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Pedersen M, Nobile F, Stayner LT, de Hoogh K, Brandt J, Stafoggia M. Ambient air pollution and hypertensive disorders of pregnancy in Rome. ENVIRONMENTAL RESEARCH 2024; 251:118630. [PMID: 38452913 DOI: 10.1016/j.envres.2024.118630] [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: 12/07/2023] [Revised: 02/25/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Ambient air pollution has been associated with hypertensive disorders of pregnancy (HDP), but few studies rely on assessment of fine-scale variation in air quality, specific subtypes and multi-pollutant exposures. AIM To study the impact of long-term exposure to individual and mixture of air pollutants on all and specific subtypes of HDP. METHODS We obtained data from 130,470 liveborn singleton pregnacies in Rome during 2014-2019. Spatiotemporal land-use random-forest models at 1 km spatial resolution assigned to the maternal residential addresses were used to estimate the exposure to particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), and ozone (O3). RESULTS For PM2.5, PM10 and NO2, there was suggestive evidence of increased risk of preeclampsia (PE, n = 442), but no evidence of increased risk for all subtypes of HDP (n = 2297) and gestational hypertension (GH, n = 1901). For instance, an interquartile range of 7.0 μg/m3 increase in PM2.5 exposure during the first trimester of pregnancy was associated with an odds ratio (OR) of 1.06 (95% confidence interval: 0.81, 1.39) and 1.04 (0.92, 1.17) after adjustment for NO2 and the corresponding results for a 15.7 μg/m3 increase in NO2 after adjustment for PM2.5 were 1.11 (0.92, 1.34) for PE and 0.83 (0.76, 0.90) for HDP. Increased risks for HDP and GH were suggested for O3 in single-pollutant models and for PM after adjustment for NO2, but all other associations were stable or attenuated in two-pollutant models. CONCLUSIONS The results of our study suggest that PM2.5, PM10 and NO2 increases the risk of PE and that these effects are robust to adjustment for O3 while the increased risks for GH and HDP suggested for O3 attenuated after adjustment for PM or NO2. Additional studies are needed to evaluate the effects of source-specific component of PM on subtypes as well as all types of HDP which would help to target preventive actions.
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Affiliation(s)
- Marie Pedersen
- Department of Epidemiology, Lazio Region Health Service/ASL Roma, Rome, Italy.
| | - Federica Nobile
- Department of Epidemiology, Lazio Region Health Service/ASL Roma, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Kees de Hoogh
- The Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service/ASL Roma, Rome, Italy; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Li Y, Yang Z. The causal effect of exposure to air pollution on risk of adverse pregnancy outcomes: A two-sample Mendelian randomisation study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172234. [PMID: 38615756 DOI: 10.1016/j.scitotenv.2024.172234] [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: 01/22/2024] [Revised: 03/10/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Epidemiological studies have examined the relation between air pollution (NOx, NO2, PM2.5, PM2.5-10, and PM10) and adverse pregnancy outcomes (APOs). There's increasing evidence that air pollution increases the risk of APOs. However, the results of these studies are controversial, and the causal relation remains uncertain. We aimed to assess whether a genetic causal link exists between air pollution and APOs and the potential effects of this relation. METHODS A novel two-sample Mendelian randomisation (MR) study used pooled data from a large-scale complete genome correlation study. The primary analysis method was inverse variance weighting (IVW), which explored the expose-outcome relationship for assessing single nucleotide polymorphisms (SNPs) associated with air pollution. Further sensitivity analysis, including MR-PRESSO, MR-Egger regression, and leave-one analysis, was used to test the consistency of the results. RESULTS There was a significant correlation between air pollution-related SNPs and APOs. A robust causal link was found between genetic susceptibility to air pollution and APOs. CONCLUSIONS Our MR analysis reveals a genetic causal relation between air pollution and APOs, which may help provide new insights into further mechanisms and clinical studies in air pollution-mediated APOs.
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Affiliation(s)
- Yanhui Li
- Department of Obstetrics and Gynecology, Shandong University Qilu Hospital, 107 Wenhua West Road, Lixia District, Jinan City, Shandong Province, China.
| | - Zhou Yang
- Department of Obstetrics and Gynecology, Shandong University Qilu Hospital, 107 Wenhua West Road, Lixia District, Jinan City, Shandong Province, China
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Ahn TG, Kim YJ, Lee G, You YA, Kim SM, Chae R, Hur YM, Park MH, Bae JG, Lee SJ, Kim YH, Na S. Association Between Individual Air Pollution (PM 10, PM 2.5) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study. J Korean Med Sci 2024; 39:e131. [PMID: 38599601 PMCID: PMC11004777 DOI: 10.3346/jkms.2024.39.e131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 03/05/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Prenatal exposure to ambient air pollution is linked to a higher risk of unfavorable pregnancy outcomes. However, the association between pregnancy complications and exposure to indoor air pollution remains unclear. The Air Pollution on Pregnancy Outcomes research is a hospital-based prospective cohort research created to look into the effects of aerodynamically exposed particulate matter (PM)10 and PM2.5 on pregnancy outcomes. METHODS This prospective multicenter observational cohort study was conducted from January 2021 to June 2023. A total of 662 women with singleton pregnancies enrolled in this study. An AirguardK® air sensor was installed inside the homes of the participants to measure the individual PM10 and PM2.5 levels in the living environment. The time-activity patterns and PM10 and PM2.5, determined as concentrations from the time-weighted average model, were applied to determine the anticipated exposure levels to air pollution of each pregnant woman. The relationship between air pollution exposure and pregnancy outcomes was assessed using logistic and linear regression analyses. RESULTS Exposure to elevated levels of PM10 throughout the first, second, and third trimesters as well as throughout pregnancy was strongly correlated with the risk of pregnancy problems according to multiple logistic regression models adjusted for variables. Except for in the third trimester of pregnancy, women exposed to high levels of PM2.5 had a high risk of pregnancy complications. During the second trimester and entire pregnancy, the risk of preterm birth (PTB) increased by 24% and 27%, respectively, for each 10 μg/m3 increase in PM10. Exposure to high PM10 levels during the second trimester increased the risk of gestational diabetes mellitus (GDM) by 30%. The risk of GDM increased by 15% for each 5 μg/m3 increase in PM2.5 during the second trimester and overall pregnancy, respectively. Exposure to high PM10 and PM2.5 during the first trimester of pregnancy increased the risk of delivering small for gestational age (SGA) infants by 96% and 26%, respectively. CONCLUSION Exposure to high concentrations of PM10 and PM2.5 is strongly correlated with the risk of adverse pregnancy outcomes. Exposure to high levels of PM10 and PM2.5 during the second trimester and entire pregnancy, respectively, significantly increased the risk of PTB and GDM. Exposure to high levels of PM10 and PM2.5 during the first trimester of pregnancy considerably increased the risk of having SGA infants. Our findings highlight the need to measure individual particulate levels during pregnancy and the importance of managing air quality in residential environment.
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Affiliation(s)
- Tae Gyu Ahn
- Department of Obstetrics and Gynecology, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Young Ju Kim
- Department of Obstetrics and Gynecology, Ewha Womans University Mokdong Hospital, Ewha Medical Research Institute College of Medicine, Seoul, Korea
| | - Gain Lee
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Korea
| | - Young-Ah You
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Soo Min Kim
- Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Korea
| | - Rin Chae
- Division of Artificial Intelligence and Software/Artificial Intelligence Convergence, Ewha Womans University, Seoul, Korea
| | - Young Min Hur
- Department of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Mi Hye Park
- Department of Obstetrics and Gynecology, Ewha Womans University Seoul Hospital, Seoul, Korea
| | - Jin-Gon Bae
- Department of Obstetrics and Gynecology, School of Medicine, Keimyung University, Dongsan Medical Center, Daegu, Korea
| | - Soo-Jeong Lee
- Department of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea
| | - Young-Han Kim
- Department of Obstetrics and Gynecology, Severance Hospital, Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, Korea.
| | - Sunghun Na
- Department of Obstetrics and Gynecology, Kangwon National University School of Medicine, Chuncheon, Korea.
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Liu X, Na J, Liu X, Jia X, Ren M, Chen J, Han B, Xu J, Li N, Li Z, Wang B. Co-exposure to phthalates and polycyclic aromatic hydrocarbons and the risk of gestational hypertension in Chinese women. ENVIRONMENT INTERNATIONAL 2024; 185:108562. [PMID: 38460239 DOI: 10.1016/j.envint.2024.108562] [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: 12/25/2023] [Revised: 02/20/2024] [Accepted: 03/04/2024] [Indexed: 03/11/2024]
Abstract
Phthalates (PAEs) and polycyclic aromatic hydrocarbons (PAHs) are frequently detected in females of reproductive age. Many studies have found that environmental PAE and PAH levels are independent risk factors for gestational hypertension. However, exposure to both components is a more realistic scenario. To better assess the health effects of PAEs and PAHs in pregnant women, we explored the associations of exposure to both individual and combined PAEs and PAHs with gestational hypertension. This nested case-control study was a component of a prospective cohort study conducted in Beijing, China. We included 206 women with gestational hypertension and 214 pregnant controls. We used gas chromatography/tandem mass spectrometry (GC-MS/MS) to detect 8 PAEs and 13 PAHs in > 80 % of all collected hair samples. Multiple linear regression models were employed to test the individual associations between each component and gestational hypertension. A quantile-based g-computation (qgcomp) model and a weighted quantile sum (WQS) regression model were used to estimate whether exposure to both PAEs and PAHs increased the risk of gestational hypertension. The individual exposure analyses revealed that diethyl phthalate (DEP), diisobutyl phthalate (DIBP) (both PAEs), benzo(k)fluoranthene (BKF), anthracene, (ANT), and benzo(a)pyrene (BAP) (all PAHs) were positively associated with increased risk of gestational hypertension. In mixed-effect analyses, the qgcomp model indicated that co-exposure to PAEs and PAHs increased the risk of gestational hypertension (odds ratio = 2.01; 95 % confidence interval: 1.02, 3.94); this finding was verified by the WQS regression model. Our findings support earlier evidence that both PAEs and PAHs increase the risk of gestational hypertension, both individually and in combination. This suggests that reductions in exposure to endocrine system-disrupting chemicals such as PAEs and PAHs might reduce the risk of gestational hypertension.
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Affiliation(s)
- Xiaowen Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Jigen Na
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China; Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Xiaojing Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Xiaoqian Jia
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Mengyuan Ren
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Junxi Chen
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Nan Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China.
| | - Zhiwen Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Bin Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, China
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5
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Zhu K, Mendola P, Barnabei VM, Wang M, Hageman Blair R, Schwartz J, Shelton J, Lei L, Mu L. Association of prenatal exposure to PM 2.5 and NO 2 with gestational diabetes in Western New York. ENVIRONMENTAL RESEARCH 2024; 244:117873. [PMID: 38072106 DOI: 10.1016/j.envres.2023.117873] [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: 08/18/2023] [Revised: 11/20/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Although many studies have examined the association between prenatal air pollution exposure and gestational diabetes (GDM), the relevant exposure windows remain inconclusive. We aim to examine the association between preconception and trimester-specific exposure to PM2.5 and NO2 and GDM risk and explore modifying effects of maternal age, pre-pregnancy body mass index (BMI), smoking, exercise during pregnancy, race and ethnicity, and neighborhood disadvantage. METHODS Analyses included 192,508 birth records of singletons born to women without pre-existing diabetes in Western New York, 2004-2016. Daily PM2.5 and NO2 at 1-km2 grids were estimated from ensemble-based models. We assigned each birth with exposures averaged in preconception and each trimester based on residential zip-codes. We used logistic regression to examine the associations and distributed lag models (DLMs) to explore the sensitive windows by month. Relative excess risk due to interaction (RERI) and multiplicative interaction terms were calculated. RESULTS GDM was associated with PM2.5 averaged in the first two trimesters (per 2.5 μg/m3: OR = 1.08, 95% CI: 1.01, 1.14) or from preconception to the second trimester (per 2.5 μg/m3: OR = 1.10, 95% CI: 1.03, 1.18). NO2 exposure during each averaging period was associated with GDM risk (per 10 ppb, preconception: OR = 1.10, 95% CI: 1.06, 1.14; first trimester: OR = 1.12, 95% CI: 1.08, 1.16; second trimester: OR = 1.10, 95% CI: 1.06, 1.14). In DLMs, sensitive windows were identified in the 5th and 6th gestational months for PM2.5 and one month before and three months after conception for NO2. Evidence of interaction was identified for pre-pregnancy BMI with PM2.5 (P-for-interaction = 0.023; RERI = 0.21, 95% CI: 0.10, 0.33) and with NO2 (P-for-interaction = 0.164; RERI = 0.16, 95% CI: 0.04, 0.27). CONCLUSION PM2.5 and NO2 exposure may increase GDM risk, and sensitive windows may be the late second trimester for PM2.5 and periconception for NO2. Women with higher pre-pregnancy BMI may be more susceptible to exposure effects.
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Affiliation(s)
- Kexin Zhu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Vanessa M Barnabei
- Department of Obstetrics and Gynecology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Rachael Hageman Blair
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - James Shelton
- Department of Obstetrics and Gynecology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Lijian Lei
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
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Zhu J, Chen J, Wang K, Yan H, Liu Q, Lan Y, Ren L, Wu S. Exposure to ambient black carbon and particulate matter during pregnancy in associations with risk of pre-eclampsia: A meta-analysis based on population-based studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123230. [PMID: 38158011 DOI: 10.1016/j.envpol.2023.123230] [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: 10/04/2023] [Revised: 12/17/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Abstract
Air pollution control protocols and policies formulated for PM2.5 and PM10 (particulate matter [PM] with an aerodynamic diameter of ≤2.5 and 10 μm), however, such protocols and policies have not been available for black carbon (BC). A growing number of studies have evaluated the association between long-term exposure to ambient air pollution with BC and PM and pre-eclampsia. We applied a meta-analysis to estimate pooled odds ratios (ORs) and 95 % confidence intervals (CIs) based on four exposure windows (first/second/third trimester and entire pregnancy). 24 studies meeting our selection criteria (8 for BC, 21 and 15 for PM2.5 and PM10) were finally included after screening studies published up to June 22, 2023. An increase of 1 μg/m3 BC during the second trimester and entire pregnancy were associated with a 16 % (OR: 1.16, 95 % CI: [1.02, 1.32]) and a 15 % (OR: 1.15, 95 % CI: [1.03, 1.29]) increased risk of pre-eclampsia, respectively. A 10 μg/m3 increase in second-trimester exposure to PM2.5 and PM10 was associated with a 1 % (OR: 1.01, 95 % CI: [1.00, 1.03]) and a 5 % (OR: 1.05, 95 % CI: [1.01, 1.10]) increased risk of pre-eclampsia. An 11 % (OR: 1.11, 95 % CI: [1.03, 1.21]) increased risk of pre-eclampsia was found to be associated with a 10 μg/m3 increase in PM10 exposure during the entire pregnancy. The results support the potential effect of exposure to ambient particulate pollutants on risk of pre-eclampsia and emphasize the necessity of strategies and protocols for controlling BC. Greater efforts in controlling ambient particulate pollution and especially BC are needed in order to prevent pregnant women from developing pre-eclampsia.
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Affiliation(s)
- Jiaqi Zhu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, China
| | - Juan Chen
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, China
| | - Kai Wang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, China
| | - Hairong Yan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Yang Lan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, China
| | - Lihua Ren
- School of Nursing, 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, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, China.
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7
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Heo S, Afanasyeva Y, Trasande L, Bell ML, Ghassabian A. Residential mobility in pregnancy and potential exposure misclassification of air pollution, temperature, and greenness. Environ Epidemiol 2023; 7:e273. [PMID: 38912392 PMCID: PMC11189681 DOI: 10.1097/ee9.0000000000000273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 09/06/2023] [Indexed: 06/25/2024] Open
Abstract
Introduction Epidemiological studies commonly use residential addresses at birth to estimate exposures throughout pregnancy, ignoring residential mobility. Lack of consideration for residential mobility during pregnancy might lead to exposure misclassification that should be addressed in environmental epidemiology. Methods We investigated potential exposure misclassification from estimating exposure during pregnancy by residence at delivery utilizing a prospective cohort of pregnant women in New York, United States (n = 1899; 2016-2019). We calculated exposure during pregnancy corresponding to each address for fine particles (PM2.5), temperature, and greenness (Enhanced Vegetation Index [EVI]). Results Twenty-two percent of participants moved at least once during pregnancy; 82.3% of movers changed residences during the second or third trimesters. Participants with better health, lower parity, and higher socioeconomic status were more likely to move. Exposures based on address at delivery rather than residential history overestimated exposure for PM2.5 (exposure error: range -5.7 to 4.6 µg/m3, average -0.6 µg/m3) and EVI (range -0.305 to 0.307, average -0.013), but not temperature. Overestimations were significantly larger for mothers with higher socioeconomic status. Our findings indicate that the error for prenatal exposure can occur when residential mobility is not considered and is disproportional by maternal characteristics. Conclusions Epidemiological studies should consider residential mobility in exposure assessments based on geolocation when possible, and results based on mother's residence at birth should be interpreted with understanding of potential differential exposure misclassification.
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Affiliation(s)
- Seulkee Heo
- School of the Environment, Yale University, New Haven, Connecticut
| | - Yelena Afanasyeva
- Department of Population Health at NYU Grossman School of Medicine, New York University, New York, New York
- Department of Pediatrics at NYU Grossman School of Medicine, New York University, New York, New York
| | - Leonardo Trasande
- Department of Population Health at NYU Grossman School of Medicine, New York University, New York, New York
- Department of Pediatrics at NYU Grossman School of Medicine, New York University, New York, New York
| | - Michelle L. Bell
- School of the Environment, Yale University, New Haven, Connecticut
| | - Akhgar Ghassabian
- Department of Population Health at NYU Grossman School of Medicine, New York University, New York, New York
- Department of Pediatrics at NYU Grossman School of Medicine, New York University, New York, New York
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8
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Decrue F, Townsend R, Miller MR, Newby DE, Reynolds RM. Ambient air pollution and maternal cardiovascular health in pregnancy. Heart 2023; 109:1586-1593. [PMID: 37217298 DOI: 10.1136/heartjnl-2022-322259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/18/2023] [Indexed: 05/24/2023] Open
Abstract
In this review, we summarise the current epidemiological and experimental evidence on the association of ambient (outdoor) air pollution exposure and maternal cardiovascular health during pregnancy. This topic is of utmost clinical and public health importance as pregnant women represent a potentially susceptible group due to the delicate balance of the feto-placental circulation, rapid fetal development and tremendous physiological adaptations to the maternal cardiorespiratory system during pregnancy.Several meta-analyses including up to 4 245 170 participants provide robust evidence that air pollutants, including particulate matter, nitrogen oxides and others, have adverse effects on the development of hypertensive disorders of pregnancy, gestational diabetes mellitus and cardiovascular events during labour. Potential underlying biological mechanisms include oxidative stress with subsequent endothelial dysfunction and vascular inflammation, β-cell dysfunction and epigenetic changes. Endothelial dysfunction can lead to hypertension by impairing vasodilatation and promoting vasoconstriction. Air pollution and the consequent oxidative stress can additionally accelerate β-cell dysfunction, which in turn triggers insulin resistance leading to gestational diabetes mellitus. Epigenetic changes in placental and mitochondrial DNA following air pollution exposures can lead to altered gene expression and contribute to placental dysfunction and induction of hypertensive disorders of pregnancy.The maternal and fetal consequences of such cardiovascular and cardiometabolic disease during pregnancy can be serious and long lasting, including preterm birth, increased risk of type 2 diabetes mellitus or cardiovascular disease later in life. Acceleration of efforts to reduce air pollution is therefore urgently needed to realise the full health benefits for pregnant mothers and their children.
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Affiliation(s)
- Fabienne Decrue
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Rosemary Townsend
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Mark R Miller
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - David E Newby
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
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Niu Z, Habre R, Yang T, Grubbs BH, Eckel SP, Toledo-Corral CM, Johnston J, Dunton GF, Lurvey N, Al-Marayati L, Lurmann F, Pavlovic N, Bastain TM, Breton CV, Farzan SF. Preconceptional and prenatal exposure to air pollutants and risk of gestational diabetes in the MADRES prospective pregnancy cohort study. LANCET REGIONAL HEALTH. AMERICAS 2023; 25:100575. [PMID: 37727593 PMCID: PMC10505827 DOI: 10.1016/j.lana.2023.100575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 09/21/2023]
Abstract
Background Air pollution has been associated with gestational diabetes mellitus (GDM). We aim to investigate susceptible windows of air pollution exposure and factors determining population vulnerability. Methods We ascertained GDM status in the prospective Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) pregnancy cohort from Los Angeles, California, USA. We calculated the relative risk of GDM by exposure to ambient particulate matter (PM10; PM2.5), nitrogen dioxide (NO2), and ozone (O3) in each week from 12 weeks before to 24 weeks after conception, adjusting for potential confounders, with distributed lag models to identify susceptible exposure windows. We examined effect modification by prenatal depression, median-split pre-pregnancy BMI (ppBMI) and age. Findings Sixty (9.7%) participants were diagnosed with GDM among 617 participants (mean age: 28.2 years, SD: 5.9; 78.6% Hispanic, 11.8% non-Hispanic Black). GDM risk increased with exposure to PM2.5, PM10, and NO2 in a periconceptional window ranging from 5 weeks before to 5 weeks after conception: interquartile-range increases in PM2.5, PM10, and NO2 during this window were associated with increased GDM risk by 5.7% (95% CI: 4.6-6.8), 8.9% (8.1-9.6), and 15.0% (13.9-16.2), respectively. These sensitive windows generally widened, with greater effects, among those with prenatal depression, with age ≥28 years, or with ppBMI ≥27.5 kg/m2, than their counterparts. Interpretation Preconception and early-pregnancy are susceptible windows of air pollutants exposure that increased GDM risk. Prenatal depression, higher age, or higher ppBMI may increase one's vulnerability to air pollution-associated GDM risk. Funding National Institutes of Health, Environmental Protection Agency.
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Affiliation(s)
- Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan H. Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Health Sciences, California State University, Northridge, Northridge, CA, USA
| | - Jill Johnston
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Genevieve F. Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Laila Al-Marayati
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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10
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Oh JW, Kim S, Yoon JW, Kim T, Kim MH, Ryu J, Choe SA. Women's Employment in Industries and Risk of Preeclampsia and Gestational Diabetes: A National Population Study of Republic of Korea. Saf Health Work 2023; 14:272-278. [PMID: 37818217 PMCID: PMC10562116 DOI: 10.1016/j.shaw.2023.08.002] [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: 03/27/2023] [Revised: 07/25/2023] [Accepted: 08/02/2023] [Indexed: 10/12/2023] Open
Abstract
Background Some working conditions may pose a higher physical or psychological demand to pregnant women leading to increased risks of pregnancy complications. Objectives We assessed the association of woman's employment status and the industrial classification with obstetric complications. Methods We conducted a national population study using the National Health Information Service database of Republic of Korea. Our analysis encompassed 1,316,310 women who experienced first-order live births in 2010-2019. We collected data on the employment status and the industrial classification of women, as well as their diagnoses of preeclampsia (PE) and gestational diabetes mellitus (GDM) classified as A1 (well controlled by diet) or A2 (requiring medication). We calculated odds ratios (aORs) of complications per employment, and each industrial classification was adjusted for individual risk factors. Results Most (64.7%) were in employment during pregnancy. Manufacturing (16.4%) and the health and social (16.2%) work represented the most prevalent industries. The health and social work exhibited a higher risk of PE (aOR = 1.11, 95% confidence interval [CI]: 1.03-1.21), while the manufacturing industry demonstrated a higher risk of class A2 GDM (1.20, 95% CI: 1.03-1.41) than financial intermediation. When analyzing both classes of GDM, women who worked in public administration and defense/social security showed higher risk of class A1 GDM (1.04, 95% CI: 1.01, 1.07). When comparing high-risk industries with nonemployment, the health and social work showed a comparable risk of PE (1.02, 95% CI: 0.97, 1.07). Conclusion Employment was associated with overall lower risks of obstetric complications. Health and social service work can counteract the healthy worker effect in relation to PE. This highlights the importance of further elucidating specific occupational risk factors within the high-risk industries.
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Affiliation(s)
- Jeong-Won Oh
- Department of Obstetrics and Gynecology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Seyoung Kim
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Republic of Korea
| | - Jung-won Yoon
- Department of Obstetrics and Gynecology, National Medical Center, Republic of Korea
| | - Taemi Kim
- Department of Public Health, Korea University, Seoul, Republic of Korea
| | - Myoung-Hee Kim
- Center for Public Health Data Analytics, National Medical Center, Seoul, Republic of Korea
| | - Jia Ryu
- Department of Occupational Medicine, Catholic Kwandong University, Gangwon, Republic of Korea
| | - Seung-Ah Choe
- Department of Public Health, Korea University, Seoul, Republic of Korea
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea
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11
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Cao L, Diao R, Shi X, Cao L, Gong Z, Zhang X, Yan X, Wang T, Mao H. Effects of Air Pollution Exposure during Preconception and Pregnancy on Gestational Diabetes Mellitus. TOXICS 2023; 11:728. [PMID: 37755739 PMCID: PMC10534707 DOI: 10.3390/toxics11090728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 09/28/2023]
Abstract
This study aimed to investigate the association between air pollution and gestational diabetes mellitus (GDM) in small- and medium-sized cities, identify sensitive periods and major pollutants, and explore the effects of air pollution on different populations. A total of 9820 women who delivered in Handan Maternal and Child Health Hospital in the Hebei Province from February 2018 to July 2020 were included in the study. Logistic regression and principal component logistic regression models were used to assess the effects of air pollution exposure during preconception and pregnancy on GDM risk and the differences in the effects across populations. The results suggested that each 20 μg/m3 increase in PM2.5 and PM10 exposure during preconception and pregnancy significantly increased the risk of GDM, and a 10 μg/m3 increase in NO2 exposure during pregnancy was also associated with the risk of GDM. In a subgroup analysis, pregnant women aged 30-35 years, nulliparous women, and those with less than a bachelor's education were the most sensitive groups. This study provides evidence for an association between air pollution and the prevalence of GDM, with PM2.5, PM10, and NO2 as risk factors for GDM.
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Affiliation(s)
- Lei Cao
- China Institute for Radiation Protection, Taiyuan 030006, China
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key, Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Ruiping Diao
- Handan Maternal and Children Health Hospital, Handan 056001, China
| | - Xuefeng Shi
- China Institute for Radiation Protection, Taiyuan 030006, China
| | - Lu Cao
- China Institute for Radiation Protection, Taiyuan 030006, China
| | - Zerui Gong
- China Institute for Radiation Protection, Taiyuan 030006, China
| | - Xupeng Zhang
- China Institute for Radiation Protection, Taiyuan 030006, China
| | - Xiaohan Yan
- China Institute for Radiation Protection, Taiyuan 030006, China
| | - Ting Wang
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key, Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Hongjun Mao
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key, Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
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12
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Sun D, Ding Z, Hai Y, Cheng Y. Advances in epigenetic research of adolescent idiopathic scoliosis and congenital scoliosis. Front Genet 2023; 14:1211376. [PMID: 37564871 PMCID: PMC10411889 DOI: 10.3389/fgene.2023.1211376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/30/2023] [Indexed: 08/12/2023] Open
Abstract
Scoliosis is a three-dimensional structural deformity of the spine; more than 80% of scoliosis has no specific pathogenesis but is understood to be closely related to genetic, hormonal, and environmental factors. In recent years, the epigenetic alterations observed in scoliosis have been analyzed in numerous studies to determine the pathogenesis and progression of this condition, however, there is currently no comprehensive review of the epigenetic factors to date. We searched PubMed, Embase, and Web of Science databases for relative studies without language and date restrictions in March 2023. Twenty-five studies were included in this review and analyzed from the four main aspects of epigenetic alteration: DNA methylation, non-coding RNAs, histone modifications, and chromatin remodeling. The relationship between DNA methylation, non-coding RNAs, and scoliosis was considerably reported in the literature, and the corresponding related signaling pathways and novel biomarkers observed in scoliosis provide insights into innovative prevention and treatment strategies. However, the role of histone modifications is rarely reported in scoliosis, and few studies have investigated the relationship between scoliosis and chromatin remodeling. Therefore, these related fields need to be further explored to elucidate the overall effects of epigenetics in scoliosis.
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Affiliation(s)
| | | | - Yong Hai
- Department of Orthopedic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
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13
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Yang X, Zhang Q, Sun Y, Li C, Zhou H, Jiang C, Li J, Zhang L, Chen X, Tang N. Joint effect of ambient PM 2.5 exposure and vitamin B 12 during pregnancy on the risk of gestational diabetes mellitus. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 876:162514. [PMID: 36868273 DOI: 10.1016/j.scitotenv.2023.162514] [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: 12/09/2022] [Revised: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Evidence has indicated that the risk of gestational diabetes mellitus (GDM) was linked to PM2.5 exposure during pregnancy, but findings on susceptible exposure windows are inconsistent. Further, previous studies have not paid attention to B12 intake in the relationship between PM2.5 exposure and GDM. The study is aimed to identify the strength and exposure periods for associations of PM2.5 exposure with GDM, followed by exploring the potential interplay of gestational B12 levels and PM2.5 exposure on the risk of GDM. METHODS The participants were recruited in a birth cohort between 2017 and 2018, and 1396 eligible pregnant women who completed a 75-g oral glucose tolerance test (OGTT) were included. Prenatal PM2.5 concentrations were estimated using an established spatiotemporal model. Logistic and linear regression analyses were used to test associations of gestational PM2.5 exposure with GDM and OGTT-glucose levels, respectively. The joint associations of gestational PM2.5 exposure and B12 level on GDM were examined under crossed exposure combinations of PM2.5 (high versus low) and B12 (insufficient versus sufficient). RESULTS In the 1396 pregnant women, the median levels of PM2.5 exposure during the 12 weeks before pregnancy, the 1st trimester, and the 2nd trimesters were 59.33 μg/m3, 63.44 μg/m3, and 64.39 μg/m3, respectively. The risk of GDM was significantly associated with a 10 μg/m3 increase of PM2.5 during the 2nd trimester (RR = 1.44, 95 % CI: 1.01, 2.04). The percentage change in fasting glucose was also associated with PM2.5 exposure during the 2nd trimester. A higher risk of GDM was observed among women with high PM2.5 exposure and insufficient B12 levels than those with low PM2.5 and sufficient B12. CONCLUSION The study supported higher PM2.5 exposure during the 2nd trimester is significantly associated with GDM risk. It first highlighted insufficient B12 status might enhance adverse effects of air pollution on GDM.
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Affiliation(s)
- Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Yao Sun
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Chen Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Hongyu Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Chang Jiang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jing Li
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China; Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin 300070, China.
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14
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Avizemel O, Frishman S, Pinto Y, Michael Y, Turjeman S, Tenenbaum-Gavish K, Yariv O, Peled Y, Poran E, Pardo J, Chen R, Hod M, Schwartz B, Hadar E, Koren O, Agay-Shay K. "Residential greenness, gestational diabetes mellitus (GDM) and microbiome diversity during pregnancy". Int J Hyg Environ Health 2023; 251:114191. [PMID: 37290331 DOI: 10.1016/j.ijheh.2023.114191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 04/11/2023] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is associated with reduced gut microbiota richness that was also reported to differ significantly between those living in rural compared to urban environments. Therefore, our aim was to examine the associations between greenness and maternal blood glucose levels and GDM, with microbiome diversity as a possible mediator in these associations. METHODS Pregnant women were recruited between January 2016 and October 2017. Residential greenness was evaluated as mean Normalized Difference Vegetation Index (NDVI) within 100, 300 and 500 m buffers surrounding each maternal residential address. Maternal glucose levels were measured at 24-28 weeks of gestation and GDM was diagnosed. We estimated the associations between greenness and glucose levels and GDM using generalized linear models, adjusting for socioeconomic status and season at last menstrual period. Using causal mediation analysis, the mediation effects of four different indices of microbiome alpha diversity in first trimester stool and saliva samples were assessed. RESULTS Of 269 pregnant women, 27 participants (10.04%) were diagnosed with GDM. Although not statistically significant, adjusted exposure to medium tertile levels of mean NDVI at 300 m buffer had lower odds of GDM (OR = 0.45, 95% CI: 0.16, 1.26, p = 0.13) and decreased change in mean glucose levels (β = -6.28, 95% CI: 14.91, 2.24, p = 0.15) compared to the lowest tertile levels of mean NDVI. Mixed results were observed at 100 and 500 m buffers, and when comparing highest tertile levels to lowest. No mediation effect of first trimester microbiome on the association between residential greenness and GDM was observed, and a small, possibly incidental, mediation effect on glucose levels was observed. CONCLUSION Our study suggests possible associations between residential greenness and glucose intolerance and risk of GDM, though without sufficient evidence. Microbiome in the first trimester, while involved in GDM etiology, is not a mediator in these associations. Future studies in larger populations should further examine these associations.
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Affiliation(s)
- Ofir Avizemel
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; The Health & Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel.
| | - Sigal Frishman
- Institute of Biochemistry, School of Nutritional Sciences Food Science and Nutrition, The School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel; Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Yishay Pinto
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Yaron Michael
- Department of Soil & Water Sciences, Institute of Environmental Sciences, the Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Sondra Turjeman
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Kinneret Tenenbaum-Gavish
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Or Yariv
- Department of Soil & Water Sciences, Institute of Environmental Sciences, the Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Yoav Peled
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel; Clalit Medical Services, Dan Petach-Tikva District, Israel
| | - Eran Poran
- Clalit Medical Services, Dan Petach-Tikva District, Israel
| | - Joseph Pardo
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel; Clalit Medical Services, Dan Petach-Tikva District, Israel
| | - Rony Chen
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Moshe Hod
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Betty Schwartz
- Institute of Biochemistry, School of Nutritional Sciences Food Science and Nutrition, The School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Eran Hadar
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Omry Koren
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Keren Agay-Shay
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; The Health & Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel.
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15
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Kumari U, Sharma RK, Keshari JR, Sinha A. Environmental Exposure: Effect on Maternal Morbidity and Mortality and Neonatal Health. Cureus 2023; 15:e38548. [PMID: 37273345 PMCID: PMC10239284 DOI: 10.7759/cureus.38548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2023] [Indexed: 06/06/2023] Open
Abstract
Environmental factors are important causes that impair global pregnancy outcomes and are, importantly, responsible for maternal morbidity and mortality. However, apart from the direct reasons for maternal deaths, mainly obstetric and neonatal complications, such factors are ignored or given less importance. The recent surge in research on the impact of various environmental factors on pregnancy outcomes suggests the need for immediate attention to such factors and device-specific policies to counter the situation. Moreover, the recent coronavirus disease of 2019 (COVID-19) pandemic, global warming, and climate change showed a lack of preparedness to counter the impact of such events on maternal survival and safe and successful pregnancy outcomes. In the present review, we have emphasized the specific factors responsible for increased maternal and neonatal deaths and their association with specific environmental factors. Increased attention on maternal healthcare, preparedness to counter sudden environmental challenges and improvement of the conventional requirement for better maternal healthcare access and nutrition at a global level may improve the scenario.
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Affiliation(s)
- Usha Kumari
- Biochemistry, Indira Gandhi Institute of Medical Sciences, Patna, IND
| | | | - J R Keshari
- Biochemistery, Indira Gandhi Institute of Medical Sciences, Patna, IND
| | - Archana Sinha
- Obstetrics and Gynaecology, Indira Gandhi Institute of Medical Sciences, Patna, IND
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16
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Juan-Reyes SS, Gómez-Oliván LM, Juan-Reyes NS, Islas-Flores H, Dublán-García O, Orozco-Hernández JM, Pérez-Álvarez I, Mejía-García A. Women with preeclampsia exposed to air pollution during pregnancy: Relationship between oxidative stress and neonatal disease - Pilot study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 871:161858. [PMID: 36716872 DOI: 10.1016/j.scitotenv.2023.161858] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/09/2023] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Oxidative imbalance as a pathophysiological mechanism has been reported as an adverse outcome in pregnant women who develop preeclampsia and in their newborns. Furthermore, emerging evidence suggests the same mechanism by which air pollutants may exert their toxic effects. Therefore, the objective of the study was to evaluate the biomarkers of oxidative stress and their relationship with neonatal disease in premature newborns from mothers with preeclampsia exposed to air pollution during pregnancy. The data of air pollutants (PM2.5, PM10 and ozone) were collected at fixed monitoring stations. Oxidative and antioxidant status markers were obtained through special techniques in women with preeclampsia and in umbilical cord blood of their premature newborns. The oxidative stress markers were significantly higher in women with preeclampsia and their newborns who were exposed to higher levels of ambient air pollutants in the first and second trimester of pregnancy. Neonatal diseases are associated with preeclampsia in pregnancies, specifically intrauterine growth restriction (IUGR) and necrotizing enterocolitis (NEC). A significant correlation was identified in the levels of prooxidant agents and antioxidant enzyme activity in the presence of neonatal diseases associated with preeclampsia. There is increased oxidative damage in both the maternal and fetal circulation in women who develop preeclampsia exposed to air pollution during pregnancy. Therefore, these pregnancies complicated by preeclampsia have a greater adverse outcome as neonatal disease in the preterm infant.
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Affiliation(s)
- Sindy San Juan-Reyes
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
| | - Leobardo Manuel Gómez-Oliván
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico.
| | - Nely San Juan-Reyes
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
| | - Hariz Islas-Flores
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
| | - Octavio Dublán-García
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
| | - José Manuel Orozco-Hernández
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
| | - Itzayana Pérez-Álvarez
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
| | - Alejandro Mejía-García
- Laboratorio de Toxicología Ambiental, Facultad de Química, Universidad Autónoma del Estado de México, Paseo Colón intersección Paseo Tollocan s/n, Col. Residencial Colón, 50120 Toluca, Estado de México, Mexico
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17
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Liang W, Zhu H, Xu J, Zhao Z, Zhou L, Zhu Q, Cai J, Ji L. Ambient air pollution and gestational diabetes mellitus: An updated systematic review and meta-analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 255:114802. [PMID: 36934545 DOI: 10.1016/j.ecoenv.2023.114802] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/23/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE We aimed to evaluate the relationship between the composition of particulate matter (PM) and gestational diabetes mellitus (GDM) by a comprehensively review of epidemiological studies. METHODS We systematically identified cohort studies related to air pollution and GDM risk before February 8, 2023 from six databases (PubMed, Embase, Web of Science Core Collection, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform and Chongqing VIP Chinese Science and Technology Periodical databases). We calculated the relative risk (RR) and its 95% confidence intervals (CIs) to assess the overall effect by using a random effects model. RESULTS This meta-analysis of 31 eligible cohort studies showed that exposure to PM2.5, PM10, SO2, and NO2 was associated with a significantly increased risk of GDM, especially in preconception and first trimester. Analysis of the components of PM2.5 found that the risk of GDM was strongly linked to black carbon (BC) and nitrates (NO3-). Specifically, BC exposure in the second trimester and NO3- exposure in the first trimester elevated the risk of GDM, with the RR of 1.128 (1.032-1.231) and 1.128 (1.032-1.231), respectively. The stratified analysis showed stronger correlations of GDM risk with higher levels of pollutants in Asia, except for PM2.5 and BC, which suggested that the specific composition of particulate pollutants had a greater effect on the exposure-outcome association than the concentration. CONCLUSIONS Our study found that ambient air pollutant is a critical factor for GDM and further studies on specific particulate matter components should be considered in the future.
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Affiliation(s)
- Weiqi Liang
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Hui Zhu
- Department of Internal Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Jin Xu
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China; Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
| | - Zhijia Zhao
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Liming Zhou
- Center for Reproductive Medicine, Ningbo Women and Children's Hospital, Ningbo, China
| | - Qiong Zhu
- Department of Pediatrics, Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Jie Cai
- Center for Reproductive Medicine, Ningbo Women and Children's Hospital, Ningbo, China.
| | - Lindan Ji
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China; Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China.
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Yang Y, Ma X, Pang W, Jiang C. Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study. TOXICS 2023; 11:171. [PMID: 36851046 PMCID: PMC9961059 DOI: 10.3390/toxics11020171] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 01/17/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Epidemiological studies have linked particulate matter (PM2.5) to gestational diabetes mellitus (GDM). However, the causality of this association has not been established; Mendelian randomization was carried out using summary data from genome-wide association studies (GWAS). For the analysis of the causal relationship between PM2.5 and GDM, the inverse variance weighted (IVW) method was used. The exposure data came from a GWAS dataset of IEU analysis of the United Kingdom Biobank phenotypes consisting of 423,796 European participants. The FinnGen consortium provided the GDM data, which included 6033 cases and 123,000 controls. We also performed multivariate MR (MVMR), adjusting for body mass index (BMI) and smoking. As a result, we found that each standard deviation increase in PM2.5 is associated with a 73.6% increase in the risk of GDM (OR: 1.736; 95%CI: 1.226-2.457). Multivariable MR analysis showed that the effect of PM2.5 on GDM remained after accounting for BMI and smoking. Our results demonstrate a causal relationship between PM2.5 and GDM.
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Affiliation(s)
- Yi Yang
- Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China
- School of Pharmacy, Guilin Medical University, Guilin 541199, China
| | - Xianli Ma
- Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China
- School of Pharmacy, Guilin Medical University, Guilin 541199, China
| | - Weiyi Pang
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin Medical University, Guilin 541199, China
| | - Caina Jiang
- Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China
- School of Pharmacy, Guilin Medical University, Guilin 541199, China
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19
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Yuan Z, Wang HJ, Li Q, Su T, Yang J, Chen J, Peng Y, Zhou S, Bao H, Luo S, Wang H, Liu J, Han N, Guo Y, Ji Y. Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study. JMIR Public Health Surveill 2023; 9:e41442. [PMID: 36689262 PMCID: PMC9903185 DOI: 10.2196/41442] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/20/2022] [Accepted: 11/30/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Particulate matter (PM) is detrimental to the respiratory and circulatory systems. However, no study has evaluated the lag effects of weekly exposure to fine PM during the period from preconception to delivery on the risk of hypertensive disorders of pregnancy (HDPs). OBJECTIVE We set out to investigate the lag effect windows of PM on the risk of HDPs on a weekly scale. METHODS Data from women with de novo HDPs and normotensive pregnant women who were part of the Peking University Retrospective Birth Cohort, based on the hospital information system of Tongzhou district, were obtained for this study. Meteorological data and data on exposure to fine PM were predicted by satellite remote sensing data based on maternal residential address. The de novo HDP group consisted of pregnant women who were diagnosed with gestational hypertension or preeclampsia. Fine PM was defined as PM2.5 and PM1. The gestational stage of participants was from preconception (starting 12 weeks before gestation) to delivery (before the 42nd gestational week). A distributed-lag nonlinear model (DLNM) was nested in a Cox regression model to evaluate the lag effects of weekly PM exposure on de novo HDP hazard by controlling the nonlinear relationship of exposure-reaction. Stratified analyses by employment status (employed or unemployed), education level (higher or lower), and parity (primiparity or multiparity) were performed. RESULTS A total of 22,570 pregnant women (mean age 29.1 years) for whom data were available between 2013 and 2017 were included in this study. The prevalence of de novo HDPs was 6.7% (1520/22,570). Our findings showed that PM1 and PM2.5 were significantly associated with an elevated hazard of HDPs. Exposure to PM1 during the 5th week before gestation to the 6th gestational week increased the hazard of HDPs. A significant lag effect of PM2.5 was observed from the 1st week before gestation to the 6th gestational week. The strongest lag effects of PM1 and PM2.5 on de novo HDPs were observed at week 2 and week 6 (hazard ratio [HR] 1.024, 95% CI 1.007-1.042; HR 1.007, 95% CI 1.000-1.015, respectively, per 10 μg/m3 increase). The stratified analyses indicated that pregnant women who were employed, had low education, and were primiparous were more vulnerable to PM exposure for de novo HDPs. CONCLUSIONS Exposure to PM1 and PM2.5 was associated with the risk of de novo HDPs. There were significant lag windows between the preconception period and the first trimester. Women who were employed, had low education, and were primiparous were more vulnerable to the effects of PM exposure; more attention should be paid to these groups for early prevention of de novo HDPs.
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Affiliation(s)
- Zhichao Yuan
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Tao Su
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Jie Yang
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Junjun Chen
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Yuanzhou Peng
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Heling Bao
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Na Han
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
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20
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Foster SF, Vazquez C, Cubbin C, Nichols AR, Rickman RR, Widen EM. Breastfeeding, socioeconomic status, and long-term postpartum weight retention. Int Breastfeed J 2023; 18:1. [PMID: 36600252 PMCID: PMC9814482 DOI: 10.1186/s13006-022-00534-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 12/18/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Almost half of all pregnant women in the United States gain weight above Institute of Medicine gestational weight gain guidelines. Breastfeeding has been shown to reduce weight retention in the first year postpartum; however, women with lower socioeconomic status (SES) tend to initiate breastfeeding less often than women with higher SES. We investigated associations between duration of breastfeeding with mother's long-term postpartum weight status at 4-10 years and evaluated whether the associations varied by SES. METHODS Maternal and infant dyads (N = 2144 dyads) are from the Geographic Research on Wellbeing survey (GROW), 2012-2013, a long-term, cross-sectional follow-up of the Maternal and Infant Health Assessment (MIHA) based in California, USA. Pre-pregnancy body mass index (BMI) was obtained from self-report of height and weight during MIHA, while breastfeeding history and self-report of current body weight was collected at the 4-10 year GROW postpartum visit. SES score was derived from a composite score of percent federal poverty level and education and was dichotomized into High and Low SES groups at a score of three. Multivariable linear regression was used to examine association between breastfeeding and maternal weight status, and to examine for effect modification by SES. RESULTS Average long-term weight retention 4-10 years postpartum was 4.0 kg. Fewer lower SES vs. higher SES women breast fed at least six months (51% versus 70%, p < .001) or ever breastfed (74% versus 89%, P < .001). Women who breastfed at least six months had lower long-term postpartum weight retention compared to those who did not (b = -1.06 kg, (-1.93, 0.25); p = 0.01); however, these association did not vary by SES. CONCLUSION Six months of breastfeeding is associated with lower BMI at 4-10 years and lower body weight, and effects do not vary by SES. Future policies and guidelines should consider building an infrastructure that is supportive of longer breastfeeding duration. Moreover, further research is needed to identify the impact of additional behavioral and environmental factors on long-term maternal weight status. Understanding the drivers of excessive weight retention pospartum can help us not only improve the pregnant person's health but the health of their children.
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Affiliation(s)
- Saralyn F. Foster
- grid.89336.370000 0004 1936 9924Department of Nutritional Sciences, The University of Texas at Austin, 200 W. 24th Street, A2703, Austin, United States
| | - Christian Vazquez
- grid.89336.370000 0004 1936 9924Steve Hicks School of Social Work, The University of Texas at Austin, 1925 San Jacinto Blvd, Austin, United States ,grid.267315.40000 0001 2181 9515School of Social Work, The University of Texas at Arlington, 211 S Cooper St Arlington, Arlington, United States
| | - Catherine Cubbin
- grid.89336.370000 0004 1936 9924Steve Hicks School of Social Work, The University of Texas at Austin, 1925 San Jacinto Blvd, Austin, United States ,grid.89336.370000 0004 1936 9924Departments of Population Health and Health Social Work, Dell Medical School, The University of Texas at Austin, 1601 Trinity Street, Austin, United States
| | - Amy R. Nichols
- grid.89336.370000 0004 1936 9924Department of Nutritional Sciences, The University of Texas at Austin, 200 W. 24th Street, A2703, Austin, United States
| | - Rachel R. Rickman
- grid.89336.370000 0004 1936 9924Department of Nutritional Sciences, The University of Texas at Austin, 200 W. 24th Street, A2703, Austin, United States
| | - Elizabeth M. Widen
- grid.89336.370000 0004 1936 9924Department of Nutritional Sciences, The University of Texas at Austin, 200 W. 24th Street, A2703, Austin, United States ,grid.89336.370000 0004 1936 9924Departments of Women’s Health & Pediatrics, Dell Pediatric Research Institute, The University of Texas at Austin, 1400 Barbara Jordan Blvd, Austin, United States
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21
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Yu Z, Feng Y, Chen Y, Zhang X, Zhao X, Chang H, Zhang J, Gao Z, Zhang H, Huang C. Green space, air pollution and gestational diabetes mellitus: A retrospective cohort study in central China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114457. [PMID: 38321676 DOI: 10.1016/j.ecoenv.2022.114457] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/08/2022] [Accepted: 12/19/2022] [Indexed: 02/08/2024]
Abstract
Emerging evidence suggests residential surrounding green space is beneficial for human health. The association between green space and GDM showed inconsistent results, and potential effect modification of green space with air pollution is still unclear. This study aims to evaluate the association between green space and GDM, and further explore potential interaction and medication effects. Participants were recruited from a retrospective cohort study between 2015 and 2020 in Henan, China. Residential green space based on normalized difference vegetation index (NDVI) and air pollution exposure were estimated using spatial-statistical models. Multivariate logistic regression was applied to evaluate the association between per 0.1 unit increase in NDVI with 4 buffer sizes (250 m, 500 m, 1000 m, 2000 m) and GDM. We examined potential interaction of green space and air pollutants on GDM. Mediating effects of air pollution associated with green space exposure on GDM were also investigated by causal mediation analyses. A total of 46,665 eligible pregnant women were identified. There were 4092 (8.8 %) women diagnosed with GDM according to the IADPSG criteria. We found that per 0.1-unit increment in NDVI250 m, NDVI500 m, NDVI1000 m and NDVI2000 m in second trimester were associated with the decreased risk of GDM, with adjusted OR of 0.921(95 %CI: 0.890-0.953), 0.922 (95 %CI: 0.891-0.953), 0.921 (95 %CI: 0.892-0.952) and 0.921 (95 %CI: 0.892-0.951), respectively. We identified significant interactions between second trimester PM2.5 and O3 exposure and NDVI for GDM (Pinteraction < 0.001). The causal mediation analysis showed that PM2.5 mediated approximately 2.5-5.5 % of the association between green space and GDM, while the estimated mediating effect of O3 was approximately 30.1-38.5 %. In conclusion, our study indicates that residential green space was associated with a reduced risk of GDM, particularly second trimester. Green space may benefit to GDM partly mediated by a reduction in PM2.5 and O3.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China; NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yao Chen
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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22
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Liu W, Zhang Q, Liu W, Qiu C. Association between air pollution exposure and gestational diabetes mellitus in pregnant women: a retrospective cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:2891-2903. [PMID: 35941503 DOI: 10.1007/s11356-022-22379-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/31/2022] [Indexed: 06/15/2023]
Abstract
The global prevalence of gestational diabetes mellitus (GDM) is increasing annually, and previous research reports on the relationship between exposure to air pollutants and GDM are not completely consistent. We investigated the association between air pollutant exposure and GDM in pregnant women in a retrospective cohort study in Guangzhou. We found that in the first trimester, exposure to PM2.5 and CO showed a significant association with GDM. In the second trimester, exposure to PM10 was significantly associated with GDM. In the third trimester, exposure to PM2.5, PM10, NO2, SO2, and CO at IQR4 (odds ratio [OR] = 1.271, 95% confidence interval [CI]: 1.179-1.370; OR = 1.283, 95% CI: 1.191-1.383; OR = 1.230, 95% CI: 1.145-1.322; OR = 1.408, 95% CI: 1.303-1.522; OR = 1.150, 95% CI: 1.067-1.240, respectively) compared with IQR1 was positively associated with GDM. However, exposure to NO2 was negatively associated with GDM in the first and second trimesters, and O3 was negatively associated with GDM in the second and third trimesters. We found that the correlation between air pollutants and GDM in different trimesters of pregnancy was not completely consistent in this retrospective cohort study. During pregnancy, there may be an interaction between air pollutant exposure and other factors, such as pregnant women's age, occupation, anemia status, pregnancy-induced hypertension status, and pregnancy season.
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Affiliation(s)
- Weiqi Liu
- Department of Clinical Laboratory, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, 510800, People's Republic of China.
| | - Qingui Zhang
- Department of Clinical Laboratory, Foshan Fosun Chancheng Hospital, Foshan, Guangdong, 528000, People's Republic of China
| | - Weiling Liu
- Department of Clinical Laboratory, Foshan Fosun Chancheng Hospital, Foshan, Guangdong, 528000, People's Republic of China
| | - Cuiqing Qiu
- Medical Information Office, The Maternal and Children Health Care Hospital (Huzhong Hospital) of Huadu, Guangzhou, Guangdong, 510800, People's Republic of China
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23
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Torres Toda M, Miri M, Heydari H, Lari Najafi M, Gómez-Roig MD, Llurba E, Foraster M, Dadvand P. A study on exposure to greenspace during pregnancy and lipid profile in cord blood samples. ENVIRONMENTAL RESEARCH 2022; 214:113732. [PMID: 35752327 DOI: 10.1016/j.envres.2022.113732] [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: 04/04/2022] [Revised: 06/08/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
Although evidence reporting the beneficial associations of prenatal greenspace exposure with pregnancy outcomes is increasing, there is still a lack of evidence on the potential association of such exposure to greenspace on fetal lipid profile. We aimed to first-time investigate the associations between prenatal exposure to greenspace and lipid levels in the cord blood. The present study was based on data from 150 expectant mothers, residents of Sabzevar city in Iran (2018). For each participant, we identified exposure to greenspace in residential surroundings, residential accessibility to green space, use of green spaces, and the number of plant pots inside the home. Measures of levels of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and TC/HDL-C and TG/HDL-C ratios in samples of cord blood were applied to identify the lipid profile. We developed adjusted linear regression models to estimate the associations of each indicator of greenspace exposure with each cord blood lipid. We found increased greenspace in residential surroundings across a 100 m buffer, higher residential accessibility to green space, and more use of green spaces were associated with decreased cord blood lipid levels. The remainder findings regarding the greenspace in residential surroundings across 300 m and 500 m buffers and the number of plant pots were null. Some suggestions were observed for a potential mediatory role of air pollution. This study suggests that greenspace exposure during pregnancy may influence positively fetal lipid levels in the cord blood.
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Affiliation(s)
- Maria Torres Toda
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mohammad Miri
- Non-communicable Diseases Research Centre, Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
| | - Hafez Heydari
- Non-communicable Diseases Research Centre, Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Moslem Lari Najafi
- Pharmaceutical Sciences and Cosmetic Products Research Centre, Kerman University of Medical Sciences, Kerman, Iran
| | - Maria Dolores Gómez-Roig
- BCNatal | Barcelona Centre for Maternal Foetal and Neonatal Medicine, Hospital Sant Joan de Déu, Barcelona, Spain; Maternal and Child Health and Development Network, Instituto de Salud Carlos III, Barcelona, Spain; Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Elisa Llurba
- Maternal and Child Health and Development Network, Instituto de Salud Carlos III, Barcelona, Spain; Department of Obstetrics and Gynecology, Hospital Sant Pau, Barcelona, Spain
| | - Maria Foraster
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Pompeu Fabra University, Barcelona, Catalonia, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain.
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24
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Xu W, He M, Meng W, Zhang Y, Yun H, Lu Y, Huang Z, Mo X, Hu B, Liu B, Li H. Temporal-spatial change of China's coastal ecosystems health and driving factors analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 845:157319. [PMID: 35839892 DOI: 10.1016/j.scitotenv.2022.157319] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/28/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
Understanding the spatial distribution pattern change and driving factors behind ecosystem health is essential to ecosystem management and restoration. However, in the research of regional ecosystem health, there is little research on ecosystem health in coastal regions, and there is little exploration of its temporal and spatial pattern change and its driving factors. In this study, we use the Vigor-Organization-Resilience-Services (VORS) model and marine ecosystem health index to diagnose the ecosystem health of the whole coastal area of China over the last 20 years, and find the main contributing factors affecting ecosystem health with the help of geographic detectors and geographic weighted regression analysis. Our results show that: (1) the ecosystem health level in the south of the coastal region is higher than that in the north, mainly with 30° north latitude as the main dividing line. (2) The regions with high change rate are mainly concentrated in Bohai Bay, the Yangtze River Estuary, Hangzhou Bay and the Pearl River Estuary, and the change is mainly negative. (3) Both natural and human factors have an impact on ecosystem health, and the influencing factors are different on different scales. The interaction between different factors is greater than the impact of a single factor on ecosystem health. The study puts forward a new evaluation framework for the study of ecosystem health in coastal areas, which can be applied to other coastal areas with similar conditions, and can help the sustainable and healthy development of coastal areas.
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Affiliation(s)
- Wenbin Xu
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Mengxuan He
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China.
| | - Weiqing Meng
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Ying Zhang
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Haofan Yun
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Yalan Lu
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Zhimei Huang
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Xunqiang Mo
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Beibei Hu
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Baiqiao Liu
- School of Geographic and Environmental Science, Tianjin Normal University, Tianjin 300387, China
| | - Hongyuan Li
- College of Environment Science and Engineering, Nankai University, Tianjin 300350, China
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25
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Liu R, Zhang J, Chu L, Zhang J, Guo Y, Qiao L, Niu Z, Wang M, Farhat Z, Grippo A, Zhang Y, Ma C, Zhang Y, Zhu K, Mu L, Lei L. Association of ambient fine particulate matter exposure with gestational diabetes mellitus and blood glucose levels during pregnancy. ENVIRONMENTAL RESEARCH 2022; 214:114008. [PMID: 35931192 DOI: 10.1016/j.envres.2022.114008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 07/12/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Previous studies have examined the associations between ambient fine particulate matter (PM2.5) exposure and gestational diabetes mellitus (GDM). However, limited studies explored the relationships between PM2.5 exposure and blood glucose levels during pregnancy, especially in highly polluted areas. OBJECTIVES To examine the associations of prenatal ambient PM2.5 exposure with GDM and blood glucose levels, and to identify the sensitive exposure windows in a highly air-polluted area. METHODS From July 2016 to October 2017, a birth cohort study was conducted in Beijing, China. Participants were interviewed in each trimester regarding demographics, lifestyle, living and working environment, and medical conditions. Participant's daily ambient PM2.5 levels from 3 m before last menstrual period (LMP) to the third trimester was estimated by a hybrid spatiotemporal model. Indoor air quality index was calculated based on environmental tobacco smoke, ventilation, cooking, painting, pesticide, and herbicide use. Distributed lag non-linear model was applied to explore the sensitive weeks of PM2.5 exposure. RESULTS Of 165 pregnant women, 23 (13.94%) developed GDM. After adjusting for potential confounders, PM2.5 exposure during the 1st trimester was associated with higher odds of GDM (10 μg/m3 increase: OR = 1.89, 95% CI: 1.04-3.49). Each 10 μg/m3 increase in PM2.5 during the 2nd trimester was associated with 17.70% (2.21-33.20), 15.99% (2.96-29.01), 18.82% (4.11-33.52), and 17.10% (3.28-30.92) increase in 1-h, 2-h, Δ1h-fasting (1-h minus fasting), and Δ2h-fasting (2-h minus fasting) blood glucose levels, respectively. PM2.5 exposure at 24th-27th weeks after LMP was associated with increased GDM risk. We identified sensitive exposure windows of 21st-24th weeks for higher 1-h and 2-h blood glucose levels and of 20th-22nd weeks for increased Δ1h-fasting and Δ2h-fasting. CONCLUSIONS Ambient PM2.5 exposure during the second trimester was associated with higher odds of GDM and higher blood glucose levels. Avoiding exposure to high air pollution levels during the sensitive windows might prevent women from developing GDM.
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Affiliation(s)
- Rujie Liu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jun Zhang
- Research Center for Public Health, Tsinghua University, Beijing, China
| | - Li Chu
- Department of Obstetrics and Gynecology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jun Zhang
- Department of Obstetrics and Gynecology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yanjun Guo
- Department of Obstetrics and Gynecology, Aerospace Center Hospital, Beijing, China
| | - Lihua Qiao
- Research Center for Public Health, Tsinghua University, Beijing, China
| | - Zhongzheng Niu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Zeinab Farhat
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Alexandra Grippo
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Yifan Zhang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Changxing Ma
- Department of Biostatistics, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Yingying Zhang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Kexin Zhu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, The State University of New York at Buffalo, Buffalo, NY, USA.
| | - Lijian Lei
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
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Zhou X, Li C, Cheng H, Xie J, Li F, Wang L, Ding R. Association between ambient air pollution exposure during pregnancy and gestational diabetes mellitus: a meta-analysis of cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:68615-68635. [PMID: 35543789 DOI: 10.1007/s11356-022-20594-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
Numerous studies have evaluated the association between air pollution and gestational diabetes mellitus (GDM), but the findings were inconsistent. This meta-analysis aimed to provide higher grade evidence on the association of air pollution with GDM based on previous studies. PubMed, Web of science, China National Knowledge Infrastructure (CNKI), and Wanfang Data Knowledge Service Platform (Wanfang) were searched comprehensively up to September 2021. Totally, 20 eligible cohort studies were finally included, for which the pooled RR and 95% CIs were estimated. Stratified analyses by study regions and units of pollutant increase were conducted for further investigation. Sensitivity analyses were also performed to assess the robustness. The finding showed that PM2.5, PM10, NO2, and SO2 exposure increased the risk of GDM, while O3 exposure reduced GDM risk. Specifically, PM2.5 exposure in the first and second trimesters, NO2 and SO2 exposure in the first trimester significantly increased the risk of GDM, with the RR ranging from 1.015 to 1.032. In addition, the elevation of GDM risk induced by PM2.5, PM10, and O3 exposure was more pronounced in Asian subjects than in American subjects. The meta-analysis provides high-quality evidence on the effect of maternal air pollution exposure on GDM in each exposure period.
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Affiliation(s)
- Xinyu Zhou
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Han Cheng
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Junyi Xie
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Feng Li
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Lishan Wang
- First School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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27
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Eberle C, Stichling S. Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review. BMC Public Health 2022; 22:1572. [PMID: 35982427 PMCID: PMC9389831 DOI: 10.1186/s12889-022-13965-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 06/27/2022] [Indexed: 11/10/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications globally. Environmental risk factors may lead to increased glucose levels and GDM, which in turn may affect not only the health of the mother but assuming hypotheses of "fetal programming", also the health of the offspring. In addition to traditional GDM risk factors, the evidence is growing that environmental influences might affect the development of GDM. We conducted a systematic review analyzing the association between several environmental health risk factors in pregnancy, including climate factors, chemicals and metals, and GDM. Methods We performed a systematic literature search in Medline (PubMed), EMBASE, CINAHL, Cochrane Library and Web of Science Core Collection databases for research articles published until March 2021. Epidemiological human and animal model studies that examined GDM as an outcome and / or glycemic outcomes and at least one environmental risk factor for GDM were included. Results Of n = 91 studies, we classified n = 28 air pollution, n = 18 persistent organic pollutants (POP), n = 11 arsenic, n = 9 phthalate n = 8 bisphenol A (BPA), n = 8 seasonality, n = 6 cadmium and n = 5 ambient temperature studies. In total, we identified two animal model studies. Whilst we found clear evidence for an association between GDM and air pollution, ambient temperature, season, cadmium, arsenic, POPs and phthalates, the findings regarding phenols were rather inconsistent. There were clear associations between adverse glycemic outcomes and air pollution, ambient temperature, season, POPs, phenols, and phthalates. Findings regarding cadmium and arsenic were heterogeneous (n = 2 publications in each case). Conclusions Environmental risk factors are important to consider in the management and prevention of GDM. In view of mechanisms of fetal programming, the environmental risk factors investigated may impair the health of mother and offspring in the short and long term. Further research is needed. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13965-5.
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Affiliation(s)
- Claudia Eberle
- Medicine With Specialization in Internal Medicine and General Medicine, Hochschule Fulda, University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany.
| | - Stefanie Stichling
- Medicine With Specialization in Internal Medicine and General Medicine, Hochschule Fulda, University of Applied Sciences, Leipziger Strasse 123, 36037, Fulda, Germany
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28
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Shen Y, Yu G, Liu C, Wang W, Kan H, Zhang J, Cai J. Prenatal Exposure to PM 2.5 and Its Specific Components and Risk of Hypertensive Disorders in Pregnancy: A Nationwide Cohort Study in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:11473-11481. [PMID: 35914180 DOI: 10.1021/acs.est.2c01103] [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] [Indexed: 06/15/2023]
Abstract
Hypertensive disorders in pregnancy (HDP) are a leading cause of maternal mortality and adverse birth outcomes. Fine particulate matter (PM2.5) has been linked to HDP risk; however, limited studies have explored the relationships between specific chemical constituents of PM2.5 and HDP risk. Based on maternal data from the China Labor and Delivery Survey (CLDS), this study included a total of 67,659 participants from 95 participant hospitals in 25 provinces of China between March 1, 2015, and December 31, 2016. Maternal exposure to total PM2.5 mass and six main components during pregestation and pregnancy were estimated using the Combined Geoscience-Statistical Method. Multilevel logistic regression models were applied to quantify the associations, controlling for sociodemographic characteristics. We found that an interquartile range (IQR) increase in PM2.5 exposure during the second trimester was associated with a 14% increase in HDP risk (95% CI: 2%, 29%). We observed that black carbon (BC) and SO42- had larger or comparable estimates of the effect than total PM2.5 mass. The association estimates were greater in the gestational hypertension group than in the group of pre-eclampsia and eclampsia. Our findings suggest that PM2.5 exposure and specific chemical components (particularly BC and SO42-) were associated with an increased HDP risk in China.
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Affiliation(s)
- Yanling Shen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, 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
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, 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
- School of Public Health, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
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29
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Gogna P, Villeneuve PJ, Borghese MM, King WD. An exposure-response meta-analysis of ambient PM 2.5 during pregnancy and preeclampsia. ENVIRONMENTAL RESEARCH 2022; 210:112934. [PMID: 35150719 DOI: 10.1016/j.envres.2022.112934] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
Relationships between PM2.5 exposure and preeclampsia have been the focus of four recent systematic reviews and meta-analyses. We expand on knowledge gaps in these reviews by characterizing the shape of the exposure-outcome relationship, and by assessing the heterogeneity in these associations by study characteristics. Studies of PM2.5 and preeclampsia were identified from reviews, and confounder-adjusted estimates were extracted. Estimates were derived using a random-effects model. Potential non-linearity was evaluated using a one-stage dose-response meta-analysis. Contrary to previous meta-analyses reporting stronger relationships, the overall adjusted relative risk (RR) for a 10 μg/m3 average increase in PM2.5 during pregnancy and preeclampsia was modest and not statistically significant (RR: 1.07, 95% CI: 0.99-1.15). This was mainly attributable to inclusion/exclusion decisions for studies made during this review. In addition, there was no evidence of non-linearity, and no important sub-group differences by characteristics such as region, exposure assessment, participant exclusions, and early versus late-onset preeclampsia. Overall, our analysis suggests a modest relationship between ambient PM2.5 and preeclampsia. We provide details on inclusion and exclusion decisions that were lacking in previous studies, and report novel investigations of non-linearity and heterogeneity.
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Affiliation(s)
- Priyanka Gogna
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada.
| | - Paul J Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Michael M Borghese
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada; Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Will D King
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
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30
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Built and Social Environments, Environmental Justice, and Maternal Pregnancy Complications. CURRENT OBSTETRICS AND GYNECOLOGY REPORTS 2022. [DOI: 10.1007/s13669-022-00339-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Abstract
Purpose of Review
The Environmental Justice Movement centers on addressing inequitable distribution of environmental harms in marginalized communities. It has been commonly understood as the disproportionate concentration of environmental pollutants or hazards. As such, much of the work on environmental harms and maternal pregnancy complications have focused on environmental toxins. This scoping review surveyed the literature exploring the built and social environment factors and maternal pregnancy complications among racially marginalized women and highlights how an environmental justice framework can inform policy interventions for maternal health inequities caused by structural racism in built and social environments.
Recent Findings
The literature examining the association between neighborhood level built and social environment factors and maternal pregnancy complications in the last five years is sparse. When excluding environmental toxins, we identified 16 studies that fit our criteria of neighborhood-level environmental exposure, with the majority focused on built environment factors, specifically proximity to greenspace and food environment.
Summary
We identified a few important gaps and opportunities for future research in this area. First is a need to explore additional built environment elements. Secondly, extensive research is needed on the social environment. Third is a critical understanding to incorporate structural racism and cultural perspectives to better understand these relationships in minoritized populations and highlight the intersection between environmental hazards concentration and their structural causes. Finally, an environmental justice framework is critically needed in the interpretation and translation of this literature to inform policy solutions that can counteract the harms in racially marginalized communities and improve health.
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31
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Zhao Y, Bao WW, Yang BY, Liang JH, Gui ZH, Huang S, Chen YC, Dong GH, Chen YJ. Association between greenspace and blood pressure: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 817:152513. [PMID: 35016929 DOI: 10.1016/j.scitotenv.2021.152513] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/08/2021] [Accepted: 12/14/2021] [Indexed: 06/14/2023]
Abstract
Many studies have investigated the association between greenspaces and blood pressure (BP), but the results remain mixed. We conducted a systematic review and meta-analysis to comprehensively evaluate the evidence concerning greenspaces with BP levels and prevalent hypertension. Systematic literature searches were performed in Web of Science, PubMed, and Embase up to 25 April 2021. Combined effect estimates were calculated using random-effect models for each greenspace exposure assessment method that had been examined in ≥3 studies. Sensitivity analysis, subgroup analysis, and publication bias were also conducted. Of 38 articles (including 52 analyses, 5.2 million participants in total) examining the effects of normalized difference vegetation index (NDVI) (n = 23), proportion of greenspace (n = 11), distance to greenspace (n = 9), and others (n = 9) were identified. Most studies (65%) reported beneficial associations between greenspaces and BP levels/hypertension. Our results of meta-analyses showed that higher NDVI500m was significantly associated with lower levels of systolic blood pressure (SBP = -0.77 mmHg, 95%CI: -1.23 to -0.32) and diastolic blood pressure (DBP = -0.32 mmHg, 95%CI: -0.57 to -0.07). We also found that NDVI in different buffers and the proportion of greenspaces were significantly associated with lower odds (1-9%) of hypertension. However, no significant effect was found for distance to greenspaces. In summary, our results indicate the beneficial effects of greenspace exposure on BP and hypertension. However, future better-designed studies, preferably longitudinal, are needed to confirm and better quantify the observed benefits in BP and/or hypertension.
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Affiliation(s)
- Yu Zhao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing-Hong Liang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhao-Huan Gui
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shan Huang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yi-Can Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Ya-Jun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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32
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Zhu M, Guo J, Zhou Y, Cheng X. Exploring the Spatiotemporal Evolution and Socioeconomic Determinants of PM2.5 Distribution and Its Hierarchical Management Policies in 366 Chinese Cities. Front Public Health 2022; 10:843862. [PMID: 35356011 PMCID: PMC8959385 DOI: 10.3389/fpubh.2022.843862] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/02/2022] [Indexed: 11/13/2022] Open
Abstract
From 2013 to 2017, progress has been made by implementing the Air Pollution Prevention and Control Action Plan. Under the background of the 3 Year Action Plan to Fight Air Pollution (2018–2020), the pollution status of PM2.5, a typical air pollutant, has been the focus of continuous attention. The spatiotemporal specificity of PM2.5 pollution in the Chinese urban atmospheric environment from 2018 to 2020 can be summarized to help conclude and evaluate the phased results of the battle against air pollution, and further, contemplate the governance measures during the period of the 14th Five-Year Plan (2021–2025). Based on PM2.5 data from 2018 to 2020 and taking 366 cities across China as research objects, this study found that PM2.5 pollution has improved year by year from 2018 to 2020, and that the heavily polluted areas were southwest Xinjiang and North China. The number of cities with a PM2.5 concentration in the range of 25–35 μg/m3 increased from 34 in 2018 to 86 in 2019 and 99 in 2020. Moreover, the spatial variation of the PM2.5 gravity center was not significant. Concretely, PM2.5 pollution in 2018 was more serious in the first and fourth quarters, and the shift of the pollution's gravity center from the first quarter to the fourth quarter was small. Global autocorrelation indicated that the space was positively correlated and had strong spatial aggregation. Local Moran's I and Local Geti's G were applied to identify hotspots with a high degree of aggregation. Integrating national population density, hotspots were classified into four areas: the Beijing–Tianjin–Hebei region, the Fenwei Plain, the Yangtze River Delta, and the surrounding areas were selected as the key hotspots for further geographic weighted regression analysis in 2018. The influence degree of each factor on the average annual PM2.5 concentration declined in the following order: (1) the proportion of secondary industry in the GDP, (2) the ownership of civilian vehicles, (3) the annual grain planting area, (4) the annual average population, (5) the urban construction land area, (6) the green space area, and (7) the per capita GDP. Finally, combined with the spatiotemporal distribution of PM2.5, specific suggestions were provided for the classified key hotspots (Areas A, B, and C), to provide preliminary ideas and countermeasures for PM2.5 control in deep-water areas in the 14th Five-Year Plan.
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Affiliation(s)
- Minli Zhu
- School of Criminal Justice, Zhongnan University of Economics and Law, Wuhan, China
| | - Jinyuan Guo
- School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China
| | - Yuanyuan Zhou
- School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China
| | - Xiangyu Cheng
- The Co-innovation Center for Social Governance of Urban and Rural Communities in Hubei Province, Zhongnan University of Economics and Law, Wuhan, China
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33
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Chen L, Xie J, Ma T, Chen M, Gao D, Li Y, Ma Y, Wen B, Jiang J, Wang X, Zhang J, Chen S, Wu L, Li W, Liu X, Dong B, Wei J, Guo X, Huang S, Song Y, Dong Y, Ma J. Greenness alleviates the effects of ambient particulate matter on the risks of high blood pressure in children and adolescents. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152431. [PMID: 34942264 DOI: 10.1016/j.scitotenv.2021.152431] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 12/01/2021] [Accepted: 12/11/2021] [Indexed: 06/14/2023]
Abstract
Both ambient particulate matter (PM) and decrease of greenness have been suggested as risk factors for high blood pressure (HBP) in children and adolescents. But most evidence were from cross-sectional studies with limited data from prospective cohorts. In this cohort study, we included 588,004 children and adolescents aged 7 to 18 years without HBP from 2005 to 2018 in Beijing (240,081) and Zhongshan (347,923) city of China. The cumulative incidence of HBP was 32.04%, and incidence rate was 14.86 per 100 person-year. After adjustment for confounders, the ten-unit increase in PM1, PM2.5, and PM10 exposure was significantly associated with 43%, 70%, and 43%- higher risks of HBP, respectively, but the 0.1-unit increase in NDVI exposure was significantly associated with a 25% lower risk of HBP. The HRs of PM1 on the HBP risk were 1.486 and 1.150 in the low and the high-level of greenness, and they were 2.635 and 2.507 for PM2.5, and for PM10 1.367 and 1.702 in the two groups. The attributable fraction (AFs) of PM1, PM2.5, and PM10 on HBP incidents were 13.74%, 40.08%, and 15.47% in the low-level of greenness, which simultaneously was higher than those in the high-level of greenness (AF = 4.62%, 17.28%, and 9.96%). The exposure to higher ambient PM air pollution and lower greenness around schools were associated with a higher risk of HBP in children and adolescents, but higher greenness alleviated the adverse effects of ambient PM1 and PM2.5 on the HBP risks. Our findings highlighted a synergic strategy in preventing childhood HBP by decreasing air pollution reduction and improving greenness concurrently.
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Affiliation(s)
- Li Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Junqing Xie
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Tao Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Manman Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Di Gao
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Yanhui Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Ying Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Bo Wen
- School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Jun Jiang
- Department of Plant Science and Landscape Architecture, University of Maryland, USA
| | - Xijie Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China; Wanke School of Public Health, Tsinghua University, Beijing, China
| | - Jingbo Zhang
- Beijing Health Center for Physical Examination, Beijing 100191, China
| | - Shuo Chen
- Beijing Health Center for Physical Examination, Beijing 100191, China
| | - Lijuan Wu
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Weiming Li
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Bin Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Sizhe Huang
- Zhongshan Health Care Centers for Primary and Secondary School, Zhongshan 528403, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing 100191, China.
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Cheng X, Ji X, Yang D, Zhang C, Chen L, Liu C, Meng X, Wang W, Li H, Kan H, Huang H. Associations of PM 2.5 exposure with blood glucose impairment in early pregnancy and gestational diabetes mellitus. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 232:113278. [PMID: 35131583 DOI: 10.1016/j.ecoenv.2022.113278] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/22/2022] [Accepted: 01/30/2022] [Indexed: 06/14/2023]
Abstract
Exposure to fine particulate matter (PM2.5) during pregnancy has been linked to the risk of gestational diabetes mellitus (GDM), while conclusions are inconsistent. In this study we aimed to estimate the effects of prenatal PM2.5 exposure with blood glucose in early pregnancy and the GDM risk. Participants were recruited from the SH-IPMCH-BTH cohort (n = 41,929), a study of air pollution and birth outcome. All participants provided serum samples for analyses of fasting blood glucose (FBG) and HbA1c during early pregnancy. GDM was diagnosed using an oral glucose tolerance test (OGTT) with the time interval of 1 h. Prenatal exposure to PM2.5 was estimated using gap-filled satellite exposure assessments in Shanghai, China. Both FBG and HbA1c levels were significantly and positively associated with PM2.5 exposure during early pregnancy. A 10 μg/m3 increase of PM2.5 exposure from early to middle pregnancy was associated with the risk of GDM (first trimester OR=1.09, 95% CI: 1.02, 1.16; second trimester OR=1.09, 95% CI: 1.03, 1.16; first two trimester OR=1.15, 95%CI: 1.04, 1.28). The combined effects were greater among elevated FBG and HbA1c women with higher PM2.5 exposure in middle trimester (P for interaction=0.037 and 0.001, respectively). This study found that exposure to PM2.5 exposure in the 1st and 2nd trimesters was related to GDM. FBG and HbA1c played roles in the relationship between PM2.5 exposure in the 2nd trimester and GDM.
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Affiliation(s)
- Xiaoyue Cheng
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Xinhua Ji
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Dongjian Yang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Chen Zhang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lei Chen
- 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 Laboratory of Health Technology Assessment, Fudan University, Shanghai, 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, 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, China
| | - Huichu Li
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - 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, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China
| | - Hefeng Huang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
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Fernandes JMPA, de Aguiar Pontes Pamplona Y, Vaz JA, Pereira AR, Barbieri CLA, Braga ALF, Martins LC. Association between high-risk pregnancy and environmental contaminants in the Metropolitan Region of Baixada Santista, Brazil. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:14552-14560. [PMID: 34613545 DOI: 10.1007/s11356-021-16794-y] [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: 04/25/2021] [Accepted: 09/24/2021] [Indexed: 06/13/2023]
Abstract
The Metropolitan Region of Baixada Santista (MRBS) is a highly contaminated area. High-risk pregnancy is one factor that leads to a higher chance of both morbidity and mortality of the mother-fetus binomial. The purpose of this study is to analyze the association between exposure to environmental contaminants and high-risk pregnancy. Case-control study, using a probabilistic and random sample composed of 201 high-risk pregnant women (cases) and 201 no high-risk pregnant women (control) followed up during prenatal care at a Public Hospital. The instrument used was a self-administered questionnaire. Contaminated areas data were obtained from the Environmental Company of the São Paulo State. The participants were georeferenced by their place of residence. Descriptive analysis, Chi-square test, and univariate and multiple logistic regression analysis were performed. The multiple logistic regression model demonstrated that living in a contaminated area (OR = 1.565; 95%CI: 1.033; 2.370), preterm delivery in the current pregnancy (OR = 1.989; 95%CI: 1.239; 3.194), and more than 35 years old (OR = 2.822; 95%CI: 1.692; 4.706) are factors jointly related to high-risk pregnancy. Environmental contaminants play an important role in high-risk pregnancy, and mitigating measures are needed to improve the environment and reduce high-risk pregnancy.
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Affiliation(s)
- Joice Maria Pacheco Antonio Fernandes
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Ysabely de Aguiar Pontes Pamplona
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Jhonnes Alberto Vaz
- Centro de Ciencias Exatas, Arquitetura E Engenharia da Universidade Católica de Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Amanda Rodrigues Pereira
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Carolina Luísa Alves Barbieri
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
| | - Alfésio Luís Ferreira Braga
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil
- Environmental Epidemiology Study Group, Laboratory of Experimental Air Pollution, Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 450, São Paulo, CEP: 01246-903, Brazil
| | - Lourdes Conceição Martins
- Exposure and Environmental Risk Assessment Group-Postgraduate Program in Collective Health, Catholic University of Santos, Av. Conselheiro Nebias, 300, Santos, São Paulo, CEP: 11045-003, Brazil.
- Environmental Epidemiology Study Group, Laboratory of Experimental Air Pollution, Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 450, São Paulo, CEP: 01246-903, Brazil.
- , São Paulo, Brazil.
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Sun Y, Li X, Benmarhnia T, Chen JC, Avila C, Sacks DA, Chiu V, Slezak J, Molitor J, Getahun D, Wu J. Exposure to air pollutant mixture and gestational diabetes mellitus in Southern California: Results from electronic health record data of a large pregnancy cohort. ENVIRONMENT INTERNATIONAL 2022; 158:106888. [PMID: 34563749 PMCID: PMC9022440 DOI: 10.1016/j.envint.2021.106888] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 05/14/2023]
Abstract
BACKGROUND Epidemiological findings are inconsistent regarding the associations between air pollution exposure during pregnancy and gestational diabetes mellitus (GDM). Several limitations exist in previous studies, including potential outcome and exposure misclassification, unassessed confounding, and lack of simultaneous consideration of air pollution mixtures and particulate matter (PM) constituents. OBJECTIVES To assess the association between GDM and maternal residential exposure to air pollution, and the joint effect of the mixture of air pollutants and PM constituents. METHODS Detailed clinical data were obtained for 395,927 pregnancies in southern California (2008-2018) from Kaiser Permanente Southern California (KPSC) electronic health records. GDM diagnosis was based on KPSC laboratory tests. Monthly average concentrations of fine particulate matter < 2.5 μm (PM2.5), <10 μm (PM10), nitrogen dioxide (NO2), and ozone (O3) were estimated using kriging interpolation of Environmental Protection Agency's routine monitoring station data, while PM2.5 constituents (i.e., sulfate, nitrate, ammonium, organic matter and black carbon) were estimated using a fine-resolution geoscience-derived model. A multilevel logistic regression was used to fit single-pollutant models; quantile g-computation approach was applied to estimate the joint effect of air pollution and PM component mixtures. Main analyses adjusted for maternal age, race/ethnicity, education, median family household income, pre-pregnancy BMI, smoking during pregnancy, insurance type, season of conception and year of delivery. RESULTS The incidence of GDM was 10.9% in the study population. In single-pollutant models, we observed an increased odds for GDM associated with exposures to PM2.5, PM10, NO2 and PM2.5 constituents. The association was strongest for NO2 [adjusted odds ratio (OR) per interquartile range: 1.176, 95% confidence interval (CI): 1.147-1.205)]. In multi-pollutant models, increased ORs for GDM in association with one quartile increase in air pollution mixtures were found for both kriging-based regional air pollutants (NO2, PM2.5, and PM10, OR = 1.095, 95% CI: 1.082-1.108) and PM2.5 constituents (i.e., sulfate, nitrate, ammonium, organic matter and black carbon, OR = 1.258, 95% CI: 1.206-1.314); NO2 (78%) and black carbon (48%) contributed the most to the overall mixture effects among all krigged air pollutants and all PM2.5 constituents, respectively. The risk of GDM associated with air pollution exposure were significantly higher among Hispanic mothers, and overweight/obese mothers. CONCLUSION This study found that exposure to a mixture of ambient PM2.5, PM10, NO2, and PM2.5 chemical constituents was associated with an increased risk of GDM. NO2 and black carbon PM2.5 contributed most to GDM risk.
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Affiliation(s)
- Yi Sun
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA
| | - Xia Li
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Tarik Benmarhnia
- Herbert Wertheim School of Public Health and Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Chantal Avila
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - David A Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Vicki Chiu
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jeff Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Darios Getahun
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
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Goin DE, Sudat S, Riddell C, Morello-Frosch R, Apte JS, Glymour MM, Karasek D, Casey JA. Hyperlocalized Measures of Air Pollution and Preeclampsia in Oakland, California. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14710-14719. [PMID: 34648281 PMCID: PMC8968652 DOI: 10.1021/acs.est.1c02151] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Exposure to nitrogen dioxide (NO2), black carbon (BC), and ultrafine particles (UFPs) during pregnancy may increase the risk of preeclampsia, but previous studies have not assessed hyperlocalized differences in pollutant levels, which may cause exposure misclassification. We used data from Google Street View cars with mobile air monitors that repeatedly sampled NO2, BC, and UFPs every 30 m in Downtown and West Oakland neighborhoods during 2015-2017. Data were linked to electronic health records of pregnant women in the 2014-2016 Sutter Health population, who resided within 120 m of monitoring data (N = 1095), to identify preeclampsia cases. We used G-computation with log-binomial regression to estimate risk differences (RDs) associated with a hypothetical intervention reducing pollutant levels to the 25th percentile observed in our sample on preeclampsia risk, overall and stratified by race/ethnicity. Prevalence of preeclampsia was 6.8%. Median (interquartile range) levels of NO2, BC, and UFPs were 10.8 ppb (9.0, 13.0), 0.34 μg/m3 (0.27, 0.42), and 29.2 # × 103/cm3 (26.6, 32.6), respectively. Changes in the risk of preeclampsia achievable by limiting each pollutant to the 25th percentile were NO2 RD = -1.5 per 100 women (95% confidence interval (CI): -2.5, -0.5); BC RD = -1.0 (95% CI: -2.2, 0.02); and UFP RD = -0.5 (95% CI: -1.8, 0.7). Estimated effects were the largest for non-Latina Black mothers: NO2 RD = -2.8 (95% CI: -5.2, -0.3) and BC RD = -3.0 (95% CI: -6.4, 0.4).
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Affiliation(s)
- Dana E. Goin
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of California, San Francisco, San Francisco, California, 94158, United States of America
| | - Sylvia Sudat
- Research, Development and Dissemination, Sutter Health, Walnut Creek, California, 94596, United States of America
| | - Corinne Riddell
- Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, and Management & School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
| | - Joshua S. Apte
- Department of Civil and Environmental Engineering & School of Public Health, University of California, Berkeley, Berkeley, California, 94720, United States of America
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, 94158, United States of America
| | - Deborah Karasek
- Preterm Birth Initiative, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, 94158, United States of America
| | - Joan A. Casey
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, 10032, United States of America
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Particulate matter and hypertensive disorders in pregnancy: systematic review and meta-analysis. Public Health 2021; 200:22-32. [PMID: 34653738 DOI: 10.1016/j.puhe.2021.08.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/18/2021] [Accepted: 08/18/2021] [Indexed: 01/14/2023]
Abstract
OBJECTIVES We aimed to quantitatively synthesize the association between maternal exposure to particulate matter (PM; including PM <2.5 μm and PM <10 μm) and hypertensive disorders in pregnancy (HDP; including gestational hypertension [GH] and pre-eclampsia) and to explore the influence of certain factors on the outcome. STUDY DESIGN Meta-analysis was used to quantitatively synthesize the results of similar independent studies. METHODS Original documents were identified by searching six electronic bibliographic databases from their inceptions to August 17, 2021. Then we performed meta-analysis to combine the effect estimates if at least three estimates reported the same exposure and outcome and used stratified analysis to evaluate the impact of exposure assessment method, data source, and study area on heterogeneity. In addition, we used the 95% prediction interval to evaluate the potential effects of exposure in random effects meta-analysis. RESULTS The overall meta-analysis showed that the risk of HDP was significantly associated with per 5 μg/m3 increase in PM2.5 exposure during T1 and PM10 exposure during T, with odds ratios [ORs] 1.06 (95% confidence interval [CI]: 1.01-1.12) and 1.04 (95% CI: 1.02-1.07), respectively. The results also showed that PM2.5 exposure during T1 and T2 and PM10 exposure during T1 increased the incidence of GH; the summary ORs were 1.11 (95% CI: 1.01-1.23), 1.16 (95% CI: 1.05-1.29), and 1.04 (95% CI: 1.02-1.07), respectively. Subgroup analyses showed that the pooled effects were generally significant or more apparent in studies using models to assess exposure, studies whose data derived from birth registers, and studies in Europe. CONCLUSIONS This meta-analysis showed that PM exposure was associated with increased HDP risks, and the association varied by study area, data source, and exposure assessment method. With the continuous improvement of research design and exposure assessment, future research may find higher risks.
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Stanhope KK, Adeyemi DI, Li T, Johnson T, Boulet SL. The relationship between the neighborhood built and social environment and hypertensive disorders of pregnancy: A scoping review. Ann Epidemiol 2021; 64:67-75. [PMID: 34547447 DOI: 10.1016/j.annepidem.2021.09.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/03/2021] [Accepted: 09/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Theory and limited empirical research suggest that the neighborhood environment influences maternal health outcomes. The goal of this scoping review is to summarize extant research considering the impact of the built and social environment of resident neighborhood on hypertensive disorders of pregnancy (HDP) globally. METHODS We performed a systematic search of the literature using four databases, PubMed, Web of Science, CINAHL, and Embase on July 15, 2020. We excluded articles not in English, that did not consider one or more HDP as a primary or secondary outcome, and that did not include an element of the neighborhood built or social environment as an exposure. We applied a modified version of the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies to evaluate quality of included studies. RESULTS Our search identified 11,385 unique abstracts for screening. Following exclusions, we included 64 articles in the final review. The majority of articles measured an element of the built environment (70.3% (44)), most commonly traffic-related air pollution (42.2% (27)). A third of articles (31.3% (20)) considered an element of the neighborhood social environment, most commonly neighborhood deprivation (10.9% (7)). Global quality ratings were mostly moderate (29.7% (19)) or weak (68.8% (44)), primarily due to inattention to neighborhood-level confounding. CONCLUSION Critical gaps remain in understanding how the resident neighborhood may impact HDP. Future research should focus on designing high-quality studies incorporating elements of both the built and social environment to holistically understand how context may impact maternal health.
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Affiliation(s)
- Kaitlyn K Stanhope
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA,.
| | - Deborah I Adeyemi
- Department of Epidemiology, Rollin School of Public Health, Emory University, Atlanta, GA
| | - Tanya Li
- Emory College of Arts and Sciences, Emory University, Atlanta, GA
| | | | - Sheree L Boulet
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA
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Rammah A, Whitworth KW, Amos CI, Estarlich M, Guxens M, Ibarluzea J, Iñiguez C, Subiza-Pérez M, Vrijheid M, Symanski E. Air Pollution, Residential Greenness and Metabolic Dysfunction during Early Pregnancy in the INfancia y Medio Ambiente (INMA) Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179354. [PMID: 34501944 PMCID: PMC8430971 DOI: 10.3390/ijerph18179354] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 12/20/2022]
Abstract
Despite extensive study, the role of air pollution in gestational diabetes remains unclear, and there is limited evidence of the beneficial impact of residential greenness on metabolic dysfunction during pregnancy. We used data from mothers in the Spanish INfancia y Medio Ambiente (INMA) Project from 2003–2008. We obtained spatiotemporally resolved estimates of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) exposures in early pregnancy and estimated residential greenness using satellite-based Normal Difference Vegetation Index (NDVI) within 100, 300 and 500 m buffers surrounding the mother’s residence. We applied logistic regression models to evaluate associations between each of the three exposures of interest and (a) glucose intolerance and (b) abnormal lipid levels. We found limited evidence of associations between increases in PM2.5 and NO2 exposures and the metabolic outcomes. Though not statistically significant, high PM2.5 exposure (≥25 µg/m3) was associated with increased odds of glucose intolerance (OR = 1.16, 95% CI: 0.82, 1.63) and high cholesterol (OR = 1.14, 95% CI: 0.90, 1.44). High NO2 exposure (≥39.8 µg/m3) was inversely associated with odds of high triglycerides (OR = 0.70, 95% CI: 0.45, 1.08). Whereas NDVI was not associated with glucose intolerance, odds of high triglycerides were increased, although the results were highly imprecise. Results were unchanged when the air pollutant variables were included in the regression models. Given the equivocal findings in our study, additional investigations are needed to assess effects of air pollution and residential greenness on metabolic dysfunction during pregnancy.
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Affiliation(s)
- Amal Rammah
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA; (A.R.); (K.W.W.)
| | - Kristina W. Whitworth
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA; (A.R.); (K.W.W.)
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Christopher I. Amos
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
- Institute of Clinical and Translational Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Department of Nursing, University of Valencia, 46010 Valencia, Spain
- Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Universitat Jaume I-Universitat de València, 46010 Valencia, Spain
| | - Mònica Guxens
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- ISGlobal, 08003 Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Spain
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center (Erasmus MC), 3015 Rotterdam, The Netherlands
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Faculty of Psychology, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastián, Spain
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Department of Statistics and Operational Research, University of Valencia, 46010 Valencia, Spain
| | - Mikel Subiza-Pérez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Department of Clinical and Health Psychology and Research Methods, University of the Basque Country UPV/EHU, 20018 San Sebastián, Spain
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (M.E.); (M.G.); (J.I.); (C.I.); (M.S.-P.); (M.V.)
- ISGlobal, 08003 Barcelona, Spain
- Department of Experimental and Health Sciences, Pompeu Fabra University, 08003 Barcelona, Spain
| | - Elaine Symanski
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX 77030, USA; (A.R.); (K.W.W.)
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
- Correspondence:
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Choe SA, Kim S, Im C, Kim SY, Wellenius G, Kim YS, Yoon TK, Kim DK. Land use and semen quality: A fertility center cohort study. PLoS One 2021; 16:e0255985. [PMID: 34383845 PMCID: PMC8360504 DOI: 10.1371/journal.pone.0255985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 07/28/2021] [Indexed: 11/24/2022] Open
Abstract
This study explored the association between built environment and semen parameters among men who sought fertility evaluation. We used a data of 5,886 men living in the Seoul capital area whose semen was tested at a single fertility center during 2016–2018. Distance to fresh water, the coast, major roadways, and neighborhood greenness measured by Normalized Difference Vegetation Index (NDVI) were evaluated. Outcome indicators were semen volume, sperm concentration, percentage of progressive motility, vitality, normal morphology, and total motile sperm count. Linear regression models were fitted to standardized values of six semen indicators. Majority of men were white-collar, clerical, and service workers. Linear associations between built environment features and semen quality indicators were not evident except for NDVI within 500 m and sperm vitality (β = 0.05; 95% confidence interval (CI): 0.01, 0.09). The 2nd quartile of distance to fresh water was associated with lower progressive motility compared to the 1st quartile (β = −0.10; 95% CI: −0.17, −0.03). Proportion of vitality was higher among men in the 2nd quartile of distance to roadways than those in the 1st quartile (0.08; 95% CI: 0.01, 0.15). Men in the 2nd quartile of NDVI had higher total motile sperm count (0.09; 95% CI: 0.01, 0.17). In the multi-exposure model, the positive association between NDVI and vitality remained (0.03; 95% CI: 0.00, 0.06). We observed potential evidence regarding the impact of built environment on male fertility, specifically a positive association between residential greenness and sperm vitality among men with a history of infertility.
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Affiliation(s)
- Seung-Ah Choe
- Department of Preventive Medicine, Korea University Medical College, Seoul, South Korea
| | - Seulgi Kim
- Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Changmin Im
- Department of Geography, Korea University, Seoul, South Korea
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyunggi-do, South Korea
| | - Gregory Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States of America
| | - You Shin Kim
- Department of Obstetrics and Gynecology, CHA Fertility Center Seoul Station, CHA University School of Medicine, Seoul, South Korea
| | - Tae Ki Yoon
- Department of Obstetrics and Gynecology, CHA Fertility Center Seoul Station, CHA University School of Medicine, Seoul, South Korea
| | - Dae Keun Kim
- Department of Urology, CHA Fertility Center Seoul Station, CHA University School of Medicine, Seoul, South Korea
- * E-mail:
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Zhang H, Wang Q, Benmarhnia T, Jalaludin B, Shen X, Yu Z, Ren M, Liang Q, Wang J, Ma W, Huang C. Assessing the effects of non-optimal temperature on risk of gestational diabetes mellitus in a cohort of pregnant women in Guangzhou, China. ENVIRONMENT INTERNATIONAL 2021; 152:106457. [PMID: 33706037 DOI: 10.1016/j.envint.2021.106457] [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: 07/31/2020] [Revised: 01/12/2021] [Accepted: 02/08/2021] [Indexed: 06/12/2023]
Abstract
Previous observational studies have shown that exposure to ambient temperature and air pollution were associated with the incidence of gestational diabetes mellitus (GDM). However, the susceptible time window of non-optimal temperature on GDM is still unknown, and the interaction with air pollution has not been examined. We conducted a prospective cohort study in Guangzhou, China to investigate the windows of susceptibility of temperature extremes and variability on the risk of GDM and to explore any interaction effect with air pollution. Daily maximum (Tmax), minimum temperature (Tmin) and diurnal temperature range (DTR) were obtained from Guangdong Meteorological Service. Distributed lag non-linear models with a logistic regression were applied to assess the effect of temperature extremes and DTR in different weeks of gestation on GDM. To examine the interaction effect, relative excess risk due to interaction index, attributable proportion and synergy index were calculated. There were 5,165 pregnant women enrolled, of which 604 were diagnosed with GDM (11.7%). Compared with a reference temperature (50th percentile of Tmax), we found that extreme high temperature (99th percentile of Tmax) exposure during 21st and 22nd gestational weeks was associated with an increased risk of GDM. Extreme low temperature (1st percentile of Tmax) exposure during 14th to 17th weeks increased the risk of GDM. We observed that per 1 °C increment of DTR during 21st to 24th weeks was associated with an elevated GDM risk. No interaction effect of temperature extremes or variability with air pollution on GDM were observed. Our results suggested that non-optimal temperature is an independent risk factor of GDM. The time window of susceptibility for extreme temperatures and DTR exposure on the risk of GDM generally occurred in second trimester of pregnancy. In the context of climate change, our study has important implications for reproductive health and justifies more research in different climate zones.
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Affiliation(s)
- Huanhuan Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, China; School of Public Health, Zhengzhou University, Zhengzhou, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health, University of California, San Diego, USA; Scripps Institution of Oceanography, University of California, San Diego, USA
| | - Bin Jalaludin
- School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Xiaoting Shen
- Center for Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qianhong Liang
- Department of Ultrasound, Panyu Maternal and Child Care Service Center, Guangzhou, 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
| | - Wenjun Ma
- Guangdong Provincial Institution of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China; School of Public Health, Zhengzhou University, Zhengzhou, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
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Kim JH, Choi YY, Yoo SI, Kang DR. Association between ambient air pollution and high-risk pregnancy: A 2015-2018 national population-based cohort study in Korea. ENVIRONMENTAL RESEARCH 2021; 197:110965. [PMID: 33722528 DOI: 10.1016/j.envres.2021.110965] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/26/2021] [Accepted: 02/27/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Several studies have indicated that prenatal exposure to ambient air pollution is associated with an increased risk of gestational diabetes mellitus, hypertensive disorder during pregnancy, preterm birth, and stillbirth. However, no previous study has focused on the association between the number of pregnancy complications and exposure to ambient air pollution. OBJECTIVES To investigate the association between prenatal exposure to ambient air pollutants and the number of pregnancy complications in high-risk pregnancies. METHODS We collected data on gestational diabetes mellitus, hypertensive disorder during pregnancy, preterm birth, and stillbirth from the National Health Information Databases, provided by the Korean National Health Insurance Service.R To assess individual-level exposure to air pollutants, a spatial prediction model and area-averaging approach were used. RESULTS From 2015 to 2018, data of 789,595 high-risk pregnancies were analyzed. The ratio of gestational diabetes mellitus in the country was the highest, followed by preterm birth, hypertensive disorder during pregnancy, and stillbirth. Approximately 71.7% of pregnant women (566,143) presented with one pregnancy complication in identical pregnancies, 27.5% (216,714) presented with two, and 0.9% (6738) presented with three or more. Multiple logistic regression models with adjustments for age, residence, and income variables indicated that the risk of having two or more pregnancy complications was positively associated with the exposure to higher levels of PM10 (odds ratio [OR], 1.11; 95% confidence interval [CI], 1.09-1.12) and PM2.5 (OR, 1.14; 95% CI, 1.12-1.15). The highest quartile presented higher odds of two or more pregnancy complications compared with the lower three quartiles of PM10, PM2.5, CO, NO2, and SO2 exposures (p < 0.001). CONCLUSION The results indicate that the risk of pregnancy complications is positively associated with the exposure to the high concentrations of PM10, PM2.5, CO, NO2, and SO2.
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Affiliation(s)
- Ju Hee Kim
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, 02447, Republic of Korea.
| | - Yoon Young Choi
- Artificial Intelligence Big Data Medical Center, Wonju College of Medicine, Yonsei University, Wonju, 26426, Republic of Korea
| | - Soo-In Yoo
- Department of Nursing, College of Nursing Science, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Dae Ryong Kang
- Department of Precision Medicine, Wonju College of Medicine, Yonsei University, Wonju, 26426, Republic of Korea.
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Hu Q, Wang D, Yue D, Xu C, Hu B, Cheng P, Zhai Y, Mai H, Li P, Gong J, Zeng X, Jiang T, Mai D, Fu S, Guo L, Lin W. Association of ambient particle pollution with gestational diabetes mellitus and fasting blood glucose levels in pregnant women from two Chinese birth cohorts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 762:143176. [PMID: 33158526 DOI: 10.1016/j.scitotenv.2020.143176] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 08/21/2020] [Accepted: 10/13/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Fasting blood glucose may capture the adverse effects of air pollution on pregnant women better than the incidence of gestational diabetes mellitus (GDM), but evidence on the association between air pollution and maternal glucose concentrations is limited. OBJECTIVE To investigate the associations between air pollutants, GDM and fasting blood glucose during pregnancy. METHODS We recruited 2326 pregnant women from two birth cohorts located in Guangzhou and Heshan, the Pearl River Delta region (PRD), China. PM10, PM2.5 and black carbon (BC) exposure concentrations in the first and second trimesters of pregnancy were collected at fixed-site monitoring stations for each cohort. Multiple logistic regressions were employed to estimate the associations between particle pollution and GDM. Mixed-effects models were used to evaluate the associations of air pollutants with blood glucose levels. Restricted cubic spline functions were fitted to visualize the concentration-response relationships. Distributed lag non-linear models were used to estimate week-specific lag effects of particle pollution exposure on GDM and blood glucose. Unconstrained distributed lag models with lags of 0-3 weeks were used to examine potential cumulative effects. RESULTS We observed positive and significant associations of PM10, PM2.5 and BC exposure with fasting glucose, particularly in the second trimester. PM10, PM2.5 and BC were strongly correlated and displayed similar cumulative (lag 0-3 weeks) associations with fasting blood glucose. Exposure to particle pollution was not associated with 1-h or 2-h blood glucose. Models estimating the association between air pollutants and GDM were consistent with statistical insignificance. CONCLUSIONS Based on the results of the present study, exposure to air pollution during pregnancy exerts cumulative, adverse effects on fasting glucose levels. This study provides preliminary support for the use of blood glucose levels to explore the potential health impact of air pollution on pregnant women.
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Affiliation(s)
- Qiansheng Hu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Duo Wang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Dingli Yue
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou 510308, Guangdong, China
| | - Chengfang Xu
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Bo Hu
- Department of Clinical Laboratory, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Peng Cheng
- Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, Guangdong, China
| | - Yuhong Zhai
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangzhou 510308, Guangdong, China
| | - Huiying Mai
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Ping Li
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Jiao Gong
- Department of Clinical Laboratory, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, Guangdong, China
| | - Xiaoling Zeng
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Tingwu Jiang
- Department of Clinical Laboratory, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Dejian Mai
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shaojie Fu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Lihua Guo
- Department of Obstetrics and Gynecology, Heshan Maternal and Child Health Hospital, Heshan, 529700 Jiangmen, Guangdong, China
| | - Weiwei Lin
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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Association between residential greenness and glycosylated hemoglobin in pregnant women: Findings from the baseline data of Yuexiu birth cohort. Int J Hyg Environ Health 2021; 234:113721. [PMID: 33662751 DOI: 10.1016/j.ijheh.2021.113721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 02/15/2021] [Accepted: 02/16/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Previous studies have indicated that residential greenness can affect human health, but limited studies have examined the association between residential greenness and glucose homeostasis during pregnancy. We aimed to investigate the associations of residential greenness with plasma glucose, glycosylated hemoglobin (HbA1c) and gestational diabetes mellitus (GDM). METHODS We recruited a total of 587 pregnant women aged 20-45 years in Guangzhou, China. We extracted normalized difference vegetation index with different buffers (NDVI-250m, 500m and 1000m) from remote satellite data based on maternal residential addresses. We measured plasma glucose levels and HbA1c during 20-28 weeks' gestation, and GDM was diagnosed with a 75-g oral glucose tolerance test. We collected the information of relevant covariates by face-to-face interviews and questionnaires. We used generalized linear regression to examine the associations of residential greenness with quantitative and categorized outcomes. RESULTS In the final analyses, 123 (21.0%) of the pregnant women were diagnosed as GDM at 20-28 weeks gestation. With a 0.1 unit increase in NDVI-250m, the percent of HbA1c changed by -0.05% [95% confidence interval (CI): -0.08, -0.02]. The results of HbA1c were consistent when using different resolution of NDVI [NDVI-500m: 0.03, 95%CI: -0.05, -0.01; NDVI-1000m: 0.05, 95%CI: -0.08, -0.02]. We observed non-significant associations of glucose levels and the risk of GDM in relation to NDVI with different resolutions when adjusted for confounding. The results remained robust in sensitivity analyses. CONCLUSION The present study in Guangzhou, China was the first to identify negative association of NDVI with HbA1c in pregnant women, but we did not observe its association with plasma glucose levels or the risk of GDM. The results support that building sufficient green infrastructure could be considered in urban design and planning to promote maternal health.
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Zhang H, Zhao Y. Ambient air pollution exposure during pregnancy and gestational diabetes mellitus in Shenyang, China: a prospective cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:7806-7814. [PMID: 33037545 DOI: 10.1007/s11356-020-11143-x] [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: 07/14/2020] [Accepted: 10/05/2020] [Indexed: 06/11/2023]
Abstract
The prevalence of gestational diabetes mellitus (GDM) is increasing worldwide. Reports of the association between air pollution exposure and GDM have been inconsistent in previous studies. We conducted a cohort study to investigate the associations between air pollution exposure and GDM in the city of Shenyang in Northeast China for the first time. We studied interactions with different air pollutant exposures and conducted a stratified analysis according to folic acid intake, age, body mass index (BMI), primiparity, and sleep quality. We found significant associations between prenatal exposure to NOx and SO2 and the development of GDM during the second trimester: the largest effect on GDM was exposure to SO2 (odds ratio (OR): 1.77, 95% confidence interval (CI): 1.23-2.56) in the largest quartile compared with the lowest quartile. Significant interactions between age, BMI, parity, sleep quality, and air pollution exposures were observed; stratified analysis showed stronger associations between GDM and high air pollutant exposure in pregnant women with older age, larger BMI, poorer sleep quality, and more parity. We found that air pollution exposure during the second trimester was significantly associated with GDM in a prospective birth cohort study in Northeast China. SO2, oxynitride (NOX, NO2, NO), CO, and O3 all showed a linear trend effect on GDM. Interactions between prenatal air pollution exposure and other factors, such as age at pregnancy, BMI before pregnancy, primiparity, folic acid intake, and sleep quality, during the second trimester might exist.
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Affiliation(s)
- Hehua Zhang
- Clinical Reserch Center, Shengjing Hospital of China Medical University, Huaxiang Road No. 39, Tiexi District, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Sanhao Street, No. 36, Heping District, China.
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Bearblock E, Aiken CE, Burton GJ. Air pollution and pre-eclampsia; associations and potential mechanisms. Placenta 2020; 104:188-194. [PMID: 33360680 DOI: 10.1016/j.placenta.2020.12.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/11/2020] [Accepted: 12/15/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Air pollution has significant negative health impacts, particularly on the cardiovascular system. The aims of this narrative review were to identify whether there is an association between air pollution and the incidence of pre-eclampsia, and the potential mechanisms by which any effects may be mediated. METHODS We undertook a literature search using Google Scholar, PubMed, the Cochrane Library and NICE Evidence. The primary eligibility criterion was articles correlating exposure to air pollution with incidence of pre-eclampsia. RESULTS Meta-analyses currently show a positive association between pre-eclampsia and exposure to both particulate matter PM2.5 and nitrogen dioxide, but no significant associations with ambient ozone or carbon monoxide exposure. No meta-analysis has been performed for exposure to sulfur dioxide. Variability in terms of quantification of exposure, the exposure period and co-founders among the studies makes comparisons complex. Adverse effects on trophoblast invasion and placental vascularisation, and increases in oxidative stress and anti-angiogenic factors, such as sFlt-1, in response to air pollution provide pathways by which exposure may contribute to the pathophysiology of pre-eclampsia. So far, studies have not discriminated between the early- and late-onset forms of the syndrome. DISCUSSION Future prospective studies using personal air pollution monitors and blood biomarkers of pre-eclampsia would strengthen the associations. Interactions between pollutants are poorly documented, and at present there is minimal informed advice available to women on the need to avoid exposure to air pollutants during pregnancy.
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Affiliation(s)
- Elizabeth Bearblock
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Catherine E Aiken
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK; Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Graham J Burton
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK; Centre for Trophoblast Research, University of Cambridge, Cambridge, UK.
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Najafi ML, Zarei M, Gohari A, Haghighi L, Heydari H, Miri M. Preconception air pollution exposure and glucose tolerance in healthy pregnant women in a middle-income country. Environ Health 2020; 19:131. [PMID: 33298083 PMCID: PMC7727159 DOI: 10.1186/s12940-020-00682-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 12/01/2020] [Indexed: 05/11/2023]
Abstract
BACKGROUND Preconception exposure to air pollution has been associated with glucose tolerance during pregnancy. However, the evidence in low and middle-income countries (LMICs) is under debate yet. Therefore, this study aimed to assess the relationship between exposure to ambient particulate matter (PM) and traffic indicators with glucose tolerance in healthy pregnant women in Sabzevar, Iran (2019). METHODS Two-hundred and fifty healthy pregnant women with singleton pregnancies and 24-26 weeks of gestations participated in our study. Land use regression (LUR) models were applied to estimate the annual mean of PM1, PM2.5 and PM10 at the residential address. Traffic indicators, including proximity of women to major roads as well as total streets length in 100, 300 and 500 m buffers around the home were calculated using the street map of Sabzevar. The oral glucose tolerance test (OGTT) was used to assess glucose tolerance during pregnancy. Multiple linear regression adjusted for relevant covariates was used to estimate the association of fasting blood glucose (FBG), 1-h and 2-h post-load glucose with PMs and traffic indicators. RESULTS Exposure to PM1, PM2.5 and PM10 was significantly associated with higher FBG concentration. Higher total streets length in a 100 m buffer was associated with higher FBG and 1-h glucose concentrations. An interquartile range (IQR) increase in proximity to major roads was associated with a decrease of - 3.29 mg/dL (95% confidence interval (CI): - 4.35, - 2.23, P-value < 0.01) in FBG level and - 3.65 mg/dL (95% CI, - 7.01, - 0.28, P-value = 0.03) decrease in 1-h post-load glucose. CONCLUSION We found that higher preconception exposure to air pollution was associated with higher FBG and 1-h glucose concentrations during pregnancy.
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Affiliation(s)
- Moslem Lari Najafi
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Mehdi Zarei
- Department of Physical Education and Sport Science, Faculty of Human Science, University of Neyshabur, Neyshabur, Iran
| | - Ali Gohari
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Leyla Haghighi
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Hafez Heydari
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.
| | - Mohammad Miri
- Non-Communicable Diseases Research Center, Department of Environmental Health, School of Health, Sabzevar University of Medical Sciences, PO Box 319, Sabzevar, Iran.
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Preston EV, Eberle C, Brown FM, James-Todd T. Climate factors and gestational diabetes mellitus risk - a systematic review. Environ Health 2020; 19:112. [PMID: 33168031 PMCID: PMC7653781 DOI: 10.1186/s12940-020-00668-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 10/15/2020] [Indexed: 05/04/2023]
Abstract
BACKGROUND Current and projected increases in global temperatures and extreme climate events have led to heightened interest in the impact of climate factors (i.e. ambient temperature, season/seasonality, and humidity) on human health. There is growing evidence that climate factors may impact metabolic function, including insulin sensitivity. Gestational diabetes mellitus (GDM) is a common pregnancy complication, with an estimated global prevalence of up to 14%. While lifestyle and genetic risk factors for GDM are well established, environmental factors may also contribute to GDM risk. Previous reviews have summarized the growing evidence of environmental risk factors for GDM including endocrine disrupting chemicals and ambient air pollution. However, studies of the effects of climate factors on GDM risk have not been systematically evaluated. Therefore, we conducted a systematic review to summarize and evaluate the current literature on the associations of climate factors with GDM risk. METHODS We conducted systematic searches in PubMed and EMBASE databases for original research articles on associations of climate factors (i.e. ambient temperature, season/seasonality, and humidity) with GDM and/or related glycemic outcomes for all publication dates through September 20th, 2020. RESULTS Our search identified 16 articles on the associations of ambient temperature and/or season with GDM and maternal glycemic outcomes during pregnancy, which were included in this review. Despite inconsistencies in exposure and outcome assessment, we found consistent evidence of a seasonal effect on GDM risk, with higher prevalence of GDM and higher pregnancy glucose levels in summer months. We found suggestive evidence of an association between higher ambient temperature and elevated glucose levels from GDM screening tests. CONCLUSION Climate factors may be associated with GDM risk. However, further research is needed to evaluate these associations and to elucidate the specific mechanisms involved.
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Affiliation(s)
- Emma V. Preston
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Building 1, Room 1411, 677 Huntington Ave, Boston, MA 02118 USA
| | - Claudia Eberle
- Medicine with specialization in Internal Medicine and General Medicine, Hochschule Fulda - University of Applied Sciences, Fulda, Germany
| | | | - Tamarra James-Todd
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Building 1, Room 1411, 677 Huntington Ave, Boston, MA 02118 USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
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Ye B, Zhong C, Li Q, Xu S, Zhang Y, Zhang X, Chen X, Huang L, Wang H, Zhang Z, Huang J, Sun G, Xiong G, Yang X, Hao L, Yang N, Wei S. The Associations of Ambient Fine Particulate Matter Exposure During Pregnancy With Blood Glucose Levels and Gestational Diabetes Mellitus Risk: A Prospective Cohort Study in Wuhan, China. Am J Epidemiol 2020; 189:1306-1315. [PMID: 32286614 DOI: 10.1093/aje/kwaa056] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 04/08/2020] [Accepted: 04/08/2020] [Indexed: 02/06/2023] Open
Abstract
Investigators in previous studies have drawn inconsistent conclusions regarding the relationship between relatively low exposure to fine particulate matter (particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5)) and risk of gestational diabetes mellitus (GDM), while the association between high PM2.5 exposure and GDM risk has not been well studied. We investigated the association of high PM2.5 exposure during pregnancy with blood glucose levels and GDM risk in Chinese women. The present study was conducted from August 2013 to May 2016 among 3,967 pregnant women in the Tongji Maternal and Child Health Cohort in Wuhan, China. PM2.5 exposure during pregnancy for each participant was estimated by means of land-use regression models. An interquartile-range increase in PM2.5 exposure (33.84 μg/m3 for trimester 1 and 33.23 μg/m3 for trimester 2) was associated with 36% (95% confidence interval (CI): 1.15, 1.61) and 23% (95% CI: 1.01, 1.50) increased odds of GDM during trimester 1 and trimester 2, respectively. An interquartile-range increment of PM2.5 exposure during trimester 1 increased 1-hour and 2-hour blood glucose levels by 1.40% (95% CI: 0.42, 2.37) and 1.82% (95% CI: 0.98, 2.66), respectively. The same increment of PM2.5 exposure during trimester 2 increased fasting glucose level by 0.85% (95% CI: 0.41, 1.29). Our findings suggest that high PM2.5 exposure during pregnancy increases blood glucose levels and GDM risk in Chinese women.
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