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Lamichhane DK, Ha E, Hong YC, Lee DW, Park MS, Song S, Kim S, Kim WJ, Bae J, Kim HC. Ambient particulate matter and surrounding greenness in relation to sleep quality among pregnant women: A nationwide cohort study. Heliyon 2024; 10:e26742. [PMID: 38434397 PMCID: PMC10904245 DOI: 10.1016/j.heliyon.2024.e26742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 02/08/2024] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
Background Particulate air pollution and residential greenness are associated with sleep quality in the general population; however, their influence on maternal sleep quality during pregnancy has not been assessed. Objective This cross-sectional study investigated the individual and interactive effects of exposure to particulate matter (PM) air pollution and residential greenness on sleep quality in pregnant women. Methods Pregnant women (n = 4933) enrolled in the Korean Children's Environmental Health Study with sleep quality information and residential address were included. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). The average concentrations of PM (PM2.5 and PM10) during pregnancy were estimated through land use regression, and residential greenness in a 1000 m buffer area around participants' residences was estimated using the Normalized Difference Vegetation Index (NDVI1000-m). Modified Poisson regression models were used to estimate the associations between PM and NDVI and poor sleep quality (PSQI >5) after controlling for a range of covariates. A four-way mediation analysis was conducted to examine the mediating effects of PM. Results After adjusting for confounders, each 10 μg/m3 increase in PM2.5 and PM10 exposure was associated with a higher risk of poor sleep quality (relative risk [RR]: 1.06; 95% confidence interval [CI]: 1.01, 1.11; and RR: 1.09; 95% CI: 1.06, 1.13, respectively), and each 0.1-unit increase in NDVI1000-m was associated with a lower risk of poor sleep quality (RR: 0.97; 95% CI: 0.95, 0.99). Mediation analysis showed that PM mediated approximately 37%-56% of the association between residential greenness and poor sleep quality. Conclusions This study identified a positive association between residential greenness and sleep quality. Furthermore, these associations are mediated by a reduction in exposure to particulate air pollution and highlight the link between green areas, air pollution control, and human health.
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Affiliation(s)
- Dirga Kumar Lamichhane
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Eunhee Ha
- Department of Occupational and Environmental Medicine, Ewha Womans University School of Medicine, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Dong-Wook Lee
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Myung-Sook Park
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Sanghwan Song
- Environmental Health Research Division, Department of Environmental Health Research, National Institute of Environmental Research, Ministry of Environment, Incheon, Republic of Korea
| | - Suejin Kim
- Environmental Health Research Division, Department of Environmental Health Research, National Institute of Environmental Research, Ministry of Environment, Incheon, Republic of Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, Republic of Korea
| | - Jisuk Bae
- Department of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, Republic of Korea
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
| | - Ko-CHENS Study Group
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Republic of Korea
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Occupational and Environmental Medicine, Ewha Womans University School of Medicine, Seoul, Republic of Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
- Environmental Health Research Division, Department of Environmental Health Research, National Institute of Environmental Research, Ministry of Environment, Incheon, Republic of Korea
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, Republic of Korea
- Department of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, Republic of Korea
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Casey JA, Daouda M, Babadi RS, Do V, Flores NM, Berzansky I, González DJ, Van Horne YO, James-Todd T. Methods in Public Health Environmental Justice Research: a Scoping Review from 2018 to 2021. Curr Environ Health Rep 2023; 10:312-336. [PMID: 37581863 PMCID: PMC10504232 DOI: 10.1007/s40572-023-00406-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 08/16/2023]
Abstract
PURPOSE OF REVIEW The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods. RECENT FINDINGS We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.
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Affiliation(s)
- Joan A. Casey
- University of Washington School of Public Health, Seattle, WA USA
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Misbath Daouda
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Ryan S. Babadi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Vivian Do
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Nina M. Flores
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Isa Berzansky
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - David J.X. González
- Department of Environmental Science, Policy & Management and School of Public Health, University of California, Berkeley, Berkeley, CA 94720 USA
| | | | - Tamarra James-Todd
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
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James P, Wilt GE, Jimenez MP. Invited Perspective: Can My Smartphone Assess My Exposure? The Potential to Retroactively Estimate Personalized Exposures using Smartphone Location Data. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:111304. [PMID: 36356209 PMCID: PMC9648903 DOI: 10.1289/ehp12237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Affiliation(s)
- Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Grete E. Wilt
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Marcia Pescador Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
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Rebbeck TR. What Geohistory Can Teach Us About Fundamental Causes of Health Inequities. Health Equity 2022; 6:691-695. [PMID: 36225661 PMCID: PMC9536340 DOI: 10.1089/heq.2021.0191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/30/2022] [Indexed: 11/12/2022] Open
Abstract
The causes of cancer health inequities are complex, multilevel, and intersectional. The typical disciplines and data used to address these inequities focus on public health, health services, clinical, and fundamental science. Fundamental causes such as systemic racism are a source of much health inequity, but a broader scope of fundamental causes may be considered. Geohistorical events may intersect with other fundamental causes of health inequities. In this study, an example of relationships between ancient geological events, slavery, and subsequent effects of systematic racism are identified. These relationships support the hypothesis that health inequities have deep and complex origins. Geohistorical factors precede social, economic, and political influences on health inequities, and suggest that a full understanding of cancer health inequities and their elimination may be informed by geohistorical events. Thus, addressing inequities may involve disciplines not typically involved in health equity collaborations, including geography, history, economics, political science, and others.
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Affiliation(s)
- Timothy R. Rebbeck
- Division of Population Science, Department of Medical Oncology, Dana-Farber Cancer Institute and Zhu Family Center for Global Cancer Prevention and Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
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