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Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

(C) Mean GAD-7 scores at baseline and final score with 95% CIs for the PP sample (n=169) and all control groups. (D) Mean GAD-7 scores at baseline and final score with 95% CIs for the ITT sample (n=299) and all control groups. **P Within-participant change in GAD-7a score from baseline to final score for the digital program sample and propensity-matched control groups. a GAD-7: 7-item Generalized Anxiety Disorder Scale. b CBT: cognitive behavioral therapy.

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies

(C) High screen time could have a direct negative effect on mental health and an additional indirect (mediated) effect by reducing physical activity. Without including physical activity in the model, in this case both the direct and the indirect (mediated by physical activity) effect on mental health would be “attributed” to screen time, and a partial dependence analysis would accordingly show the total effect (direct plus indirect effect) of a reduction in screen time.

Heiner Stuke, Robert Schlack, Michael Erhart, Anne Kaman, Ulrike Ravens-Sieberer, Christopher Irrgang

JMIR Public Health Surveill 2025;11:e60125

Perceptions Toward an Attentional Bias Modification Mobile Game Among Individuals With Low Socioeconomic Status Who Smoke: Qualitative Study

Perceptions Toward an Attentional Bias Modification Mobile Game Among Individuals With Low Socioeconomic Status Who Smoke: Qualitative Study

We calculated the Krippendorff c-α, a measure of separating relevant and irrelevant content whereby coders code texts of similar locations and lengths, and the Krippendorff cu-α, a measure of semantic domain reliability whereby coders code a given text for the presence or absence of a semantic domain [48]. Discrepancies were resolved through discussions between MW, LT, and SEL. Qualitative results were not returned to participants for feedback.

Michael Wakeman, Lydia Tesfaye, Gunnar Baskin, Tim Gregory, Greg Gruse, Erin Leahy, Brandon Kendrick, Sherine El-Toukhy

JMIR Serious Games 2025;13:e59515