Search Results (1 to 10 of 4826 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 1375 Journal of Medical Internet Research
- 830 JMIR Research Protocols
- 588 JMIR Formative Research
- 405 JMIR mHealth and uHealth
- 207 JMIR Mental Health
- 192 JMIR Public Health and Surveillance
- 164 Online Journal of Public Health Informatics
- 145 JMIR Medical Informatics
- 136 JMIR Human Factors
- 95 JMIR Cancer
- 74 JMIR Aging
- 70 JMIR Pediatrics and Parenting
- 66 JMIR Serious Games
- 61 Iproceedings
- 55 Interactive Journal of Medical Research
- 55 JMIR Medical Education
- 48 JMIR Diabetes
- 40 JMIR Cardio
- 34 JMIR Dermatology
- 32 JMIR Rehabilitation and Assistive Technologies
- 26 JMIRx Med
- 23 JMIR AI
- 23 JMIR Perioperative Medicine
- 21 JMIR Infodemiology
- 21 JMIR Nursing
- 21 Journal of Participatory Medicine
- 7 JMIR Bioinformatics and Biotechnology
- 5 JMIR Neurotechnology
- 4 JMIR Biomedical Engineering
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR XR and Spatial Computing (JMXR)
- 1 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Those with only 1 day of entries (n=322) were excluded from the analysis and were similar to the analytical sample in terms of baseline weight (P=.08) and fasting glucose (P=.41) but had a lower BMI (24.5kg/m², P=.01) and included significantly more men and nonbinary individuals (P
The app was used by the analytical sample for a median of 19 (IQR 9-28) days, with 7 (IQR 3-13) weight entries and 52 (IQR 25-82) glucose entries, which were primarily preprandial glucose entries (Table 2).
JMIR Form Res 2025;9:e65368
Download Citation: END BibTex RIS
Developed in 1989 by Davis [11], the technology acceptance model (TAM) is the most widely used framework to predict technology acceptance and uptake, especially for health care technologies [11-13]. TAM focuses on two fundamental principles: perceived usefulness (PU) and perceived ease of use (PEOU). PU proposes that app use depends on the extent a user finds it beneficial to their desired outcome [11].
J Med Internet Res 2025;27:e66432
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review
J Med Internet Res 2025;27:e63360
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Wearable Artificial Intelligence for Sleep Disorders: Scoping Review
J Med Internet Res 2025;27:e65272
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section