Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Int J Eat Disord. 2022 Aug;55(8):1031-1041. doi: 10.1002/eat.23726. Epub 2022 May 2.
Using preliminary data from the Binge-Eating Genetics Initiative (BEGIN), we evaluated the feasibility of delivering an eating disorder digital app, Recovery Record, through smartphone and wearable technology for individuals with binge-type eating disorders.
Participants (n = 170; 96% female) between 18 and 45 years old with lived experience of binge-eating disorder or bulimia nervosa and current binge-eating episodes were recruited through the Recovery Record app. They were randomized into a Watch (first-generation Apple Watch + iPhone) or iPhone group; they engaged with the app over 30 days and completed baseline and endpoint surveys. Retention, engagement, and associations between severity of illness and engagement were evaluated.
Significantly more participants in the Watch group completed the study (p = .045); this group had greater engagement than the iPhone group (p's < .05; pseudo-R effect size = .01-.34). Overall, binge-eating episodes, reported for the previous 28 days, were significantly reduced from baseline (mean = 12.3) to endpoint (mean = 6.4): most participants in the Watch (60%) and iPhone (66%) groups reported reduced binge-eating episodes from baseline to endpoint. There were no significant group differences across measures of binge eating. In the Watch group, participants with fewer episodes of binge eating at baseline were more engaged (p's < .05; pseudo-R = .01-.02). Engagement did not significantly predict binge eating at endpoint nor change in binge-eating episodes from baseline to endpoint for both the Watch and iPhone groups.
Using wearable technology alongside iPhones to deliver an eating disorder app may improve study completion and app engagement compared with using iPhones alone.
利用暴食症遗传学计划(BEGIN)的初步数据,我们评估了通过智能手机和可穿戴技术为暴食症患者提供饮食失调数字应用程序 Recovery Record 的可行性。
通过 Recovery Record 应用程序招募了 170 名年龄在 18 至 45 岁之间、有暴食症或贪食症病史且目前有暴食发作的参与者(96%为女性)。他们被随机分为 Watch(第一代苹果手表+iPhone)或 iPhone 组;他们在 30 天内使用该应用程序,并完成基线和终点调查。评估了保留率、参与度以及疾病严重程度与参与度之间的关联。
Watch 组有更多的参与者完成了研究(p=0.045);该组的参与度显著高于 iPhone 组(p 值均<0.05;伪 R 效应大小为 0.01-0.34)。总体而言,与基线相比(均值=12.3),前 28 天报告的暴食发作明显减少(均值=6.4):Watch 组(60%)和 iPhone 组(66%)的大多数参与者报告暴食发作从基线到终点减少。两组暴食行为的测量均无显著差异。在 Watch 组中,基线时暴食发作次数较少的参与者参与度更高(p 值均<0.05;伪 R=0.01-0.02)。无论是 Watch 组还是 iPhone 组,参与度都不能显著预测终点时的暴食行为,也不能预测从基线到终点暴食发作的变化。
与单独使用 iPhone 相比,使用可穿戴技术与 iPhone 一起提供饮食失调应用程序可能会提高研究完成率和应用程序参与度。