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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
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Reference 39: Do e-health interventions improve physical activity in young people: a systematic review
J Med Internet Res 2025;27:e63030
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One study estimated that 22% of young adults, aged 18-34 years, are diagnosed with MCC [5]. Moreover, research suggests that more contemporary generations of adults have a greater MCC burden and are diagnosed with MCC at earlier ages than previous generations [6].
JMIR Form Res 2025;9:e69138
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Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review
What are the characteristics of DMHIs offered to young people and to what degree are young people receiving human support in combination with digital support?
Who are the main target populations of DMHIs for young people?
What are the retention rates across studies involving DMHIs with young people?
A review protocol for this study has been registered with Open Science Framework (OSF) [42]. The search process was guided by the main stages outlined in the Arksey and O’Malley framework [43].
J Med Internet Res 2025;27:e72892
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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients
JMIR Form Res 2025;9:e68782
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Profile accuracy: H=high, M=medium, L=low. AUC: area under the curve; M: mixed; N: negative; P: positive; TPR: true-positive rate; TNR: true-negative rate.
The above summary (Figure 2) presents results for all pilot study patients to show performance and overall results. However, the individual prognostic patient profile as used in IMPT clinical assessment provides clearly presented summary results for each patient.
JMIR Rehabil Assist Technol 2025;12:e65890
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