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Cardinali M, Beenackers MA, Timmeren AV, Pottgiesser U. Urban green spaces, self-rated air pollution and health: A sensitivity analysis of green space characteristics and proximity in four European cities. Health Place 2024; 89:103300. [PMID: 38924920 DOI: 10.1016/j.healthplace.2024.103300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
Exploring the influence of green space characteristics and proximity on health via air pollution mitigation, our study analysed data from 1,365 participants across Porto, Nantes, Sofia, and Høje-Taastrup. Utilizing OpenStreetMap and the AID-PRIGSHARE tool, we generated nine green space indicators around residential addresses at 15 distances, ranging from 100m to 1500m. We performed a mediation analysis for these 135 green space variables and revealed significant associations between self-rated air pollution and self-rated health for specific green space characteristics. In our study, indirect positive effects on health via air pollution were mainly associated with green corridors in intermediate Euclidean distances (800-1,000m) and the amount of accessible green spaces in larger network distances (1,400-1,500m). Our results suggest that the amount of connected green spaces measured in intermediate surroundings seems to be a prime green space characteristic that could drive the air pollution mitigation pathway to health.
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Affiliation(s)
- Marcel Cardinali
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands; Institute for Design Strategies, OWL University of Applied Sciences and Arts, 32756, Detmold, Germany.
| | - Mariëlle A Beenackers
- Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - Arjan van Timmeren
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands
| | - Uta Pottgiesser
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands; Institute for Design Strategies, OWL University of Applied Sciences and Arts, 32756, Detmold, Germany
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Shaw GM, Gonzalez DJX, Goin DE, Weber KA, Padula AM. Ambient Environment and the Epidemiology of Preterm Birth. Clin Perinatol 2024; 51:361-377. [PMID: 38705646 DOI: 10.1016/j.clp.2024.02.004] [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: 05/07/2024]
Abstract
Preterm birth (PTB) is associated with substantial mortality and morbidity. We describe environmental factors that may influence PTB risks. We focus on exposures associated with an individual's ambient environment, such as air pollutants, water contaminants, extreme heat, and proximities to point sources (oil/gas development or waste sites) and greenspace. These exposures may further vary by other PTB risk factors such as social constructs and stress. Future examinations of risks associated with ambient environment exposures would benefit from consideration toward multiple exposures - the exposome - and factors that modify risk including variations associated with the structural genome, epigenome, social stressors, and diet.
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Affiliation(s)
- Gary M Shaw
- Epidemiology and Population Health, Obstetrics & Gynecology - Maternal Fetal Medicine, Department of Pediatrics, Stanford University School of Medicine, Center for Academic Medicine (CAM), 453 Quarry Road, Stanford, CA 94304, USA.
| | - David J X Gonzalez
- Division of Environmental Health Sciences, School of Public Health, University of California, 2121 Berkeley Way, CA 94720, USA
| | - Dana E Goin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA
| | - Kari A Weber
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 West Markham Street, RAHN 6219, Rock, AR 72205, USA
| | - Amy M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, 490 Illinois Street, #103N, San Francisco, CA 94158, USA
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Gogna P, Borghese MM, Villeneuve PJ, Kumarathasan P, Johnson M, Shutt RH, Ashley-Martin J, Bouchard MF, King WD. A cohort study of the multipollutant effects of PM 2.5, NO 2, and O 3 on C-reactive protein levels during pregnancy. Environ Epidemiol 2024; 8:e308. [PMID: 38799262 PMCID: PMC11115979 DOI: 10.1097/ee9.0000000000000308] [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: 08/04/2023] [Accepted: 03/18/2024] [Indexed: 05/29/2024] Open
Abstract
Background PM2.5, NO2, and O3 contribute to the development of adverse pregnancy complications. While studies have investigated the independent effects of these exposures, literature on their combined effects is limited. Our objective was to study the multipollutant effects of PM2.5, NO2, and O3 on maternal systemic C-reactive protein (CRP) levels. Methods We used data from 1170 pregnant women enrolled in the Maternal-Infant Research on Environmental Chemicals Study (MIREC) study in Canada. Air pollution exposures were assigned to each participant based on residential location. CRP was measured in third-trimester blood samples. We fit multipollutant linear regression models and evaluated the effects of air pollutant mixtures (14-day averages) using repeated-holdout Weighted Quantile Sum (WQS) regression and by calculating the Air Quality Health Index (AQHI). Results In multipollutant models adjusting for NO2, O3, and green space, each interquartile range (IQR) increase in 14-day average PM2.5 (IQR: 6.9 µg/m3) was associated with 27.1% (95% confidence interval [CI] = 6.2, 50.7) higher CRP. In air pollution mixture models adjusting for green space, each IQR increase in AQHI was associated with 37.7% (95% CI = 13.9, 66.5) higher CRP; and an IQR increase in the WQS index was associated with 78.6% (95% CI = 29.7, 146.0) higher CRP. Conclusion PM2.5 has the strongest relationship of the individual pollutants examined with maternal blood CRP concentrations. Mixtures incorporating all three pollutants, assessed using the AQHI and WQS index, showed stronger relationships with CRP compared with individual pollutants and illustrate the importance of conducting multipollutant analyses.
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Affiliation(s)
- Priyanka Gogna
- Department of Public Health Sciences, Queen’s University, Kingston, Ontario, Canada
| | - Michael M. Borghese
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Paul J. Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | | | - Markey Johnson
- Water and Air Quality Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Robin H. Shutt
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Jillian Ashley-Martin
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | | | - Will D. King
- Department of Public Health Sciences, Queen’s University, Kingston, Ontario, Canada
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Squillacioti G, Fasola S, Ghelli F, Colombi N, Pandolfo A, La Grutta S, Viegi G, Bono R. Different greenness exposure in Europe and respiratory outcomes in youths. A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2024; 247:118166. [PMID: 38220079 DOI: 10.1016/j.envres.2024.118166] [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: 04/07/2023] [Revised: 12/19/2023] [Accepted: 01/08/2024] [Indexed: 01/16/2024]
Abstract
The existing evidence on the association between greenness and respiratory outcomes remains inconclusive. We aimed at systematically summarizing existing literature on greenness exposure and respiratory outcomes in European children and adolescents, with a preliminary attempt to qualify the distribution of dominant tree species across different geographical areas and bioclimatic regions. Overall, 4049 studies were firstly identified by searching PubMed/MEDLINE, EMBASE, Scopus, Web of Science, GreenFile and CAB direct, up to 29 August 2023. Eighteen primary studies were included in the systematic review and six were meta-analyzed. No overall significant association was observed between the Normalized Difference Vegetation Index, assessed within 500-m buffers (i.e. NDVI-500), and the odds of asthma for 0.3-increase in the exposure (OR: 0.97, 95% CI from 0.53 to 1.78). Similarly, an overall exposure to the NDVI-300 highest tertile, as compared to the lowest tertile, was not significantly associated with asthma (OR: 0.65, 95% CI from 0.22 to 1.91): heterogeneity among studies was significant (p = 0.021). We delineated some key elements that might have mostly contributed to the lack of scientific consensus on this topic, starting from the urgent need of harmonized approaches for the operational definition of greenness. Additionally, the complex interplay between greenness and respiratory health may vary across different geographical regions and climatic conditions. At last, the inconsistent findings may reflect the heterogeneity and complexity of this relationship, rather than a lack of scientific consensus itself. Future research should compare geographical areas with similar bioclimatic parameters and dominant or potentially present vegetation species, in order to achieve a higher inter-study comparability.
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Affiliation(s)
- Giulia Squillacioti
- Department of Public Health and Pediatrics, University of Turin, 10126, Turin, Italy.
| | - Salvatore Fasola
- Institute of Translational Pharmacology (IFT), National Research Council, 90146, Palermo, Italy.
| | - Federica Ghelli
- Department of Public Health and Pediatrics, University of Turin, 10126, Turin, Italy.
| | - Nicoletta Colombi
- Biblioteca Federata di Medicina Ferdinando Rossi, University of Turin, 10126, Turin, Italy.
| | - Alessandra Pandolfo
- Institute of Translational Pharmacology (IFT), National Research Council, 90146, Palermo, Italy.
| | - Stefania La Grutta
- Institute of Translational Pharmacology (IFT), National Research Council, 90146, Palermo, Italy.
| | - Giovanni Viegi
- Institute of Clinical Physiology (IFC), National Research Council of Italy, 56126, Pisa, Italy.
| | - Roberto Bono
- Department of Public Health and Pediatrics, University of Turin, 10126, Turin, Italy.
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Bereziartua A, Cabrera-León A, Subiza-Pérez M, García-Baquero G, Delís Gomez S, Ballester F, Estarlich M, Merelles A, Esplugues A, Irles MA, Barona C, Mas R, Font-Ribera L, Bartoll X, Pérez K, Oliveras L, Binter AC, Daponte A, García Mochon L, García Cortés H, Sánchez-Cantalejo Garrido MDC, Lacasaña M, Cáceres R, Rueda M, Saez M, Lertxundi A. Urban environment and health: a cross-sectional multiregional project based on population health surveys in Spain (DAS-EP project) - study protocol. BMJ Open 2024; 14:e074252. [PMID: 38553060 PMCID: PMC10982794 DOI: 10.1136/bmjopen-2023-074252] [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: 03/31/2023] [Accepted: 02/26/2024] [Indexed: 04/02/2024] Open
Abstract
INTRODUCTION The European Environment Agency estimates that 75% of the European population lives in cities. Despite the many advantages of city life, the risks and challenges to health arising from urbanisation need to be addressed in order to tackle the growing burden of disease and health inequalities in cities. This study, Urban environment and health: a cross-sectional multiregional project based on population health surveys in Spain (DAS-EP project), aims to investigate the complex association between the urban environmental exposures (UrbEEs) and health. METHODS AND ANALYSIS DAS-EP is a Spanish multiregional cross-sectional project that combines population health surveys (PHS) and geographical information systems (GIS) allowing to collect rich individual-level data from 17 000 adult citizens participating in the PHS conducted in the autonomous regions of the Basque Country, Andalusia, and the Valencian Community, and the city of Barcelona in the years 2021-2023. This study focuses on the population living in cities or metropolitan areas with more than 100 000 inhabitants. UrbEEs are described by objective estimates at participants' home addresses by GIS, and subjective indicators present in PHS. The health outcomes included in the PHS and selected for this study are self-perceived health (general and mental), prevalence of chronic mental disorders, health-related quality of life, consumption of medication for common mental disorders and sleep quality. We aim to further understand the direct and indirect effects between UrbEEs and health, as well as to estimate the impact at the population level, taking respondents' sociodemographic and socioeconomic characteristics, and lifestyle into consideration. ETHICS AND DISSEMINATION The study was approved by the regional Research Ethics Committee of the Basque Country (Ethics Committee for Research Involving Medicinal Products in the Basque Country; PI2022138), Andalusia (Biomedical Research Ethics Committee of the Province of Granada; 2078-N-22), Barcelona (CEIC-PSMar; 2022/10667) and the Valencian Community (Ethics Committee for Clinical Research of the Directorate General of Public Health and Center for Advanced Research in Public Health; 20221125/04). The results will be communicated to the general population, health professionals, and institutions through conferences, reports and scientific articles.
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Affiliation(s)
- Ainhoa Bereziartua
- Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
- Group of Environmental Epidemiology and Child Development, IIS Biogipuzkoa, Donostia-San Sebastian, Guipuzcoa, Spain
| | - Andrés Cabrera-León
- Andalusian School of Public Health, Granada, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
| | - Mikel Subiza-Pérez
- Group of Environmental Epidemiology and Child Development, IIS Biogipuzkoa, Donostia-San Sebastian, Guipuzcoa, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Department of Clinical and Health Psychology and Research Methods, University of the Basque Country UPV/EHU, Bilbao, País Vasco, Spain
- Bradford Institute for Health Research, Bradford, UK
| | - Gonzalo García-Baquero
- Group of Environmental Epidemiology and Child Development, IIS Biogipuzkoa, Donostia-San Sebastian, Guipuzcoa, Spain
- Faculty of Pharmacy, University of Salamanca, Salamanca, Spain
| | | | - Ferran Ballester
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Faculty of Nursing and Chiropody, University of Valencia, Valencia, Comunitat Valenciana, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valèncian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valèncian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Faculty of Nursing and Chiropody, Universitat de Valencia, Valencia, Comunitat Valenciana, Spain
| | - Antonio Merelles
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valèncian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Faculty of Nursing and Chiropody, Universitat de Valencia, Valencia, Comunitat Valenciana, Spain
| | - Ana Esplugues
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valèncian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
- Faculty of Nursing and Chiropody, Universitat de Valencia, Valencia, Comunitat Valenciana, Spain
| | | | - Carmen Barona
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- General Directorate of Public Health, Valencia, Valencian Community, Spain
- Research group "Local Action on Health and Equity (ALES)", Foundation for the Promotion of Health and Biomedical Research in the Valèncian Region, FISABIO-Public Health, Valencia, Spain
| | - Rosa Mas
- General Directorate of Public Health, Valencia, Valencian Community, Spain
- Research group "Local Action on Health and Equity (ALES)", Foundation for the Promotion of Health and Biomedical Research in the Valèncian Region, FISABIO-Public Health, Valencia, Spain
| | - Laia Font-Ribera
- Agencia de Salut Publica de Barcelona, Barcelona, Catalunya, Spain
- Institut d'Investigacio Biomedica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - X Bartoll
- Agencia de Salut Publica de Barcelona, Barcelona, Catalunya, Spain
- Institut d'Investigacio Biomedica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Katherine Pérez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Agencia de Salut Publica de Barcelona, Barcelona, Catalunya, Spain
- Institut d'Investigacio Biomedica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Laura Oliveras
- Agencia de Salut Publica de Barcelona, Barcelona, Catalunya, Spain
- Institut d'Investigacio Biomedica Sant Pau (IIB SANT PAU), Barcelona, Spain
| | - Anne-Claire Binter
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Antonio Daponte
- Andalusian School of Public Health, Granada, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
| | - Leticia García Mochon
- Andalusian School of Public Health, Granada, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Instituto de Investigación Biosanitaria de Granada, Granada, Spain
| | - Helena García Cortés
- Andalusian School of Public Health, Granada, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
| | - María Del Carmen Sánchez-Cantalejo Garrido
- Andalusian School of Public Health, Granada, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
| | - Marina Lacasaña
- Andalusian School of Public Health, Granada, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Instituto de Investigación Biosanitaria de Granada, Granada, Spain
| | - Rocío Cáceres
- Nursing Department, University of Seville, Sevilla, Spain
- Research group PAIDI CTS-1050: "Complex Care, Chronicity and Health Outcomes", University of Seville, Seville, Spain
| | - María Rueda
- Department of Statistics and Operational Research, University of Granada, Granada, Spain
- Institute of Mathematics, University of Granada, Granada, Spain
| | - Marc Saez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Catalunya, Spain
| | - Aitana Lertxundi
- Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
- Group of Environmental Epidemiology and Child Development, IIS Biogipuzkoa, Donostia-San Sebastian, Guipuzcoa, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Comunidad de Madrid, Spain
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Yu Y, Lin H, Liu Q, Ma Y, Zhao L, Li W, Zhou Y, Byun HM, Li P, Li C, Sun C, Chen X, Liu Z, Dong W, Chen L, Deng F, Wu S, Hou S, Guo L. Association of residential greenness, air pollution with adverse birth outcomes: Results from 61,762 mother‑neonatal pairs in project ELEFANT (2011-2021). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169549. [PMID: 38145684 DOI: 10.1016/j.scitotenv.2023.169549] [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: 09/16/2023] [Revised: 11/06/2023] [Accepted: 12/18/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Emerging evidence has demonstrated the benefits of greenness exposure on human health, while conflicts remain unsolved in issue of adverse birth outcomes. METHODS Utilizing data from project ELEFANT spanning the years 2011 to 2021, we assessed residential greenness using the NDVI from MODIS data and residential PM2.5 exposure level from CHAP data. Our primary concerns were PTD, LBW, LGA, and SGA. Cox proportional hazard regression model was used to examine the association of residential greenness and air pollution exposure with risk of adverse birth outcomes. We performed mediation and modification effect analyses between greenness and air pollutant. RESULTS We identified 61,762 mother‑neonatal pairs in final analysis. For per 10 μg/m3 increase in PM2.5 concentration during entire pregnancy was associated with 19.8 % and 20.7 % increased risk of PTD and LGA. In contrast, we identified that an 0.1 unit increment in NDVI were associated with 24 %, 43 %, 26.5 %, and 39.5 % lower risk for PTD, LBW, LGA, and SGA, respectively. According to mediation analysis, NDVI mediated 7.70 % and 7.89 % of the associations between PM2.5 and PTD and LGA. Residential greenness could reduce the risk of PTD among mothers under 35 years old, living in rural areas, primigravidae and primiparity.. CONCLUSIONS In summary, our results highlighted the potential of residential greenness to mitigate the risk of adverse birth outcomes, while also pointing to the adverse impact of PM2.5 on increased risk of multiple adverse birth outcomes (PTD and LGA). The significant mediation effect of NDVI emphasizes its potential as an important protective factor of PM2.5 exposure. Additionally, the identification of susceptible subgroups can inform targeted interventions to reduce adverse birth outcomes related to air pollution and lack of green spaces. Further research and understanding of these associations can contribute to better public health strategies aimed at promoting healthier pregnancies and birth outcomes.
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Affiliation(s)
- Yuanyuan Yu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Huishu Lin
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Yuxuan Ma
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Lei Zhao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Weixia Li
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Yan Zhou
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Hyang-Min Byun
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle Upon Tyne NE4 5PL, UK
| | - Penghui Li
- Department of Environmental Science, School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Chen Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Congcong Sun
- Department of Scientific Research Center, The Third Clinical Institute Affiliated of Wenzhou Medical University, The Third Affiliated of Shanghai University, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Wenzhou, China
| | - Xuemei Chen
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Ziquan Liu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Wenlong Dong
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China
| | - Liqun Chen
- Academy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin 300072, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Shike Hou
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China.
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Ye T, Xu R, Abramson MJ, Guo Y, Zhang Y, Saldiva PHN, Coelho MSZS, Li S. Maternal greenness exposure and preterm birth in Brazil: A nationwide birth cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123156. [PMID: 38142032 DOI: 10.1016/j.envpol.2023.123156] [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: 09/07/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 12/25/2023]
Abstract
In the dynamic landscape of maternal and child health, understanding the intricate interplay between environmental factors and pregnancy outcomes is of paramount importance. This study investigates the relationship between maternal greenness exposure and preterm births in Brazil using data spanning from 2010 to 2019. Satellite-derived indices, including the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), were employed to assess greenness exposure during whole pregnancy in maternal residential area. Employing Cox proportional hazard models, we calculated the hazard ratios (HRs) with 95% confidence intervals (CIs) for changes in NDVI, while adjusting for individual and area-level covariates. In total, 24,010,250 live births were included. Prevalence of preterm birth was 11.5%, with a modest but statistically significant decreasing trend (p = 0.013) observed across the nation over the study period. The findings reveal a significant association between greenness exposure and a reduced risk of preterm birth. Specifically, for every 0.1 increase in NDVI, there was a 2.0% decrease in the risk of preterm birth (95%CI: 1.9%-2.2%). Stratified analyses based on maternal education and ethnicity indicated potential effect modifications, with stronger protective effects observed among younger mothers and those with less years of education. Sensitivity analyses using EVI yielded consistent results. In conclusion, this study suggests that higher maternal greenness exposure is linked to a decreased risk of preterm birth in Brazil. These findings imply that enhancing residential greenspaces could be a valuable public health strategy to promote maternal and child health in Brazil.
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Affiliation(s)
- Tingting Ye
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Michael J Abramson
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Yiwen Zhang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Paulo H N Saldiva
- Urban Health Laboratory University of São Paulo, Faculty of Medicine/INSPER, São Paulo, 01246-903, Brazil
| | - Micheline S Z S Coelho
- Urban Health Laboratory University of São Paulo, Faculty of Medicine/INSPER, São Paulo, 01246-903, Brazil
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
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8
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Ahmer Z, Atif M, Zaheer S, Adil O, Shaikh S, Shafique K. Association between residential green spaces and pregnancy outcomes: a systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-18. [PMID: 38185100 DOI: 10.1080/09603123.2023.2299242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 12/20/2023] [Indexed: 01/09/2024]
Abstract
Residential exposure to greenness has shown positive influences on pregnancy outcomes like birth weight, preterm births, and small to gestational age (SGA) deliveries. We aimed to comprehensively review and investigate these associations by conducting a systematic review with meta-analysis. Relevant studies were retrieved from PubMed, EMBASE, ScienceDirect, and Google Scholar databases before June 2023. Summary effect estimates included birth weight, low birth weight (LBW), preterm births, and SGA which were calculated for 0.1 unit increase in residential greenness exposure. Overall quality of the evidence was examined through Joanna Briggs Institute (JBI) critical appraisal tool. The review included 31 articles and found a statistically significant increase in birth weight measured at 250 m buffer distance (β = 8.95, 95% CI = 1.63-16.27). Green spaces were also associated with lower odds of LBW (OR = 0.97, 95% CI = 0.96-0.98). Residential greenness had positive impacts on pregnancy outcomes that calls for emphasis on urban planning, especially in developing countries.
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Affiliation(s)
- Zaeema Ahmer
- APPNA Institute of Public Health, Jinnah Sindh Medical University, Karachi, Sindh, Pakistan
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Maria Atif
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Sidra Zaheer
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Omair Adil
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
| | - Shiraz Shaikh
- APPNA Institute of Public Health, Jinnah Sindh Medical University, Karachi, Sindh, Pakistan
| | - Kashif Shafique
- School of Public Health, Dow University of Health Sciences, Karachi, Sindh, Pakistan
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9
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Lei R, Zhang L, Liu X, Liu C, Xiao Y, Xue B, Wang Z, Hu J, Ren Z, Luo B. Residential greenspace and blood lipids in an essential hypertension population: Mediation through PM 2.5 and chemical constituents. ENVIRONMENTAL RESEARCH 2024; 240:117418. [PMID: 37852460 DOI: 10.1016/j.envres.2023.117418] [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: 07/14/2023] [Revised: 10/12/2023] [Accepted: 10/14/2023] [Indexed: 10/20/2023]
Abstract
Fine particulate matter (PM2.5) adversely affects blood lipids, while residential greenspace exposure may improve blood lipids levels. However, the association between exposure to residential greenspace and blood lipids has not been adequately studied, especially in vulnerable populations (e.g. people with essential hypertension). This study aimed to assess the association between residential greenspace exposure and blood lipids, and to clarify whether PM2.5 and chemical constituents was mediator of it. We used a period (May 2010 to December 2011) from the Chinese national hypertension project. The residential greenspace was estimated using satellite-derived normalized difference vegetation index (NDVI). The generalized additive mixed model (GAMM) was used to assess the association between exposure to residential greenspace and blood lipids, and the mediation model was used to examine whether there was a mediating effect of PM2.5 and chemical constituents on that association. The exposure to residential greenspace was negatively associated with the decreased risk of dyslipidemia, especially short-term exposure. For example, the odd ratioshort-term for dyslipidemia was 0.915 (95% CI:0.880 to 0.950). This association was strengthened by physical activity and participants living in the North. PM2.5 and chemical constituents were important mediators in this association, with the proportion of mediators ranging from -5.02% to 26.33%. The association between exposure to residential greenspace and dyslipidemia in this essential hypertensive population, especially participants living in the North and doing daily physical activity, was mediated by PM2.5 and chemical constituents.
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Affiliation(s)
- Ruoyi Lei
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Ling Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Xin Liu
- School of Spatial Planning and Design, Hangzhou City University, Hangzhou, Zhejiang, 310015, China
| | - Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Ya Xiao
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Baode Xue
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Jihong Hu
- School of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China.
| | - Zhoupeng Ren
- State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, 200030, China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, China.
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10
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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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11
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Geary RS, Thompson DA, Garrett JK, Mizen A, Rowney FM, Song J, White MP, Lovell R, Watkins A, Lyons RA, Williams S, Stratton G, Akbari A, Parker SC, Nieuwenhuijsen MJ, White J, Wheeler BW, Fry R, Tsimpida D, Rodgers SE. Green-blue space exposure changes and impact on individual-level well-being and mental health: a population-wide dynamic longitudinal panel study with linked survey data. PUBLIC HEALTH RESEARCH 2023; 11:1-176. [PMID: 37929711 DOI: 10.3310/lqpt9410] [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: 11/07/2023] Open
Abstract
Background Cross-sectional evidence suggests that living near green and blue spaces benefits mental health; longitudinal evidence is limited. Objectives To quantify the impact of changes in green and blue spaces on common mental health disorders, well-being and health service use. Design A retrospective, dynamic longitudinal panel study. Setting Wales, UK. Participants An e-cohort comprising 99,682,902 observations of 2,801,483 adults (≥ 16 years) registered with a general practice in Wales (2008-2019). A 5312-strong 'National Survey for Wales (NSW) subgroup' was surveyed on well-being and visits to green and blue spaces. Main outcome measures Common mental health disorders, general practice records; subjective well-being, Warwick-Edinburgh Mental Well-being Scale. Data sources Common mental health disorder and use of general practice services were extracted quarterly from the Welsh Longitudinal General Practice Dataset. Annual ambient greenness exposure, enhanced vegetation index and access to green and blue spaces (2018) from planning and satellite data. Data were linked within the Secure Anonymised Information Linkage Databank. Methods Multilevel regression models examined associations between exposure to green and blue spaces and common mental health disorders and use of general practice. For the National Survey for Wales subgroup, generalised linear models examined associations between exposure to green and blue spaces and subjective well-being and common mental health disorders. Results and conclusions Our longitudinal analyses found no evidence that changes in green and blue spaces through time impacted on common mental health disorders. However, time-aggregated exposure to green and blue spaces contrasting differences between people were associated with subsequent common mental health disorders. Similarly, our cross-sectional findings add to growing evidence that residential green and blue spaces and visits are associated with well-being benefits: Greater ambient greenness (+ 1 enhanced vegetation index) was associated with lower likelihood of subsequently seeking care for a common mental health disorder [adjusted odds ratio (AOR) 0.80, 95% confidence interval, (CI) 0.80 to 0.81] and with well-being with a U-shaped relationship [Warwick-Edinburgh Mental Well-being Scale; enhanced vegetation index beta (adjusted) -10.15, 95% CI -17.13 to -3.17; EVI2 beta (quadratic term; adj.) 12.49, 95% CI 3.02 to 21.97]. Those who used green and blue spaces for leisure reported better well-being, with diminishing extra benefit with increasing time (Warwick-Edinburgh Mental Well-being Scale: time outdoors (hours) beta 0.88, 95% CI 0.53 to 1.24, time outdoors2 beta -0.06, 95% CI -0.11 to -0.01) and had 4% lower odds of seeking help for common mental health disorders (AOR 0.96, 95% CI 0.93 to 0.99). Those in urban areas benefited most from greater access to green and blue spaces (AOR 0.89, 95% CI 0.89 to 0.89). Those in material deprivation benefited most from leisure time outdoors (until approximately four hours per week; Warwick-Edinburgh Mental Well-being Scale: time outdoors × in material deprivation: 1.41, 95% CI 0.39 to 2.43; time outdoors2 × in material deprivation -0.18, 95% CI -0.33 to -0.04) although well-being remained generally lower. Limitations Longitudinal analyses were restricted by high baseline levels and limited temporal variation in ambient greenness in Wales. Changes in access to green and blue spaces could not be captured annually due to technical issues with national-level planning datasets. Future work Further analyses could investigate mental health impacts in population subgroups potentially most sensitive to local changes in access to specific types of green and blue spaces. Deriving green and blue spaces changes from planning data is needed to overcome temporal uncertainties. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (Project number 16/07/07) and will be published in full in Public Health Research; Vol. 11, No. 10. Sarah Rodgers is part-funded by the NIHR Applied Research Collaboration North West Coast.
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Affiliation(s)
- Rebecca S Geary
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | | | - Joanne K Garrett
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Amy Mizen
- Department of Health Data Science, Swansea University, Swansea, UK
| | - Francis M Rowney
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Jiao Song
- Department of Health Data Science, Swansea University, Swansea, UK
| | - Mathew P White
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Rebecca Lovell
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Alan Watkins
- Department of Health Data Science, Swansea University, Swansea, UK
| | - Ronan A Lyons
- Department of Health Data Science, Swansea University, Swansea, UK
| | | | | | - Ashley Akbari
- Department of Health Data Science, Swansea University, Swansea, UK
| | - Sarah C Parker
- Department of Health Data Science, Swansea University, Swansea, UK
| | | | - James White
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK
| | - Benedict W Wheeler
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Richard Fry
- Department of Health Data Science, Swansea University, Swansea, UK
| | - Dialechti Tsimpida
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | - Sarah E Rodgers
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
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12
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Gailey S. Changes in Residential Greenspace and Birth Outcomes among Siblings: Differences by Maternal Race. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6790. [PMID: 37754649 PMCID: PMC10531468 DOI: 10.3390/ijerph20186790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/06/2023] [Accepted: 08/19/2023] [Indexed: 09/28/2023]
Abstract
Growing research investigates the perinatal health benefits of greenspace in a mother's prenatal environment. However, evidence of associations between residential greenspace and birth outcomes remains mixed, limiting the relevance this work holds for urban policy and greening interventions. Past research relies predominantly on cross-sectional designs that are vulnerable to residential selection bias, and rarely tests effect modification by maternal race/ethnicity, which may contribute to heterogeneous findings. This study uses a rigorous, longitudinal sibling comparison design and maternal fixed effect analyses to test whether increases in maternal exposure to residential greenspace between pregnancies precede improved birth outcomes among non-Hispanic (NH) white (n = 247,285) and Black (n = 54,995) mothers (mean age = 28 years) who had at least two consecutive live births in California between 2005 and 2015. Results show that increases in residential greenspace correspond with higher birthweight (coef. = 75.49, 95% CI: 23.48, 127.50) among Black, but not white (coef. = -0.51, 95% CI: -22.90, 21.90), infants. Additional analyses suggest that prior evidence of perinatal benefits associated with residential greenspace among white mothers may arise from residential selection; no such bias is observed for Black mothers. Taken together, these findings support urban greening initiatives in historically under-resourced neighborhoods. Efforts to evenly distribute residential greenspace may reduce persistent racial disparities in birth outcomes, an important step towards promoting health equity across the life course.
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Affiliation(s)
- Samantha Gailey
- Department of Forestry, Michigan State University, East Lansing, MI 48824, USA;
- Department of Public Health, Michigan State University, Flint, MI 48502, USA
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13
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Kan Z, Kwan MP, Cai J, Liu Y, Liu D. Nonstationary relationships among individuals' concurrent exposures to noise, air pollution and greenspace: A mobility-based study using GPS and mobile sensing data. Health Place 2023; 83:103115. [PMID: 37716213 DOI: 10.1016/j.healthplace.2023.103115] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/23/2023] [Accepted: 09/06/2023] [Indexed: 09/18/2023]
Abstract
Individuals are often exposed to multiple environmental factors simultaneously. Understanding their joint effects is essential for developing effective public health policies. However, there has been a lack of research examining individuals' concurrent exposures to multiple environmental factors during people's daily mobility. To address this gap, this study investigated the relationships between and geographic patterns of individual exposures to air pollution (PM2.5), noise and greenspace using individual-level real-time GPS and mobile sensing data collected in outdoor environments. The findings indicate that the relationships between individual exposures to air pollution, noise and greenspace vary across different value ranges of exposures. The study also reveals that people's concurrent exposures to multiple environmental factors exhibit spatial nonstationary and strong clustering patterns. These results highlight the importance of considering spatial nonstationary and spatial heterogeneity of environmental exposures in understanding the relationships between multiple exposures in environmental health research.
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Affiliation(s)
- Zihan Kan
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Mei-Po Kwan
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Institute of Future Cities, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Jiannan Cai
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Yang Liu
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Dong Liu
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Institute of Future Cities, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
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14
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Siddika N, Song S, Margerison CE, Kramer MR, Luo Z. The impact of place-based contextual social and environmental determinants on preterm birth: A systematic review of the empirical evidence. Health Place 2023; 83:103082. [PMID: 37473634 DOI: 10.1016/j.healthplace.2023.103082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/22/2023]
Abstract
The objective of this study was to systematically review the available empirical evidence examining associations between preterm birth (PTB) and five domains of place-based contextual social and environmental determinants, including (1) physical environment, (2) residential greenness, (3) neighborhood violence/crime, (4) food accessibility and availability, and (5) health services accessibility, among adult mothers in high-income countries. The evidence in this review suggests an adverse association between damaged physical environment, neighborhood violence/crime, lack of health services accessibility, and PTB. The existing evidence also suggests a beneficial effect of residential greenness on PTB. Further studies are needed to investigate these associations for more understanding of the direction and magnitude of these association and for potential heterogeneity by factors such as race/ethnicity, urban vs rural residence, immigration status, and social class.
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Affiliation(s)
- Nazeeba Siddika
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA
| | - Shengfang Song
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA
| | - Claire E Margerison
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA
| | - Michael R Kramer
- Department of Epidemiology, Emory University, 1518 Clifton Rd. NE, Atlanta, GA, 30322, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA.
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15
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Zhu Z, Yang Z, Yu L, Xu L, Wu Y, Zhang X, Shen P, Lin H, Shui L, Tang M, Jin M, Wang J, Chen K. Residential greenness, air pollution and incident neurodegenerative disease: A cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:163173. [PMID: 37003317 DOI: 10.1016/j.scitotenv.2023.163173] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/18/2023] [Accepted: 03/26/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Neurodegenerative disease has a great adverse impact on population's death and disability worldwide. However, the association of air pollution and residential greenness with neurodegenerative disease and their potential mechanisms still remain uncertain. METHODS We used data from a population-based prospective cohort in Ningbo, China. Exposure to PM2.5, PM10 and NO2 were assessed by land-use regression (LUR) models and residential greenness was estimated by Normalized Difference Vegetation Index (NDVI). Our primary outcomes were all neurodegenerative diseases, Parkinson's disease (PD) and Alzheimer's disease (AD). Cox proportional hazards regression models were used to examine the association of air pollution and residential greenness with risk of incident neurodegenerative disease. Furthermore, we also explored the potential mediation relationship and effect modification between greenness and air pollutants. RESULTS During the follow-up period, we identified a total of 617 incident neurodegenerative diseases, 301 PD and 182 AD. In single-exposure models, PM2.5 was positively associated with all outcomes (e.g. AD hazard ratio (HR): 1.41, 95 % confidence interval (CI): 1.09-1.84, per interquartile range (IQR) increment), whereas residential greenness showed protective effects (e.g. neurodegenerative disease, HR: 0.82, 95%CI: 0.75-0.90, per IQR increment for NDVI in 1000 m buffer). NO2 was positively associated with risk of neurodegenerative disease and PM10 was associated with neurodegenerative disease and AD. In two-exposure models, after adjustment for PM2.5, the association for greenness generally attenuated towards null. Moreover, we identified the significant modification effect of greenness on PM2.5 on additive and multiplicative scales. CONCLUSION In this prospective study, we found that exposure to higher residential greenness and lower concentrations of particulate matter were associated with lower risk of neurodegenerative disease, PD and AD. Residential greenness could modify the association of PM2.5 with neurodegenerative disease.
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Affiliation(s)
- Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Xinhan Zhang
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China.
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
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16
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Yu W, Liu Z, La Y, Feng C, Yu B, Wang Q, Liu M, Li Z, Feng Y, Ciren L, Zeng Q, Zhou J, Zhao X, Jia P, Yang S. Associations between residential greenness and the predicted 10-year risk for atherosclerosis cardiovascular disease among Chinese adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 868:161643. [PMID: 36657685 DOI: 10.1016/j.scitotenv.2023.161643] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 01/12/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Exposure to build environments, especially residential greenness, offers benefits to reduce the development of atherosclerotic cardiovascular diseases (ASCVD). The 10-year ASCVD risk is a useful indicator for long-term ASCVD risk, but the evidence on the association and potential pathway of residential greenness in mitigating its development remains unclear. OBJECTIVES This study aimed to investigate the associations between residential greenness and the 10-year predicted ASCVD risks, and potentially mediation effect on this association by air pollution, body mass index (BMI) and physical activity (PA). METHODS The baseline of the China Multi-Ethnic Cohort (CMEC) study, enrolling 99,556 adults during 2018-2019, was used in this cross-sectional study. The participants' 10-year ASCVD risks were predicted as low-, moderate-, and high-risk groups, based on the six risk factors: age, smoking, hypertension, low-density lipoprotein cholesterol (LDL-C), high high-density lipoprotein cholesterol (HDL-C), and high total cholesterol (TC). The 3-year mean value within the circular buffer of 500 m and 1000 m of Enhanced Vegetation Index (EVI500m and EVI1000m) were used to assess greenness exposure. Multiple logistic regression was used to evaluate the association between residential greenness and the 10-year ASCVD risks. Stratified analyses by sex, age and smoking status were performed to identify susceptible populations. Causal mediation analysis was used to explore the mediation effects of air pollution, BMI and PA. RESULTS A total of 75,975 participants were included, of which 17.9 % (n = 13,614) and 5.6 % (n = 4253) had the moderate and high 10-year ASCVD risks, respectively. Compared to the low-risk group, each interquartile increase in EVI500m and EVI1000m reduced the ASCVD risk of the moderate-risk group by 4 % (OR = 0.96 [0.94, 0.98]) and 4 % (OR = 0.96 [0.94, 0.98]), respectively; and reduced the risk of the high-risk group by 8 % (OR = 0.92 [0.90, 0.96]) and 7 % (OR = 0.93 [0.90, 0.97]), respectively. However, the increased greenness did not affect the ASCVD risk of the high-risk group when compared to the moderate-risk group. Effects of residential greenness on the ASCVD risk were stronger in women than in men (p < 0.05), and were not observed in those aged ≥55. PA and BMI partially mediated the association between greenness and the 10-year ASCVD risk. CONCLUSIONS ASCVD prevention strategies should be tailored to maximize the effectiveness within the groups with different ASCVD risks, better at early stages when the ASCVD risk is low.
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Affiliation(s)
- Wanqi Yu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhu Liu
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Yang La
- School of Medicine, Tibet University, Tibet, China
| | - Chuanteng Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Institute for Disaster Management and Reconstruction, Sichuan University-The Hongkong Polytechnic University, Chengdu, China
| | - Bing Yu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; Institute for Disaster Management and Reconstruction, Sichuan University-The Hongkong Polytechnic University, Chengdu, China
| | - Qinjian Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Meijing Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhifeng Li
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Yuemei Feng
- School of Public Health, Kunming Medical University, Kunming, China
| | - Laba Ciren
- Tibet Center for Disease Control and Prevention, Tibet, China
| | - Qibing Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Junmin Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; Hubei Luojia Laboratory, Wuhan, China; School of Public Health, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China.
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Brousmiche D, Lanier C, Cuny D, Frevent C, Genin M, Blanc-Garin C, Amouyel P, Deram A, Occelli F, Meirhaeghe A. How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease? THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161563. [PMID: 36640871 DOI: 10.1016/j.scitotenv.2023.161563] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/08/2023] [Accepted: 01/08/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Cardiovascular diseases remain the leading cause of death and disabilities worldwide, with coronary heart diseases being the most frequently diagnosed. Their multifactorial etiology involves individual, behavioral and territorial determinants, and thus requires the implementation of multidimensional approaches to assess links between territorial characteristics and the incidence of coronary heart diseases. CONTEXT AND OBJECTIVES This study was carried out in a densely populated area located in the north of France with multiple sources of pollutants. The aim of this research was therefore to establish complex territorial profiles that have been characterized by the standardized incidence, thereby identifying the influences of determinants that can be related to a beneficial or a deleterious effect on cardiovascular health. METHODS Forty-four variables related to economic, social, health, environment and services dimensions with an established or suspected impact on cardiovascular health were used to describe the multidimensional characteristics involved in cardiovascular health. RESULTS Three complex territorial profiles have been highlighted and characterized by the standardized incidence rate (SIR) of coronary heart diseases after adjustment for age and gender. Profile 1 was characterized by an SIR of 0.895 (sd: 0.143) and a higher number of determinants that revealed favorable territorial conditions. Profiles 2 and 3 were characterized by SIRs of respectively 1.225 (sd: 0.242) and 1.119 (sd: 0.273). Territorial characteristics among these profiles of over-incidence were nevertheless dissimilar. Profile 2 revealed higher deprivation, lower vegetation and lower atmospheric pollution, while profile 3 displayed a rather privileged population with contrasted territorial conditions. CONCLUSION This methodology permitted the characterization of the multidimensional determinants involved in cardiovascular health, whether they have a negative or a positive impact, and could provide stakeholders with a diagnostic tool to implement contextualized public health policies to prevent coronary heart diseases.
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Affiliation(s)
- Delphine Brousmiche
- Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France; Association pour la Prévention de la Pollution Atmosphérique, F-59120 Loos, France.
| | - Caroline Lanier
- Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France; Univ. Lille, UFR3S-Faculté d'Ingénierie et Management de la Santé (ILIS), F-59000 Lille, France
| | - Damien Cuny
- Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France; Univ. Lille, UFR3S-Faculté de Pharmacie de Lille - LSVF, F-59000 Lille, France
| | - Camille Frevent
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Evaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
| | - Michael Genin
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Evaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France
| | - Carine Blanc-Garin
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, Inserm UMR1167 RID-AGE (Risk Factors and Molecular Determinants of Aging-Related Diseases), F-59000 Lille, France
| | - Philippe Amouyel
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, Inserm UMR1167 RID-AGE (Risk Factors and Molecular Determinants of Aging-Related Diseases), F-59000 Lille, France
| | - Annabelle Deram
- Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France; Univ. Lille, UFR3S-Faculté d'Ingénierie et Management de la Santé (ILIS), F-59000 Lille, France
| | - Florent Occelli
- Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France; Univ. Lille, UFR3S-Faculté d'Ingénierie et Management de la Santé (ILIS), F-59000 Lille, France
| | - Aline Meirhaeghe
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, Inserm UMR1167 RID-AGE (Risk Factors and Molecular Determinants of Aging-Related Diseases), F-59000 Lille, France
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Willis MD, Wesselink AK, Hystad P, Pescador Jimenez M, Coleman CM, Kirwa K, Hatch EE, Wise LA. Associations between Residential Greenspace and Fecundability in a North American Preconception Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:47012. [PMID: 37098782 PMCID: PMC10132140 DOI: 10.1289/ehp10648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/16/2022] [Accepted: 03/13/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Residential green space can have positive physiological effects on human health through various mechanisms, including reducing stress and/or depression or facilitating physical activity. Although green space has been consistently associated with improved birth outcomes in several studies, there has been limited study of its effect on other reproductive outcomes, including fertility. OBJECTIVE We examined associations between residential green space and fecundability, the per-cycle probability of conception. METHODS We analyzed data from 8,563 female participants enrolled between 2013 and 2019 in Pregnancy Study Online (PRESTO), a prospective preconception cohort study of North American couples attempting conception. Participants completed a baseline questionnaire on sociodemographic, behavioral, and reproductive factors, and bimonthly follow-up questionnaires for up to 12 months to ascertain pregnancies. Using geocoded addresses, we calculated residential green space exposure using the Normalized Difference Vegetation Index (NDVI) within 50-, 100-, 250-, and 500 -m buffers across multiple temporal scales: annual maximum, seasonal maximum, and seasonal mean. We used proportional probabilities regression models to estimate fecundability ratios (FRs), adjusting for sociodemographic, behavioral, and neighborhood characteristics. We also evaluated the extent to which associations were mediated by reductions in perceived stress or depressive symptoms and increased physical activity. RESULTS When comparing the highest (≥ 0.8 ) with the lowest (< 0.2 ) NDVI exposures within 50 m , we observed positive associations in the annual maximum NDVI [FR: 1.33; 95% confidence interval (CI): 1.06, 1.67] and seasonal maximum NDVI (FR: 1.19; 95% CI: 1.00, 1.41) models, but little association in the seasonal mean NDVI models (FR: 0.98; 95% CI: 0.73, 1.30). Restricted cubic splines showed evidence of nonlinearity in this association. Results were similar across buffer distances. Perceived stress, depressive symptoms, and physical activity explained ≤ 5 : 0 % of mediation across all NDVI metrics. DISCUSSION In this cohort, greater residential green space was associated with a modest increase in fecundability. https://doi.org/10.1289/EHP10648.
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Affiliation(s)
- Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Amelia K. Wesselink
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Marcia Pescador Jimenez
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Chad M. Coleman
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, Massachusetts, USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Lauren A. Wise
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts, USA
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19
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Edwards JR, Gotschall JW, Clougherty JE, Schinasi LH. Associations of greenspace use and proximity with self-reported physical and mental health outcomes during the COVID-19 pandemic. PLoS One 2023; 18:e0280837. [PMID: 36857353 PMCID: PMC9977027 DOI: 10.1371/journal.pone.0280837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 12/12/2022] [Indexed: 03/02/2023] Open
Abstract
Research has shown that the COVID-19 pandemic affected individual's mental and physical health. The aim of this study was to estimate associations between greenspace use and proximity with perceived mental and physical health during the COVID-19 pandemic. We surveyed metropolitan Philadelphia residents, October 20-December 1, 2020, about walking time to the nearest greenspace from their home, frequency of greenspace use in the past 30 days, change in frequency of greenspace use during the COVID-19 pandemic, and perceived physical and mental health outcomes. We ran unadjusted and adjusted log-binomial regression models to derive Risk Ratio (RR) and 95% Confidence Intervals (CI) estimates of associations of loneliness, physical and mental health outcomes with: (1) self-reported walking time to nearest greenspace; (2) reported greenspace use frequency; and (3) changes in greenspace use frequency. Of 485 survey participants, 244 (51.4%) reported feeling lonelier, 147 (31.37%) reported higher perceived stress, 261 (54.9%) reported worsened mental health, and 137 (28.7%) reported worsened physical health during vs. before the start of pandemic-restrictions in mid-March of 2020. After adjustment for gender, age, and change in financial status, RR estimates suggested modest protective associations between visiting greenspaces more frequently during vs. before the pandemic and worsened mental (RR: 0.84, 95% CI: 0.70-1.00), and physical health (RR 0.77, 95% CI: 0.56-1.10), and loneliness (RR: 0.91, 95% CI: 0.75-1.1) and perceived stress (RR 0.83, 95% CI: 0.61-1.13). Shorter walking distances to the nearest greenspace were associated with reduced risk of reporting worsened physical health and higher perceived stress; however, living shorter walking distances from greenspace were not associated with protection against worsened mental health or loneliness. These results suggest that active greenspace use may provide mental and physical health protection, particularly during a stressful public health crisis.
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Affiliation(s)
- Janelle R. Edwards
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
- * E-mail:
| | - Jeromy W. Gotschall
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jane E. Clougherty
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
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20
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Yu Z, Feng Y, Chen Y, Zhang X, Zhao X, Chang H, Zhang J, Gao Z, Zhang H, Huang C. Green space, air pollution and gestational diabetes mellitus: A retrospective cohort study in central China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114457. [PMID: 38321676 DOI: 10.1016/j.ecoenv.2022.114457] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/08/2022] [Accepted: 12/19/2022] [Indexed: 02/08/2024]
Abstract
Emerging evidence suggests residential surrounding green space is beneficial for human health. The association between green space and GDM showed inconsistent results, and potential effect modification of green space with air pollution is still unclear. This study aims to evaluate the association between green space and GDM, and further explore potential interaction and medication effects. Participants were recruited from a retrospective cohort study between 2015 and 2020 in Henan, China. Residential green space based on normalized difference vegetation index (NDVI) and air pollution exposure were estimated using spatial-statistical models. Multivariate logistic regression was applied to evaluate the association between per 0.1 unit increase in NDVI with 4 buffer sizes (250 m, 500 m, 1000 m, 2000 m) and GDM. We examined potential interaction of green space and air pollutants on GDM. Mediating effects of air pollution associated with green space exposure on GDM were also investigated by causal mediation analyses. A total of 46,665 eligible pregnant women were identified. There were 4092 (8.8 %) women diagnosed with GDM according to the IADPSG criteria. We found that per 0.1-unit increment in NDVI250 m, NDVI500 m, NDVI1000 m and NDVI2000 m in second trimester were associated with the decreased risk of GDM, with adjusted OR of 0.921(95 %CI: 0.890-0.953), 0.922 (95 %CI: 0.891-0.953), 0.921 (95 %CI: 0.892-0.952) and 0.921 (95 %CI: 0.892-0.951), respectively. We identified significant interactions between second trimester PM2.5 and O3 exposure and NDVI for GDM (Pinteraction < 0.001). The causal mediation analysis showed that PM2.5 mediated approximately 2.5-5.5 % of the association between green space and GDM, while the estimated mediating effect of O3 was approximately 30.1-38.5 %. In conclusion, our study indicates that residential green space was associated with a reduced risk of GDM, particularly second trimester. Green space may benefit to GDM partly mediated by a reduction in PM2.5 and O3.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, China; NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Yang Feng
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yao Chen
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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21
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Low-dose ionizing radiation and adverse birth outcomes: a systematic review and meta-analysis. Int Arch Occup Environ Health 2023; 96:77-92. [PMID: 35913560 PMCID: PMC9823032 DOI: 10.1007/s00420-022-01911-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/05/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Ionizing radiation is a human carcinogen, and there is evidence that exposure to low-dose ionizing radiation increases the risk of adverse birth outcomes. METHODS We undertook a systematic review and meta-analysis to synthesize the research of maternal and paternal exposure to low-dose radiation on low birth weight, miscarriage, pre-term delivery, and stillbirth. Our literature search used four databases (PubMed, Environmental Index, GeoBASE, and the Cumulative Index to Nursing and Allied Health Literature). We included study populations exposed to occupational and medical sources of radiation, nuclear disasters, and those living near nuclear power plants. We considered papers published between January 1st, 1990, and June 30th, 2021. The quality of the studies was assessed, and we performed meta-analysis using random effects models to generate summary measures of association. Forest plots were created to assess the heterogeneity in these measures, and funnel plots were used to assess publication bias. RESULTS Overall, 26 studies were identified, and these yielded measures of association from 10, 11, and 8 studies for low birth weight, miscarriage, and stillbirth outcomes, respectively. It was not possible to perform meta-analyses for pre-term delivery due to a small number of studies. The meta-analysis summary relative risk (RR) of having a low-birth-weight infant among those ever exposed to radiation relative to those unexposed, after adjusting for publication bias, was 1.29 (95% CI 0.97-1.73). The corresponding risk estimates for miscarriage and stillbirth were 1.15 (95% CI 1.02-1.30), and 1.19 (95% CI 0.98-1.45), respectively. CONCLUSIONS Our findings suggest that ionizing radiation increases the risk of adverse birth outcomes. Future work should strive to provide data needed to better understand the shape of the exposure-response curve.
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Ortega-García JA, Sánchez-Sauco MF, Zafra-Rodríguez JA, Cabrera-Rivera LT, Díaz-Martínez F, Llegus-Santiago EM, Delgado-Marín JL, Orenes-Piñero E, Kloosterman N, Bach A, Ojeda-Sánchez C, Ramis R. Subjective well-being, happiness, and environmental health factors related to women planning a pregnancy or pregnant, using mobile health intervention. Digit Health 2023; 9:20552076231177146. [PMID: 37284011 PMCID: PMC10240876 DOI: 10.1177/20552076231177146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 05/04/2023] [Indexed: 06/08/2023] Open
Abstract
Objectives To compare the environmental health results in women trying to get pregnant or pregnant using a mobile health application (Green Page) through healthcare professionals or self-completed by women, and to explore the relationship between the subjective well-being of these women with their lifestyles and environmental factors. Methods A descriptive study with mixed methods was conducted in 2018. A mobile health survey was used in two phases. Phase 1 was a cross-sectional study through professionals (n = 1100) followed by phase 2, a convenience sampling through women's self-reporting (n = 3425). A personalized report was downloadable with health recommendations for the well-being of the mother and child. Results Of the 3205 participants (mean age = 33 years, SD = 0.2 years), 1840 were planning a pregnancy and 1365 were pregnant. One in five pregnant women had a low level of happiness. Globally, subjective well-being and happiness were found to be negatively associated with lack of contact with nature, sedentary lifestyle, excess weight, environmental exposure, and older age in pregnancy. Precisely 45%, 60%, and 14% of women were exposed to tobacco, alcohol, and illegal drugs, respectively. The women self-reported levels of risk factors higher than when the tool was used by or through professionals. Conclusions The use of mobile health interventions focused on environmental health during planning or pregnancy periods could help improve the quality of healthcare and foster greater involvement of women in their self-care process, thus promoting empowerment, healthier environments, and lifestyles. Ensuring equity of access and data protection are global challenges to be addressed.
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Affiliation(s)
- Juan Antonio Ortega-García
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Pediatric Environmental Health Speciality Unit (PEHSU), Department of Pediatrics, Clinical University Hospital Virgen of Arrixaca, El Palmar, Murcia, Spain
| | - Miguel Felipe Sánchez-Sauco
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Pediatric Environmental Health Speciality Unit (PEHSU), Department of Pediatrics, Clinical University Hospital Virgen of Arrixaca, El Palmar, Murcia, Spain
| | - José Alberto Zafra-Rodríguez
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- TICARUM, University of Murcia, Murcia, Spain
| | - Laura Teresa Cabrera-Rivera
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Department of Environmental Health, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- International Exchange Program for Minority Student, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Francisco Díaz-Martínez
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Pediatric Environmental Health Speciality Unit (PEHSU), Department of Pediatrics, Clinical University Hospital Virgen of Arrixaca, El Palmar, Murcia, Spain
| | - Eduardo Manuel Llegus-Santiago
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Department of Environmental Health, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- International Exchange Program for Minority Student, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Juan Luis Delgado-Marín
- Department of Obstetrics and Gynecology, Hospital Clínico Universitario Virgen Arrixaca, Fetal Medicine Unit Murcia, IMIB Arrixaca, Región de Murcia, Spain
| | - Esteban Orenes-Piñero
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Departament of Biochemistry and Molecular Biology, University of Murcia, Murcia, Spain
| | - Nicole Kloosterman
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- MUSC Health University Medical Center, Charleston, SC, USA
| | - Albert Bach
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Environment and Human Health Laboratory (EH2 Lab), Forest Science and Technology Center of Catalonia, Solsona, Spain
| | - Carlos Ojeda-Sánchez
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Department of Preventive Medicine, Hospital General Universitario de Guadalajara, Guadalajara, Spain
| | - Rebecca Ramis
- Department of Pediatrics, Global Alliance to Renaturalize Child and Adolescent Health (GreenRooting.org), Spanish Association of Pediatrics, IMIB Arrixaca, University of Murcia, Murcia, Spain
- Cancer and Environmental Epidemiology Unit, National Epidemiology Centre, Carlos III Health Institute and Centre for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública−CIBERESP), Madrid, Spain
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23
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Gailey S. Moving to greener pastures: Health selection into neighborhood green space among a highly mobile and diverse population in California. Soc Sci Med 2022; 315:115411. [PMID: 36399985 PMCID: PMC10224763 DOI: 10.1016/j.socscimed.2022.115411] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/11/2022] [Accepted: 09/27/2022] [Indexed: 01/26/2023]
Abstract
Global urbanization has sparked substantial environmental, public health, and social science research on the importance of conserving and propagating natural environments. A large subset of this work focuses on the benefits of green space for health. An often-overlooked methodological concern when examining relations between green space and health, however, involves residential self-selection. The selective movement of individuals into greener neighborhoods on the basis of preexisting health and correlated social factors may bias associations, particularly in cross-sectional studies, which predominate existing green space/health research. To quantify the extent of residential self-selection bias, this study used a longitudinal sibling comparison design with repeated individual and neighborhood measures to estimate associations between pre-move health factors, including maternal body mass index (BMI) and infant birthweight, and post-move neighborhood green space in a residentially mobile sample of mothers in California, 2007 to 2015 (n = 288,333). Results show that better health before moving predicted higher levels of neighborhood green space after moving, providing evidence of health selection. Findings also indicate some support for differential health selection into neighborhood green space by race/ethnicity, including that evidence of selection emerges for white and Hispanic, but not Black, mothers. However, weak relations between pre-move individual factors and post-move neighborhood green space across analyses suggest that potential bias due to residential self-selection appears relatively minimal in a large, diverse, and highly mobile sample of families in California. Findings support calls to increase green space in historically marginalized neighborhoods as a means to promote environmental and health equity.
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Affiliation(s)
- Samantha Gailey
- Minnesota Population Center, University of Minnesota, Twin Cities, USA.
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Howell NA, Booth GL. The Weight of Place: Built Environment Correlates of Obesity and Diabetes. Endocr Rev 2022; 43:966-983. [PMID: 35201344 PMCID: PMC9695105 DOI: 10.1210/endrev/bnac005] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Indexed: 11/19/2022]
Abstract
In recent decades, the prevalence of obesity and diabetes has risen substantially in North America and worldwide. To address these dual epidemics, researchers and policymakers alike have been searching for effective means to promote healthy lifestyles at a population level. As a consequence, there has been a proliferation of research examining how the "built" environment in which we live influences physical activity levels, by promoting active forms of transportation, such as walking and cycling, over passive ones, such as car use. Shifting the transportation choices of local residents may mean that more members of the population can participate in physical activity during their daily routine without structured exercise programs. Increasingly, this line of research has considered the downstream metabolic consequences of the environment in which we live, raising the possibility that "healthier" community designs could help mitigate the rise in obesity and diabetes prevalence. This review discusses the evidence examining the relationship between the built environment, physical activity, and obesity-related diseases. We also consider how other environmental factors may interact with the built environment to influence metabolic health, highlighting challenges in understanding causal relationships in this area of research.
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Affiliation(s)
| | - Gillian L Booth
- Department of Medicine, University of Toronto, Toronto, ON, Canada.,MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,ICES, Toronto, ON, Canada
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25
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Larkin A, Krishna A, Chen L, Amram O, Avery AR, Duncan GE, Hystad P. Measuring and modelling perceptions of the built environment for epidemiological research using crowd-sourcing and image-based deep learning models. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2022; 32:892-899. [PMID: 36369372 PMCID: PMC9650176 DOI: 10.1038/s41370-022-00489-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Perceptions of the built environment, such as nature quality, beauty, relaxation, and safety, may be key factors linking the built environment to human health. However, few studies have examined these types of perceptions due to the difficulty in quantifying them objectively in large populations. OBJECTIVE To measure and predict perceptions of the built environment from street-view images using crowd-sourced methods and deep learning models for application in epidemiologic studies. METHODS We used the Amazon Mechanical-Turk crowdsourcing platform where participants compared two street-view images and quantified perceptions of nature quality, beauty, relaxation, and safety. We optimized street-view image sampling methods to improve the quality and resulting perception data specific to participants enrolled in the Washington State Twin Registry (WSTR) health study. We used a transfer learning approach to train deep learning models by leveraging existing image perception data from the PlacePulse 2.0 dataset, which includes 1.1 million image comparisons, and refining based on new WSTR perception data. Resulting models were applied to WSTR addresses to estimate exposures and evaluate associations with traditional built environment measures. RESULTS We collected over 36,000 image comparisons and calculated perception measures for each image. Our final deep learning models explained 77.6% of nature quality, 68.1% of beauty, 72.0% of relaxation, and 64.7% of safety in pairwise image comparisons. Applying transfer learning with the new perception labels specific to the WSTR yielded an average improvement of 3.8% for model performance. Perception measures were weakly to moderately correlated with traditional built environment exposures for WSTR participant addresses; for example, nature quality and NDVI (r = 0.55), neighborhood area deprivation (r = -0.16), and walkability (r = -0.20), respectively. SIGNIFICANCE We were able to measure and model perceptions of the built environment optimized for a specific health study. Future applications will examine associations between these exposure measures and mental health in the WSTR. IMPACT STATEMENT Built environments influence health through complex pathways. Perceptions of nature quality, beauty, relaxation and safety may be particularly import for understanding these linkages, but few studies to-date have examined these perceptions objectively for large populations. For quantitative research, an exposure measure must be reproducible, accurate, and precise--here we work to develop such measures for perceptions of the urban environment. We created crowd-sourced and image-based deep learning methods that were able to measure and model these perceptions. Future applications will apply these models to examine associations with mental health in the Washington State Twin Registry.
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Affiliation(s)
- Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Ajay Krishna
- College of Engineering, Oregon State University, Corvallis, OR, USA
| | - Lizhong Chen
- College of Engineering, Oregon State University, Corvallis, OR, USA
| | - Ofer Amram
- Elson S. Floyd College of Medicine, Washington State University, Health Sciences Spokane, Spokane, WA, USA
| | - Ally R Avery
- Elson S. Floyd College of Medicine, Washington State University, Health Sciences Spokane, Spokane, WA, USA
| | - Glen E Duncan
- Elson S. Floyd College of Medicine, Washington State University, Health Sciences Spokane, Spokane, WA, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
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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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Mehrabadi S, Miri M, Najafi ML, Ghalenovi M, Adli A, Pajohanfar NS, Ambrós A, Dovlatabadi A, Estiri EH, Abroudi M, Alonso L, Bazghandi MS, Dadvand P. Green space exposure during pregnancy and umbilical cord blood levels of liver enzymes. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:68432-68440. [PMID: 35545744 DOI: 10.1007/s11356-022-20568-5] [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: 12/23/2021] [Accepted: 04/28/2022] [Indexed: 06/15/2023]
Abstract
Evidence has suggested better pregnancy outcomes due to exposure to greenspace; however, the studies on such an association with the level of liver enzymes in the cord blood are still nonexistent. Hence, this study investigated the relationship between exposure to greenspace during the entire pregnancy and gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) levels in cord blood samples. We selected 150 pregnant women from our pregnancy cohort in Sabzevar, Iran (2018). Greenspace exposure was characterized based on (i) residential distance to green space, (ii) time spent in public/private green spaces, (iii) residential surrounding greenspace, (iv) visual access to greenspace, and (v) number of indoor natural pot plants at home. We developed linear regression models to investigate the adjusted associations of greenspace exposure with enzyme levels. Each one interquartile range (IQR) increase in the residential surrounding greenspace (100 m buffer) was related to a reduction of -12.58 (U/L) (95% CI -22.86, -2.29), -3.35 (U/L) (95% CI -5.50, -1.20), and -0.57 (U/L) (95% CI -1.12, -0.02) in the levels of GGT, AST, and ALT, respectively. Moreover, a similar association was observed for the time the participants spent in green spaces. A decrease in the residential distance to large green spaces was related with lower cord blood levels of AST, ALT, and GGT. Having a window with greenspace view at home was significantly related to lower AST level. The results for the indoor plant pots were not conclusive. Our findings suggested an inverse relationship between greenspace exposure during pregnancy and cord blood levels of liver enzymes. Further studies in other settings and populations are needed to confirm our findings.
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Affiliation(s)
- Saide Mehrabadi
- Department of Midwifery, School of Nursing, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Mohammad Miri
- Non-Communicable Diseases Research Center, Department of Environmental Health, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
| | - Moslem Lari Najafi
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Mina Ghalenovi
- Department of Midwifery, School of Nursing, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Abolfazl Adli
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Nasim Sadat Pajohanfar
- Department of Midwifery, School of Nursing, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Albert Ambrós
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Afishin Dovlatabadi
- Non-Communicable Diseases Research Center, Department of Environmental Health, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Elahe Hasannejad Estiri
- Non-Communicable Diseases Research Center, Department of Environmental Health, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Mina Abroudi
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Lucia Alonso
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Malihe Sadat Bazghandi
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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28
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Tian Y, Liu F, Jim CY, Wang T, Luan J, Yan M. Effects of Self-Rated Health Status on Residents' Social-Benefit Perceptions of Urban Green Space. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10134. [PMID: 36011772 PMCID: PMC9408625 DOI: 10.3390/ijerph191610134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
Urban green spaces (UGS) provide many social benefits and improves residents' wellbeing. Studying residents' perceptions of UGS's social benefits and driving factors could promote public health and environmental justice. A questionnaire survey of 432 Beijing residents and statistical tests assessed the impacts of residents' living environments and self-rated health status on UGS perceptions. The results showed: (1) perceptions of UGS' physical health benefits were subdued, with an inclination towards other social benefits. Respondents more highly perceived accelerating patient recovery and reducing morbidity and mortality rates. Perceptions of bearing larger-head babies with higher weight were relatively low. For other social benefits, perceptions of improving the environment and life quality were higher, but reducing anger outbursts and resolving conflicts were lower. (2) Childhood living environments did not affect perceptions of social benefits, but current living environments did. Suburb residents understood reducing pain-relief medication demands and bearing larger-head babies better than city residents. City residents understood UGS' investments considerable and sustained returns better than village residents. City residents agreed with accelerating patient recovery higher than village ones. (3) Respondents with "poor" self-rated health status had better perceptions of other social benefits. Those with "excellent" ratings did not fully understand UGS' physical health benefits. "Poor" ratings understood improving a city's image and making cities livable and sustainable better than "good" or "fair" ratings. "Excellent" ratings had less understanding of larger-head babies than "good" or "fair" ratings. The study could enhance appreciation of UGS' social benefits to facilitate planning and management to meet residents' expectations.
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Affiliation(s)
- Yuhong Tian
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Fenghua Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Chi Yung Jim
- Department of Social Sciences, Education University of Hong Kong, Tai Po, Hong Kong, China
| | - Tiantian Wang
- School of Environment and Nature Resources, Renmin University of China, Beijing 100872, China
| | - Jingya Luan
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Mengxuan Yan
- State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
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29
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Bereziartua A, Chen J, de Hoogh K, Rodopoulou S, Andersen ZJ, Bellander T, Brandt J, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Arthur Hvidtfeldt U, Verschuren WMM, Jöckel KH, Jørgensen JT, Katsouyanni K, Ketzel M, Hjertager Krog N, Brynedal B, Leander K, Liu S, Ljungman P, Faure E, Magnusson PKE, Nagel G, Pershagen G, Peters A, Raaschou-Nielsen O, Renzi M, Rizzuto D, Samoli E, van der Schouw YT, Schramm S, Severi G, Stafoggia M, Strak M, Sørensen M, Tjønneland A, Weinmayr G, Wolf K, Zitt E, Brunekreef B, Hoek G. Exposure to surrounding greenness and natural-cause and cause-specific mortality in the ELAPSE pooled cohort. ENVIRONMENT INTERNATIONAL 2022; 166:107341. [PMID: 35717714 DOI: 10.1016/j.envint.2022.107341] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/28/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The majority of studies have shown higher greenness exposure associated with reduced mortality risks, but few controlled for spatially correlated air pollution and traffic noise exposures. We aim to address this research gap in the ELAPSE pooled cohort. METHODS Mean Normalized Difference Vegetation Index (NDVI) in a 300-m grid cell and 1-km radius were assigned to participants' baseline home addresses as a measure of surrounding greenness exposure. We used Cox proportional hazards models to estimate the association of NDVI exposure with natural-cause and cause-specific mortality, adjusting for a number of potential confounders including socioeconomic status and lifestyle factors at individual and area-levels. We further assessed the associations between greenness exposure and mortality after adjusting for fine particulate matter (PM2.5), nitrogen dioxide (NO2) and road traffic noise. RESULTS The pooled study population comprised 327,388 individuals who experienced 47,179 natural-cause deaths during 6,374,370 person-years of follow-up. The mean NDVI in the pooled cohort was 0.33 (SD 0.1) and 0.34 (SD 0.1) in the 300-m grid and 1-km buffer. In the main fully adjusted model, 0.1 unit increment of NDVI inside 300-m grid was associated with 5% lower risk of natural-cause mortality (Hazard Ratio (HR) 0.95 (95% CI: 0.94, 0.96)). The associations attenuated after adjustment for air pollution [HR (95% CI): 0.97 (0.96, 0.98) adjusted for PM2.5; 0.98 (0.96, 0.99) adjusted for NO2]. Additional adjustment for traffic noise hardly affected the associations. Consistent results were observed for NDVI within 1-km buffer. After adjustment for air pollution, NDVI was inversely associated with diabetes, respiratory and lung cancer mortality, yet with wider 95% confidence intervals. No association with cardiovascular mortality was found. CONCLUSIONS We found a significant inverse association between surrounding greenness and natural-cause mortality, which remained after adjusting for spatially correlated air pollution and traffic noise.
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Affiliation(s)
- Ainhoa Bereziartua
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Zorana J Andersen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Center for Climate Change, Aarhus University, Denmark.
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, UK.
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Roskilde, Denmark.
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany.
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands and Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
| | - Jeanette T Jørgensen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Environmental Research Group, School of Public Health, Imperial College London, London, UK.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom.
| | - Norun Hjertager Krog
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, Norway.
| | - Boel Brynedal
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Shuo Liu
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Elodie Faure
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy.
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden.
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Germany.
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805 Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy.
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Diet, Genes and Environment (DGE), Denmark.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria.
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
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Donovan GH, Gatziolis D, Derrien M, Michael YL, Prestemon JP, Douwes J. Shortcomings of the normalized difference vegetation index as an exposure metric. NATURE PLANTS 2022; 8:617-622. [PMID: 35697731 DOI: 10.1038/s41477-022-01170-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
The health benefits of exposure to trees and plants is a rapidly expanding field of study. Research has shown that exposure is associated with improvements in a wide range of health outcomes including cardiovascular disease, birth outcomes, respiratory disease, cancer, mental health and all-cause mortality1. One of the challenges that these studies face is characterizing participants' exposure to trees and plants. A common approach is to use the normalized difference vegetation index, a greenness index typically derived from satellite imagery. Reliance on the normalized difference vegetation index is understandable; for decades, the imagery required to calculate the normalized difference vegetation index has been available for the entire Earth's surface and is updated at regular intervals. However, the normalized difference vegetation index may do a poor job of fully characterizing the human experience of being exposed to trees and plants, because scenes with the same normalized difference vegetation index value can appear different to the human eye. We demonstrate this phenomenon by identifying sites in Portland, Oregon that have the same normalized difference vegetation index value as a large, culturally significant elm tree. These sites are strikingly different aesthetically, suggesting that use of the normalized difference vegetation index may lead to exposure misclassification. Where possible, the normalized difference vegetation index should be supplemented with other exposure metrics.
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Affiliation(s)
| | | | - Monika Derrien
- USDA Forest Service, PNW Research Station, Seattle, WA, USA
| | - Yvonne L Michael
- Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Jeffrey P Prestemon
- USDA Forest Service, Southern Research Station, Research Triangle Park, NC, USA
| | - Jeroen Douwes
- Centre for Public Health Research, Massey University, Wellington, New Zealand
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Alnwisi SMM, Chai C, Acharya BK, Qian AM, Zhang S, Zhang Z, Vaughn MG, Xian H, Wang Q, Lin H. Empirical dynamic modeling of the association between ambient PM 2.5 and under-five mortality across 2851 counties in Mainland China, 1999-2012. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 237:113513. [PMID: 35453020 PMCID: PMC9061697 DOI: 10.1016/j.ecoenv.2022.113513] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/01/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Ambient fine particulate matter (PM2.5) pollution has been associated with mortality from various diseases, however, its association with under-five mortality rate (U5MR) has remained largely unknown. METHODS Based on the U5MR data across 2851 counties in Mainland China from 1999 to 2012, we employed approximate Bayesian latent Gaussian models to assess the association between ambient PM2.5 and U5MR at the county level for the whole nation and sub-regions. GDP growth rate, normalized difference vegetation index (NDVI), temperature, and night-time light were included as covariates using a smoothing function. We further implemented an empirical dynamic model (EDM) to explore the potential causal relationship between PM2.5 and U5MR. RESULTS We observed a declining trend in U5MR in most counties throughout the study period. Spatial heterogeneity in U5MR was observed. Nationwide analysis suggested that each 10 µg/m3 increase in annual concentration of PM2.5 was associated with an increase of 1.2 (95% CI: 1.0 - 1.3) per 1000 live births in U5MR. Regional analyses showed that the strongest positive association was located in the Northeastern part of China [1.8 (95% CI: 1.4 - 2.1)]. The EDM showed a significant causal association between PM2.5 and U5MR, with an embedding dimension of 5 and 7, and nonlinear values θ of 4 and 6, respectively. CONCLUSION China exhibited a downward trend in U5MR from 1999 to 2012, with spatial heterogeneity observed across the country. Our analysis reveals a positive association between PM2.5 and U5MR, which may support a causal relationship.
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Affiliation(s)
- Sameh M M Alnwisi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chengwei Chai
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China
| | - Bipin Kumar Acharya
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Aaron M Qian
- Department of Psychology, College of Arts and Sciences Saint Louis University, 3700 Lindell Boulevard, Saint Louis, MO 63108, USA
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, Saint Louis, MO 63103, USA
| | - Hong Xian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Qinzhou Wang
- Research Institute of Neuromuscular and Neurodegenerative Diseases and Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Abraham Cottagiri S, Villeneuve PJ, Raina P, Griffith LE, Rainham D, Dales R, Peters CE, Ross NA, Crouse DL. Increased urban greenness associated with improved mental health among middle-aged and older adults of the Canadian Longitudinal Study on Aging (CLSA). ENVIRONMENTAL RESEARCH 2022; 206:112587. [PMID: 34951990 DOI: 10.1016/j.envres.2021.112587] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/10/2021] [Accepted: 12/15/2021] [Indexed: 05/12/2023]
Abstract
OBJECTIVES Some studies suggest that residential surrounding greenness is associated with improved mental health. Few of these studies have focussed on middle-aged and older adults, explored the modifying effects of social determinants of health, or accounted for the extent to which individuals interact with their neighbourhood environments. METHODS We analysed cross-sectional data collected from 26,811 urban participants of the Canadian Longitudinal Study of Aging who were between 45 and 86 years of age. Participants provided details on socioeconomic characteristics, health behaviours, and their frequency of neighbourhood interactions. The Normalized Difference Vegetation Index (NDVI), a measure of greenness, was assigned to participants' residential addresses at a buffer distance of 500 m. Four self-reported measures of mental health were considered: The Center for Epidemiologic Studies Depression Scale (CES-D-10; short scale), past diagnosis of clinical depression, perceptions of mental health, and the Satisfaction with Life Scale (SWLS). Regression models were used to describe associations between greenness and these outcomes, and spline models were fit to characterize the exposure-response function between greenness and CES-D-10 scores. Stratified analyses evaluated whether associations varied by sociodemographic status. RESULTS In adjusted models, we observed a 5% (Odds Ratio (OR) = 0.95; 95% CI = 0.90, 0.99) reduced odds of depressive symptoms in relation to an interquartile range increase of NDVI (0.06) within a 500 m buffer of the participant's residence. Similarly, we found an inverse association with a self-reported clinical diagnosis of depression (OR = 0.97; 95% CI = 0.92-1.01). Increases in surrounding greenness were associated with improved perceptions of mental health, and the SWLS. Our spline analyses found that beneficial effects between greenness and the CES-D-10 were strongest among those of lower income. CONCLUSIONS These findings suggest that residential greenness has mental health benefits, and that interventions to increase urban greenness can help reduce social inequalities in mental health.
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Affiliation(s)
| | - Paul J Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, ON, K1S 5B6, Canada; Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, H3A 1A2, Canada.
| | - Parminder Raina
- Department of Health Research Methods, Evidence, and Impact McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada; Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada; McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.
| | - Lauren E Griffith
- Department of Health Research Methods, Evidence, and Impact McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada; Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada; McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.
| | - Daniel Rainham
- School of Health and Human Performance, Dalhousie University, 6230 South St, Halifax, NS, B3H 4R2, Canada.
| | - Robert Dales
- University of Ottawa and Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON, K1H 8L6, Canada.
| | - Cheryl E Peters
- University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada; Cancer Epidemiology and Prevention Research, Alberta Health Services. 515 - 2 St SW, Calgary, T2S3C3, Canada.
| | - Nancy A Ross
- Department of Geography, McGill University, Montreal, Quebec, H3A 0B9, Canada.
| | - Daniel L Crouse
- Health Effects Institute, 75 Federal Street, Suite 1400, Boston, MA, 02110-1817, USA.
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Green Walkability and Physical Activity in UK Biobank: A Cross-Sectional Analysis of Adults in Greater London. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074247. [PMID: 35409927 PMCID: PMC8998308 DOI: 10.3390/ijerph19074247] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/24/2022] [Accepted: 04/01/2022] [Indexed: 02/04/2023]
Abstract
Urban greenspace provides opportunities for outdoor exercise and may increase physical activity, with accompanying health benefits. Areas suitable for walking (walkability) are also associated with increased physical activity, but interactions with greenspace are poorly understood. We investigated associations of walkability and green walkability with physical activity in an urban adult cohort. We used cross-sectional data from Greater London UK Biobank participants (n = 57,726) and assessed walkability along roads and footpaths within 1000 m of their residential addresses. Additionally, we assessed green walkability by integrating trees and low-lying vegetation into the walkability index. Physical activity outcomes included self-reported and accelerometer-measured physical activity and active transport. We assessed associations using log-linear, logistic and linear regression models, adjusted for individual- and area-level confounders. Higher green walkability was associated with favourable International Physical Activity Questionnaire responses and achievement of weekly UK government physical activity guideline recommendations. Participants living in the highest versus lowest quintile of green walkability participated in 2.41 min (95% confidence intervals: 0.22, 4.60) additional minutes of moderate-and-vigorous physical activity per day. Higher walkability and green walkability scores were also associated with choosing active transport modes such as walking and cycling. Our green walkability approach demonstrates the utility in accounting for walkability and greenspace simultaneously to understand the role of the built environment on physical activity.
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Dyer L, Chambers BD, Crear-Perry J, Theall KP, Wallace M. The Index of Concentration at the Extremes (ICE) and Pregnancy-Associated Mortality in Louisiana, 2016-2017. Matern Child Health J 2022; 26:814-822. [PMID: 34148221 PMCID: PMC8684557 DOI: 10.1007/s10995-021-03189-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Social and contextual factors underlying the continually disproportionate and burdensome risk of adverse health outcomes experienced by Black women in the US are underexplored in the literature. The aim of this study was to use an index based on area-level population distributions of race and income to predict risk of death during pregnancy and up to 1 year postpartum among women in Louisiana. METHODS Using vital records data provided by the Louisiana Department of Health 2016-2017 (n = 125,537), a modified Poisson model was fit with generalized estimating equations to examine the risk of pregnancy-associated death associated with census tract-level values of the Index of Concentration at the Extremes (ICE)-grouped by tertile-while adjusting for both individual and tract-level confounders. RESULTS Analyses resulted in an estimated 1.73 (95% CI 1.02-2.93) times increased risk for pregnancy-associated death for those in areas which were characterized by concentrated deprivation (high proportions of Black and low-income residents) relative to those in areas of concentrated privilege (high proportions of white and high-income residents), independent of other factors. CONCLUSIONS FOR PRACTICE In addition to continuing to consider the deeply entrenched racism and economic inequality that shape the experience of pregnancy-associated death, we must also consider their synergistic effect on access to resources, maternal population health, and health inequities.
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Affiliation(s)
- Lauren Dyer
- Department of Social, Behavioral, and Population Sciences, Mary Amelia Women's Center, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., New Orleans, LA, 70112, USA.
| | - Brittany D Chambers
- School of Medicine, Epidemiology and Biostatistics, University of San Francisco, 550 16th St., San Francisco, CA, 94158, USA
| | - Joia Crear-Perry
- National Birth Equity Collaborative, 4747 Earhart Blvd, New Orleans, LA, USA
| | - Katherine P Theall
- Department of Social, Behavioral, and Population Sciences, Mary Amelia Women's Center, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., New Orleans, LA, 70112, USA
| | - Maeve Wallace
- Department of Social, Behavioral, and Population Sciences, Mary Amelia Women's Center, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., New Orleans, LA, 70112, USA
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Zhang L, Shi S, Wu S, Yang Y, Xu J, Zhang Y, Wang Q, Shen H, Zhang Y, Yan D, Peng Z, Liu C, Wang W, Jiang Y, Shi S, Chen R, Kan H, He Y, Meng X, Ma X. Effects of greenness on preterm birth: A national longitudinal study of 3.7 million singleton births. Innovation (N Y) 2022; 3:100241. [PMID: 35492433 PMCID: PMC9046626 DOI: 10.1016/j.xinn.2022.100241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/06/2022] [Indexed: 11/26/2022] Open
Abstract
Exposure to greenness may lead to a wide range of beneficial health outcomes. However, the effects of greenness on preterm birth (PTB) are inconsistent, and limited studies have focused on the subcategories of PTB. A total of 3,751,672 singleton births from a national birth cohort in mainland China were included in this study. Greenness was estimated using the satellite-based Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index with 500-m and 1,000-m buffers around participants’ addresses. The subcategories of PTB (20–36 weeks) included extremely PTB (EPTB, 20–27 weeks), very PTB (VPTB, 28–31 week), and moderate-to-late PTB (MPTB, 32–36 weeks). Gestational age (GA) was included as another birth outcome. We used logistic regression models and multiple linear regression models to analyze these associations throughout the entire pregnancy. We found inverse associations between greenness and PTB and positive associations between greenness and GA. Specifically, an increase of 0.1 NDVI exposure within a 500-m buffer throughout the entire pregnancy was significantly associated with decreases in PTB (odds ratio [OR], 0.930; 95% confidence interval [CI], 0.927–0.932), EPTB (OR, 0.820; 95% CI, 0.801–0.839), VPTB (OR, 0.913; 95% CI, 0.908–0.919), MPTB (OR, 0.934; 95% CI, 0.931–0.936), and an increase in GA (β = 0.050; 95% CI, 0.049–0.051 weeks). These results suggest the potential protective effects of greenness on PTB and its subcategories: MPTB, VPTB, and EPTB in China. A national study with 3.7 million births on greenness-PTB in China Higher greenness was associated with lower risks of PTB and its subcategories PTB of shorter gestational weeks may benefit more from greenness exposure
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Villeneuve PJ, Lam S, Tjepkema M, Pinault L, Crouse DL, Osornio-Vargas AR, Hystad P, Jerrett M, Lavigne E, Stieb DM. Residential proximity to greenness and adverse birth outcomes in urban areas: Findings from a national Canadian population-based study. ENVIRONMENTAL RESEARCH 2022; 204:112344. [PMID: 34742713 DOI: 10.1016/j.envres.2021.112344] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/07/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Over the last decade, several studies have reported that residential proximity to vegetation, or 'greenness', is associated with improved birth outcomes, including for term birth weight (TBW), preterm birth (PTB), and small for gestational age (SGA). However, there remain several uncertainties about these possible benefits including the role of air pollution, and the extent to they are influenced socioeconomic status. METHODS We addressed these gaps using a national population-based study of 2.2 million singleton live births in Canadian metropolitan areas between 1999 and 2008. Exposures to greenness, fine particulate matter (PM2.5), and nitrogen dioxide (NO2) were assigned to infants using the postal code of their mother's residence at the time of birth. The Normalized Difference Vegetation Index (NDVI) was used to characterize greenness, while estimates of ambient PM2.5 and NO2 were estimated using remote sensing, and a national land-use regression surface, respectively. Multivariable regression analysis was performed to describe associations between residential greenness and the birth outcomes. Stratified analyses explored whether these associations were modified by neighbourhood measures of socioeconomic status. RESULTS Mothers who lived in greener areas had a lower risk of low TBW, PTB, and SGA babies. These associations persisted after adjustment for ambient NO2 and PM2.5. Specifically, in fully adjusted models, an interquartile range (IQR = 0.16) increase in the NDVI within a residential buffer of 250 m yielded odds ratios of 0.93 (95% confidence interval (CI): 0.92, 0.94), 0.94 (95% CI: 0.92, 0.95), and 0.94 (95% CI: 0.93, 0.95) for the outcomes of PTB, low TBW, and SGA, respectively. Similarly, an IQR increase in greenness was associated with a 16.3 g (95% CI: 15.3, 17.4) increase in TBW. We found inverse associations between greenness and the occurrence of adverse birth outcomes regardless of the socioeconomic status of the neighbourhood. INTERPRETATION Our findings support the hypothesis that residential greenness contributes to healthier pregnancies, that these associations are independent from exposure to air pollution. , and that proximity to greenness benefits all mothers regardless of socioeconomic status.
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Affiliation(s)
- Paul J Villeneuve
- CHAIM Research Center, Carleton University, Herzberg Building, Room 5413, Ottawa, ON, K1S 5B6, Canada; Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
| | - Sandy Lam
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada
| | | | - Lauren Pinault
- Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
| | | | - Alvaro R Osornio-Vargas
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Eric Lavigne
- Air Health Science Division, Health Canada, Ottawa, Canada
| | - David M Stieb
- School of Epidemiology and Public Health, University of Ottawa, Canada; Environmental Health Science and Research Bureau, Health Canada, Vancouver, Canada
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Peters RL, Sutherland D, Dharmage SC, Lowe AJ, Perrett KP, Tang MLK, Lycett K, Knibbs LD, Koplin JJ, Mavoa S. The association between environmental greenness and the risk of food allergy: A population-based study in Melbourne, Australia. Pediatr Allergy Immunol 2022; 33:e13749. [PMID: 35212044 DOI: 10.1111/pai.13749] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND While exposure to environmental greenness in childhood has shown mixed associations with the development of allergic disease, the relationship with food allergy has not been explored. We investigated the association between exposure to environmental greenness and challenge-confirmed food allergy in a large population-based cohort. METHODS The HealthNuts study recruited 5276 12-month-old infants in Melbourne, Australia, who underwent skin prick testing to peanut, egg, and sesame; infants with a detectable wheal underwent food challenges to determine food allergy status. Environmental greenness was estimated using the normalized difference vegetation index (NDVI) for five buffer zones around the infant's home address: at the home, 100 m, 500 m, 800 m, and 1600 m radial distances. Environmental greenness was categorized into 3 tertiles and mixed effects logistic regression models quantified the association between greenness and the risk of food allergy, adjusting for confounding and accounting for clustering at the neighborhood level. RESULTS NDVI data were available for n = 5097. For most buffer zones, medium and high greenness, compared to low greenness, was associated with an increased risk of peanut allergy (eg, 100 m tertile 2 aOR 1.89 95% CI 1.22-2.95, tertile 3 aOR 1.78 95% CI 1.13-2.82). For egg allergy, the effect sizes were smaller (100 m tertile 2 aOR 1.52 95% CI 1.16-1.97, tertile 3 aOR 1.38 95% CI 1.05-1.82). Socioeconomic status (SES) modified the association between greenness and peanut allergy, but not egg allergy; associations were apparent in the low SES group but not in the high SES group (p for interaction 0.08 at 100 m). Air pollution (PM2.5) also modified the associations between environmental greenness and food allergy, with associations present in high air pollution areas but not low (p for interaction at 100 m 0.05 for peanut and 0.06 for egg allergy.) CONCLUSION: Increased exposure to environmental greenness in the first year of life was associated with an increased risk of food allergy. Increased greenness may correlate with higher pollen levels which may trigger innate immune responses skewing the immune system to the Th2-dependent allergic phenotype; additionally, some pollen and food allergens are cross-reactive. Given the mixed data on greenness and other allergies, the relationship appears complex and may also be influenced by confounding variables outside those that were measured in this study.
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Affiliation(s)
- Rachel L Peters
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia
| | - David Sutherland
- Murdoch Children's Research Institute, Parkville, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia
| | - Shyamali C Dharmage
- Murdoch Children's Research Institute, Parkville, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia
| | - Adrian J Lowe
- Murdoch Children's Research Institute, Parkville, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia
| | - Kirsten P Perrett
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,Department of Allergy and Immunology, Royal Children's Hospital, Parkville, Australia
| | - Mimi L K Tang
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,Department of Allergy and Immunology, Royal Children's Hospital, Parkville, Australia
| | - Kate Lycett
- Murdoch Children's Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,School of Psychology, Deakin University, Burwood, Australia
| | - Luke D Knibbs
- Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Jennifer J Koplin
- Murdoch Children's Research Institute, Parkville, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia
| | - Suzanne Mavoa
- Murdoch Children's Research Institute, Parkville, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia
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Meeker JR, Burris H, Boland MR. An algorithm to identify residential mobility from electronic health-record data. Int J Epidemiol 2022; 50:2048-2057. [PMID: 34999887 DOI: 10.1093/ije/dyab064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 03/09/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Environmental, social and economic exposures can be inferred from address information recorded in an electronic health record. However, these data often contain administrative errors and misspellings. These issues make it challenging to determine whether a patient has moved, which is integral for accurate exposure assessment. We aim to develop an algorithm to identify residential mobility events and avoid exposure misclassification. METHODS At Penn Medicine, we obtained a cohort of 12 147 pregnant patients who delivered between 2013 and 2017. From this cohort, we identified 9959 pregnant patients with address information at both time of delivery and one year prior. We developed an algorithm entitled REMAP (Relocation Event Moving Algorithm for Patients) to identify residential mobility during pregnancy and compared it to using ZIP code differences alone. We assigned an area-deprivation exposure score to each address and assessed how residential mobility changed the deprivation scores. RESULTS To assess the accuracy of our REMAP algorithm, we manually reviewed 3362 addresses and found that REMAP was 95.7% accurate. In this large urban cohort, 41% of patients moved during pregnancy. REMAP outperformed the comparison of ZIP codes alone (82.9%). If residential mobility had not been taken into account, absolute area deprivation would have misclassified 39% of the patients. When setting a threshold of one quartile for misclassification, 24.4% of patients would have been misclassified. CONCLUSIONS Our study tackles an important characterization problem for exposures that are assigned based upon residential addresses. We demonstrate that methods using ZIP code alone are not adequate. REMAP allows address information from electronic health records to be used for accurate exposure assessment and the determination of residential mobility, giving researchers and policy makers more reliable information.
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Affiliation(s)
- Jessica R Meeker
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Heather Burris
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Divsion of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary Regina Boland
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
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Du Z, Yang B, Jalaludin B, Knibbs L, Yu S, Dong G, Hao Y. Association of neighborhood greenness with severity of hand, foot, and mouth disease. BMC Public Health 2022; 22:38. [PMID: 34991526 PMCID: PMC8739664 DOI: 10.1186/s12889-021-12444-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/20/2021] [Indexed: 11/24/2022] Open
Abstract
Background Hand, foot, and mouth disease (HFMD) is an epidemic infectious disease in China. Relationship of neighborhood greenness with human health has been widely studied, yet its association with severe HFMD has not yet been established. Methods Individual HFMD cases that occurred in Guangdong province in 2010 were recruited and were categorised into mild and severe cases. Residential greenness was assessed using global land cover data. We used a case-control design (i.e., severe versus mild cases) with logistic regression models to assess the association between neighborhood greenness and HFMD severity. Effect modification was also examined. Results A total of 131,606 cases were included, of whom 130,840 were mild cases and 766 were severe cases. In an unadjusted model, HFMD severity increased with higher proportion of neighborhood greenness (odds ratio, OR = 1.029, 95%CI: 1.009–1.050). The greenness-HFMD severity association remained (OR = 1.031, 95%CI: 1.006–1.057) after adjusting for population density, demographic variables and climate variables. Both population density (Z = 4.148, P < 0.001) and relative humidity (Z = -4.297, P < 0.001) modified the association between neighborhood greenness and HFMD severity. In the stratified analyses, a protective effect (OR = 0.769, 95%CI: 0.687–0.860) of greenness on HFMD severity were found in the subgroup of population density being lower than and equal to 5 ln(no.)/km2. While in both the subgroups of population density being higher than 5, the greenness had hazard effects (subgroup of > 5 & ≤7: OR = 1.071, 95%CI: 1.024–1.120; subgroup of > 7: OR = 1.065, 95%CI: 1.034–1.097) on HFMD severity. As to relative humidity, statistically significant association between greenness and HFMD severity was only observed in the subgroup of being lower than and equal to 76% (OR = 1.059, 95%CI: 1.023–1.096). Conclusions Our study found that HFMD severity is associated with the neighborhood greenness in Guangdong, China. This study provides evidence on developing a prevention strategy of discouraging the high-risk groups from going to the crowded green spaces during the epidemic period. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-12444-7.
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Affiliation(s)
- Zhicheng Du
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Boyi Yang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bin Jalaludin
- School of Public Health and Community Medicine, University of New South Wales, Kensington, NSW, 1871, Australia
| | - Luke Knibbs
- School of Public Health, The University of Sydney, Camperdown, NSW, 2006, Australia
| | - Shicheng Yu
- Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Guanghui Dong
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yuantao Hao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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LARKIN A, GU X, CHEN L, HYSTAD P. Predicting Perceptions of the Built Environment using GIS, Satellite and Street View Image Approaches. LANDSCAPE AND URBAN PLANNING 2021; 216:104257. [PMID: 34629575 PMCID: PMC8494182 DOI: 10.1016/j.landurbplan.2021.104257] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
BACKGROUND High quality built environments are important for human health and wellbeing. Numerous studies have characterized built environment physical features and environmental exposures, but few have examined urban perceptions at geographic scales needed for population-based research. The degree to which urban perceptions are associated with different environmental features, and traditional environmental exposures such as air pollution or urban green space, is largely unknown. OBJECTIVE To determine built environment factors associated with safety, lively and beauty perceptions across 56 cities. METHODS We examined perceptions collected in the open source Place Pulse 2.0 dataset, which assigned safety, lively and beauty scores to street view images based on crowd-sourced labelling. We derived built environment measures for the locations of these images (110,000 locations across 56 global cities) using GIS and remote sensing datasets as well as street view imagery features (e.g. trees, cars) using deep learning image segmentation. Linear regression models were developed using Lasso penalized variable selection to predict perceptions based on visible (street level images) and GIS/remote sensing built environment variables. RESULTS Population density, impervious surface area, major roads, traffic air pollution, tree cover and Normalized Difference Vegetation Index (NDVI) showed statistically significant differences between high and low safety, lively, and beauty perception locations. Visible street level features explained approximately 18% of the variation in safety, lively, and beauty perceptions, compared to 3-10% explained by GIS/remote sensing. Large differences in prediction were seen when modelling between city (R2 67-81%) versus within city (R2 11-13%) perceptions. Important predictor variables included visible accessibility features (e.g. streetlights, benches) and roads for safety, visible plants and buildings for lively, and visible green space and NDVI for beauty. CONCLUSION Substantial within and between city differences in built environment perceptions exist, which visible street level features and GIS/remote sensing variables only partly explain. This offers a new research avenue to expand built environment measurement methods to include perceptions in addition to physical features.
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Affiliation(s)
- Andrew LARKIN
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR USA, 97331
| | - Xiang GU
- School of Electrical Engineering and Computer Science, Oregon State University
| | - Lizhong CHEN
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR USA, 97331
| | - Perry HYSTAD
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR USA, 97331
- Corresponding Author Contact Information: Perry Hystad, , College of Public Health and Human Sciences, 160 SW 26 St, Corvallis, OR 97331
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Open space and adult's chronic kidney disease, overweight and diabetes in the metropolitan area of New Taipei City. J Formos Med Assoc 2021; 121:1657-1667. [PMID: 34838349 DOI: 10.1016/j.jfma.2021.11.004] [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: 06/01/2021] [Revised: 11/03/2021] [Accepted: 11/08/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND The beneficial effects of urban open green space on residential health had few investigations in Taiwan. METHODS A total of 40,375 participants older than 30-year-old attended the health screening program during 2007-2009 in the Metropolitan area in the New Taipei City. We defined urban open green spaces (UOGS) if land use belongs to parks, green, plaza, public schools and sport venues. Small public urban open space (SPUOS) is defined as UOGS with area less than 1 hector and with at least three of the followings: vegetations, sport facilities and benches. Greenness is defined as the mean Normalized Difference Vegetation Index (NDVI). Air quality was accessed by land use regression model. Logistic regression model was used to calculate odds ratios of diseases for proximity to UOGS or greenness. RESULTS We found that CKD was significantly associated with proximity to SPUOS. No relationship was found between proximity to UOGS or NDVI and overweight or diabetes. The adjusted odds ratio of CKD comparing distance to SPUOS >200 m and ≤200 m was 1.144 (95% CI, 1.059-1.237). The effect of open space on CKD was similar if we incorporated public schools to SPUOS. Greenness was not associated with CKD. Subgroups analyses revealed the effect of SPUOS on CKD was more prominent in health residents, including in those who never smoke, no hypertension, no diabetes and no hypertriglyceridemia. CONCLUSION Proximity to SPUOS or schools is associated with lower risk of CKD for adults living in the Metropolitan area in New Taipei City.
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Zhang L, Chen C, Liu C, Zhang Y, Fang J, Han J, Zhao F, Du P, Wang Q, Wang J, Shi W, Wang W, Shi S, Chen R, Kan H, Meng X, Li T, Shi X. Associations of residential greenness with peripheral and central obesity in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 791:148084. [PMID: 34139501 DOI: 10.1016/j.scitotenv.2021.148084] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/21/2021] [Accepted: 05/24/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Obesity is a well-known risk factor for public health. Recent studies found that greenness exposure may protect against obesity. However, the accumulated evidence on associations of greenness-obesity is inconsistent and most of them are from developed countries. OBJECTIVES This study aimed to evaluate the associations of greenness exposure with indicators of peripheral and central obesity. METHODS This cross-sectional study was based on a Chinese national Sub-Clinical Outcomes of Polluted Air (SCOPA) prospective cohort across 15 provinces, and 5849 participants with average age of 64.7 were included. Surrounding greenness was estimated with the Enhanced Vegetation Index (EVI), which was calculated at each participant's residential addresses within a 250 m buffer. Weight, height and waist circumference (WC) were measured, and body mass index (BMI) and the waist-to-height ratio% (WHtR%) were calculated based on those measurements. The relationships between EVI and obese outcomes were explored using multiple linear regression and logistic regression models. RESULTS Non-linear associations were observed between EVI and obese indicators. Participants living in Quartile 3 benefited more than in Quartile 4 compared to the lowest quartile (Quartile 1) of greenness. For peripheral obesity, participants living in Quartile 3 of EVI250m had 0.86 kg/m2 (β -0.86, 95% CI: -1.10, -0.61) lower BMI, and 46% (OR 0.54, 95% CI: 0.44-0.66) lower odds of peripheral obesity than in Quartile 1. For central obesity, participants living in Quartile 3 of EVI250m had 1.85 cm (β -1.85, 95% CI: -2.54, -1.15) lower waist circumference, 1.12% (β -1.12, 95% CI: -1.56, -0.67) lower waist-to-height ratio% (WHtR%), and 33% (OR 0.67, 95% CI: 0.57-0.78) lower odds of central obesity than in Quartile 1 of EVI250m. CONCLUSIONS Higher levels of greenness were statistically significant associated with lower obesity risk.
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Affiliation(s)
- Lina Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jingxiu Han
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jiaonan Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200032, China.
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Nature-Based Therapies for Sleep Disorders in People Living with Human Immunodeficiency Virus. Nurs Clin North Am 2021; 56:189-202. [PMID: 34023115 DOI: 10.1016/j.cnur.2021.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Following diagnosis of human immunodeficiency virus (HIV), getting adequate sleep may be the farthest thing from the mind of patients or providers. Even further from mind are the potential benefits on both sleep and HIV from nature-based therapy. In developing and developed countries, access to high-quality natural spaces has the potential to support physical and mental health. This article provides a review of sleep disorders, conventional and nature-based therapies, and the potential of nature-based therapy to support the health of people living with HIV through increased restorative sleep and immune function.
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Xiao X, Gao M, Zhou Y, Xu SL, Knibbs LD, Heinrich J, Dharmage SC, Morawska L, Lin S, Jalaludin B, Shen X, Zhou Y, Dong GH. Is greener better? Associations between greenness and birth outcomes in both urban and non-urban settings. Int J Epidemiol 2021; 51:88-98. [PMID: 34406380 DOI: 10.1093/ije/dyab164] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/23/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Beneficial effects of greenness on birth outcomes have been reported, but few studies have investigated the associations in both urban and non-urban settings. We aimed to evaluate and compare linear and nonlinear associations between greenness and birth outcomes in urban and non-urban settings. METHODS From October 2015 to December 2018, participants were recruited into the Maoming Birth Cohort Study. A total of 11 258 live birth records were obtained. Greenness exposure was assessed using the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). Linear regression and nonlinear restricted cubic spline models were implemented to investigate the associations between greenness and birthweight, birth length, gestational age, preterm birth, low birthweight, small for gestational age and the potential for effect variation under urban or non-urban settings, after adjusting for covariates. RESULTS A 0.1-unit increase in NDVI-500m was significantly associated with an increase of 35.4 g in birthweight [95% confidence interval (CI): 13.2, 57.7], 0.15 cm in birth length (95% CI: 0.03, 0.26), 0.88 days in gestational age (95% CI: 0.05, 1.71) and lower odds of low birthweight [odds ratio (OR) = 0.69, 95% CI: 0.56, 0.85] and preterm birth (OR = 0.70, 95% CI: 0.58, 0.85). No association with head circumference was observed. For all outcomes, no significant linear associations were observed among non-urban dwellers. Inversed 'U-shaped' associations between greenness exposure and birth outcomes were observed in the total study population. CONCLUSIONS Greenness exposure was associated with increased gestational age, birthweight and birth length in urban dwellers. Nonlinear associations assessed by restricted cubic splines suggested that health benefits could be larger when increasing greenness levels from low to medium compared with increasing greenness from medium to high levels. Further studies adopting nonlinear methods are warranted to verify our findings.
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Affiliation(s)
- Xiang Xiao
- Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China.,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, China
| | - Meng Gao
- Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China
| | - Shu-Li Xu
- 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, China
| | - Luke D Knibbs
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia.,School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich, Germany
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia
| | - Shao Lin
- Department of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Bin Jalaludin
- School of Public Health and Community Medicine, Faculty of Medicine, The University of New South Wales, Kensington, Australia
| | - Xubo Shen
- Department of Epidemiology & Biostatistics, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Yuanzhong Zhou
- Department of Epidemiology & Biostatistics, School of Public Health, Zunyi Medical University, Zunyi, China
| | - 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, China
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Exploring the Effects of Environmental Factors on the Development of 0-4-Year Old Children in The Netherlands. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18157782. [PMID: 34360070 PMCID: PMC8345559 DOI: 10.3390/ijerph18157782] [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] [Received: 06/25/2021] [Revised: 07/14/2021] [Accepted: 07/16/2021] [Indexed: 11/17/2022]
Abstract
Air pollution, noise, and green space are important environmental exposures, having been linked to a variety of specific health outcomes. However, there are few studies addressing overall early life development. To assess their effects, associations between developmental milestones for a large population of 0–4-year old children in The Netherlands and environmental exposures were explored. Developmental milestones and background characteristics were provided by Preventive Child Health Care (PCHC) and supplemented with data from Statistics Netherlands. Milestones were summarized and standardized into an aggregate score measuring global development. Four age groups were selected. Environmental exposures were assigned to geocoded addresses using publicly available maps for PM2.5, PM10, PMcoarse, NO2, EC, road traffic noise, and green space. Associations were investigated using single and multiple-exposure logistic regression models. 43,916 PCHC visits by 29,524 children were available. No consistent associations were found for air pollution and road traffic noise. Green space was positively associated in single and multiple-exposure models although it was not significant in all age groups (OR 1.01 (0.95; 1.08) (1 year) to 1.07 (1.01; 1.14) (2 years)). No consistent associations were found between air pollution, road traffic noise, and global child development. A positive association of green space was indicated.
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Margerison CE, Pearson AL, Lin Z, Sanciangco J. Changes in residential greenness between pregnancies and birth outcomes: longitudinal evidence from Michigan births 1990--2012. Int J Epidemiol 2021; 50:190-198. [PMID: 33130859 DOI: 10.1093/ije/dyaa158] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/27/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Residential exposure to greenness is associated with better birth outcomes, but it remains unknown whether this is explained by maternal characteristics associated with both place of residence and birth outcomes. We examined whether changes in residential greenness are associated with preterm birth (PTB) and birthweight. METHODS We examined cross-sectional associations between maternal exposure to residential greenness [normalized difference vegetation index (NDVI)] and PTB (<37 weeks of gestation) and birthweight in grams, using all births in Michigan (1990-2012) linked by mother (n = 1 730 424). We used maternal fixed effects analysis to estimate associations within mothers across multiple pregnancies and associations for mothers who did not move, but for whom greenness changed between pregnancies, to mimic an intervention. RESULTS Each 0.1-unit change in NDVI was associated with 0.98 [95% confidence interval (CI): 0.97, 0.99] times lower odds of PTB and a 9.0 (95% CI: 8.1, 9.9)-gram increase in birthweight after adjusting for individual and neighbourhood covariates. When we controlled for time-invariant maternal unmeasured confounders; these associations were close to null [odds ratio (OR): 1.00 (95% CI: 0.98, 1.01); β: -0.3 (95% CI: -2.0, 3.6)]. We did not find a relationship between greenness and birth outcomes among women who did not move between pregnancies, but for whom greenness changed within their residential location (as in an intervention). CONCLUSIONS Residential greenness does not predict birth outcomes, after controlling for time-invariant maternal characteristics, using longitudinal evidence. Future research should explore residential selection factors, spatial and individual heterogeneity and experimental study designs.
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Affiliation(s)
- Claire E Margerison
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Amber L Pearson
- Department of Public Health, University of Otago, Wellington, New Zealand.,Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, USA
| | - Zihan Lin
- Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, USA.,Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, USA
| | - Jonnell Sanciangco
- Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, USA
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Yu Z, Wei F, Zhang X, Wu M, Lin H, Shui L, Jin M, Wang J, Tang M, Chen K. Air pollution, surrounding green, road proximity and Parkinson's disease: A prospective cohort study. ENVIRONMENTAL RESEARCH 2021; 197:111170. [PMID: 33887274 DOI: 10.1016/j.envres.2021.111170] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/04/2021] [Accepted: 04/08/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Though growing evidence has linked air pollution to Parkinson's disease (PD), the results remain inconsistent. Less is known about the relevance of road proximity and surrounding green. We aimed to investigate the individual and joint associations of air pollution, road proximity and surrounding green with the incidence of PD in a prospective cohort study. METHODS We used data from a prospective cohort of 47,516 participants recruited from July 2015 to January 2018 in Ningbo, China. Long-term exposure to particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5) and ≤10 μm (PM10) and nitrogen dioxide (NO2) estimated by land-use regression models, road proximity and surrounding green assessed by Normalized Difference Vegetation Index (NDVI) were calculated based on the residential address for each participant. Cox proportional hazard models were used to analyze the individual and joint effects of air pollution, road proximity, and surrounding green on PD. RESULTS In single-exposure models, PM2.5, PM10, NO2 and road proximity was associated with increased risk of PD (e.g. Hazard Ratio (HR) = 1.51, 95%CI:1.02, 2.24 per interquartile range (IQR) increase for PM2.5) while surrounding green was associated with decreased risk of PD (e.g. HR = 0.80, 95%CI:0.65, 0.98 per IQR increase for NDVI in 300 m buffer). In two-exposure models, the associations of PM2.5 and surrounding green persisted while the associations of NO2 and road proximity attenuated towards unity. CONCLUSIONS We found that PM2.5 were associated with increased risk of incident PD while surrounding green was associated with decreased risk of PD. Future studies about PD etiology may benefit from including multiple environmental exposures to address potential joint associations.
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Affiliation(s)
- Zhebin Yu
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Fang Wei
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Xinhan Zhang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Mengyin Wu
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Hongbo Lin
- The Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, China
| | - Liming Shui
- Health Commission of Ningbo, Zhejiang, China
| | - Mingjuan Jin
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China; Department of Epidemiology and Biostatistics, And Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China; Department of Epidemiology and Biostatistics, And National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Zhejiang, China
| | - Mengling Tang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China.
| | - Kun Chen
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China; Department of Epidemiology and Biostatistics, And Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
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Park JY, Jung J, Kim YC, Lee H, Kim E, Kim YS, Kim H, Lee JP. Effects of residential greenness on clinical outcomes of patients with chronic kidney disease: a large-scale observation study. Kidney Res Clin Pract 2021; 40:272-281. [PMID: 34162051 PMCID: PMC8237126 DOI: 10.23876/j.krcp.20.224] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 02/28/2021] [Indexed: 12/18/2022] Open
Abstract
Background As industrialization and urbanization are accelerating, the distribution of green areas is decreasing, particularly in developing countries. Since the 2000s, the effects of surrounding greenness on self-perceived health, including physical and mental health, longevity, and obesity have been reported. However, the effects of surrounding green space on chronic kidney disease are not well understood. Therefore, we investigated the impact of residential greenness on the mortality of chronic kidney disease patients and progression from chronic kidney disease to end-stage renal disease (ESRD). Methods Using a large-scale observational study, we recruited chronic kidney disease patients (n = 64,565; mean age, 54.0 years; 49.0% of male) who visited three Korean medical centers between January 2001 and December 2016. We investigated the hazard ratios of clinical outcomes per 0.1-point increment of exposure to greenness using various models. Results During the mean follow-up of 6.8 ± 4.6 years, 5,512 chronic kidney disease patients developed ESRD (8.5%) and 8,543 died (13.2%). In addition, a 0.1-point increase in greenness reduced all-cause mortality risk in chronic kidney disease and ESRD patients and progression of chronic kidney disease to ESRD in a fully adjusted model. The association between mortality in ESRD patients and the normalized difference vegetation index was negatively correlated in people aged >65 years, who had normal weight, were nonsmokers, and lived in a nonmetropolitan area. Conclusion Chronic kidney disease patients who live in areas with higher levels of greenness are at reduced risk of all-cause mortality and progression to ESRD.
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Affiliation(s)
- Jae Yoon Park
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Ilsan, Republic of Korea.,Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
| | - Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, Ilsan, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea
| | - Ejin Kim
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ho Kim
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.,Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
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Tvina A, Visser A, Walker SL, Tsaih SW, Zhou Y, Beyer K, Palatnik A. Residential proximity to tree canopy and preterm birth in Black women. Am J Obstet Gynecol MFM 2021; 3:100391. [PMID: 33984532 DOI: 10.1016/j.ajogmf.2021.100391] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/29/2021] [Accepted: 05/03/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND There are marked racial disparities in obstetrical outcomes, with the incidence of preterm birth being the highest among non-Hispanic Black women. The presence of green space, such as forests and parks, is now widely viewed as a health-promoting characteristic of residential environments. OBJECTIVE This study aimed to examine the association between the proximity of tree canopies to a prenatal residential address and the rates of preterm birth among non-Hispanic Black women in Milwaukee, Wisconsin. STUDY DESIGN This was a retrospective, case-control study utilizing hospital pregnancy records of self-identified non-Hispanic Black women. The addresses of the women, who delivered from 2011 to 2019, were geocoded to characterize the percentage of tree canopy surrounding the prenatal address using the National Land Cover Database. Circular residential buffers of 100, 150, 250, and 500 m were used to assess the exposure to tree canopy coverage in proximity to a prenatal address. Univariable and multivariable analyses were conducted to determine whether tree canopy percentage at 4 different proximity buffers, examined both in means and quartiles, was associated with preterm birth (birth at <37 weeks' gestation). RESULTS Of the 2771 non-Hispanic Black women included in the study, 333 (12.0%) experienced preterm births. Less tree canopy coverage was significantly (P < .05) associated with preterm birth, irrespective of whether the coverage was quantified as a mean or by quartile. In the unadjusted and adjusted models, which adjusted for sociodemographic and clinical risk factors for preterm birth, a 10% increase in tree canopy coverage was associated with lower odds of preterm birth at all 4 buffers examined. When examining the green space by quartile, higher quartiles were associated with lower odds of preterm birth at the 100-, 150-, and 250 m buffers, but not at the 500 m buffer. CONCLUSION A higher percentage of tree canopy coverage in close proximity to the prenatal residential address is associated with lower odds of preterm birth among non-Hispanic Black women. These findings suggest that access to neighborhood green space is an important factor associated with preterm birth.
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Affiliation(s)
- Alina Tvina
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI (Dr Tvina, MS Visser, and Dr Palatnik)
| | - Anna Visser
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI (Dr Tvina, MS Visser, and Dr Palatnik)
| | - Shannon L Walker
- Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI (Ms Walker and Dr Palatnik); Institute of Health and Equity, Department of Public and Community Health, Medical College of Wisconsin, Milwaukee, WI (Ms Walker and Drs Zhou and Beyer)
| | - Shirng-Wern Tsaih
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI (Dr Tsaih)
| | - Yuhong Zhou
- Institute of Health and Equity, Department of Public and Community Health, Medical College of Wisconsin, Milwaukee, WI (Ms Walker and Drs Zhou and Beyer)
| | - Kirsten Beyer
- Institute of Health and Equity, Department of Public and Community Health, Medical College of Wisconsin, Milwaukee, WI (Ms Walker and Drs Zhou and Beyer)
| | - Anna Palatnik
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI (Dr Tvina, MS Visser, and Dr Palatnik); Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI (Ms Walker and Dr Palatnik).
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50
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Berry MS, Rung JM, Crawford MC, Yurasek AM, Ferreiro AV, Almog S. Using greenspace and nature exposure as an adjunctive treatment for opioid and substance use disorders: Preliminary evidence and potential mechanisms. Behav Processes 2021; 186:104344. [PMID: 33545317 PMCID: PMC9968503 DOI: 10.1016/j.beproc.2021.104344] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 10/19/2020] [Accepted: 01/26/2021] [Indexed: 10/22/2022]
Abstract
The demand for opioid medication to effectively treat pain has contributed to the surging opioid crisis, which is a major source of morbidity and mortality in the U.S. More than 100,000 people begin opioid maintenance treatment (OMT) annually, the standard pharmacotherapy for opioid use disorder (OUD). Although OMT is the standard care for OUD, patients often experience or develop a heightened sensitivity to pain (hyperalgesia) as a result of the opioid medication, and also have high rates of stress, affective, and anxiety-related conditions. These conditions are interactive with other behavioral and environmental correlates of opioid and other substance use disorders including impulsive decision-making (e.g., harmful opioid use associated with increased delay discounting), and a lack of alternative (i.e., substance-free) and social reinforcement. Collectively these complex and multifaceted factors constitute significant predictors of lack of adherence to OMT (and other pharmacotherapies) and relapse. There is an urgent need, therefore, to develop novel adjunctive treatments that preserve the benefits of OMT and various pharmacotherapies, and simultaneously diminish continued pain and hyperalgesia, reduce stress and anxiety-related conditions, target relevant behavioral mechanism such as impulsive choice, and also serve to enhance the value of alternative and substance free activities. Here, we discuss evidence that an environmental manipulation - access to greenspace and nature - could serve as a potential adjunctive treatment to standard pharmacotherapies by targeting multiple biological and behavioral mechanisms that standard pharmacotherapies do not address.
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Affiliation(s)
- Meredith S. Berry
- Department of Health Education and Behavior, University of Florida, Gainesville, Florida, USA,Department of Psychology, University of Florida, Gainesville, Florida, USA,Corresponding Author. (M. S. Berry)
| | - Jillian M. Rung
- Department of Psychology, University of Florida, Gainesville, Florida, USA,Department of Epidemiology, University of Florida, Gainesville, Florida, USA
| | - Matthew C. Crawford
- Department of Health Education and Behavior, University of Florida, Gainesville, Florida, USA
| | - Ali M. Yurasek
- Department of Health Education and Behavior, University of Florida, Gainesville, Florida, USA
| | - Andrea Vásquez Ferreiro
- Department of Health Education and Behavior, University of Florida, Gainesville, Florida, USA
| | - Shahar Almog
- Department of Health Education and Behavior, University of Florida, Gainesville, Florida, USA
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