Enzo G Plaitano, Daniel McNeish, Sophia M Bartels, Kathleen Bell, Jesse Dallery, Michael Grabinski, Michaela Kiernan, Hannah A Lavoie, Shea M Lemley, Michael R Lowe, David P MacKinnon, Stephen A Metcalf, Lisa Onken, Judith J Prochaska, Cady Lauren Sand, Emily A Scherer, Luke E Stoeckel, Haiyi Xie, Lisa A Marsch
{"title":"Adherence to a digital therapeutic mediates the relationship between momentary self-regulation and health risk behaviors.","authors":"Enzo G Plaitano, Daniel McNeish, Sophia M Bartels, Kathleen Bell, Jesse Dallery, Michael Grabinski, Michaela Kiernan, Hannah A Lavoie, Shea M Lemley, Michael R Lowe, David P MacKinnon, Stephen A Metcalf, Lisa Onken, Judith J Prochaska, Cady Lauren Sand, Emily A Scherer, Luke E Stoeckel, Haiyi Xie, Lisa A Marsch","doi":"10.3389/fdgth.2025.1467772","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>In the binge eating disorder sample, the perseverance [<i>β</i> <sub>1</sub> = 0.17, 95% CI = (0.06, 0.45)] and emotion regulation [<i>β</i> <sub>1</sub> = 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 [<i>β</i> <sub>2</sub> = 0.335, 95% CI = (0.030, 0.717)] and emotion regulation [<i>β</i> <sub>2</sub> = 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 [<i>β</i> = 0.91, 95% CI = (0.60, 1.24)]. However, higher Laddr adherence was not a predictor of CO values on the same day [<i>β</i> <sub>2</sub> = -0.09, 95% CI = (-0.24, 0.09)].</p><p><strong>Conclusions: </strong>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.</p><p><strong>Clinical trial registration: </strong>ClinicalTrials.gov, identifier (NCT03774433).</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1467772"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11841403/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fdgth.2025.1467772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: 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.
Methods: 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.
Results: In the binge eating disorder sample, the perseverance [β1 = 0.17, 95% CI = (0.06, 0.45)] and emotion regulation [β1 = 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 [β2 = 0.335, 95% CI = (0.030, 0.717)] and emotion regulation [β2 = 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 [β = 0.91, 95% CI = (0.60, 1.24)]. However, higher Laddr adherence was not a predictor of CO values on the same day [β2 = -0.09, 95% CI = (-0.24, 0.09)].
Conclusions: 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.