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Factors that influence physical activity: Exploring the impact of demographic and built environment variables for the communities of Osceola, Independence and West Liberty, Iowa

机译:影响体育锻炼的因素:探索人口统计学和建筑环境变量对爱荷华州奥塞奥拉,独立和西自由的社区的影响

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摘要

The aim of this study was to examine recreational activity patterns and their relationship to the built environment, spatial accessibility and socio-demographic status across three different rural communities in Iowa. Data on recreational activities were derived from the results of a transportation survey (telephone, online, and mail) that is conducted on an annual basis by Iowa State University Associate Professor Julia M. Badenhope as part of the Iowa Living Roadways `Community Visioning Program General Survey\u27. The data for the three communities pertaining to this study came from the 2008 and 2010 survey results. The study sample contained 178, 105 and 160 randomly selected survey respondents for the three communities of Osceola, Independence and West Liberty, Iowa.The methodology presented could be easily adopted and implemented in future projects examining the relationship between the built environment and recreational activities. Respondents along with their corresponding demographic information and activity levels, in addition to existing park locations were mapped using the Geographic Information Systems (GIS). The Network Analyst extension tool was used to measure different socio-demographic, spatial and physical factors that could potentially influence physical activities such as walking, biking, and running and these measurements were analyzed using SPSS and JMP in order to obtain the statistical significance. In addition, Anselin\u27s Local Moran\u27s I was utilized to measure spatial autocorrelation in order to establish the presence of clusters within the communities based on the respondents\u27 recreational activity levels.Statistical analyses indicated no significant relationship among the different demographic variables and the levels of recreational activities among the survey respondents of the communities of Osceola and Independence. Association was however, found between gender and walking (2-sided p-value=0.0008) for the community of West Liberty, Iowa. Spatial analyses in conjunction with statistical results indicated significant difference for the respondents of Osceola in terms of the shortest distance to a recreational facility and the two activities of running (2-sided p-value=0.0034) and biking (2-sided p-value=0.0247). For the City of West Liberty, significant relationship was found for the shortest distance to a recreational facility and overall exercise (2-sided p-value=0.0079). In general, these results indicate for the respondents of Osceola living in close proximity to recreational facilities are more likely to run and bike, while proximity can also influence overall physical activities including `other\u27 activities for the City of West Liberty. Additionally, there was no evidence of significant clustering for the attribute of recreational activity levels of analyses. Overall, the study indicated that the relationship between the rural environment and demographic variables and recreational activity levels is not direct and more research is required to effectively measure the discrepancy in the level of physical activity in regards to the built environment and demographic variables.
机译:这项研究的目的是研究爱荷华州三个不同农村社区的娱乐活动模式及其与建筑环境,空间可及性和社会人口状况的关系。娱乐活动的数据来自爱荷华州立大学副教授Julia M.Badenhope每年进行的交通调查(电话,在线和邮件)的结果,这是爱荷华州生活道路“社区愿景计划”的一部分调查\ u27。与该研究有关的三个社区的数据来自2008年和2010年的调查结果。该研究样本包含178个,105个和160个随机抽取的调查对象,分别来自爱荷华州奥塞奥拉(Osceola),独立社区和西自由区(West Liberty)的三个社区。除了现有的公园位置外,还使用地理信息系统(GIS)绘制了受访者及其相应的人口统计信息和活动水平。 Network Analyst扩展工具用于测量可能影响身体活动(如步行,骑自行车和跑步)的不同社会人口统计,空间和物理因素,并使用SPSS和JMP对这些测量进行分析,以获得统计意义。此外,还使用Anselin的局部Moran I来测量空间自相关,以便根据受访者的娱乐活动水平在社区内建立集群的存在。统计分析表明,不同的人口统计学变量和Osceola和独立社区的受访者中的娱乐活动水平。但是,在爱荷华州西自由社区发现了性别与步行之间的关联(2面p值= 0.00008)。空间分析和统计结果表明,Osceola的受访者在距娱乐设施的最短距离以及跑步(2侧p值= 0.0034)和骑自行车(2侧p值)两项活动方面存在显着差异= 0.0247)。对于西自由市,人们发现与娱乐设施的最短距离与整体锻炼之间存在显着关系(两面p值= 0.0079)。总的来说,这些结果表明,居住在娱乐场所附近的Osceola的受访者更有可能跑步和骑自行车,而附近环境也会影响整体体育活动,包括“西自由城”的其他活动。此外,没有证据表明娱乐活动水平的分析具有明显的聚类性。总的来说,研究表明农村环境与人口变量和娱乐活动水平之间的关系不是直接的,需要更多的研究来有效地衡量与建筑环境和人口变量有关的体育活动水平的差异。

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    Hadzic, Jasna;

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  • 年度 2011
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