Psychometric characteristics of the Center for Epidemiologic Studies Depression Scale-Revised in a population of Polish university students.

The Center for Epidemiologic Studies Depression Scale-Revised (CESD-R) has already been validated on the Polish population. However, the structure of the scale obtained at that time was not confirmed by confirmatory factor analysis (CFA) in subsequent studies on the Polish sample and measurement invariance for gender was not performed. The purpose of this article is to present the results of psychometric analyses to verify the structure of the CESD-R in a university student sample. An online cross-sectional study was conducted with 1519 university students (March/April 2021). The dataset was randomly divided into three subsets to perform principal component analysis (PCA, Subset 1) and CFA for CESD-R versions with different numbers of factors and items (Subsets 2 and 3). Measurement invariance for gender was verified for the whole sample. PCA pointed to a three-factor solution that was analyzed in the subsequent CFA. Due to high correlation coefficients between factors, further steps were taken using only one factor. For CFA, 20-, 18- and 9-item versions of the CESD-R were used, but the 9-item version obtained the best model fit parameters and was used to evaluate the measurement invariance for gender, which was confirmed. The 9-item CESD-R has the best model fit compared to other versions of this scale and is gender invariant. Further research is needed to verify the criterion validity of this shortened scale.

The Effect of Autogenic Training in a Form of Audio Recording on Sleep Quality and Physiological Stress Reactions of University Athletes-Pilot Study.

Despite the growing popularity of relaxation training, the effectiveness of an autogenic training (AT) as a method of dealing with sleep problems in group of student athletes is unknown. Therefore, this study aimed to fill this gap. University athletes with decreased sleep quality (selected from 209 participants) were randomly assigned to the experimental (EG, n = 11) and control (CG, n = 11) groups similar in terms of sleep quality, age, gender, type of sport discipline and sport experience. During the 14 days dedicated to performing relaxation training in the form of an audio recording, electronic daily logs and actigraphy were used to monitor the athletes' sleep and daily activity. The EG listened to the recording with suggestions based on AT and CG only to the background music. Pre- and post-measurements of sleep quality by means of the Pittsburg Sleep Quality Index (PSQI) and physiological stress reactions by biofeedback device were performed. In EG and CG, the parameters of sleep and daily activity obtained by actigraphy and daily logs as well as physiological indicators of emotional reactivity did not differ. Sleep quality in PSQI significantly increased after AT usage in EG. AT seems to be an effective method for university athletes in improving subjective sleep quality, but further studies are necessary.

Sleep quality of student athletes and non-athletes - the role of chronotype, stress and life satisfaction.

OBJECTIVE: There are many internal and external factors that can affect sleep deterioration. The adopted model of the relationship between chronotype, stress, life satisfaction and sleep quality was verified in the study. MATERIAL AND METHODS: In total, 335 healthy university students were surveyed using the Morningness-Eveningness Questionnaire, Perceived Stress Scale, Satisfaction with Life Scale and Pittsburgh Sleep Quality Index. The study included two groups: individuals involved in sport activities (student athletes, n=207) and those who declared (in the short form of the International Physical Activity Questionnaire) low physical activity level (non-athlete students, n=128). RESULTS: Student athletes were less stressed (p<0.001) and declared higher life satisfaction (p<0.001) and sleep quality (p<0.001) compared to non-athletes. Non-athletes tended to identify the evening hours as their best time for functioning (p<0.001), but the mean results of both groups oscillated around the so-called intermediate type. Despite the differences in mean values, the model invariance for both groups was confirmed, which means that the proposed theoretical model applies equally to student athletes and non-athletes. The path analysis results indicate that chronotype has a direct negative influence on sleep quality (preferring morning hours results in higher sleep quality). However, perceived stress partially mediates this relationship (p<0.001). DISCUSSION: Sleep quality should not be considered without taking into account circadian preferences. Effective coping with stress may also be a buffer in reducing sleep problems.