Associations between Green Building Design Strategies and Community Health Resilience to Extreme Heat Events: A Systematic Review of the Evidence
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This project examined evidence linking green building design strategies with the potential to enhance community resilience to extreme heat events. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method for a systematic review, it assessed the strength of the evidence supporting the potential for Leadership in Energy and Environmental Design (LEED®) credit requirements to reduce the adverse effects of extreme heat events and/or enhance a building’s passive survivability (i.e., the ability to continue to function during utility outages) during those events. The PRISMA Flow Diagram resulted in the selection of 12 LEED for New Construction (LEED NC) credits for inclusion in the review. Following a preliminary scan of evidence supporting public health co-benefits of the LEED for Neighborhood Development rating system, queries were submitted in PubMed using National Library of Medicine Medical Subject Headings Terms. Queries identified links between LEED credit requirements and risk of exposure to extreme heat, environmental determinants of health, co-benefits to public health outcomes, and co-benefits to built environment outcomes. Public health co-benefits included reducing the risk of vulnerability to heat stress and reducing heat-related morbidity and mortality. The results lay the groundwork for collaboration across the public health, civil society, climate change, and green building sectors.
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A systematic review of articles to identify potential health cobenefits of green building strategies between 2002 and 2012 found compelling evidence of the potential impact of cross-sectoral collaboration among public health departments and their partners in the housing, planning, emergency, and transportation sectors.
“the authors focus on community resilience to extreme heat and marshal compelling evidence of the potential impact of cross-sectoral collaboration among public health departments and their partners in the housing, planning, emergency, and transportation sectors (60).”
From Review of the Impact of Housing Quality on Inequalities in Health and Well-Being (2023) · cites this paper as [60]
Significant factors that reduced heat were the selection of sustainable sites that reduced urban sprawl and the heat island effect and, in terms of health cobenefits, increased indoor air quality and opportunities to exercise.
“Significant factors that reduced heat were the selection of sustainable sites that reduced urban sprawl and the heat island effect and, in terms of health cobenefits, increased indoor air quality and opportunities to exercise.”
From Review of the Impact of Housing Quality on Inequalities in Health and Well-Being (2023) · cites this paper as [60]
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- [5]Confalonieri U. Menne B. Akhtar R. Ebi K.L. Hauengue M. Kovats R.S. Revich B. Woodward A. Human Health Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Parry M.L. Canziani O.F. Palutikof J.P. van der Linden P.J. Hanson C.E. Cambridge University Press Cambridge, UK 2007 391 431
- [30]Farr Associates An Expert Review on the Strength of the Data in Support of Proposed Community Design Standards in LEED for Neighborhood Development Farr Associates Chicago, IL, USA 2008 187
- [31]National Library of Medicine MeSH (Medical Subject Headings) National Institute of Health Bethesda, MD, USA 2012 Available online: http://www.ncbi.nlm.nih.gov/mesh (accessed on 24 February 2019)
Cited by
Sorted by citations
Review of the Impact of Housing Quality on Inequalities in Health and Well-Being
Howden-Chapman, P., Bennett, J., Edwards, R., Jacobs, D., Nathan, K., & Ormandy, D. (2023) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-071521-111836 · Cited by 153 · see citing works
- Authors
- Houghton, A., & Castillo-Salgado, C.
- Affiliations
- University of North Texas (US)
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Corresponding author
- Houghton, Adele
- ORCID
- Houghton, Adele
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2019-02-24
- Volume
- 16
- Issue
- 4
- Pages
- 663
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC6406297
- OpenAlex
- W2916684829
- Cited by
- 26
- References
- 102
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 5 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 1 · 2019: 1
- FWCI
- 0.19
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Johns Hopkins Bloomberg School of Public Health (Lipitz Public Health Policy grant)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Physical Sciences › Engineering › Building and Construction › Sustainable Building Design and Assessment
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Keywords
- sustainable building design, LEED credits, heat waves, heat-related morbidity and mortality, heat stress, community resilience, utility outages, environmental determinants of health, built environment, climate change adaptation
- MeSH terms
- Conservation of Natural Resources, Humans, Morbidity, Public Health, Residence Characteristics, Extreme Heat, Climate Change
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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