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Published on: November 21, 2013
Subtyping at-risk adolescents for predicting response toward insomnia prevention program
Si-Jing Chen1, Shirley Xin Li2,3, Jihui Zhang1,4,5
1Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SAR, China.
A cognitive-behavioral insomnia prevention program significantly reduced insomnia risk in at-risk adolescents, particularly those with depression and anxiety. Personalized prevention strategies are needed based on psychological profiles.
Area of Science:
- Adolescent Sleep Medicine
- Clinical Psychology
- Preventive Psychiatry
Background:
- Previous research indicates a brief cognitive-behavioral insomnia prevention program can reduce insomnia risk by 71% in at-risk adolescents.
- This study investigates differential responses to insomnia prevention within specific subgroups of at-risk adolescents.
Purpose of the Study:
- To evaluate the effectiveness of an insomnia prevention program across different subgroups of at-risk adolescents.
- To identify distinct psychological profiles among adolescents at risk for insomnia.
Main Methods:
- Latent class analysis (LCA) identified three adolescent subgroups based on baseline sleep, daytime, and mood profiles.
- Adolescents were randomized to a 4-week insomnia prevention program or a control group.
- Assessments occurred at baseline, 1 week, and 6/12 months post-intervention, using an intention-to-treat approach.
Main Results:
- LCA identified subgroups: (a) insomnia symptoms only, (b) symptoms with daytime sleepiness/mild anxiety, (c) symptoms with daytime sleepiness/mild anxiety/depression.
- Insomnia disorder incidence was significantly reduced in subgroup 3 (HR=0.37) and marginally in subgroup 2 (HR=0.14) compared to controls.
- Intervention reduced excessive daytime sleepiness and anxiety in subgroups 2 and 3.
Conclusions:
- At-risk adolescents can be categorized into subgroups based on psychological profiles, influencing their response to insomnia prevention.
- Findings highlight the necessity for personalized insomnia prevention through further phenotyping and subgrouping of at-risk adolescents.
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