Association of Park-use, Preferences of Park Features, and Physical Activity Among City Residents Varying in Socioeconomic Status

Download or read book Association of Park-use, Preferences of Park Features, and Physical Activity Among City Residents Varying in Socioeconomic Status written by Emily Pineda and published by . This book was released on 2014 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public parks can play a substantial role in increasing physical activity (PA) because they offer a wide range of either free or low-cost activities. For many Americans, there are limitations on the environment and resources where they can be physically active. Parks are important resources for promoting PA, yet few studies have examined how preferences of park features relate to physical activity levels and socioeconomic status (SES). This study investigated associations between city park use and PA levels across low and higher SES groups. A secondary purpose of the study was to assess the association between preferences of park features used for PA and PA levels across low and higher SES groups. Data were collected via questionnaire from 318 city residents. Descriptive analysis provided means, standard deviations and frequencies. Independent t-tests were run to examine the differences among low and higher SES residents' survey responses. A chi-square test was used to determine the association between a being physical activity at a park (Yes/No) and IPAQ categories. An additional chi-square test was used to determine the association between a having a neighborhood park present (Yes/No) and IPAQ categories, income category and IPAQ categories. A Pearson's correlation was used to assess the relationship of minutes of self-reported park usage and self-reported minutes per week of physical activity from the IPAQ. Finally, binary logistic regression models were used to assess (a) park-based physical activity was related to physical activity from the IPAQ; and (b) the a relationship between specific park features and meeting physical activity guidelines from the IPAQ. Binary logistic regression models were calculated individually for low SES, high SES, and total sample. All the logistics regression analyses were adjusted for age and gender. The significance level was set at alpha [less than or equal to] .05. Responses for open-ended survey questions were qualitatively examined. The researcher first read through all comments several times to become familiar with the content. Then meaning units were created and coded based on words or statements that communicate the same central meaning through their content. The results of this study indicated a positive relationship between park-based PA and PA measured by the IPAQ. The most visited parks' main features were open space, trails, and sidewalks. Participants reported using open space, trails, and sidewalks the most. There were no differences in either park use or park features used for physical activity by SES group. Specific park features were not related with PA levels (p>.05). Adults who reported being physically active at a park were more likely to meet PA recommendations compared to those not active at a park (OR= 2.01, 95% CI= 1.20-3.36). A similar finding was observed for the high SES group (OR=1.90, 95% CI=1.05-3.50), but not the low SES group (OR=2.35, 95% CI=0.8-6.90). Better measuring and understanding how the park preferences of city residents are associated with physical activity and health may improve the understanding of how parks facilitate active living.