Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App.
Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App.
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用于体重管理的Slip Buddy应用程序：饮食失效跟踪应用程序的随机可行性试验。
DOI：
10.2196/24249
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发表时间：
2021-04-01
影响因子：
5
通讯作者：
Schroeder M
中科院分区：
文献类型：
--
作者：
Pagoto S;Tulu B;Waring ME;Goetz J;Bibeau J;Divito J;Groshon L;Schroeder M
虽然卡路里跟踪是行为减肥干预中最强的减肥预测因素之一，但低依从率很常见。 这项研究旨在研究在为期12周的基于网络的减肥计划中使用Slip Buddy应用程序的可行性和可接受性。 我们进行了一项随机试点试验，以评估在顾问主导的基于网络的行为减肥干预期间，使用Slip Buddy应用程序与流行的商业卡路里跟踪应用程序相比的可行性和可接受性。在网上招募超重或肥胖的成年人，并随机进入为期12周的基于网络的减肥干预，其中包括Slip Buddy应用程序或商业卡路里跟踪应用程序。可行性结果包括保留，应用程序使用，可用性，报告的失误以及失误中报告的背景因素。可接受性结果包括对使用指定应用程序的帮助、乏味、繁重、耗时和负担的评分。我们将两组从基线到12周的体重变化描述为探索性结局。使用Slip Buddy应用程序的参与者在干预后焦点小组中提供了如何改进它的反馈。 共有75%（48/64）的参与者为女性，平均年龄为39.8（SD 11.0）岁，平均BMI为34.2（SD 4.9）kg/m2。在两种条件下的保留率都很高，其中97%（31/32）保留在Slip Buddy条件下，94%（30/32）保留在卡路里跟踪条件下。平均而言，参与者在53.8%（SD 31.3%）的日子里使用了Slip Buddy应用程序，这与使用卡路里跟踪应用程序的人（平均57.5%，SD 28.4%的日子）没有显著差异，记录了Slip的参与者（30/32，94%）在12周内平均记录了17.9（SD 14.4）次Slip。最常见的滑倒发生在零食时间（220/538，40.9%）。滑倒最常发生在家中（297/538，55.2%），工作时（153/538，28.4%），社交时（130/538，24.2%）或屏幕时间（123/538，22.9%）。这些条件在参与者对分配给他们的应用程序的乏味、繁重或耗时的评分上没有差异（所有P值>.05），但卡路里跟踪条件使他们的应用程序具有更高的有用性和可用性评分（所有P值<.05）。技术问题是最常见的负反馈类型，而简单性是最常见的正反馈类型。31%（10/32）的Slip Buddy参与者和34%（11/32）的卡路里跟踪参与者实现了≥5%的基线体重减轻。 自我监测饮食失误和与之相关的背景因素可能是不喜欢卡路里跟踪的人的替代方案。未来的研究应该检查与坚持不同形式的饮食自我监测相关的患者特征。 ClinicalTrials.gov NCT02615171; https://clinicaltrials.gov/ct2/show/NCT02615171
Although calorie tracking is one of the strongest predictors of weight loss in behavioral weight loss interventions, low rates of adherence are common. This study aims to examine the feasibility and acceptability of using the Slip Buddy app during a 12-week web-based weight loss program. We conducted a randomized pilot trial to evaluate the feasibility and acceptability of using the Slip Buddy app compared with a popular commercial calorie tracking app during a counselor-led, web-based behavioral weight loss intervention. Adults who were overweight or obese were recruited on the web and randomized into a 12-week web-based weight loss intervention that included either the Slip Buddy app or a commercial calorie tracking app. Feasibility outcomes included retention, app use, usability, slips reported, and contextual factors reported at slips. Acceptability outcomes included ratings of how helpful, tedious, taxing, time consuming, and burdensome using the assigned app was. We described weight change from baseline to 12 weeks in both groups as an exploratory outcome. Participants using the Slip Buddy app provided feedback on how to improve it during the postintervention focus groups. A total of 75% (48/64) of the participants were female and, on average, 39.8 (SD 11.0) years old with a mean BMI of 34.2 (SD 4.9) kg/m2. Retention was high in both conditions, with 97% (31/32) retained in the Slip Buddy condition and 94% (30/32) retained in the calorie tracking condition. On average, participants used the Slip Buddy app on 53.8% (SD 31.3%) of days, which was not significantly different from those using the calorie tracking app (mean 57.5%, SD 28.4% of days), and participants who recorded slips (30/32, 94%) logged on average 17.9 (SD 14.4) slips in 12 weeks. The most common slips occurred during snack times (220/538, 40.9%). Slips most often occurred at home (297/538, 55.2%), while working (153/538, 28.4%), while socializing (130/538, 24.2%), or during screen time (123/538, 22.9%). The conditions did not differ in participants’ ratings of how their assigned app was tedious, taxing, or time consuming (all values of P>.05), but the calorie tracking condition gave their app higher helpfulness and usability ratings (all values of P<.05). Technical issues were the most common type of negative feedback, whereas simplicity was the most common type of positive feedback. Weight losses of ≥5% of baseline weight were achieved by 31% (10/32) of Slip Buddy participants and 34% (11/32) of calorie tracking participants. Self-monitoring of dietary lapses and the contextual factors associated with them may be an alternative for people who do not prefer calorie tracking. Future research should examine patient characteristics associated with adherence to different forms of dietary self-monitoring. ClinicalTrials.gov NCT02615171; https://clinicaltrials.gov/ct2/show/NCT02615171
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影响因子：
3.2
作者：
Hsieh, HF;Shannon, SE
通讯作者：
Shannon, SE
影响因子：
3
作者：
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影响因子：
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