Examination of the relationship between lapses and weight loss in a smartphone-based just-in time adaptive intervention. Issue 4 (14th October 2020)
- Record Type:
- Journal Article
- Title:
- Examination of the relationship between lapses and weight loss in a smartphone-based just-in time adaptive intervention. Issue 4 (14th October 2020)
- Main Title:
- Examination of the relationship between lapses and weight loss in a smartphone-based just-in time adaptive intervention
- Authors:
- Goldstein, Stephanie P
Brick, Leslie A
Thomas, J Graham
Forman, Evan M - Abstract:
- Abstract: We developed a smartphone-based just-in-time adaptive intervention (JITAI), called OnTrack, that provides personalized intervention to prevent dietary lapses (i.e., nonadherence from the behavioral weight loss intervention diet). OnTrack utilizes ecological momentary assessment (EMA; repeated electronic surveys) for self-reporting lapse triggers, predicts lapses using machine learning, and provides brief intervention to prevent lapse. We have established preliminary feasibility, acceptability, and efficacy of OnTrack, but no study has examined our hypothesized mechanism of action: reduced lapse frequency will be associated with greater weight loss while using OnTrack. This secondary analysis investigated the association between lapse frequency and the weekly percentage of weight loss. Post hoc analyses evaluated the moderating effect of OnTrack engagement on this association. Participants ( N = 121) with overweight/obesity ( M BMI = 34.51; 84.3% female; 69.4% White) used OnTrack with a digital weight loss program for 10 weeks. Engagement with OnTrack (i.e., EMA completed and interventions accessed) was recorded automatically, participants self-reported dietary lapses via EMA, and weighed weekly using Bluetooth scales. Linear mixed models with a random effect of subject and fixed effect of time revealed a nonsignificant association between weekly lapses and the percentage of weight loss. Post hoc analyses revealed a statistically significant moderation effect ofAbstract: We developed a smartphone-based just-in-time adaptive intervention (JITAI), called OnTrack, that provides personalized intervention to prevent dietary lapses (i.e., nonadherence from the behavioral weight loss intervention diet). OnTrack utilizes ecological momentary assessment (EMA; repeated electronic surveys) for self-reporting lapse triggers, predicts lapses using machine learning, and provides brief intervention to prevent lapse. We have established preliminary feasibility, acceptability, and efficacy of OnTrack, but no study has examined our hypothesized mechanism of action: reduced lapse frequency will be associated with greater weight loss while using OnTrack. This secondary analysis investigated the association between lapse frequency and the weekly percentage of weight loss. Post hoc analyses evaluated the moderating effect of OnTrack engagement on this association. Participants ( N = 121) with overweight/obesity ( M BMI = 34.51; 84.3% female; 69.4% White) used OnTrack with a digital weight loss program for 10 weeks. Engagement with OnTrack (i.e., EMA completed and interventions accessed) was recorded automatically, participants self-reported dietary lapses via EMA, and weighed weekly using Bluetooth scales. Linear mixed models with a random effect of subject and fixed effect of time revealed a nonsignificant association between weekly lapses and the percentage of weight loss. Post hoc analyses revealed a statistically significant moderation effect of OnTrack engagement such that fewer EMA and interventions completed conferred the expected associations between lapses and weight loss. Lapses were not associated with weight loss in this study and one explanation may be the influence of engagement levels on this relationship. Future research should investigate the role of engagement in evaluating JITAIs. Abstract : Participants with overweight/obesity used a smartphone app aimed at helping them prevent lapses from their weight loss diet, and engagement with this app influenced whether the number of lapses they reported was related to the weight they lost each week. … (more)
- Is Part Of:
- Translational behavioral medicine. Volume 11:Issue 4(2021)
- Journal:
- Translational behavioral medicine
- Issue:
- Volume 11:Issue 4(2021)
- Issue Display:
- Volume 11, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 2021-0011-0004-0000
- Page Start:
- 993
- Page End:
- 1005
- Publication Date:
- 2020-10-14
- Subjects:
- Lapses -- Weight loss -- Diet -- Digital health -- Engagement
Medicine and psychology -- Periodicals
616.0019 - Journal URLs:
- http://www.springerlink.com/content/1869-6716 ↗
http://www.springer.com/gb/ ↗ - DOI:
- 10.1093/tbm/ibaa097 ↗
- Languages:
- English
- ISSNs:
- 1869-6716
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9024.050000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24942.xml