Search Results (1 to 10 of 737 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 231 Journal of Medical Internet Research
- 113 JMIR Research Protocols
- 75 JMIR Formative Research
- 73 JMIR mHealth and uHealth
- 42 JMIR Medical Informatics
- 41 JMIR Public Health and Surveillance
- 39 Online Journal of Public Health Informatics
- 27 JMIR Mental Health
- 17 JMIR Human Factors
- 14 JMIR Serious Games
- 11 JMIR Cancer
- 8 JMIR Aging
- 7 JMIR Pediatrics and Parenting
- 5 JMIR Medical Education
- 4 JMIR AI
- 4 JMIR Dermatology
- 3 Interactive Journal of Medical Research
- 3 Iproceedings
- 3 JMIR Biomedical Engineering
- 3 JMIR Infodemiology
- 3 JMIR Perioperative Medicine
- 3 JMIR Rehabilitation and Assistive Technologies
- 2 JMIR Cardio
- 2 JMIR Diabetes
- 2 JMIR XR and Spatial Computing (JMXR)
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR Nursing
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
Go back to the top of the page Skip and go to footer section
Previous studies have demonstrated an independent association between FEV1 and the risk of AE-COPD in both young and old patients with COPD [6,7]. FEV1 is a key predictor of AE-COPD in the majority of existing prediction models [8]. However, its association with exacerbations is relatively weak, limiting its role as a predictive factor [9].
J Med Internet Res 2025;27:e69785
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Reference 17: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety Reference 46: Supported web-based guided self-help for insomnia for young people attending child and
J Med Internet Res 2025;27:e69351
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Prevalence, time trends, and correlates of major depressive episode and other psychiatric conditions among young
J Med Internet Res 2025;27:e67156
Download Citation: END BibTex RIS
In addition, after the COVID-19 pandemic stay-at-home orders in the United States, social media platforms became an online “home” for many SGM [51,52]; however, further study on social media use by young (ie, 16‐34 years old) Black SGM is warranted.
Our findings suggest that, while we did not identify differences in betweenness centrality based on a participant’s HIV care cascade in the partial networks, we did so in the fuzzy-like network.
JMIR Public Health Surveill 2025;11:e64497
Download Citation: END BibTex RIS
Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review
The age distribution of participants spanned from young adulthood (aged ≥18 y) to older adults (aged up to 90 y), with the mean age of participants most commonly between their late 20s to mid-50s. Methodologically, the included studies primarily used randomized controlled trial designs. The assessment periods varied substantially, ranging from immediate posttest intervention evaluations to longitudinal follow-ups (12 months after baseline).
J Med Internet Res 2025;27:e63360
Download Citation: END BibTex RIS
Globally, 1 in 7 young people aged 10 to 19 years are estimated to experience a mental illness [1]. Depression, anxiety, and behavioral disorders are considered some of the main contributors to the burden of disability and disease in young populations [2,3]. Likewise, suicide has been found to be one of the main causes of death in this population [1,4].
JMIR Hum Factors 2025;12:e66558
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section