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AI-based mobile apps for supporting adolescents’ mental health in schools

Artificial intelligence-informed mobile behavioural interventions to support adolescents’ mental health in schools

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN11686798
Enrollment
842
Registered
2025-10-06
Start date
2025-10-15
Completion date
Unknown
Last updated
2025-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Primary and secondary prevention of mental disorders in children and young people. Mental and Behavioural Disorders

Interventions

The study is a 3-arm RCT. Participants are individually randomised into one of three arms: 1. Active experimental: Receipt of personalised AI nudges + self-monitoring 2. Active control: Generic recomm

Sponsors

Imperial College London
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 19 Years

Inclusion criteria

Inclusion criteria: 1. Young people in School Years 10 to 13 (aged 14–19 years) attending any school in the United Kingdom that has been approached. 2. Sufficient English to allow completion of experimental measures and use of the app. 3. Access to an iOS or Android-compatible smartphone with an embedded activity monitor. 4. Have the capacity to consent (if over 16 years old). 5. Have the capacity to assent and seek consent from parents/guardians (if under 16 years old).

Exclusion criteria

Exclusion criteria: 1. Severe learning difficulties 2. Organic brain disease 3. Severe neurological impairment that prevents independent use of smartphone app

Design outcomes

Primary

MeasureTime frame
Total difficulties score measured using the Strengths and Difficulties Questionnaire (SDQ) at baseline and 4 weeks.

Secondary

MeasureTime frame
1. Externalising score measured using the SDQ at baseline and 4 weeks. 2. Internalising score measured using the SDQ at baseline and 4 weeks. 3. Emotional symptoms score measured using the SDQ at baseline and 4 weeks. 4. Conduct problems score measured using the SDQ at baseline and 4 weeks. 5. Hyperactivity/inattention score measured using the SDQ at baseline and 4 weeks. 6. Peer relationship problems measured using the SDQ at baseline and 4 weeks. 7. Prosocial behaviour score measured using the SDQ at baseline and 4 weeks. 8. Eating Disorder Diagnostic Scale (EDDS) scores measured using the EDDS at baseline and 4 weeks. 9. Total score measured using the Sleep Condition Indicator Questionnaire (SCI) at baseline and 4 weeks. 10. Non-suicidal self-injury score measured using the Self-Injurious Thoughts and Behaviours Interview (SITBI, NSSI section) at baseline and 4 weeks. 11. Well-being total score measured using the World Health Organisation-Five Well-Being Index (WHO-5) at baseline and 4 weeks. 12. Total self-efficacy score measured using the Self-Efficacy Questionnaire for Children (SEQ-C) at baseline and 4 weeks. 13. Academic self-efficacy score measured using the Academic Self-Efficacy scale of the SEQ-C at baseline and 4 weeks. 14. Social self-efficacy score measured using the Social Self-Efficacy scale of the SEQ-C at baseline and 4 weeks. 15. Emotional self-efficacy score measured using the Emotional Self-Efficacy scale of the SEQ-C at baseline and 4 weeks. 16. App engagement (active tracker completion, passive tracker enablement, usage frequency, and nudges completed) measured using in-app analytics from baseline through week 4. 17. Self-reported well-being (mood, sleep quality, motivation, anxiety, loneliness, and appetite) measured using app active tracker Likert scales (1–7) from baseline through week 4. 18. Sleep quantity and exercise duration measured as average hours of sleep and minutes of exercise reported per day on app from base

Countries

England, United Kingdom

Contacts

Public ContactAglaia Freccero
aglaia.freccero21@imperial.ac.uk+44 7551893250

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026