To develop and validate the Insomnia in Response to Sports-related Stress Test (IRSST) questionnaire, a new specific instrument with the goal of sensitively measuring vulnerability to sport-specific stressful situations among elite athletes. Five hundred and thirty-one competitive elite athletes (mean age = 17.6 ± 4.4 years) completed the Ford Insomnia Response to Stress Test (FIRST) questionnaire and the IRSST, a six-item questionnaire developed to assess the level of sleep disturbance in response to the commonly experienced sport-specific stressful situations. A development and validation process including substantive, structural, and external stages was used in the present study. One eigenvalue of the exploratory factor analyses was greater than 1.0 (i.e., 2.91, 48.52% of explained variance) whereas the scree test provided evidence for a one-factor solution, with all the six items achieving a loading of 0.40 or higher on the factor. Cronbach alpha was 0.77 and provided evidence for the reliability of the IRSST score. The correlation between IRSST and FIRST scores was 0.47 (p < 0.001, moderate effect size). These results provide strong evidence for construct validity, indicating that the IRSST is a promising scale for assessing the likelihood of sleep disruption due to sports-related stressful situations. The results of reliability and correlational analyses provided further evidence of the promising psychometric properties of the IRSST. We believe that the IRSST could provide to the sport and sleep science communities a sleep screening tool for use in this unique population.
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http://dx.doi.org/10.1002/ejsc.12095 | DOI Listing |
J Tradit Complement Med
January 2025
Department of Chinese Medicine, China Medical University Hospital, Taichung City, 40447, Taiwan.
Cogn Neurodyn
December 2025
The Medical Big Data Research Center, Northwest University, Xi'an, 710127 China.
Insomnia, as a common sleep disorder, is the most common complaints in medical practice affecting a large proportion of the population on a situational, recurrent or chronic basis. It has been demonstrated that, during wakefulness, patients with insomnia exhibit increased EEG power in theta, beta, and gamma band. However, the relevant mechanisms underlying such power changes are still lack of understanding.
View Article and Find Full Text PDFCancer Invest
January 2025
Department of Internal Medicine C, University Hospital Greifswald, Greifswald, Germany.
Objective: The ExPRO (External factors influencing patient reported outcomes of patients with malignant diseases) study explored associations between QoL data and environmental factors on the day of questionnaire completion: mean temperature, sunshine hours, season, and lunar phase.
Methods: We undertook a cross-sectional analysis of baseline data in the prospective cohort study at two cancer centers in eastern Germany. From December 2020 to December 2021, cancer patients completed the EORTC QLQ-C30 questionnaire upon admission.
Nutrients
December 2024
Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-0037, Japan.
Background/objectives: Insomnia is a significant public health problem affecting a large population. Although previous research has explored the relationship between specific nutrients and insomnia, comprehensive analyses of daily eating patterns of macro- and micronutrients remain limited. Since nocturnal hypertension is related to sodium/potassium intake and sleep disturbances, the present cross-sectional study hypothesized that daily eating patterns of potassium and sodium would be associated with Athens Insomnia Scale (AIS) scores.
View Article and Find Full Text PDFJ Am Coll Health
January 2025
Department of Psychology, University of St. Thomas, St. Paul, Minnesota, USA.
Objective: To determine the direct and indirect effects of sexual assault on sleep health in varsity athletes.
Participants: Varsity athletes ( = 2,910) who completed the Fall 2019 or 2020 administrations of the American College Health Association's National College Health Assessment III.
Methods: We combined exploratory factor analysis and structural equation modeling to evaluate relationships between four predictor variables: and and two response variables: and
Results: Overall, 9.
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