e.g. mhealth
Search Results (1 to 10 of 247 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 51 JMIR Formative Research
- 46 Journal of Medical Internet Research
- 45 JMIR Research Protocols
- 42 JMIR mHealth and uHealth
- 15 JMIR Pediatrics and Parenting
- 13 JMIR Mental Health
- 9 JMIR Public Health and Surveillance
- 6 JMIR Aging
- 4 Interactive Journal of Medical Research
- 4 JMIR Human Factors
- 2 JMIR Cardio
- 2 JMIR Dermatology
- 1 Iproceedings
- 1 JMIR AI
- 1 JMIR Biomedical Engineering
- 1 JMIR Cancer
- 1 JMIR Diabetes
- 1 JMIR Medical Education
- 1 JMIR Nursing
- 1 JMIR Serious Games
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Medical Informatics
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Perioperative Medicine
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Information about RA included disease duration, menopausal status, other associated rheumatic diseases (osteoarthritis, spondyloarthropathy or ankylosing spondylitis, fibromyalgia or chronic widespread pain, gout or other crystal arthritis, Sjögren syndrome, thyroid disorder, diabetes, multiple sclerosis, and hypertension), sleep-related problems (restless leg syndrome and obstructive sleep apnea or snoring), current medications (sleep medicine and pain medicine), and disease activity, measured by Routine Assessment
JMIR Mhealth Uhealth 2025;13:e64889
Download Citation: END BibTex RIS
Let’s Grow is a novel m Health intervention designed to support parents in improving the movement behaviors (ie, physical activity, sedentary behavior, and sleep) of their children aged 2 years via a purpose-built app [17].
JMIR Mhealth Uhealth 2025;13:e60478
Download Citation: END BibTex RIS
Sleep is a modifiable behavior and is highly intervenable [35]. Problematic sleep conditions, such as insomnia and obstructive sleep apnea, increase with age among older adults [36]. A meta-analysis [37] suggested that the proportion of individuals with sleep disorders in older adults was 30.5%, indicating that more attention should be paid to the sleep health of this group.
J Med Internet Res 2025;27:e75938
Download Citation: END BibTex RIS
Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis
The measures and domains assessed in the app include (1) social support, using 3 items from the Schuster Social Support Scale [24]; (2) personal functioning, using 3 items about educational and employment engagement and achievement [25]; (3) psychological distress, using the K6 (Kessler-6) scale for psychological distress [26]; (4) sleep, using 4 sleep items, including feeling refreshed after sleep, trouble falling asleep, and subjective energy [27]; (5) physical activity, 4 items from the International Physical
J Med Internet Res 2025;27:e71305
Download Citation: END BibTex RIS
These can include vasomotor symptoms (VMS) such as hot flashes (sudden, temporary onset of warmth in the body, flushing, and sweating) and night sweats (episodes of excessive sweating that happen during sleep), as well as depression, anxiety, and sleep disturbances [3]. In the United States, approximately 6000 women transition into menopause each day, many of whom face these challenges for years before and after menopause [4].
JMIR Mhealth Uhealth 2025;13:e58204
Download Citation: END BibTex RIS
Therefore, CWs can track vital parameters and behaviors, such as heart rate, physical activity (PA), or sleep [1].
The usage of CWs in the population has increased enormously within the last decade. In 2022, around 500 million of these devices were sold worldwide, which means that the sales increased by the factor 16 compared with 2014 [2]. In Germany, 7.2 million CWs were sold in 2022 [3].
JMIR Mhealth Uhealth 2025;13:e59199
Download Citation: END BibTex RIS
Data were collected on daily activity (number of steps) and sleep.
Fitbit data were obtained via the Fitbit API, which provides preprocessed JSON files reflecting proprietary algorithms for step counting and sleep [50]. For sleep, each participant had one JSON file that spanned the duration of the study, which included a sleep log with timestamps for sleep onset and offset and a breakdown of sleep stages (eg, light, rapid eye movement [REM], deep).
JMIR Form Res 2025;9:e66187
Download Citation: END BibTex RIS
Poor sleep quality is another common observance among postsecondary students [16], with conditions such as delayed sleep phase syndrome being 50% more prevalent among postsecondary students compared to the general population [17]. A distinctive combination of social, work, and academic pressures renders this population particularly susceptible to poor sleep quality [18,19].
JMIR Form Res 2025;9:e66131
Download Citation: END BibTex RIS
Calls and screen use were event-based sensor streams, whereas location, heart rate, sleep, and steps were time series sensor streams. We sampled location coordinates at 1 sample per 10 minutes and heart rate, sleep, and steps at 1 sample per minute.
Throughout the study duration, the mobile app alerted and directed participants 3 times a day to complete a brief EMA survey within the app.
J Med Internet Res 2025;27:e70871
Download Citation: END BibTex RIS
Sleep disturbances such as insomnia, fragmented sleep, daytime sleepiness, and sleep-disordered breathing are common features of Alzheimer disease (AD) and Lewy body disease (LBD) and often appear early in the disease course and before clinical diagnosis [1,2].
JMIR Aging 2025;8:e72824
Download Citation: END BibTex RIS