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Nyadanu SD, Dunne J, Tessema GA, Mullins B, Kumi-Boateng B, Bell ML, Duko B, Pereira G. Maternal exposure to ambient air temperature and adverse birth outcomes: An umbrella review of systematic reviews and meta-analyses. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170236. [PMID: 38272077 DOI: 10.1016/j.scitotenv.2024.170236] [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: 07/27/2023] [Revised: 12/28/2023] [Accepted: 01/15/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND Multiple systematic reviews on prenatal ambient temperature and adverse birth outcomes exist, but the overall epidemiological evidence and the appropriate metric for thermal stress remain unclear. An umbrella review was performed to summarise and appraise the evidence with recommendations. METHODS Systematic reviews and meta-analyses on the associations between ambient temperature and adverse birth outcomes (preterm birth, stillbirth, birth weight, low birth weight, and small for gestational age) up to December 20, 2023, were synthesised according to a published protocol. Databases PubMed, CINAHL, Scopus, MEDLINE/Ovid, EMBASE/Ovid, Web of Science Core Collection, systematic reviews repositories, electronic grey literature, and references were searched. Risk of bias was assessed using Joanna Briggs Institute's critical appraisal tool. RESULTS Eleven systematic reviews, including two meta-analyses, were included. This comprised 90 distinct observational studies that employed multiple temperature assessment metrics with a very high overlap of primary studies. Primary studies were mostly from the United States while both Africa and South Asia contributed only three studies. A majority (7 out of 11) of the systematic reviews were rated as moderate risk of bias. All systematic reviews indicated that maternal exposures to both extremely high and low temperatures, particularly during late gestation are associated with increased risks of preterm birth, stillbirth, and reduced fetal growth. However, due to great differences in the exposure assessments, high heterogeneity, imprecision, and methodological limitations of the included systematic reviews, the overall epidemiological evidence was classified as probable evidence of causation. No study assessed biothermal metrics for thermal stress. CONCLUSIONS Despite the notable methodological differences, prenatal exposure to extreme ambient temperatures, particularly during late pregnancy, was associated with adverse birth outcomes. Adhering to the appropriate systematic review guidelines for environmental health research, incorporating biothermal metrics into exposure assessment, evidence from broader geodemographic settings, and interventions are recommended in future studies.
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Affiliation(s)
- Sylvester Dodzi Nyadanu
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia; Education, Culture, and Health Opportunities (ECHO) Ghana, ECHO Research Group International, P. O. Box 424, Aflao, Ghana.
| | - Jennifer Dunne
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia
| | - Gizachew A Tessema
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia; School of Public Health, University of Adelaide, Adelaide, South Australia 5000, Australia
| | - Ben Mullins
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia
| | - Bernard Kumi-Boateng
- Department of Geomatic Engineering, University of Mines and Technology, P. O. Box 237, Tarkwa, Ghana
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT 06511, USA
| | - Bereket Duko
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia; enAble Institute, Curtin University, Perth, Kent Street, Bentley, Western Australia 6102, Australia; WHO Collaborating Centre for Climate Change and Health Impact Assessment, Faculty of Health Science, Curtin University, WA, Australia
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Yu Y, Lin H, Liu Q, Ma Y, Zhao L, Li W, Zhou Y, Byun HM, Li P, Li C, Sun C, Chen X, Liu Z, Dong W, Chen L, Deng F, Wu S, Hou S, Guo L. Association of residential greenness, air pollution with adverse birth outcomes: Results from 61,762 mother‑neonatal pairs in project ELEFANT (2011-2021). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169549. [PMID: 38145684 DOI: 10.1016/j.scitotenv.2023.169549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/06/2023] [Accepted: 12/18/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Emerging evidence has demonstrated the benefits of greenness exposure on human health, while conflicts remain unsolved in issue of adverse birth outcomes. METHODS Utilizing data from project ELEFANT spanning the years 2011 to 2021, we assessed residential greenness using the NDVI from MODIS data and residential PM2.5 exposure level from CHAP data. Our primary concerns were PTD, LBW, LGA, and SGA. Cox proportional hazard regression model was used to examine the association of residential greenness and air pollution exposure with risk of adverse birth outcomes. We performed mediation and modification effect analyses between greenness and air pollutant. RESULTS We identified 61,762 mother‑neonatal pairs in final analysis. For per 10 μg/m3 increase in PM2.5 concentration during entire pregnancy was associated with 19.8 % and 20.7 % increased risk of PTD and LGA. In contrast, we identified that an 0.1 unit increment in NDVI were associated with 24 %, 43 %, 26.5 %, and 39.5 % lower risk for PTD, LBW, LGA, and SGA, respectively. According to mediation analysis, NDVI mediated 7.70 % and 7.89 % of the associations between PM2.5 and PTD and LGA. Residential greenness could reduce the risk of PTD among mothers under 35 years old, living in rural areas, primigravidae and primiparity.. CONCLUSIONS In summary, our results highlighted the potential of residential greenness to mitigate the risk of adverse birth outcomes, while also pointing to the adverse impact of PM2.5 on increased risk of multiple adverse birth outcomes (PTD and LGA). The significant mediation effect of NDVI emphasizes its potential as an important protective factor of PM2.5 exposure. Additionally, the identification of susceptible subgroups can inform targeted interventions to reduce adverse birth outcomes related to air pollution and lack of green spaces. Further research and understanding of these associations can contribute to better public health strategies aimed at promoting healthier pregnancies and birth outcomes.
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Affiliation(s)
- Yuanyuan Yu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Yuxuan Ma
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Weixia Li
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Yan Zhou
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Hyang-Min Byun
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle Upon Tyne NE4 5PL, UK
| | - Penghui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Chen Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Congcong Sun
- Department of Scientific Research Center, The Third Clinical Institute Affiliated of Wenzhou Medical University, The Third Affiliated of Shanghai University, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Wenzhou, China
| | - Xuemei Chen
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Ziquan Liu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Wenlong Dong
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China
| | - Liqun Chen
- Academy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Shike Hou
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.
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Harper T, Kuohung W, Sayres L, Willis MD, Wise LA. Optimizing preconception care and interventions for improved population health. Fertil Steril 2023; 120:438-448. [PMID: 36516911 DOI: 10.1016/j.fertnstert.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 11/18/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
There is growing literature indicating that optimal preconception health is associated with improved reproductive, perinatal, and pediatric outcomes. Given that preconception care is recommended for all individuals planning a pregnancy, medical providers and public health practitioners have a unique opportunity to optimize care and improve health outcomes for reproductive-aged individuals. Knowledge of the determinants of preconception health is important for all types of health professionals, including policy makers. Although some evidence-based recommendations have already been implemented, additional research is needed to identify factors associated with favorable health outcomes and to ensure that effective interventions are made in a timely fashion. Given the largely clinical readership of this journal, this piece is primarily focused on clinical care. However, we acknowledge that optimizing preconception health for the entire population at risk of pregnancy requires broadening our strategies to include population-health interventions that consider the larger social systems, structures, and policies that shape individual health outcomes.
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Affiliation(s)
- Teresa Harper
- Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
| | - Wendy Kuohung
- Division of Reproductive Endocrinology, Department of Obstetrics and Gynecology, Boston University School of Medicine, Boston, Massachusetts
| | - Lauren Sayres
- Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
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Huang Y, Wu S, Luo H, Yang Y, Xu J, Zhang Y, Wang Q, Shen H, Zhang Y, Yan D, Jiang L, Zhang H, Chen R, Kan H, Cai J, He Y, Ma X. Association of Fine Particulate Matter and Its Components with Macrosomia: A Nationwide Birth Cohort Study of 336 Chinese Cities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11465-11475. [PMID: 37493575 DOI: 10.1021/acs.est.3c03280] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
To examine the associations between macrosomia risk and exposure to fine particulate matter (PM2.5) and its chemical components during pregnancy, we collected birth records between 2010 and 2015 in mainland China from the National Free Preconception Health Examination Project and used satellite-based models to estimate concentrations of PM2.5 mass and five main components, namely, black carbon (BC), organic carbon (OC), nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+). Associations between macrosomia risk and prenatal exposure to PM2.5 were examined by logistic regression analysis, and the sensitive subgroups were explored by stratified analyses. Of the 3,248,263 singleton newborns from 336 cities, 165,119 (5.1%) had macrosomia. Each interquartile range increase in concentration of PM2.5 during the entire pregnancy was associated with increased risk of macrosomia (odds ratio (OR) = 1.18; 95% confidence interval (CI), 1.17-1.20). Among specific components, the largest effect estimates were found on NO3- (OR = 1.36; 95% CI, 1.35-1.38) followed by OC (OR = 1.23; 95% CI, 1.22-1.24), NH4+ (OR = 1.22; 95% CI, 1.21-1.23), and BC (OR = 1.21; 95% CI, 1.20-1.22). We also that found boys, women with a normal or lower prepregnancy body mass index, and women with irregular or no folic acid supplementation experienced higher risk of macrosomia associated with PM2.5 exposure.
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Affiliation(s)
- Yuxin Huang
- 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
| | - Shenpeng Wu
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Huihuan Luo
- 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
| | - Ying Yang
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
| | - Jihong Xu
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
| | - Ya Zhang
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan 450002, China
| | - Hongping Zhang
- Wenzhou People's Hospital/Wenzhou Maternal and Child Health Care Hospital/The Third Clinical Institute Affiliated to Wenzhou Medical University/The Third Affiliated Hospital of Shanghai University, Wenzhou, Zhejiang 325000, China
| | - 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
| | - 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
| | - 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
| | - Yuan He
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xu Ma
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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5
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Guo L, Lin H, Li H, Jin X, Zhao L, Li P, Xu N, Xu S, Fang J, Wu S, Liu Q. Exposure of ambient PM 2.5 during gametogenesis period affects the birth outcome: Results from the project ELEFANT. ENVIRONMENTAL RESEARCH 2023; 220:115204. [PMID: 36592810 DOI: 10.1016/j.envres.2022.115204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/02/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Various environmental and behavioural factors influence neonatal health. Gamete formation (gametogenesis) is a crucial period which affects embryo development and neonatal health and ambient air pollution exposure at this stage may lead to an adverse birth outcome. Previous epidemiological and toxicological research demonstrated a strong association between maternal ambient air pollution exposure and adverse birth outcomes. However, the joint exposure-outcome of paternal exposure (76 days before the last menstruation and 14 days after the last menstruation) and maternal exposure (14 days after the last menstruation) when exploring the mechanism of the influence of air pollutants on pregnancy outcome and neonatal health remains unexplored. Here, in the Project Environmental and LifEstyle FActors iN metabolic health throughout life-course Trajectories (ELEFANT), we collected the data of 10,960 singleton pregnant women with 24-42 completed gestational weeks and included them in this study. A multinominal logistic regression model was applied to investigate the association between adverse birth outcomes and ambient PM2.5 exposure levels during spermatogenesis and oogenesis. Results from the binary classification of ambient PM2.5 exposure showed that the risk of abnormal birthweight was significantly greater when ambient PM2.5 exposure was both higher during spermatogenesis and oogenesis, with RRs of 1.86 (95% CI: 1.02, 3.39). The risk of macrosomia (RR: 1.88 (95% CI: 1.13, 3.12)) increased significantly when ambient PM2.5 levels were higher during spermatogenesis. Primiparity and primigravity are more likely to be influenced by higher ambient PM2.5 levels during spermatogenesis. In conclusion, more attention should be paid to higher exposure level of ambient PM2.5 during spermatogenesis.
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Affiliation(s)
- Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Hongyu Li
- Office for National Clinical Research Center for Geriatric Diseases, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, China
| | - Xiaobin Jin
- Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, 300072, China
| | - Penghui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Naiwei Xu
- Department of Operation Management, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Song Xu
- Department of Operation Management, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Junkai Fang
- Tianjin Healthcare Affair Center, Tianjin, 300041, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shanxi, China.
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China.
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Su YF, Li C, Xu JJ, Zhou FY, Li T, Liu C, Wu YT, Huang HF. Associations between short-term and long-term exposure to particulate matter and preterm birth. CHEMOSPHERE 2023; 313:137431. [PMID: 36455656 DOI: 10.1016/j.chemosphere.2022.137431] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 11/24/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Despite the longstanding evidence on the effect of air pollutants on preterm birth (PTB), few studies have focused on its subtypes, including spontaneous preterm birth (sPTB) and medically indicated preterm birth (miPTB). Most studies evaluated only the short-term or long-term effects of particulate matter (PM) on PTB. Thus, we designed this study, based on a cohort of 179,385 women, to evaluate both short- and long-term effects of PM with diameters ≤2.5 μm and ≤10 μm (PM2.5 and PM10) on PTB, sPTB and miPTB in Shanghai. Generalized additive models (GAMs) were applied to evaluate short-term effects. Lagged effects were identified using different lag structures. Exposure-response correlation curves were plotted using GAMs after adjustment for confounders. ORs and 95% CIs were calculated using logistic regression to estimate the long-term effect after adjustment for confounders. There was 5.67%, 3.70% and 1.98% daily incidence of PTB, sPTB, and miPTB on average. Every 10 μg/m3 increase in PM2.5 and PM10 was positively associated with PTB and sPTB at lag 2 day. The exposure-response curves (lag 2 day) indicated a rapid increase in sPTB for PM2.5 and a linear increase for PM10, in PTB for PM2.5 and PM10 at concentrations over 100 μg/m3. Regarding long-term exposure, positive associations were found between 10 μg/m3 increases in PM2.5 and PM10 in 3rd trimester and greater odds of sPTB (aOR: 1.042, 95% CI: 1.018-1.065, and 1.018, 95% CI:1.002-1.034), and during the 3 months before conception and miPTB (aOR: 1.023, 95% CI: 1.003-1.042, and 1.017, 95% CI: 1.000-1.036). Acute exposure to PM2.5 and PM10 at lag 2 day and chronic exposure in 3rd trimester was significantly associated with sPTB, while miPTB was related to chronic exposure during the 3 months before pregnancy. These findings indicate that susceptibility windows of PM exposure can be influenced by different underlying etiologies of PTB.
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Affiliation(s)
- Yun-Fei Su
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Cheng Li
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
| | - Jing-Jing Xu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
| | - Fang-Yue Zhou
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Tao Li
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 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.
| | - Yan-Ting Wu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
| | - He-Feng Huang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China; Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, China.
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Maternal exposure to PM2.5 decreases ovarian reserve in neonatal offspring mice through activating PI3K/AKT/FoxO3a pathway and ROS-dependent NF-κB pathway. Toxicology 2022; 481:153352. [DOI: 10.1016/j.tox.2022.153352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 11/19/2022]
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8
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Shen Y, Wang C, Yu G, Meng X, Wang W, Kan H, Zhang J, Cai J. Associations of Ambient Fine Particulate Matter and Its Chemical Constituents with Birth Weight for Gestational Age in China: A Nationwide Survey. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8406-8415. [PMID: 35609000 DOI: 10.1021/acs.est.1c08393] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This study examined the associations of fine particulate matter (PM2.5) and its chemical constituents with risks of small for gestational age (SGA) and large for gestational age (LGA). Based on the China Labor and Delivery Survey, we included 70,206 birth records from 24 provinces in China. Concentrations of PM2.5 mass and six main constituents were estimated using satellite-based models. Logistic regression analysis was used to examine the associations, adjusted for sociodemographic characteristics and time trends. We found that an interquartile range increase in PM2.5 exposure during pregnancy was associated with 16% (95% confidence interval [CI]: 3-30%) and 11% (95% CI: 1-22%) higher risk of SGA and LGA, respectively. Elevated risk of SGA was associated with exposure to black carbon [odds ratio (OR) = 1.15, 95% CI: 1.00-1.32], ammonium (OR = 1.12, 95% CI: 1.01-1.25), and sulfate (OR = 1.12, 95% CI: 1.04-1.21); while increased risk of LGA was associated with exposure to black carbon (OR = 1.13, 95% CI: 1.02-1.26), ammonium (OR = 1.13, 95% CI: 1.03-1.24), sulfate (OR = 1.08, 95% CI: 1.01-1.15), and nitrate (OR = 1.14, 95% CI: 1.03-1.27). Our findings provide evidence that PM2.5 exposure was associated with increased risks of SGA and LGA, and constituents related to emissions from anthropogenic sources may play important roles in these associations.
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Affiliation(s)
- Yang Shen
- 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
| | - Cuiping Wang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Guoqi Yu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Xia Meng
- 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
| | - Weidong Wang
- 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
| | - 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
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - 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
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Nobile S, Di Sipio Morgia C, Vento G. Perinatal Origins of Adult Disease and Opportunities for Health Promotion: A Narrative Review. J Pers Med 2022; 12:jpm12020157. [PMID: 35207646 PMCID: PMC8877993 DOI: 10.3390/jpm12020157] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 01/27/2023] Open
Abstract
The “developmental origins of health and disease” (DOHaD) hypothesis refers to the influence of early developmental exposures and fetal growth on the risk of chronic diseases in later periods. During fetal and early postnatal life, cell differentiation and tissue formation are influenced by several factors. The interaction between genes and environment in prenatal and early postnatal periods appears to be critical for the onset of multiple diseases in adulthood. Important factors influencing this interaction include genetic predisposition, regulation of gene expression, and changes in microbiota. Premature birth and intrauterine growth restriction (IUGR) are other important factors considered by the DOHaD hypothesis. Preterm birth is associated with impaired or arrested structural or functional development of key organs/systems, making preterm infants vulnerable to cardiovascular, respiratory, and chronic renal diseases during adulthood. Growth restriction, defined as impaired fetal growth compared to expected biological potential in utero, is an additional negative factor increasing the risk of subsequent diseases. Environmental factors implicated in the developmental programming of diseases include exposure to pollution, stress, drugs, toxic agents, nutrition, and exercise. The DOHaD may explain numerous conditions, including cardiovascular, metabolic, respiratory, neuropsychiatric, and renal diseases. Potential antenatal and postnatal preventive measures, interventions, and future directions are discussed.
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