1,595
Views
5
CrossRef citations to date
0
Altmetric
Articles

Associations between environmental attributes of facilities and female participation in sport: a systematic review

, &
Pages 294-306 | Received 17 Oct 2018, Accepted 18 Jun 2019, Published online: 16 Jul 2019
 

ABSTRACT

Purpose: To examine the association between environmental attributes of facilities, female participation in sport and according to life stage.

Design: Articles were identified through seven databases and included if female specific results were reported on the association between attributes of the physical environment and sports participation.

Findings: The search yielded 3118 articles, 24 met the criteria. Most studies were moderate quality and in terms of life stage focused on adolescent girls. Environmental attributes of facilities including perceived safety, convenient location and suitable amenities in sport and school facilities were associated with female participation in sport.

Practical implications/research contribution: Attributes of the physical environment may influence female participation in sport. Conclusions are tentative based on minimal studies in this area. More attention to identify environmental attributes of facilities associated with encouraging female participation in sport across their transitional life stage is required to enhance understanding and guide facility development..

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.