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Classifying intervention components used in sleep duration interventions for children: A systematic review and meta-analysis
The Multiphase Optimization Strategy (MOST) is a three-phase iterative framework that could accelerate the development of behavioral interventions. This systematic review and meta-analysis was conducted within the MOST preparation phase and aimed to classify components included in pediatric sleep du...
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Published in: | Sleep medicine reviews 2024-12, Vol.78, p.101995, Article 101995 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | The Multiphase Optimization Strategy (MOST) is a three-phase iterative framework that could accelerate the development of behavioral interventions. This systematic review and meta-analysis was conducted within the MOST preparation phase and aimed to classify components included in pediatric sleep duration interventions, using the Behavior Change Technique (BCT) Taxonomy. Across 37 interventions, 46 out of 93 BCTs have been used, with an average of 8 techniques used per study. The most common BCTs used were instruction on how to perform the behavior (N = 29; code 4.1), practical social support (N = 22; code: 3.2), and behavioral practice/rehearsal (N = 22; code: 8.1). A latent class analysis identified two classes of interventions, distinguished by the presence of BCTs falling within the following behavior change groups: shaping knowledge, natural consequences, comparison of behavior, and repetition and substitution. Our meta-analysis revealed that interventions belonging to the latent class with these behavior change groups (N = 15) had a pooled positive intervention effect of 14 min (95 % CI: 8–21) versus 8 min (95 % CI: 1–15) for interventions without these behavior change groups (N = 19). This systematic review and meta-analysis will enhance the development of sleep promotion interventions and guide the selection of candidate intervention components for future optimization and randomized control trials. |
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ISSN: | 1087-0792 1532-2955 1532-2955 |
DOI: | 10.1016/j.smrv.2024.101995 |