<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Mitchell JA</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>Determine the optimal combination of digital health intervention component settings that increase average sleep duration by ≥30 minutes per weeknight.&lt;h4>Methods&lt;/h4>Optimization trial using a 2&lt;sup>5&lt;/sup> factorial design. The trial included 2 week run-in, 7 week intervention, and 2 week follow-up periods. Typically developing children aged 9-12y, with weeknight sleep duration &lt;8.5 hours were enrolled (N=97). All received sleep monitoring and performance feedback. The five candidate intervention components (&lt;i>with their settings to which participants were randomized&lt;/i>) were: 1) sleep goal (&lt;i>guideline-based or personalized&lt;/i>); 2) screen time reduction messaging (&lt;i>inactive or active&lt;/i>); 3) daily routine establishing messaging (&lt;i>inactive or active&lt;/i>); 4) chi</pubmed_abstract><journal>medRxiv : the preprint server for health sciences</journal><pagination>2023.01.04.23284151</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9882437</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Promoting Sleep Duration in the Pediatric Setting Using a Mobile Health Platform: A Randomized Optimization Trial.</pubmed_title><pmcid>PMC9882437</pmcid><pubmed_authors>Williamson AA</pubmed_authors><pubmed_authors>Morales KH</pubmed_authors><pubmed_authors>Fiks AG</pubmed_authors><pubmed_authors>Jawahar A</pubmed_authors><pubmed_authors>Zemel BS</pubmed_authors><pubmed_authors>Mitchell JA</pubmed_authors><pubmed_authors>Juste L</pubmed_authors><pubmed_authors>Vajravelu ME</pubmed_authors><pubmed_authors>Dinges DF</pubmed_authors></additional><is_claimable>false</is_claimable><name>Promoting Sleep Duration in the Pediatric Setting Using a Mobile Health Platform: A Randomized Optimization Trial.</name><description>&lt;h4>Objective&lt;/h4>Determine the optimal combination of digital health intervention component settings that increase average sleep duration by ≥30 minutes per weeknight.&lt;h4>Methods&lt;/h4>Optimization trial using a 2&lt;sup>5&lt;/sup> factorial design. The trial included 2 week run-in, 7 week intervention, and 2 week follow-up periods. Typically developing children aged 9-12y, with weeknight sleep duration &lt;8.5 hours were enrolled (N=97). All received sleep monitoring and performance feedback. The five candidate intervention components (&lt;i>with their settings to which participants were randomized&lt;/i>) were: 1) sleep goal (&lt;i>guideline-based or personalized&lt;/i>); 2) screen time reduction messaging (&lt;i>inactive or active&lt;/i>); 3) daily routine establishing messaging (&lt;i>inactive or active&lt;/i>); 4) chi</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-04-08T12:42:45.686Z</modification><creation>2025-04-05T19:41:01.055Z</creation></dates><accession>S-EPMC9882437</accession><cross_references><pubmed>36711634</pubmed><doi>10.1101/2023.01.04.23284151</doi></cross_references></HashMap>