Changes in Physical Activity After Installation of a Fitness Zone in a Community Park.
Changes in Physical Activity After Installation of a Fitness Zone in a Community Park.
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DOI：
10.5888/pcd15.170560
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发表时间：
2018-08-09
影响因子：
5.5
通讯作者：
Ogunseitan OA
中科院分区：
文献类型：
--
作者：
Sami M;Smith M;Ogunseitan OA
增加体力活动可以降低慢性病的患病率。公园为体育活动提供了理想的场所。我们调查了社区公园健身器材安装对公园用户体力活动强度的影响。我们使用社区游戏和娱乐观察系统记录了 2015 年 8 月（干预前 [n = 1,650 人周期]）和 2016 年 2 月（干预后 [n = 1,776 人周期]）加利福尼亚州加登格罗夫 Eastgate 公园的身体活动。我们通过两种方式量化了 15 分钟观察期内公园目标区域的体力活动：1) 我们对每个用户在该时段内的活动水平进行了分类（久坐、步行、剧烈），2) 我们将活动水平转换为数字代谢当量任务 (MET) 分数，并计算了用户的期间平均分数。我们使用混合效应回归模型来评估 1) 干预后较高活动水平的比例几率，以及 2) 干预状态（干预前与干预后）与平均期间平均 MET 评分之间的关联。在健身器材周围的区域，较高活动水平的比值比为 1.58（95% 置信区间 [CI]，1.14–2.18；P = .006），干预后平均期间平均 MET 得分为 0.33（95% CI，-0.07 至 0.74；P = .11）个单位。整个公园的活动水平较高的比值比为 1.41 (95% CI, 1.21–1.63; P < .001)，干预后期间平均 MET 得分高出 0.34 (95% CI, 0.12–0.56; P = .003) 个单位。设置健身区似乎是增加公园使用者身体活动的有效干预措施。需要进行进一步的研究来了解健身区随着时间的推移所产生的持续影响。
Increases in physical activity can lead to decreases in the prevalence of chronic diseases. Parks provide an ideal setting for physical activity. We investigated the effect of a fitness equipment installation on the intensity of park users’ physical activity at a community park. We used the System for Observing Play and Recreation in a Community to record physical activity in Eastgate Park in Garden Grove, California, in August 2015 (preintervention [n = 1,650 person-periods]) and in February 2016 (postintervention [n = 1,776 person-periods]). We quantified physical activity in target areas of the park during 15-minute observation periods in 2 ways: 1) we categorized each user’s activity level during the period (sedentary, walking, vigorous), and 2) we converted activity levels to numeric metabolic equivalent task (MET) scores and calculated the period-average score across users. We used mixed-effects regression models to assess 1) the proportional odds of higher activity level at postintervention and 2) the association between intervention status (pre vs post) and mean period-average MET scores. In the immediate zone around the fitness equipment, the odds ratio for a higher activity level was 1.58 (95% confidence interval [CI], 1.14–2.18; P = .006) and the mean period-average MET score was 0.33 (95% CI, −0.07 to 0.74; P = .11) units higher at postintervention. Across the park as a whole, the odds ratio for a higher activity level was 1.41 (95% CI, 1.21–1.63; P < .001), and the mean period-average MET score was 0.34 (95% CI, 0.12–0.56; P = .003) units higher at postintervention. Installing fitness zones appears to be an effective intervention for increasing physical activity of park users. Further studies need to be conducted to understand the sustained impact of fitness zones over time.
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影响因子：
5.5
作者：
Cohen, Deborah A.;Han, Bing;Derose, Kathryn Pitkin;Williamson, Stephanie;Marsh, Terry;McKenzie, Thomas L.
通讯作者：
McKenzie, Thomas L.
影响因子：
4.9
作者：
Van Dyck D;Sallis JF;Cardon G;Deforche B;Adams MA;Geremia C;De Bourdeaudhuij I
通讯作者：
De Bourdeaudhuij I
DOI：
10.1007/s11524-015-0024-7
发表时间：
2016-04-01
影响因子：
6.6
作者：
Cohen, Deborah A.;Hunter, Gerald;Dubowitz, Tamara
通讯作者：
Dubowitz, Tamara
影响因子：
4.8
作者：
Cranney, Leonie;Phongsavan, Philayrath;Bauman, Adrian
通讯作者：
Bauman, Adrian
影响因子：
2.7
作者：
Shulaker, Bianca D.;Isacoff, Jennifer W.;Bhatia, Rajiv
通讯作者：
Bhatia, Rajiv