ArticleJMIR formative research2022
Predicting Acceptance of e-Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- What internet- and mobile-based interventions are currently available for adults with overweight or obesity experiencing symptoms of depression? A systematic review.International journal of obesity (2005) · 2025Pooled it
- Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials.Frontiers in psychiatry · 2024Pooled it
- Participants' experiences with the hybrid digital psychotherapy intervention-DIGIT for obesity and distress: A qualitative interview study.Internet interventions · 2026Article
- Virtual Preoperative Education in Bariatric Surgery: Patient Acceptance and Travel-Related Carbon Savings.Obesity surgery · 2026Article
- Acceptance, needs and demands of e-mental health interventions in adolescent elite athletes.Discover mental health · 2026Article
- Acceptance of Men Living With HIV Toward Treatment-Supportive Mobile Apps Using the Unified Theory of Acceptance and Use of Technology: Cross-Sectional Study.JMIR formative research · 2026Article
- Drivers and barriers of acceptance of eHealth interventions in postpartum mental health care: a cross-sectional study.BMC public health · 2025Article
- Article
- Patient acceptance of video consultations in cardiology.European heart journal. Digital health · 2025Article
- Acceptance, Drivers, and Barriers to Use of mHealth Apps to Improve Quality of Life in Female Patients Affected by Hypothyroidism: Cross-Sectional Study.JMIR formative research · 2025Article
- Depression and Anxiety Among Obese and Overweight Individuals in Saudi Arabia: A Systematic Review and Meta-Analysis.Cureus · 2025Review
- Understanding Dermatologists' Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis.JMIR human factors · 2025Article
- Digital Health Literacy and Attitudes Toward eHealth Technologies Among Patients With Cardiovascular Disease and Their Implications for Secondary Prevention: Survey Study.JMIR formative research · 2025Article
- Assessing the Uses, Benefits, and Limitations of Digital Technologies Used by Health Professionals in Supporting Obesity and Mental Health Communication: Scoping Review.Journal of medical Internet research · 2025Article
- Medical Students' Acceptance of Tailored e-Mental Health Apps to Foster Their Mental Health: Cross-Sectional Study.JMIR medical education · 2025Article
- Videoconferencing psychotherapy: determining acceptance, drivers and barriers of use.Frontiers in digital health · 2025Article
- Assessing Electronic Health Literacy in Individuals With the Post-COVID-19 Condition Using the German Revised eHealth Literacy Scale: Validation Study.JMIR formative research · 2024Article
- Article
- Perceived Barriers and Facilitators of Behavioral-Health Modality Change Adoption During the COVID-19 Pandemic: A Systematic Review.Journal of multidisciplinary healthcare · 2024Review
- Determining the acceptance of e-mental health interventions in elite athletes using the unified theory of acceptance and use of technology.Frontiers in sports and active living · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rapid increase in the number of people who are overweight and obese is a worldwide health problem. Obesity is often associated with physiological and mental health burdens. Owing to several barriers to face-to-face psychotherapy, a promising approach is to exploit recent developments and implement innovative e-mental health interventions that offer various benefits to patients with obesity and to the health care system.
objectiveThis study aims to assess the acceptance of e-mental health interventions in patients with obesity and explore its influencing predictors. In addition, the well-established Unified Theory of Acceptance and Use of Technology (UTAUT) model is compared with an extended UTAUT model in terms of variance explanation of acceptance.
methodsA cross-sectional web-based survey study was conducted from July 2020 to January 2021 in Germany. Eligibility requirements were adult age (≥18 years), internet access, good command of the German language, and BMI >30 kg/m
resultsOverall, the acceptance of e-mental health interventions in patients with obesity was moderate (mean 3.18, SD 1.11). Significant differences in the acceptance of e-mental health interventions among patients with obesity exist, depending on the grade of obesity, age, sex, occupational status, and mental health status. In an extended UTAUT regression model, acceptance was significantly predicted by the depression score (Patient Health Questionnaire-8; β=.07; P=.03), stress owing to constant availability via mobile phone or email (β=.06; P=.02), and confidence in using digital media (β=-0.058; P=.04) and by the UTAUT core predictors performance expectancy (β=.45; P<.001), effort expectancy (β=.22; P<.001), and social influence (β=.27; P<.001). The comparison between an extended UTAUT model (16 predictors) and the restrictive UTAUT model (performance expectancy, effort expectancy, and social influence) revealed a significant difference in explained variance (F
conclusionsThe UTAUT model has proven to be a valuable instrument to predict the acceptance of e-mental health interventions in patients with obesity. The extended UTAUT model explained a significantly high percentage of variance in acceptance (in total 73.6%). On the basis of the strong association between acceptance and future use, new interventions should focus on these UTAUT predictors to promote the establishment of effective e-mental health interventions for patients with obesity who experience mental health burdens.
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