Reliability and Validity of the Pittsburgh Sleep Quality Index-Serbian Translation

Popević, Martin B.; Milovanović, Aleksandar; Milovanović, Srdjan; Nagorni-Obradović, Ljudmila; Nešić, Dejan; Velaga, Marija

doi:10.1177/0163278716678906

Cited by 28 publications

(12 citation statements)

References 30 publications

(55 reference statements)

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“…It could be used as a tool for measuring the interaction of sleep disturbances and levels of anxiety, the intensity of depressive symptomatology, as well as the relationship between sleep quality and other demographic characteristics ( Buysse et al, 1989 ). It is a widely used QoS survey, which is translated and standardized in Serbia ( Mollayeva et al, 2016 ; Popevic et al, 2018 ).…”

Section: Methodsmentioning

confidence: 99%

Quality of sleep and health-related quality of life among health care professionals treating patients with coronavirus disease-19

Stojanov¹,

Malobabić

Stanojević

et al. 2020

Int J Soc Psychiatry

123

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Background: Health care professionals exposed to coronavirus disease 2019 (COVID-19) are facing high levels of stress. Aim: The aim was to evaluate the quality of sleep (QoS) and health-related quality of life (HRQoL), among health care professionals treating patients with COVID-19, as well as quantifying the magnitude of symptoms of depression and levels of anxiety. Methods: We included 201 health care professionals in a cross-sectional, web-based study by applying 7-item Generalized Anxiety Disorder (GAD-7) Scale, Zung Self-rating Depression Scale, 36-item Health Survey of the Medical Outcomes Study Short Form (SF36), Pittsburgh Sleep Quality Index (PSQI) and additional survey constructed for the purpose of the study. Results: Health care workers who treated COVID-19 patients were more afraid of becoming infected or of transmitting the infection to a family member with a significantly low self-assessment of their mental status. Poor QoS and HRQoL correlated with high health anxiety and severe depressive symptoms and several demographic characteristics. Multiple linear regression analysis showed that higher scores on GAD-7 (beta = .71, p < .01) and lower scores on mental health (MH) subscale on SF36 questionnaire (beta = –.69; p < .01) were independent predictors of the higher PSQI score (adjusted R2 = .61, p < .01 for overall model). Higher scores on GAD-7 (beta = .68, p < .01) and worse self-perceived mental status (beta = .25; p < .05) were independent predictors of the lower SF36 scores (adjusted R2 = .73, p < .01 for overall model). Conclusion: The major MH burden of health care professionals treating infected patients during the COVID-19 pandemic indicates that they need psychological support.

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Section: Methodsmentioning

confidence: 99%

Quality of sleep and health-related quality of life among health care professionals treating patients with coronavirus disease-19

Stojanov¹,

Malobabić

Stanojević

et al. 2020

Int J Soc Psychiatry

123

View full text Add to dashboard Cite

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“…It has been the most used QoS questionnaire so far, which was translated and standardized in the Serbian language. [ 15 ]…”

Section: Ethodsmentioning

confidence: 99%

The impact of the Coronavirus Disease-2019 pandemic on the psychological status and quality of life of myasthenia gravis patients

Stojanov

Stojanov²,

Milošević

et al. 2020

Ann Indian Acad Neurol

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Objectives: The coronavirus disease 2019 (COVID-19) is the largest pandemic of our times. We wanted to investigate the impact of COVID-19 pandemic on the psychological status, quality of life (QoL) and quality of sleep (QoS) of myasthenia gravis (MG) patients. Methods: Data on the epidemiological and clinical characteristics of MG were collected. We used a self-designed questionnaire (consisting of 12 questions), a revised 15-item Myasthenia Gravis Quality of Life Questionnaire (MGQOL15r), a 36-item health survey of the Medical Outcomes Study Short Form (SF36), Pittsburgh sleep quality index (PSQI), Hamilton scales for the assessment of anxiety (HAM-A), and depression (HAMD) were used. We reassessed patients who were tested three years ago using the same questionnaires. Results: The study included 64 MG patients. We noticed a statistically significant difference between the results obtained three years ago and the results from April 2020 in PSQI scores ( P < 0.01). MGQOL15r, SF36, and PSQI scores correlate with severe clinical manifestation, high scores on HAM-A and HAM-D ( P < 0.01). Higher scores on HAM-D and fear that MG symptoms will be worse if the patient gets an upper respiratory infection were independent predictors of the lower SF36 scores. Regarding MGQOL15r-independent predictors of the higher score were higher scores on HAM-D. Conclusions: There is a significant impact of the COVID-19 epidemic on the psychological status and especially on the quality of sleep of MG patients. Healthcare organizations need to provide professional therapeutic advice and psychosocial support for this population of patients during the pandemic.

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“…The PSQI is a widely used questionnaire on sleep quality in the past month (26). It has been translated and validated in many populations, such as in Chinese (27), Japanese (28), Korean (29), French (30), Kurdish (31), Portuguese (32), Serbian (33), Hungarian (34), and Persian (35). The psychometric properties of the PSQI-Chinese version is satisfactory, with the Cronbach's alpha of 0.734 (27).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Poor Sleep Quality in Perinatal and Postnatal Women: A Comprehensive Meta-Analysis of Observational Studies

Yang

et al. 2020

Front. Psychiatry

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Background: Sleep disturbance is common in perinatal and postnatal women, but the epidemiology of sleep problems is highly variable in these populations. This was a metaanalysis that examined the prevalence of poor sleep quality and its correlates among perinatal and postnatal women.Methods: A systematic search of both international and Chinese databases (PubMed, EMBASE, PsycINFO, Web of Science, CNKI, and Wangfang) was performed. Studies with data on sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were included.Results: Forty-two studies were included for analyses. The prevalence of poor sleep quality was 54.2% (95% CI: 47.9-60.5%) in perinatal and postnatal women, with 44.5% (95% CI: 37.6-51.6%) in perinatal women and 67.2% (95% CI: 57.6-75.5%) in postnatal women. The pooled total PSQI score was 7.54 ± 0.40 (95% CI: 6.75-8.33), while the average PSQI component scores varied from 0.13 ± 0.04 for use of sleeping medication to 1.51 ± 0.17 for habitual sleep efficiency. Maternal age, study site, survey year, comorbidity, PSQI cut-off value, and quality assessment score had significant moderating effects on the prevalence of poor sleep quality. Conclusion:Given the negative impact of poor sleep quality on health outcomes and well-being, regular screening for poor sleep quality and effective interventions should be conducted for this population.

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Reliability and Validity of the Pittsburgh Sleep Quality Index-Serbian Translation

Cited by 28 publications

References 30 publications

Quality of sleep and health-related quality of life among health care professionals treating patients with coronavirus disease-19

Quality of sleep and health-related quality of life among health care professionals treating patients with coronavirus disease-19

The impact of the Coronavirus Disease-2019 pandemic on the psychological status and quality of life of myasthenia gravis patients

Prevalence of Poor Sleep Quality in Perinatal and Postnatal Women: A Comprehensive Meta-Analysis of Observational Studies

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