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Patwary MM, Sakhvidi MJZ, Ashraf S, Dadvand P, Browning MHEM, Alam MA, Bell ML, James P, Astell-Burt T. Impact of green space and built environment on metabolic syndrome: A systematic review with meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:170977. [PMID: 38360326 DOI: 10.1016/j.scitotenv.2024.170977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/03/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
Metabolic Syndrome presents a significant public health challenge associated with an increased risk of noncommunicable diseases such as cardiovascular conditions. Evidence shows that green spaces and the built environment may influence metabolic syndrome. We conducted a systematic review and meta-analysis of observational studies published through August 30, 2023, examining the association of green space and built environment with metabolic syndrome. A quality assessment of the included studies was conducted using the Office of Health Assessment and Translation (OHAT) tool. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) assessment was used to evaluate the overall quality of evidence. Our search retrieved 18 studies that met the inclusion criteria and were included in our review. Most were from China (n = 5) and the USA (n = 5), and most used a cross-sectional study design (n = 8). Nine studies (50 %) reported only green space exposures, seven (39 %) reported only built environment exposures, and two (11 %) reported both built environment and green space exposures. Studies reported diverse definitions of green space and the built environment, such as availability, accessibility, and quality, particularly around participants' homes. The outcomes focused on metabolic syndrome; however, studies applied different definitions of metabolic syndrome. Meta-analysis results showed that an increase in normalized difference vegetation index (NDVI) within a 500-m buffer was associated with a lower risk of metabolic syndrome (odds ratio [OR] = 0.90, 95%CI = 0.87-0.93, I2 = 22.3 %, n = 4). A substantial number of studies detected bias for exposure classification and residual confounding. Overall, the extant literature shows a 'limited' strength of evidence for green space protecting against metabolic syndrome and an 'inadequate' strength of evidence for the built environment associated with metabolic syndrome. Studies with more robust study designs, better controlled confounding factors, and stronger exposure measures are needed to understand better what types of green spaces and built environment features influence metabolic syndrome.
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Affiliation(s)
- Muhammad Mainuddin Patwary
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh.
| | - Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Yazd Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sadia Ashraf
- Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Matthew H E M Browning
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA
| | - Md Ashraful Alam
- Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Michelle L Bell
- Yale School of the Environment, Yale University, New Haven, CT, United States
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, USA
| | - Thomas Astell-Burt
- School of Architecture, Design, and Planning, University of Sydney, Australia
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Gangwisch M, Matzarakis A. Composition of factors for local heat adaptation measures at the local level in cities of the mid-latitude - An approach for the south-west of Germany. ENVIRONMENT INTERNATIONAL 2024; 187:108718. [PMID: 38735079 DOI: 10.1016/j.envint.2024.108718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 04/28/2024] [Accepted: 05/02/2024] [Indexed: 05/14/2024]
Abstract
Traditional heat health warning systems focus on severe and extreme heat events at the district or regional level, often overlooking localized risk and protective factors such as healthcare access and urban green spaces. This approach considers less the varying impacts of heat within cities, including the phenomenon of Urban Heat Islands (UHIs) and the diverse needs of different populations. To address these shortcomings, a need for the development of an Urban Heat Health Warning and Information System (UHHWIS) that operates within the framework of Heat Health Action Plans is needed. Such a system integrates national acute heat health warnings with city-specific assessments of UHI effects and other relevant factors. The technical implementation of the UHHWIS involves the calculation and preprocessing of basic factors such as the Normalised Difference Vegetation Index (NDVI), imperviousness, and UHI intensity. Additionally, further factors are assessed, spatially processed, and provided in accordance with Open Geospatial Consortium (OGC) standards. An iso-area analysis is conducted to evaluate the accessibility of protective factors, such as urban green spaces, drinking wells, hospitals, physicians, and pharmacies, based on the city's road topology. One crucial factor considered in the system is the casting of shadows, which is influenced by both time and location and facilitated through deck.gl. The developed template encompasses all these components into a unified system aimed at protecting vulnerable and risk groups, such as the elderly, through resilient, climate-adapted urban planning. The system provides warnings and information tailored to the urban morphology and prevailing conditions, complemented by a catalogue of potential short- to long-term measures focused on behavioral changes and climate-resilient urban planning strategies. The template can be adapted for use in various European cities, offering valuable insights to decision-makers in city administration for mitigating thermal stress and enhancing resilience against urban heat nowadays and in future.
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Affiliation(s)
- Marcel Gangwisch
- Research Centre Human Biometeorology, German Meteorological Service, Stefan-Meier-Str. 4, D-79104 Freiburg, Germany; Chair of Environmental Meteorology, Institute of Earth and Environmental Sciences, Faculty of Environment and Natural Resources, University of Freiburg, Werthmannstr. 10, D-79085 Freiburg, Germany.
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Maddock JE, Johnson SS. Spending Time in Nature: The Overlooked Health Behavior. Am J Health Promot 2024; 38:124-148. [PMID: 38126319 DOI: 10.1177/08901171231210806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Jay E Maddock
- Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, Center for Health and Nature, College Station, TX, USA
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Browning MHEM, Hanley JR, Bailey CR, Beatley T, Gailey S, Hipp JA, Larson LR, James P, Jennings V, Jimenez MP, Kahn PH, Li D, Reuben A, Rigolon A, Sachs NA, Pearson AL, Minson CT. Quantifying Nature: Introducing NatureScore TM and NatureDose TM as Health Analysis and Promotion Tools. Am J Health Promot 2024; 38:126-134. [PMID: 38126317 PMCID: PMC10876217 DOI: 10.1177/08901171231210806b] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Matthew H. E. M. Browning
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA
- NatureQuantTM, Inc., Eugene, OR, USA
| | | | | | - Timothy Beatley
- School of Architecture, University of Virginia, Charlottesville, VA, USA
| | - Samantha Gailey
- Department of Forestry, Michigan State University, East Lansing, MI, USA
- Space, Health and Community Lab, Charles Stewart Mott Department of Public Health, Michigan State University, East Lansing, MI, USA
| | - J. Aaron Hipp
- Department of Parks, Recreation & Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Lincoln R. Larson
- Department of Parks, Recreation & Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Viniece Jennings
- School of the Environment, Florida Agricultural and Mechanical University, Tallahassee, FL, USA
| | | | - Peter H. Kahn
- Department of Psychology & School of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA
| | - Dongying Li
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA
| | - Aaron Reuben
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Alessandro Rigolon
- Department of City & Metropolitan Planning, The University of Utah, Salt Lake City, UT, USA
| | - Naomi A. Sachs
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, USA
| | - Amber L. Pearson
- Charles Stewart Mott Department of Public Health, Michigan State University, East Lansing, MI, USA
| | - Christopher T. Minson
- NatureQuantTM, Inc., Eugene, OR, USA
- Department of Human Physiology, University of Oregon, Eugene, OR, USA
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Csomós G, Borza EM, Farkas JZ. Exploring park visitation trends during the Covid-19 pandemic in Hungary by using mobile device location data. Sci Rep 2023; 13:11078. [PMID: 37422583 PMCID: PMC10329667 DOI: 10.1038/s41598-023-38287-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/06/2023] [Indexed: 07/10/2023] Open
Abstract
Sweeping changes in park visitation have accompanied the Covid-19 pandemic. In countries where governments imposed strict lockdowns during the first wave, park visitation declined in cities. The benefits of visiting urban green spaces on people's mental and physical health and well-being are generally acknowledged; many people in confinement during lockdowns reported increasing mental health issues. Therefore, based on lessons learned from the Covid-19 pandemic's first wave, urban parks and other urban green spaces remained open in most countries in subsequent pandemic phases. Furthermore, many studies have reported an overall increase in park visitation after strict lockdowns imposed in the pandemic's first wave have been removed. This study aims to investigate park visitation trends in Hungary based on a dataset of 28 million location data points from approximately 666,000 distinct mobile devices collected in 1884 urban parks and other urban green spaces in 191 settlements between June 1, 2019, and May 31, 2021. Findings demonstrate that park visitation increased in the inter-wave period of 2020, compared to the pre-pandemic period of 2019, and decreased in Waves 2-3 of 2021, compared to Wave 1 of 2020.
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Affiliation(s)
- György Csomós
- Department of Civil Engineering, Faculty of Engineering, University of Debrecen, 2-4 Ótemető út, Debrecen, 4028, Hungary.
| | - Endre Márk Borza
- CIAS, Corvinus University of Budapest, 8 Fővám tér, Budapest, 1093, Hungary
| | - Jenő Zsolt Farkas
- Centre for Economic and Regional Studies, Great Plain Research Department, 3 Rakóczi út, Kecskemét, 6000, Hungary
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