A model for a community leisure initiative analysis

Gravelle, François; Karlis, George; Adjizian, Jean-Marc; Auger, Denis

doi:10.1080/07053436.2015.1040632

Cited by 5 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Participating in leisure in the specific context of the neighborhood furthers this implication by exemplifying the inherent appeal of being active in a setting with many opportunities for interaction. The notion that leisure has an important and critical impact on community has existed for decades (Gravelle, Karlis, Adjizian, & Auger, 2015). The particular psychological and social benefits of engaging in physical activity during leisure time, such as elevated social support and increased interpersonal interactions, substantiate it as a plausible path to build SOC.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Model of Leisure Time Physical Activity, Neighborhood Environment, and Sense of Community

Ross

Searle

2018

Environment and Behavior

View full text Add to dashboard Cite

The relationship between leisure time physical activity (LTPA) behaviors and the neighborhood environment (NE) has become a prominent research topic. This research investigates the complex relationship between LTPA and NE while also investigating their association with sense of community (SOC). Using data from a sample of 625 adults in the Greater Phoenix Metro area (AZ), a conceptual model is introduced to examine the relationships between LTPA, NE, and SOC while controlling for demographic, sociocultural, and community characteristics. Results of a structural equation modeling analysis indicate that LTPA was positively associated with SOC, NE was positively associated with LTPA, and NE was positively associated with SOC. These findings support future interventions that focus on features of NE when promoting LTPA behaviors and building SOC within the neighborhood. Furthermore, the simultaneous measurement of these constructs offers insight into the dynamic relationships that exist, informing future research and programming efforts.

show abstract

Section: Introductionmentioning

confidence: 99%