ArticleJMIR mHealth and uHealth2019
Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05031299 (Lifestyle-related Early Detection and Intervention for Older Adults & Elderly at Risk for Metabolic Syndrome), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Lifestyle-related Early Detection and Intervention for Older Adults & Elderly at Risk for Metabolic Syndrome: GATEKEEPER
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.
- Middle-aged and older adults' acceptance of mobile nutrition and fitness apps: A systematic mixed studies review.PloS one · 2022Pooled it
- Patterns and Characteristics of Mobile App Use to Promote Wellness and Manage Illness: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- The Impact of Mobile Health Literacy, Socioeconomic Factors, and Engagement Patterns on DiabetesXcel App Usage in Adults.Journal of diabetes and metabolic disorders · 2025Article
- A person-centered approach to digital health technologies for cancer prevention: Qualitative findings on use of technology-based interventions in Houston, Texas.Preventive medicine reports · 2025Article
- An empirical study on the use behavior towards AI painting tools based on TAM3 model.Scientific reports · 2025Article
- Assessing Patient Perceptions of Virtual Reality Use for Pelvic Exams.Journal of medical extended reality · 2025Article
- Psychological and technological predictors of the physical activity intention-behavior gap: an explainable machine learning analysis.Frontiers in psychology · 2025Article
- Intention to use digital-based psychosocial counseling and its predictors among students in University of Gondar, Northwest Ethiopia, 2023: Using modified unified theory of acceptance and use of technology model.SAGE open medicine · 2025Article
- [Concept of Digital Health Literacy: A Scoping Review].Jugan geon-gang gwa jilbyeong · 2024Review
- Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review.Interactive journal of medical research · 2023Article
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- Linking Activity Theory Within User-Centered Design: Novel Framework to Inform Design and Evaluation of Adverse Drug Reaction Reporting Systems in Pharmacy.JMIR human factors · 2023Article
- Individual and Parental Factors of Adolescents' mHealth App Use: Nationally Representative Cross-sectional Study.JMIR mHealth and uHealth · 2022Article
- Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.BMC medical informatics and decision making · 2022Article
- Article
- Impact of Actual Use Behavior of Healthcare Wearable Devices on Quality of Life: A Cross-Sectional Survey of People with Dementia and Their Caregivers in Ghana.Healthcare (Basel, Switzerland) · 2022Article
- Influencing Factors of College Students' Use of Sports Apps in Mandatory Situations: Based on UTAUT and SDT.BioMed research international · 2022Article
- Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory.Frontiers in psychology · 2022Article
- Middle-aged and elderly users' continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China.BMC medical informatics and decision making · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany university students are lacking adequate physical exercise and are failing to develop physical activity (PA) behaviors in China. PA app use could improve this situation.
objectiveThe aim of this study was to use the unified theory of acceptance and use of technology (UTAUT) to investigate the intention to use PA apps among university students in Guangzhou, China, and how body mass index (BMI) moderates the effects of UTAUT in explaining PA app use intention.
methodsA cross-sectional study was conducted among 1704 university students from different universities in Guangzhou, China. The UTAUT model was used to measure the determinants of intention to use PA apps.
resultsOf the participants, 41.8% (611/1461) intended to use PA apps. All three UTAUT-related scales (performance expectancy, effort expectancy, and social influence) were positively associated with the intention to use PA apps after adjusting for background variables (adjusted odds ratio 1.10-1.31, P<.001). The performance expectancy scale had stronger associations with the intention to use PA apps among those whose BMI were beyond normal range compared with those whose BMI were within normal range (P<.001).
conclusionsUTAUT is useful for understanding university students' intention to use PA apps. Potential moderating effects should be kept in mind when designing UTAUT-based interventions to improve PA via app use.
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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.