A questionnaire based study of subjective sleep quality: The psychometric evaluation of the Hungarian version of the Groningen Sleep Quality Scale

Simor, Péter; Köteles, Ferenc; Bódizs, Róbert; Bárdos, György

doi:10.1556/mental.10.2009.3.5

Cited by 35 publications

(31 citation statements)

References 16 publications

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“…However, according to a stricter cut-off score of 6 suggested by Soldatos, Dikeos & Paparrigopoulos 54 , up to 23% of the participants would have complaints comparable to those of insomniac patients. The mean of the GSQS score was lower than the mean score reported for a Hungarian sample of young adults (M = 4.70, SD = 1.78) in Simor et al 35 . The mean of the Sleep diary score in Study 2 was comparable to the mean PSQI score of 1.3 for the same components for the control participants and lower than the score of 6.36 for the participants with sleep disorders in Buysse et al 14 .…”

Section: Resultscontrasting

confidence: 75%

“…To capture the general sleep quality of the last month, we administered the Pittsburgh Sleep Quality Index (PSQI) 14,32 and the Athens Insomnia Scale (AIS) 15,33 . Additionally, in Study 2, we administered a Sleep diary 34 to assess the sleep quality of the last one-two weeks, and the Groningen Sleep Quality Scale (GSQS) 35,36 to capture the sleep quality of the night prior testing.…”

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confidence: 99%

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The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies

Zavecz

Nagy

Galkó

et al. 2020

Sci Rep

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the role of subjective sleep quality in cognitive performance has gained increasing attention in recent decades. In this paper, our aim was to test the relationship between subjective sleep quality and a wide range of cognitive functions in a healthy young adult sample combined across three studies. Sleep quality was assessed by the Pittsburgh Sleep Quality Index, the Athens Insomnia Scale, and a sleep diary to capture general subjective sleep quality, and the Groningen Sleep Quality Scale to capture prior night's sleep quality. Within cognitive functions, we tested working memory, executive functions, and several sub-processes of procedural learning. To provide more reliable results, we included robust frequentist as well as Bayesian statistical analyses. Unequivocally across all analyses, we showed that there is no association between subjective sleep quality and cognitive performance in the domains of working memory, executive functions and procedural learning in healthy young adults. Our paper can contribute to a deeper understanding of subjective sleep quality and its measures, and we discuss various factors that may affect whether associations can be observed between subjective sleep quality and cognitive performance.

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Section: Resultscontrasting

confidence: 75%

mentioning

confidence: 99%

The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies

Zavecz

Nagy

Galkó

et al. 2020

Sci Rep

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“…The 14‐item questionnaire assesses last nights’ sleep quality with true/false items (e.g., I feel like I slept poorly last night and I got up in the middle of the night;), and higher total scores indicate poorer subjective sleep quality. In previous studies, the GSQS‐H proved to be a suitable instrument to quantify subjective sleep quality in both healthy individuals and patients with sleep complaints , and in the present study, it showed good internal consistency (Cronbach's alpha = 0.84). In addition to the GSQS‐H, participants were asked to respond to single items regarding their bedtimes, sleep latency (in minutes), and wake up times.…”

Section: Methodssupporting

confidence: 66%

Poor sleep quality predicts psychotic‐like symptoms: an experience sampling study in young adults with schizotypal traits

Simor

Bathori

Nagy

et al. 2019

Acta Psychiatr Scand

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Simor P, B athori N, Nagy T, Polner B. Poor sleep quality predicts psychotic-like symptoms: an experience sampling study in young adults with schizotypal traits Objective: Psychotic-like experiences (PLEs) are unusual experiences such as perceptual abnormalities and delusional-like thoughts that resemble the symptoms of psychosis at the sub-clinical level. PLEs are associated with sleep complaints in healthy and clinical samples; however, evidence for day-to-day associations between poor sleep and subsequent PLEs under naturalistic conditions is scarce. We hypothesized that poor sleep quality would predict next days' PLEs, and vice versa, daytime PLEs would be associated with worse subsequent sleep quality. Method: Seventy-three university students with moderate to high levels of positive schizotypy participated in an experience sampling study. Participants rated their sleep each morning, as well as PLEs and affective states during the day over 3 weeks. Results: Multilevel regression models indicated that poor sleep quality predicted increased PLEs the following day. Poor sleep was linked to negative daytime mood that partially mediated the associations between sleep quality and next days' PLEs. Furthermore, PLEs were enhanced in the evening as compared to daytime reports. The prediction of poor sleep quality by previous days' PLEs was negligible. Conclusions: The results are consistent with the position that sleeprelated interventions might reduce the risk of psychosis, especially in individuals that tend to experience psychotic-like phenomena and negative affect.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Significant Outcomes• Poor subjective sleep quality and short sleep predicted next days' psychotic-like experiences.• More psychotic-like experiences during the day predicted lower sleep quality the following night to some extent, but explained only a negligible portion of the variance.• The temporal associations between sleep quality and psychotic-like experiences were partially mediated by negative mood. Limitations• Sleep quality was measured by self-report questionnaires.• Lack of objective measures (e.g., actigraphy) of sleep quality. • High ratio of female participants.

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“…Sleep schedules were monitored by sleep agendas, as well as by the adapted version of the Groningen Sleep Quality Scale (Simor et al, 2009) in order to assess individuals' sleep quality the night before the experiment. The data of participants reporting poor sleep quality the night before the experiment (> 7 points) were not considered in the analyses.…”

Section: Participantsmentioning

confidence: 99%

Deconstructing Procedural Memory: Different Learning Trajectories and Consolidation of Sequence and Statistical Learning

Simor

Zavecz

Horváth

et al. 2017

Preprint

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Procedural learning is a fundamental cognitive function that facilitates efficient processing of and automatic responses to complex environmental stimuli. Here, we examined trainingdependent and off-line changes of two sub-processes of procedural learning: namely, sequence learning and statistical learning. Whereas sequence learning requires the acquisition of order-based relationship between the elements of a sequence, statistical learning is based on the acquisition of probabilistic associations between elements. Seventy-eight healthy young adults (58 females and 20 males) completed the modified version of the Alternating Serial Reaction Time task that was designed to measure Sequence and Statistical Learning simultaneously. After training, participants were randomly assigned to one of three conditions: active wakefulness, quiet rest, or daytime sleep. We examined early off-line changes in Sequence and Statistical Learning as well as further improvements after extended practice. Performance in Sequence Learning increased in a gradual manner during training, while Statistical Learning plateaued relatively rapidly. After the off-line period, both the acquired sequence and statistical knowledge was preserved, irrespective of the vigilance state.Sequence Learning further improved during extended practice, while Statistical Learning did not. Although, on a behavioral level, Sequence and Statistical Learning were similar across groups after the off-line period, cortical oscillations were associated with individual differences in performance changes within the sleep group only. Moreover, sleep spindle parameters showed differential associations with Sequence and Statistical Learning. Our findings can contribute to a deeper understanding of the dynamic changes of multiple parallel learning and consolidation processes that occur during procedural memory formation.

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A questionnaire based study of subjective sleep quality: The psychometric evaluation of the Hungarian version of the Groningen Sleep Quality Scale

Cited by 35 publications

References 16 publications

The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies

The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies

Poor sleep quality predicts psychotic‐like symptoms: an experience sampling study in young adults with schizotypal traits

Deconstructing Procedural Memory: Different Learning Trajectories and Consolidation of Sequence and Statistical Learning

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