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Where Are Adults Active? An Examination of Physical Activity Locations Using GPS in Five US Cities

机译:成年人在哪里活跃?在五个美国城市中使用GPS进行身体活动地点的检查

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Increasing physical activity (PA) at the population level requires appropriately targeting intervention development. Identifying the locations in which participants with various sociodemographic, body weight, and geographic characteristics tend to engage in varying intensities of PA as well as locations these populations underutilize for PA may facilitate this process. A visual location-coding protocol was developed and implemented in Google Fusion Tables and Maps using data from participants ( N ?=?223, age 18–85) in five states. Participants concurrently wore ActiGraph GT1M accelerometers and Qstarz BT-Q1000X GPS units for 3?weeks to identify locations of moderate-to-vigorous (MVPA) or vigorous (VPA) bouts. Cochran-Mantel-Haenzel general association tests examined usage differences by participant characteristics (sex, age, race/ethnicity, education, body mass index (BMI), and recruitment city). Homes and roads encompassed &40% of bout-based PA minutes regardless of PA intensity. Fitness facilities and schools were important for VPA (19 and 12% of bout minutes). Parks were used for 13% of MVPA bout minutes but only 4% of VPA bout minutes. Hispanics, those without a college degree, and overweight/obese participants frequently completed MVPA bouts at home. Older adults often used roads for MVPA bouts. Hispanics, those with ≤high school education, and healthy/overweight participants frequently had MVPA bouts in parks. Applying a new location-coding protocol in a diverse population showed that adult PA locations varied by PA intensity, sociodemographic characteristics, BMI, and geographic location. Although homes, roads, and parks remain important locations for demographically targeted PA interventions, observed usage patterns by participant characteristics may facilitate development of more appropriately targeted interventions.
机译:增加人口层面的身体活动(PA)需要适当定位的干预发展。识别与各种社会的参与者具有各种社会造影,体重和地理特征的位置倾向于接触PA的变化强度以及这些群体未充分利用PA的位置可以促进该过程。在Google Fusion表中开发和实现了视觉定位协议,并使用来自参与者的数据(n?= 223,年龄18-85)中的数据在映射中实现。参与者同时穿着Aptigraph GT1M加速度计和QSTARZ BT-Q1000x GPS单元3?周,以识别中等至活力(MVPA)或剧烈(VPA)的位置的位置。 Cochran-Mantel-Haenzel综合协会测试检测参与者特征的使用情况(性别,年龄,种族/种族,教育,体重指数(BMI)和招聘城市)。家庭和道路包围,无论PA强度如何,基于Bout的PA分钟的40%。健身设施和学校对VPA(占BUT分钟的12%)很重要。公园用于MVPA的13%,但只有4%的VPA接口分钟。没有大学学位的西班牙裔人和超重/肥胖参与者经常在家里完成MVPA比赛。老年人经常使用MVPA BOUTS的道路。西班牙裔学生,那些有≤hool学校教育,健康/超重参与者经常在公园里有MVPA比赛。在各种人口中应用新的位置编码协议显示成人PA位置因PA强度,社会渗目特征,BMI和地理位置而变化。虽然房屋,道路和公园仍然是人口统计目标的PA干预的重要地点,但参与者特征的观察到的使用模式可能会促进更适当针对目标的干预措施。

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