Cited by 437Urban Green Space and HealthUrban Arborization and Environmental StudiesEnvironmental Justice and Health Disparities

The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.

Green Space Quality and Health: A Systematic Review

Open access
Nguyen, Phi-Yen, Astell-Burt, Thomas, Rahimi-Ardabili, Hania, Feng, Xiaoqi·2021·International Journal of Environmental Research and Public Health

Abstract

(1) Background: As cities densify, researcher and policy focus is intensifying on which green space types and qualities are important for health. We conducted a systematic review to examine whether particular green space types and qualities have been shown to provide health benefits and if so, which specific types and qualities, and which health outcomes. (2) Methods: We searched five databases from inception up to June 30, 2021. We included all studies examining a wide range of green space characteristics on various health outcomes. (3) Results: 68 articles from 59 studies were found, with a high degree of heterogeneity in study designs, definitions of quality and outcomes. Most studies were cross-sectional, ecological or cohort studies. Environment types, vegetation types, and the size and connectivity of green spaces were associated with improved health outcomes, though with contingencies by age and gender. Health benefits were more consistently observed in areas with greater tree canopy, but not grassland. The main outcomes with evidence of health benefits included allergic respiratory conditions, cardiovascular conditions and psychological wellbeing. Both objectively and subjectively measured qualities demonstrated associations with health outcomes. (4) Conclusion: Experimental studies and longitudinal cohort studies will strengthen current evidence. Evidence was lacking for needs-specific or culturally-appropriate amenities and soundscape characteristics. Qualities that need more in-depth investigation include indices that account for forms, patterns, and networks of objectively and subjectively measured green space qualities.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijerph182111028

Cites

111 of 111 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 PRISMA flow diagram of study selection.
Figure 1 PRISMA flow diagram of study selection.CC BY · PubMed Central
Figure 2 Published studies over the years, by study design.
Figure 2 Published studies over the years, by study design.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 111 references

Research works printed but not linked: 1

  1. US National Research Council Committees on Environmental Epidemiology and Life Science (2021, September 15). Environmental-Epidemiology Studies: Their Design and Conduct, Available online: https://www.ncbi.nlm.nih.gov/books/NBK233644/.

Cited by

Sorted by citations

See all 437

Metadata

Authors
Nguyen, P.-Y., Astell-Burt, T., Rahimi-Ardabili, H., & Feng, X.
Affiliations
  • UNSW Sydney (AU)
  • Population Wellbeing and Environment Research Lab (PowerLab), Wollongong, NSW 2522, Australia
  • School of Population Health, University of New South Wales, Sydney, NSW 2033, Australia
  • University of Wollongong (AU)
Corresponding author
Feng, Xiaoqi
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2021-10-20
Volume
18
Issue
21
Pages
11028
ISSN
1660-4601 (ISSN-L)
OpenAlex
W3206924707
Cited by
420
References
111
Citations by year
2026: 109 · 2025: 117 · 2024: 85 · 2023: 66 · 2022: 42 · 2021: 1
FWCI
4.61
Type
journal article
Language
en
Open access
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)
  • Research Online (University of Wollongong) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion)
Funders
  • National Health and Medical Research Council (1140317, 1148792, 1101065)
  • Green Cities Fund (GC15005)
Topics
  • Social Sciences › Urban Studies › Urban Green Space and Health
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Urban Arborization and Environmental Studies
  • Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
Keywords
green space quality, urban green space, health benefits, tree canopy, grassland, cardiovascular conditions, psychological well-being, age and gender differences, soundscape
MeSH terms
Parks, Recreational, Cities, Humans, Longitudinal Studies, Cohort Studies

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 ›

Are you an author, or do you see a problem with this page? Request a review