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Fu TT, Luo HX, Na ZJ, Xia CL, Fan L. Association between prenatal environmental tobacco smoke exposure and preterm birth: A systematic review and meta-analysis. Acta Obstet Gynecol Scand 2025. [PMID: 40249738 DOI: 10.1111/aogs.15126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2025] [Revised: 03/26/2025] [Accepted: 03/31/2025] [Indexed: 04/20/2025]
Abstract
INTRODUCTION The purpose of this systematic review and meta-analysis is to evaluate the global risk of preterm birth associated with passive smoking. Specifically, the study aims to examine whether passive smoking continues to impact preterm birth rates, with particular attention to the potential effects following the implementation of stricter smoking bans in recent years. MATERIAL AND METHODS This systematic review and meta-analysis followed PRISMA guidelines and was preregistered in PROSPERO. A comprehensive literature search was conducted in PubMed, Embase, CINAHL, and Web of Science up to February 17, 2024, using keywords related to passive smoking and preterm birth. Eligible observational studies were selected, and data were independently extracted and assessed for quality by two authors. Statistical analysis used odds ratios (ORs) and the I2 statistic for heterogeneity. Subgroup analyses and publication bias assessments were conducted. Review Manager and Stata were used for the analysis, with significance set at p < 0.05. RESULTS Meta-analysis showed a 21% increase in the odds of preterm birth in women exposed to environmental tobacco smoke (ETS) (OR, 1.21; 95% CI, 1.10-1.32) with significant heterogeneity (I2 = 76.2%). Stronger associations were found in cohort and cross-sectional studies, studies in Asia, larger sample sizes, and recent publications. Findings were robust across various analyses. CONCLUSIONS Prenatal environmental tobacco smoke exposure significantly increases preterm birth risk. Effective public health interventions, including stringent smoke-free policies, public education, and awareness campaigns, are needed to reduce environmental tobacco smoke exposure and improve maternal and infant health outcomes.
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Affiliation(s)
- Tong-Tong Fu
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Han-Xiao Luo
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Zhi-Jing Na
- Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Chun-Ling Xia
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Ling Fan
- Department of Nursing, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Dzekem BS, Aschebrook-Kilfoy B, Olopade CO. Air Pollution and Racial Disparities in Pregnancy Outcomes in the United States: A Systematic Review. J Racial Ethn Health Disparities 2024; 11:535-544. [PMID: 36897527 PMCID: PMC10781802 DOI: 10.1007/s40615-023-01539-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Exposure to air pollutants and other environmental factors increases the risk of adverse pregnancy outcomes. There is growing evidence that adverse outcomes related to air pollution disproportionately affect racial and ethnic minorities. The objective of this paper is to explore the importance of race as a risk factor for air pollution-related poor pregnancy outcomes. METHODS Studies investigating the effects of exposure to air pollution on pregnancy outcomes by race were reviewed. A manual search was conducted to identify missing studies. Studies that did not compare pregnancy outcomes among two or more racial groups were excluded. Pregnancy outcomes included preterm births, small for gestational age, low birth weight, and stillbirths. RESULTS A total of 124 articles explored race and air pollution as risk factors for poor pregnancy outcome. Thirteen percent of these (n=16) specifically compared pregnancy outcomes among two or more racial groups. Findings across all reviewed articles showed more adverse pregnancy outcomes (preterm birth, small for gestational age, low birth weight, and stillbirths) related to exposure to air pollution among Blacks and Hispanics than among non-Hispanic Whites. CONCLUSION Evidence support our general understanding of the impact of air pollution on birth outcomes and, specifically, of disparities in exposure to air pollution and birth outcomes for infants born to Black and Hispanic mothers. The factors driving these disparities are multifactorial, mostly social, and economic factors. Reducing or eliminating these disparities require interventions at individual, community, state, and national level.
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Affiliation(s)
- Bonaventure S Dzekem
- Biological Sciences Division, Department of Medicine, The University of Chicago, Chicago, IL, USA.
- Center for Global Health, Biological Science Division, The University of Chicago, 5841 S Maryland Ave, suite G-120, Chicago, IL, 60637, USA.
- Internal Medicine Residency Program, Department of Medicine, The University of Chicago, Chicago, IL, USA.
| | | | - Christopher O Olopade
- Biological Sciences Division, Department of Medicine, The University of Chicago, Chicago, IL, USA
- Center for Global Health, Biological Science Division, The University of Chicago, 5841 S Maryland Ave, suite G-120, Chicago, IL, 60637, USA
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Zhang S, Hu H, Liu X, Liu Z, Mao Y, Li Z, Huang K, Chen M, Gao G, Hu C, Zhang X. The impact of household fuel usage on adverse pregnancy outcomes in rural Ma'anshan City, Anhui Province: a birth cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:100950-100958. [PMID: 37644269 DOI: 10.1007/s11356-023-29543-0] [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: 05/26/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023]
Abstract
The combustion of cooking fuels generates detrimental gases significantly impacting human health, particularly for vulnerable populations like expectant mothers. Prenatal exposure of such hazardous emissions raises the probability of adverse pregnancy outcomes, including preterm birth (PTB) and low birth weight (LBW). Our research aims to explore the association between cooking fuel utilization and adverse birth outcomes in rural Ma'anshan, Anhui Province. A prospective cohort study was executed, employing the Maternal and Infant Health Assessment questionnaire to classify fuels into clean (natural gas, electricity) and polluting energy sources (coal, coal gas, firewood). Multivariate logistic regression models were conducted to evaluate the association between fuel consumption and postpartum maternal and infant outcomes. Among the 442 surveyed pregnant women, 38.2% (N=169) utilized polluting fuels. After adjusting for covariates such as age and BMI, the relative risks of preterm birth, low birth weight, and postpartum hemorrhage in the polluting fuel group compared to the clean fuel group were OR: 3.27, 95% CI: 1.34, 8.00; OR: 3.50, 95% CI: 1.12, 10.90; and OR: 3.18, 95% CI: 1.06, 9.46, respectively. These results indicate that the usage of polluting fuels during pregnancy may heighten the risk of adverse birth outcomes. Consequently, additional research is advised to mitigate the harmful emissions generated by cooking fuels and advocate for clean energy adoption, enhancing maternal and infant well-being.
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Affiliation(s)
- Sun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Huiyu Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xuejie Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zheye Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yicheng Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zhenhua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Kai Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
- The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Maolin Chen
- Department of Gynecology and Obstetrics, Ma'anshan Maternal and Child Health Hospital, Ma'anshan, 243000, China
| | - Guopeng Gao
- Department of Child Health Care, Ma'anshan Maternal and Child Health Hospital, Ma'anshan, 243000, China
| | - Chengyang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, 81 Meishan Road, Hefei, 230032, China.
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Downward GS, Vermeulen R. Ambient Air Pollution and All-Cause and Cause-Specific Mortality in an Analysis of Asian Cohorts. Res Rep Health Eff Inst 2023; 2016:1-53. [PMID: 37424069 PMCID: PMC7266370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023] Open
Abstract
INTRODUCTION Much of what is currently known about the adverse effects of ambient air pollution comes from studies conducted in high-income regions, with relatively low air pollution levels. The aim of the current project is to examine the relationship between exposure to ambient air pollution (as predicted from satellite-based models) and all-cause and cause-specific mortality in several Asian cohorts. METHODS Cohorts were recruited from the Asia Cohort Consortium (ACC). The geocoded residences of participants were assigned levels of ambient particulate material with aerodynamic diameter of 2.5 μm or less (PM2.5) and nitrogen dioxide (NO2) utilizing global satellite-derived models and assigned for the year of enrollment (or closest available year). The association between ambient exposure and mortality was established with Cox proportional hazard models, after adjustment for common confounders. Both single- and two-pollutant models were generated. Model robustness was evaluated, and hazard ratios were calculated for each cohort separately and combined via random effect meta-analysis for pooled risk estimates. RESULTS Six cohort studies from the ACC participated: the Community-based Cancer Screening Program (CBCSCP, Taiwan), the Golestan Cohort Study (Iran), the Health Effects for Arsenic Longitudinal Study (HEALS, Bangladesh), the Japan Public Health Center-based Prospective Study (JPHC), the Korean Multi-center Cancer Cohort Study (KMCC), and the Mumbai Cohort Study (MCS, India). The cohorts represented over 340,000 participants. Mean exposures to PM2.5 ranged from 8 to 58 μg/m3. Mean exposures to NO2 ranged from 7 to 23 ppb. For PM2.5, a positive, borderline nonsignificant relationship was observed between PM2.5 and cardiovascular mortality. Other relationships with PM2.5 tended toward the null in meta-analysis. For NO2, an overall positive relationship was observed between exposure to NO2 and all cancers and lung cancer. A borderline association between NO2 and nonmalignant lung disease was also observed. The findings within individual cohorts remained consistent across a variety of subgroups and alternative analyses, including two-pollutant models. CONCLUSIONS In a pooled examination of cohort studies across Asia, ambient PM2.5 exposure appears to be associated with an increased risk of cardiovascular mortality and ambient NO2 exposure is associated with an increased cancer (and lung cancer) mortality. This project has shown that satellite-derived models of pollution can be used in examinations of mortality risk in areas with either incomplete or missing air pollution monitoring.
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Affiliation(s)
- G S Downward
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - R Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
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Li M, Wan Y, Qian X, Wang A, Mahai G, He Z, Li Y, Xu S, Xia W. Urinary metabolites of multiple volatile organic compounds among pregnant women across pregnancy: Variability, exposure characteristics, and associations with selected oxidative stress biomarkers. ENVIRONMENT INTERNATIONAL 2023; 173:107816. [PMID: 36805810 DOI: 10.1016/j.envint.2023.107816] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Volatile organic compounds (VOCs) are a group of pollutants pervasive in daily life with identified adverse health effects. However, no study has investigated the variability in VOC metabolites during pregnancy and their relationships with oxidative stress biomarkers in pregnant women. In the present study, the variability of 21 selected VOC metabolites was examined and their relationships with three selected oxidative stress biomarkers measured in spot urine samples at three trimesters of 1094 pregnant women were analyzed. Nineteen VOC metabolites were ubiquitous in the urine samples with detection rates ranging from 75.9% to 100%. Monohydroxybutenyl mercapturic acid (MHBMA) and s-phenyl mercapturic acid (PMA) had detection rates lower than 1.00%. Intraclass correlation coefficients (ICCs) of the detected analytes at three trimesters ranged 0.07-0.24, and the concentrations were highest in the first trimester. Higher concentrations of some VOC metabolites were related with participant characteristics including higher pre-pregnancy body mass index (BMI), lower education level, unemployment during pregnancy, multiparity, and sampling season of summer or winter. In repeated cross-sectional analyses, interquartile range (IQR) increases in the 19 detected VOC metabolites were positively related with 8-hydroxy-2'-deoxyguanosine (8-OHdG), 8-hydroxyguanosine (8-OHG), and 4-hydroxy nonenal mercapturic acid (HNEMA) with the estimates ranging from 9.00% to 204%. The mixture effect of the VOC metabolites on the oxidative stress biomarkers was further assessed using weighted quantile sum regression (WQS) models and the results showed that the WQS index of VOC metabolite mixture was significantly associated with 8-OHdG (β: 0.37, 0,32, and 0.39 at the 1st, 2nd, and 3rd trimester, respectively), 8-OHG (0.38, 0.32, and 0.39) and HNEMA (1.21, 1.08, and 1.10). Glycidamide mercapturic acid (GAMA), and trans,trans-muconic acid (MU) were the strongest contributors of the mixture effect on 8-OHdG, 8-OHG, and HNEMA, respectively. Overall, urinary concentrations of the VOC metabolites during pregnancy were strongly associated with the oxidative stress biomarkers.
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Affiliation(s)
- Mei Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Yanjian Wan
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Xi Qian
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Aizhen Wang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Gaga Mahai
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Zhenyu He
- Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China.
| | - Yuanyuan Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
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6
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O’Sharkey K, Xu Y, Chavez T, Johnson M, Cabison J, Rosales M, Grubbs B, Toledo-Corral CM, Farzan SF, Bastain T, Breton CV, Habre R. In-utero personal exposure to PM 2.5 impacted by indoor and outdoor sources and birthweight in the MADRES cohort. ENVIRONMENTAL ADVANCES 2022; 9:100257. [PMID: 36778968 PMCID: PMC9912940 DOI: 10.1016/j.envadv.2022.100257] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
BACKGROUND In-utero exposure to outdoor particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) is linked with low birthweight. However, previous results are mixed, likely due to measurement error introduced by estimating personal exposure from ambient data. This study investigated the effect of total personal PM2.5 exposure on birthweight and whether it differed when it was more heavily impacted by sources of indoor vs outdoor origin in the MADRES cohort study. METHODS Personal PM2.5 exposure was measured in 205 pregnant women in the 3rd trimester using 48 h integrated, filter-based sampling. Linear regression was used to test the association between personal PM2.5 exposure and birthweight, adjusting for key covariates. Interactions of PM2.5 with variables representing indoor sources of PM2.5, home ventilation, or time spent indoors tested whether the effect of total PM2.5 on birthweight varied when it was more impacted by sources of indoor vs outdoor origin. RESULTS In a sample of largely Hispanic (81%) pregnant women, total personal PM2.5 was not significantly associated with birthweight (β = 38.6 per 1SD increase in PM2.5; 95% CI:-21.1, 98.2). This association however, differed by home type (single family home: 156.9 (26.9, 287.0), 2-4 attached units:-16.6 (-111.9, 78.7), 5+ units:-62.6 (-184.9, 59.6), missing: 145.4 (-4.1, 294.9), interaction p = 0.028) and by household air conditioner use (none of the time: -27.6 (-101.5, 46.3) vs. some of the time: 139.9 (42.9, 237.0), interaction p = 0.008) Additionally, the effect of personal PM2.5 on birthweight varied by time spent indoors (none or little of the time: - 45.1 (-208.3, 118.1) vs. most or all of the time: 57.1 (-7.3, 121.6), interaction p = 0.255). CONCLUSIONS While no significant association between total personal PM2.5 exposure and birthweight was found, there was evidence that multi-unit housing (vs. single-family homes), candle and/or incense smoke, and greater outdoor source contributions to personal PM2.5 were more strongly associated with lower birthweight.
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Affiliation(s)
- Karl O’Sharkey
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Mark Johnson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Jane Cabison
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Marisela Rosales
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Brendan Grubbs
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
- Department of Health Sciences, California State University Northridge, Northridge, CA, United States
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Theresa Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States
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Koelmel JP, Lin EZ, Nichols A, Guo P, Zhou Y, Godri Pollitt KJ. Head, Shoulders, Knees, and Toes: Placement of Wearable Passive Samplers Alters Exposure Profiles Observed. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:3796-3806. [PMID: 33625210 DOI: 10.1021/acs.est.0c05522] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Chemical exposures are a major risk factor for many diseases. Comprehensive characterization of personal exposures is necessary to highlight chemicals of concern and factors that influence these chemical exposure dynamics. For this purpose, wearable passive samplers can be applied to assess longitudinal personal exposures to airborne contaminants. Questions remain regarding the impact of sampler placement at different locations of the body on the exposure profiles observed and how these placements affect the monitoring of seasonal dynamics in exposures. This study assessed personal air contaminant exposure using passive samplers worn in parallel across 32 participant's wrists, chest, and shoes over 24 h. Samplers were analyzed by thermal desorption gas chromatography high-resolution mass spectrometry. Personal exposure profiles were similar for about one-third of the 275 identified chemicals, irrespective of sampler placement. Signals of certain semivolatile organic compounds (SVOCs) were enhanced in shoes and, to a lesser extent, wrist samplers, as compared to those in chest samplers. Signals of volatile organic compounds were less impacted by sampler placement. Results showed that chest samplers predominantly captured more volatile exposures, as compared to those of particle-bound exposures, which may indicate predominant monitoring of chemicals via the inhalation route of exposure for chest samplers. In contrast, shoe samplers were more sensitive to particle-bound SVOCs. Seventy-one chemicals changed across participants between winter and summer in the same manner for two or more different sampler placements on the body, whereas 122 chemicals were observed to have seasonal differences in only one placement. Hence, the placement in certain cases significantly impacts exposure dynamics observed. This work shows that it is essential in epidemiological studies undertaking exposure assessment to consider the consequence of the placement of exposure monitors.
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Affiliation(s)
- Jeremy P Koelmel
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, Connecticut 06510, United States
| | - Elizabeth Z Lin
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, Connecticut 06510, United States
| | - Amy Nichols
- Department of Chemical and Environmental Engineering, Yale University, 17 Hillhouse Avenue, New Haven, Connecticut 06520, United States
| | - Pengfei Guo
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, Connecticut 06510, United States
| | - Yakun Zhou
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, Connecticut 06510, United States
| | - Krystal J Godri Pollitt
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, Connecticut 06510, United States
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Caron-Beaudoin É, Whitworth KW, Bosson-Rieutort D, Wendling G, Liu S, Verner MA. Density and proximity to hydraulic fracturing wells and birth outcomes in Northeastern British Columbia, Canada. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:53-61. [PMID: 32651474 DOI: 10.1038/s41370-020-0245-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 05/29/2020] [Accepted: 06/29/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Hydraulic fracturing, a method used in Northeastern British Columbia (Canada) to extract natural gas, can release contaminants with potential deleterious health effects on fetal development. To date, the association between hydraulic fracturing activity and birth outcomes has not been evaluated in this region. OBJECTIVE To evaluate the association between the hydraulic fracturing well density/proximity and birth outcomes (birthweight, head circumference, preterm birth and small for gestational age (SGA)). METHODS We used birth records from the Fort St John hospital between December 30, 2006 and December 29, 2016 (n = 6333 births). To estimate gestational exposure, we used inverse distance weighting (IDW) to calculate the density/proximity of hydraulic fracturing wells to pregnant women's postal code centroid. For each birth, we calculated three IDWs using 2.5, 5, and 10 km buffer zones around women's postal code centroid. We used linear and logistic regressions to evaluate associations between quartiles of postal code well density/proximity and birth outcomes, controlling for relevant covariates. RESULTS No associations were found between postal code well density/proximity and head circumference or SGA. A negative association was found between postal code well density/proximity and birthweight for infants born to women in the 2nd quartile of the 10 km buffer (β [95% confidence interval (CI)]: -47.28 g [-84.30; -10.25]), and in the 2nd (β [95% CI]: -40.87 g [-78.01; -3.73]) and 3rd (β [95% CI]: -42.01 g [-79.15; -4.87]) quartiles of the 5 km buffer. Increased odds of preterm birth were observed among women in the 2nd quartile of the 2.5 km buffer (odds ratio (OR) [95% CI]: 1.60 [1.30; 2.43]). CONCLUSIONS This is the first epidemiological study in Northeastern British Columbia evaluating associations between hydraulic fracturing and health outcomes. Our results show inconsistent patterns of association between hydraulic fracturing, preterm birth and reduced birthweight, and effect estimates did not match expected dose-response relationships.
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Affiliation(s)
- Élyse Caron-Beaudoin
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, 2375 Chemin de la Cote-Sainte-Catherine, Montreal, QC, Canada.
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, 7101, Parc Ave., Montreal, QC, Canada.
- Centre for Clinical Epidemiology and Evaluation, University of British Columbia, Vancouver Coastal Health Research Institute, 828 West 10th Avenue, Research Pavilion, Vancouver, BC, Canada.
- Department of Health and Society and Department of Environmental and Physical Sciences, University of Toronto Scarborough, Toronto, ON, Canada.
| | - Kristina W Whitworth
- Department of Medicine, Epidemiology and Population Sciences Section, Baylor College of Medicine, Houston, TX, USA
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Delphine Bosson-Rieutort
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, 7101, Parc Ave., Montreal, QC, Canada
- Department of Health Policy, Management & Evaluation (DGEPS), School of Public Health, Université de Montréal, 7101 Avenue du Parc, H3N 1×9, Montreal, QC, Canada
- National Institute for Excellence in Health and Social Services (INESS), Information Management Team, 202 Avenue Union, Montreal, QC, Canada
| | - Gilles Wendling
- GW Solutions, Inc., 201-5180 Dublin Way, Nanaimo, BC, Canada
| | - Suyang Liu
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, 2375 Chemin de la Cote-Sainte-Catherine, Montreal, QC, Canada
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Marc-André Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, 2375 Chemin de la Cote-Sainte-Catherine, Montreal, QC, Canada
- Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, 7101, Parc Ave., Montreal, QC, Canada
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Koelmel JP, Lin EZ, Guo P, Zhou J, He J, Chen A, Gao Y, Deng F, Dong H, Liu Y, Cha Y, Fang J, Beecher C, Shi X, Tang S, Godri Pollitt KJ. Exploring the external exposome using wearable passive samplers - The China BAPE study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 270:116228. [PMID: 33360595 DOI: 10.1016/j.envpol.2020.116228] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 12/02/2020] [Accepted: 12/03/2020] [Indexed: 06/12/2023]
Abstract
Environmental exposures are one of the greatest threats to human health, yet we lack tools to answer simple questions about our exposures: what are our personal exposure profiles and how do they change overtime (external exposome), how toxic are these chemicals, and what are the sources of these exposures? To capture variation in personal exposures to airborne chemicals in the gas and particulate phases and identify exposures which pose the greatest health risk, wearable exposure monitors can be deployed. In this study, we deployed passive air sampler wristbands with 84 healthy participants (aged 60-69 years) as part of the Biomarkers for Air Pollutants Exposure (China BAPE) study. Participants wore the wristband samplers for 3 days each month for five consecutive months. Passive samplers were analyzed using a novel gas chromatography high resolution mass spectrometry data-processing workflow to overcome the bottleneck of processing large datasets and improve confidence in the resulting identified features. The toxicity of chemicals observed frequently in personal exposures were predicted to identify exposures of potential concern via inhalation route or other routes of airborne contaminant exposure. Three exposures were highlighted based on elevated toxicity: dichlorvos from insecticides (mosquito/malaria control), naphthalene partly from mothballs, and 183 polyaromatic hydrocarbons from multiple sources. Other exposures explored in this study are linked to diet and personal care products, cigarette smoke, sunscreen, and antimicrobial soaps. We highlight the potential for this workflow employing wearable passive samplers for prioritizing chemicals of concern at both the community and individual level, and characterizing sources of exposures for follow up interventions.
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Affiliation(s)
- Jeremy P Koelmel
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA
| | - Elizabeth Z Lin
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA
| | - Pengfei Guo
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA
| | - Jieqiong Zhou
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA
| | - Jucong He
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA
| | - Alex Chen
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
| | - Ying Gao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Fuchang Deng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Haoran Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Yu'e Cha
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | | | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China; Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China; Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Krystal J Godri Pollitt
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA.
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Shezi B, Jafta N, Naidoo RN. Exposure assessment of indoor particulate matter during pregnancy: a narrative review of the literature. REVIEWS ON ENVIRONMENTAL HEALTH 2020; 35:427-442. [PMID: 32598324 DOI: 10.1515/reveh-2020-0009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 05/03/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE The aim of this review was to summarize the evidence of the exposure assessment approaches of indoor particulate matter (PM) during pregnancy and to recommend future focus areas. CONTENT Exposure to indoor PM during pregnancy is associated with adverse birth outcomes. However, many questions remain about the consistency of the findings and the magnitude of this effect. This may be due to the exposure assessment methods used and the challenges of characterizing exposure during pregnancy. Exposure is unlikely to remain constant over the nine-month period. Pregnant females' mobility and activities vary - for example, employment status may be random among females, but among those employed, activities are likely to be greater in the early pregnancy than closer to the delivery of the child. SUMMARY Forty three studies that used one of the five categories of indoor PM exposure assessment (self-reported, personal air monitoring, household air monitoring, exposure models and integrated approaches) were assessed. Our results indicate that each of these exposure assessment approaches has unique characteristics, strengths, and weaknesses. While questionnaires and interviews are based on self-report and recall, they were a major component in the reviewed exposure assessment studies. These studies predominantly used large sample sizes. Precision and detail were observed in studies that used integrated approaches (i. e. questionnaires, measurements and exposure models). OUTLOOK Given the limitations presented by these studies, exposure misclassification remains possible because of personal, within and between household variability, seasonal changes, and spatiotemporal variability during pregnancy. Therefore, using integrated approaches (i. e. questionnaire, measurements and exposure models) may provide better estimates of PM levels across trimesters. This may provide precision for exposure estimates in the exposure-response relationship.
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Affiliation(s)
- Busisiwe Shezi
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- South African Medical Research Council, Environment and Health Research Unit, Durban, South Africa
| | - Nkosana Jafta
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Rajen N Naidoo
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
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11
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Liu X, Xiao J, Sun X, Chen Q, Yao Z, Feng B, Cao G, Guo L, He G, Hu J, Zeng W, Rong Z, Wang Q, Zhang B, Dong M, Wang J, Chen D, Ma W, Liu T. Associations of maternal ambient temperature exposures during pregnancy with the risk of preterm birth and the effect modification of birth order during the new baby boom: A birth cohort study in Guangzhou, China. Int J Hyg Environ Health 2020; 225:113481. [PMID: 32058935 DOI: 10.1016/j.ijheh.2020.113481] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 01/28/2020] [Accepted: 02/03/2020] [Indexed: 10/25/2022]
Abstract
Maternal exposures to ambient temperatures during pregnancy may increase the preterm birth (PTB) risk; however, which periods have stronger effects remain controversial. The effects of temperature exposure on PTB in first- and second-born neonate groups may be different during the new baby boom that has followed the Two-child Policy in China. We examined a birth cohort of 4928 pregnant women beginning in 2016 in Guangzhou, China. An inverse distance weighted method was used to estimate the temperature exposure at each individual residential address. A distribution lag non-linear model incorporating a Cox proportional hazard model was employed to estimate the effects of temperature exposure on PTB and test the effects modification of birth order related to the new baby boom. A total of 4101 pregnant women were included, of which 234 (5.7%) experienced PTB. Compared with the mean temperature (23.0 °C), we found a significantly higher risks of PTB associated with high temperatures (i.e, 30 °C [95th centile]) from the 4th to 8th, and 22nd to 27th gestational weeks. A peak effect was found during the 6th week (HR = 1.79, 95% CI: 1.26, 2.54) and 24th week (HR = 1.83, 95% CI: 1.27, 2.62). The risks of PTB were reduced for low temperatures (i.e. 14 °C [5th centile] versus 23.0 °C) from the 2nd to 10th and 20th to 26th gestational weeks, and the negative peak effect was found during the 4th week (HR = 0.43, 95% CI: 0.26, 0.72) and 23rd week (HR = 0.59, 95% CI: 0.43, 0.83). Stratification analyses showed that significant effects of 30 °C versus 23 °C on PTB were observed during the 4th to 8th weeks in the second-born neonate, and the peak effect was found in the 6th week (HR = 2.13, 95% CI: 1.31, 3.47). However, we did not find significant effects of 30 °C during the same weeks in the first-born neonate group. Maternal exposures to higher temperatures during pregnancy may increase the risk of PTB, and lower temperatures may decrease the risk of PTB. Stronger effects of temperature exposures during the first trimester on PTB risk were found among the second-born neonates than among the first-born neonates.
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Affiliation(s)
- Xin Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, 511442, China
| | - Qingsong Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Zhenjiang Yao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China
| | - Baixiang Feng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ganxiang Cao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Lingchuan Guo
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Guanhao He
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, China; Department of Environmental and Occupational Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Moran Dong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jiaqi Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Dengzhou Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tao Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510080, China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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12
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Lu C, Cao L, Norbäck D, Li Y, Chen J, Deng Q. Combined effects of traffic air pollution and home environmental factors on preterm birth in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 184:109639. [PMID: 31525560 DOI: 10.1016/j.ecoenv.2019.109639] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/29/2019] [Accepted: 09/03/2019] [Indexed: 05/25/2023]
Abstract
BACKGROUND Although mounting evidence have linked traffic-related air pollution (TRAP) with increased risk of preterm birth (PTB), whether it can interact with indoor environmental factors remains unknown, and its window(s) susceptibility at the stage of gestation is unclear. OBJECTIVE To explore PTB risk for prenatal exposure to traffic-related air pollution and home environmental factors during pregnancy, so as to identify critical window(s) in the combined effect of traffic air pollution and main home environmental factor(s) on PTB development. METHODS A retrospective cohort study of 3,509 preschool children was performed in Changsha, China during 2011-2012. The PTB prevalence was reported by the parents based on a questionnaire. We estimated each mother's exposure to traffic-related air pollutant NO2 in different windows of gestation, including conception month, three trimesters, birth month, and whole gestation. Maternal exposure to home environmental factors was considered by renovation (new furniture/redecoration) in pregnancy, and mold/damp stains and window condensation during perinatal period. Associations of PTB with both ambient NO2 and home environmental factors, and their interactions on PTB were evaluated by logistic regression models using odds ratio (OR) with 95% confidence interval (CI). RESULTS Traffic air pollutant NO2 exposure in utero was significantly associated with PTB, with adjusted odds ratio (OR) (95% CI) of 1.41 (1.00-1.98) for an IQR increase in NO2 exposure during whole pregnancy, particularly in the conception month and 1st trimester. We further found a positive relationship between perinatal exposure to mold/damp stains in the homes and PTB, OR (95% CI) = 1.73 (1.04-2.90). Especially, we detected a significant interaction between outdoor NO2 and indoor mold/damp stains on PTB risk. Male and female foetus were respectively more susceptible to perinatal mold/dampness at home and outdoor NO2 exposure in early gestation. CONCLUSION Our finding indicates that both outdoor traffic air pollutant and indoor mold/dampness play key roles in PTB development, and their interaction effect in early pregnancy significantly increases PTB risk.
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Affiliation(s)
- Chan Lu
- XiangYa School of Public Health, Central South University, Changsha, China; Hunan Engineering Research Center of Early Life Development and Disease Prevention, XiangYa Hospital, Central South University, Changsha, China
| | - Lanqin Cao
- Department of Gynecology, XiangYa Hospital, Central South University, Changsha, China
| | - Dan Norbäck
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Yuguo Li
- Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
| | - Jing Chen
- School of Architecture and Art, Central South University, Changsha, China
| | - Qihong Deng
- XiangYa School of Public Health, Central South University, Changsha, China; Hunan Engineering Research Center of Early Life Development and Disease Prevention, XiangYa Hospital, Central South University, Changsha, China; School of Architecture and Art, Central South University, Changsha, China.
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13
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Sheller-Miller S, Radnaa E, Arita Y, Getahun D, Jones RJ, Peltier MR, Menon R. Environmental pollutant induced cellular injury is reflected in exosomes from placental explants. Placenta 2019; 89:42-49. [PMID: 31675489 DOI: 10.1016/j.placenta.2019.10.008] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/13/2019] [Accepted: 10/14/2019] [Indexed: 12/30/2022]
Abstract
INTRODUCTION Exosomes are intercellular signaling vesicles whose cargo reflects the physiological status of the cell of their origin and can regulate gene expression in other tissues. Polybrominated diphenyl ethers (PBDEs) and bisphenols (A [BPA], Tetrabromobisphenol A [TBBPA], and 2,4,6-Tribromophenol [TBP]) are common environmental pollutants known to increase the risk for spontaneous preterm birth (PTB). We hypothesized that placental exposure to these environmental pollutants causes exosome cargo changes that reflect exposure associated placental response. METHODS Full-term, C-section placenta explants were treated with PBDE congeners (47, 100, 153, 209), TBBPA, TBP or BPA for 24 h. Exosomes were isolated from media by sequential ultracentrifugation and purified by size exclusion chromatography. Exosomes were characterized by electron microscopy, nanoparticle tracking analysis and Western blot. Proteomics identified differentially expressed exosomal proteins and Ingenuity pathway analysis (IPA) determined biological functions and pathways represented by identified proteins. RESULTS Regardless of treatment, placental expressed exosomes markers (PLAP, CD9, CD63, 81 and ALIX), had a size distribution between 50 and 175 nm and were present in the conditioned medium at 5-8 x 1011 exosomes/mL. Proteomic analysis identified 2598 proteins which demonstrated that specific pollutants caused differential expression of specific proteins, including alarmin, High Mobility Group Box 1 (HMGB1), MAPK14 (p38 MAPK) and GSK3β. IPA revealed an inhibition of pathways associated with cell survival, tissue repair and proliferation, as well as activation of cell death pathways (e.g. necrosis). CONCLUSION Environmental exposure of placental explants did not change the quantity of exosomes or their characteristics. However, exosome cargo composition exposed to some environment pollutants may be involved in placental nuclear and cellular injury and inflammation.
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Affiliation(s)
| | - Enkhtuya Radnaa
- Department of Obstetrics and Gynecology, UTMB-Galveston, Galveston, TX, USA
| | - Yuko Arita
- Department of Biomedical Research, NYU-Winthrop Hospital, Mineola, NY, USA
| | - Darios Getahun
- Department of Research and Evaluation, Kaiser-Permanente Southern California, Pasadena, CA, USA
| | - Richard J Jones
- Department of Lymphoma and Myeloma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Morgan R Peltier
- Department of Biomedical Research, NYU-Winthrop Hospital, Mineola, NY, USA; Department of Obstetrics and Gynecology, NYU-Long Island School of Medicine, Mineola, NY, USA
| | - Ramkumar Menon
- Department of Obstetrics and Gynecology, UTMB-Galveston, Galveston, TX, USA.
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Ahmed F, Hossain S, Hossain S, Fakhruddin ANM, Abdullah ATM, Chowdhury MAZ, Gan SH. Impact of household air pollution on human health: source identification and systematic management approach. SN APPLIED SCIENCES 2019. [DOI: 10.1007/s42452-019-0405-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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Liu W, Huang C, Li B, Zhao Z, Yang X, Deng Q, Zhang X, Qian H, Sun Y, Qu F, Wang L, Lin Z, Lu C, Wang H, Wang J, Cai J, Zhang J, Sun C, Mo J, Weschler LB, Norbäck D, Sundell J, Zhang Y. Household renovation before and during pregnancy in relation to preterm birth and low birthweight in China. INDOOR AIR 2019; 29:202-214. [PMID: 30597644 DOI: 10.1111/ina.12534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 12/21/2018] [Indexed: 06/09/2023]
Abstract
From October 2010 to April 2012, we conducted a cross-sectional study of associations between household environments and childhood health among preschool children in eight Chinese cities. Here, we analyze associations of early household renovation with preterm birth (PTB), low birthweight (LBW), term low birthweight (Term-LBW), and small for gestational age (SGA). Parents responded to questions about household renovation and their children's gestational age and birthweight. In the multivariate logistic regression analyses, household renovation in the year before pregnancy was significantly associated with LBW (sample size: N = 25 813; adjusted odds ratio (OR) with 95% confidence intervals (CIs): 1.23, 1.01-1.50) and Term-LBW (N = 24 823; 1.29, 1.01-1.67). Household renovation during pregnancy was significantly associated with PTB (N = 25 202; 1.28, 1.01-1.69). These significant associations were also found in the two-level (city-child) logistic regression analyses and in the sensitivity analyses among 21 009 children with complete data in all studied variates. Stronger associations were found in certain subgroups. Our findings indicate that household renovation within one year before pregnancy might be a risk factor for LBW and Term-LBW, while household renovation during pregnancy could be a risk factor for PTB.
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Affiliation(s)
- Wei Liu
- Department of Building Science, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Baizhan Li
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Xu Yang
- College of Life Sciences, Central China Normal University, Wuhan, China
| | - Qihong Deng
- School of Energy Science and Engineering, Central South University, Changsha, China
| | - Xin Zhang
- Research Center for Environmental Science and Engineering, Shanxi University, Taiyuan, China
| | - Hua Qian
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Yuexia Sun
- School of Environmental Science and Technology, Tianjin University, Tianjin, China
| | - Fang Qu
- China Meteorological Administration Training Centre, China Meteorological Administration, Beijing, China
| | - Lifang Wang
- School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou, China
| | - Zhijing Lin
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Chan Lu
- School of Energy Science and Engineering, Central South University, Changsha, China
| | - Han Wang
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Juan Wang
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden
| | - Jiao Cai
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Jialing Zhang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, China
| | | | - Dan Norbäck
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden
| | - Jan Sundell
- Department of Building Science, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, China
- School of Environmental Science and Technology, Tianjin University, Tianjin, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, China
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Svechkina A, Dubnov J, Portnov BA. Environmental risk factors associated with low birth weight: The case study of the Haifa Bay Area in Israel. ENVIRONMENTAL RESEARCH 2018; 165:337-348. [PMID: 29778968 DOI: 10.1016/j.envres.2018.05.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 04/15/2018] [Accepted: 05/07/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Low birth weight (LBW) is known to be associated with infant mortality and postnatal health complications. Previous studies revealed strong relationships between LBW rate and several socio-demographic factors, including ethnicity, maternal age, and family income. However, studies of association between LBW rate and environmental risk factors remain infrequent. STUDY METHODS We retrieved a geo-referenced data set, containing 7216 individual records of children born in 2015 in the Haifa Bay Area in Israel. Using this dataset, we analysed factors affecting LBW prevalence by applying two alternative techniques: analysis of LBW rates in small census area (SCAs) and more recently developed double kernel density (DKD) relative risk (RR) estimates. RESULTS In the SCA models, LBW rate was found to be associated with proximity to petrochemical industries (B=-0.26, 95%CI=-0.30, -0.22), road density (B=0.05, 95%CI=0.02, 0.08), distance to the seashore (B=0.17, 95%CI=0.14, 0.22), PM2.5 (B=0.06, 95%CI=0.04, 0.09) and NOx (B=0.10, 95%CI=0.06, 0.13) exposure estimates. Although similar factors emerged in the DKD models as well, in most cases, the effects of these factors in the latter models were found to be stronger: proximity to petrochemical industries (B=-0.48, 95%CI= -0.51, -0.30), road density (B=0.05, 95%CI=0.02, 0.08), distance to the seashore (B=0.24, 95%CI=0.21, 0.27), PM2.5 (B=0.08, 95%CI=0.05, 0.10) and NOx (B=0.20, 95%CI=0.17, 0.23) exposure estimates. In addition, elevation above the sea level was found to be statistically significant in spatial dependence models estimated for both DKD and SCA rates (P < 0.01). CONCLUSION The analysis revealed an excess LBW rate in residential areas located close to petrochemical industries and a protective effect of seashore proximity and elevation above the sea level on the LBW rate. We attribute the latter finding to the moderating effect of elevated seashore locations on outdoor temperatures during the hot summer season.
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Affiliation(s)
- Alina Svechkina
- Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, Mount Carmel, Haifa 3498838, Israel
| | - Jonathan Dubnov
- School of Public Health, Faculty of Welfare and Health Sciences, University of Haifa, Mount Carmel, Haifa 3498838, Israel
| | - Boris A Portnov
- Department of Natural Resources and Environmental Management, Faculty of Management, University of Haifa, Mount Carmel, Haifa 3498838, Israel.
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Liu W, Huang C, Cai J, Wang X, Zou Z, Sun C. Household environmental exposures during gestation and birth outcomes: A cross-sectional study in Shanghai, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 615:1110-1118. [PMID: 29751416 DOI: 10.1016/j.scitotenv.2017.10.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 09/28/2017] [Accepted: 10/03/2017] [Indexed: 05/21/2023]
Abstract
Several studies have reported that certain aspects of the household environments are associated with adverse birth outcomes, but associations have been inconsistent. Few of these studies have been conducted in China. During 2011-2012, we conducted a retrospective cross-sectional study and collected 13,335 parents-reported questionnaires for 4-6-year-olds children in Shanghai, China. We investigated associations of household environmental factors (environmental tobacco smoke (ETS), cooking fuel, dampness, pet-keeping, and home renovation) during gestation with preterm birth (PTB, gestational age<37weeks), low birth weight (LBW, birth weight<2500g), term low birth weight (T-LBW, LBW when the gestational age was ≥37weeks), and small for gestational age (SGA, birth weight<10th percentile of birth weight for gestational age). A total of 4.1% children were premature; 2.9% had LBW and 1.6% had T-LBW; 8.1% were SGA. In the multiple logistic regression analyses, home renovation during gestation was associated with PTB (adjusted odds ratio (OR), 95% confidence intervals (CI): 1.68, 1.11-2.54) and LBW (1.64, 0.99-2.72). Paternal smoking was associated with PTB (1.18, 0.98-1.43). No significant associations were found for SGA. Neither household dampness nor cooking fuel were significantly associated with birth outcomes. For boys, paternal smoking was associated with PTB (1.31, 1.02-1.69); home renovation during gestation was associated with PTB (2.14, 1.27-3.61) and LBW (2.19, 1.09-4.43). Among children whose mothers were ≥34-year-olds during gestation, paternal smoking (1.73, 1.04-2.76) and home renovation during gestation (1.80, 1.18-2.76) was associated with PTB. Our findings demonstrate that home renovation and ETS during gestation may be risk factors for adverse birth outcomes. Associations of these factors with adverse birth outcomes appear to be stronger in boys and among mothers older than 34years during gestation. Home renovation and ETS exposure should be avoided during gestation, especially for pregnancies with male fetuses and older pregnant women.
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Affiliation(s)
- Wei Liu
- Department of Building Science, Tsinghua University, Beijing, China; School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China.
| | - Jiao Cai
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China; School of Civil and Architectural Engineering, Yangtze Normal University, Chongqing, China
| | - Xueying Wang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhijun Zou
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
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Becker CM, Lee JGL, Hudson S, Hoover J, Civils D. A 14-year longitudinal study of the impact of clean indoor air legislation on state smoking prevalence, USA, 1997-2010. Prev Med 2017; 99:63-66. [PMID: 28188797 DOI: 10.1016/j.ypmed.2017.01.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 01/21/2017] [Accepted: 01/28/2017] [Indexed: 11/17/2022]
Abstract
While clean indoor air legislation at the state level is an evidence-based recommendation, only limited evidence exists regarding the impact of clean indoor air policies on state smoking prevalence. Using state smoking prevalence data from 1997 to 2010, a repeated measures observational analysis assessed the association between clean indoor air policies (i.e., workplace, restaurant, and bar) and state smoking prevalence while controlling for state cigarette taxes and year. The impacts from the number of previous years with any clean indoor air policy, the number of policies in effect during the current year, and the number of policies in effect the previous year were analyzed. Findings indicate a smoking prevalence predicted decrease of 0.13 percentage points (p=0.03) for each additional year one or more clean indoor air policies were in effect, a predicted decrease of 0.12 percentage points (p=0.09) for each policy in effect in the current year, and a predicted decrease of 0.22 percentage points (p=0.01) for each policy in effect in the previous year on the subsequent year. Clean indoor air policies show measurable associations with reductions in smoking prevalence within a year of implementation above and beyond taxes and time trends. Further efforts are needed to diffuse clean indoor air policies across states and provinces that have not yet adopted such policies.
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Affiliation(s)
- Craig M Becker
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC, USA.
| | - Joseph G L Lee
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC, USA
| | - Suzanne Hudson
- Department of Biostatistics, College of Allied Health Sciences, East Carolina University, Greenville, NC, USA
| | - Jeanne Hoover
- Joyner Library, East Carolina University, Greenville, NC, USA
| | - Donald Civils
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC, USA
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19
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Magzamen S, Mayer AP, Barr S, Bohren L, Dunbar B, Manning D, Reynolds SJ, Schaeffer JW, Suter J, Cross JE. A Multidisciplinary Research Framework on Green Schools: Infrastructure, Social Environment, Occupant Health, and Performance. THE JOURNAL OF SCHOOL HEALTH 2017; 87:376-387. [PMID: 28382672 DOI: 10.1111/josh.12505] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 08/15/2016] [Accepted: 08/17/2016] [Indexed: 06/07/2023]
Abstract
BACKGROUND Sustainable school buildings hold much promise to reducing operating costs, improve occupant well-being and, ultimately, teacher and student performance. However, there is a scarcity of evidence on the effects of sustainable school buildings on health and performance indicators. We sought to create a framework for a multidisciplinary research agenda that links school facilities, health, and educational outcomes. METHODS We conducted a nonsystematic review of peer review publications, government documents, organizational documents, and school climate measurement instruments. RESULTS We found that studies on the impact of physical environmental factors (air, lighting, and thermal comfort) on health and occupant performance are largely independent of research on the social climate. The current literature precludes the formation of understanding the causal relation among school facilities, social climate, occupant health, and occupant performance. CONCLUSIONS Given the average age of current school facilities in the United States, construction of new school facilities or retrofits of older facilities will be a major infrastructure investment for many municipalities over the next several decades. Multidisciplinary research that seeks to understand the impact of sustainable design on the health and performance of occupants will need to include both an environmental science and social science perspective to inform best practices and quantification of benefits that go beyond general measures of costs savings from energy efficiencies.
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Affiliation(s)
- Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO 80523-1681
| | - Adam P Mayer
- Department of Sociology, Colorado State University, 1784 Campus Delivery, Fort Collins, CO 80523-1784
| | - Stephanie Barr
- Institute for the Built Environment, Colorado State University, 1501 Campus Delivery, Fort Collins, CO 80523-1501
| | - Lenora Bohren
- Institute for the Built Environment, Colorado State University, 1501 Campus Delivery, Fort Collins, CO 80523-1501
| | - Brian Dunbar
- Institute for the Built Environment, Colorado State University, 1501 Campus Delivery, Fort Collins, CO 80523-1501
| | - Dale Manning
- Department of Agricultural and Resource Economics, Colorado State University, 1172 Campus Delivery, Fort Collins, CO 80523-1172
| | - Stephen J Reynolds
- Department of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO 80523-1681
| | - Joshua W Schaeffer
- Department of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO 80523-1681
| | - Jordan Suter
- Department of Agricultural and Resource Economics, Colorado State University, 1172 Campus Delivery, Fort Collins, CO 80523-1172
| | - Jennifer E Cross
- Department of Sociology, Colorado State University, 1784 Campus Delivery, Fort Collins, CO 80523-1784
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Johnson CD, Jones S, Paranjothy S. Reducing low birth weight: prioritizing action to address modifiable risk factors. J Public Health (Oxf) 2017; 39:122-131. [PMID: 26888979 PMCID: PMC5409066 DOI: 10.1093/pubmed/fdv212] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Background Low birth weight (LBW) affects 6.9% of all UK births and has remained largely unchanged for many years. The United Nations and the World Health Assembly have set targets to substantially reduce global incidence. Understanding the contribution of modifiable risk factors to the burden of LBW is required to ensure appropriate interventions are in place to achieve this reduction. Methods Data from published studies on the risks from key modifiable factors were used alongside prevalence data from the Welsh population to calculate the population attributable risk for each factor individually and in combination. Results Fourteen risk factors accounted for nearly half of LBW births, and 60% of those to younger mothers (<25 years). Tobacco smoke exposure was the largest contributor. We estimated that smoking in pregnancy was a factor in one in eight LBW births, increasing to one in five for women aged under 25. Conclusions Risk factors are interrelated and inequitably distributed within the population. Exposure to one factor increases the likelihood of exposure to a constellation of factors further increasing risk. Action to address LBW must consider groups where the risk factors are most prevalent and address these risk factors together using multi-component interventions.
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21
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Ferguson KK, Chin HB. Environmental chemicals and preterm birth: Biological mechanisms and the state of the science. CURR EPIDEMIOL REP 2017; 4:56-71. [PMID: 28944158 PMCID: PMC5608103 DOI: 10.1007/s40471-017-0099-7] [Citation(s) in RCA: 99] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
PURPOSE OF REVIEW Preterm birth is a significant worldwide health problem of uncertain origins. The extant body of literature examining environmental contaminant exposures in relation to preterm birth is extensive but results remain ambiguous for most organic pollutants, metals and metalloids, and air pollutants. In the present review we examine recent epidemiologic studies investigating these associations, and identify recent advances and the state of the science. Additionally, we highlight biological mechanisms of action in the pathway between chemical exposures and preterm birth, including inflammation, oxidative stress, and endocrine disruption, that deserve more attention in this context. RECENT FINDINGS Important advances have been made in the study of the environment and preterm birth, particularly in regard to exposure assessment methods, exploration of effect modification by co-morbidities and exposures, and in identification of windows of vulnerability during gestation. There is strong evidence for an association between maternal exposure to some persistent pesticides, lead, and fine particulate matter, but data on other contaminants is sparse and only suggestive trends can be noted with the current data. SUMMARY Beyond replicating current findings, further work must be done to improve understanding of mechanisms underlying the associations observed between environmental chemical exposures and preterm birth. By examining windows of vulnerability, disaggregating preterm birth by phenotypes, and measuring biomarkers of mechanistic pathways in these epidemiologic studies we can improve our ability to detect associations with exposure, provide additional evidence for causality in an observational setting, and identify opportunities for intervention.
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Affiliation(s)
- Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Helen B. Chin
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
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Morgan H, Treasure E, Tabib M, Johnston M, Dunkley C, Ritchie D, Semple S, Turner S. An interview study of pregnant women who were provided with indoor air quality measurements of second hand smoke to help them quit smoking. BMC Pregnancy Childbirth 2016; 16:305. [PMID: 27729030 PMCID: PMC5059897 DOI: 10.1186/s12884-016-1062-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 09/06/2016] [Indexed: 11/17/2022] Open
Abstract
Background Maternal smoking can cause health complications in pregnancy. Particulate matter (PM2.5) metrics applied to second hand smoke (SHS) concentrations provide indoor air quality (IAQ) measurements and have been used to promote smoking behaviour change among parents of young children. Here, we present the qualitative results from a study designed to use IAQ measurements to help pregnant women who smoke to quit smoking. Methods We used IAQ measurements in two centres (Aberdeen and Coventry) using two interventions: 1. In Aberdeen, women made IAQ measurements in their homes following routine ultrasound scan; 2. In Coventry, IAQ measurements were added to a home-based Stop Smoking in Pregnancy Service. All women were invited to give a qualitative interview to explore acceptability and feasibility of IAQ measurements to help with smoking cessation. A case study approach using grounded theory was applied to develop a typology of pregnant women who smoke. Results There were 39 women recruited (18 in Aberdeen and 21 in Coventry) and qualitative interviews were undertaken with nine of those women. Diverse accounts of smoking behaviours and experiences of participation were given. Many women reported changes to their smoking behaviours during pregnancy. Most women wanted to make further changes to their own behaviour, but could not commit or felt constrained by living with a partner or family members who smoked. Others could not envisage quitting. Using themes emerging from the interviews, we constructed a typology where women were classified as follows: ‘champions for change’; ‘keen, but not committed’; and ‘can’t quit, won’t quit’. Three women reported quitting smoking alongside participation in our study. Conclusions Pregnant women who smoke remain hard to engage,. Although providing IAQ measurements does not obviously improve quit rates, it can support changes in smoking behaviour in/around the home for some individuals. Our typology might offer a useful assessment tool for midwives. Electronic supplementary material The online version of this article (doi:10.1186/s12884-016-1062-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Heather Morgan
- Research Fellow, Health Services Research Unit, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, AB25 2ZD, UK.
| | - Elizabeth Treasure
- Lecturers in Midwifery (Robert Gordon University, Aberdeen), Research Midwives (NHS Grampian), Garthdee, Aberdeen, AB10 7AQ, UK
| | - Mo Tabib
- Lecturers in Midwifery (Robert Gordon University, Aberdeen), Research Midwives (NHS Grampian), Garthdee, Aberdeen, AB10 7AQ, UK
| | - Majella Johnston
- Stop Smoking in Pregnancy Coordinator, Coventry and Warwickshire Partnership Trust, NHS Coventry, Coventry, CV1 4FS, UK
| | - Chris Dunkley
- Stop Smoking in Pregnancy Midwife, Coventry and Warwickshire Partnership Trust, NHS Coventry, Coventry, CV1 4FS, UK
| | - Deborah Ritchie
- Honorary Lecturer in Nursing Studies, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Sean Semple
- Senior Lecturer, Respiratory Group, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, AB25 2ZG, UK
| | - Steve Turner
- Senior Lecturer (Clinical), Child Health, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen,, AB25 2ZG, UK
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Lorch SA, Enlow E. The role of social determinants in explaining racial/ethnic disparities in perinatal outcomes. Pediatr Res 2016; 79:141-7. [PMID: 26466077 PMCID: PMC11836890 DOI: 10.1038/pr.2015.199] [Citation(s) in RCA: 108] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Accepted: 08/23/2015] [Indexed: 11/09/2022]
Abstract
In the United States, there continue to be significant racial/ethnic disparities in preterm birth (PTB) rates, infant mortality, and fetal mortality rates. One potential mediator of these disparities is social determinants of health, including individual socioeconomic factors; community factors such as crime, poverty, housing, and the racial/ethnic makeup of the community; and the physical environment. Previous work has identified statistically significant associations between each of these factors and adverse pregnancy outcomes. However, there are recent studies that provide new, innovative insights into this subject, including adding social determinant data to population-based datasets; exploring multiple constructs in their analysis; and examining environmental factors. The objective of this review will be to examine this recent research on the association of each of these sets of social determinants on racial/ethnic disparities PTB, infant mortality, and fetal mortality to highlight potential areas for targeted intervention to reduce these differences.
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Affiliation(s)
- Scott A. Lorch
- Department of Neonatology, The Children’s Hospital of Philadelphia, Philadelphia, PA, U.S
| | - Elizabeth Enlow
- Department of Neonatology, The Children’s Hospital of Philadelphia, Philadelphia, PA, U.S
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Coker E, Ghosh J, Jerrett M, Gomez-Rubio V, Beckerman B, Cockburn M, Liverani S, Su J, Li A, Kile ML, Ritz B, Molitor J. Modeling spatial effects of PM(2.5) on term low birth weight in Los Angeles County. ENVIRONMENTAL RESEARCH 2015. [PMID: 26196780 DOI: 10.1016/j.envres.2015.06.044] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Air pollution epidemiological studies suggest that elevated exposure to fine particulate matter (PM2.5) is associated with higher prevalence of term low birth weight (TLBW). Previous studies have generally assumed the exposure-response of PM2.5 on TLBW to be the same throughout a large geographical area. Health effects related to PM2.5 exposures, however, may not be uniformly distributed spatially, creating a need for studies that explicitly investigate the spatial distribution of the exposure-response relationship between individual-level exposure to PM2.5 and TLBW. Here, we examine the overall and spatially varying exposure-response relationship between PM2.5 and TLBW throughout urban Los Angeles (LA) County, California. We estimated PM2.5 from a combination of land use regression (LUR), aerosol optical depth from remote sensing, and atmospheric modeling techniques. Exposures were assigned to LA County individual pregnancies identified from electronic birth certificates between the years 1995-2006 (N=1,359,284) provided by the California Department of Public Health. We used a single pollutant multivariate logistic regression model, with multilevel spatially structured and unstructured random effects set in a Bayesian framework to estimate global and spatially varying pollutant effects on TLBW at the census tract level. Overall, increased PM2.5 level was associated with higher prevalence of TLBW county-wide. The spatial random effects model, however, demonstrated that the exposure-response for PM2.5 and TLBW was not uniform across urban LA County. Rather, the magnitude and certainty of the exposure-response estimates for PM2.5 on log odds of TLBW were greatest in the urban core of Central and Southern LA County census tracts. These results suggest that the effects may be spatially patterned, and that simply estimating global pollutant effects obscures disparities suggested by spatial patterns of effects. Studies that incorporate spatial multilevel modeling with random coefficients allow us to identify areas where air pollutant effects on adverse birth outcomes may be most severe and policies to further reduce air pollution might be most effective.
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Affiliation(s)
- Eric Coker
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
| | - Jokay Ghosh
- School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Michael Jerrett
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | | | - Bernardo Beckerman
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Myles Cockburn
- Preventive Medicine and Spatial Sciences, University of Southern California, Los Angeles, CA, USA
| | - Silvia Liverani
- Department of Mathematics, Brunel University, London, United Kingdom
| | - Jason Su
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Arthur Li
- Department of Information Science, City of Hope National Cancer Center, Duarte, CA, USA
| | - Molly L Kile
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Beate Ritz
- School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
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Padula AM, Mortimer KM, Tager IB, Hammond SK, Lurmann FW, Yang W, Stevenson DK, Shaw GM. Traffic-related air pollution and risk of preterm birth in the San Joaquin Valley of California. Ann Epidemiol 2015; 24:888-95e4. [PMID: 25453347 DOI: 10.1016/j.annepidem.2014.10.004] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Revised: 09/22/2014] [Accepted: 10/10/2014] [Indexed: 01/27/2023]
Abstract
PURPOSE To evaluate associations between traffic-related air pollution during pregnancy and preterm birth in births in four counties in California during years 2000 to 2006. METHODS We used logistic regression to examine the association between the highest quartile of ambient air pollutants (carbon monoxide, nitrogen dioxide, particulate matter <10 and 2.5 μm) and traffic density during pregnancy and each of five levels of prematurity based on gestational age at birth (20-23, 24-27, 28-31, 32-33, and 34-36 weeks) versus term (37-42 weeks). We examined trimester averages and the last month and the last 6 weeks of pregnancy. Models were adjusted for birthweight, maternal age, race/ethnicity, education, prenatal care, and birth costs payment. Neighborhood socioeconomic status (SES) was evaluated as a potential effect modifier. RESULTS There were increased odds ratios (ORs) for early preterm birth for those exposed to the highest quartile of each pollutant during the second trimester and the end of pregnancy (adjusted OR, 1.4-2.8). Associations were stronger among mothers living in low SES neighborhoods (adjusted OR, 2.1-4.3). We observed exposure-response associations for multiple pollutant exposures and early preterm birth. Inverse associations during the first trimester were observed. CONCLUSIONS The results confirm associations between traffic-related air pollution and prematurity, particularly among very early preterm births and low SES neighborhoods.
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Farmer SA, Nelin TD, Falvo MJ, Wold LE. Ambient and household air pollution: complex triggers of disease. Am J Physiol Heart Circ Physiol 2015; 307:H467-76. [PMID: 24929855 DOI: 10.1152/ajpheart.00235.2014] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Concentrations of outdoor air pollution are on the rise, particularly due to rapid urbanization worldwide. Alternatively, poor ventilation, cigarette smoke, and other toxic chemicals contribute to rising concentrations of indoor air pollution. The World Health Organization recently reported that deaths attributable to indoor and outdoor air pollutant exposure are more than double what was originally documented. Epidemiological, clinical, and animal data have demonstrated a clear connection between rising concentrations of air pollution (both indoor and outdoor) and a host of adverse health effects. During the past five years, animal, clinical, and epidemiological studies have explored the adverse health effects associated with exposure to both indoor and outdoor air pollutants throughout the various stages of life. This review provides a summary of the detrimental effects of air pollution through examination of current animal, clinical, and epidemiological studies and exposure during three different periods: maternal (in utero), early life, and adulthood. Additionally, we recommend future lines of research while suggesting conceivable strategies to curb exposure to indoor and outdoor air pollutants.
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