scholarly journals Assessment of sleep health in collegiate athletes using the Athlete Sleep Screening Questionnaire

2020 ◽  
Vol 16 (8) ◽  
pp. 1349-1356
Author(s):  
Jacob M. Rabin ◽  
Reena Mehra ◽  
Emily Chen ◽  
Roozbeh Ahmadi ◽  
Yuxuan Jin ◽  
...  
Keyword(s):  
Collegiate Athletes ◽  
Sleep Health ◽  
Screening Questionnaire ◽  
Sleep Screening

The Athlete Sleep Screening Questionnaire: a new tool for assessing and managing sleep in elite athletes

2015 ◽  
Vol 50 (7) ◽  
pp. 418-422 ◽  
Author(s):  
Charles Samuels ◽  
Lois James ◽  
Doug Lawson ◽  
Willem Meeuwisse
Keyword(s):  
Elite Athletes ◽  
Screening Questionnaire ◽  
Sleep Screening

scholarly journals Validation francophone des questionnaires de sommeil auprès des étudiants-athlètes du Québec

2019 ◽  
Vol 9 (2) ◽  
pp. 25-26
Author(s):  
Amandine Gagnon-Hébert ◽  
Mikael Verrault ◽  
Adèle Jobin-Théberge ◽  
Jonathan Charest ◽  
Célyne Bastien
Keyword(s):  
Sleep Behavior ◽  
Screening Questionnaire ◽  
Sleep Screening

La création de l’Athlete Sleep Screening Questionnaire (ASSQ) et de l’Athlete Sleep Behavior Questionnaire (ASBQ) a répondu au besoin d’outils fiables et valides pour l’évaluation subjective du sommeil auprès des athlètes. Cependant, seule la version anglophone de l’ASSQ et de l’ASBQ a été validée. Cette étude a donc pour but de valider la version francophone de ces deux questionnaires afin de les rendre accessibles aux athlètes francophones du Québec. Deux cent trois étudiants-athlètes du Québec (18-30 ans) ont participé à l’étude impliquant de remplir deux séries de questionnaires et un agenda de sommeil dans un intervalle de sept jours.  Les résultats indiquent une stabilité temporelle (r = .73) acceptable et une cohérence interne faible (α = .56-.62) pour l’ASSQ. Le score de difficulté de sommeil (SDS) de l’ASSQ au temps 1 se caractérise par une sensibilité de 85% et une spécificité de 88% comparativement à 67% et 92% au temps 2. Quant à l’ASBQ, il se caractérise par une stabilité temporelle (r =.73) et une cohérence interne (α = .68-.72) acceptable. L’ASBQ et l’ASSQ ont des propriétés psychométriques acceptables dans un contexte non-clinique et de dépistage. Une retraduction de certains items améliorerait les propriétés psychométriques de ces deux outils francophones.

scholarly journals Application accuracy of the sleep decision tree to standardized patient cases by physiotherapists: an observational study

2020 ◽  
Author(s):  
Catherine F. Siengsukon ◽  
Jianghua He ◽  
Kenneth Miller ◽  
Dianne Jewell
Keyword(s):  
Clinical Practice ◽  
Decision Tree ◽  
Sleep Disturbances ◽  
Physical Therapists ◽  
Ease Of Use ◽  
Complex Case ◽  
Standardized Patient ◽  
Linear Regression Models ◽  
Sleep Health ◽  
Sleep Screening

AbstractBackgroundPhysiotherapists assess lifestyle factors, including sleep health, that contribute to poor health outcomes. Recommendations of sleep screening assessments have been provided; however, physical therapists’ ability to successfully identify which patients would benefit from additional consultation has not been established.ObjectiveTo determine if physiotherapists can accurately apply an evidence-based sleep decision tree to four hypothetical standardized patient cases.MethodsParticipants applied the sleep decision tree to the four standardized cases via an online platform. Likert scales were used to assess perception of ease of use, likelihood of use, and how helpful they thought the sleep decision tree would be. Descriptive analyses and multiple linear regression models were conducted.ResultsEighty-eight individuals participated in the study. Eighty-one respondents (92%) correctly answered the least complex case while 12 (14%) correctly answered the most complex case. Seventy-four (84%) respondents indicated the sleep decision tree was easy to use, 57 (65%) answered they were likely to use the sleep decision tree in clinical practice, and 66 (75%) said the sleep decision tree would be helpful to their clients.ConclusionsPhysiotherapists were able to accurately apply a sleep decision tree to simpler patient cases but were frequently unable to apply it to more complex patient cases. This may be due to lack of education, perceived ease of using, and relevance of the sleep decision tree to their clinical practice. The sleep decision tree may aid physiotherapists in assessing sleep health, screening for sleep disturbances, and referring for further assessment.

Prevalence of Disordered Eating Behaviors Among Male Collegiate Athletes

2008 ◽  
Author(s):  
Trent A. Petrie ◽  
Christy Greenleaf ◽  
Justine Reel ◽  
Jennifer E. Carter
Keyword(s):  
Disordered Eating ◽  
Eating Behaviors ◽  
Collegiate Athletes ◽  
Disordered Eating Behaviors
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