Sleep Action Manifesto Update!

We’ve more than quadrupled the signatories for our campaign to get sleep into the core curriculum. This is fantastic - but we’re just getting started and we need your help to keep the momentum going. 

➡️Read on to help us...

#SleepInSchools #sleepeducation

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Making Sleep a Core Part of Scotland’s Curriculum | Sleep Action By including sleep in the curriculum, we take a powerful step towards ensuring every child and young person can reach their full potential.

Read our manifesto and sign the petition today buff.ly/vgF7qeT

#SleepInSchools #AdvocateForSleep #SleepAction #CurriculumForExcellence #SleepEducation

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Sign the Petition Make Sleep a Core Part of Scotland’s Curriculum – bring sleep into the classroom!

📝 Sign the petition: buff.ly/G1wCJCI

#SleepInSchools #AdvocateForSleep #sleepaction #curriculumforexcellence #sleepeducation

Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study Background: Inadequate sleep is prevalent among athletes, affecting adaption to training and performance. While education on factors influencing sleep can improve sleep behaviors, Large Language Models (LLMs) may offer a scalable approach to provide sleep education to athletes. Objective: This study aims to i) investigate the quality of sleep recommendations generated by publicly available LLMs, as evaluated by experienced raters, and ii) determine whether recommendations quality varies with information input granularity. Methods: Two prompts with differing information input granularity (low and high) were created for two use cases and inserted into ChatGPT-4o (GPT-4o) and Google Gemini, resulting in n=8 different recommendations. Experienced raters (n=13) evaluated the recommendations on a 1-5 Likert-scale, based on n=10 sleep criteria derived from recent literature. A Friedman Test with Bonferroni Correction was performed to test for significant differences in all rated items between the training plans. Significance level was set to p3 (tendency towards good), n=3 ratings equal 3 (neutral), n=2 ratings

JMIR Formative Res: Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study #AthleteWellness #SleepEducation #Performance #SleepRecovery #LLM

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