Thesis (Ph.D.)--University of Wyoming, 2008. / Title from PDF title page (viewed on August 7, 2009). Includes bibliographical references (p. 47-50).

Thesis (Ph. D.)--University of Missouri-Columbia, 1996. / Typescript. Vita. Includes bibliographical references (leaves 81-87). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 1996. / Typescript. Vita. Includes bibliographical references (leaves 81-87). Also available on the Internet.

Thesis (D.P.E.)--Springfield College, 2005. / Includes bibliographical references. Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

Thesis (M.S.)--University of North Dakota, 2005. / Includes bibliographical references (leaves 109-112). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

Thesis (M.S.)--West Virginia University, 2006. / Title from document title page. Document formatted into pages; contains viii, 96 p. : ill. (some col.). Includes abstract. Includes bibliographical references.

Thesis (M.S.)--University of North Dakota, 2005. / Includes bibliographical references (leaves 109-112)

Thesis (D.P.E.)--Springfield College, 2005. / Includes bibliographical references.

Thesis (M.A.(Psychology))--University of Pretoria, 2000. / Summary in English and Afrikaans. Includes bibliographical references.

Sleep quality is an aspect of sleep on which there is currently a lack of research and, in particular, there is little published data related to the quality of sleep obtained by athletes. Sleep quality is difficult to define because it includes quantitative aspects of sleep such as sleep duration, sleep latency and number of arousals as well as the subjective aspects such as ‘depth’ and ‘restfulness’ of sleep. Athletes require more sleep than the non-athlete population in order to recover from their exertions and, although evidence suggests that athletes are concerned about the impact that inadequate sleep has upon performance, there is a paucity of literature examining how poor sleep patterns affect the athletes’ psychological states during training and competition. Due to the scarcity of literature examining how the quality of sleep affects the psychological states of athletes, very little research has focused on athletes’ sleep and mood within the South African (SA) context. A quantitative research method with a combination of an exploratory and descriptive approach was employed. The sample of this study comprised of 87 athletes. The researcher made use of a purposive, non-randomized sampling technique. A self-report biographical questionnaire, the Profile of Mood States 2 – Adults (POMS 2), the State-Trait Anxiety Inventory-Adults (STAI-A) and the Pittsburgh Sleep Quality Index (PSQI) was administered once a week on the same day for the duration of 4 weeks. Descriptive and inferential statistics, Pearson R correlation and One-sample t-test were used to analyse the data. The researcher obtained the necessary authorisation to conduct the study and followed the ethical rules of conduct. Results indicated that there were certain relationships between the quality of sleep and mood states among athletes such as fatigue-inertia, anxiety (state and trait), depression-dejection, anger-hostility, vigour-activity and confusion-bewilderment. There was sufficient evidence to conclude that there was a significant between-week (week 1 and 2, 2 and 3, 3 and 4) difference in fatigue-inertia and sleep quality. Apart from differences in fatigue-inertia and sleep quality scores over the four weeks, all other results indicate a constant outcome over the four weeks for mood states and sleep quality. The results also indicated sufficient evidence to conclude that although there was evidence of a relationship between quality of sleep and mood states, it was not possible to make a definitive conclusion regarding whether sleep quality, anxiety, and depression were bi-directionally related. Despite some of the limitations to the study, the findings were thought to contribute in a valuable way to furthering knowledge regarding the quality of sleep and mood states among athletes. The current data suggest that monitoring athletes’ sleep and mood states may be a determining factor for satisfactory performance; therefore, the reasons for poor sleep quality should be identified in order to implement any coping strategies needed.