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Although this evidence suggests a potentially protective effect of reducing evening screen use, evidence on whether presleep screen restrictions moderate the longitudinal relationship between adolescents’ screen time and sleep health is largely missing.
Both screen use and sleep health vary by age and sex and therefore are important to consider when interpreting associations among adolescents’ screen time and sleep health.
J Med Internet Res 2026;28:e78972
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This study builds on the Digital Delivery of Behavioural Activation Therapy to Overcome Depression and Facilitate Social and Economic Transitions of Adolescents in South Africa (Do BAt) pilot trial, which evaluated the feasibility, acceptability, and initial efficacy of digitally delivered behavioral activation (BA) therapy among adolescents with depression in rural South Africa [17].
J Med Internet Res 2025;27:e73535
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This change underscores the importance of energy levels as a critical component in understanding mood disorders, particularly in BD, where the presence of increased energy is essential for diagnosing manic episodes [11]
This study aimed to improve diagnostic precision in BD and ADHD by examining associations between self-reported mood and energy states (via the MET) and extreme actigraphy-derived activity metrics in adolescents hospitalized for mood and behavioral disorders.
JMIR Ment Health 2025;12:e78163
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National data indicate that 14.8% of adolescents in China face depression risk, with 40% frequently experiencing loneliness [5,6]. This psychological vulnerability coexists with a near-saturated digital environment, characterized by 96.8% internet penetration among minors [7]. Within this context, a pronounced reliance on digital technology is evident, as over one-third of adolescents exhibit psychological dependence on smartphones.
J Med Internet Res 2025;27:e81741
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In a representative North American study, 84% of 1156 adolescents between the ages of 13 and 18 years searched for health-related information on the internet [33]. At the same time, health-related internet searches are particularly prevalent from the age of 15 years, and prevalence rates appear to increase with age [34,35]. Only recently, a few studies showed a positive correlation between cyberchondria and health worries in adolescents [36,37].
J Med Internet Res 2025;27:e65792
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Participants of semistructured interviews with 17 adolescents (11 women, 6 men) aged 14 years through 18 years with different engagement levels during the leduin program.
a N/A: not applicable.
Interviews were guided by a semistructured protocol designed according to the recommendations for qualitative research with adolescents, allowing for both flexibility and structured inquiry [78,79].
JMIR Form Res 2025;9:e78774
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Targeted prevention efforts are recommended for high-risk populations such as children and adolescents [4].
The proliferation of the internet has made mobile phones indispensable in modern life, but this digital transformation also brings unique mental health challenges for adolescents.
J Med Internet Res 2025;27:e80410
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While the use of short recalls via the Traqq app has shown promise in adults, its application for adolescents still needs to be investigated.
In addition to evaluating the use of short recalls via the Traqq app, the app itself also needs to be evaluated among adolescents. The app’s simple and clear design, effective for adults, may not appeal as much to adolescents.
JMIR Res Protoc 2025;14:e70194
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To date, there seems to be limited research on the impact of this trend on adolescents, which is surprising given that the teenage years are highly relevant for the development of body image perception and health behavior. This makes adolescents highly vulnerable to potential negative influences. Besides, most of the published study results describe changes in body image or body dissatisfaction in relation to #fitspiration use only [22,25-27].
JMIR Form Res 2025;9:e70964
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Adolescents’ beliefs about the helpfulness of advice or interventions can significantly affect their likelihood of seeking support; for example, they may avoid seeking help if they have doubts about its effectiveness [68]. An empirical study of a web-based mental health community intervention also found that the quality and effectiveness of responses influenced young people’s behavior in creating posts to seek help online [69].
JMIR Hum Factors 2025;12:e71549
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