Tweets, Apps, and Pods: Results of the 6-month Mobile Pounds Off Digitally (Mobile POD) randomized weight-loss intervention among adults.
Tweets, Apps, and Pods: Results of the 6-month Mobile Pounds Off Digitally (Mobile POD) randomized weight-loss intervention among adults.
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DOI：
10.2196/jmir.1841
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发表时间：
2011-12-20
影响因子：
7.4
通讯作者：
Tate D
中科院分区：
文献类型：
--
作者：
Turner-McGrievy G;Tate D
以前的干预已经显示出有希望的结果，使用基于理论的播客来提供行为减肥干预。我们研究的目的是检验播客、移动支持通信和移动饮食监测的结合是否能帮助人们减肥。在这个为期6个月的最小接触干预中，通过电视广告和电子邮件列表招募了超重（n = 96，体重指数32.6 kg/m2）的成年人，并随机分配到播客组或播客+移动组。两组连续3个月每周收听2次播客，连续3 - 6个月每周收听2次迷你播客。除了播客，播客+移动组还被要求在他们的移动设备上使用饮食和身体活动监测应用程序（app），并在Twitter上与学习顾问和其他参与者互动。6个月时各组体重减轻无差异：播客+手机，n = 47；平均-2.7% （SD 5.1%）播客，n = 49；P = .98。报告的饮食监测天数/周在Podcast+Mobile组（平均2.3天，SD 1.9天/周）和Podcast组（平均1.9天，SD 1.7天/周；P = 0.28）之间没有差异，但监测方法存在差异。播客+手机的参与者使用应用程序监测饮食的可能性是播客组的3.5倍（P = 0.01），而大多数播客参与者报告使用网络（14/ 41,34%）或纸张（12/ 41,29%）。播客+手机组每集的下载量（1.4次/人）高于播客组（1.1次/人；P < .001）。在6个月的时间里，播客参与者报告的下载数量与播客+手机的体重减轻有显著的中等相关性（r = -）。46, P = .001)和播客(r = -。53, P < .001)组。播客+手机的参与者在3个月时感受到更多的用户控制（P = 0.02），但在6个月时则不是，并且播客+手机的参与者有更精细的趋势（P = 0.06）。不同群体的社会支持来源报告存在显著差异。更多的播客参与者依赖于朋友（11/40,28% vs 4/40, 10%; P = .045），而播客+手机参与者依赖于在线资源（10/40,25% vs 0/40; P = .001）。结果证实并扩展了先前的研究结果，即通过播客进行最低强度的减肥干预，但通过Twitter和监测应用程序进行提示和移动通信而没有反馈并不能促进减肥。Clinicaltrials.gov NCT01139255;http://clinicaltrials.gov/ct2/show/NCT01139255（由WebCite在http://www.webcitation.org/625OjhiDy存档）
Previous interventions have shown promising results using theory-based podcasts to deliver a behavioral weight-loss intervention. The objective of our study was to examine whether a combination of podcasting, mobile support communication, and mobile diet monitoring can assist people in weight loss. In this 6-month, minimal contact intervention, overweight (n = 96, body mass index 32.6 kg/m2) adults were recruited through television advertisements and email listservs and randomly assigned to Podcast-only or Podcast+Mobile groups. Both groups received 2 podcasts per week for 3 months and 2 minipodcasts per week for months 3–6. In addition to the podcasts, the Podcast+Mobile group was also instructed to use a diet and physical activity monitoring application (app) on their mobile device and to interact with study counselors and other participants on Twitter. Weight loss did not differ by group at 6 months: mean –2.7% (SD 5.6%) Podcast+Mobile, n = 47; mean –2.7% (SD 5.1%) Podcast, n = 49; P = .98. Days/week of reported diet monitoring did not differ between Podcast+Mobile (mean 2.3, SD 1.9 days/week) and Podcast groups (mean 1.9, SD 1.7 days/week; P = .28) but method of monitoring did differ. Podcast+Mobile participants were 3.5 times more likely than the Podcast group to use an app to monitor diet (P = .01), whereas the majority of Podcast participants reported using the Web (14/41, 34%) or paper (12/41, 29%). There were more downloads per episode in the Podcast+Mobile group (1.4/person) than in the Podcast group (1.1/person; P < .001). The number of podcasts participants reported downloading over the 6-month period was significantly moderately correlated with weight loss in both the Podcast+Mobile (r = –.46, P = .001) and the Podcast (r = –.53, P < .001) groups. Podcast+Mobile participants felt more user control at 3 months (P = .02), but not at 6 months, and there was a trend (P = .06) toward greater elaboration among Podcast+Mobile participants. There were significant differences in reported source of social support between groups. More Podcast participants relied on friends (11/40, 28% vs 4/40, 10%; P = .045) whereas Podcast+Mobile participants relied on online sources (10/40, 25% vs 0/40; P = .001). Results confirm and extend previous findings showing a minimally intensive weight-loss intervention can be delivered via podcast, but prompting and mobile communication via Twitter and monitoring app without feedback did not enhance weight loss. Clinicaltrials.gov NCT01139255; http://clinicaltrials.gov/ct2/show/NCT01139255 (Archived by WebCite at http://www.webcitation.org/625OjhiDy)
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影响因子：
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