Plaitano Enzo G, McNeish Daniel, Bartels Sophia M, Bell Kathleen, Dallery Jesse, Grabinski Michael, Kiernan Michaela, Lavoie Hannah A, Lemley Shea M, Lowe Michael R, MacKinnon David P, Metcalf Stephen A, Onken Lisa, Prochaska Judith J, Sand Cady Lauren, Scherer Emily A, Stoeckel Luke E, Xie Haiyi, Marsch Lisa A
Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.
Front Digit Health. 2025 Feb 4;7:1467772. doi: 10.3389/fdgth.2025.1467772. eCollection 2025.
Smoking, obesity, and insufficient physical activity are modifiable health risk behaviors. Self-regulation is one fundamental behavior change mechanism often incorporated within digital therapeutics as it varies momentarily across time and contexts and may play a causal role in improving these health behaviors. However, the role of momentary self-regulation in achieving behavior change has been infrequently examined. Using a novel momentary self-regulation scale, this study examined how targeting self-regulation through a digital therapeutic impacts adherence to the therapeutic and two different health risk behavioral outcomes.
This prospective interventional study included momentary data for 28 days from 50 participants with obesity and binge eating disorder and 50 participants who smoked regularly. An evidence-based digital therapeutic, called Laddr™, provided self-regulation behavior change tools. Participants reported on their momentary self-regulation via ecological momentary assessments and health risk behaviors were measured as steps taken from a physical activity tracker and breathalyzed carbon monoxide. Medical regimen adherence was assessed as daily Laddr usage. Bayesian dynamic mediation models were used to examine moment-to-moment mediation effects between momentary self-regulation subscales, medical regimen adherence, and behavioral outcomes.
In the binge eating disorder sample, the perseverance [ = 0.17, 95% CI = (0.06, 0.45)] and emotion regulation [ = 0.12, 95% CI = (0.03, 0.27)] targets of momentary self-regulation positively predicted Laddr adherence on the following day, and higher Laddr adherence was subsequently a positive predictor of steps taken the same day for both perseverance [ = 0.335, 95% CI = (0.030, 0.717)] and emotion regulation [ = 0.389, 95% CI = (0.080, 0.738)]. In the smoking sample, the perseverance target of momentary self-regulation positively predicted Laddr adherence on the following day [ = 0.91, 95% CI = (0.60, 1.24)]. However, higher Laddr adherence was not a predictor of CO values on the same day [ = -0.09, 95% CI = (-0.24, 0.09)].
This study provides evidence that a digital therapeutic targeting self-regulation can modify the relationships between momentary self-regulation, medical regimen adherence, and behavioral health outcomes. Together, this work demonstrated the ability to digitally assess the transdiagnostic mediating effect of momentary self-regulation on medical regimen adherence and pro-health behavioral outcomes.
ClinicalTrials.gov, identifier (NCT03774433).
吸烟、肥胖和缺乏体育锻炼是可改变的健康风险行为。自我调节是数字疗法中经常纳入的一种基本行为改变机制,因为它会随时间和情境瞬间变化,并且可能在改善这些健康行为中发挥因果作用。然而,瞬间自我调节在实现行为改变中的作用很少被研究。本研究使用一种新颖的瞬间自我调节量表,考察了通过数字疗法针对自我调节如何影响对疗法的依从性以及两种不同的健康风险行为结果。
这项前瞻性干预研究纳入了50名肥胖和暴饮暴食症参与者以及50名经常吸烟的参与者28天的瞬间数据。一种名为Laddr™的循证数字疗法提供自我调节行为改变工具。参与者通过生态瞬间评估报告他们的瞬间自我调节情况,健康风险行为通过身体活动追踪器记录的步数和呼出一氧化碳的检测来衡量。药物治疗依从性通过每日使用Laddr来评估。使用贝叶斯动态中介模型来检验瞬间自我调节子量表、药物治疗依从性和行为结果之间的瞬间中介效应。
在暴饮暴食症样本中,瞬间自我调节的毅力目标(β = 0.17,95%CI = (0.06, 0.45))和情绪调节目标(β = 0.12,95%CI = (0.03, 0.27))正向预测次日对Laddr疗法的依从性,而更高的Laddr疗法依从性随后正向预测同一天毅力目标(β = 0.335,95%CI = (0.030, 0.717))和情绪调节目标(β = 0.389,95%CI = (0.080, 0.738))的步数。在吸烟样本中,瞬间自我调节的毅力目标正向预测次日对Laddr疗法的依从性(β = 0.91,95%CI = (0.60, 1.24))。然而,更高的Laddr疗法依从性不是同一天一氧化碳值的预测指标(β = -0.09,95%CI = (-0.24, 0.09))。
本研究提供了证据,表明一种针对自我调节的数字疗法可以改变瞬间自我调节、药物治疗依从性和行为健康结果之间的关系。总之,这项工作展示了数字评估瞬间自我调节对药物治疗依从性和促进健康行为结果的跨诊断中介效应的能力。
ClinicalTrials.gov,标识符(NCT03774433)。