ArticleNutrients2022
Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 22 citations in OpenAlex.
- Participants' experiences with the hybrid digital psychotherapy intervention-DIGIT for obesity and distress: A qualitative interview study.Internet interventions · 2026Article
- Acceptance, needs and demands of e-mental health interventions in adolescent elite athletes.Discover mental health · 2026Article
- Article
- Technology Acceptance of 2 mHealth Apps During an Observational Technology Evaluation Study: Qualitative Results of a Mixed Methods Study.JMIR human factors · 2026Observational
- 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
- 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
- The knowledge, attitudes, and practices of thoracic surgical nurses towards postoperative pulmonary rehabilitation.BMC pulmonary medicine · 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
- Understanding factors influencing the adoption of moxibustion techniques by the population: an extended study based on the UTAUT model.Frontiers in public health · 2025Article
- Acceptance, Needs, and Demands for Nutritional mHealth Support in Patients with Cardiovascular Disease.Nutrients · 2024Article
- 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
- 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
- Public acceptance of using artificial intelligence-assisted weight management apps in high-income southeast Asian adults with overweight and obesity: a cross-sectional study.Frontiers in nutrition · 2024Article
- Determining the Acceptance of Digital Cardiac Rehabilitation and Its Influencing Factors among Patients Affected by Cardiac Diseases.Journal of cardiovascular development and disease · 2023Article
- Acceptance, drivers, and barriers to use eHealth interventions in patients with post-COVID-19 syndrome for management of post-COVID-19 symptoms: a cross-sectional study.Therapeutic advances in neurological disorders · 2023Article
- Cucurbitacin B-, E-, and I-Induced Browning of White Adipocytes Is Promoted by the Inhibition of Phospholipase D2.International journal of molecular sciences · 2022Article
- Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Overweight and obesity carry a tremendous burden in terms of physiological and psychological comorbidities. There is a great variety of weight management applications to support weight reduction, but a systematical analysis of individuals' needs and requirements to adopt sustaining lifestyle changes is missing so far. This study aimed to assess the acceptance of such applications and its underlying predictors in individuals with overweight/obesity. A cross-sectional study was conducted, including 439 overweight/obese individuals. Health-related internet use and acceptance of weight management applications were examined using a modified questionnaire based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The general acceptance of weight management applications was high, with significant age differences. Compared to older individuals, younger ones showed a higher acceptance. BMI was not significantly associated with acceptance. Besides psychometric data and eHealth-related data, performance expectancy, effort expectancy, and social influence proved to be significant predictors for acceptance. The total variance explanation provided by the extended UTAUT model was 61.2%. The knowledge of the influencing factors on acceptance might be useful in developing, optimizing, and establishing weight management applications. For determining acceptance and its predictors of weight management applications, the UTAUT model is a valid approach.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.