Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics

Dados Bibliográficos

ID23322452
AutoresAndrew T Kaczynski (0000-0001-8724-8241, University of South Carolina, autor correspondente), Gina M Besenyi (0000-0002-4538-9510, University of South Carolina), Sonja A Wilhelm Stani (0000-0002-0617-922X, University of Missouri), Sonja A Wilhelm Stanis, Mohammad Javad Koohsari (0000-0001-9384-5456, Baker Heart and Diabetes Institute), Katherine Oestman (0009-0008-8053-6572, Tecumseh Products (United States)), Katherine B Oestman, Ryan D Bergstrom (0000-0002-6167-3730, Gustavus Adolphus College), Ryan Bergstrom, Luke R Potwarka (0000-0002-7334-9786, University of Waterloo), Roberta Sena Reis (0000-0002-9872-9865, Pontifícia Universidade Católica do Paraná), Rodrigo S Reis
Ano2014
Volume11
Fascículo1
Páginas146-146
Data de publicação2014-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Behavioral Nutrition and Physical Activity (JOURNAL)
Identificadores do periódicoISSN: 1479-5868 • E-ISSN: 1479-5868
EditoraSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s12966-014-0146-4
PMID25480157
PMCIDPMC4310176
OpenAlexW2025684036
IdiomaEN
Citações recebidas104
Referências citadas80

BACKGROUND: Parks are valuable resources for physical activity (PA) given their widespread availability and low cost to maintain and use. Both proximity to parks and the availability of particular features are important correlates of PA. However, few studies have explored multiple measures of proximity simultaneously or the specific facilities associated with park use and park-based PA among adults, let alone differences across socio-demographic characteristics. The purpose of this study was to examine associations between park proximity and park facilities and adults' park use and park-based PA, while also exploring differences by gender, age, race, and income. METHODS: Data on monthly park use and weekly amount of PA undertaken in parks were collected via a mail survey of adults from randomly-selected households (n = 893) in Kansas City, Missouri (KCMO) in 2010-2011. Three measures of park proximity were calculated within 1 mile of participating households: distance to the closest park, number of parks, and total park area. All parks in KCMO were audited using the Community Park Audit Tool to determine the availability of 14 park facilities within 1 mile of each participant (e.g., trail, playground, tennis court). Multilevel logistic regression was used to examine the relationship between each of park use and park-based PA and 1) three measures of park proximity, and 2) the availability of 14 park facilities within 1 mile of participants. Separate analyses were conducted by gender, age, race, and income, while controlling for all socio-demographic characteristics and BMI. RESULTS: Across all sub-samples, distance to the closest park was not significantly related to either park use or park-based PA. However, numerous significant associations were found for the relationship of number of parks and amount of park space within 1 mile with both outcomes. As well, diverse facilities were associated with park use and park-based PA. For both park proximity and facilities, the significant relationships varied widely across gender, age, race, and income groups. CONCLUSIONS: Both park proximity and park facilities are related to park use and park-based PA. Understanding how such associations vary across demographic groups is important in planning for activity-friendly parks that are responsive to the needs of neighborhood residents.

Archaeology · Geography · Mile · National park · Socioeconomics · Sociology · Obesity, Physical Activity, Diet · Urban Green Space and Health · Urban Transport and Accessibility