e.g. mhealth
Search Results (1 to 9 of 9 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 4 JMIR Mental Health
- 2 Journal of Medical Internet Research
- 1 JMIR Biomedical Engineering
- 1 JMIR Formative Research
- 1 JMIR Research Protocols
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 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 Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 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)
Go back to the top of the page Skip and go to footer section
Even by inspecting the behavioral patterns, especially by analyzing the text, it is possible to detect major depressive disorder (MDD) [9]. Studies have proven that identifying posts related to suicide begins with diagnosing depression levels, as suicidal ideation is particularly linked to MDD [10,11]. Numerous studies have shown that individuals with depression are at higher risk of attempting suicide [3].
JMIR Res Protoc 2024;13:e55511
Download Citation: END BibTex RIS
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
The data analyzed in this study were sourced from the Remote Assessment of Disease and Relapse Major Depressive Disorder (RADAR-MDD) research program, which aimed to investigate the utility of remote technologies for monitoring depression and understanding factors that could help predict relapse in MDD [40]. A total of 623 participants were recruited from 3 study sites across 3 European countries (United Kingdom, Spain, and the Netherlands) and followed for up to 2 years [41].
J Med Internet Res 2024;26:e55302
Download Citation: END BibTex RIS
Childhood mental and behavioral disorders, including autism spectrum disorder (ASD), attention-deficit hyperactivity disorder (ADHD), disruptive behavior disorders (DBD), anxiety disorder (AD), and major depressive disorder (MDD), are common neurological disorders and are on the rise in recent decades [1-4]. Affected children and adolescents are subjected to long-term negative health and social consequences [5,6], leading to significant health care costs and public health burden [7,8].
JMIR Ment Health 2024;11:e56812
Download Citation: END BibTex RIS
Major depressive disorder (MDD) is characterized by persistent feelings of sadness, negative mood, or loss of interest in life activities [3]. Detrimental and persistent changes in appetite, sleep, energy, and cognition may accompany these feelings. In addition to its deleterious impacts on mental health, depression is associated with increased morbidity, decreased quality of life, and reduced work productivity [4-6].
JMIR Ment Health 2024;11:e51704
Download Citation: END BibTex RIS
The participants were 153 patients with major depressive disorder (MDD) and 165 healthy controls. All participants were from South Korea. The inclusion criterion was that study participants should be aged ≥19 years. All patients with MDD were evaluated by board-certified psychiatrists according to the Diagnostic and Statistical Manual of Mental Disorder criteria to identify their current mood states.
J Med Internet Res 2023;25:e34474
Download Citation: END BibTex RIS
Accordingly, apps for the mobile phone‒based detection of atrial fibrillation have already been classified as Class IIa under MDD, since atrial fibrillation is generally not an acutely life-threatening condition. If the above does not apply, apps are generally classified as Class I devices (Rule 12 MDD), assuming they are medical devices in the first place.
JMIR Biomed Eng 2017;2(1):e2
Download Citation: END BibTex RIS