Cited 23 times in
Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial
DC Field | Value | Language |
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dc.date.accessioned | 2022-09-06T06:05:01Z | - |
dc.date.available | 2022-09-06T06:05:01Z | - |
dc.date.issued | 2020-04 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190149 | - |
dc.description.abstract | Background: Developing effective, widely useful, weight management programs is a priority in health care because obesity is a major health problem. Objective: This study developed and investigated a new, comprehensive, multifactorial, daily, intensive, psychologist coaching program based on cognitive behavioral therapy (CBT) modules. The program was delivered via the digital health care mobile services Noom Coach and InBody. Methods: This was an open-label, active-comparator, randomized controlled trial. A total of 70 female participants with BMI scores above 24 kg/m(2) and no clinical problems besides obesity were randomized into experimental and control groups. The experimental (ie, digital CBT) group (n=45) was connected with a therapist intervention using a digital health care service that provided daily feedback and assignments for 8 weeks. The control group (n=25) also used the digital health care service, but practiced self-care without therapist intervention. The main outcomes of this study were measured objectively at baseline, 8 weeks, and 24 weeks and included weight (kg) as well as other body compositions. Differences between groups were evaluated using independent t tests and a per-protocol framework. Results: Mean weight loss at 8 weeks in the digital CBT group was significantly higher than in the control group (-3.1%, SD 4.5, vs -0.7%, SD 3.4, P=.04). Additionally, the proportion of subjects who attained conventional 5% weight loss from baseline in the digital CBT group was significantly higher than in the control group at 8 weeks (32% [12/38] vs 4% [1/21], P=.02) but not at 24 weeks. Mean fat mass reduction in the digital CBT group at 8 weeks was also significantly greater than in the control group (-6.3%, SD 8.8, vs -0.8%, SD 8.1, P=.02). Mean leptin and insulin resistance in the digital CBT group at 8 weeks was significantly reduced compared to the control group (-15.8%, SD 29.9, vs 7.2%, SD 35.9, P=.01; and -7.1%, SD 35.1, vs 14.4%, SD 41.2, P=.04). Emotional eating behavior (ie, mean score) measured by questionnaire (ie, the Dutch Eating Behavior Questionnaire) at 8 weeks was significantly improved compared to the control group (-2.8%, SD 34.4, vs 21.6%, SD 56.9, P=.048). Mean snack calorie intake in the digital CBT group during the intervention period was significantly lower than in the control group (135.9 kcal, SD 86.4, vs 208.2 kcal, SD 166.3, P=.02). Lastly, baseline depression, anxiety, and self-esteem levels significantly predicted long-term clinical outcomes (24 weeks), while baseline motivation significantly predicted both short-term (8 weeks) and long-term clinical outcomes. Conclusions: These findings confirm that technology-based interventions should be multidimensional and are most effective with human feedback and support. This study is innovative in successfully developing and verifying the effects of a new CBT approach with a multidisciplinary team based on digital technologies rather than standalone technology-based interventions. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | JMIR Publications Inc. | - |
dc.relation.isPartOf | JMIR MHEALTH AND UHEALTH | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Cognitive Behavioral Therapy* | - |
dc.subject.MESH | Feeding Behavior | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Obesity* / therapy | - |
dc.subject.MESH | Weight Loss | - |
dc.title | Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | Meelim Kim | - |
dc.contributor.googleauthor | Youngin Kim | - |
dc.contributor.googleauthor | Yoonjeong Go | - |
dc.contributor.googleauthor | Seokoh Lee | - |
dc.contributor.googleauthor | Myeongjin Na | - |
dc.contributor.googleauthor | Younghee Lee | - |
dc.contributor.googleauthor | Sungwon Choi | - |
dc.contributor.googleauthor | Hyung Jin Choi | - |
dc.identifier.doi | 10.2196/14817 | - |
dc.relation.journalcode | J03418 | - |
dc.identifier.eissn | 2291-5222 | - |
dc.identifier.pmid | 32352391 | - |
dc.subject.keyword | obesity | - |
dc.subject.keyword | digital health care | - |
dc.subject.keyword | cognitive behavioral therapy | - |
dc.subject.keyword | mobile phone | - |
dc.citation.volume | 8 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | e14817 | - |
dc.identifier.bibliographicCitation | JMIR MHEALTH AND UHEALTH, Vol.8(4) : e14817, 2020-04 | - |
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