Evidence map›Paper›PMID 36231890›Full record

SynthesisInternational journal of environmental research and public health2022

The Effectiveness of Interventions to Increase Participation and Physical Activities in Parks: A Systematic Review of the Literature.

Ying Xu, Sarah Ann Wheeler, Alec Zuo

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ying XuSchool of Economics and Public Policy, The University of Adelaide, Adelaide, SA 5005, Australia.
Sarah Ann WheelerSchool of Economics and Public Policy, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0002-6073-3172
Alec ZuoSchool of Economics and Public Policy, The University of Adelaide, Adelaide, SA 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although a variety of interventions in many countries have been developed to increase park use and to improve public participation in physical activities in parks, knowledge of their overall effectiveness is lacking. A systematic literature review was undertaken to further understand the effectiveness of various interventions that aim to increase the use of parks and physical activity participation in parks. This systematic review utilized the standard Preferred Reporting Items for Systematic Reviews and Meta-Analysis procedure, and of the 3801 studies identified, 60 studies were reviewed in-depth, with 44 studies assessed for quality of evidence and risk of bias. Most of the 44 reviewed studies found that various interventions had positive impacts on park use and physical activity participation in parks. Interventions were classified into both demand and supply, with more studies focusing on the supply side. The strongest evidence on the effectiveness of various interventions was found for park prescriptions; safe access to parks; playgrounds, and park renovation and renewal/design. However, the assessment of quality of evidence and risk of bias showed that most studies suffer from potential biases and evidence weaknesses, suggesting a need to further establish external validity.

Indexed as

FrailtyParks, RecreationalEnvironment DesignExerciseHumansKnowledgePrescriptionsRecreationinterventionspark usephysical activitiesquality of evidencerisk of bias

Identifiers

PMID36231890
PMCPMC9566024

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.