Ha EH. Effect of heat waves and fine particulate matter on preterm births in Korea from 2010 to 2016. ENVIRONMENT INTERNATIONAL 2021; 147:106239. [PMID: 33341584 DOI: 10.1016/j.envint.2020.106239] [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: 02/29/2020] [Revised: 10/21/2020] [Accepted: 10/21/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Previous studies have reported that fine particulate matter (PM2.5) affects the incidence of premature births. In addition, recent studies have suggested that heat waves have a negative impact on birth outcomes. However, the combined effect of PM2.5 and heat waves on the incidence of premature birth is controversial. This study investigated the independent and combined effects of PM2.5 and heat wave exposures during the 1st and 2nd trimesters on premature birth. METHODS The National Statistical Office of Korea provided birth data from 2010 to 2016. Preterm birth was defined as birth between 22 and 36 weeks. To assess the exposure to PM2.5 and heat waves, we used PM2.5 data estimated by the Community Multiscale Air Quality Modeling System (CMAQ) and heat wave warning data provided by the Korea Meteorological Administration. A multivariate logistic regression was used to investigate the risk of preterm birth according to the exposure to PM2.5 and heat waves during the 1st and 2nd trimesters, and it was adjusted for residential area, year of birth, season of birth, parity, education level of the mother, age of the mother, and sex of the baby. RESULTS In the 2nd trimester, compared with the 0 h of heat wave exposure (≤67 percentile), 62.50-314.00 h (79-88 percentile) and>315.00 h of heat wave exposure (>88 percentile) were both significantly associated with preterm birth (OR for 79-88 percentile, 1.037, 95% CI, 1.003-1.073; OR for > 88 percentile, 1.174, 95% CI, 1.134-1.215). However, PM2.5 exposure was not significantly associated with preterm birth. On the other hand, in the analysis to evaluate the combined effect of PM2.5 and heat wave exposures of the 2nd trimester, compared with 0 h of heat wave exposure (≤67 percentile) and<11.64 μg/m3 (≤25 percentile) of PM2.5, 11.64-22.74 μg/m3 (≤25 percentile), 22.74-27.58 μg/m3 (26-50 percentile), and 27.57-32.39 μg/m3 (51-75 percentile) of PM2.5 exposure combined with>315.00 h of heat wave exposure (>88 percentile) were all significantly associated with preterm birth. In addition, the effect size was increased with an increase of PM2.5 exposure (OR for ≤ 25 percentile, 1.148, 95% CI, 1.095-1.203; OR for 26-50 percentile, 1.248, 95% CI, 1.178-1.323; OR for 51-75 percentile, 1.370, 95% CI, 1.245-1.507). CONCLUSION Our findings suggest that the combined effect of heat wave and PM2.5 exposure during the 2nd trimester on the risk of preterm birth was greater than that of each exposure alone. In other words, exposure to PM2.5 increases the impact of heat waves on the risk of preterm birth. These results indicate that control of prenatal exposure to fine particular matter and extreme temperatures is important for the prevention of preterm birth.
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Affiliation(s)
- Youngrin Kwag
- Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Min-Ho Kim
- Ewha University-Industry Collaboration Foundation Ewha Womans University, Seoul, Republic of Korea
| | - Jongmin Oh
- Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Surabhi Shah
- Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Shinhee Ye
- Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Incheon, Republic of Korea.
| | - Eun-Hee Ha
- Department of Occupational and Environmental Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea.
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Shabani S. A mechanistic view on the neurotoxic effects of air pollution on central nervous system: risk for autism and neurodegenerative diseases. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:6349-6373. [PMID: 33398761 DOI: 10.1007/s11356-020-11620-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 11/09/2020] [Indexed: 06/12/2023]
Abstract
Many reports have shown a strong association between exposure to neurotoxic air pollutants like heavy metal and particulate matter (PM) as an active participant and neurological disorders. While the effects of these toxic pollutants on cardiopulmonary morbidity have principally been studied, growing evidence has shown that exposure to polluted air is associated with memory impairment, communication deficits, and anxiety/depression among all ages. So, these toxic pollutants in the environment increase the risk of neurodegenerative disease, ischemia, and autism spectrum disorders (ASD). The precise mechanisms in which air pollutants lead to communicative inability, social inability, and declined cognition have remained unknown. Various animal model studies show that amyloid precursor protein (APP), processing, oxidant/antioxidant balance, and inflammation pathways change following the exposure to constituents of polluted air. In the present review study, we collect the probable molecular mechanisms of deleterious CNS effects in response to various air pollutants.
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Affiliation(s)
- Sahreh Shabani
- Medical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
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Han Y, Wang W, Wang X, Dong T, van Donkelaar A, Martin RV, Chen Y, Kan H, Xia Y. Prenatal exposure to fine particles, premature rupture of membranes and gestational age: A prospective cohort study. ENVIRONMENT INTERNATIONAL 2020; 145:106146. [PMID: 32987218 DOI: 10.1016/j.envint.2020.106146] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 09/10/2020] [Accepted: 09/14/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The associations between maternal exposure to fine particles with aerodynamic diameter ≤ 2.5 μm (PM2.5) and gestational age as well as premature rupture of membranes (PROM) remain unclear. Few studies have focused on preconception exposure and components of fine particles in China. METHODS A total of 1715 pregnant women were enrolled at hospitals affiliated with Nanjing Medical University from 2014 to 2015. Personal exposure to PM2.5 was estimated from preconception to the first trimester. Gestational age and PROM were investigated to explore their associations with PM2.5 and its components. RESULTS From 12 weeks before conception to the end of the first trimester, the gestational age was reduced by 0.89 days (95% CI: -1.37, -0.40) per 10 μg/m3 increment in PM2.5 exposure. After the exposure period was separated into two groups, PM2.5 exposure reduced the gestational age by 0.35 days (95% CI: -0.59, -0.11) in the 12 weeks before pregnancy. With maternal exposure to PM2.5 early in the first trimester, gestational age was reduced by 0.62 days (95% CI: -1.09, -0.14). After mediation analysis, we found that PROM mediated the association between PM2.5 and gestational age from preconception to the first trimester. Components analysis indicated that exposure to black carbon, organic matter, and nitrate increased the risk of PROM and decreased gestational age. CONCLUSION Exposure to PM2.5 as well as some components of PM2.5 before and during early pregnancy was associated with PROM and gestational age. PROM might be a potential mediator in associations between PM2.5 as well as various components and gestational age.
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Affiliation(s)
- Yingying Han
- Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, No. 321 Zhongshan Road, Nanjing, Jiangsu Province 210008, China; State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Weidong Wang
- Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xu Wang
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Tianyu Dong
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, N.S., Canada
| | - Randall V Martin
- Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, United States
| | - Ying Chen
- Central Lab, Wuxi Maternal and Child Health Hospital, Nanjing Medical University, 48 Huaishu Lane, Wuxi 214002, China
| | - Haidong Kan
- Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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Cai J, Zhao Y, Kan J, Chen R, Martin R, van Donkelaar A, Ao J, Zhang J, Kan H, Hua J. Prenatal Exposure to Specific PM 2.5 Chemical Constituents and Preterm Birth in China: A Nationwide Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14494-14501. [PMID: 33146526 DOI: 10.1021/acs.est.0c02373] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Exposure to fine particulate matter (PM2.5) during pregnancy has been associated with preterm birth (PTB). However, the existing evidence is inconsistent, and the roles of specific PM2.5 chemical constituents remain unclear. Based on the China Labor and Delivery Survey, we included birth data from 89 hospitals in 25 provinces in mainland China, and conducted a national multicenter cohort study to examine the associations of PM2.5 and its chemical constituents with PTB risk in China. We applied satellite-based models to predict prenatal PM2.5 mass and six main component exposure. Multilevel logistic regression analysis was used to examine the associations, controlling for sociodemographic characteristics, seasonality, and spatial variation. We observe an increased PTB risk with an increase in PM2.5 mass and the most significant association is found during the third trimester when the adjusted odds ratio (OR) per interquartile range increases in PM2.5 total mass is 1.12 (95% confidence Interval, CI: 1.05-1.20). Infants conceived by assisted reproductive technology (ART) show greater PTB risk associated with PM2.5 exposure (OR = 1.33, 95% CI: 1.05-1.69) than those conceived naturally (OR = 1.11, 95% CI: 1.03-1.19). We also find black carbon, sulfate, ammonium and nitrate, often linked to fossil combustion, have comparable or larger estimates of the effect (OR = 1.07-1.14) than PM2.5. Our findings provide evidence that components mainly from fossil fuel combustion may have a perceptible influence on increased PTB risk associated with PM2.5 exposure in China. Additionally, compared to natural conception, conception through ART may be more susceptible to PM2.5 exposure.
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Affiliation(s)
- Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Typhoon Institute/CMA, Shanghai 200030, China
| | - Yan Zhao
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 201204, China
| | - Julia Kan
- University of Bristol Medical School, Bristol BS8 1TH, U.K
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Randall Martin
- Department of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, Canada
- Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts 02138, United States
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, Canada
| | - Junjie Ao
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200096, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200096, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
- National Center for Children's Health, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Jing Hua
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 201204, China
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Li C, Yang M, Zhu Z, Sun S, Zhang Q, Cao J, Ding R. Maternal exposure to air pollution and the risk of low birth weight: A meta-analysis of cohort studies. ENVIRONMENTAL RESEARCH 2020; 190:109970. [PMID: 32763280 DOI: 10.1016/j.envres.2020.109970] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 05/14/2023]
Abstract
Previous studies have evaluated the relationship between prenatal air pollution exposure and low birth weight, but the results are inconsistent. The purpose of this meta-analysis is to quantitatively analyze the relationship between maternal air pollutant exposure and low birth weight (LBW). PubMed and Web of Science databases were searched to obtain the studies on the relationship between the prenatal exposure of air pollutants and LBW that published as of June 2020. The pooled effects of air pollutant exposure and LBW were calculated using random-effect model (for studies with significant heterogeneity) or fixed-effect model (for studies without significant heterogeneity). Totally, 54 studies were included in this meta-analysis. The pooled effect of PM2.5, PM10, NO2, CO, SO2, and O3 exposure on LBW were 1.081 (95% CI: 1.043, 1.120), 1.053 (95% CI: 1.030, 1.076), 1.030 (95% CI: 1.008, 1.053), 1.007 (95% CI: 1.001, 1.014), 1.125 (95% CI: 1.017, 1.244), and 1.045 (95% CI: 1.005, 1.086), respectively. NO2 (per 10 ppb increase) and CO (per 100 ppb increase) exposure in the first trimester were positively correlated with LBW, of which the pooled effect was 1.022 (95% CI: 1.009, 1. 035) and 1.008 (95% CI: 1.004, 1.012), respectively. PM2.5 (per 10 μg/m3 increase) exposure in the third trimester significantly affected the LBW, of which the pooled effect was 1.053 (95% CI: 1.010, 1.097). In addition, PM10 (per 10 μg/m3 increase) exposure in the second trimester also significantly affected the LBW, with the pooled effect of 1.011 (95% CI: 1.005, 1.017). Prenatal exposure of the major air pollutants during the entire pregnancy could increase the risk of LBW, while the susceptible window of the pollutants varied.
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Affiliation(s)
- Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Mei Yang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Zijian Zhu
- Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Shu Sun
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Qi Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Jiyu Cao
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; Department of Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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Sun Y, Ilango SD, Schwarz L, Wang Q, Chen JC, Lawrence JM, Wu J, Benmarhnia T. Examining the joint effects of heatwaves, air pollution, and green space on the risk of preterm birth in California. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2020; 15:104099. [PMID: 34659452 PMCID: PMC8516119 DOI: 10.1088/1748-9326/abb8a3] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
BACKGROUND Exposure to high air temperature in late pregnancy is increasingly recognized as a risk factor for preterm birth (PTB). However, the combined effects of heatwaves with air pollution and green space are still unexplored. In the context of climate change, investigating the interaction between environmental factors and identifying communities at higher risk is important to better understand the etiological mechanisms and design targeted interventions towards certain women during pregnancy. OBJECTIVES To examine the combined effects of heatwaves, air pollution and green space exposure on the risk of PTB. METHODS California birth certificate records for singleton births (2005-2013) were obtained. Residential zip code-specific daily temperature during the last week of gestation was used to create 12 definitions of heatwave with varying temperature thresholds and durations. We fit multi-level Cox proportional hazard models with time to PTB as the outcome and gestational week as the temporal unit. Relative risk due to interaction (RERI) was applied to estimate the additive interactive effect of air pollution and green space on the effect of heatwaves on PTB. RESULTS In total, 1,967,300 births were included in this study. For PM2.5, PM10 and O3, we found positive additive interactions (RERIs >0) between heatwaves and higher air pollution levels. Combined effects of heatwaves and green space indicated negative interactions (RERIs <0) for less intense heatwaves (i.e., shorter duration or relatively low temperature), whereas there were potential positive interactions (RERIs >0) for more intense heatwaves. CONCLUSION This study found synergistic harmful effects for heatwaves with air pollution, and potential positive interactions with lack of green space on PTB. Implementing interventions, such as heat warning systems and behavioral changes, targeted toward pregnant women at risk for high air pollution and low green space exposures may optimize the benefits of reducing acute exposure to extreme heat before delivery.
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Affiliation(s)
- Yi Sun
- Department of Environmental and Occupational Health, University of California, Irvine, CA 92697-3957, USA
| | - Sindana D. Ilango
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
- School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Lara Schwarz
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
- School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jean M. Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jun Wu
- Department of Environmental and Occupational Health, University of California, Irvine, CA 92697-3957, USA
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA 92093, USA
- Scripps Institution of Oceanography, UC San Diego, La Jolla, CA, 92037, USA
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Thayamballi N, Habiba S, Laribi O, Ebisu K. Impact of Maternal Demographic and Socioeconomic Factors on the Association Between Particulate Matter and Adverse Birth Outcomes: a Systematic Review and Meta-analysis. J Racial Ethn Health Disparities 2020; 8:743-755. [PMID: 32901434 DOI: 10.1007/s40615-020-00835-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/21/2020] [Accepted: 07/27/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND Numerous studies conducted in the United States found associations between prenatal exposure to particulate matter (PM) and adverse birth outcomes, and some studies identified vulnerable populations, including certain racial/ethnic groups and people with low-socioeconomic status. However, their findings are not always consistent. In this review, we compared the risk of adverse birth outcomes due to PM exposures among subpopulations and investigated whether any particular population is more vulnerable. METHODS We selected U.S. studies examining associations between PM exposure during pregnancy and birth outcomes that included results for effect modification by race/ethnicity and/or maternal education. We summarized the findings for various sizes of PM and birth outcomes. Meta-analysis was conducted to quantify vulnerable race/ethnicity for the association between fine PM (PM2.5) and birthweight. RESULTS In total, 19 studies were assessed, and PM-related risks of adverse birth outcomes, particularly those related to fetal growth, likely differ across subpopulations. A meta-analysis from five studies showed that a 10 μg/m3 increase of PM2.5 during the full-gestation reduced birthweight by 21.9 g (95% confidence interval 11.7, 32.0), 15.7 g (10.1, 21.4), 9.3 g (2.7, 15.8), and 5.8 g (- 9.0, 20.7) for Black, White, Hispanic, and Asian mothers, respectively. CONCLUSION Our review indicated that Black mothers and mothers with low educational attainment are more vulnerable subpopulations. More investigation is needed for effect modification by other maternal factors, such as household income. Characterizing and quantifying vulnerable subpopulations are essential for addressing environmental justice since it can help regulatory agencies allocate resources and design policy interventions.
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Affiliation(s)
- Neil Thayamballi
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA.,School of Public Health, University of California, Berkeley, 2121 Berkeley Way, Room 5302, Berkeley, CA, 94720-7360, USA
| | - Sara Habiba
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA.,School of Public Health, University of California, Berkeley, 2121 Berkeley Way, Room 5302, Berkeley, CA, 94720-7360, USA
| | - Ouahiba Laribi
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA
| | - Keita Ebisu
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA, 94612, USA.
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Sun Y, Sheridan P, Laurent O, Li J, Sacks DA, Fischer H, Qiu Y, Jiang Y, Yim IS, Jiang LH, Molitor J, Chen JC, Benmarhnia T, Lawrence JM, Wu J. Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution. ENVIRONMENT INTERNATIONAL 2020; 142:105804. [PMID: 32505016 PMCID: PMC7340571 DOI: 10.1016/j.envint.2020.105804] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 05/06/2020] [Accepted: 05/12/2020] [Indexed: 05/24/2023]
Abstract
BACKGROUND Recent studies have reported inconsistent associations between maternal residential green space and preterm birth (PTB, born < 37 completed gestational weeks). In addition, windows of susceptibility during pregnancy have not been explored and potential interactions of green space with air pollution exposures during pregnancy are still unclear. OBJECTIVES To evaluate the relationships between green space and PTB, identify windows of susceptibility, and explore potential interactions between green space and air pollution. METHODS Birth certificate records for all births in California (2001-2008) were obtained. The Normalized Difference Vegetation Index (NDVI) was used to characterized green space exposure. Gestational age was treated as a time-to-event outcome; Cox proportional hazard models were applied to estimate the association between green space exposure and PTB, moderately PTB (MPTB, gestational age < 35 weeks), and very PTB (VPTB, gestational age < 30 weeks), after controlling for maternal age, race/ethnicity, education, and median household income. Month-specific green space exposure was used to identify potential windows of susceptibility. Potential interactions between green space and air pollution [fine particulate matter < 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3)] were examined on both additive and multiplicative scales. RESULTS In total, 3,753,799 eligible births were identified, including 341,123 (9.09%) PTBs, 124,631 (3.32%) MPTBs, and 22,313 (0.59%) VPTBs. A reduced risk of PTB was associated with increases in residential NDVI exposure in 250 m, 500 m, 1000 m, and 2000 m buffers. In the 2000 m buffer, the association was strongest for VPTB [adjusted hazard ratio (HR) per interquartile range increase in NDVI: 0.959, 95% confidence interval (CI): 0.942-0.976)], followed by MPTB (HR = 0.970, 95% CI: 0.962-0.978) and overall PTB (HR = 0.972, 95% CI: 0.966-0.978). For PTB, green space during the 3rd - 5th gestational months had stronger associations than those in the other time periods, especially during the 4th gestational month (NDVI 2000 m: HR = 0.970, 95% CI: 0.965-0.975). We identified consistent positive additive and multiplicative interactions between decreasing green space and higher air pollution. CONCLUSION This large study found that maternal exposure to residential green space was associated with decreased risk of PTB, MPTB, and VPTB, especially in the second trimester. There is a synergistic effect between low green space and high air pollution levels on PTB, indicating that increasing exposure to green space may be more beneficial for women with higher air pollution exposures during pregnancy.
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Affiliation(s)
- Yi Sun
- Program in Environmental Health Sciences, University of California, Irvine, CA 92697-3957, USA
| | - Paige Sheridan
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Olivier Laurent
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - Jia Li
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - David A Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Heidi Fischer
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Yang Qiu
- Department of Environmental Science and Engineering, College of Architecture and Environment, Sichuan University, #24 First Ring Road South Section One, Chengdu, Sichuan, China
| | - Yu Jiang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ilona S Yim
- Department of Psychological Science, University of California, Irvine, CA 92697-7085, USA
| | - Luo-Hua Jiang
- Department of Epidemiology, University of California, Irvine, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jun Wu
- Program in Environmental Health Sciences, University of California, Irvine, CA 92697-3957, USA; Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA.
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Nielsen CC, Amrhein CG, Shah PS, Stieb DM, Osornio-Vargas AR. Space-time hot spots of critically ill small for gestational age newborns and industrial air pollutants in major metropolitan areas of Canada. ENVIRONMENTAL RESEARCH 2020; 186:109472. [PMID: 32298842 DOI: 10.1016/j.envres.2020.109472] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Revised: 03/29/2020] [Accepted: 03/30/2020] [Indexed: 05/06/2023]
Abstract
We assessed the association of spatiotemporal hot spots of critically ill small for gestational age (ciSGA) newborns and industrial air emissions. Using neonatal admission data from the Canadian Neonatal Network between 2006 and 2010 (n = 32,836 infants), we aggregated maternal residential postal codes from nineteen census metropolitan areas (CMA) into space-time cubes and applied emerging hot spot analyses. Using National Pollutant Release Inventory data (n = 161 chemicals) and Environment Canada weather station data (n = 19 sites), we estimated monthly wind-dispersion of air emissions and calculated hot spots. We associated the patterns using logistic regression, with covariates for low socioeconomic status, NO2 pollution, and number of infants. A total of 5465 infants were identified as ciSGA and the larger CMAs had more and larger hot spots (i.e. accumulation of events in space and time). Seventy-eight industrial chemical hot spots were associated with ciSGA hot spots. The highest number of positive associations were for 28 different pollutants, which differed by CMA. Twenty-one were known or suspected developmental toxicants, such as particulate matter, carbon monoxide, heavy metals, and volatile organic compounds. Associations with hot spots of industrial chemical emissions were geographically specific and may help explain the space-time trends of ciSGA.
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Affiliation(s)
- Charlene C Nielsen
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada; Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Carl G Amrhein
- Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, Canada; Faculty of Arts and Sciences, Aga Khan University, Nairobi, Kenya, Karachi, Pakistan
| | - Prakesh S Shah
- Department of Pediatrics and Institute of Health Policy, Management, and Evaluation, University of Toronto, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - David M Stieb
- Environmental Health Science and Research Bureau, Health Canada, Government of Canada, Vancouver, British Columbia, Canada
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50
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Siddika N, Rantala AK, Antikainen H, Balogun H, Amegah AK, Ryti NRI, Kukkonen J, Sofiev M, Jaakkola MS, Jaakkola JJK. Short-term prenatal exposure to ambient air pollution and risk of preterm birth - A population-based cohort study in Finland. ENVIRONMENTAL RESEARCH 2020; 184:109290. [PMID: 32126375 DOI: 10.1016/j.envres.2020.109290] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND Previous studies have provided evidence that prenatal exposure to low-level air pollution increases the risk of preterm birth (PTB), but the findings of the effects of short-term exposure have been inconclusive. Moreover, there is little knowledge on potential synergistic effects of different combinations of air pollutants. OBJECTIVES To assess independent and joint effects of prenatal exposure to air pollutants during the week prior to the delivery on the risk of PTB. METHODS The study population included 2568 members of the Espoo Cohort Study, living in the City of Espoo, Finland, born between 1984 and 1990. We assessed individual-level prenatal exposure to ambient air pollutants of interest based on maternal residential addresses, while taking into account their residential mobility. We used both regional-to-city-scale dispersion modelling and land-use regression-based method to estimates the pollutant concentrations. We contrasted the risk of PTB in the highest quartile (Q4) of exposure to the lower exposure quartiles (Q1-Q3) during the specific periods of pregnancy. We applied Poisson regression analysis to estimate the adjusted risk ratios (RRs) with their 95% confidence intervals (CI), adjusting for season of birth, maternal age, sex of the baby, family's socioeconomic status, maternal smoking, and exposure to environmental tobacco smoke during pregnancy, single parenthood, and exposure to other air pollutants (this in multi-pollutant models). RESULTS The risk of PTB was related to exposures to PM2.5, PM10 and NO2 during the week prior to the delivery with adjusted RRs of 1.67 (95%CI: 1.14, 2.46), 1.60 (95% CI: 1.09, 2.34) and 1.65 (95% CI: 1.14, 2.37), from three-pollutant models respectively. There were no significant joint effects for these different air pollutants (during the week prior to the delivery). CONCLUSION Our results provide evidence that exposure to fairly low-level air pollution may trigger PTB, but synergistic effects of different pollutants are not likely.
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Affiliation(s)
- Nazeeba Siddika
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Aino K Rantala
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Harri Antikainen
- Geography Research Unit, P.O. Box 3000, 90014, University of Oulu, Oulu, Finland
| | - Hamudat Balogun
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - A Kofi Amegah
- Public Health Research Group, Department of Biomedical Sciences, University Post Office, University of Cape Coast, Cape Coast, Ghana
| | - Niilo R I Ryti
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Jaakko Kukkonen
- Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
| | - Mikhail Sofiev
- Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
| | - Maritta S Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland.
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