Predicting Youth Athlete Sleep Quality and the Development of a Translational Tool to Inform Practitioner Decision Making.

ABSTRACT:

Background

Identifying key variables that predict sleep quality in youth athletes allows practitioners to monitor the most parsimonious set of variables that can improve athlete buy-in and compliance for athlete self-report measurement. Translating these findings into a decision-making tool could facilitate practitioner willingness to monitor sleep in athletes.

Hypothesis

Key predictor variables, identified by feature reduction techniques, will lead to higher predictive accuracy in determining youth athletes with poor sleep quality.

Study design

Cross-sectional study.

Level of evidence

Level 3.

Methods

A group (N = 115) of elite youth athletes completed questionnaires consisting of the Pittsburgh Sleep Quality Index and questions on sport participation,

SUBMITTER: Suppiah HT 

PROVIDER: S-EPMC8669926 | biostudies-literature | 2022 Jan-Feb

REPOSITORIES: biostudies-literature