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Tiwari I, Syer J, Spitzer D, Hodgins S, Tamrakar SR, Dhimal M, Yamamoto SS. Linking weather and health outcomes: Examining the potential influences of weather factors and particulate matter pollution on adverse pregnancy outcomes in the Kavre district, Nepal. ENVIRONMENTAL RESEARCH 2024; 256:119212. [PMID: 38797462 DOI: 10.1016/j.envres.2024.119212] [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: 02/08/2024] [Revised: 03/30/2024] [Accepted: 05/20/2024] [Indexed: 05/29/2024]
Abstract
INTRODUCTION Adverse pregnancy outcomes (APOs) include stillbirth, preterm birth, and low birthweight (LBW). Studies exploring the impact of weather factors and air pollution on APOs are scarce in Nepal. We examined the impacts of prenatal exposure to temperature, precipitation, and air pollution (PM2.5) on APOs among women living in Kavre, Nepal. METHODS We conducted a hospital and rural health centers-based historical cohort study that included health facility birth records (n = 1716) from the Nepali fiscal year 2017/18 through 2019/20. We linked health records to temperature, precipitation, and PM2.5 data for Kavre for the six months preceding each birth. A random intercept model was used to analyze birthweight, while a composite APO variable, was analyzed using multivariable logistic regression in relation to environmental exposures. RESULTS The proportion of LBW (<2500 gm), preterm birth (babies born alive before 37 weeks of gestation), and stillbirth was 13%, 4.3%, and 1.5%, respectively, in this study. Overall, around 16% of the study participants had one or more APOs. Total precipitation (β: 0.17, 95% CI 0.01 to 0.33, p = 0.03) had a positive effect on birthweight in the wetter season. Negative effects for mean maximum (β: 33.37, 95% CI -56.68 to -10.06, p = 0.005), mean (β: 32.35, 95% CI -54.44 to -10.27, p = 0.004), and mean minimum temperature (β: 29.28, 95% CI -49.58 to -8.98, p = 0.005) on birthweight was also observed in the wetter season. CONCLUSION A positive effect of temperature (mean maximum, mean, and mean minimum) and total precipitation on birthweight was found in the wetter season. This study emphasizes the need for future research using larger cohorts to elucidate these complex relationships in Nepal.
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Affiliation(s)
- Ishwar Tiwari
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, T6G 1C9, Canada.
| | - Joey Syer
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Denise Spitzer
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Stephen Hodgins
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, T6G 1C9, Canada
| | - Suman R Tamrakar
- Department of Obstetrics and Gynecology, Dhulikhel Hospital, Kavre, Nepal
| | - Meghnath Dhimal
- Nepal Health Research Council, Ram Shah Path, Kathmandu, Nepal
| | - Shelby S Yamamoto
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, T6G 1C9, Canada
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Ha S, Abatzoglou JT, Adebiyi A, Ghimire S, Martinez V, Wang M, Basu R. Impacts of heat and wildfire on preterm birth. ENVIRONMENTAL RESEARCH 2024; 252:119094. [PMID: 38723988 DOI: 10.1016/j.envres.2024.119094] [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: 01/30/2024] [Revised: 04/30/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Climate change continues to increase the frequency, intensity, and duration of heat events and wildfires, both of which are associated with adverse pregnancy outcomes. Few studies simultaneously evaluated exposures to these increasingly common exposures. OBJECTIVES We investigated the relationship between exposure to heat and wildfire smoke and preterm birth (PTB). METHODS In this time-stratified case-crossover study, participants consisted of 85,806 California singleton PTBs (20-36 gestational weeks) from May through October of 2015-2019. Birthing parent ZIP codes were linked to high-resolution daily weather, PM2.5 from wildfire smoke, and ambient air pollution data. Heat day was defined as a day with apparent temperature >98th percentile within each ZIP code and heat wave was defined as ≥2 consecutive heat days. Wildfire-smoke day was defined as a day with any exposure to wildfire-smoke PM2.5. Conditional logistic regression was used to calculate the odds ratio (OR) and 95% confidence intervals (CI) comparing exposures during a hazard period (lags 0-6) compared to control periods. Analyses were adjusted for relative humidity, fine particles, and ozone. RESULTS Wildfire-smoke days were associated with 3.0% increased odds of PTB (ORlag0: 1.03, CI: 1.00-1.05). Compared with white participants, associations appeared stronger among Black, Hispanic, Asian, and American Indians/Alaskan Native participants. Heatwave days (ORlag2: 1.07, CI: 1.02-1.13) were positively associated with PTB, with stronger associations among those simultaneously exposed to wildfire smoke days (ORlag2: 1.19, CI: 1.11-1.27). Similar findings were observed for heat days and when other temperature metrics (e.g., maximum, minimum) were used. DISCUSSION Heat and wildfire increased PTB risk with evidence of synergism. As the occurrence and co-occurrence of these events increase, exposure reduction among pregnant people is critical, especially among racial/ethnic minorities.
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Affiliation(s)
- Sandie Ha
- Department of Public Health, School of Social Sciences, Humanities and Arts, Health Science Research Institute, University of California, 5200 N Lake Rd, 95343, Merced, CA, USA.
| | - John T Abatzoglou
- Department of Management of Complex Systems, School of Engineering, University of California, Merced, USA
| | - Adeyemi Adebiyi
- Department of Life and Environmental Sciences, School of Natural Sciences, University of California, Merced, USA
| | - Sneha Ghimire
- Department of Public Health, School of Social Sciences, Humanities and Arts, Health Science Research Institute, University of California, 5200 N Lake Rd, 95343, Merced, CA, USA
| | - Valerie Martinez
- Department of Public Health, School of Social Sciences, Humanities and Arts, Health Science Research Institute, University of California, 5200 N Lake Rd, 95343, Merced, CA, USA
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Rupa Basu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
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Wang L, Zhang C, Di J, Wang Q, Ren M, Huang A, Chen S, Zhao W, Hu H, Wang A, Di Q, Ji JS, Liang W, Huang C. Increased risk of preterm birth due to heat exposure during pregnancy: Exploring the mechanism of fetal physiology. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172730. [PMID: 38663596 DOI: 10.1016/j.scitotenv.2024.172730] [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: 12/22/2023] [Revised: 04/07/2024] [Accepted: 04/22/2024] [Indexed: 05/09/2024]
Abstract
BACKGROUND Heat exposure during pregnancy can increase the risk of preterm birth (PTB) through a range of potential mechanisms including pregnancy complications, hormone secretion and infections. However, current research mainly focuses on the effect of heat exposure on pathophysiological pathways of pregnant women, but ignore that maternal heat exposure can also cause physiological changes to the fetus, which will affect the risk of PTB. OBJECTIVE In this study, we aimed to explore the mediating role of fetal heart rate (FHR) in the relationship between maternal heat exposure and PTB incidence. METHODS We assigned heat exposure to a multi-center birth cohort in China during 2015-2018, which included all 162,407 singleton live births with several times FHR measurements during the second and third trimesters. We examined the associations between heat exposure, FHR and PTB in the entire pregnancy, each trimester and the last gestational month. The inverse odds ratio-weighted approach applied to the Cox regression was used to identify the mediation effect of heat exposure on PTB and its clinical subtypes via FHR. FINDINGS Exposure to heat significantly increased the risk of PTB during the third trimester and the entire pregnancy, hazard ratios and 95 % CIs were 1.266 (1.161, 1.379) and 1.328 (1.218, 1.447). Heat exposure during the third trimester and entire pregnancy increased FHR in the third trimester by 0.24 bpm and 0.14 bpm. The proportion of heat exposure mediated by FHR elevation on PTB and its subtype ranged from 3.68 % to 24.06 %, with the significant mediation effect found for both medically indicated PTB and spontaneous PTB. CONCLUSIONS This study suggests that heat exposure during pregnancy has an important impact on fetal health, and FHR, as a surrogate marker of fetal physiology, may mediate the increased risk of PTB caused by extreme heat. Monitoring and managing physiological changes in the fetus would constitute a promising avenue to reduce adverse birth outcomes associated with maternal heat exposure.
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Affiliation(s)
- Liyun Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chunying Zhang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangli Di
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Aiqun Huang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Sidi Chen
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Zhao
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huanqing Hu
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ailing Wang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China.
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Johnston FH, Williamson G, Borchers-Arriagada N, Henderson SB, Bowman DMJS. Climate Change, Landscape Fires, and Human Health: A Global Perspective. Annu Rev Public Health 2024; 45:295-314. [PMID: 38166500 DOI: 10.1146/annurev-publhealth-060222-034131] [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] [Indexed: 01/04/2024]
Abstract
Landscape fires are an integral component of the Earth system and a feature of prehistoric, subsistence, and industrial economies. Specific spatiotemporal patterns of landscape fire occur in different locations around the world, shaped by the interactions between environmental and human drivers of fire activity. Seven distinct types of landscape fire emerge from these interactions: remote area fires, wildfire disasters, savanna fires, Indigenous burning, prescribed burning, agricultural burning, and deforestation fires. All can have substantial impacts on human health and well-being directly and indirectly through (a) exposure to heat flux (e.g., injuries and destructive impacts), (b) emissions (e.g., smoke-related health impacts), and (c) altered ecosystem functioning (e.g., biodiversity, amenity, water quality, and climate impacts). Minimizing the adverse effects of landscape fires on population health requires understanding how human and environmental influences on fire impacts can be modified through interventions targeted at individual, community, and regional levels.
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Affiliation(s)
- Fay H Johnston
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia;
- National Health and Medical Research Council (NHMRC) Centre for Safe Air, Hobart, Tasmania, Australia
| | - Grant Williamson
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
- National Health and Medical Research Council (NHMRC) Centre for Safe Air, Hobart, Tasmania, Australia
| | | | - Sarah B Henderson
- Environmental Health Services, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - David M J S Bowman
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
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Weeda LJZ, Bradshaw CJA, Judge MA, Saraswati CM, Le Souëf PN. How climate change degrades child health: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 920:170944. [PMID: 38360325 DOI: 10.1016/j.scitotenv.2024.170944] [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: 11/01/2023] [Revised: 02/08/2024] [Accepted: 02/11/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Children are more vulnerable than adults to climate-related health threats, but reviews examining how climate change affects human health have been mainly descriptive and lack an assessment of the magnitude of health effects children face. This is the first systematic review and meta-analysis that identifies which climate-health relationships pose the greatest threats to children. OBJECTIVES We reviewed epidemiologic studies to analyse various child health outcomes due to climate change and identify the relationships with the largest effect size. We identify population-specific risks and provide recommendations for future research. METHODS We searched four large online databases for observational studies published up to 5 January 2023 following PRISMA (systematic review) guidelines. We evaluated each included study individually and aggregated relevant quantitative data. We used quantitative data in our meta-analysis, where we standardised effect sizes and compared them among different groupings of climate variables and health outcomes. RESULTS Of 1301 articles we identified, 163 studies were eligible for analysis. We identified many relationships between climate change and child health, the strongest of which was increasing risk (60 % on average) of preterm birth from exposure to temperature extremes. Respiratory disease, mortality, and morbidity, among others, were also influenced by climate changes. The effects of different air pollutants on health outcomes were considerably smaller compared to temperature effects, but with most (16/20 = 80 %) pollutant studies indicating at least a weak effect. Most studies occurred in high-income regions, but we found no geographical clustering according to health outcome, climate variable, or magnitude of risk. The following factors were protective of climate-related child-health threats: (i) economic stability and strength, (ii) access to quality healthcare, (iii) adequate infrastructure, and (iv) food security. Threats to these services vary by local geographical, climate, and socio-economic conditions. Children will have increased prevalence of disease due to anthropogenic climate change, and our quantification of the impact of various aspects of climate change on child health can contribute to the planning of mitigation that will improve the health of current and future generations.
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Affiliation(s)
- Lewis J Z Weeda
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia.
| | - Corey J A Bradshaw
- Global Ecology | Partuyarta Ngadluku Wardli Kuu, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia; Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage, EpicAustralia.org.au, Australia
| | - Melinda A Judge
- Telethon Kids Institute, Perth, Western Australia, Australia; Department of Mathematics and Statistics, University of Western Australia, Perth, Western Australia, Australia
| | | | - Peter N Le Souëf
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, Perth, Western Australia, Australia
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Bonell A, Part C, Okomo U, Cole R, Hajat S, Kovats S, Sferruzzi-Perri AN, Hirst JE. An expert review of environmental heat exposure and stillbirth in the face of climate change: Clinical implications and priority issues. BJOG 2024; 131:623-631. [PMID: 37501633 DOI: 10.1111/1471-0528.17622] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 07/11/2023] [Indexed: 07/29/2023]
Abstract
Exposure to extreme heat in pregnancy increases the risk of stillbirth. Progress in reducing stillbirth rates has stalled, and populations are increasingly exposed to high temperatures and climate events that may further undermine health strategies. This narrative review summarises the current clinical and epidemiological evidence of the impact of maternal heat exposure on stillbirth risk. Out of 20 studies, 19 found an association between heat and stillbirth risk. Recent studies based in low- to middle-income countries and tropical settings add to the existing literature to demonstrate that all populations are at risk. Additionally, both short-term heat exposure and whole-pregnancy heat exposure increase the risk of stillbirth. A definitive threshold of effect has not been identified, as most studies define exposure as above the 90th centile of the usual temperature for that population. Therefore, the association between heat and stillbirth has been found with exposures from as low as >12.64°C up to >46.4°C. The pathophysiological pathways by which maternal heat exposure may lead to stillbirth, based on human and animal studies, include both placental and embryonic or fetal impacts. Although evidence gaps remain and further research is needed to characterise these mechanistic pathways in more detail, preliminary evidence suggests epigenetic changes, alteration in imprinted genes, congenital abnormalities, reduction in placental blood flow, size and function all play a part. Finally, we explore this topic from a public health perspective; we discuss and evaluate the current public health guidance on minimising the risk of extreme heat in the community. There is limited pregnancy-specific guidance within heatwave planning, and no evidence-based interventions have been established to prevent poor pregnancy outcomes. We highlight priority research questions to move forward in the field and specifically note the urgent need for evidence-based interventions that are sustainable.
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Affiliation(s)
- Ana Bonell
- Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Fajara, The Gambia
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Cherie Part
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Uduak Okomo
- Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Rebecca Cole
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Shakoor Hajat
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Sari Kovats
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Amanda N Sferruzzi-Perri
- Department of Physiology, Development and Neuroscience, Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Jane E Hirst
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
- The George Institute for Global Health, Imperial College London, London, UK
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Hu WH, Gao XY, Li XX, Lin QM, He LP, Lai YS, Hao YT. Spatial-temporal distribution of preterm birth in China, 1990-2020: A systematic review and modelling analysis. Paediatr Perinat Epidemiol 2024; 38:130-141. [PMID: 38168744 DOI: 10.1111/ppe.13028] [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: 01/18/2023] [Revised: 11/03/2023] [Accepted: 11/29/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Little is known about the long-term trends of preterm birth rates in China and their geographic variation by province. OBJECTIVES To estimate the annual spatial-temporal distribution of preterm birth rates in China by province from 1990 to 2020. DATA SOURCES We searched PubMed, EMBASE, Web of Science, CNKI, WANFANG and VIP from January 1990 to September 2023. STUDY SELECTION AND DATA EXTRACTION Studies that provided data on preterm births in China after 1990 were included. Data were extracted following the Guidelines for Accurate and Transparent Health Estimates Reporting. SYNTHESIS We assessed the quality of each survey using a 9-point checklist. We estimated the annual preterm birth risk by province using Bayesian multilevel logistic regression models considering potential socioeconomic, environmental, and sanitary predictors. RESULTS Based on 634 survey data from 343 included studies, we found a gradual increase in the preterm birth risk in most provinces in China since 1990, with an average annual increase of 0.7% nationally. However, the preterm birth rates in Inner Mongolia, Hubei, and Fujian Province showed a decline, while those in Sichuan were quite stable since 1990. In 2020, the estimates of preterm birth rates ranged from 2.9% (95% Bayesian credible interval [BCI] 2.1, 3.8) in Inner Mongolia to 8.5% (95% BCI 6.6, 10.9) in Jiangxi, with the national estimate of 5.9% (95% BCI 4.3, 8.1). Specifically, some provinces were identified as high-risk provinces for either consistently high preterm birth rates (e.g. Jiangxi) or relatively large increases (e.g. Shanxi) since 1990. CONCLUSIONS This study provides annual information on the preterm birth risk in China since 1990 and identifies high-risk provinces to assist in targeted control and intervention for this health issue.
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Affiliation(s)
- Wei-Hua Hu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, China
| | - Xin-Yuan Gao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiu-Xiu Li
- Department of Science and Education, Maternal and Child Health Center in Nanshan District, Shenzhen, China
| | - Qing-Mei Lin
- Department of Health Care, Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Li-Ping He
- Department of Operating Room, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Ying-Si Lai
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Yuan-Tao Hao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, China
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Pan R, Song J, Yi W, Liu J, Song R, Li X, Liu L, Yuan J, Wei N, Cheng J, Huang Y, Zhang X, Su H. Heatwave characteristics complicate the association between PM 2.5 components and schizophrenia hospitalizations in a changing climate: Leveraging of the individual residential environment. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 271:115973. [PMID: 38219619 DOI: 10.1016/j.ecoenv.2024.115973] [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: 11/05/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND In the era characterized by global environmental and climatic changes, understanding the effects of PM2.5 components and heatwaves on schizophrenia (SCZ) is essential for implementing environmental interventions at the population level. However, research in this area remains limited, which highlights the need for further research and effort. We aim to assess the association between exposure to PM2.5 components and hospitalizations for SCZ under different heatwave characteristics. METHODS We conducted a 16 municipalities-wide, individual exposure-based, time-stratified, case-crossover study from January 1, 2017, to December 31, 2020, encompassing 160736 hospitalizations in Anhui Province, China. Daily concentrations of PM2.5 components were obtained from the Tracking Air Pollution in China dataset. Conditional logistic regression models were used to investigate the association between PM2.5 components and hospitalizations. Additionally, restricted cubic spline models were used to identify protective thresholds of residential environment in response to environmental and climate change. RESULTS Our findings indicate a positive correlation between PM2.5 and its components and hospitalizations. Significantly, a 1 μg/m3 increase in black carbon (BC) was associated with the highest risk, at 1.58% (95%CI: 0.95-2.25). Exposure to heatwaves synergistically enhanced the impact of PM2.5 components on hospitalization risks, and the interaction varied with the intensity and duration of heatwaves. Under the 99th percentile heatwave events, the impact of PM2.5 and its components on hospitalizations was most pronounced, which were PM2.5 (2-4d: 4.59%, 5.09%, and 5.09%), sulfate (2-4d: 21.73%, 23.23%, and 25.25%), nitrate (2-4d: 17.51%, 16.93%, and 20.31%), ammonium (2-4d: 27.49%, 31.03%, and 32.41%), organic matter (2-4d: 32.07%, 25.42%, and 24.48%), and BC (2-4d: 259.36%, 288.21%, and 152.52%), respectively. Encouragingly, a protective effect was observed when green and blue spaces comprised more than 17.6% of the residential environment. DISCUSSION PM2.5 components and heatwave exposure were positively associated with an increased risk of hospitalizations, although green and blue spaces provided a mitigating effect.
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Affiliation(s)
- Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Yuee Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, 241002 Wuhu, Anhui, China
| | - Xulai Zhang
- Anhui Mental Health Center (Affiliated Psychological Hospital of Anhui Medical University), Hefei, Anhui, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Center for Big Data and Population Health of IHM, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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Xiao X, Liu R, Zhang Z, Jalaludin B, Heinrich J, Lao X, Morawska L, Dharmage SC, Knibbs LD, Dong GH, Gao M, Yin C. Using individual approach to examine the association between urban heat island and preterm birth: A nationwide cohort study in China. ENVIRONMENT INTERNATIONAL 2024; 183:108356. [PMID: 38043323 DOI: 10.1016/j.envint.2023.108356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/22/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Evidence suggests that maternal exposure to heat might increase the risk of preterm birth (PTB), but no study has investigated the effect from urban heat island (UHI) at individual level. AIMS Our study aimed to investigate the association between individual UHI exposure and PTB. METHODS We utilized data from the ongoing China Birth Cohort Study (CBCS), encompassing 103,040 birth records up to December 2020. UHI exposure was estimated for each participant using a novel individual assessment method based on temperature data and satellite-derived land cover data. We used generalized linear mixed-effects models to estimate the association between UHI exposure and PTB, adjusting for potential confounders including maternal characteristics and environmental factors. RESULTS Consistent and statistically significant associations between UHI exposure and PTB were observed up to 21 days before birth. A 5 °C increment in UHI exposure was associated with 27 % higher risk (OR = 1.27, 95 % confident interval: 1.20, 1.34) of preterm birth in lagged day 1. Stratified analysis indicated that the associations were more pronounced in participants who were older, had higher pre-pregnancy body mass index level, of higher socioeconomic status and living in greener areas. CONCLUSION Maternal exposure to UHI was associated with increased risk of PTB. These findings have implications for developing targeted interventions for susceptible subgroups of pregnant women. More research is needed to validate our findings of increased risk of preterm birth due to UHI exposure among pregnant women.
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Affiliation(s)
- Xiang Xiao
- Department of Geography, Hong Kong Baptist University, Hong Kong, China
| | - Ruixia Liu
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China
| | - Zheng Zhang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China
| | - Bin Jalaludin
- School of Public Health and Community Medicine, The University of New South Wales, Kensington 2052, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich 80336, Germany
| | - Xiangqian Lao
- Department of Biomedical Sciences, the City University of Hong Kong, Hong Kong, China
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane 4059, Australia
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3052, Australia
| | - Luke D Knibbs
- School of Public Health, The University of Sydney, NSW 2006, Australia; Public Health Research Analytics and Methods for Evidence, Public Health Unit, Sydney Local Health District, Camperdown, NSW 2050, Australia
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Meng Gao
- Department of Geography, Hong Kong Baptist University, Hong Kong, China; Center for Ocean Research in Hong Kong and Macau (CORE), Hong Kong, China.
| | - Chenghong Yin
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China.
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10
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Zhou W, Wang Q, Li R, Zhang Z, Kadier A, Wang W, Zhou F, Ling L. Heatwave exposure in relation to decreased sleep duration in older adults. ENVIRONMENT INTERNATIONAL 2024; 183:108348. [PMID: 38064924 DOI: 10.1016/j.envint.2023.108348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 10/31/2023] [Accepted: 11/21/2023] [Indexed: 01/25/2024]
Abstract
Few studies have delved into the effects of heatwaves on sleep duration loss among older adults. Our study examined correlations between heatwave exposure and sleep duration reductions in this demographic. Utilizing data of 7,240 older adults drawn from the China Health and Retirement Longitudinal Study (CHARLS) from 2015 to 2018, we assessed sleep duration differences between the baseline year (2015) and follow-up year (2018). Absolute reductions in sleep duration were defined as differences of ≥ 1, 1.5, or 2 h. Changes in sleep duration were categorized based on cut-offs of 5 and 8 h, including excessive decrease, moderate to short and persistent short sleep duration types. 12 heatwave definitions combining four thresholds (90th, 92.5th, 95th, and 97.5th percentiles of daily minimum temperature) and three durations (≥2, ≥3 and ≥ 4 days) were used. Heatwave exposure was determined by the difference in the number of 12 preceding months' heatwave days or events in 2015 and the number of 12 preceding months' heatwave days or events in 2018. The results showed that increased heatwave events (defined as ≥ P90th percentile & lasting three days) were associated with a higher likelihood of ≥ 1-hour sleep reduction and persistent short sleep duration. An increase in heatwave event (defined as ≥ P95th percentile & lasting three days) was linked to shifts from moderate to short sleep duration. For the association between an absolute reduction in sleep duration and heatwave exposure, while higher thresholds signified greater sleep reduction risks, the effect estimates of longer durations were not uniformly consistent. We observed that air pollution and green space modified the relationship between heatwaves and sleep duration. Females, urban residents, and individuals with chronic diseases were identified as vulnerable populations. This study found that increased heatwave exposure was associated with a higher risk of sleep duration loss in older adults.
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Affiliation(s)
- Wensu Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qiong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Rui Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhirong Zhang
- School of Mathematics, Sun Yat-Sen University, Sun Yat-sen University, Guangzhou, China
| | - Aimulaguli Kadier
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenjuan Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fenfen Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; Clinical Research Design Division, Clinical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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11
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Zhou W, Wang Q, Li R, Zhang Z, Wang W, Zhou F, Ling L. The effects of heatwave on cognitive impairment among older adults: Exploring the combined effects of air pollution and green space. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166534. [PMID: 37647952 DOI: 10.1016/j.scitotenv.2023.166534] [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: 04/25/2023] [Revised: 07/23/2023] [Accepted: 08/22/2023] [Indexed: 09/01/2023]
Abstract
The association between heatwaves and cognitive impairment in older adults, especially the joint effect of air pollution and green space on this association, remains unknown. The present cohort study used data from waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2008 to 2018. Heatwaves were defined as having daily maximum temperature ≥ 92.5th, 95th and 97.5th percentile that continued at least two, three and four days, measured as the one-year heatwave days prior to the participants' incident cognitive impairment. Data on the annual average air pollutant concentrations of fine particulate matter (PM2.5) and ozone (O3) as well as green space exposure (according to the Normalized Difference Vegetation Index (NDVI)) were collected. Time-varying Cox proportional hazards models were constructed to examine the independent effect of heatwaves on cognitive impairment and the combined effect of heatwaves, air pollution, and green space on cognitive impairment. Potential multiplicative interactions were examined by adding a product term of air pollutants and NDVI with heatwaves in the models. The relative excess risk due to interaction (RERI) was calculated to reflect additive interactions. We found that heatwave exposure was associated with higher risks of cognitive impairment, with hazard ratios (HRs) and 95 % confidence intervals (CIs) ranging from 1.035 (95 % CI: 1.016-1.055) to 1.058 (95 % CI: 1.040-1.075). We observed a positive interaction of PM2.5 concentrations, O3 concentrations, lack of green space, and heatwave exposure on a multiplicative scale (HRs for product terms >1). Furthermore, we found a synergistic interaction of PM2.5 concentrations, O3, lack of green space, and heatwave exposure on an additive scale, with RERIs >0. These results suggest that extreme heat exposure may be a potential risk factor for cognitive impairment in older adults. Additionally, coexposure to air pollution and lack of green space exacerbated the adverse effects of heatwaves on cognitive function.
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Affiliation(s)
- Wensu Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qiong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Rui Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhirong Zhang
- School of Mathematics, Sun Yat-Sen University, Sun Yat-sen University, Guangzhou, China
| | - Wenjuan Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fenfen Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; Clinical Research Design Division, Clinical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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12
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Singh T, Jalaludin B, Hajat S, Morgan GG, Meissner K, Kaldor J, Green D, Jegasothy E. Acute air pollution and temperature exposure as independent and joint triggers of spontaneous preterm birth in New South Wales, Australia: a time-to-event analysis. Front Public Health 2023; 11:1220797. [PMID: 38098836 PMCID: PMC10720724 DOI: 10.3389/fpubh.2023.1220797] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/23/2023] [Indexed: 12/17/2023] Open
Abstract
Introduction Exposure to high ambient temperatures and air pollution has been shown to increase the risk of spontaneous preterm birth (sPTB). Less clear are the effects of cold and the joint effects of air pollution and temperature. Methods Using a Cox proportional hazard regression model, we assessed the risk of independent and combined short-term exposure to ambient daily mean temperature and PM2.5 associated with sPTB in the last week before delivery on overall sPTB (weeks 23-36) and three subtypes: extremely sPTB, very sPTB, and moderate-to-late sPTB for a birth cohort of 1,318,570 births from Australia (Jan 2001-Dec 2019), while controlling for chronic exposure (i.e., throughout pregnancy except the last week before delivery) to PM2.5 and temperature. The temperature was modeled as a natural cubic spline, PM2.5 as a linear term, and the interaction effect was estimated using a multiplicative term. For short-term exposure to temperature hazard ratios reported are relative to the median temperature (18.1°C). Results Hazard ratios at low temperature [5th percentile(11.5°C)] were 0.95 (95% CI: 0.90, 1.00), 1.08 (95% CI: 0.84, 1.4), 0.87 (95% CI: 0.71, 1.06), and 1.00 (95% CI: 0.94, 1.06) and greater for high temperature [95th percentile (24.5°C)]: 1.22 (95% CI: 1.16, 1.28), 1.27 (95% CI: 1.03, 1.57), and 1.26 (95% CI: 1.05, 1.5) and 1.05 (1.00, 1.11), respectively, for overall, extremely, very, and moderate-to-late sPTBs. While chronic exposure to PM2.5 had adverse effects on sPTB, short-term exposure to PM2.5 appeared to have a negative association with all types of sPTB, with hazard ratios ranging from 0.86 (95th CI: 0.80, 0.94) to 0.98 (95th CI: 0.97, 1.00) per 5 μg/m3 increase in PM2.5. Discussion The risk of sPTB was found to increase following acute exposure to hot and cold ambient temperatures. Earlier sPTB subtypes seemed to be the most vulnerable. This study adds to the evidence that short-term exposure to ambient cold and heat and longer term gestational exposure to ambient PM2.5 are associated with an elevated risk of sPTB.
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Affiliation(s)
- Tanya Singh
- Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia
- Australian Research Council Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
| | - Bin Jalaludin
- School of Population Health, University of New South Wales, Kensington, NSW, Australia
- Ingham Institute for Applied Medical Research, University of New South Wales, Sydney, NSW, Australia
| | - Shakoor Hajat
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Geoffrey G. Morgan
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
- University Centre for Rural Health, Faculty of Medicine and Health, University of Sydney, Lismore, NSW, Australia
- Healthy Environments and Lives (HEAL) National Research Network, Australian National University, Canberra, ACT, Australia
- Centre for Air Pollution, Energy and Health Research (CAR), Glebe, NSW, Australia
| | - Katrin Meissner
- Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia
- Australian Research Council Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
| | - John Kaldor
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Donna Green
- Climate Change Research Centre, University of New South Wales, Sydney, NSW, Australia
- Australian Research Council Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
| | - Edward Jegasothy
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
- University Centre for Rural Health, Faculty of Medicine and Health, University of Sydney, Lismore, NSW, Australia
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13
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Liu K, Kouis P, Nikolopoulos G, Kyprianou T, Nikolaidis K, Scoutellas V, Filippos T, Koutrakis P, Yiallouros P, Papatheodorou S. Ambient climatic factors and term birthweight: A study of critical windows of exposure in the Republic of Cyprus. ENVIRONMENTAL RESEARCH 2023; 237:116885. [PMID: 37607623 PMCID: PMC10592069 DOI: 10.1016/j.envres.2023.116885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/18/2023] [Accepted: 08/12/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Reduced birthweight is associated with adverse perinatal and long-term outcomes. A few studies examined the association between climatic factors and birthweight with inconsistent results probably due to differences in exposure assessment, statistical models, climatic parameters, and study populations. METHODS We obtained data from the Republic of Cyprus birth registry from 2007 to 2020, and matched climatic exposures (i.e., temperature, relative humidity, temperature variability, humidity variability) by the hospital district at birth. We used distributed lag models to examine the association between term birthweight, temperature, humidity, and their variability to identify critical windows. Our models were adjusted for coarse particulate matter level (≤10 μm [PM10), and individual-level covariates. Subgroup analysis was conducted to examine effect modification by maternal age and education. RESULTS We identified two critical windows of exposure to ambient temperature at early and late pregnancy. The cumulative change of birthweight per 5 °C increases in mean weekly temperature was -57.27 (2%) (95% Confidence Interval [CI]: 99.62 (3.1%), -14.92 (0.5%)) and -79.2 (2.5%) (95%CI: 117.03 (3.5%), -41.52 (1.3%)) grams during weeks 1-8 and weeks 28-37, respectively. There was no significant effect of humidity, temperature variability, or humidity variability on birthweight. Based on subgroup analysis, mothers with post-secondary education were more sensitive to temperature, but the marginal significance of differences in effect estimates may be linked with differences in sample size. CONCLUSION Our study suggests that higher ambient temperature exposure during early and late pregnancy is associated with lower birthweight in main and subgroup analysis. The findings demonstrate in a country highly impacted by climate change like Cyprus that rising temperatures may be associated with perinatal outcomes in susceptible populations during sensitive windows of exposure.
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Affiliation(s)
- Kuangyliu Liu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, USA.
| | - Panayiotis Kouis
- Respiratory Physiology Laboratory, Medical School, University of Cyprus, Cyprus.
| | | | | | - Kleanthis Nikolaidis
- Department of Meteorology, Cyprus Ministry of Agriculture, Rural Development and Environment, Cyprus
| | | | - Tymvios Filippos
- Department of Meteorology, Cyprus Ministry of Agriculture, Rural Development and Environment, Cyprus.
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, USA
| | | | - Stefania Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, USA.
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14
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Jiang W, Wang C, Zhang Q, Zeng X, Kan H, Zhang J. Residential greenspace counteracts PM 2.5 on the risks of preterm birth subtypes: A multicenter study. CHEMOSPHERE 2023; 340:139917. [PMID: 37611762 DOI: 10.1016/j.chemosphere.2023.139917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/16/2023] [Accepted: 08/19/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND The association between residential greenspace and preterm birth (PTB) risk remained inconclusive. The PTB subtypes have been ignored and the effect of co-exposure of PM2.5 on PTB risk is still unclear. OBJECTIVE To investigate the independent, interactive, and mixed effects of residential greenspace and PM2.5 on the risk of PTB subtypes. METHODS A total of 19,900 singleton births from 20 hospitals in Shanghai, China, from 2015 to 2017 were included. The Normalized Difference Vegetation Index (NDVI) within 500 m and 1000 m buffers of the maternal residence and a combined geoscience-statistical model-derived PM2.5 and its six components were used as the exposure measures. PTB (<37 completed weeks of gestation) were divided into early PTB (24-33 weeks) vs. late PTB (34-36 weeks) and into spontaneous PTB (sPTB), preterm premature rupture of the fetal membranes (PPROM), and iatrogenic PTB. Multivariable logistic regression models were applied to assess the independent and interactive effects of NDVI and PM2.5 on PTB in each trimester. The quantile g-computation approach was employed to explore the mixture effect of PM2.5 components and greenspace across the pregnancy and to determine the main contributors. RESULTS Levels of PM2.5 and greenspace were associated with increased [aOR (95%CI) ranging from 1.18 (1.07, 1.30) to 3.36 (2.45, 4.64)] and decreased risks [aORs (95%CI) ranging from 0.64 (0.53, 0.78) to 0.86 (0.73, 0.99)] of PTB subtypes, respectively. At the same PM2.5 level, higher residential greenspace was associated with lower risks, and vice versa. All these associations were more pronounced in late pregnancy. Early PTB and PPROM were the main affected subtypes, and the main drivers in PM2.5 were black carbon and ammonium. CONCLUSIONS Residential greenspace may mitigate the PTB risks due to PM2.5 exposure during pregnancy.
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Affiliation(s)
- Wen Jiang
- 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
| | - Cuiping Wang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Qingli 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, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xiaojing Zeng
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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15
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Mehta M, Basu R, Ghosh R. Adverse effects of temperature on perinatal and pregnancy outcomes: methodological challenges and knowledge gaps. Front Public Health 2023; 11:1185836. [PMID: 38026314 PMCID: PMC10646498 DOI: 10.3389/fpubh.2023.1185836] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 09/19/2023] [Indexed: 12/01/2023] Open
Abstract
Evidence linking temperature with adverse perinatal and pregnancy outcomes is emerging. We searched for literature published until 30 January 2023 in PubMed, Web of Science, and reference lists of articles focusing on the outcomes that were most studied like preterm birth, low birth weight, stillbirth, and hypertensive disorders of pregnancy. A review of the literature reveals important gaps in knowledge and several methodological challenges. One important gap is the lack of knowledge of how core body temperature modulates under extreme ambient temperature exposure during pregnancy. We do not know the magnitude of non-modulation of body temperature during pregnancy that is clinically significant, i.e., when the body starts triggering physiologic counterbalances. Furthermore, few studies are conducted in places where extreme temperature conditions are more frequently encountered, such as in South Asia and sub-Saharan Africa. Little is also known about specific cost-effective interventions that can be implemented in vulnerable communities to reduce adverse outcomes. As the threat of global warming looms large, effective interventions are critically necessary to mitigate its effects.
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Affiliation(s)
- Maitry Mehta
- Sawyer Business School, Suffolk University, Boston, MA, United States
| | - Rupa Basu
- California Environmental Protection Agency, Office of Environmental Health Hazard Assessment, Oakland, CA, United States
| | - Rakesh Ghosh
- Sawyer Business School, Suffolk University, Boston, MA, United States
- Institute for Health and Aging, University of California, San Francisco, San Francisco, CA, United States
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Yu G, Yang L, Liu M, Wang C, Shen X, Fan L, Zhang J. Extreme Temperature Exposure and Risks of Preterm Birth Subtypes Based on a Nationwide Survey in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:87009. [PMID: 37585350 PMCID: PMC10431497 DOI: 10.1289/ehp10831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 07/15/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND Previous studies have reported that ambient temperature may affect perinatal outcomes. However, whether extreme temperature affects the risk of preterm birth (PTB) remains controversial. Studies on the associations of extreme temperature with PTB subtypes are lacking. OBJECTIVES We aimed to investigate the associations of extreme climate events with the risks of PTB and its subtypes, discerning possible modifiers. METHODS Data on all singleton deliveries were obtained from the China Labor and Delivery Survey (CLDS), a nationwide investigation implemented in 2015 and 2016. PTB was defined as gestational weeks < 37 and then categorized as early (24-34 wk) and late PTBs (35-36 wk), and clinical subtypes [spontaneous PTB, preterm premature rupture of the fetal membranes (PPROM), iatrogenic PTB]. Ambient temperature data were provided by the China National Weather Data Sharing System. Five heat indexes and five cold indexes were used to define heat waves and cold spells. Generalized linear mixed models with a random term by hospital unit were used to assess the associations of short-term prenatal extreme temperature exposure. The Cox proportional hazard regression model was applied to assess the nonlinear associations of low- or high-temperature exposure at the whole and different trimesters of pregnancy with the risk of PTB. Stratified analyses were conducted to assess the possible modification by geographic region and fetal sex. RESULTS A total of 70,818 singleton births from 96 hospitals in China were included, among which 4,965 (7.01%) were PTBs. Exposure to extreme cold events 1 wk before delivery was associated with an increased PTB risk, with an adjusted odds ratio (aOR) [95% confidence intervals (CIs)] of 1.07 (95% CI: 1.04, 1.10) and 1.06 (1.04, 1.09) for the total days when the daily average temperature below the fifth percentile (fifth-days) and the 10th percentile (10th-days), 1.18 (1.04, 1.34) for the cold spells when the daily average temperature below the fifth percentile for two consecutive days (fifth-2D), 1.09 (1.03, 1.16) and 1.12 (1.06, 1.19) for the cold spells when the daily average temperature below the 10th percentile for three and two consecutive days (10th-3D and 10th-2D), respectively. Results of extreme temperature exposure during 2 weeks before delivery showed similarly significant associations. The association between cold spells and PTB tended to be stronger for late PTB than for early PTB. Cold spells were mainly associated with spontaneous PTB and late PPROM. A stratified analysis indicated that pregnant women in western and northern regions tended to be more sensitive to cold spells, and pregnant women with a female fetus appeared to be at a higher risk of PTB when exposed to cold spells. Pregnant women in late pregnancy were more susceptible to extreme temperatures. No significant or stable association was found between heat waves and preterm birth. DISCUSSION Exposure to cold spells was associated with an increased risk of PTB, especially late, spontaneous PTB and PPROM. The associations appeared to be more pronounced in the north and west regions and in pregnancies with female fetuses. https://doi.org/10.1289/EHP10831.
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Affiliation(s)
- Guoqi Yu
- Ministry of Education – Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Yang
- Hainan Women and Children’s Medical Center, Hainan, China
| | - Ming Liu
- Department of Obstetrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Cuiping Wang
- Ministry of Education – Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoli Shen
- Shanghai Jiao Tong University School of Public Health, Shanghai, China
| | - Lichun Fan
- Hainan Women and Children’s Medical Center, Hainan, China
| | - Jun Zhang
- Ministry of Education – Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Jiao Tong University School of Public Health, Shanghai, China
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17
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Ren M, Zhang C, Di J, Chen H, Huang A, Ji JS, Liang W, Huang C. Exploration of the preterm birth risk-related heat event thresholds for pregnant women: a population-based cohort study in China. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 37:100785. [PMID: 37693883 PMCID: PMC10485674 DOI: 10.1016/j.lanwpc.2023.100785] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 04/16/2023] [Accepted: 04/19/2023] [Indexed: 09/12/2023]
Abstract
Background Heat events increase the risk of preterm birth (PTB), and identifying the risk-related event thresholds contributes to developing early warning system for pregnant women and guiding their public health response. However, the event thresholds that cause the risk remain unclear. We aimed to investigate the effects of heat events defined with different intensities and durations on PTB throughout pregnancy, and to determine thresholds for the high-risk heat events. Methods Using a population-based birth cohort data, we included 210,798 singleton live births in eight provinces in China during 2014-2018. Daily meteorological variables and inverse distance weighted methods were used to estimate exposures at a resolution of 1 km × 1 km. A series of cut off temperature intensities (50th-97.5th percentiles, or 18 °C-35 °C) and durations (at least 1, 2, 3, 4 or 5 consecutive days) were used to define the heat events. Cox regression models were used to estimate the effects of heat events on PTB in various gestational weeks during the entire pregnancy, and event thresholds were determined by calculating population attributable fractions. Findings The hazard ratios of heat event exposure on PTB ranged from 1.07 (95% CI: 1.00, 1.13) to 1.43 (1.15, 1.77). Adverse effects of heat event exposure were prominently detected in gestational week 1-4, week 21-32 and the four weeks before delivery. The heat event thresholds were determined to be daily maximum temperature at the 90th percentile of the distribution or 30 °C lasting for at least one day. If pregnant women were able to avoid the heat exposures from the early warning systems triggered by these thresholds, approximately 15% or 17% of the number of total PTB cases could have been avoided. Interpretation Exposure to heat event can increase the risk of PTB when thermal event exceeds a specific intensity and duration threshold, particularly in the first four gestational weeks, and between week 21 and the last four weeks. This study provides compelling evidence for the development of heat-health early warning systems for pregnant women that could substantially mitigate the risk of PTB. Funding National Key R&D Program of China (No. 2018YFA0606200), National Natural Science Foundation of China (No. 42175183), Sanming Project of Medicine in Shenzhen (No. SZSM202111001).
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Affiliation(s)
- Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Chunying Zhang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangli Di
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huiqi Chen
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Aiqun Huang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute of Healthy China, Tsinghua University, Beijing, China
| | - Cunrui Huang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute of Healthy China, Tsinghua University, Beijing, China
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Guo Y, Chen P, Xie Y, Wang Y, Mu Y, Zhou R, Niu Y, Shi X, Zhu J, Liang J, Liu Q. Association of Daytime-Only, Nighttime-Only, and Compound Heat Waves With Preterm Birth by Urban-Rural Area and Regional Socioeconomic Status in China. JAMA Netw Open 2023; 6:e2326987. [PMID: 37566422 PMCID: PMC10422195 DOI: 10.1001/jamanetworkopen.2023.26987] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 06/22/2023] [Indexed: 08/12/2023] Open
Abstract
Importance Associations between heat waves and preterm birth (PTB) have been reported. However, associations of daytime-only, nighttime-only, and compound heat waves with PTB have yet to be explored at a national level. Furthermore, possible heterogeneity across urban-rural communities with different socioeconomic statuses needs to be explored. Objective To examine the association between daytime-only, nighttime-only, and compound heat waves and PTB in China and to find variations between urban and rural regions. Design, Setting, and Participants This case-crossover study used nationwide representative birth data between January 1, 2012, and December 31, 2019, from China's National Maternal Near Miss Surveillance System. This multisite study covered 30 provinces in China and ensured the representation of urban and rural populations across 3 socioeconomic regions. Singleton live births delivered in the warm seasons from April to October during the study period were included. Exclusion criteria consisted of gestational age younger than 20 or older than 45 weeks, maternal ages younger than 13 or older than 50 years, conception dates earlier than 20 weeks before January 1, 2012, and later than 45 weeks before December 31, 2019, and an inconsistent combination of birthweight and gestational age according to growth standard curves of Chinese newborns. Data were analyzed from September 10, 2021, to April 25, 2023. Exposures Eighteen definitions of heat waves by 3 distinct types, including daytime only (only daily maximum temperature exceeds thresholds), nighttime only (only daily minimum temperature exceeds thresholds), and compound (both daily maximum and minimum temperature exceeds thresholds) heat waves, and 6 indexes, including 75th percentile of daily temperature thresholds for 2 or more (75th-D2), 3 or more (75th-D3), or 4 or more (75th-D4) consecutive days and 90th percentile of daily temperature thresholds for 2 or more (90th-D2), 3 or more (90th-D3), and 4 or more (90th-D4) consecutive days. Main Outcomes and Measures Preterm births with less than 37 completed weeks of gestation. Results Among the 5 446 088 singleton births in the final analytic sample (maternal mean [SD] age, 28.8 [4.8] years), 310 384 were PTBs (maternal mean [SD] age, 29.5 [5.5] years). Compared with unexposed women, exposure of pregnant women to compound heat waves in the last week before delivery was associated with higher risk for PTB, with the adjusted odds ratios (AORs) ranging from 1.02 (95% CI, 1.00-1.03) to 1.04 (95% CI, 1.01-1.07) in 6 indexes. For daytime-only heat wave exposures, AORs ranged from 1.03 (95% CI, 1.01-1.05) to 1.04 (95% CI, 1.01-1.08) in the 75th-D4, 90th-D2, 90th-D3, and 90th-D4 indexes. Such associations varied by rural (AOR range, 1.05 [95% CI, 1.01-1.09] to 1.09 [95% CI, 1.04-1.14]) and urban (AOR range, 1.00 [95% CI, 0.98-1.02] to 1.01 [95% CI, 0.99-1.04]) regions during exposure to daytime-only heat waves in the 75th-D3 and 90th-D3 indexes. Conclusions and Relevance In this case-crossover study, exposure to compound and daytime-only heat waves in the last week before delivery were associated with PTB, particularly for pregnant women in rural regions exposed to daytime-only heat waves. These findings suggest that tailored urban-rural preventive measures may improve maternal health in the context of climate change.
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Affiliation(s)
- Yafei Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Chinese Center for Disease Control and Prevention Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peiran Chen
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yanxia Xie
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Yi Mu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Ruobing Zhou
- Department of Health, Ethics and Society, Maastricht University, Maastricht, the Netherlands
| | - Yanlin Niu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Institute for Nutrition and Food Hygiene, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xiaoming Shi
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Juan Liang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Zhou L, Wang Y, Wang Q, Ding Z, Jin H, Zhang T, Zhu B. The interactive effects of extreme temperatures and PM 2.5 pollution on mortalities in Jiangsu Province, China. Sci Rep 2023; 13:9479. [PMID: 37301905 PMCID: PMC10257702 DOI: 10.1038/s41598-023-36635-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023] Open
Abstract
Exposure to extreme temperatures or fine particles is associated with adverse health outcomes but their interactive effects remain unclear. We aimed to explore the interactions of extreme temperatures and PM2.5 pollution on mortalities. Based on the daily mortality data collected during 2015-2019 in Jiangsu Province, China, we conducted generalized linear models with distributed lag non-linear model to estimate the regional-level effects of cold/hot extremes and PM2.5 pollution. The relative excess risk due to interaction (RERI) was evaluated to represent the interaction. The relative risks (RRs) and cumulative relative risks (CRRs) of total and cause-specific mortalities associated with hot extremes were significantly stronger (p < 0.05) than those related to cold extremes across Jiangsu. We identified significantly higher interactions between hot extremes and PM2.5 pollution, with the RERI range of 0.00-1.15. The interactions peaked on ischaemic heart disease (RERI = 1.13 [95%CI: 0.85, 1.41]) in middle Jiangsu. For respiratory mortality, RERIs were higher in females and the less educated. The interaction pattern remained consistent when defining the extremes/pollution with different thresholds. This study provides a comprehensive picture of the interactions between extreme temperatures and PM2.5 pollution on total and cause-specific mortalities. The projected interactions call for public health actions to face the twin challenges, especially the co-appearance of hot extremes and PM pollution.
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Affiliation(s)
- Lian Zhou
- Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, China
| | - Yuning Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjia Bridge, Gulou District, Nanjing, 210009, China.
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.
| | - Qingqing Wang
- Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, China
| | - Zhen Ding
- Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjia Bridge, Gulou District, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
- Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA, 22030, USA.
| | - Baoli Zhu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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20
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Baharav Y, Nichols L, Wahal A, Gow O, Shickman K, Edwards M, Huffling K. The Impact of Extreme Heat Exposure on Pregnant People and Neonates: A State of the Science Review. J Midwifery Womens Health 2023; 68:324-332. [PMID: 37218676 DOI: 10.1111/jmwh.13502] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/10/2023] [Accepted: 04/10/2023] [Indexed: 05/24/2023]
Abstract
The relationship between heat exposure and perinatal morbidity and mortality is of increasing concern as global temperatures rise and extreme heat events become more frequent and intense. Heat exposure can lead to a multitude of harmful outcomes for pregnant individuals and neonates, including hospitalization and death. This state of the science review explored the evidence on the associations between heat exposure and negative health outcomes during pregnancy and the neonatal period. Findings suggest that improving health care provider and patient awareness of heat-related risks and implementing specific interventions could mitigate adverse outcomes. Furthermore, public health and other policy interventions are needed to increase thermal comfort and reduce societal exposure to extreme heat and related risks. Early warning systems, medical alerts, provider and patient education, and increased access to health care and thermal comfort may improve pregnancy and early life health outcomes.
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Affiliation(s)
- Yuval Baharav
- Adrienne Arsht-Rockefeller Foundation Resilience Center, Atlantic Council, Washington, District of Columbia
| | - Lilly Nichols
- Adrienne Arsht-Rockefeller Foundation Resilience Center, Atlantic Council, Washington, District of Columbia
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Anya Wahal
- Adrienne Arsht-Rockefeller Foundation Resilience Center, Atlantic Council, Washington, District of Columbia
| | - Owen Gow
- Adrienne Arsht-Rockefeller Foundation Resilience Center, Atlantic Council, Washington, District of Columbia
| | - Kurt Shickman
- Adrienne Arsht-Rockefeller Foundation Resilience Center, Atlantic Council, Washington, District of Columbia
| | - Maya Edwards
- Adrienne Arsht-Rockefeller Foundation Resilience Center, Atlantic Council, Washington, District of Columbia
| | - Katie Huffling
- Alliance of Nurses for Healthy Environments, Mount Rainier, Maryland
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21
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Zhang X, Zhang F, Gao Y, Zhong Y, Zhang Y, Zhao G, Zhu S, Zhang X, Li T, Chen B, Han A, Wei J, Zhu W, Li D. Synergic effects of PM 1 and thermal inversion on the incidence of small for gestational age infants: a weekly-based assessment. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023:10.1038/s41370-023-00542-0. [PMID: 37019981 DOI: 10.1038/s41370-023-00542-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The synergic effects of thermal inversion (TI) and particulate matter with an aerodynamic diameter ≤1 μm (PM1) exposure and incidence of small for gestational age (SGA) was not clear. OBJECTIVE We aimed to explore the independent effects of prenatal TI and PM1 exposure on incidence of SGA and their potential interactive effects. METHODS A total of 27,990 pregnant women who delivered in Wuhan Children's Hospital from 2017 to 2020 were included. The daily mean concentration of PM1 was obtained from ChinaHighAirPollutants (CHAP) and matched with the residential address of each woman. Data on TI was derived from National Aeronautics and Space Administration (NASA). The independent effects of PM1 and TI exposures on SGA in each gestational week were estimated by the distributed lag model (DLM) nested in Cox regression model, and the potential interactive effects of PM1 and TI on SGA were investigated by adapting the relative excess risk due to interaction (RERI) index. RESULTS Per 10 μg/m3 increase in PM1 was associated with an increase in the risk of SGA at 1-3 and 17-23 gestational weeks, with the strongest effect at the first gestational week (HR = 1.043, 95%CI: 1.008, 1.078). Significant links between one day increase of TI and SGA were found at the 1-4 and 13-23 gestational weeks and the largest effects were observed at the 17th gestational week (HR = 1.018, 95%CI: 1.009, 1.027). Synergistic effects of PM1 and TI on SGA were detected in the 20th gestational week, with RERI of 0.208 (95%CI: 0.033,0.383). IMPACT STATEMENT Both prebirth PM1 and TI exposure were significantly associated with SGA. Simultaneous exposure to PM1 and TI might have synergistic effect on SGA. The second trimester seems to be a sensitive window of environmental and air pollution exposure.
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Affiliation(s)
- Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Yan Gao
- Department of Neonatology, Lianyungang Maternal and Child Health Hospital, Lianyungang, 222006, China
| | - Yuanyuan Zhong
- Department of Obstetrics and Gynecology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Yan Zhang
- Department of Obstetrics and Gynecology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Bingbing Chen
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Aojing Han
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA.
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| | - Dejia Li
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
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22
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Zhou W, Wang Q, Li R, Kadier A, Wang W, Zhou F, Ling L. Combined effects of heatwaves and air pollution, green space and blue space on the incidence of hypertension: A national cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161560. [PMID: 36640878 DOI: 10.1016/j.scitotenv.2023.161560] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/03/2023] [Accepted: 01/08/2023] [Indexed: 06/17/2023]
Abstract
Extreme heat exposure has been associated with hypertension. However, its interactive influences with air pollution, green and blue spaces are unclear. This study aimed to explore the interaction between heatwaves, air pollution, green and blue spaces on hypertension. Cohort data enrolled 6448 Chinese older adults aged 65 years and over were derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) between 2008 and 2018. Nine heatwave definitions, combining three heat thresholds (92.5th, 95th, and 97.5th percentiles of daily maximum temperature) and three durations (≥2, 3 and 4 days) were used as time-varying variables in the analysis and were the one-year exposure before survival events. Fine particulate matter (PM ≤2.5 μm in aerodynamic diameter (PM2.5)), the Normalized Difference Vegetation Index (NDVI) and the average proportion of open water bodies were used to reflect the air pollution, green and blue space exposures, respectively. PM2.5, green and blue space exposures were time-varying indicators and contemporaneous with heatwaves. Mixed Cox models with time-varying variables were fitted to assess the multiplicative and additive interaction of heatwaves, PM2.5, and green and blue spaces on hypertension, measured by a traditional product term with the ratio of hazard ratio (HR) and relative risk due to interaction (RERI), respectively. A positive multiplicative (HRs >1) and additive interaction (RERIs >0) between heatwaves and higher PM2.5 levels was observed. There was a synergistic effect between heatwaves and decreasing greenness levels on hypertension incidence on additive and multiplicative scales. No significant interaction between heatwaves and blue space was observed in the analysis. The combined effects of heatwaves, air pollution, green and blue space exposures on the risk of hypertension varied with age, gender, and educational attainment. This study's findings complemented the existing evidence and revealed synergistic harmful impacts for heatwaves with air pollution and lack of green space on hypertension incidence.
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Affiliation(s)
- Wensu Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qiong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Rui Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Aimulaguli Kadier
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenjuan Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fenfen Zhou
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China; Clinical research design division, Clinical research center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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23
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Chen X, Chen S, Zhu Z, Luo J, Wang H, Wulayin M, Huang C, Zhao W, Wang Q. Identifying the critical windows and joint effects of temperature and PM 2.5 exposure on small for gestational age. ENVIRONMENT INTERNATIONAL 2023; 173:107832. [PMID: 36822007 DOI: 10.1016/j.envint.2023.107832] [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: 10/27/2022] [Revised: 02/06/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
The potential critical windows for extreme ambient temperature, air pollution exposure and small for gestational age (SGA) are still unclear, and no study has explored their joint effects on SGA. In a national multi-center prospective cohort, we included 179,761 pairs of mother-infant from 16 counties of 8 provinces in China during 2014-2018. Daily averaged temperature and PM2.5 concentration were matched to the maternal residential address to estimate personal exposure. Extreme temperature exposures were categorized by a series of percentile in each meteorological and geographic division for the entire pregnancy, each trimester and gestational week (GA-week). Generalized linear mixed models (GLMMs) and distributed lag nonlinear models (DLNMs) were used to estimate the whole pregnancy-, trimester-specific, and weekly-specific associations of extreme temperature and PM2.5 exposures with SGA. Combined effects were evaluated with the relative excess risk due to interaction (RERI) and proportion attributable to interaction (AP). We observed that by referring to temperature at the 41st - 50th percentile, heat (>90th percentile) exposure during 13th - 29th GA-weeks was associated with SGA; odds ratio (OR) and 95 % confidence intervals (CI) was 1.16 (1.06, 1.28). For cold (<=10th percentile), inverse associations were observed during the 1st - 8th GA-weeks. PM2.5 exposure during the 2nd - 5th and 19th - 27th GA-weeks was associated with SGA, with the strongest association in the 2nd GA-week (OR = 1.0017, 95 %CI: 1.0001, 1.0034, for a 10 μg/m3 increase). No interactive effects between ambient temperature and PM2.5 on SGA were observed. Our findings suggest the weekly susceptibility windows for heat and PM2.5 exposure were primarily the gestational weeks within the 2nd trimester, therefore, corresponding protective measures should be conveyed to pregnant women during routine prenatal visits to reduce exposures.
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Affiliation(s)
- Xin Chen
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Sidi Chen
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhenghong Zhu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiajun Luo
- Institute for Population and Precision Health, the University of Chicago, Chicago, USA
| | - Huailin Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | | | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Wei Zhao
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Huang Y, Wang Y, Zhang T, Wang P, Huang L, Guo Y. Exploring Health Effects under Specific Causes of Mortality Based on 90 Definitions of PM 2.5 and Cold Spell Combined Exposure in Shanghai, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:2423-2434. [PMID: 36724352 DOI: 10.1021/acs.est.2c06461] [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] [Indexed: 06/18/2023]
Abstract
In this study, a total of 90 definitions were set up based on six air pollution definitions, five cold spell definitions, and three combined exposure scenarios. The relative risks (RRs) on all-cause, circulatory, and respiratory mortality were explored by a model combining a distributed linear lag model with quasi-Poisson regression. The definition in which daily PM2.5 increases more than 75 μg/m3 for at least 2 days and the average temperature falls below the 10th percentile for at least 2 days produced the best model fit performance in all-cause mortality. The high peaks of the health effect were generally observed around the lag days 6-9. The cumulative relative risks (CRRs) were more significant in the simultaneous-exposure scenario and higher in respiratory mortality, where the highest CRR (12.15, 3.69-40.03) was observed in definition P1T5, in which daily PM2.5 increases more than 75 μg/m3, and the average temperature falls below the 2.5th percentile for at least two days. For relative risk due to interaction (RERI), we found positive additive interactions (RERI > 0) between PM2.5 pollution and cold spell, especially in respiratory mortality. Clarifying the definition of combined events can help policymakers to capture health risks and construct more effective risk warning systems.
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Affiliation(s)
- Yujia Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yiyi Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Peng Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public and Preventive Medicine, Monash University, Melbourne 3004, VIC, Australia
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Zhang H, Zhang X, Feng D, Gao Z, Gong Y, Zhang J, Song S, Yu Z, Huang C. Interaction effects of night-time temperature and PM 2.5 on preterm birth in Huai River Basin, China. ENVIRONMENT INTERNATIONAL 2023; 171:107729. [PMID: 36623379 DOI: 10.1016/j.envint.2023.107729] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/26/2022] [Accepted: 01/01/2023] [Indexed: 06/17/2023]
Abstract
Nocturnal temperature is observed increasing with global warming. However, evidence on night-time non-optimal temperature on the risk of preterm birth (PTB) is limited, and the potential interactions with air pollution on PTB has not been well clarified. We therefore conducted a population-based retrospective cohort study to evaluate the effect of night-time temperature extremes on the risk of PTB and its interaction with air pollution. Records of 196,780 singleton births from 4 counties in Huai River Basin (2013-2018) were obtained. Gridded data on night-time temperature were collected from a high-quality Chinese Air Quality Reanalysis dataset. We used a multivariate logistic regression to evaluate the effects of night-time heat and cold exposure on the risk of PTB as well as its subtypes. Potential interactions between night-time temperature extremes and fine particulate matter < 2.5 µm (PM2.5) were examined using the relative excess risk due to interaction (RERI). We found that the risk of PTB was positively associated with third trimester night-time extremely heat and cold exposure, with adjusted OR of 1.898 (95 %CI: 1.655-2.177) and 2.044 (95 %CI: 1.786-2.339). Similar effects were observed for PTB subtypes, moderately PTB (mPTB) and very PTB (vPTB). Synergistic effects (RERI greater than 0) of each trimester night-time temperature extremes exposure and PM2.5 on PTB were observed. We identified consistent positive interactions between night-time temperature extremes and PM2.5 on mPTB. No significant interaction of night-time temperature extremes and PM2.5 on vPTB was found. In conclusion, this large retrospective cohort study found that third trimester night-time heat and cold exposure significantly increased the risk of PTB and its subtypes. There is a synergistic effect between night-time temperature extremes and high PM2.5 levels on PTB and mPTB. In the context of climate warming, our results add new evidence to the current understanding of night-time non-optimal temperature exposure on PTB.
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Affiliation(s)
- Huanhuan Zhang
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China; School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Zhengzhou, China
| | - Demin Feng
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China
| | - Yuting Gong
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Shuaixing Song
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zengli Yu
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China; NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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The burden of heatwave-related preterm births and associated human capital losses in China. Nat Commun 2022; 13:7565. [PMID: 36513644 PMCID: PMC9747907 DOI: 10.1038/s41467-022-35008-8] [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: 03/30/2022] [Accepted: 11/15/2022] [Indexed: 12/15/2022] Open
Abstract
Frequent heatwaves under global warming can increase the risk of preterm birth (PTB), which in turn will affect physical health and human potential over the life course. However, what remains unknown is the extent to which anthropogenic climate change has contributed to such burdens. We combine health impact and economic assessment methods to comprehensively evaluate the entire heatwave-related PTB burden in dimensions of health, human capital and economic costs. Here, we show that during 2010-2020, an average of 13,262 (95%CI 6,962-18,802) PTBs occurred annually due to heatwave exposure in China. In simulated scenarios, 25.8% (95%CI 17.1%-34.5%) of heatwave-related PTBs per year on average can be attributed to anthropogenic climate change, which further result in substantial human capital losses, estimated at over $1 billion costs. Our findings will provide additional impetus for introducing more stringent climate mitigation policies and also call for more sufficient adaptations to reduce heatwave detriments to newborn.
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Wang X, Wang Y, Huang D, Shi S, Pei C, Wu Y, Shen Z, Wang F, Wang Z. Astragaloside IV regulates the ferroptosis signaling pathway via the Nrf2/SLC7A11/GPX4 axis to inhibit PM2.5-mediated lung injury in mice. Int Immunopharmacol 2022; 112:109186. [PMID: 36115280 DOI: 10.1016/j.intimp.2022.109186] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/31/2022] [Accepted: 08/18/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Exposure to PM2.5 will increase the risk of respiratory disease and increase the burden of social health care. Astragaloside Ⅳ (Ast-IV) is one of the main biologically active substances form Chinese herb Astragalus membranaceus, which owns various pharmacological effects. Ferroptosis is a novel form of cell death characterized by accumulation of iron-dependent lipid reactive oxygen species (ROS). It is not clear whether there are typical features of ferroptosis in PM2.5-induced lung injury. This study investigates whether PM2.5-induced lung injury in mice has a special form of ferroptosis and the specific protective mechanism of Ast-IV. SUBJECTS AND METHODS Forty-two male C57BL/6J mice were randomly divided into six groups (n = 7 per group): NS group (normal saline), Ast group (Ast-IV 100 mg/kg), PM2.5 group, Ast-L group (Ast-IV 50 mg/kg + PM2.5), Ast-H group (Ast-IV 100 mg/kg + PM2.5) and Era group (Ast-IV 100 mg/kg + erastin 20 mg/kg + PM2.5). Mice were pre-treated with Ast-IV intraperitoneally for three days. Then, PM2.5 (7.5 mg/kg) was given by non-invasive tracheal instillation to induce lung injury. The ferroptosis' agonist erastin was used to verify the mechanism of Ast-IV anti-ferroptosis. 12 h after PM2.5 stimulation, the mice were euthanized. Bronchoalveolar lavage fluid (BALF) and serum were collected for oxidative stress and cytokine determination. Lung tissues were collected for glutathione (GSH), tissue iron content, histology, immunofluorescence, transmission electron microscopy, and western blot analysis. RESULTS Ast-IV reduced the lung wet-dry ratio and the levels of interleukin 6 (IL-6), tumor necrosis factor-α (TNF-α) and interleukin 1β (IL-1β) in serum. Ast-IV could also improve the oxidative stress level in BALF, restore the GSH level in the lung tissue, and reduce the iron content in the lung tissue. Western blot outcomes revealed that Ast-IV regulated the ferroptosis signaling pathway via the Nrf2/SLC7A11/GPX4 axis to protect PM2.5-mediated lung injury. CONCLUSION The protective effect of Ast-IV on PM2.5-induced lung injury in mice might be related to the inhibition of ferroptosis in lung tissue. Anti-ferroptosis might be a new mechanism of Ast-IV on PM2.5-induced lung injury.
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Affiliation(s)
- Xiaoming Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Yilan Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Demei Huang
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Shihua Shi
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Caixia Pei
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Yongcan Wu
- College of Traditional Chinese Medicine, CQMU, No. 1, Medical School Road, Yuzhong District, Chongqing 400016, People's Republic of China.
| | - Zherui Shen
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Fei Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
| | - Zhenxing Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, People's Republic of China.
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Hough I, Rolland M, Guilbert A, Seyve E, Heude B, Slama R, Lyon-Caen S, Pin I, Chevrier C, Kloog I, Lepeule J. Early delivery following chronic and acute ambient temperature exposure: a comprehensive survival approach. Int J Epidemiol 2022:6765151. [DOI: 10.1093/ije/dyac190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/16/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Ambient temperature, particularly heat, is increasingly acknowledged as a trigger for preterm delivery but study designs have been limited and results mixed. We aimed to comprehensively evaluate the association between ambient temperature throughout pregnancy and preterm delivery.
Methods
We estimated daily temperature throughout pregnancy using a cutting-edge spatiotemporal model for 5347 live singleton births from three prospective cohorts in France, 2002–2018. We performed Cox regression (survival analysis) with distributed lags to evaluate time-varying associations with preterm birth simultaneously controlling for exposure during the first 26 weeks and last 30 days of pregnancy. We examined weekly mean, daytime, night-time and variability of temperature, and heatwaves accounting for adaptation to location and season.
Results
Preterm birth risk was higher following cold (5th vs 50th percentile of mean temperature) 7–9 weeks after conception [relative risk (RR): 1.3, 95% CI: 1.0–1.6 for 2°C vs 11.6°C] and 10–4 days before delivery (RR: 1.6, 95% CI: 1.1–2.1 for 1.2°C vs 12.1°C). Night-time heat (95th vs 50th percentile of minimum temperature; 15.7°C vs 7.4°C) increased risk when exposure occurred within 5 weeks of conception (RR: 2.0, 95% CI: 1.05–3.8) or 20–26 weeks after conception (RR: 2.9, 95% CI: 1.2–6.8). Overall and daytime heat (high mean and maximum temperature) showed consistent effects. We found no clear associations with temperature variability or heatwave indicators, suggesting they may be less relevant for preterm birth.
Conclusions
In a temperate climate, night-time heat and chronic and acute cold exposures were associated with increased risk of preterm birth. These results suggest night-time heat as a relevant indicator. In the context of rising temperatures and more frequent weather hazards, these results should inform public health policies to reduce the growing burden of preterm births.
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Affiliation(s)
- Ian Hough
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev , Be’er Sheva, Israel
| | - Matthieu Rolland
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Ariane Guilbert
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Emie Seyve
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS) , Paris, France
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS) , Paris, France
| | - Rémy Slama
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Sarah Lyon-Caen
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
| | - Isabelle Pin
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
- Department of Paediatric Pneumology, Grenoble Teaching Hospital , La Tronche, France
| | - Cécile Chevrier
- Université Rennes, INSERM, EHESP, IRSET (Research Institute for Environmental and Occupational Health) , Rennes, France
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev , Be’er Sheva, Israel
| | - Johanna Lepeule
- Université Grenoble Alpes, INSERM, CNRS, Institute for Advanced Biosciences (IAB), Team of Environmental Epidemiology Applied to Development and Respiratory Health , La Tronche, France
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Gong Y, Sun P, Fu X, Jiang L, Yang M, Zhang J, Li Q, Chai J, He Y, Shi C, Wu J, Li Z, Yu F, Ba Y, Zhou G. The type of previous abortion modifies the association between air pollution and the risk of preterm birth. ENVIRONMENTAL RESEARCH 2022; 212:113166. [PMID: 35346659 DOI: 10.1016/j.envres.2022.113166] [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: 12/06/2021] [Revised: 02/05/2022] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Air pollution and previous abortion have been reported to be related to preterm birth (PTB). But rare study examined the effect of air pollution on PTB risk among mothers with previous abortion. OBJECTIVE To estimate the effect of air pollution on PTB and the potential effect modification of previous abortion on such an association in rural part of Henan province (China). METHOD Based on National Free Preconception Health Examination Project (NFPHEP), information from the medical records of 57,337 mothers with previous abortion were obtained. An inverse distance-weighted model was used to estimate exposure levels of air pollutants. The effect of air pollution on the risk of PTB was estimated with a multiple logistic regression model. Stratified and interaction analyses were undertaken to explore the potential effect modification of previous abortion on this association. RESULTS The risk of PTB was positively associated with exposure to levels of nitrogen dioxide (NO2; OR: 1.03; 95%CI: 1.02-1.04)], and sulfur dioxide (SO2; 1.04; 1.02-1.07), and negatively associated with ozone (O3) exposure (0.97; 0.97-0.98) during the entire pregnancy. Besides, we observed a positive effect of carbon monoxide (CO) exposure during the third trimester of pregnancy on PTB (1.14; 1.01-1.29). The type of previous abortion could modify the effect of air pollution on the PTB risk (P-interaction < 0.05). Compared with mothers with previous induced abortion, mothers with previous spontaneous abortion carried a higher risk of PTB induced by NO2, CO, and O3. CONCLUSIONS The risk of PTB was positively associated with levels of NO2, SO2 and CO, and negatively associated with the O3 level. The types of previous abortion could modify the effect of air pollution on PTB. Mothers who had an abortion previously, especially spontaneous abortion, should avoid exposure to air pollution to improve their pregnancy outcome.
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Affiliation(s)
- Yongxiang Gong
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Panpan Sun
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Xiaoli Fu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Meng Yang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Qinyang Li
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China
| | - Yanan He
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Chaofan Shi
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Jingjing Wu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Zhiyuan Li
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
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He Y, Zhang X, Gao J, Gao H, Cheng J, Xu Z, Pan R, Yi W, Song J, Liu X, Tang C, Song S, Su H. The impact of cold spells on schizophrenia admissions and the synergistic effect with the air quality index. ENVIRONMENTAL RESEARCH 2022; 212:113243. [PMID: 35398316 DOI: 10.1016/j.envres.2022.113243] [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: 10/15/2021] [Revised: 03/20/2022] [Accepted: 04/01/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Under current global climate conditions, there are insufficient studies on the health influences of cold spells, especially on mental health. This study aimed to examine the effect of cold spells on schizophrenia admissions and to analyze the potential interaction effect with the air quality index (AQI). METHODS Daily data on schizophrenia admissions and climatic variables in Hefei were collected from 2013 to 2019. Based on 20 definitions, the impacts of cold spells were quantified separately to find the most appropriate definition for the region, and meta-regression was used to explore the different effect sizes of the different days in a cold spell event. In addition, the potential interaction effect was tested by introducing a categorical variable, CSH, reflecting the cold spell and AQI level. RESULTS The cold spell defined by temperature below the 6th centile while lasting for at least three days produced the optimum model fit performance. In general, the risk of schizophrenia admissions increased on cold spell days. The largest single-day effect occurred on the 12th day with RR = 1.081 (95% CI: 1.044, 1.118). In a single cold spell event, the effect of the 3rd and subsequent days of a cold spell (RR = 1.082, 95% CI: 1.036, 1.130) was higher than that on the 2nd day (RR = 1.054, 95% CI: 1.024, 1.085). Similarly, the effect of the 2nd day was also higher than that of the 1st day (RR = 1.027, 95% CI: 1.012, 1.042). We found a synergistic effect between cold spells and high AQI in the male group, and the relative excess risk due to interaction (RERI) was 0.018 (95% CI: 0.005-0.030). CONCLUSIONS This study suggested that the impacts of cold spells should be considered based on the definition of the most appropriate for the region when formulating targeted measures of schizophrenia. The discovery of the synergistic effect was referred to help the selection of the timing of precautions for susceptible people.
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Affiliation(s)
- Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xulai Zhang
- Anhui Mental Health Center, Hefei, Anhui, China
| | - Jiaojiao Gao
- Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Hua Gao
- Anhui Mental Health Center, Hefei, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Shasha Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
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Yu Z, Zhang X, Zhang J, Feng Y, Zhang H, Wan Z, Xiao C, Zhang H, Wang Q, Huang C. Gestational exposure to ambient particulate matter and preterm birth: An updated systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 212:113381. [PMID: 35523275 DOI: 10.1016/j.envres.2022.113381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/17/2022] [Accepted: 04/26/2022] [Indexed: 06/14/2023]
Abstract
Previous studies on gestational particulate matter (PM) exposure and preterm birth (PTB) showed inconsistent results, and no study systematically examined the short-term effect of PM exposure on PTB subtypes. To investigate both long- and short-term effects of the evidence to date in general population, we searched for epidemiological studies on PM exposure and PTB that published in PubMed, Web of Science, Embase and Cochrane Library up to March 31, 2022. The protocol for this review was registered with PROSPERO (CRD42021265202). Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression and sensitivity analysis were performed. Of 16,801 records, 84 eligible studies were finally included. The meta-analysis of long-term effect showed that per 10 μg/m3 increase in PM2.5 and PM10 during entire pregnancy were associated with PTB, the pooled odds ratios (ORs) were 1.084 (95% CI: 1.055-1.113) and 1.034 (95% CI: 1.018-1.049). Positive associations were found between PM2.5 in second trimester and PTB subtypes. For the short-term exposure, we observed that PTB was positively associated with a 10 μg/m3 increment in PM2.5 on lag day 2 and 3, the pooled ORs and 95% CIs were 1.003 (1.001-1.004) and 1.003 (1.001-1.005), with I2 of 65.30% and 76.60%. PM10 exposure on ave day 1 increased the risk of PTB, the pooled OR was 1.001 (95% CI: 1.000, 1.001). We also found that PM10 exposure in 2 weeks prior to birth increased PTB risk. Our results support the hypothesis of both long- and short-term PM2.5 exposure increase the risk of PTB. Further well-designed longitudinal studies and investigations into potential biological mechanisms are warranted.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Han Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhongxiao Wan
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chenglong Xiao
- School of Earth Sciences, Chengdu University of Technology, Chengdu, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China; National Health Commission Key Laboratory of Birth Defects Prevention; Key Laboratory of Population Defects Prevention, Zhengzhou, China.
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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Wensu Z, Wenjuan W, Fenfen Z, Wen C, Li L. The effects of greenness exposure on hypertension incidence among Chinese oldest-old: a prospective cohort study. Environ Health 2022; 21:66. [PMID: 35820901 PMCID: PMC9277785 DOI: 10.1186/s12940-022-00876-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/27/2022] [Indexed: 06/13/2023]
Abstract
BACKGROUND Although the oldest-old (those aged over 80 years) are vulnerable to environmental factors and have the highest prevalence of hypertension, studies focusing on greenness exposure and the development of hypertension among them are insufficient. The aim of this study was to explore the association between residential greenness and hypertension in the oldest-old population. METHODS This cohort study included data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). The oldest-old were free of hypertension at baseline (2008), and hypertension events were assessed by follow-up surveys in 2011, 2014, and 2018. The one-year averages of the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) at 500-m buffer before the interview year of incident hypertension or last censoring interview were collected at the level of 652 residential units (district or county). The linear or nonlinear association between greenness and hypertension incidence was analyzed using the Cox proportional hazards model with penalized splines. The linear links between greenness and hypertension incidence were determined using the Cox proportional hazards model included a random effect term. RESULTS Among 5253 participants, the incidence rate of hypertension was 7.25 (95% confidence interval [CI]: 6.83-7.67) per 100 person-years. We found a nonlinear association between greenness exposure and hypertension risk, and the exposure-response curve showed that 1 change point existed. We examined the linear effect of greenness on hypertension by categorizing the NDVI/EVI into low and high-level exposure areas according to the change point. We found more notable protective effects of each 0.1-unit increase in greenness on hypertension incidence for participants living in the high-level greenness areas (hazard ratio (HR) = 0.60; 95% CI: 0.53-0.70 for NDVI; HR = 0.46; 95% CI: 0.37-0.57 for EVI). In contrast, no significant influence of greenness exposure on hypertension risk was found for participants living in the low-level greenness areas (HR = 0.77; 95% CI: 0.38-1.55 for NDVI; HR = 0.73; 95% CI: 0.33-1.63 for EVI). CONCLUSIONS Greenness exposure is nonlinearly associated with hypertension risk among the oldest-old, presenting its relationship in an inverse "U-shaped" curve. Greenness is a protective factor that decreases the risk of hypertension.
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Affiliation(s)
- Zhou Wensu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wang Wenjuan
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhou Fenfen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chen Wen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Ling Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Ren M, Wang Q, Zhao W, Ren Z, Zhang H, Jalaludin B, Benmarhnia T, Di J, Hu H, Wang Y, Ji JS, Liang W, Huang C. Effects of extreme temperature on the risk of preterm birth in China: A population-based multi-center cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 24:100496. [PMID: 35899090 PMCID: PMC9310344 DOI: 10.1016/j.lanwpc.2022.100496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Extreme temperatures are associated with the risk of preterm birth (PTB), but evidence on the effects of different clinical subtypes and across different regions is limited. We aimed to evaluate the effects of maternal exposure to extreme temperature on PTB and its clinical subtypes in China, and to identify effect modification of regional factors in dimensions of population, economy, medical resources and environmental factors. METHODS This was a prospective population-based cohort of 210,798 singleton live births from 16 counties in eight provinces across China during 2014-2018. We used an extended Cox regression with time-varying variables to evaluate the effects of extreme heat and cold on PTB and its subtypes in the entire pregnancy, each trimester, the last gestational month and week. Meta-analysis and meta-regression were conducted to estimate the pooled effects of each city and effect modification by regional characteristics. FINDINGS Exposure to heat and cold during the entire pregnancy significantly increased the risk of PTB. The effects varied with subtypes, for medically indicated and spontaneous PTB, hazard ratios were 1·84 (95% CI: 1·29, 2·61) and 1·50 (95% CI: 1·11, 2·02) for heat, 2·18 (95% CI: 1·83, 2·60) and 2·15 (95% CI: 1·92, 2·41) for cold. The associations were stronger for PTB less than 35 weeks than those during weeks 35-36. The effects varied across locations, and GDP per capita (β=-0·16) and hospital beds per 1000 persons (β=-0·25) were protective factors for the effects. INTERPRETATION Extreme temperature can increase the risk of medically indicated and spontaneous PTB, and higher regional socio-economic status may moderate such effects. In the context of climate change, such findings may have important implications for protecting the health of vulnerable groups, especially newborns. FUNDING National Key R&D Program of China (2018YFA0606200), National Natural Science Foundation of China (42175183), Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20030302), National Natural Science Foundation of China (42071377).
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Affiliation(s)
- Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
- Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wei Zhao
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhoupeng Ren
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Bin Jalaludin
- School of Population Health, University of New South Wales, Sydney, Australia
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Jiangli Di
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huanqing Hu
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ying Wang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - John S. Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Wannian Liang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute of Healthy China, Tsinghua University, Beijing, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute of Healthy China, Tsinghua University, Beijing, China
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Liu X, Behrman J, Hannum E, Wang F, Zhao Q. Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in South China. SOCIAL SCIENCE RESEARCH 2022; 105:102691. [PMID: 35659044 DOI: 10.1016/j.ssresearch.2021.102691] [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: 05/03/2021] [Revised: 10/24/2021] [Accepted: 12/18/2021] [Indexed: 06/15/2023]
Abstract
This paper investigates whether associations between birth weights and prenatal ambient environmental conditions-pollution and extreme temperatures-differ by 1) maternal education; 2) children's innate health; and 3) interactions between these two. We link birth records from Guangzhou, China, during a period of high pollution, to ambient air pollution (PM10 and a composite measure) and extreme temperature data. We first use mean regressions to test whether, overall, maternal education is an "effect modifier" in the relationships between ambient air pollution, extreme temperature, and birth weight. We then use conditional quantile regressions to test for effect heterogeneity according to the unobserved innate vulnerability of babies after conditioning on other confounders. Results show that 1) the negative association between ambient exposures and birth weight is twice as large at lower conditional quantiles of birth weights as at the median; 2) the protection associated with college-educated mothers with respect to pollution and extreme heat is heterogeneous and potentially substantial: between 0.02 and 0.34 standard deviations of birth weights, depending on the conditional quantiles; 3) this protection is amplified under more extreme ambient conditions and for infants with greater unobserved innate vulnerabilities.
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Affiliation(s)
- Xiaoying Liu
- Population Studies Center, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA, USA
| | - Jere Behrman
- Department of Economics and Sociology and Population Studies Center, University of Pennsylvania, 133 South 36th Street, Philadelphia, PA, USA
| | - Emily Hannum
- Department of Sociology and Population Studies Center, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA, USA.
| | - Fan Wang
- Department of Economics, University of Houston, 3623 Cullen Boulevard, Houston, TX, USA
| | - Qingguo Zhao
- Epidemiological Research Office of Key Laboratory of Male Reproduction and Genetics National Health and Family Planning Commission, Family Planning Research Institute of Guangdong Province, Guangzhou, Guangdong, China.
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Affiliation(s)
- Frederica Perera
- From the Department of Environmental Health Sciences and Columbia Center for Children's Environmental Health, Columbia University, New York (F.P.); and the Departments of Medicine, Pediatrics, Otolaryngology, and Epidemiology and Population Health, Stanford University, Stanford, CA (K.N.)
| | - Kari Nadeau
- From the Department of Environmental Health Sciences and Columbia Center for Children's Environmental Health, Columbia University, New York (F.P.); and the Departments of Medicine, Pediatrics, Otolaryngology, and Epidemiology and Population Health, Stanford University, Stanford, CA (K.N.)
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Li H, Li M, Zhang S, Qian ZM, Zhang Z, Zhang K, Wang C, Arnold LD, McMillin SE, Wu S, Tian F, Lin H. Interactive effects of cold spell and air pollution on outpatient visits for anxiety in three subtropical Chinese cities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 817:152789. [PMID: 34990686 PMCID: PMC8907861 DOI: 10.1016/j.scitotenv.2021.152789] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/13/2021] [Accepted: 12/26/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Although low temperature and air pollution exposures have been associated with the risk of anxiety, their combined effects remain unclear. OBJECTIVE To investigate the independent and interactive effects of low temperature and air pollution exposures on anxiety. METHOD Using a case-crossover study design, the authors collected data from 101,636 outpatient visits due to anxiety in three subtropical Chinese cities during the cold season (November to April in 2013 through 2018), and then built conditional logistic regression models based on individual exposure assessments [temperature, relative humidity, particulate matter (PM2.5, PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2)] and twelve cold spell definitions. Additive-scale interactions were assessed using the relative excess risk due to interaction (RERI). RESULTS Both cold spell and air pollution were significantly associated with outpatients for anxiety. The effects of cold spell increased with its intensity, ranging from 8.98% (95% CI: 2.02%, 16.41%) to 15.24% (95% CI: 6.75%, 24.39%) in Huizhou. Additionally, each 10 μg/m3 increase of PM2.5, PM10, NO2 and SO2 was associated with a 1.51% (95% CI: 0.61%, 2.43%), 1.58% (95% CI: 0.89%, 2.28%), 13.95% (9.98%, 18.05%) and 11.84% (95% CI: 8.25%, 15.55%) increase in outpatient visits for anxiety. Synergistic interactions (RERI >0) of cold spell with all four air pollutants on anxiety were observed, especially for more intense cold spells. For particulate matters, these interactions were found even under mild cold spell definitions [RERI: 0.11 (95% CI: 0.02, 0.21) for PM2.5, and 0.24 (95% CI: 0.14, 0.33) for PM10]. Stratified analyses yielded a pronounced results in people aged 18-65 years. CONCLUSIONS These findings indicate that both cold spell and air pollution are important drivers of the occurrence of anxiety, and simultaneous exposure to these two factors might have synergistic effects on anxiety. These findings highlight the importance of controlling air pollution and improving cold-warning systems.
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Affiliation(s)
- Huan Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Min Li
- Department of Preventive Medicine, The Third Affiliated Hospital of Guangzhou University of Chinese Medicine, The Third Clinical Medical Institute Affiliated to Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, USA
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, USA
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Lauren D Arnold
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Saint Louis, USA
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710000, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Chen L, Wang X, Qian ZM, Sun L, Qin L, Wang C, Howard SW, Aaron HE, Lin H. Ambient gaseous pollutants and emergency ambulance calls for all-cause and cause-specific diseases in China: a multicity time-series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28527-28537. [PMID: 34988821 DOI: 10.1007/s11356-021-18337-x] [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: 06/07/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Much attention has been paid to the health effects of ambient particulate matter pollution; the effects of gaseous air pollutants have not been well studied. Emergency ambulance calls (EACs) may provide a better indicator of the acute health effects than the widely used health indicators, such as mortality and hospital admission. We estimated the short-term associations between gaseous air pollutants [nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3)] and EACs for all-cause, cardiovascular, and respiratory diseases in seven Chinese cities from 2014 to 2019. We used generalized additive models and random-effects meta-analysis to examine the city-specific and pooled associations. Stratified analyses were conducted by age, sex, and season. A total of 1,626,017 EACs were observed for all-cause EACs, including 230,537 from cardiovascular diseases, and 96,483 from respiratory diseases. Statistically significant associations were observed between NO2 and EACs for all-cause diseases, while the effects of SO2 were positive, but not statistically significant in most models. No significant relationship was found between O3 and EACs. Specifically, each 10 μg/m3 increase in the 2-day moving average concentration of NO2 was associated with a 1.07% [95% confidence interval (CI): 0.40%, 1.76%], 0.76% (95% CI: 0.19%, 1.34%) and 0.06% (95% CI: -1.57%, 1.73%) increase in EACs due to all-cause, cardiovascular and respiratory diseases, respectively. Stratified analysis showed a larger effect of NO2 on all-cause EACs in the cold season [excess relative risk (ERR): 0.33% (95% CI: 0.05%, 0.60%) for warm season, ERR: 0.77% (95% CI: 0.31%, 1.23%) for cold season]. Our study indicates that acute exposures to NO2 might be an important trigger of the emergent occurrence of all-cause, cardiovascular and respiratory diseases, and this effect should be of particular concern in the cold season. Further policy development for controlling gaseous air pollution is warranted to reduce the emergent occurrence of cardiopulmonary diseases.
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Affiliation(s)
- Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Liwen Sun
- Huairou District Center for Disease Control and Prevention, Beijing, 101400, China
| | - Lijie Qin
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Steven W Howard
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Remigio RV, He H, Raimann JG, Kotanko P, Maddux FW, Sapkota AR, Liang XZ, Puett R, He X, Sapkota A. Combined effects of air pollution and extreme heat events among ESKD patients within the Northeastern United States. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152481. [PMID: 34921874 PMCID: PMC8962569 DOI: 10.1016/j.scitotenv.2021.152481] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/03/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Increasing number of studies have linked air pollution exposure with renal function decline and disease. However, there is a lack of data on its impact among end-stage kidney disease (ESKD) patients and its potential modifying effect from extreme heat events (EHE). METHODS Fresenius Kidney Care records from 28 selected northeastern US counties were used to pool daily all-cause mortality (ACM) and all-cause hospital admissions (ACHA) counts. County-level daily ambient PM2.5 and ozone (O3) were estimated using a high-resolution spatiotemporal coupled climate-air quality model and matched to ESKD patients based on ZIP codes of treatment sites. We used time-stratified case-crossover analyses to characterize acute exposures using individual and cumulative lag exposures for up to 3 days (Lag 0-3) by using a distributed lag nonlinear model framework. We used a nested model comparison hypothesis test to evaluate for interaction effects between air pollutants and EHE and stratification analyses to estimate effect measures modified by EHE days. RESULTS From 2001 to 2016, the sample population consisted of 43,338 ESKD patients. We recorded 5217 deaths and 78,433 hospital admissions. A 10-unit increase in PM2.5 concentration was associated with a 5% increase in ACM (rate ratio [RRLag0-3]: 1.05, 95% CI: 1.00-1.10) and same-day O3 (RRLag0: 1.02, 95% CI: 1.01-1.03) after adjusting for extreme heat exposures. Mortality models suggest evidence of interaction and effect measure modification, though not always simultaneously. ACM risk increased up to 8% when daily ozone concentrations exceeded National Ambient Air Quality Standards established by the United States, but the increases in risk were considerably higher during EHE days across lag periods. CONCLUSION Our findings suggest interdependent effects of EHE and air pollution among ESKD patients for all-cause mortality risks. National level assessments are needed to consider the ESKD population as a sensitive population and inform treatment protocols during extreme heat and degraded pollution episodes.
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Affiliation(s)
- Richard V Remigio
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Hao He
- Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD, USA
| | | | - Peter Kotanko
- Research Division, Renal Research Institute, New York, NY, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Amy Rebecca Sapkota
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Xin-Zhong Liang
- Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD, USA; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Robin Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Xin He
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - Amir Sapkota
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA.
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Son JY, Choi HM, Miranda ML, Bell ML. Exposure to heat during pregnancy and preterm birth in North Carolina: Main effect and disparities by residential greenness, urbanicity, and socioeconomic status. ENVIRONMENTAL RESEARCH 2022; 204:112315. [PMID: 34742709 PMCID: PMC8671314 DOI: 10.1016/j.envres.2021.112315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 10/25/2021] [Accepted: 10/28/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Although previous literature suggested that several factors may be associated with higher risk of adverse health outcomes related to heat, research is limited for birth outcomes. OBJECTIVES We investigated associations between exposure to heat/heat waves during the last week of gestation and preterm birth (PTB) in North Carolina (NC) and evaluated effect modification by residential greenness, urbanicity, and socioeconomic status (SES). METHODS We obtained individual-level NC birth certificate data for May-September 2003-2014. We estimated daily mean temperature at each maternal residential address using Parameter-elevation Regressions on Independent Slopes Model (PRISM) data. We created 3 definitions of heat waves (daily temperature ≥95th, 97th, 99th percentile for NC warm season temperature, for ≥2 consecutive days). Normalized Difference Vegetation Index (NDVI) was used to assess residential greenness. Community-level modifiers (e.g., income, urbanicity) were considered. We applied Cox proportional hazard models to estimate the association between exposure to heat/heat waves and PTB, controlling for covariates. Stratified analyses were conducted to evaluate whether the association between heat and PTB varied by several individual and community characteristics. RESULTS Of the 546,441 births, 8% were preterm. Heat exposure during the last week before delivery was significantly associated with risk of PTB. The hazard ratio for a 1 °C increase in temperature during the last week before delivery was 1.01 (95% CI: 1.00, 1.02). Higher heat-PTB risk was associated with some characteristics (e.g., areas that were urbanized, low SES, or in the Coastal Plain). We also found significant PTB-heat risk in areas with low greenness for urbanized area. For heat waves, we did not find significantly positive associations with PTB. DISCUSSION Findings provide evidence that exposure to heat during pregnancy increases risk of PTB and suggest disparities in these risks. Our results have implications for future studies of disparity in heat and birth outcomes associations.
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Affiliation(s)
- Ji-Young Son
- School of the Environment, Yale University, New Haven, CT, USA.
| | | | - Marie Lynn Miranda
- Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, USA
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Syed S, O’Sullivan TL, Phillips KP. Extreme Heat and Pregnancy Outcomes: A Scoping Review of the Epidemiological Evidence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042412. [PMID: 35206601 PMCID: PMC8874707 DOI: 10.3390/ijerph19042412] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 12/04/2022]
Abstract
Background: Extreme heat caused by climate change is a major public health concern, disproportionately affecting poor and racialized communities. Gestational heat exposure is a well-established teratogen in animal studies, with a growing body of literature suggesting human pregnancies are similarly at risk. Characterization of extreme heat as a pregnancy risk is problematic due to nonstandard definitions of heat waves, and variable study designs. To better focus future research in this area, we conducted a scoping review to assess the effects of extreme heat on pregnancy outcomes. Methods: A scoping review of epidemiological studies investigating gestational heat-exposure and published 2010 and 2020, was conducted with an emphasis on study design, gestational windows of sensitivity, adverse pregnancy outcomes and characterization of environmental temperatures. Results: A sample of 84 studies was identified, predominantly set in high-income countries. Preterm birth, birthweight, congenital anomalies and stillbirth were the most common pregnancy outcome variables. Studies reported race/ethnicity and/or socioeconomic variables, however these were not always emphasized in the analysis. Conclusion: Use of precise temperature data by most studies avoided pitfalls of imprecise, regional definitions of heat waves, however inconsistent study design, and exposure windows are a significant challenge to systematic evaluation of this literature. Despite the high risk of extreme heat events and limited mitigation strategies in the global south, there is a significant gap in the epidemiological literature from these regions. Greater consistency in study design and exposure windows would enhance the rigor of this field.
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Dalugoda Y, Kuppa J, Phung H, Rutherford S, Phung D. Effect of Elevated Ambient Temperature on Maternal, Foetal, and Neonatal Outcomes: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031771. [PMID: 35162797 PMCID: PMC8835067 DOI: 10.3390/ijerph19031771] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 02/02/2022] [Accepted: 02/02/2022] [Indexed: 02/06/2023]
Abstract
This scoping review provides an overview of the published literature, identifies research gaps, and summarises the current evidence of the association between elevated ambient temperature exposure during pregnancy and adverse maternal, foetal, and neonatal outcomes. Following the PRISMA extension for scoping reviews reporting guidelines, a systematic search was conducted on CINAHL, PubMed, and Embase and included original articles published in the English language from 2015 to 2020 with no geographical limitations. A total of seventy-five studies were included, conducted across twenty-four countries, with a majority in the USA (n = 23) and China (n = 13). Study designs, temperature metrics, and exposure windows varied considerably across studies. Of the eighteen heat-associated adverse maternal, foetal, and neonatal outcomes identified, pre-term birth was the most common outcome (n = 30), followed by low birth weight (n = 11), stillbirth (n = 9), and gestational diabetes mellitus (n = 8). Overall, papers reported an increased risk with elevated temperature exposures. Less attention has been paid to relationships between heat and the diverse range of other adverse outcomes such as congenital anomalies and neonatal mortality. Further research on these less-reported outcomes is needed to improve understanding and the effect size of these relationships with elevated temperatures, which we know will be exacerbated by climate change.
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Affiliation(s)
- Yohani Dalugoda
- School of Medicine and Dentistry, Griffith University, Brisbane, QLD 4222, Australia; (J.K.); (H.P.); (S.R.)
- Correspondence:
| | - Jyothi Kuppa
- School of Medicine and Dentistry, Griffith University, Brisbane, QLD 4222, Australia; (J.K.); (H.P.); (S.R.)
| | - Hai Phung
- School of Medicine and Dentistry, Griffith University, Brisbane, QLD 4222, Australia; (J.K.); (H.P.); (S.R.)
| | - Shannon Rutherford
- School of Medicine and Dentistry, Griffith University, Brisbane, QLD 4222, Australia; (J.K.); (H.P.); (S.R.)
| | - Dung Phung
- School of Public Health, The University of Queensland, Brisbane, QLD 4006, Australia;
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Association of short-term exposure to air pollution with recurrent ischemic cerebrovascular events in older adults. Int J Hyg Environ Health 2022; 240:113925. [PMID: 35045384 DOI: 10.1016/j.ijheh.2022.113925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/09/2022] [Accepted: 01/11/2022] [Indexed: 11/22/2022]
Abstract
The acute effects of ambient air pollution on recurrence of ischemic cerebrovascular events (ICEs) remains largely unknown. We therefore conducted a time-stratified case-crossover study of 43,896 patients who were 60 years or older and were admitted to hospital for recurrent ICEs including ischemic stroke and transient ischemic attack in Guangzhou, China during 2016-2019. Based on each patient's home address and pollutant data from its neighboring air quality monitoring stations, we used an inverse distance weighting method to assess exposures to particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5), particulate matter with an aerodynamic diameter ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO) and ozone (O3). Conditional logistic regression models were used to quantify exposure-response associations. During the study period, there were 43,896 case days and 149,131 control days. In single-pollutant models, each 10 μg/m3 increase in exposure to PM10, NO2 and CO (mean exposure on date of admission and 1 day prior) was significantly associated with a 0.74% (95% confidence interval [CI]: 0.13-1.36%), 2.15% (1.38-2.93%) and 0.14% (0.07-0.21%) increase in odds of hospital admissions for recurrent ICEs, respectively, and no significant departures from linearity were detected. The association for NO2 exposure remained consistent in 2-pollutant models, while the associations for PM10 and CO disappeared or changed materially with adjustment for other pollutants. Stronger association for NO2 exposure was observed in cool season than that in warm season. We found that short-term exposure to ambient air pollutants, especially NO2, was associated with increased risk of hospital admissions for recurrent ICEs in older adults.
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Preterm Labor, a Syndrome Attributed to the Combination of External and Internal Factors. MATERNAL-FETAL MEDICINE 2022. [DOI: 10.1097/fm9.0000000000000136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Li H, Deng W, Small R, Schwartz J, Liu J, Shi L. Health effects of air pollutant mixtures on overall mortality among the elderly population using Bayesian kernel machine regression (BKMR). CHEMOSPHERE 2022; 286:131566. [PMID: 34293557 PMCID: PMC8578302 DOI: 10.1016/j.chemosphere.2021.131566] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 05/02/2021] [Accepted: 07/14/2021] [Indexed: 05/19/2023]
Abstract
It is well documented that fine particles matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) are associated with a range of adverse health outcomes. However, most epidemiologic studies have focused on understanding their additive effects, despite that individuals are exposed to multiple air pollutants simultaneously that are likely correlated with each other. Therefore, we applied a novel method - Bayesian Kernel machine regression (BKMR) and conducted a population-based cohort study to assess the individual and joint effect of air pollutant mixtures (PM2.5, O3, and NO2) on all-cause mortality among the Medicare population in 15 cities with 656 different ZIP codes in the southeastern US. The results suggest a strong association between pollutant mixture and all-cause mortality, mainly driven by PM2.5. The positive association of PM2.5 with mortality appears stronger at lower percentiles of other pollutants. An interquartile range change in PM2.5 concentration was associated with a significant increase in mortality of 1.7 (95% CI: 0.5, 2.9), 1.6 (95% CI: 0.4, 2.7) and 1.4 (95% CI: 0.1, 2.6) standard deviations (SD) when O3 and NO2 were set at the 25th, 50th, and 75th percentiles, respectively. BKMR analysis did not identify statistically significant interactions among PM2.5, O3, and NO2. However, since the small sub-population might weaken the study power, additional studies (in larger sample size and other regions in the US) are in need to reinforce the current finding.
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Affiliation(s)
- Haomin Li
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Wenying Deng
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Raphael Small
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jeremiah Liu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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Abstract
PURPOSE OF REVIEW Climate change remains a major threat to the health and well-being of children globally. This article reviews the myriad health effects of climate change on children throughout their lives and discusses ways in which the general pediatrician can be an advocate for climate solutions. RECENT FINDINGS Rising atmospheric temperatures, increased air pollution, and destabilized weather patterns all lead to adverse health outcomes for children and adverse obstetric outcomes. However, the impact of climate change is not evenly distributed. Children living in poverty are more likely to be adversely impacted by the changing climate. SUMMARY Ongoing and emerging research suggests that children are particularly vulnerable to the effects of climate change. The primary care pediatrician is encouraged to see this irrefutable evidence as a call to action for advocacy on behalf of our patients and the planet.
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Affiliation(s)
- Nicola Brodie
- Division of General and Community Pediatrics, Children's National Hospital, Washington, DC
| | - Elizabeth A Silberholz
- Division of General Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Tapia VL, Vasquez-Apestegui BV, Alcantara-Zapata D, Vu B, Steenland K, Gonzales GF. Association between maximum temperature and PM 2.5 with pregnancy outcomes in Lima, Peru. Environ Epidemiol 2021; 5:e179. [PMID: 34909559 PMCID: PMC8663809 DOI: 10.1097/ee9.0000000000000179] [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: 06/30/2021] [Accepted: 10/19/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND We have previously documented an inverse relationship between PM2.5 in Lima, Peru, and reproductive outcomes. Here, we investigate the effect of temperature on birth weight, birth weight-Z-score adjusted for gestational age, low birth weight, and preterm birth. We also explore interactions between PM2.5 and temperature. METHODS We studied 123,034 singleton births in three public hospitals of Lima with temperature and PM2.5 during gestation between 2012 and 2016. We used linear, logistic, and Cox regression to estimate associations between temperature during gestation and birth outcomes and explored possible modification of the temperature effect by PM2.5. RESULTS Exposure to maximum temperature in the last trimester was inversely associated with both birth weight [β: -23.7; 95% confidence interval [CI]: -28.0, -19.5] and z-score weight-for-gestational-age (β: -0.024; 95% CI: -0.029, -0.020) with an interquartile range of 5.32 °C. There was also an increased risk of preterm birth with higher temperature (interquartile range) in the first trimester (hazard ratio: 1.04; 95% CI: 1.001, 1.070). The effect of temperature on birthweight was primarily seen at higher PM2.5 levels. There were no statistically significant associations between temperature exposure with low birth weight. CONCLUSIONS Exposition to maximum temperature was associated with lower birth weight and z-score weight-for-gestational-age and higher risk of preterm birth, in accordance with much of the literature. The effects on birth weight were seen only in the third trimester.
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Affiliation(s)
- Vilma L Tapia
- Laboratorio de Endocrinología y Reproducción, LID, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Bertha Vanessa Vasquez-Apestegui
- Laboratorio de Endocrinología y Reproducción, LID, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Diana Alcantara-Zapata
- Laboratorio de Endocrinología y Reproducción, LID, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Bryan Vu
- Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Kyle Steenland
- Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Gustavo F Gonzales
- Laboratorio de Endocrinología y Reproducción, LID, Universidad Peruana Cayetano Heredia, Lima, Peru
- Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru
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Giudice LC, Llamas-Clark EF, DeNicola N, Pandipati S, Zlatnik MG, Decena DCD, Woodruff TJ, Conry JA. Climate change, women's health, and the role of obstetricians and gynecologists in leadership. Int J Gynaecol Obstet 2021; 155:345-356. [PMID: 34694628 PMCID: PMC9298078 DOI: 10.1002/ijgo.13958] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/16/2021] [Accepted: 09/28/2021] [Indexed: 11/07/2022]
Abstract
Climate change is one of the major global health threats to the world's population. It is brought on by global warming due in large part to increasing levels of greenhouse gases resulting from human activity, including burning fossil fuels (carbon dioxide), animal husbandry (methane from manure), industry emissions (ozone, nitrogen oxides, sulfur dioxide), vehicle/factory exhaust, and chlorofluorocarbon aerosols that trap extra heat in the earth's atmosphere. Resulting extremes of weather give rise to wildfires, air pollution, changes in ecology, and floods. These in turn result in displacement of populations, family disruption, violence, and major impacts on water quality and availability, food security, public health and economic infrastructures, and limited abilities for civil society to maintain citizen safety. Climate change also has direct impacts on human health and well-being. Particularly vulnerable populations are affected, including women, pregnant women, children, the disabled, and the elderly, who comprise the majority of the poor globally. Additionally, the effects of climate change disproportionally affect disadvantaged communities, including low income and communities of color, and lower-income countries that are at highest risk of adverse impacts when disasters occur due to inequitable distribution of resources and their socioeconomic status. The climate crisis is tilting the risk balance unfavorably for women's sexual and reproductive health and rights as well as newborn and child health. Obstetrician/gynecologists have the unique opportunity to raise awareness, educate, and advocate for mitigation strategies to reverse climate change affecting our patients and their families. This article puts climate change in the context of women's reproductive health as a public health issue, a social justice issue, a human rights issue, an economic issue, a political issue, and a gender issue that needs our attention now for the health and well-being of this and future generations. FIGO joins a broad coalition of international researchers and the medical community in stating that the current climate crisis presents an imminent health risk to pregnant people, developing fetuses, and reproductive health, and recognizing that we need society-wide solutions, government policies, and global cooperation to address and reduce contributors, including fossil fuel production, to climate change.
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Affiliation(s)
- Linda C Giudice
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Erlidia F Llamas-Clark
- Department of Obstetrics and Gynecology, Division of Ultrasound, University of the Philippines - Philippine General Hospital, Manila, Philippines
| | - Nathaniel DeNicola
- Department of Obstetrics and Gynecology, Johns Hopkins Health System, Washington, District of Columbia, USA
| | - Santosh Pandipati
- Obstetrix Medical Group/Mednax (Maternal-Fetal Medicine), Campbell, California, USA
| | - Marya G Zlatnik
- Department of Obstetrics, Gynecology and Reproductive Sciences, Division of Maternal Fetal Medicine, Program on Reproductive Health and the Environment, Environmental Research and Translation for Health (EaRTH) Center, University of California, San Francisco, San Francisco, California, USA
| | - Ditas Cristina D Decena
- Departments of Anatomy, Clinical Epidemiology and Public Health International, University of Santo Tomas, Manila, Philippines
| | - Tracey J Woodruff
- Program on Reproductive Health and the Environment, Environmental Research and Translation for Health (EaRTH) Center, University of California, San Francisco, San Francisco, California, USA
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Gong Y, Chai J, Yang M, Sun P, Sun R, Dong W, Li Q, Zhou D, Yu F, Wang Y, Yan X, Zhang J, Zhang Y, Jiang L, Ba Y, Zhou G. Effects of ambient temperature on the risk of preterm birth in offspring of adolescent mothers in rural henan, China. ENVIRONMENTAL RESEARCH 2021; 201:111545. [PMID: 34171374 DOI: 10.1016/j.envres.2021.111545] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/20/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND A number of studies have explored the association between ambient temperature and preterm birth (PTB), but rarely among adolescent mothers. OBJECTIVES To estimate the effects of ambient temperature on the risk of PTB and gestational age of newborns delivered by adolescent mothers in rural areas of Henan province. METHODS We obtained 5394 medical records of adolescent mothers with results of pre-pregnancy physical examination and pregnancy outcomes from the National Free Preconception Health Examination Project (NFPHEP) in Henan province. Meteorological information was obtained from the China Meteorological Data Sharing Service System. Individual exposure levels were evaluated with an inverse distance-weighted model. A multiple logistic regression model and multiple linear regression model were used to estimate the effects of ambient temperature on the risk of PTB and gestational age, respectively. Stratified and interaction analyses were also performed. RESULTS Of newborns in this study, 3.45% (186/5394) were PTB. Mean, maximum and minimum temperature during the entire pregnancy, especially the last 1-4 weeks of pregnancy, were positively associated with the risk of PTB and negatively associated with gestational age (P < 0.05). Nevertheless, a masking effect was observed that gestational age was positively associated with ambient temperature during the first trimester of pregnancy, due to the strongly inverse correlation between ambient temperature during the early and late stages of pregnancy. Stratified analyses showed that increasing temperature during the last 1-4 weeks of pregnancy increased the risk of PTB and decreased gestational age in newborns born in the cold season (P < 0.05). Furthermore, interaction analyses showed that birth season modified the effects of temperature on the gestational age (Pinteraction < 0.10). CONCLUSIONS Elevated ambient temperature can decrease gestational age and increase the risk of PTB in offspring of adolescent mothers in rural areas. The birth season may modify the effects of temperature on gestational age.
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Affiliation(s)
- Yongxiang Gong
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Jian Chai
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Meng Yang
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Panpan Sun
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Renjie Sun
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Wei Dong
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Qinyang Li
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Dezhuang Zhou
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Yuhong Wang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Xi Yan
- Department of Neurology, Henan Provincial People's Hospital; Zhengzhou University People's Hospital; Henan University People's Hospital, Zhengzhou, Henan, 450001, PR China.
| | - Junxi Zhang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Yawei Zhang
- Department of Environment Health Science, Yale University School of Public Health, New Haven, CT, USA.
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, Henan, 450002, PR China.
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, PR China; Yellow River Institute for Ecological Protection & Regional Coordinated Development, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
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Jiang W, Liu Z, Ni B, Xie W, Zhou H, Li X. Modification of the effects of nitrogen dioxide and sulfur dioxide on congenital limb defects by meteorological conditions. Hum Reprod 2021; 36:2962-2974. [PMID: 34382079 DOI: 10.1093/humrep/deab187] [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: 04/01/2021] [Revised: 07/12/2021] [Indexed: 12/19/2022] Open
Abstract
STUDY QUESTION Can meteorological conditions modify the associations between NO2 and SO2 exposure and congenital limb defects (CLDs) during the first trimester of pregnancy? SUMMARY ANSWER Increases in NO2 and SO2 exposure were consistently associated with higher risks of CLDs during the first trimester of pregnancy; both low- and high-temperature exposure and high air humidity act synergistically with the two air pollutants on CLDs. WHAT IS KNOWN ALREADY Animal studies have indicated air pollutants are associated with CLDs, but corresponding epidemiological studies are limited with equivocal conclusions. Meteorological conditions are closely connected to the generation, diffusion, distribution and even chemical toxicity of air pollutants. STUDY DESIGN, SIZE, DURATION This case-control study included 972 cases of CLDs and 9720 controls in Changsha, China during 2015-2018. PARTICIPANTS/MATERIALS, SETTING, METHODS Cases from the hospital based monitoring system for birth defects (including polydactyly, syndactyly, limb shortening, and clubfoot) and healthy controls from the electronic medical records system were studied. Complete data on daily average NO2 and SO2 concentrations and meteorological variables were obtained from local monitoring stations to estimate monthly individual exposures during the first trimester of pregnancy, using the nearest monitoring station approach for NO2 and SO2 concentrations, and the city-wide average approach for temperature and relative humidity, respectively. The 25th and 75th percentiles of daily mean temperature, as well as the 50th percentile of daily mean relative humidity during the study period were used to classify high- and low-temperature exposure, and high humidity exposure based on existing evidence and local climate characteristics. Multivariate logistic regression models were used to estimate the independent effects per 10 μg/m3 increase in NO2 and SO2 on CLDs, and the attribute proportions of interaction (API) were used to quantify the additive joint effects of air pollutants with meteorological conditions after including a cross product interaction term in the regression models. MAIN RESULTS AND THE ROLE OF CHANCE NO2 and SO2 exposures during the first trimester of pregnancy were consistently and positively associated with overall CLDs and subtypes, with adjusted odd ratios (aORs) ranging from 1.13 to 1.27 for NO2, and from 1.37 to 2.49 for SO2. The effect estimates were generally observed to be the strongest in the first month and then attenuated in the second and third months of pregnancy. Synergistic effects of both low and high temperature in combination with NO2 (with APIs ranging from 0.07 to 0.38) and SO2 (with APIs ranging from 0.18 to 0.51) appeared in the first trimester of pregnancy. Several significant modifying effects by high humidity were also observed, especially for SO2 (with APIs ranging from 0.13 to 0.38). Neither NO2 nor SO2 showed an interactive effect with season of conception. LIMITATIONS, REASONS FOR CAUTION The methods used to estimate individual exposure levels of air pollutants and meteorological factors may lead to the misclassification bias because of the lack of information on maternal activity patterns and residential mobility during pregnancy. Moreover, we were unable to consider several potentially confounding factors, including socioeconomic status, maternal nutrient levels, alcohol use and smoking during early pregnancy due to unavailable data, although previous studies have suggested limited change to the results after when including these factors in the analysis. WIDER IMPLICATIONS OF THE FINDINGS The findings are helpful for understanding the combined effects of air pollution and meteorological conditions on birth defects. Environmental policies and practices should be formulated and implemented to decrease air pollutant emissions and improve meteorological conditions to reduce their harmful effects on pregnancy. Additionally, pregnant women should be suggested to reduce outdoor time when the air quality is poor, especially when ambient temperature is higher or lower than what is comfortable, or when it is excessively humid. STUDY FUNDING/COMPETING INTEREST(S) The study is funded by Major Scientific and Technological Projects for Collaborative Prevention and Control of Birth Defects in Hunan Province (2019SK1012), Major Research and Development Projects in Hunan Province (2018SK2060) and Scientific and Technological Department Projects in Hunan Province (2017SK50802). There are no competing interests. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Wen Jiang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Zhiyu Liu
- Maternal and Child Health Care Hospital of Hunan Province, Changsha, China
| | - Bin Ni
- Maternal and Child Health Care Hospital of Hunan Province, Changsha, China
| | - Wanqin Xie
- Maternal and Child Health Care Hospital of Hunan Province, Changsha, China
| | - Haiyan Zhou
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Xingli Li
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
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Jiang W, Liu Z, Ni B, Xie W, Zhou H, Li X. Independent and interactive effects of air pollutants and ambient heat exposure on congenital heart defects. Reprod Toxicol 2021; 104:106-113. [PMID: 34311057 DOI: 10.1016/j.reprotox.2021.07.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 07/10/2021] [Accepted: 07/19/2021] [Indexed: 12/16/2022]
Abstract
Accumulating studies have been focused on the independent effects of air pollutants and ambient heat exposure on congenital heart defects (CHDs) but with inconsistent results, and their interactive effect remains unclear. A case-control study including 921 cases and 9210 controls was conducted in Changsha, China in warm season in 2015-2018. The gravidas were assigned monthly averages of daily air pollutants and daily maximum temperature using the nearest monitoring station method and city-wide average method, respectively, during the first trimester of pregnancy. Multivariate logistic regression models were used to estimate the independent effects of each air pollutant and different ambient heat exposure indicators. Their additive joint effects were quantified using attribute proportions of interaction (API). Increasing SO2 consistently increased the risk of CHDs in the first trimester of pregnancy, with aORs ranging from 1.78 to 2.04. CO, NO2 and PM2.5 exposure in the first month of pregnancy, and O3 exposure in the second and third month of pregnancy were also associated with elevated risks of CHDs, with aORs ranging from 1.04 to 1.15. Depending on the ambient heat exposure indicator used, air pollutants showed more apparent synergistic effects (API > 0) with less and moderately intense heat exposure. Maternal exposure to CO, NO2, SO2, PM2.5 and O3 during early pregnancy increased risk of CHDs, and ambient heat exposure may enhance these effects. Our findings help to understand the interactive effect of air pollution with ambient heat exposure on CHDs, which is of vital public health significance.
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Affiliation(s)
- Wen Jiang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
| | - Zhiyu Liu
- Maternal and Child Health Care Hospital of Hunan Province, Changsha, China.
| | - Bin Ni
- Maternal and Child Health Care Hospital of Hunan Province, Changsha, China.
| | - Wanqin Xie
- Maternal and Child Health Care Hospital of Hunan Province, Changsha, China.
| | - Haiyan Zhou
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
| | - Xingli Li
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.
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