Centre for Women's Health, Gender and Society, Melbourne School of Population Health, University of Melbourne, Melbourne, Australia.
Int J Behav Nutr Phys Act. 2012 Sep 19;9:115. doi: 10.1186/1479-5868-9-115.
Using two different measures of park area, at three buffer distances, we sought to investigate the ways in which park area and proximity to parks, are related to the frequency of walking (for all purposes) in Australian adults. Little previous research has been conducted in this area, and results of existing research have been mixed.
Residents of 50 urban areas in metropolitan Melbourne, Australia completed a physical activity survey (n = 2305). Respondents reported how often they walked for ≥10 minutes in the previous month. Walking frequency was dichotomised to 'less than weekly' (less than 1/week) and 'at least weekly' (1/week or more). Using Geographic Information Systems, Euclidean buffers were created around each respondent's home at three distances: 400metres (m), 800 m and 1200 m. Total area of parkland in each person's buffer was calculated for the three buffers. Additionally, total area of 'larger parks', (park space ≥ park with Australian Rules Football oval (17,862 m2)), was calculated for each set of buffers. Area of park was categorised into tertiles for area of all parks, and area of larger parks (the lowest tertile was used as the reference category). Multilevel logistic regression, with individuals nested within areas, was used to estimate the effect of area of parkland on walking frequency.
No statistically significant associations were found between walking frequency and park area (total and large parks) within 400 m of respondent's homes. For total park area within 800 m, the odds of walking at least weekly were lower for those in the mid (OR 0.65, 95% CI 0.46-0.91) and highest (OR 0.65, 95% CI 0.44-0.95) tertile of park area compared to those living in areas with the least amount of park area. Similar results were observed for total park area in the 1200 m buffers. When only larger parks were investigated, again more frequent walking was less likely when respondents had access to a greater amount of park area.
In this study we found that more park area in residential environments reduced the odds of walking more frequently. Other area characteristics such as street connectivity and destinations may underlie these associations by negatively correlating with park area.
本研究使用两种不同的公园面积测量指标和三个缓冲区距离,旨在探讨公园面积和临近公园的程度与澳大利亚成年人的步行频率(所有目的)之间的关系。这方面的前期研究很少,现有研究的结果也不一致。
澳大利亚墨尔本 50 个城市地区的居民完成了一项身体活动调查(n=2305)。受访者报告了他们在上个月中步行 10 分钟以上的频率。步行频率被分为“每周不到一次”(每周少于 1 次)和“每周至少一次”(每周 1 次或以上)。使用地理信息系统,在每个受访者家的三个距离处创建了欧几里得缓冲区:400 米(m)、800 m 和 1200 m。计算了每个人缓冲区中的公园总面积。此外,还为每个缓冲区计算了“较大公园”(公园面积≥澳大利亚足球规则椭圆形(17862 平方米))的总面积。公园面积分为所有公园的三分位数和较大公园(最低三分位数作为参考类别)的面积。采用个体嵌套在区域内的多水平逻辑回归,估计公园面积对步行频率的影响。
在距离受访者家 400 米范围内,步行频率与公园面积(总面积和大公园)之间没有统计学上的显著关联。对于 800 m 范围内的公园总面积,处于中等(OR 0.65,95%CI 0.46-0.91)和最高(OR 0.65,95%CI 0.44-0.95)公园面积三分位数的人,与处于最低公园面积区域的人相比,每周至少步行一次的可能性较低。在 1200 m 缓冲区中,公园总面积也观察到了类似的结果。当只研究较大的公园时,当受访者有更多的公园面积可供使用时,他们更频繁地散步的可能性就更小了。其他区域特征,如街道连通性和目的地,可能通过与公园面积呈负相关,从而影响这些关联。
在这项研究中,我们发现,居住环境中更多的公园面积减少了更频繁步行的可能性。其他区域特征,如街道连通性和目的地,可能通过与公园面积呈负相关,从而影响这些关联。