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Li J, Gu J, Liu L, Cao M, Wang Z, Tian X, He J. The relationship between air pollutants and preterm birth and blood routine changes in typical river valley city. BMC Public Health 2024; 24:1677. [PMID: 38915004 PMCID: PMC11197378 DOI: 10.1186/s12889-024-19140-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/13/2024] [Indexed: 06/26/2024] Open
Abstract
OBJECTIVE To collect maternal maternity information on preterm births in two tertiary hospitals in the urban area of Baota District, Yan'an City, from January 2018 to December 2020, to explore the long-term and short-term effects of air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) and preterm births, and to explore changes in blood cell counts due to air pollutants. METHODS Daily average mass concentration data of six air pollutants in the urban area of Yan'an City from January 1, 2017 to December 31, 2020 were collected from the monitoring station in Baota District, Yan'an City. Meteorological information was obtained from the Meteorological Bureau of Yan'an City, including temperature,relative humidity and wind speed for the time period. The mass concentration of air pollutants in each exposure window of pregnant women was assessed by the nearest monitoring station method, and conditional logistic regression was used to analyze the relationship between air pollutants and preterm births, as well as the lagged and cumulative effects of air pollutants. Multiple linear regression was used to explore the relationship between air pollutants and blood tests after stepwise linear regression was used to determine confounders for each blood test. RESULTS The long-term effects of pollutants showed that PM2.5, PM10, SO2, NO2and CO were risk factors for preterm birth. In the two-pollutant model, PM2.5, PM10, SO2 and NO2 mixed with other pollutants were associated with preterm birth. The lagged effect showed that PM2.5, PM10, SO2, NO, and CO were associated with preterm birth; the cumulative effect showed that other air pollutants except O3 were associated with preterm birth. The correlation study between air pollutants and blood indicators showed that air pollutants were correlated with leukocytes, monocytes, basophils, erythrocytes, hs-CRPand not with CRP. CONCLUSION Exposure to air pollutants is a risk factor for preterm birth. Exposure to air pollutants was associated with changes in leukocytes, monocytes, basophils and erythrocytes and hs-CRP.
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Affiliation(s)
- Jimin Li
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jiajia Gu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lang Liu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Meiying Cao
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Zeqi Wang
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Xi Tian
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jinwei He
- Medical School of Yan'an University, Yan'an, Shaanxi, China.
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Li J, Yang B, Liu L, Gu J, Cao M, Wu L, He J. Relationship between air pollutants and spontaneous abortion in a coal resource valley city: a retrospective cohort study. J Matern Fetal Neonatal Med 2023; 36:2281876. [PMID: 37968927 DOI: 10.1080/14767058.2023.2281876] [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: 07/01/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023]
Abstract
OBJECTIVE Pollutants in the atmosphere have been linked to poor pregnancy outcomes in women. However, such investigations are scarce in metropolitan northern China. The major exposure window of air pollution affecting pregnant women is also unknown. METHODS For the analysis, this retrospective cohort study enrolled 6960 pregnant women recorded at Tongchuan People's Hospital from January 2018 to December 2019. Pollutant concentration values from the nearest monitoring station to the pregnant women were used to estimate exposure doses for each exposure window. Logistic regression models were created to investigate the connection between pollutants and spontaneous abortion while controlling for confounding factors. RESULTS PM2.5 was a risk factor for spontaneous abortion in T3 (30-60 days before the first day of the last menstrual period [LMP]), (OR: 1.305, 95% CI: 1.143-1.490) and T4 (60-90 days before the first day of the LMP),(OR: 1.450, 95% CI: 1.239-1.696) after controlling for covariates. In the same window, PM10 was a risk factor (OR: 1.308, 95% CI: 1.140-1.500), (OR: 1.386, 95% CI: 1.184-1.621). In T2 (30 days before the first day of the LMP), T3, and T4, SO2 was a risk factor for spontaneous abortion (OR: 1.185, 95% CI: 1.025-1.371), (OR: 1.219, 95% CI: 1.071-1.396), (OR: 1.202, 95% CI: 1.040-1.389). In T3 and T4, NO2 was a risk factor (OR: 1.171, 95% CI: 1.019- 1.346), (OR: 1.443, 95% CI: 1.259-1.655). In T1 (from the first day of the LMP to the date of abortion), O3 was found to be a risk factor (OR: 1.366, 95% CI: 1.226-1.521). CONCLUSION Exposure to high levels of air pollutants before and during pregnancy may be a risk factor for spontaneous abortion in pregnant women. This study further illustrates the importance of reducing air pollution emissions.
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Affiliation(s)
- Jimin Li
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Boya Yang
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lang Liu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jiajia Gu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Meiying Cao
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lili Wu
- Medical Records Room of Tongchuan People's Hospital, Tongchuan, Shaanxi, China
| | - Jinwei He
- Medical School of Yan'an University, Yan'an, Shaanxi, China
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Grobman WA, Sandoval GJ, Metz TD, Manuck TA, Clifton RG, Hughes BL, Saade GR, Longo M, Sowles A, Clark K, Simhan HN, Rouse DJ, Mendez-Figueroa H, Gyamfi-Bannerman C, Bailit JL, Costantine MM, Sehdev HM, Tita ATN, Macones GA. The Temporal Relationship Between the Coronavirus Disease 2019 (COVID-19) Pandemic and Preterm Birth. Obstet Gynecol 2023; 141:1171-1180. [PMID: 37141586 PMCID: PMC10440253 DOI: 10.1097/aog.0000000000005171] [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: 10/21/2022] [Accepted: 02/02/2023] [Indexed: 05/06/2023]
Abstract
OBJECTIVE To evaluate whether preterm birth rates changed in relation to the onset of the coronavirus disease 2019 (COVID-19) pandemic and whether any change depended on socioeconomic status. METHODS This is an observational cohort study of pregnant individuals with a singleton gestation who delivered in the years 2019 and 2020 at 1 of 16 U.S. hospitals of the Maternal-Fetal Medicine Units Network. The frequency of preterm birth for those who delivered before the onset of the COVID-19 pandemic (ie, in 2019) was compared with that of those who delivered after its onset (ie, in 2020). Interaction analyses were performed for people of different individual- and community-level socioeconomic characteristics (ie, race and ethnicity, insurance status, Social Vulnerability Index (SVI) of a person's residence). RESULTS During 2019 and 2020, 18,526 individuals met inclusion criteria. The chance of preterm birth before the COVID-19 pandemic was similar to that after the onset of the pandemic (11.7% vs 12.5%, adjusted relative risk 0.94, 95% CI 0.86-1.03). In interaction analyses, race and ethnicity, insurance status, and the SVI did not modify the association between the epoch and the chance of preterm birth before 37 weeks of gestation (all interaction P >.05). CONCLUSION There was no statistically significant difference in preterm birth rates in relation to the COVID-19 pandemic onset. This lack of association was largely independent of socioeconomic indicators such as race and ethnicity, insurance status, or SVI of the residential community in which an individual lived.
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Affiliation(s)
- William A Grobman
- Departments of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois, the University of Utah Health Sciences Center, Salt Lake City, Utah, the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, the University of Texas Medical Branch, Galveston, Texas, the University of Pittsburgh, Pittsburgh, Pennsylvania, Brown University, Providence, Rhode Island, the University of Texas Health Science Center at Houston and Children's Memorial Hermann Hospital, Houston, Texas, Columbia University, New York, New York, MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio, The Ohio State University, Columbus, Ohio, the University of Pennsylvania, Philadelphia, Pennsylvania, the University of Alabama at Birmingham, Birmingham, Alabama, and the University of Texas at Austin, Austin, Texas; the George Washington University Biostatistics Center, Washington, DC; and the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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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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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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Wesselink AK, Wellenius GA. Impacts of climate change on reproductive, perinatal and paediatric health. Paediatr Perinat Epidemiol 2022; 36:1-3. [PMID: 34951027 DOI: 10.1111/ppe.12839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 11/11/2021] [Indexed: 11/29/2022]
Affiliation(s)
- Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
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