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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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Yang Z, Liao J, Zhang Y, Lin Y, Ge Y, Chen W, Qiu C, Berhane K, Bai Z, Han B, Xu J, Jiang YH, Gilliland F, Yan W, Chen Z, Huang G, Zhang J(J. Critical windows of greenness exposure during preconception and gestational periods in association with birthweight outcomes. ENVIRONMENTAL RESEARCH, HEALTH : ERH 2024; 2:015001. [PMID: 38022394 PMCID: PMC10647935 DOI: 10.1088/2752-5309/ad0aa6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/26/2023] [Accepted: 11/07/2023] [Indexed: 12/01/2023]
Abstract
Few studies have examined the association between greenness exposure and birth outcomes. This study aims to identify critical exposure time windows during preconception and pregnancy for the association between greenness exposure and birth weight. A cohort of 13 890 pregnant women and newborns in Shanghai, China from 2016-2019 were included in the study. We assessed greenness exposure using Normalized Difference Vegetation Index (NDVI) during the preconception and gestational periods, and evaluated the association with term birthweight, birthweight z-score, small-for-gestational age, and large-for-gestational age using linear and logistic regressions adjusting for key maternal and newborn covariates. Ambient temperature, relative humidity, ambient levels of fine particles (PM2.5) and nitrogen dioxide (NO2) assessed during the same period were adjusted for as sensitivity analyses. Furthermore, we explored the potential different effects by urbanicity and park accessibility through stratified analysis. We found that higher greenness exposure at the second trimester of pregnancy and averaged exposure during the entire pregnancy were associated with higher birthweight and birthweight Z-score. Specifically, a 0.1 unit increase in second trimester averaged NDVI value was associated with an increase in birthweight of 10.2 g (95% CI: 1.8-18.5 g) and in birthweight Z-score of 0.024 (0.003-0.045). A 0.1 unit increase in an averaged NDVI during the entire pregnancy was associated with 10.1 g (95% CI: 1.0-19.2 g) increase in birthweight and 0.025 (0.001-0.048) increase in birthweight Z-score. Moreover, the associations were larger in effect size among urban residents than suburban residents and among residents without park accessibility within 500 m compared to those with park accessibility within 500 m. Our findings suggest that increased greenness exposure, particularly during the second trimester, may be beneficial to birth weight in a metropolitan area.
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Affiliation(s)
- Zhenchun Yang
- Duke Global Health Institute, Duke University, Durham, NC, United States of America
| | - Jiawen Liao
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Yi Zhang
- Children’s Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai, People’s Republic of China
| | - Yan Lin
- Duke Global Health Institute, Duke University, Durham, NC, United States of America
| | - Yihui Ge
- Duke Global Health Institute, Duke University, Durham, NC, United States of America
| | - Wu Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Chenyu Qiu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, People’s Republic of China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, People’s Republic of China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, People’s Republic of China
| | - Yong Hui Jiang
- Department of Genetics, Neuroscience, and Pediatrics, Yale University School of Medicine, New Haven, CT, United States of America
| | - Frank Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Weili Yan
- Children’s Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai, People’s Republic of China
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Guoying Huang
- Children’s Hospital of Fudan University, Shanghai Key Laboratory of Birth Defect, Shanghai, People’s Republic of China
| | - Junfeng (Jim) Zhang
- Duke Global Health Institute, Duke University, Durham, NC, United States of America
- Division of Environmental Science and Policy, Nicholas School of the Environment, Duke University, Durham, NC, United States of America
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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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Luo S, Wang Y, Mayvaneh F, Relvas H, Baaghideh M, Wang K, Yuan Y, Yin Z, Zhang Y. Surrounding greenness is associated with lower risk and burden of low birth weight in Iran. Nat Commun 2023; 14:7595. [PMID: 37989742 PMCID: PMC10663448 DOI: 10.1038/s41467-023-43425-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 11/09/2023] [Indexed: 11/23/2023] Open
Abstract
The nexus between prenatal greenspace exposure and low birth weight (LBW) remains largely unstudied in low- and middle-income countries (LMICs). We investigated a nationwide retrospective cohort of 4,021,741 live births (263,728 LBW births) across 31 provinces in Iran during 2013-2018. Greenness exposure during pregnancy was assessed using satellite-based normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). We estimated greenness-LBW associations using multiple logistic models, and quantified avoidable LBW cases under scenarios of improved greenspace through counterfactual analyses. Association analyses provide consistent evidence for approximately L-shaped exposure-response functions, linking 7.0-11.5% declines in the odds of LBW to each 0.1-unit rise in NDVI/EVI with multiple buffers. Assuming causality, 3931-5099 LBW births can be avoided by achieving greenness targets of mean NDVI/EVI, amounting to 4.4-5.6% of total LBW births in 2015. Our findings suggest potential health benefits of improved greenspace in lowering LBW risk and burden in LMICs.
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Affiliation(s)
- Siqi Luo
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Institute of Social Development and Health Management, Wuhan University of Science and Technology, 430065, Wuhan, China
| | - Yaqi Wang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Institute of Social Development and Health Management, Wuhan University of Science and Technology, 430065, Wuhan, China
| | - Fatemeh Mayvaneh
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, 9617916487, Khorasan Razavi, Iran.
| | - Helder Relvas
- CESAM & Department of Environment and Planning, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Mohammad Baaghideh
- Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, 9617916487, Khorasan Razavi, Iran
| | - Kai Wang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Institute of Social Development and Health Management, Wuhan University of Science and Technology, 430065, Wuhan, China
| | - Yang Yuan
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Institute of Social Development and Health Management, Wuhan University of Science and Technology, 430065, Wuhan, China
| | - Zhouxin Yin
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Institute of Social Development and Health Management, Wuhan University of Science and Technology, 430065, Wuhan, China
| | - Yunquan Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Institute of Social Development and Health Management, Wuhan University of Science and Technology, 430065, Wuhan, China.
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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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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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Feng Q, Fan CQ, Wang JJ, Wang H, Wu DM, Nassis GP, Wang M, Wang HJ. The effects of green space and physical activity on muscle strength: a national cross-sectional survey with 128,759 Chinese adults. Front Public Health 2023; 11:973158. [PMID: 37265516 PMCID: PMC10230031 DOI: 10.3389/fpubh.2023.973158] [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: 06/19/2022] [Accepted: 03/31/2023] [Indexed: 06/03/2023] Open
Abstract
Background Muscle strength is closely related to chronic noncommunicable diseases; specifically, a decline in handgrip strength (HS) is predominant globally. Exposure to green space-built environment components used for health intervention-reportedly decreases the risk of certain diseases and all-cause mortality. However, evidence in this area is limited. Objective We aimed to explore the association between green space exposure and muscle strength and ascertain the combined effect of physical activity and green space exposure on muscle strength. Method Data from 128,759 participants (aged 20-79 years) were obtained using a complex stratified multistage probability cluster sampling design. The green space was assessed as normalized difference vegetation index (NDVI) data for a 500-m buffer zone based on the geolocation information of sampling sites. We used a questionnaire to investigate transportation, occupation, physical activity, leisure-time exercise behaviors, and sedentary time within a usual week of the preceding year. The outcome was low relative HS, defined as HS-to-body weight ratio, and the percentage of men and women with relative HS in the lower third. We defined adequate physical activity as 150 min of moderate-intensity or 75 min of vigorous physical activity per week and calculated the weighted proportion of participants with insufficient physical activity. Categorical variables of NDVI and physical activity were used as exposure variables and their interrelationship was evaluated in a generalized linear mixed model (GLMM) to estimate the odds ratios (ORs) and 95% confidence intervals (95% CI). We measured interaction on an additive or multiplicative scale using a GLMM to test the interaction between green space exposure and physical activity. All analyses were performed for the total sample and subgroups (urban and rural). Result The high NDVI group had a lower risk of low relative HS than the low NDVI group (OR [95% CI]: 0.92 [0.88-0.95]). The sufficient physical activity group had a lower risk of low relative HS than the insufficient physical activity group (OR [95% CI]: 0.85 [0.81-0.88]). There was an interactive effect on the additive scale (relative excess risk owing to interaction: 0.29, 95% CI 0.22-0.36, p < 0.001) between green space exposure and physical activity. Conclusion High NDVI and adequate physical activity were protective factors against low relative HS in Chinese adults. Increasing green space exposure and physical activity together may have a greater potentiating effect on muscle strength improvement than these two protective factors individually. Green spaces should be incorporated into city design or built environments.
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Affiliation(s)
- Qiang Feng
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Chao-Qun Fan
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Jing-Jing Wang
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Huan Wang
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Dong-Ming Wu
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - George P. Nassis
- Physical Education Department–College of Education (CEDU), United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Sports Science and Clinical Biomechanics, SDU Sport and Health Sciences Cluster, University of Southern Denmark, Odense, Denmark
| | - Mei Wang
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
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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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10
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Figaroa MNS, Gielen M, Casas L, Loos RJF, Derom C, Weyers S, Nawrot TS, Zeegers MP, Bijnens EM. Early-life residential green spaces and traffic exposure in association with young adult body composition: a longitudinal birth cohort study of twins. Environ Health 2023; 22:18. [PMID: 36800959 PMCID: PMC9936720 DOI: 10.1186/s12940-023-00964-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 01/11/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Globally, the rapid increase of obesity is reaching alarming proportions. A new approach to reduce obesity and its comorbidities involves tackling the built environment. Environmental influences seem to play an important role, but the environmental influences in early life on adult body composition have not been thoroughly investigated. This study seeks to fill the research gap by examining early-life exposure to residential green spaces and traffic exposure in association with body composition among a population of young adult twins. METHODS As part of the East Flanders Prospective Twin Survey (EFPTS) cohort, this study included 332 twins. Residential addresses of the mothers at time of birth of the twins were geocoded to determine residential green spaces and traffic exposure. To capture body composition, body mass index, waist-to-hip ratio (WHR), waist circumference, skinfold thickness, leptin levels, and fat percentage were measured at adult age. Linear mixed modelling analyses were conducted to investigate early-life environmental exposures in association with body composition, while accounting for potential confounders. In addition, moderator effects of zygosity/chorionicity, sex and socio-economic status were tested. RESULTS Each interquartile range (IQR) increase in distance to highway was found associated with an increase of 1.2% in WHR (95%CI 0.2-2.2%). For landcover of green spaces, each IQR increase was associated with 0.8% increase in WHR (95%CI 0.4-1.3%), 1.4% increase in waist circumference (95%CI 0.5-2.2%), and 2.3% increase in body fat (95%CI 0.2-4.4%). Stratified analyses by zygosity/chorionicity type indicated that in monozygotic monochorionic twins, each IQR increase in land cover of green spaces was associated with 1.3% increase in WHR (95%CI 0.5-2.1%). In monozygotic dichorionic twins, each IQR increase in land cover of green spaces was associated with 1.4% increase in waist-circumference (95%CI 0.6-2.2%). CONCLUSIONS The built environment in which mothers reside during pregnancy might play a role on body composition among young adult twins. Our study revealed that based on zygosity/chorionicity type differential effects of prenatal exposure to green spaces on body composition at adult age might exist.
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Affiliation(s)
- M N S Figaroa
- Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium
| | - M Gielen
- Department of Epidemiology, NUTRIM School for Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands.
| | - L Casas
- Social Epidemiology and Health Policy, Department of Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium
- Institute for Environment and Sustainable Development (IMDO), University of Antwerp, Antwerp, Belgium
| | - R J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - C Derom
- Department of Human Structure and Repair, University Ghent, Ghent, Belgium
| | - S Weyers
- Department of Human Structure and Repair, University Ghent, Ghent, Belgium
| | - T S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - M P Zeegers
- Department of Epidemiology, NUTRIM School for Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, The Netherlands
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - E M Bijnens
- Department of Human Structure and Repair, University Ghent, Ghent, Belgium
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Environmental Sciences, Faculty of Science, Open University, Heerlen, The Netherlands
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11
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Sikarwar A, Rani R, Duthé G, Golaz V. Association of greenness with COVID-19 deaths in India: An ecological study at district level. ENVIRONMENTAL RESEARCH 2023; 217:114906. [PMID: 36423668 PMCID: PMC9678392 DOI: 10.1016/j.envres.2022.114906] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND The world has witnessed a colossal death toll due to the novel coronavirus disease-2019 (COVID-19). A few environmental epidemiology studies have identified association of environmental factors (air pollution, greenness, temperature, etc.) with COVID-19 incidence and mortality, particularly in developed countries. India, being one of the most severely affected countries by the pandemic, still has a dearth of research exploring the linkages of environment and COVID-19 pandemic. OBJECTIVES We evaluate whether district-level greenness exposure is associated with a reduced risk of COVID-19 deaths in India. METHODS We used average normalized difference vegetation index (NDVI) from January to March 2019, derived by Oceansat-2 satellite, to represent district-level greenness exposure. COVID-19 death counts were obtained through May 1, 2021 (around the peak of the second wave) from an open portal: covid19india.org. We used hierarchical generalized negative binomial regressions to check the associations of greenness with COVID-19 death counts. Analyses were adjusted for air pollution (PM2.5), temperature, rainfall, population density, proportion of older adults (50 years and above), sex ratio over age 50, proportions of rural population, household overcrowding, materially deprived households, health facilities, and secondary school education. RESULTS Our analyses found a significant association between greenness and reduced risk of COVID-19 deaths. Compared to the districts with the lowest NDVI (quintile 1), districts within quintiles 3, 4, and 5 have respectively, around 32% [MRR = 0.68 (95% CI: 0.51, 0.88)], 39% [MRR = 0.61 (95% CI: 0.46, 0.80)], and 47% [MRR = 0.53 (95% CI: 0.40, 0.71)] reduced risk of COVID-19 deaths. The association remains consistent for analyses restricted to districts with a rather good overall death registration (>80%). CONCLUSION Though cause-of-death statistics are limited, we confirm that exposure to greenness was associated with reduced district-level COVID-19 deaths in India. However, material deprivation and air pollution modify this association.
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Affiliation(s)
- Ankit Sikarwar
- French Institute for Demographic Studies (INED), Aubervilliers-Paris, France.
| | - Ritu Rani
- French Institute for Demographic Studies (INED), Aubervilliers-Paris, France; International Institute for Population Sciences, Mumbai, India
| | - Géraldine Duthé
- French Institute for Demographic Studies (INED), Aubervilliers-Paris, France
| | - Valérie Golaz
- French Institute for Demographic Studies (INED), Aubervilliers-Paris, France; Aix-Marseille University, IRD, LPED, Marseille, France
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12
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Torres Toda M, Avraam D, James Cadman T, Fossati S, de Castro M, Dedele A, Donovan G, Elhakeem A, Estarlich M, Fernandes A, Gonçalves R, Grazuleviciene R, Harris JR, Harskamp-van Ginkel MW, Heude B, Ibarluzea J, Iñiguez C, Wv Jaddoe V, Lawlor D, Lertxundi A, Lepeule J, McEachan R, Moirano G, Lt Nader J, Nybo Andersen AM, Pedersen M, Pizzi C, Roumeliotaki T, Santos S, Sunyer J, Yang T, Vafeiadi M, Gm Vrijkotte T, Nieuwenhuijsen M, Vrijheid M, Foraster M, Dadvand P. Exposure to natural environments during pregnancy and birth outcomes in 11 European birth cohorts. ENVIRONMENT INTERNATIONAL 2022; 170:107648. [PMID: 36436464 DOI: 10.1016/j.envint.2022.107648] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/25/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
Research suggests that maternal exposure to natural environments (i.e., green and blue spaces) promotes healthy fetal growth. However, the available evidence is heterogeneous across regions, with very few studies on the effects of blue spaces. This study evaluated associations between maternal exposure to natural environments and birth outcomes in 11 birth cohorts across nine European countries. This study, part of the LifeCycle project, was based on a total sample size of 69,683 newborns with harmonised data. For each participant, we calculated seven indicators of residential exposure to natural environments: surrounding greenspace in 100m, 300m, and 500m using Normalised Difference Vegetation Index (NDVI) buffers, distance to the nearest green space, accessibility to green space, distance to the nearest blue space, and accessibility to blue space. Measures of birth weight and small for gestational age (SGA) were extracted from hospital records. We used pooled linear and logistic regression models to estimate associations between exposure to the natural environment and birth outcomes, controlling for the relevant covariates. We evaluated the potential effect modification by socioeconomic status (SES) and region of Europe and the influence of ambient air pollution on the associations. In the pooled analyses, residential surrounding greenspace in 100m, 300m, and 500m buffer was associated with increased birth weight and lower odds for SGA. Higher residential distance to green space was associated with lower birth weight and higher odds for SGA. We observed close to null associations for accessibility to green space and exposure to blue space. We found stronger estimated magnitudes for those participants with lower educational levels, from more deprived areas, and living in the northern European region. Our associations did not change notably after adjustment for air pollution. These findings may support implementing policies to promote natural environments in our cities, starting in more deprived areas.
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Affiliation(s)
- Maria Torres Toda
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Demetris Avraam
- Population Health Sciences Institute, Newcastle University, Newcastle, UK; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Timothy James Cadman
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
| | - Serena Fossati
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Montserrat de Castro
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Audrius Dedele
- Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, 53361 Akademija, Lithuania.
| | - Geoffrey Donovan
- Center for Public Health Research, Massey University-Wellington Campus, PO Box 756, Wellington 6140, New Zealand; USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR 97205, USA.
| | - Ahmed Elhakeem
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, UK.
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Nursing School, Universitat de València, C/Menendez y Pelayo, s/n, 46010, Valencia, Spain.
| | - Amanda Fernandes
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
| | - Romy Gonçalves
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands.
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, 53361 Akademija, Lithuania.
| | - Jennifer R Harris
- Center for Fertility and Health, The Nowegian Institute of Public Health, Oslo, Norway.
| | - Margreet W Harskamp-van Ginkel
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Meibergdreef 9, Amsterdam, Netherlands.
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain; Faculty of Psychology of the University of the Basque Country, 20018, San Sebastian, Spain.
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain; Department of Statistics and Operational Research, Universitat de València, Dr. Moliner, 50 46100, Valencia, Spain.
| | - Vincent Wv Jaddoe
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Deborah Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, UK.
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain; Biodonostia Health Research Institute, Environmental Epidemiology and Child Development Group, 20014, San Sebastian, Spain; Department of Preventive Medicine and Public Health, Faculty of Medicine, University of the Basque Country (UPV/EHU), 48940, Leioa, Spain.
| | - Johanna Lepeule
- Université Grenoble Alpes, Institut Albert Bonniot, équipe d'épidémiologie environnementale appliquée à la reproduction et la santé respiratoire, F-38000 Grenoble, France; Inserm, Institut Albert Bonniot, équipe d'épidémiologie environnementale appliquée à la reproduction et la santé respiratoire, F-38000 Grenoble, France.
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
| | - Giovenale Moirano
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy.
| | - Johanna Lt Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway.
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Marie Pedersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, CPO-Piemonte, Turin, Italy.
| | - Theano Roumeliotaki
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Susana Santos
- The Generation R Study Group (NA-2915), Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands; EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, n° 135, 4050-600 Porto, Portugal; Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Rua das Taipas, n° 135, 4050-600, Portugal.
| | - Jordi Sunyer
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.
| | - Marina Vafeiadi
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Social Medicine, School of Medicine, University of Crete, Greece.
| | - Tanja Gm Vrijkotte
- Amsterdam UMC, University of Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health research institute, Meibergdreef 9, Amsterdam, Netherlands.
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Martine Vrijheid
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Maria Foraster
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
| | - Payam Dadvand
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Pompeu Fabra University, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain.
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13
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Lin L, Chen Y, Wei J, Wu S, Wu S, Jing J, Dong G, Cai L. The associations between residential greenness and allergic diseases in Chinese toddlers: A birth cohort study. ENVIRONMENTAL RESEARCH 2022; 214:114003. [PMID: 35931194 DOI: 10.1016/j.envres.2022.114003] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/29/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Green space in the living environment has been linked to the development of allergic diseases. However, evidence regarding early-onset allergy in toddlers was limited, and the critical exposure window remained unclear. We aimed to investigate associations between residential greenness with allergic diseases in early life. METHODS This prospective birth cohort study included 522 mother-child pairs in Guangzhou, China. We quantified prenatal, postnatal, and early-life (i.e., the first 1000 days of life) residential greenness, estimated from remote satellite data using normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and tree cover. We identified physician-diagnosed allergic diseases (eczema, atopic dermatitis, urticaria, allergic rhinitis, allergic conjunctivitis, food allergy, and asthma) based on medical records at age 2 years. Generalized linear regression was conducted to examine the associations of greenness with allergic outcomes. RESULTS The ranges of residential NDVI and EVI values in 500-m buffer during early life were 0.06-0.70 and 0.03-0.46, respectively. We found a 0.1 unit increase of NDVI in 500-m buffer throughout early life was associated with higher odds of any allergic diseases (prenatal: OR [odds ratio], 1.25; 95%CI, 1.02-1.53; postnatal: OR, 1.24; 95%CI, 1.02-1.52; early-life: OR, 1.25, 95%CI: 1.02-1.53) and higher odds of eczema (prenatal: OR, 1.28; 95%CI, 1.04-1.59; postnatal: OR, 1.24; 95%CI, 1.01-1.54; early-life: OR, 1.26, 95%CI: 1.02-1.56). The results were consistent when using EVI as a proxy for greenness. We only observed that prenatal exposure to the highest tertile of NDVI-500 was adversely associated with any allergic diseases (OR, 1.63; 95%CI, 1.03-2.58) and eczema (OR, 1.70; 95%CI: 1.04-2.78) compared with the lowest tertile. CONCLUSIONS This study identified detrimental associations of residential greenness with allergic diseases especially eczema among toddlers, and pregnancy appears to be the critical exposure window. Our findings highlighted the importance of urban planning to develop friendly-green neighborhood to improve maternal and child health.
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Affiliation(s)
- Lizi Lin
- 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
| | - Yujing Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Shengchi Wu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shu Wu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Guanghui 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.
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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14
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Zhou S, Guo Y, Bao Z, Lin L, Liu H, Chen G, Li Q, Bao H, Ji Y, Luo S, Liu Z, Wang H, Han N, Wang HJ. Individual and joint effects of prenatal green spaces, PM 2.5 and PM 1 exposure on BMI Z-score of children aged two years: A birth cohort study. ENVIRONMENTAL RESEARCH 2022; 205:112548. [PMID: 34919955 DOI: 10.1016/j.envres.2021.112548] [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: 09/16/2021] [Revised: 11/24/2021] [Accepted: 12/07/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Few studies examined the association of prenatal exposure to green spaces with children's body mass index (BMI) Z-score, and no study evaluated the joint effect of prenatal green spaces and PM2.5 or PM1 exposure on children's BMI Z-score. We aimed to assess the individual and joint effects of prenatal green spaces, PM2.5, and PM1 exposure on BMI Z-score of children aged two years. METHODS The study was based on a birth cohort in Beijing, China, in which 13,253 mothers (LMP from 2014 to 2017) and their children were included. We estimated prenatal green spaces exposure by calculating average normalized difference vegetation index with 500 m buffers (NDVI-500), prenatal PM2.5 and PM1 exposure based on maternal residential addresses. Weight and height of children were measured at 2 years old. We calculated children's BMI Z-score based on the WHO Standards. Generalized linear regression was used to examine the individual and joint effects of prenatal NDVI-500, PM2.5 and PM1 exposure on children's BMI Z-score. RESULTS A 0.1 increase in prenatal NDVI-500 exposure, a 10 μg/m3 decrease in PM2.5, a 10 μg/m3 decrease in PM1 were associated with 0.185 [95% confidence interval (95%CI): 0.155, 0.216], 0.034 (95%CI: 0.015, 0.052) and 0.041 (95%CI: 0.020, 0.061) increase of children's BMI Z-score, respectively. Compared with those exposed to low-level NDVI-500 (not greater than median) and high-level PM2.5 (greater than median), the BMI Z-score was higher in children whose mother exposed to high-level of NDVI-500 and low-level PM2.5 [β:0.172 (95%CI: 0.131, 0.214), Pinteraction = 0.003]. Compared with those exposed to low-level NDVI-500 and high-level PM1, the BMI Z-score was higher in children whose mother exposed to high-level of NDVI-500 and low-level PM1 [β:0.169 (95%CI: 0.127, 0.210), Pinteraction<0.001]. In the trimester-specific analysis, NDVI-500 and PM exposure during the second trimester have a consistent individual effect, together with a joint effect, on child growth. CONCLUSION The study suggested the beneficial effect of prenatal exposure to green spaces on child growth and its interaction with PM2.5 and PM1, especially in the second trimester. The findings call for developing public health policy to improve green infrastructure and control PM2.5 and PM1 concentrations, in order to promote child growth.
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Affiliation(s)
- Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Zheng Bao
- Tongzhou Maternal and Child Health Hospital, Beijing, 101101, China
| | - Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, 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, 510080, China
| | - Hui Liu
- Medical Informatics Center, Peking University, Beijing, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China; Reproductive Medical Centre, Department of Obstetrics and Gynaecology, Peking University Third Hospital, Beijing, 100191, China
| | - Heling Bao
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Na Han
- Tongzhou Maternal and Child Health Hospital, Beijing, 101101, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
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15
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Li G, Zhang H, Hu M, He J, Yang W, Zhao H, Zhu Z, Zhu J, Huang F. Associations of combined exposures to ambient temperature, air pollution, and green space with hypertension in rural areas of Anhui Province, China: A cross-sectional study. ENVIRONMENTAL RESEARCH 2022; 204:112370. [PMID: 34780789 DOI: 10.1016/j.envres.2021.112370] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 10/08/2021] [Accepted: 11/08/2021] [Indexed: 06/13/2023]
Abstract
Hypertension (HTN) was a major preventable cause of cardiovascular disease (CVD), contributing to a huge disease burden. Ambient temperature, air pollution and green space were important influencing factors of HTN, and few studies have assessed the effects and interactions of ambient temperature, air pollution and green space on HTN in rural areas. In this study, we selected 8400 individuals randomly in rural areas of Anhui Province by a multi-stage stratified cluster sampling. A total of 8383 individuals were included in the final analysis. We collected particulate pollutants and meteorological data from the local air quality monitoring stations and National Center for Meteorological Science from January 1 to December 31, 2020, respectively. The normalized differential vegetation index (NDVI) of Anhui Province in 2020 was produced and processed by remote sensing inversion on the basis of medium resolution satellite images. The average annual mean exposure concentrations of air pollution, meteorological factors, and NDVI were calculated for each individual based on the geocoded residential address. HTN was defined according the Chinese Guidelines for Prevention and Treatment of HTN. The effects and interactions of ambient temperature, air pollution and green space on HTN were evaluated by generalized linear model and interaction model, respectively. In this study, the prevalence of HTN was 24.14%. The adjusted odd ratio of HTN for each 1 μg/m3 increasing in PM2.5 and PM10, 1 °C of ambient temperature, and 0.1 of NDVI were:1.276 (1.013, 1.043), 1.012 (1.006, 1.018), 0.862 (0.862, 0.981) and 0.669 (0.611, 0.733), respectively. The results showed that air pollutants were positively correlated with HTN, while ambient temperature and green space were negatively correlated with HTN. Meanwhile, the negative associations of green space on HTN could decrease with the increasing concentrations of air pollution, but increase with the rising of ambient temperature.
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Affiliation(s)
- Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Hanshuang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Mingjun Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jialiu He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Wanjun Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Huanhuan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Zhenyu Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Jinliang Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
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16
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Jimenez RB, Lane KJ, Hutyra LR, Fabian MP. Spatial resolution of Normalized Difference Vegetation Index and greenness exposure misclassification in an urban cohort. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2022; 32:213-222. [PMID: 35094014 DOI: 10.1038/s41370-022-00409-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 12/22/2021] [Accepted: 01/06/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The Normalized Difference Vegetation Index (NDVI) is a measure of greenness widely used in environmental health research. High spatial resolution NDVI has become increasingly available; however, the implications of its use in exposure assessment are not well understood. OBJECTIVE To quantify the impact of NDVI spatial resolution on greenness exposure misclassification. METHODS Greenness exposure was assessed for 31,328 children in the Greater Boston Area in 2016 using NDVI from MODIS (250 m2), Landsat 8 (30 m2), Sentinel-2 (10 m2), and the National Agricultural Imagery Program (NAIP, 1 m2). We compared continuous and categorical greenness estimates for multiple buffer sizes under a reliability assessment framework. Exposure misclassification was evaluated using NAIP data as reference. RESULTS Greenness estimates were greater for coarser resolution NDVI, but exposure distributions were similar. Continuous estimates showed poor agreement and high consistency, while agreement in categorical estimates ranged from poor to strong. Exposure misclassification was higher with greater differences in resolution, smaller buffers, and greater number of exposure quantiles. The proportion of participants changing greenness quantiles was higher for MODIS (11-60%), followed by Landsat 8 (6-44%), and Sentinel-2 (5-33%). SIGNIFICANCE Greenness exposure assessment is sensitive to spatial resolution of NDVI, aggregation area, and number of exposure quantiles. Greenness exposure decisions should ponder relevant pathways for specific health outcomes and operational considerations.
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Affiliation(s)
- Raquel B Jimenez
- Department of Environmental Health. School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
| | - Kevin J Lane
- Department of Environmental Health. School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA
| | - Lucy R Hutyra
- Department of Earth and Environment, Boston University, 685 Commonwealth Avenue, Boston, MA, 02215, USA
| | - M Patricia Fabian
- Department of Environmental Health. School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA
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17
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The influence of social and economic environment on health. One Health 2022. [DOI: 10.1016/b978-0-12-822794-7.00005-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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18
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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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19
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Yuan Y, Huang F, Lin F, Zhu P, Zhu P. Green space exposure on mortality and cardiovascular outcomes in older adults: a systematic review and meta-analysis of observational studies. Aging Clin Exp Res 2021; 33:1783-1797. [PMID: 32951189 DOI: 10.1007/s40520-020-01710-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 09/03/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND With the launch of the "Global Age-Friendly Cities project", increasing emphasis has been placed on the effects of green spaces on health in the elderly. The previous literature has shown that green spaces are beneficial to a range of health-related outcomes in adults. However, associations of greenness with mortality and cardiovascular outcomes are less certain, which may differ depending on the age class. This review aimed to synthesize current evidence from observational studies to assess relationships of green space exposure with mortality and cardiovascular outcomes in older individuals. METHODS Five databases were searched. Qualitative evaluation and meta-analyses of included studies were conducted. This review is registered with PROSPERO, CRD42020160366. RESULTS Of the 8,143 records identified, we finally included 22 studies. In a narrative systematic review, we observed that the majority of studies showed reductions in the risk of all-cause mortality and total cardiovascular disease. Further meta-analyses which included eight cohort studies, indicated that greater greenness exposure (per 0.1 unit increase of normalized difference vegetation index (NDVI)) was associated with a reduced risk of all-cause mortality (pooled hazard ratios (HR) (95% confidence interval (CI) = 0.99 (0.97, 1.00)) and stroke mortality (pooled HR (95% CI) = 0.77 (0.59, 1.00)) in older individuals. CONCLUSIONS This review supports increasing green space exposure in terms of the prevention of death and cardiovascular outcomes in older individuals. Effective measures to increase or preserve greenspaces should therefore be considered as important public health interventions.
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Affiliation(s)
- Yin Yuan
- The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | - Feng Huang
- The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | - Fan Lin
- The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China
| | - Pengyi Zhu
- School of Economics, Fujian Normal University, Fuzhou, China.
| | - Pengli Zhu
- The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
- Department of Geriatric Medicine, Fujian Provincial Hospital, Fuzhou, China.
- Fujian Provincial Institute of Clinical Geriatrics, Fuzhou, China.
- Fujian Provincial Key Laboratory of Geriatrics, Fuzhou, China.
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20
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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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21
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Akaraci S, Feng X, Suesse T, Jalaludin B, Astell-Burt T. Greener neighbourhoods, healthier birth outcomes? Evidence from Australia. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 278:116814. [PMID: 33677222 DOI: 10.1016/j.envpol.2021.116814] [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: 07/20/2020] [Revised: 01/23/2021] [Accepted: 02/19/2021] [Indexed: 06/12/2023]
Abstract
Growing body of research recognizes the importance of green spaces on the perinatal outcomes however, further evidence from different geographies are warranted. We aimed to investigate association between, and differential responses to, maternal exposure to green space and birthweight. Birth records (n = 82,221) were extracted from the Perinatal Data Collection (PDC) in Sydney's metropolitan area between January 2016 and December 2017. Association between green space quantity and birthweight, term birthweight, low birthweight, term low birthweight and preterm were assessed using linear and logistic regressions. Potential modification by area-level socioeconomic status and maternal country of birth were tested using interaction terms. Difference in birth weight for the ≥40% versus <20% green space within SA2s was 59.0 g (95%CI: 42.9, 75.3) in unadjusted models which dropped to 25.6 g (95%CI: 13.0, 38.2) in adjusted models. Stratified analysis suggested stronger associations for babies of mothers from affluent neighbourhoods, while statistically significant association was not observed in deprived areas. Furthermore, the association was more pronounced among babies to mothers who were born overseas. Associations were consistent for term births. Higher levels of green space were associated with lower odds of preterm birth in adjusted models. However, we did not identify statistically significant association between green space quantity and the risk of low birthweight (LBW). Our study suggests that green space may support healthier birth outcomes and help to reduce the birthweight gap between newborns of mothers born in Australia and overseas. However, disproportionate benefits among women in affluent neighbourhoods may widen socioeconomic inequities in birthweight.
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Affiliation(s)
- Selin Akaraci
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia.
| | - Xiaoqi Feng
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia; School of Population Health, Faculty of Medicine and Health, University of New South Wales, NSW 2052, Australia; Menzies Centre for Health Policy, University of Sydney, Sydney, Australia; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Thomas Suesse
- NIASRA, National Institute for Applied Statistics Research Australia School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia.
| | - Bin Jalaludin
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, NSW 2052, Australia; Ingham Institute for Applied Medical Research, University of New South Wales, Sydney, NSW, 2170, Australia.
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia; Menzies Centre for Health Policy, University of Sydney, Sydney, Australia; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; School of Population Medicine and Public Health, Peking Union Medical College and The Chinese Academy of Medical Sciences, Beijing, China.
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22
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Vilcins D, Scarth P, Sly PD, Jagals P, Knibbs LD, Baker P. The association of fractional cover, foliage projective cover and biodiversity with birthweight. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 763:143051. [PMID: 33127150 DOI: 10.1016/j.scitotenv.2020.143051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/18/2020] [Accepted: 10/08/2020] [Indexed: 06/11/2023]
Abstract
INTRODUCTION Environmental exposures can contribute both benefits and risks to human health. Maternal exposure to green space has been associated with improvements in birthweight, among other birth outcomes. Newer measures of green space have been developed, which allows for an exploration of the effect of different ground covers (green, dry and bare earth), as well as measures of biodiversity. This study explores the association of these novel green space measures with birthweight in a large birth cohort in Queensland, Australia. METHODS Birthweight was acquired from the routine health records. Records were allocated green space values for fractional cover, biodiversity and foliage projective cover. Directed acyclic graphs were developed to guide variable selection. Mixed-effects linear regression and generalised linear mixed-effects models were developed, with random intercepts for maternal residential locality and year of birth. Results are presented as standardised beta coefficients or odds ratios, with 95% confidence intervals. RESULTS An IQR increase of green cover (29.6 g, 95% CI 13.8-45.5) and foliage projective cover (26.0 g, 95% CI 10.8-41.3) are associated with birthweight in urban areas. An IQR increase in dry cover -34.4 g, 95% CI -60.4 to -8.4) and bare earth (-17.7 g, 95% CI -32.8 to -2.6) are associated with lower birthweight. Mothers living in rural areas had similar results, with an IQR increase in green cover (17.8 g, 95% CI 2.9-32.7) associated with higher birthweight, and bare earth (-27.7 g, 95% CI -45.7 to -9.7) was associated with lower birthweight. The biodiversity measure used in this study was not associated with any birthweight outcomes. CONCLUSION This study finds that the types of ground cover within the maternal residential locality are associated with small, but significant, changes in estimated birthweight, and these effects are not limited to urban areas.
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Affiliation(s)
- Dwan Vilcins
- Children's Health and Environment Program, The University of Queensland, L7 Centre for Children's Health Research, 62 Graham St, South Brisbane 4101, QLD, Australia.
| | - Peter Scarth
- School of Earth and Environmental Sciences, L2, Room 210, Steele Building, The University of Queensland, St Lucia, QLD, Australia, 4072.
| | - Peter D Sly
- Children's Health and Environment Program, The University of Queensland, L7 Centre for Children's Health Research, 62 Graham St, South Brisbane 4101, QLD, Australia.
| | - Paul Jagals
- Children's Health and Environment Program, The University of Queensland, L7 Centre for Children's Health Research, 62 Graham St, South Brisbane 4101, QLD, Australia.
| | - Luke D Knibbs
- School of Public Health, Public Health Building, 288 Herston Rd, The University of Queensland, Brisbane 4006, Australia.
| | - Peter Baker
- School of Public Health, Public Health Building, 288 Herston Rd, The University of Queensland, Brisbane 4006, Australia.
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23
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Lee PC, Wu CD, Tsai HJ, Tsai HY, Lin SH, Wu CK, Hung CY, Yao TC. Residential greenness and birth outcomes: Evaluating the mediation and interaction effects of particulate air pollution. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 211:111915. [PMID: 33461015 DOI: 10.1016/j.ecoenv.2021.111915] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 01/02/2021] [Accepted: 01/06/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The few studies that examined the association between residential greenness and birth outcomes have produced inconsistent results, and the underlying mechanisms of these associations remain unclear. OBJECTIVES We examined the mediation and interaction effects of particulate matter (PM) air pollution on the relationship between greenness exposure during the first and third trimesters of pregnancy and birth outcomes, including preterm birth (PTB), term low birth weight (TLBW), small for gestational age (SGA), birth weight (BW), and head circumference (HC). METHODS We conducted a retrospective cohort study on 16,184 singleton live births between 2010 and 2012 in Taiwan. Residential greenness was estimated based on the normalized difference vegetation index (NDVI), and the PM information during the first and third trimesters was estimated through hybrid kriging land use regression and ordinary kriging interpolation methods. Multiple regression analyses were performed to evaluate the associations between greenness exposure and birth outcomes. We estimated the mediating effects of PM associated with greenness exposure on birth outcomes through causal mediation analyses. We also examined the potential multiplicative and additive interactions between greenness exposure and PM and their effects on birth outcomes. RESULTS The first trimester NDVI exposure was associated with reduced risks for PTB, TLBW, and SGA, which had an adjusted OR (aOR) of 0.93 (95% CI: 0.89-0.97), 0.91 (95% CI: 0.83-0.99), and 0.95 (95% CI: 0.91-1.00), respectively, per 0.1 unit increase in multi-pollutant models. The causal mediation analysis showed that PM mediated approximately 5-19% of the association between first and third trimester greenness and PTB and mediated approximately 15-37% of the association between greenness and SGA. We identified multiplicative interactions in log scale between first trimester PM10 and NDVI exposure for SGA (aORinteraction = 0.92, p = 0.03) and HC (estimateinteraction = 1.47, p = 0.04). CONCLUSIONS This study revealed beneficial associations between residential greenness and birth outcomes, including PTB, TLBW, and SGA. The associations were partly mediated by a reduction in exposure to PM air pollution. SUMMARY The beneficial effects of greenness on PTB and SGA are partly mediated by a reduction in exposure to PM air pollution.
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Affiliation(s)
- Pei-Chen Lee
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 10845, Taiwan, ROC; Taipei City Hospital, Taipei 11080, Taiwan, ROC; Centre for Research in Epidemiology and Population Health (CESP), INSERM, U1018 Villejuif, France
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan 701, Taiwan, ROC
| | - Hui-Ju Tsai
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli 35053, Taiwan, ROC
| | - Hsin-Yun Tsai
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 10845, Taiwan, ROC
| | - Sheng-Hsuan Lin
- Department of Statistics, National Chiao Tung University, Hsinchu 300, Taiwan, ROC
| | - Chia-Kai Wu
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 10845, Taiwan, ROC
| | - Chi-Yen Hung
- Department of Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan, ROC
| | - Tsung-Chieh Yao
- Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics, Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Taoyuan 33305, Taiwan, ROC.
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Green Space and Health Equity: A Systematic Review on the Potential of Green Space to Reduce Health Disparities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18052563. [PMID: 33806546 PMCID: PMC7967323 DOI: 10.3390/ijerph18052563] [Citation(s) in RCA: 134] [Impact Index Per Article: 44.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 02/25/2021] [Accepted: 02/26/2021] [Indexed: 02/07/2023]
Abstract
Disadvantaged groups worldwide, such as low-income and racially/ethnically minoritized people, experience worse health outcomes than more privileged groups, including wealthier and white people. Such health disparities are a major public health issue in several countries around the world. In this systematic review, we examine whether green space shows stronger associations with physical health for disadvantaged groups than for privileged groups. We hypothesize that disadvantaged groups have stronger protective effects from green space because of their greater dependency on proximate green space, as they tend to lack access to other health-promoting resources. We use the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method and search five databases (CINAHL, Cochrane, PubMed, Scopus, and Web of Science) to look for articles that examine whether socioeconomic status (SES) or race/ethnicity modify the green space-health associations. Based on this search, we identify 90 articles meeting our inclusion criteria. We find lower-SES people show more beneficial effects than affluent people, particularly when concerning public green spaces/parks rather than green land covers/greenness. Studies in Europe show stronger protective effects for lower-SES people versus higher-SES people than do studies in North America. We find no notable differences in the protective effects of green space between racial/ethnic groups. Collectively, these results suggest green space might be a tool to advance health equity and provide ways forward for urban planners, parks managers, and public health professionals to address health disparities.
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Association between residential greenness and glycosylated hemoglobin in pregnant women: Findings from the baseline data of Yuexiu birth cohort. Int J Hyg Environ Health 2021; 234:113721. [PMID: 33662751 DOI: 10.1016/j.ijheh.2021.113721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 02/15/2021] [Accepted: 02/16/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Previous studies have indicated that residential greenness can affect human health, but limited studies have examined the association between residential greenness and glucose homeostasis during pregnancy. We aimed to investigate the associations of residential greenness with plasma glucose, glycosylated hemoglobin (HbA1c) and gestational diabetes mellitus (GDM). METHODS We recruited a total of 587 pregnant women aged 20-45 years in Guangzhou, China. We extracted normalized difference vegetation index with different buffers (NDVI-250m, 500m and 1000m) from remote satellite data based on maternal residential addresses. We measured plasma glucose levels and HbA1c during 20-28 weeks' gestation, and GDM was diagnosed with a 75-g oral glucose tolerance test. We collected the information of relevant covariates by face-to-face interviews and questionnaires. We used generalized linear regression to examine the associations of residential greenness with quantitative and categorized outcomes. RESULTS In the final analyses, 123 (21.0%) of the pregnant women were diagnosed as GDM at 20-28 weeks gestation. With a 0.1 unit increase in NDVI-250m, the percent of HbA1c changed by -0.05% [95% confidence interval (CI): -0.08, -0.02]. The results of HbA1c were consistent when using different resolution of NDVI [NDVI-500m: 0.03, 95%CI: -0.05, -0.01; NDVI-1000m: 0.05, 95%CI: -0.08, -0.02]. We observed non-significant associations of glucose levels and the risk of GDM in relation to NDVI with different resolutions when adjusted for confounding. The results remained robust in sensitivity analyses. CONCLUSION The present study in Guangzhou, China was the first to identify negative association of NDVI with HbA1c in pregnant women, but we did not observe its association with plasma glucose levels or the risk of GDM. The results support that building sufficient green infrastructure could be considered in urban design and planning to promote maternal health.
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Padula AM, Shariff-Marco S, Yang J, Jain J, Liu J, Conroy SM, Carmichael SL, Gomez SL, Phibbs C, Oehlert J, Gould JB, Profit J. Multilevel social factors and NICU quality of care in California. J Perinatol 2021; 41:404-412. [PMID: 32157221 PMCID: PMC7483231 DOI: 10.1038/s41372-020-0647-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 02/21/2020] [Accepted: 02/27/2020] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Our objective was to incorporate social and built environment factors into a compendium of multilevel factors among a cohort of very low birth weight infants to understand their contributions to inequities in NICU quality of care and support providers and NICUs in addressing these inequities via development of a health equity dashboard. STUDY DESIGN We examined bivariate associations between NICU patient pool and NICU catchment area characteristics and NICU quality of care with data from a cohort of 15,901 infants from 119 NICUs in California, born 2008-2011. RESULT NICUs with higher proportion of minority racial/ethnic patients and lower SES patients had lower quality scores. NICUs with catchment areas of lower SES, higher composition of minority residents, and more household crowding had lower quality scores. CONCLUSION Multilevel social factors impact quality of care in the NICU. Their incorporation into a health equity dashboard can inform providers of their patients' potential resource needs.
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Affiliation(s)
- Amy M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jennifer Jain
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jessica Liu
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Shannon M Conroy
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Suzan L Carmichael
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Scarlett L Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Ciaran Phibbs
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
- Health Economics Resource Center, VA Palo Alto Health Care System, Menlo Park, CA, USA
| | - John Oehlert
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jeffrey B Gould
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jochen Profit
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA
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Hu CY, Yang XJ, Gui SY, Ding K, Huang K, Fang Y, Jiang ZX, Zhang XJ. Residential greenness and birth outcomes: A systematic review and meta-analysis of observational studies. ENVIRONMENTAL RESEARCH 2021; 193:110599. [PMID: 33307084 DOI: 10.1016/j.envres.2020.110599] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/04/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND The amount of natural vegetation surrounding homes (residential greenness) has been proposed as a mitigation measure to buffer the adverse health effects of urban living, associated with promoting health and wellbeing including birth outcomes. This study aimed to systematically review the epidemiological evidence on the association of residential greenness with birth outcomes and quantitatively provide summary effect estimates of the current literature. METHODS We extensively searched epidemiological studies related to residential greenness and birth outcomes in three electronic databases (EMBASE, Web of Science, and PubMed) using terms related to residential greenness and birth outcomes before July 10, 2020. Summary effect estimates of residential greenness on birth outcomes including SGA (small for gestational age), PTB (preterm birth), LBW (low birth weight), and birth weight were calculated for each 0.1 unit increase in residential greenness exposure, as well as comparing the highest to the lowest categories using random-effects meta-analyses. We assessed the risk of bias of each individual study, and the overall quality of the body of evidence and level of evidence for each exposure-outcome were also evaluated. RESULTS The initial search identified 161 studies, of which 29 studies were finally included. Meta-analysis for continuous exposure suggested that an increase in residential greenness, measured by NDVI (normalized difference vegetation index) with different buffer sizes, was generally associated with higher birth weights ranging from 7.99 g [95% confidence interval (CI) = 4.29-11.70] to 15.35 g (95% CI = 11.41-19.29) and lower odds of LBW ranging from 0.79 (95% CI = 0.65-0.96) to 0.93 (95% CI = 0.86-1.00), but associations between residential greenness and PTB or SGA were not significant. When introducing the exposure as high versus low categories, similar results were found. The overall evidence for each exposure-outcome combination was considered to be of "moderate" certainty. CONCLUSIONS This study indicated a potential positive association between residential greenness and several birth outcomes. However, because of the moderate to high between-study heterogeneity, further studies with better adjustment of covariates, improved residential greenness assessment in a longitudinal approach throughout pregnancy rather than a cross-sectional approach at time of delivery, and accounting thoroughly for socioeconomic status, are warranted to replicate these findings as well as to explore in greater detail in their implications.
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Affiliation(s)
- Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China; Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xiao-Jing Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Si-Yu Gui
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Kun Ding
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Kai Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yuan Fang
- Department of Public Health, Erasmus University Medical Center, P.O. Box 2040, 3000, CA Rotterdam, the Netherlands
| | - Zheng-Xuan Jiang
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China.
| | - Xiu-Jun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China; Center for Evidence-Based Practice, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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Mygind L, Kurtzhals M, Nowell C, Melby PS, Stevenson MP, Nieuwenhuijsen M, Lum JAG, Flensborg-Madsen T, Bentsen P, Enticott PG. Landscapes of becoming social: A systematic review of evidence for associations and pathways between interactions with nature and socioemotional development in children. ENVIRONMENT INTERNATIONAL 2021; 146:106238. [PMID: 33189991 DOI: 10.1016/j.envint.2020.106238] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 10/19/2020] [Accepted: 10/21/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Existing research indicates that spending time in nature is associated with diverse aspects of children's health and wellbeing. Although fundamental to later life chances and health, no systematic reviews, to our knowledge, have focused specifically on the effects of interaction with nature on socioemotional functioning in childhood. OBJECTIVES Amongst children, what is the consistency of associations between the availability of or spending time in nature on socioemotional function and development? Furthermore, which child behaviours and states independently associate with socioemotional function and availability of or spending time in nature, and what is the consistency of associations between these behaviours and states and contact with nature? DATA SOURCES Embase, Environment Complete, MEDLINE, and APA PsycINFO. Eligible studies were backward and forward snowball-searched. STUDY ELIGIBILITY CRITERIA Studies investigating effects of, or associations between, availability of or interaction with nature on socioemotional or proximal outcomes in children under the age of 12 years were included in this review. STUDY APPRAISAL AND SYNTHESIS METHODS The internal validity of studies investigating socioemotional outcomes were based on assessments of elements of study design, conduct, and reporting to identify potential issues related to confounding or other biases. The number of analyses indicating positive, negative, and non-significant associations between availability or interaction with green space and the outcomes were summed. RESULTS A total of 223 eligible full-texts, of which 43 pertained to socioemotional outcomes and 180 to proximal outcomes, met eligibility criteria. Positive associations between availability of and spending time in green space were found with children's intra- and interpersonal socioemotional function and development. Proportions of positive findings ranged from 13.9% to 55% across experimental and observational research, exposures, populations, and contexts. Modifying and mediating factors were identified. We found consistent evidence for improved aspects of cognition and, for children over six years, reduced risk of obesity and overweight in association with green space; consistent links between movement behaviours in the experimental, but not observational research; tentative trends suggesting associations with play, motor skills, language, screen time, and communication skills; little evidence for positive associations between green space and mood, physical wellbeing, and stress; some evidence for associations with healthy birth outcomes, and little evidence for direct associations between availability of green space and asthma and allergy prevalence, however, mediation via, for example, air pollution was likely. LIMITATIONS We identified few studies without either probable or severe risk of bias in at least one item. Improved study quality may therefore result in different results. Restricting analyses to include only studies considered at low risk of bias indicated similar or slightly lower proportions of positive findings. Risk of bias in proximal outcomes was not assessed. CONCLUSIONS The empirical evidence for benefits of availability of and interaction green space for child socioemotional function and development must currently be considered limited. A number of proximal indicators were identified. Systematic review registration number. PROSPERO ID CRD42019135016.
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Affiliation(s)
- Lærke Mygind
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia; Unit of Medical Psychology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark, Copenhagen, Denmark.
| | - Mette Kurtzhals
- Health Promotion Research, Steno Diabetes Center Copenhagen, The Capital Region of Denmark, Gentofte, Denmark
| | - Clare Nowell
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Paulina S Melby
- Section of Sport, Individual and Society, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Matt P Stevenson
- Health Promotion Research, Steno Diabetes Center Copenhagen, The Capital Region of Denmark, Gentofte, Denmark
| | - Mark Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiologia y Salud Publica, Madrid, Spain
| | - Jarrad A G Lum
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Trine Flensborg-Madsen
- Unit of Medical Psychology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Peter Bentsen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark, Copenhagen, Denmark; Department of Geoscience and Natural Resource Management, University of Copenhagen, Frederiksberg, Denmark
| | - Peter G Enticott
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
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29
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Torres Toda M, Miri M, Alonso L, Gómez-Roig MD, Foraster M, Dadvand P. Exposure to greenspace and birth weight in a middle-income country. ENVIRONMENTAL RESEARCH 2020; 189:109866. [PMID: 32768705 DOI: 10.1016/j.envres.2020.109866] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 06/12/2020] [Accepted: 06/22/2020] [Indexed: 06/11/2023]
Abstract
An emerging body of evidence has associated exposure to greenspace during pregnancy with improved fetal growth; however, all available studies have been conducted in high-income countries and the available evidence evaluating such an association for visual access to greenspace, use of green spaces and indoor plants is non-existent. We aimed to evaluate the association between a comprehensive array of indicators of exposure to greenspace during pregnancy, including the aforementioned indicators, and birth weight, in a middle-income country and evaluating air pollution and visual access as possible mechanisms underlying the association. This study was based on 301 pregnant women residing in Su et al. (2019). For each pregnant woman, we characterized exposure to residential surrounding greenspace, visual access to greenspace, residential proximity to green space, use of green spaces, and the number of plant pots at home. We used linear regression models adjusted for relevant covariates including measures of socioeconomic status. We found positive associations of maternal exposure to residential surrounding greenspace across a 100 m buffer, frequent viewing of greenspace through the window, percentage of window area covered by greenspace, residential proximity to any green space regardless of its area, time spent in public green spaces and total time spent in public and private green spaces with birth weight. We also observed positive associations of maternal exposure to residential surrounding greenspace across 300 m and 500 m buffers, residential proximity to a green space with an area ≥5000 m2, and indoor plant pots with birth weight, but none of these associations were statistically significant. The magnitude of the associations tended to be higher among parents with lower socioeconomic status. Mediation through air pollution or visual access was not established. Findings from this study suggested a positive role of different aspects of exposure to greenspace during pregnancy on birth weight in a middle-income country.
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Affiliation(s)
- Maria Torres Toda
- ISGlobal, Barcelona, Spain; Pompeu FabraUniversity, Barcelona, Catalonia, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mohammad Miri
- Non-communicable Diseases Research Center, Department of Environmental Health, School of Public Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
| | | | - Maria Dolores Gómez-Roig
- BCNatal-Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Sant Joan de Deu and Hospital Clínic), Barcelona, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Barcelona, Spain; Spain Maternal and Child Health Development Network, RETICS Funded By the PN I+D+I 2013-2016 (Spain), ISCIII- Sub-Directorate General for Research Assessment and Promotion and the European Regional Development Fund (ERDF), Ref. RD16/0022, Madrid, Spain
| | - Maria Foraster
- ISGlobal, Barcelona, Spain; Pompeu FabraUniversity, Barcelona, Catalonia, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Pompeu FabraUniversity, Barcelona, Catalonia, Spain; Ciber on Epidemiology and Public Health (CIBERESP), Madrid, Spain.
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Nie Z, Yang B, Ou Y, Bloom MS, Han F, Qu Y, Nasca P, Matale R, Mai J, Wu Y, Gao X, Guo Y, Markevych I, Zou Y, Lin S, Dong G, Liu X. Maternal residential greenness and congenital heart defects in infants: A large case-control study in Southern China. ENVIRONMENT INTERNATIONAL 2020; 142:105859. [PMID: 32593836 DOI: 10.1016/j.envint.2020.105859] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/07/2020] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Proximity to greenness has shown protective effects on coronary heart diseases by limiting exposure to environmental hazards, encouraging physical activity, and reducing mental stress. However, no studies have previously evaluated the impacts of greenness on congenital heart defects (CHDs). We examined the association between maternal residential greenness and the risks of CHDs. METHODS We conducted a case-control study (8042 children with major CHDs and 6887 controls without malformations) in 21 cities in Southern China, 2004 - 2016. CHDs cases were diagnosed and verified by obstetrician, pediatrician, or pediatric cardiologists, within one year. We estimated maternal residential greenness using satellite-derived normalized difference vegetation index (NDVI) in zones of 500 meters (m) and 1000 m surrounding participants' residences. Logistic regression models were used to assess NDVI-CHD relationships adjusting for confounders. RESULTS Interquartile range NDVI increases within 500 m or 1000 m were associated with odds ratios (OR) of 0.95 (95% confidence interval (CI): 0.92, 0.98) and 0.94 (95%CI: 0.91, 0.97) for total CHDs respectively. Air pollutants mediated 52.1% of the association. We also identified a protective threshold at 0.21 NDVI on CHD. Similar protective effects from greenness were found in most CHDs subtypes. The protective associations were stronger for fall, urban or permanent residents, higher household income maternal age ≤35 years of age, and high maternal education (ORs: ranged from 0.85 to 0.96). CONCLUSION Our findings suggest a beneficial effect of maternal residential greenness on CHDs. Further studies are needed to confirm our findings, which will help to refine preventive health and urban design strategies.
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Affiliation(s)
- Zhiqiang Nie
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Boyi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China
| | - Yanqiu Ou
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Michael S Bloom
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA
| | - Fengzhen Han
- Department of Obstetrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road , Guangzhou 510080, Guangdong, China
| | - Yanji Qu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Philip Nasca
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA
| | - Rosemary Matale
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA
| | - Jinzhuang Mai
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Yong Wu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Xiangmin Gao
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Yuming Guo
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China
| | - Iana Markevych
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China
| | - Yuxuan Zou
- School of Geographical Sciences, Guangzhou University, Guangzhou 510080, China
| | - Shao Lin
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA.
| | - Guanghui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China.
| | - Xiaoqing Liu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China.
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Sun Y, Sheridan P, Laurent O, Li J, Sacks DA, Fischer H, Qiu Y, Jiang Y, Yim IS, Jiang LH, Molitor J, Chen JC, Benmarhnia T, Lawrence JM, Wu J. Associations between green space and preterm birth: Windows of susceptibility and interaction with air pollution. ENVIRONMENT INTERNATIONAL 2020; 142:105804. [PMID: 32505016 PMCID: PMC7340571 DOI: 10.1016/j.envint.2020.105804] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 05/06/2020] [Accepted: 05/12/2020] [Indexed: 05/24/2023]
Abstract
BACKGROUND Recent studies have reported inconsistent associations between maternal residential green space and preterm birth (PTB, born < 37 completed gestational weeks). In addition, windows of susceptibility during pregnancy have not been explored and potential interactions of green space with air pollution exposures during pregnancy are still unclear. OBJECTIVES To evaluate the relationships between green space and PTB, identify windows of susceptibility, and explore potential interactions between green space and air pollution. METHODS Birth certificate records for all births in California (2001-2008) were obtained. The Normalized Difference Vegetation Index (NDVI) was used to characterized green space exposure. Gestational age was treated as a time-to-event outcome; Cox proportional hazard models were applied to estimate the association between green space exposure and PTB, moderately PTB (MPTB, gestational age < 35 weeks), and very PTB (VPTB, gestational age < 30 weeks), after controlling for maternal age, race/ethnicity, education, and median household income. Month-specific green space exposure was used to identify potential windows of susceptibility. Potential interactions between green space and air pollution [fine particulate matter < 2.5 µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3)] were examined on both additive and multiplicative scales. RESULTS In total, 3,753,799 eligible births were identified, including 341,123 (9.09%) PTBs, 124,631 (3.32%) MPTBs, and 22,313 (0.59%) VPTBs. A reduced risk of PTB was associated with increases in residential NDVI exposure in 250 m, 500 m, 1000 m, and 2000 m buffers. In the 2000 m buffer, the association was strongest for VPTB [adjusted hazard ratio (HR) per interquartile range increase in NDVI: 0.959, 95% confidence interval (CI): 0.942-0.976)], followed by MPTB (HR = 0.970, 95% CI: 0.962-0.978) and overall PTB (HR = 0.972, 95% CI: 0.966-0.978). For PTB, green space during the 3rd - 5th gestational months had stronger associations than those in the other time periods, especially during the 4th gestational month (NDVI 2000 m: HR = 0.970, 95% CI: 0.965-0.975). We identified consistent positive additive and multiplicative interactions between decreasing green space and higher air pollution. CONCLUSION This large study found that maternal exposure to residential green space was associated with decreased risk of PTB, MPTB, and VPTB, especially in the second trimester. There is a synergistic effect between low green space and high air pollution levels on PTB, indicating that increasing exposure to green space may be more beneficial for women with higher air pollution exposures during pregnancy.
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Affiliation(s)
- Yi Sun
- Program in Environmental Health Sciences, University of California, Irvine, CA 92697-3957, USA
| | - Paige Sheridan
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Olivier Laurent
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - Jia Li
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA
| | - David A Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Heidi Fischer
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Yang Qiu
- Department of Environmental Science and Engineering, College of Architecture and Environment, Sichuan University, #24 First Ring Road South Section One, Chengdu, Sichuan, China
| | - Yu Jiang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ilona S Yim
- Department of Psychological Science, University of California, Irvine, CA 92697-7085, USA
| | - Luo-Hua Jiang
- Department of Epidemiology, University of California, Irvine, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jun Wu
- Program in Environmental Health Sciences, University of California, Irvine, CA 92697-3957, USA; Program in Public Health, 653 East Peltason Drive, University of California, Irvine CA 92697-3957, USA.
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Lin L, Li Q, Yang J, Han N, Chen G, Jin C, Xu X, Liu Z, Liu J, Luo S, Raat H, Guo Y, Wang H. The associations of residential greenness with fetal growth in utero and birth weight: A birth cohort study in Beijing, China. ENVIRONMENT INTERNATIONAL 2020; 141:105793. [PMID: 32417616 DOI: 10.1016/j.envint.2020.105793] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/17/2020] [Accepted: 05/02/2020] [Indexed: 05/11/2023]
Abstract
BACKGROUND Although studies have examined the association between residential greenness and birth weight, there is no evidence regarding the association between residential greenness and fetal growth in utero. We aimed to investigate the associations of residential greenness with both fetal growth in utero and birth weight. METHODS A birth cohort (2014-2017) with 18,665 singleton pregnancies was established in Tongzhou Maternal and Child hospital of Beijing, China. Residential greenness was matched with maternal residential address and estimated from remote satellite data using normalized difference vegetation index with 200 m and 500 m buffers (NDVI-200 and NDVI-500). Fetal parameters including estimated fetal weight (EFW), abdominal circumference (AC), head circumference (HC) and femur length (FL) were assessed by ultrasound measurements during pregnancy. Fetal parameters were standardized as gestational-age- and gender-adjusted Z-score and undergrowth was defined as Z-score < -1.88. Birth weight Z-score, low birth weight (LBW) and small for gestational age (SGA) were assessed as birth outcomes. Generalized estimating equations with the autoregressive working correlation structure and generalized linear regression were used to examine the associations of residential greenness with quantitative and categorized outcomes. RESULTS We found an increase Z-score of EFW [0.054, 95% confidence interval (CI): 0.020-0.087], AC (0.045, 95%CI: 0.011-0.080) and HC (0.054, 95%CI: 0.020-0.089) associated with residential greenness above NDVI-500 median compared to less than and equal to NDVI-500 median. Stratified analyses indicated that the associations might be stronger in women exposed to lower levels of particles with aerodynamic diameters ≤2.5 µm. No associations were found in the analyses of NDVI-250 with fetal growth in utero. We didn't observe significant associations of NDVI with birth weight Z-score, LBW and SGA. CONCLUSIONS This study identified a positive association of NDVI-500 and fetal growth in utero, but we didn't observe its association with birth weight measures. Our results suggest that building sufficient green infrastructure might potentially promote early life health.
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Affiliation(s)
- Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China; National Health Commission Key Laboratory of Reproductive Health, Beijing, People's Republic of China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China; Reproductive Medical Centre, Department of Obstetrics and Gynaecology, Peking University Third Hospital, Beijing 100191, People's Republic of China
| | - Jie Yang
- Tongzhou Maternal and Child Health Hospital, Beijing 101101, People's Republic of China
| | - Na Han
- Tongzhou Maternal and Child Health Hospital, Beijing 101101, People's Republic of China
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, People's Republic of China
| | - Chuyao Jin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Xiangrong Xu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, People's Republic of China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Hein Raat
- Department of Public Health, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, People's Republic of China; National Health Commission Key Laboratory of Reproductive Health, Beijing, People's Republic of China.
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Environmental Justice in The Netherlands: Presence and Quality of Greenspace Differ by Socioeconomic Status of Neighbourhoods. SUSTAINABILITY 2020. [DOI: 10.3390/su12155889] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Making our cities more sustainable includes the need to make the transition a just one. This paper focuses on distributive justice with regard to greenspace in cities. Urbanisation and densification will likely result in less greenspace in urban residential areas, especially in deprived neighbourhoods. This is a threat to the aim of healthy and liveable cities, as greenspace has positive effects on human health and well-being. In this study, we show that in The Netherlands, neighbourhoods with a low socioeconomic status already tend to have a lower presence and quality of greenspace than those with a high socioeconomic status. This outcome is independent of the greenness metric that was used. However, depending on the precise greenness metric, socioeconomic differences in greenness between neighbourhoods are smaller in highly urban municipalities than in less urban municipalities, rather than larger. The paper discusses the implications of these outcomes for policy and planning regarding urban greenspace.
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Islam MZ, Johnston J, Sly PD. Green space and early childhood development: a systematic review. REVIEWS ON ENVIRONMENTAL HEALTH 2020; 35:189-200. [PMID: 32167931 DOI: 10.1515/reveh-2019-0046] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 01/14/2020] [Indexed: 06/10/2023]
Abstract
Background The urban environment presents significant health challenges for children, such as discouraging physical exercise and increasing exposure to air pollution, excessive noise and higher temperatures. Reducing exposures to these negative environmental factors can have great benefits on a child's well-being and lower their risk of developing chronic diseases later in life. There is increasing evidence that suggests that the presence of urban green space can offer benefits to human health and well-being. While studies have reported the impact green space exposure has on the individual health outcomes of children, few have paid attention to the link between green space and the child's development. This review aims to synthesise the evidence of the effect green space exposure has on early childhood development. Objectives To explore the relationship between green space and early childhood development. Methods An online search was conducted using pre-identified keywords related to green space and early childhood development using search engines such as PubMed, MEDLINE, Web of Science, MeSH and PsycINFO. Peer-reviewed papers published in the past 10 years were included in this review. Papers were selected, extracted, analysed and interpreted based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results Fifty-one papers were identified, of which 28 were excluded due to duplications or irrelevance, yielding a total of 23 papers to be reviewed. Articles were categorised based on reported outcomes: perinatal health, physical health, psychological health and respiratory health. An increase in green space during pregnancy was associated with increased birth weight and a decreased risk for low birth weight (LBW). Further, higher greenness exposure during childhood was associated with increased levels of physical activity and a lower risk of obesity and neurodevelopmental issues such as inattentiveness. While green space exposure was negatively associated with wheezing and bronchitis in some cohorts, certain plant species increase asthmatic symptoms during childhood, indicating that plant species type is an important determinant. Conclusion The extant literature on green space exposure and early childhood development is small. Regardless, the existing research provides promising insights into the benefits of green space exposure on children's health and well-being in an ever-increasing urban world. Further research is needed on the causal relationships between both quantity and quality of green space to early childhood development.
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Affiliation(s)
- Mohammad Zahirul Islam
- Children's Health and Environment Program, Centre for Children's Health Research, The University of Queensland, Brisbane, Queensland, Australia
- L7 Centre for Children's Health Research, 62 Graham St, South Brisbane, 4101 QLD, Australia
| | - Jessika Johnston
- Children's Health and Environment Program, Centre for Children's Health Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Peter D Sly
- Children's Health and Environment Program, Centre for Children's Health Research, The University of Queensland, Brisbane, Queensland, Australia
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Zhan Y, Liu J, Lu Z, Yue H, Zhang J, Jiang Y. Influence of residential greenness on adverse pregnancy outcomes: A systematic review and dose-response meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 718:137420. [PMID: 32325616 DOI: 10.1016/j.scitotenv.2020.137420] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/16/2020] [Accepted: 02/17/2020] [Indexed: 05/04/2023]
Abstract
BACKGROUND With the development of urbanization, there is a decreasing tendency for people contact with natural greenness. Whether maternal exposure to greenness has an impact on pregnancy complications and pregnancy outcomes remains to be confirmed. OBJECTIVES To estimate the association and dose-response relationship between residential greenness and pregnancy outcomes. DATA SOURCES PubMed, Embase, Ovid, Scopus and Web of Science from inception to 1st December 2019 were searched. SYNTHESIS METHODS The summary regression coefficient (β) and odds ratio (OR) with corresponding 95% confidence interval (95%CI) were calculated. The linear dose-response relationship between greenness and adverse pregnancy outcomes was also investigated. RESULTS Overall, 36 studies with a total of 11,983,089 participants were included. Birth weight was significantly higher in highest level of greenness exposure group compared to lowest level group (e.g. β:20.22, 95%CI:13.50-26.93 at 100 m buffer). The odds of low birth weight (LBW) decreased in the highest level of group compared to lowest level group (e.g. OR:0.86, 95%CI:0.75-0.99 at 100 m buffer). The odds of small for gestational age (SGA) also decreased in the highest group (OR:0.93, 95%CI:0.88-1.00 at 100 m buffer). In addition, maternal exposure to greenness was associated with increased head circumference and decreased mental disorders. The dose-response models showed a 2% decrease risk of LBW per 0.1 normalized difference vegetation index (NDVI) increase within 300 m buffer (OR:0.98, 95%CI:0.97-0.99, P < 0.001) and a 1% decrease risk of SGA per 0.1 NDVI increase within 300 m buffer (OR:0.99, 95%CI:0.98-1.00, P = 0.037). No significant associations were found on preterm birth, gestational age, gestational diabetes mellitus, gestational hypertension or preeclampsia. CONCLUSIONS This review confirms an inverse association between residential greenness and adverse pregnancy outcomes. Findings of our study provide evidences for pregnant women to increase greenness exposure.
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Affiliation(s)
- Yongle Zhan
- School of Public Health, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China.
| | - Jintao Liu
- Department of Urban Planning, School of Architecture & Fine Art, Dalian University of Technology, Dalian 116024, China
| | - Zhiming Lu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Hexin Yue
- School of Public Health, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
| | - Jingwen Zhang
- School of Public Health, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
| | - Yu Jiang
- School of Public Health, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China.
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Akaraci S, Feng X, Suesse T, Jalaludin B, Astell-Burt T. A Systematic Review and Meta-Analysis of Associations between Green and Blue Spaces and Birth Outcomes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17082949. [PMID: 32344732 PMCID: PMC7215926 DOI: 10.3390/ijerph17082949] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 04/13/2020] [Accepted: 04/21/2020] [Indexed: 12/13/2022]
Abstract
Previous studies suggest that green and blue spaces may promote several health outcomes including birth outcomes. However, no synthesis of previous work has specifically asked policy-relevant questions of how much and what type is needed in every neighborhood to elicit these benefits at the population level. A systematic review and meta-analyses were conducted to synthesize thirty-seven studies on the association between residential green and blue spaces and pregnancy outcomes. Meta-analyses were performed for birth weight (BW), small for gestational age (SGA), low birth weight (LBW) and preterm birth (PTB). Increase in residential greenness was statistically significantly associated with higher BW [β = 0.001, 95%CI: (<0.001, 0.002)] and lower odds of SGA [OR = 0.95, 95%CI: (0.92, 0.97)]. Associations between green space and LBW and PTB were as hypothesized but not statistically significant. Associations between blue spaces and pregnancy outcomes were not evident. No study explicitly examined questions of threshold, though some evidence of nonlinearity indicated that moderate amounts of green space may support more favorable pregnancy outcomes. Policy-relevant green and blue space exposures involving theory-driven thresholds warrant testing to ensure future investments in urban greening promote healthier pregnancy outcomes.
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Affiliation(s)
- Selin Akaraci
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW 2522, Australia; (S.A.); (X.F.)
| | - Xiaoqi Feng
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW 2522, Australia; (S.A.); (X.F.)
- School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
- Menzies Centre for Health Policy, University of Sydney, Sydney, NSW 2006, Australia
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Thomas Suesse
- NIASRA, National Institute for Applied Statistics Research Australia School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia;
| | - Bin Jalaludin
- Ingham Institute for Applied Medical Research, University of New South Wales, Sydney, NSW 2170, Australia;
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW 2522, Australia; (S.A.); (X.F.)
- Menzies Centre for Health Policy, University of Sydney, Sydney, NSW 2006, Australia
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
- School of Public Health, Peking Union Medical College and The Chinese Academy of Medical Sciences, Beijing 100730, China
- Correspondence:
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Lin L, Li Q, Yang J, Han N, Jin C, Xu X, Liu Z, Liu J, Luo S, Raat H, Wang H. The associations of particulate matters with fetal growth in utero and birth weight: A birth cohort study in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 709:136246. [PMID: 31927434 DOI: 10.1016/j.scitotenv.2019.136246] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 11/28/2019] [Accepted: 12/18/2019] [Indexed: 05/07/2023]
Abstract
BACKGROUND Previous studies examined the associations of particulate matters (PM) with fetal growth in utero or birth weight with inconsistent results, and few studies investigated that whether the associations of PM with fetal growth in utero also present at birth. We aimed to investigate the associations of PM with both fetal growth in utero and birth weight. METHODS We established a birth cohort (2014-2017) with 18,863 singleton pregnancies in Tongzhou Maternal and Child Hospital of Beijing, China. Maternal exposure to PM with aerodynamic diameters ≤2.5 μm and ≤ 10 μm (PM2.5/PM10) during pregnancy was estimated using the inverse distance weighting method. Estimated birth weight (EFW) was assessed by ultrasound measurements and birth weight was measured at birth, which were both standardized as gestational-age- and gender-adjusted Z-score. EFW undergrowth, low birth weight (LBW) and small-for-gestational-age were defined as the categorized outcomes. Generalized estimating equations and generalized linear regression were used to examine the associations of PM with quantitative and categorized outcomes, controlling for temperature, greenspace and individual covariates. RESULTS A 10 μg/m3 increase in PM2.5 and PM10 were associated with lower EFW Z-score [-0.031, 95% confident interval (CI): -0.047, -0.016 and -0.030, 95% CI: -0.043, -0.017]. A 10 μg/m3 increase in PM2.5 was associated with lower birth weight Z-score (-0.035, 95% CI: -0.061, -0.010) and higher risk of LBW (OR = 1.240, 95% CI: 1.019, 1.508). These results remained robust in co-pollutant models and sensitivity analyses. We didn't find significant results in other analyses. CONCLUSIONS The study identified an inverse association between PM and fetal growth in utero. The association between PM2.5 and fetal growth persisted from pregnancy to birth. This study supported that further actions towards controlling air pollution are strongly recommended for promoting early-life health.
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Affiliation(s)
- Lizi Lin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China; Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China; Reproductive Medical Centre, Department of Obstetrics and Gynaecology, Peking University Third Hospital, Beijing, 100191, People's Republic of China
| | - Jie Yang
- Maternal and Child Health Care Hospital of Tongzhou District, Beijing 101101, People's Republic of China
| | - Na Han
- Maternal and Child Health Care Hospital of Tongzhou District, Beijing 101101, People's Republic of China
| | - Chuyao Jin
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China
| | - Xiangrong Xu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China
| | - Zheng Liu
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Healths, Peking University, Beijing 100191, People's Republic of China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China
| | - Hein Raat
- Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, People's Republic of China.
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Rojas-Rueda D, Nieuwenhuijsen MJ, Gascon M, Perez-Leon D, Mudu P. Green spaces and mortality: a systematic review and meta-analysis of cohort studies. Lancet Planet Health 2019; 3:e469-e477. [PMID: 31777338 PMCID: PMC6873641 DOI: 10.1016/s2542-5196(19)30215-3] [Citation(s) in RCA: 223] [Impact Index Per Article: 44.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 10/04/2019] [Accepted: 10/17/2019] [Indexed: 05/12/2023]
Abstract
BACKGROUND Green spaces have been proposed to be a health determinant, improving health and wellbeing through different mechanisms. We aimed to systematically review the epidemiological evidence from longitudinal studies that have investigated green spaces and their association with all-cause mortality. We aimed to evaluate this evidence with a meta-analysis, to determine exposure-response functions for future quantitative health impact assessments. METHODS We did a systematic review and meta-analysis of cohort studies on green spaces and all-cause mortality. We searched for studies published and indexed in MEDLINE before Aug 20, 2019, which we complemented with an additional search of cited literature. We included studies if their design was longitudinal; the exposure of interest was measured green space; the endpoint of interest was all-cause mortality; they provided a risk estimate (ie, a hazard ratio [HR]) and the corresponding 95% CI for the association between green space exposure and all-cause mortality; and they used normalised difference vegetation index (NDVI) as their green space exposure definition. Two investigators (DR-R and DP-L) independently screened the full-text articles for inclusion. We used a random-effects model to obtain pooled HRs. This study is registered with PROSPERO, CRD42018090315. FINDINGS We identified 9298 studies in MEDLINE and 13 studies that were reported in the literature but not indexed in MEDLINE, of which 9234 (99%) studies were excluded after screening the titles and abstracts and 68 (88%) of 77 remaining studies were excluded after assessment of the full texts. We included nine (12%) studies in our quantitative evaluation, which comprised 8 324 652 individuals from seven countries. Seven (78%) of the nine studies found a significant inverse relationship between an increase in surrounding greenness per 0·1 NDVI in a buffer zone of 500 m or less and the risk of all-cause mortality, but two studies found no association. The pooled HR for all-cause mortality per increment of 0·1 NDVI within a buffer of 500 m or less of a participant's residence was 0·96 (95% CI 0·94-0·97; I2, 95%). INTERPRETATION We found evidence of an inverse association between surrounding greenness and all-cause mortality. Interventions to increase and manage green spaces should therefore be considered as a strategic public health intervention. FUNDING World Health Organization.
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Affiliation(s)
- David Rojas-Rueda
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Municipal Institute of Medical Research, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain.
| | - Mark J Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Municipal Institute of Medical Research, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Mireia Gascon
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Municipal Institute of Medical Research, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Daniela Perez-Leon
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Municipal Institute of Medical Research, Barcelona, Spain; Unidad Docente de Medicina Preventiva y Salud Pública, Hospital del Mar, Barcelona, Spain
| | - Pierpaolo Mudu
- Department of Public Health, Environmental and Social Determinants of Health, World Health Organization, Geneva, Switzerland
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Laurent O, Benmarhnia T, Milesi C, Hu J, Kleeman MJ, Cockburn M, Wu J. Relationships between greenness and low birth weight: Investigating the interaction and mediation effects of air pollution. ENVIRONMENTAL RESEARCH 2019; 175:124-132. [PMID: 31112849 DOI: 10.1016/j.envres.2019.05.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 04/22/2019] [Accepted: 05/01/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Associations between residential greenness and improved birth weight have been increasingly reported, but underlying mechanisms and interactions with other environmental exposures are still unclear. OBJECTIVES To study the relationships between low birth weight (LBW, <2500 g), residential greenness, and the potential influence of air pollution in these relationships (interaction and mediation) in California, over the period 2001-2008. METHODS Residential greenness around maternal homes was characterized using the Normalized Difference Vegetation Index (NDVI). Complementary indicators of air pollution exposure reflected its main components. Birth weight and maternal characteristics were obtained from birth certificate records. In this case-cohort study, associations between greenness and LBW were investigated using multi-level Poisson regression with random effect at the hospital level. We investigated potential interaction of greenness and air pollutants on both additive and multiplicative scales. Mediation analyses were conducted to estimate the potential contribution of local variations in air pollutant concentrations associated with greenness on LBW risk. RESULTS In total 72,632 LBW cases were included. A reduction of LBW risk was associated with an increase in NDVI (adjusted risk ratio per inter-quartile range in NDVI: 0.963; 95% confidence interval: 0.947; 0.978). We observed no interaction between NDVI and air pollution on LBW risk. The estimated mediating effect of fine particulate matter in the impact of greenness on LBW was 12%. CONCLUSION This large study confirms that residential greenness is associated with a reduced risk of LBW and suggests that greenness might benefit to LBW partly through a local reduction in air pollution.
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Affiliation(s)
- Olivier Laurent
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine, CA, 92697-3957, USA
| | - Tarik Benmarhnia
- Family Medicine and Public Health Department, University of California, San Diego, 9500 Gilman Drive #0725, CA, La Jolla, 92093, USA
| | | | - Jianlin Hu
- Department of Civil and Environmental Engineering. 1 Shields Avenue. University of California, Davis, CA, 95616, USA; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China
| | - Michael J Kleeman
- Department of Civil and Environmental Engineering. 1 Shields Avenue. University of California, Davis, CA, 95616, USA
| | - Myles Cockburn
- Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Los Angeles, CA, 90089-9175, USA
| | - Jun Wu
- Program in Public Health, 653 East Peltason Drive, University of California, Irvine, CA, 92697-3957, USA.
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Larkin A, Hystad P. Evaluating street view exposure measures of visible green space for health research. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2019; 29:447-456. [PMID: 29352209 DOI: 10.1038/s41370-018-0017-1] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 09/25/2017] [Accepted: 11/21/2017] [Indexed: 05/04/2023]
Abstract
Urban green space, or natural environments, are associated with multiple physical and mental health outcomes. Several proposed pathways of action for these benefits (e.g., stress reduction and attention restoration) require visual perception of green space; however, existing green space exposure measures commonly used in epidemiological studies do not capture street-scale exposures. We downloaded 254 Google Street View (GSV) panorama images from Portland, Oregon and calculated percent of green in each image, called Green View Index (GVI). For these locations we also calculated satellite-based normalized difference vegetation index (NDVI), % tree cover, % green space, % street tree buffering, distance to parks, and several neighborhood socio-economic variables. Correlations between the GVI and other green space measures were low (-0.02 to 0.50), suggesting GSV-based measures captured unique information about green space exposures. We further developed a GVI:NDVI ratio, which was associated with the amount of vertical green space in an image. The GVI and GVI:NDVI ratio were weakly related to neighborhood socioeconomic status and are therefore less susceptible to confounding in health studies compared to other green space measures. GSV measures captured unique characteristics of the green space environment and offer a new approach to examine green space and health associations in epidemiological research.
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Affiliation(s)
- Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
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Neighbourhood greenness and birth outcomes in a Swedish birth cohort – A short communication. Health Place 2019; 57:200-203. [DOI: 10.1016/j.healthplace.2019.04.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 04/23/2019] [Accepted: 04/26/2019] [Indexed: 11/18/2022]
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Abstract
PURPOSE OF REVIEW Preterm birth is the leading cause of global child mortality, and survivors are at increased risk of multiple morbidities that can continue into adulthood. Recent studies have suggested that maternal exposure to air pollution and high and low ambient temperatures may increase the risk of preterm birth, whereas proximity to green space may decrease it. This review summarizes these findings and suggests avenues for further research. RECENT FINDINGS Particulate matter may be associated with an increased risk of preterm birth, but the magnitude of the effect remains unclear. Heat and cold likely increase the risk of preterm birth, with stronger evidence for heat. The first and third trimesters may be sensitive periods for exposure to both temperature and particulate matter, but the underlying biological mechanisms are incompletely understood. Context-appropriate green space can substantially reduce particulate matter levels and mitigate urban heat islands. SUMMARY In a warming, urbanizing world, exposure to unusual temperatures and elevated particulate matter levels represent an increasing risk for pregnant women. Green infrastructure might help mitigate this risk, but further research is needed to confirm its effects in complex urban environments and evaluate the contribution of both indoor and outdoor particulate matter and air temperature to personal exposure and preterm birth.
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Nieuwenhuijsen MJ, Agier L, Basagaña X, Urquiza J, Tamayo-Uria I, Giorgis-Allemand L, Robinson O, Siroux V, Maitre L, de Castro M, Valentin A, Donaire D, Dadvand P, Aasvang GM, Krog NH, Schwarze PE, Chatzi L, Grazuleviciene R, Andrusaityte S, Dedele A, McEachan R, Wright J, West J, Ibarluzea J, Ballester F, Vrijheid M, Slama R. Influence of the Urban Exposome on Birth Weight. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:47007. [PMID: 31009264 PMCID: PMC6785228 DOI: 10.1289/ehp3971] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 02/20/2019] [Accepted: 03/07/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND The exposome is defined as the totality of environmental exposures from conception onwards. It calls for providing a holistic view of environmental exposures and their effects on human health by evaluating multiple environmental exposures simultaneously during critical periods of life. OBJECTIVE We evaluated the association of the urban exposome with birth weight. METHODS We estimated exposure to the urban exposome, including the built environment, air pollution, road traffic noise, meteorology, natural space, and road traffic (corresponding to 24 environmental indicators and 60 exposures) for nearly 32,000 pregnant women from six European birth cohorts. To evaluate associations with either continuous birth weight or term low birth weight (TLBW) risk, we primarily relied on the Deletion-Substitution-Addition (DSA) algorithm, which is an extension of the stepwise variable selection method. Second, we used an exposure-by-exposure exposome-wide association studies (ExWAS) method accounting for multiple hypotheses testing to report associations not adjusted for coexposures. RESULTS The most consistent statistically significant associations were observed between increasing green space exposure estimated as Normalized Difference Vegetation Index (NDVI) and increased birth weight and decreased TLBW risk. Furthermore, we observed statistically significant associations among presence of public bus line, land use Shannon's Evenness Index, and traffic density and birth weight in our DSA analysis. CONCLUSION This investigation is the first large urban exposome study of birth weight that tests many environmental urban exposures. It confirmed previously reported associations for NDVI and generated new hypotheses for a number of built-environment exposures. https://doi.org/10.1289/EHP3971.
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Affiliation(s)
- Mark J. Nieuwenhuijsen
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lydiane Agier
- Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes, Grenoble, France
| | - Xavier Basagaña
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jose Urquiza
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ibon Tamayo-Uria
- Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Lise Giorgis-Allemand
- Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes, Grenoble, France
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Valérie Siroux
- Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes, Grenoble, France
| | - Léa Maitre
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Antonia Valentin
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - David Donaire
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Payam Dadvand
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | | | | | - Leda Chatzi
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
- Department of Social Medicine, University of Crete, Greece
- Department of Genetics & Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | | | | | | | - Rosie McEachan
- Bradford Institute for Health Research Bradford, Bradford, UK
| | - John Wright
- Bradford Institute for Health Research Bradford, Bradford, UK
| | - Jane West
- Bradford Institute for Health Research Bradford, Bradford, UK
| | - Jesús Ibarluzea
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Faculty of Psychology, University of the Basque Country UPV/EHU, San Sebastian, Basque Country, Spain
- Health Research Institute, BIODONOSTIA, San Sebastian, Basque Country, Spain
- Sub-Directorate for Public Health of Gipuzkoa, Department of Health, Government of the Basque Country, San Sebastian, Basque Country, Spain
| | - Ferran Ballester
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Nursing School, Universitat de València, Valencia, Spain
- Joint Research Unit of Epidemiology and Environmental Health, FISABIO–Universitat Jaume I–Universitat de València, Valencia, Spain
| | - Martine Vrijheid
- ISGlobal (Institute for Global Health), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Rémy Slama
- Team of environmental epidemiology applied to reproduction and respiratory health, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Institute for Advanced Biosciences (IAB), CNRS, Université Grenoble Alpes, Grenoble, France
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Son JY, Lee JT, Lane KJ, Bell ML. Impacts of high temperature on adverse birth outcomes in Seoul, Korea: Disparities by individual- and community-level characteristics. ENVIRONMENTAL RESEARCH 2019; 168:460-466. [PMID: 30396130 PMCID: PMC6263858 DOI: 10.1016/j.envres.2018.10.032] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 10/22/2018] [Accepted: 10/27/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUND Few studies have examined temperature's effect on adverse birth outcomes and relevant effect modifiers. OBJECTIVES We investigated associations between heat and adverse birth outcomes and how individual and community characteristics affect these associations for Seoul, Korea, 2004-2012. METHODS We applied logistic regression to estimate associations between heat index during pregnancy, 4 weeks before delivery, and 1 week before delivery and risk of preterm birth and term low birth weight. We investigated effect modification by individual (infant's sex, mother's age, and mother's educational level) and community characteristics (socioeconomic status (SES) and percentage of green areas near residence at the gu level, which is similar to borough in Western countries). We also evaluated associations by combinations of individual- and community-level SES. RESULTS Heat exposure during whole pregnancy was significantly associated with risk of preterm birth. An interquartile (IQR) increase (5.5 °C) in heat index during whole pregnancy was associated with an odds ratio (OR) of 1.033 (95% CI 1.005, 1.061) with NO2 adjustment, and 1.028 (95% CI 0.998, 1.059) with PM10 adjustment, for preterm birth. We also found significant associations with heat exposure during 4 weeks before delivery and 1 week before delivery on preterm birth. We did not observe significant associations with term low birth weight. Higher risk of heat on preterm birth was associated with some individual characteristics such as infants with younger or older mothers and lower community-level SES. For combinations of individual- and community-level SES, the highest and most significant estimated effect was found for infants with low educated mothers living in low SES communities, with suggestions of effects of both individual-and community-level SES. CONCLUSIONS Our findings have implications for evaluating impacts of high temperatures on birth outcomes, estimating health impacts of climate change, and identifying which subpopulations and factors are most relevant for disparities in this association.
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Affiliation(s)
- Ji-Young Son
- School of Forestry & Environmental Studies, Yale University, CT, USA.
| | - Jong-Tae Lee
- Department of Environmental Health, College of Health Science, Korea University, Seoul, Republic of Korea
| | - Kevin J Lane
- Department of Environmental Health, School of Public Health, Boston University, MA, USA
| | - Michelle L Bell
- School of Forestry & Environmental Studies, Yale University, CT, USA
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Agay-Shay K, Michael Y, Basagaña X, Martínez-Solanas È, Broday D, Lensky IM, Rudolf M, Rubin L, Kent R, Levy N, Haklai Z, Grotto I. Mean and variance of greenness and pregnancy outcomes in Tel Aviv during 2000–14: longitudinal and cross-sectional approaches. Int J Epidemiol 2018; 48:1054-1072. [DOI: 10.1093/ije/dyy249] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2018] [Indexed: 01/02/2023] Open
Abstract
Abstract
Background
Natural environments may have beneficial impacts on pregnancy outcomes. However, longitudinal evidence is limited and the associations with variance in surrounding greenness is unknown. Our objective was to evaluate these associations among 73 221 live births in Tel Aviv, Israel.
Methods
Longitudinal exposure to mean of greenness during pregnancy and trimesters were calculated using satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) Normalised Difference Vegetation Index (NDVI) data. In addition, exposure to mean and variation of NDVI from high-resolution satellite and percentage of tree cover [Vegetation Continuous Fields (VCF)] at 300-m buffer were evaluated in a cross-sectional approach. Generalized linear models were used to estimate the crude and adjusted associations. We explore the possible mediating role of ambient exposures and distance to ‘outdoor gyms’ located in parks.
Results
Crude beneficial associations between exposure to higher mean NDVI during pregnancy and pregnancy outcomes were observed [for birthweight, 3rd/1st tertile exposure increased the mean by 25.5 g, 95% confidence intervals (CIs): 15.4, 35.5] and decreased the odds of low birthweight, small for gestational age, preterm deliveries (PTD) and very PTD. Adjustment for individual and neighbourhood-level markers of socio-economic status (SES) attenuated all the associations. Strongest associations were observed during the first and second trimesters. Cross-sectional associations for mean greenness were similar with narrower CIs, and associations with NDVI were stronger than with tree cover and stronger for mean compared with variance of greenness. Associations were consistent for term births, different buffer sizes and for further adjustment to maternal education. Stronger associations were observed for lowest SES. Distance to ‘outdoor gyms’ and variance of greenness had the largest estimates of mediation.
Conclusion
This study adds to the limited information on when exposure to greenness is most beneficial, on the association with variance of greenness and the possible pathways. These observations require confirmation in other populations.
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Affiliation(s)
- Keren Agay-Shay
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Yaron Michael
- Department of Geography and Environment, Bar Ilan University, Ramat-Gan, Israel
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Èrica Martínez-Solanas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - David Broday
- Department of Environmental, Water, and Agricultural Engineering, Faculty of Civil and Environmental Engineering, Technion—Israel Institute of Technology, Haifa, Israel
| | - Itamar M Lensky
- Department of Geography and Environment, Bar Ilan University, Ramat-Gan, Israel
| | - Mary Rudolf
- Department of Population Health, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Lisa Rubin
- Department of Maternal and Child Health, Public Health Services, Ministry of Health, Jerusalem, Israel
- School of Public Health, University of Haifa, Haifa, Israel
| | - Rafi Kent
- Department of Geography and Environment, Bar Ilan University, Ramat-Gan, Israel
| | - Nadav Levy
- Public Transport Unit, Tel Aviv Municipality, Tel Aviv, Israel
| | - Ziona Haklai
- Health Information Division, Ministry of Health, Jerusalem, Israel
| | - Itamar Grotto
- Ministry of Health, Jerusalem, Israel
- School of Public Health, Faculty of Health Science, Ben-Gurion University of the Negev, Beer Sheva, Israel
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Cusack L, Sbihi H, Larkin A, Chow A, Brook JR, Moraes T, Mandhane PJ, Becker AB, Azad MB, Subbarao P, Kozyrskyj A, Takaro TK, Sears MR, Turvey SE, Hystad P. Residential green space and pathways to term birth weight in the Canadian Healthy Infant Longitudinal Development (CHILD) Study. Int J Health Geogr 2018; 17:43. [PMID: 30514315 PMCID: PMC6280529 DOI: 10.1186/s12942-018-0160-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Accepted: 11/22/2018] [Indexed: 01/30/2023] Open
Abstract
Background A growing number of studies observe associations between the amount of green space around a mother’s home and positive birth outcomes; however, the robustness of this association and potential pathways of action remain unclear.
Objectives To examine associations between mother’s residential green space and term birth weight within the Canadian Healthy Infant Longitudinal Development (CHILD) study and examine specific hypothesized pathways. Methods We examined 2510 births located in Vancouver, Edmonton, Winnipeg, and Toronto Canada. Green space was estimated around mother’s residences during pregnancy using Landsat 30 m normalized difference vegetation index (NDVI). We examined hypothesized pathways of: (1) reduction of environmental exposure; (2) built environment features promoting physical activity; (3) psychosocial conditions; and (4) psychological influences. Linear regression was used to assess associations between green space and term birth weight adjusting first for a comprehensive set of confounding factors and then incrementally for pathway variables. Results Fully adjusted models showed non-statistically significant increases in term birth weight with increasing green space. For example, a 0.1 increase in NDVI within 500 m was associated with a 21.5 g (95% CI − 4.6, 47.7) increase in term birth weight. Associations varied by city and were most robust for high-density locations. For the two largest cities (Vancouver and Toronto), we observed an increase in birth weight of 41.2 g (95% CI 7.8, 74.6) for a 0.1 increase in NDVI within 500 m. We did not observe substantial reductions in the green space effect on birth weight when adjusting for pathway variables. Conclusion Our results highlight the need to further characterize the interactions between green space, urban density and climate related factors as well as the pathways linking residential green space to birth outcomes.
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Affiliation(s)
| | - Hind Sbihi
- University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital, Vancouver, BC, Canada
| | | | | | | | - Theo Moraes
- Hospital for Sick Children, Toronto, ON, Canada
| | | | | | | | | | | | | | | | - Stuart E Turvey
- University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital, Vancouver, BC, Canada
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, 2520 SW Campus Way, Corvallis, OR, 97331, USA.
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Reid CE, Kubzansky LD, Li J, Shmool JL, Clougherty JE. It's not easy assessing greenness: A comparison of NDVI datasets and neighborhood types and their associations with self-rated health in New York City. Health Place 2018; 54:92-101. [DOI: 10.1016/j.healthplace.2018.09.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 06/12/2018] [Accepted: 09/04/2018] [Indexed: 10/28/2022]
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Chiabai A, Quiroga S, Martinez-Juarez P, Higgins S, Taylor T. The nexus between climate change, ecosystem services and human health: Towards a conceptual framework. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 635:1191-1204. [PMID: 29710574 DOI: 10.1016/j.scitotenv.2018.03.323] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 03/26/2018] [Accepted: 03/26/2018] [Indexed: 05/11/2023]
Abstract
This paper addresses the impact that changes in natural ecosystems can have on health and wellbeing focusing on the potential co-benefits that green spaces could provide when introduced as climate change adaptation measures. Ignoring such benefits could lead to sub-optimal planning and decision-making. A conceptual framework, building on the ecosystem-enriched Driver, Pressure, State, Exposure, Effect, Action model (eDPSEEA), is presented to aid in clarifying the relational structure between green spaces and human health, taking climate change as the key driver. The study has the double intention of (i) summarising the literature with a special emphasis on the ecosystem and health perspectives, as well as the main theories behind these impacts, and (ii) modelling these findings into a framework that allows for multidisciplinary approaches to the underlying relations between human health and green spaces. The paper shows that while the literature based on the ecosystem perspective presents a well-documented association between climate, health and green spaces, the literature using a health-based perspective presents mixed evidence in some cases. The role of contextual factors and the exposure mechanism are rarely addressed. The proposed framework could serve as a multidisciplinary knowledge platform for multi-perspecitve analysis and discussion among experts and stakeholders, as well as to support the operationalization of quantitative assessment and modelling exercises.
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Affiliation(s)
- Aline Chiabai
- BC3-Basque Centre for Climate Change, Bilbao, Spain.
| | - Sonia Quiroga
- Department of Economics, Universidad de Alcalá, Spain.
| | | | - Sahran Higgins
- European Centre for the Environment and Human Health, University of Exeter Medical School, United Kingdom
| | - Tim Taylor
- European Centre for the Environment and Human Health, University of Exeter Medical School, United Kingdom.
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Browning MHEM, Rigolon A. Do Income, Race and Ethnicity, and Sprawl Influence the Greenspace-Human Health Link in City-Level Analyses? Findings from 496 Cities in the United States. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15071541. [PMID: 30037037 PMCID: PMC6068800 DOI: 10.3390/ijerph15071541] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 07/12/2018] [Accepted: 07/17/2018] [Indexed: 12/25/2022]
Abstract
Examination of the greenspace—human health relationship operates in at least four dimensions: what is considered greenspace? which moderators and mediators are included? what outcomes are measured? and which units of analysis (e.g., individuals, cities) are studied? We examined three of these four dimensions in a cross-sectional study of 496 of the 500 most populated US cities (total population size = 97,574,613, average population per city = 197,920). Spatial average models tested the effect of two greenspace measures (Normalized Difference Vegetation Index greenness and tree cover) on two outcomes (obesity and mental health), while adjusting for income, race and ethnicity, sprawl, age, sex, physical inactivity, median age of housing, and total population. We conducted analyses at the city scale, which is an understudied unit of analysis, and compared findings to individual- and neighborhood-level studies. In two of four models, greenspace was associated with better health. We found race and ethnicity moderated this relationship with varying results. In full sample analyses, cities with greater percentages of non-Hispanic Whites showed links between higher tree cover and lower obesity but marginal relationships between higher greenness and lower obesity. In subsample analyses with majority-non-Hispanic Black cities, higher tree cover was associated with lower obesity and better mental health. These findings advance previous research by showing that race and ethnicity moderate the greenspace—health link at the city level.
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Affiliation(s)
- Matthew H E M Browning
- Department of Recreation, Sport and Tourism, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
| | - Alessandro Rigolon
- Department of Recreation, Sport and Tourism, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
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50
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Fong KC, Kloog I, Coull BA, Koutrakis P, Laden F, Schwartz JD, James P. Residential Greenness and Birthweight in the State of Massachusetts, USA. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15061248. [PMID: 29895795 PMCID: PMC6025231 DOI: 10.3390/ijerph15061248] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 06/04/2018] [Accepted: 06/07/2018] [Indexed: 11/16/2022]
Abstract
Natural vegetation, or greenness, may benefit maternal health and consequently, fetal growth, by providing opportunities for physical activity and psychological restoration, and decreasing detrimental environmental exposures. We retrieved Massachusetts Birth Registry data from 2001⁻2013 and investigated the association between residential greenness and birthweight in full-term births (≥37 weeks gestation). We calculated average residential greenness during pregnancy using 250 m normalized difference vegetation index (NDVI) from satellites. We estimated associations between greenness and continuous birthweight, term low birthweight (TLBW: <2500 g), and small for gestational age (SGA: <10th percentile of birthweight stratified by sex and gestational age) adjusted for individual and neighborhood covariates and considered nonlinearity and effect modification. Higher greenness exposure was associated with higher birthweight with stronger associations in the lower than higher range of greenness. Greenness was associated with lower odds of TLBW (OR 0.98; 95% CI 0.97, 0.99 per 0.1 increase in NDVI) and SGA (OR 0.98; 95% 0.97, 0.99) and associations varied by population density (TLBW) and socioeconomic status (TLBW, SGA). Our results suggest that greenness is beneficial to fetal growth exhibited by higher birthweight and lower odds of TLBW and SGA. Unlike prior studies, associations with TLBW and SGA appeared stronger among those with higher socioeconomic status.
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Affiliation(s)
- Kelvin C Fong
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva 653, Israel.
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02115, USA.
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