e.g. mhealth
Search Results (1 to 5 of 5 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 1 JMIR Aging
- 1 JMIR Formative Research
- 1 JMIR Infodemiology
- 1 JMIR mHealth and uHealth
- 1 Journal of Medical Internet Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)

Applications of Self-Driving Vehicles in an Aging Population
In the United States, driving remains a symbol of independence and is an important means to maintain a connection to and identity within the community. For many community-dwelling older adults, private vehicles remain the primary mode of transportation. In the United States, there are over 55 million licensed automobile drivers over 65 years of age, comprising over 25% of the total driving population [1].
JMIR Form Res 2025;9:e66180
Download Citation: END BibTex RIS

Through semistructured interviews with 20 participants aged ≥65 years who were actively driving, we explored their perceptions of their driving abilities, identified the challenges they face while driving, examined strategies for managing these challenges, and assessed the efforts they put into maintaining their driving capabilities, if any.
JMIR Aging 2024;7:e57402
Download Citation: END BibTex RIS

Certain cannabis use behaviors can increase the risk of experiencing harmful effects [3], such as daily use of cannabis, using cannabis products with high tetrahydrocannabinol content, or driving under the influence of cannabis (DUIC) [4]. In Canada, approximately 1-2 out of every 5 cannabis consumers engage in some form of risky behaviors [3], with 4%-12% of all injuries and deaths from motor vehicle accidents being attributed to DUIC [5].
JMIR Infodemiology 2023;3:e43001
Download Citation: END BibTex RIS

Therefore, it is becoming increasingly important to develop ways of testing their health status and assessing their suitability for driving [7].
Elderly drivers have the self-control to reflect on their driving ability and prevent driving risk themselves [8]. They generally tend to avoid dangerous driving situations, such as long-duration driving, high-speed driving, and uncomfortable driving situations such as driving at night or in the rain [9].
JMIR Mhealth Uhealth 2021;9(6):e25310
Download Citation: END BibTex RIS

Evaluating In-Car Movements in the Design of Mindful Commute Interventions: Exploratory Study
We define perceived stress as the self-reported level of stress and perceived driving performance as a self-reported account of the difficulty of continuing driving while executing the movements. We correct all self-report metrics for individual differences by subtracting against an individual baseline and normalizing repeated measures.
We present insights drawn from participants driving under highway (simple) and city (complex) scenarios and using manual and autonomous vehicles.
J Med Internet Res 2017;19(12):e372
Download Citation: END BibTex RIS