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Digital behaviour change intervention for weight loss maintenance in adults with obesity: a feasibility pilot study of eCHANGE.

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Title: Digital behaviour change intervention for weight loss maintenance in adults with obesity: a feasibility pilot study of eCHANGE.
Authors: Asbjørnsen, R. A., Børøsund, E., Hjelmesæth, J., Smedsrød, M. L., Ollivier, M., Wentzel, J., Clark, M. M., van Gemert-Pijnen, J. E. W. C., Solberg Nes, L.
Source: Behaviour & Information Technology. Jul2025, Vol. 44 Issue 11, p2577-2595. 19p.
Subjects: Obesity treatment, Weight loss, Mobile apps, Data security, Self-management (Psychology), Persuasion (Rhetoric), Behavior modification, Body mass index, Research funding, Qualitative research, T-test (Statistics), Regulation of body weight, Digital health, Clinical trials, Pilot projects, Questionnaires, Interviewing, Body weight, Statistical sampling, Privacy, Sex distribution, Research evaluation, Behavior, Treatment effectiveness, Self-control, Anxiety, Quantitative research, Tertiary care, Age distribution, Telemedicine, Experience, Surveys, Health behavior, Research methodology, Food habits, Sleep, Marital status, User-centered system design, Sociodemographic factors, Data analysis software, Patients' attitudes, Mental depression, Medical ethics, Educational attainment, Employment, Adults
Geographic Terms: Norway
Abstract: Successful weight maintenance after weight loss is challenging. Digital interventions may facilitate behaviour change to prevent weight regain, however little is known about the acceptance and use of digital interventions in support of weight maintenance. This mixed methods study aims to evaluate user experiences, system use, and preliminary efficacy of eCHANGE, an application based self-management intervention for weight loss maintenance. A 3-month multi-site single group feasibility pilot study was conducted among adults (N = 60) with BMI ≥30 kg/m2, aiming to maintain weight after weight loss of ≥8%. User experiences and system use were examined through validated questionnaires, system use log data, and individual interviews (n = 15). Preliminary efficacy testing included body weight and patient reported outcome measures. Participants rated eCHANGE usability and usefulness as good in support of weight maintenance, with variation in usage. Analysis indicated that higher behavioural engagement scores were statistically significantly associated with frequency of technology usage. Weight loss was maintained by 83% of the participants at 3-months (i.e. defined as weight change of <3% of baseline body weight (kg)). Digital interventions, combining persuasive system design principles and behaviour change techniques, supporting self-regulation and maintenance of health behaviours, have the potential to facilitate weight maintenance after weight loss. Trial Registration: ClinicalTrials.gov NCT04537988 [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Successful weight maintenance after weight loss is challenging. Digital interventions may facilitate behaviour change to prevent weight regain, however little is known about the acceptance and use of digital interventions in support of weight maintenance. This mixed methods study aims to evaluate user experiences, system use, and preliminary efficacy of eCHANGE, an application based self-management intervention for weight loss maintenance. A 3-month multi-site single group feasibility pilot study was conducted among adults (N = 60) with BMI ≥30 kg/m2, aiming to maintain weight after weight loss of ≥8%. User experiences and system use were examined through validated questionnaires, system use log data, and individual interviews (n = 15). Preliminary efficacy testing included body weight and patient reported outcome measures. Participants rated eCHANGE usability and usefulness as good in support of weight maintenance, with variation in usage. Analysis indicated that higher behavioural engagement scores were statistically significantly associated with frequency of technology usage. Weight loss was maintained by 83% of the participants at 3-months (i.e. defined as weight change of &lt;3% of baseline body weight (kg)). Digital interventions, combining persuasive system design principles and behaviour change techniques, supporting self-regulation and maintenance of health behaviours, have the potential to facilitate weight maintenance after weight loss. Trial Registration: ClinicalTrials.gov NCT04537988 [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Behaviour &amp; Information Technology is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/0144929X.2024.2399299
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 2577
    Subjects:
      – SubjectFull: Obesity treatment
        Type: general
      – SubjectFull: Weight loss
        Type: general
      – SubjectFull: Mobile apps
        Type: general
      – SubjectFull: Data security
        Type: general
      – SubjectFull: Self-management (Psychology)
        Type: general
      – SubjectFull: Persuasion (Rhetoric)
        Type: general
      – SubjectFull: Behavior modification
        Type: general
      – SubjectFull: Body mass index
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Qualitative research
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Regulation of body weight
        Type: general
      – SubjectFull: Digital health
        Type: general
      – SubjectFull: Clinical trials
        Type: general
      – SubjectFull: Pilot projects
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Body weight
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        Type: general
      – SubjectFull: Privacy
        Type: general
      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Behavior
        Type: general
      – SubjectFull: Treatment effectiveness
        Type: general
      – SubjectFull: Self-control
        Type: general
      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Tertiary care
        Type: general
      – SubjectFull: Age distribution
        Type: general
      – SubjectFull: Telemedicine
        Type: general
      – SubjectFull: Experience
        Type: general
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Health behavior
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Food habits
        Type: general
      – SubjectFull: Sleep
        Type: general
      – SubjectFull: Marital status
        Type: general
      – SubjectFull: User-centered system design
        Type: general
      – SubjectFull: Sociodemographic factors
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Patients' attitudes
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Medical ethics
        Type: general
      – SubjectFull: Educational attainment
        Type: general
      – SubjectFull: Employment
        Type: general
      – SubjectFull: Adults
        Type: general
      – SubjectFull: Norway
        Type: general
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              Text: Jul2025
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