The Physical Activity Tracker Testing in Youth (P.A.T.T.Y.) Study: Content Analysis and Children's Perceptions.

The Physical Activity Tracker Testing in Youth (P.A.T.T.Y.) Study: Content Analysis and Children's Perceptions.
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DOI:
10.2196/mhealth.6347
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发表时间:
2017-04-28
影响因子:
5
通讯作者:
Freedson P
Freedson P
中科院分区:
医学2区
文献类型:
--
作者:
Masteller B;Sirard J;Freedson P

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活动跟踪器被成人广泛使用,现在有几种型号是针对儿童销售的。本研究的目的是(1)进行内容分析的行为变化技术(BCT)使用的三个商业上可用的面向青少年的活动跟踪器和(2)获得反馈,描述这些设备和相关网站的儿童的看法。内容分析记录了MovBand(MB)、Sqord(SQ)和Zamzee(ZZ)活动跟踪器存在36个可能的BCT。此外,16名参与者(平均年龄8.6岁[SD 1.6]; 50%女性[8/16])接受了所有三种追踪器,并面向设备和网站。参与者被要求连续4天佩戴追踪器,每天在每个网站上花费≥10分钟。当参与者归还器械时,进行认知访谈和调查。采用质性资料分析法对认知访谈的内容进行分析。卡方分析被用来确定网站之间的行为监测和社会互动功能的差异。MB、SQ和ZZ设备或网站分别包括可能的36个BCT中的8个、15个和14个。所有网站都有行为监测功能(跟踪活动的图表),但表示他们“喜欢”这些功能的参与者百分比因网站而异(MB:8/16,50%; SQ:6/16,38%; ZZ:11/16,69%)。两个网站(SQ和ZZ)包括一个“化身”,用户可以在网站上创建代表自己。参与者报告说,他们“喜欢”创建和更改他们的头像(SQ:12/16,75%,ZZ:15/16,94%),这得到了认知访谈的定性分析的支持。大多数参与者(75%)表示,如果他们的朋友戴着追踪器,他们会更想戴上这些设备。SQ和ZZ器械在喜欢或使用社会支持互动功能方面没有观察到显著差异(P= 0.21至0.37)。这些网站载有若干与先前确定的战略相一致的最佳现金援助。孩子们“喜欢”网站的社交方面,而不是活动跟踪功能。青少年商业活动跟踪器的开发人员可能会在网站设计过程中从理论角度受益。
Activity trackers are widely used by adults and several models are now marketed for children. The aims of this study were to (1) perform a content analysis of behavioral change techniques (BCTs) used by three commercially available youth-oriented activity trackers and (2) obtain feedback describing children’s perception of these devices and the associated websites. A content analysis recorded the presence of 36 possible BCTs for the MovBand (MB), Sqord (SQ), and Zamzee (ZZ) activity trackers. In addition, 16 participants (mean age 8.6 years [SD 1.6]; 50% female [8/16]) received all three trackers and were oriented to the devices and websites. Participants were instructed to wear the trackers on 4 consecutive days and spend ≥10 min/day on each website. A cognitive interview and survey were administered when the participant returned the devices. Qualitative data analysis was used to analyze the content of the cognitive interviews. Chi-square analyses were used to determine differences in behavioral monitoring and social interaction features between websites. The MB, SQ, and ZZ devices or websites included 8, 15, and 14 of the possible 36 BCTs, respectively. All of the websites had a behavioral monitoring feature (charts for tracking activity), but the percentage of participants indicating that they “liked” those features varied by website (MB: 8/16, 50%; SQ: 6/16, 38%; ZZ: 11/16, 69%). Two websites (SQ and ZZ) included an “avatar” that the user could create to represent themselves on the website. Participants reported that they “liked” creating and changing their avatar (SQ: 12/16, 75%, ZZ: 15/16, 94%), which was supported by the qualitative analyses of the cognitive interviews. Most participants (75%) indicated that they would want to wear the devices more if their friends were wearing a tracker. No significant differences were observed between SQ and ZZ devices in regards to liking or use of social support interaction features (P=.21 to .37). The websites contained several BCTs consistent with previously identified strategies. Children “liked” the social aspects of the websites more than the activity tracking features. Developers of commercial activity trackers for youth may benefit from considering a theoretical perspective during the website design process.