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Skip search results from other journals and go to results- 325 Journal of Medical Internet Research
- 253 JMIR Mental Health
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There is evidence that digital phenotyping data can correlate with, classify, and predict mental health problems including depression and anxiety [10-17].
To our knowledge, no previous studies have linked newly collected smartphone-based digital phenotyping data with existing genetic data in mental health research.
JMIR Form Res 2025;9:e71377
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In the United States, 84.7% of individuals with major depressive disorder (MDD) have reported sleep difficulties associated with higher depression severity scores [1]. Previous studies have demonstrated that poor sleep can significantly affect mental health and daily functioning, linking it to worsened mental health and reduced socio-occupational performance with serious mental illness [2-4].
J Med Internet Res 2025;27:e65772
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Most of the research examining digital phenotyping for the detection of BH problems has focused on detection of depression [10]. The opportunity to engage passive and objective ML technology for better detecting depression presents particular opportunities in light of the fact that depression is undetected in approximately 50% of individuals with the condition in high-income countries, and in 80%‐90% of individuals with depression in low- and middle-income countries [11].
JMIR AI 2025;4:e69149
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Designing Chatbots to Treat Depression in Youth: Qualitative Study
We conducted semistructured interviews to explore participants’ experiences with depression, their adaptive coping strategies, attitudes and expectations toward chatbots for depression, and their design preferences. Finally, the participants interacted with a prototype chatbot using the concurrent think-aloud method.
We conducted a semistructured interview to evaluate participants’ eligibility to participate in the study.
JMIR Hum Factors 2025;12:e66632
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Adolescence is a critical period of marked physical, cognitive, social, and emotional development [1], during which psychological distress (eg, depression and anxiety) becomes increasingly common [2]. However, many adolescents will never access treatments [3,4]. In the United Kingdom, a large-scale school-based survey study found that approximately one-third of adolescents had a perceived unmet need for mental health help [5].
JMIR Ment Health 2025;12:e72077
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The PHQ-8 is an 8-item self-reported questionnaire that measures current depression [44]. It is well validated as a diagnostic measure across clinical studies. Scores for each item range from 0 to 3, and total scores are calculated by summing the 8 items and can range from 0 to 24. Higher scores equate to higher depression. Scores of 10 or greater are considered clinically significant. The PHQ-8 is considered to be a reliable and valid measure for screening depression in the general population [45].
JMIR Mhealth Uhealth 2025;13:e58204
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The review concluded that i BA interventions showed promise to be as effective as traditional face-to-face methods at reducing various forms of depression including subthreshold depression, postpartum depression, and depression with comorbid chronic conditions like diabetes.
J Med Internet Res 2025;27:e68054
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Therefore, based on these conflicting research results, we conducted a meta-analysis to clarify the clinical efficacy of remote web-based interventions on the physiological (pain and fatigue) and psychological (anxiety and depression) states and the quality of life of patients with cancer.
JMIR Mhealth Uhealth 2025;13:e71196
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Adolescent depression is a significant mental health crisis; 14.7% of the adolescent population reports at least one major depressive episode with severe impairment [1]. This trend predates the COVID-19 pandemic [2] and has continued apace [3]. The impact of adolescent depression is severe; a depressive episode leads to immediate debilitating effects plus long-term consequences [4], for example, impaired academic performance [5] and challenges in forming interpersonal relationships [6].
JMIR Form Res 2025;9:e66187
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The mean state depression scores pretreatment were similar in the control and treatment groups (P=.58) and represented moderate severity state depression at baseline in both groups. The mean state anxiety scores at baseline were also similar between the control and treatment groups (P=.11), however, scores represented moderate-severity state anxiety in the control group and severe state anxiety in the treatment group.
JMIR Form Res 2025;9:e66131
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