Psychometric Properties of the Persian Translation of Pittsburgh Sleep Quality Index

Nazifi, Morteza; Mokarami, Hamidreza; Kalte, Haji Omid; Rahi, Amid

doi:10.17795/jhealthscope-15547

Cited by 36 publications

(30 citation statements)

References 18 publications

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“…This study aimed to determine factor structure and internal consistency of the Pittsburgh Sleep Quality Index (PSQI) Results of this study reveals the PSQI (Persian version) internal consistency as 0.65 that is consistent with the results of Mariman [13]. However, in Nazifi study, the internal consistency was determined as 0.55 in employees of Kerman hospitals [21]. KMO and Bartlett's test indicated that factor analysis was a good idea for our dataset.…”

Section: Discussionsupporting

confidence: 51%

The Reliability and Validity of the Persian Version of Pittsburgh Sleep Quality Index in Iranian People

Mezerji

Naseri

Omraninezhad

et al. 2017

Avicenna. J. Neuro. Psycho. Physio.

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Sleep disturbances are a significant public health issue and such problems are associated with a number of psychiatric disorders. The Pittsburgh Sleep Quality Index (PSQI) is an effective instrument frequently used to evaluate sleep style and quality. Objectives: The present study aimed to assess the reliability, validity, and factor structure of the Persian version of PSQI. Materials and Methods: This cross-sectional study was conducted on 1115 citizens of Arak City, Iran aged 18-60 years. They were selected by stratified random sampling method from different parts of the city. The following aspects of the Persian version of PSQI were evaluated to assess its validity and reliability. To assess the validity of the content, the questionnaire was sent to a panel of 15 academic members consisting of experts in the fields of psychology and health education. The internal consistency of the PSQI questionnaire was evaluated by the Cronbach alpha coefficient and item-scale correlation. To investigate the factor structure of the PSQI, Exploratory Factor Analysis (EFA) was performed with a 2-factor solution and varimax rotation. The extraction of principal factors was performed after varimax orthogonal rotation and Kaiser's criterion. At last, Confirmatory Factor Analysis (CFA) was applied to assess the reliability of the PSQI questionnaire. All analyses were performed in SPSS V. 16.0 and AMOS for Windows. Results: The Persian version of PSQI was evaluated in the study with regard to its internal consistency and factor structure. The result showed excellent item content validity index (≥0.78) and excellent scale content validity index (≥0.90). The result of the Cronbach alpha coefficient was 0.65. The factors of perceived sleep quality and sleep efficiency were extracted by means of factor analysis and these two factors explained 51.75% of the total variance. Confirmatory factor analysis results show the model's satisfactory fitting based on adequacy criteria goodness of fit index, goodness of fit index adjusted for degrees of freedom, root mean square error of approximation, and comparative fit index. The nonnormed fit index was close to its reference value of 0.90. Conclusion: In general, findings suggest that the Persian version of PSQI displayed satisfactory validity and reliability to measure the quality of sleep of Iranian people, at least citizens of Arak City, Iran.

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Section: Discussionsupporting

confidence: 51%

The Reliability and Validity of the Persian Version of Pittsburgh Sleep Quality Index in Iranian People

Mezerji

Naseri

Omraninezhad

et al. 2017

Avicenna. J. Neuro. Psycho. Physio.

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“…In this formula Considering p as prevalence of sleep problems (49.4%)(10) (Nazifi et al, 2014); Test confidence and test power are considered respectively; 95% and 0.05, the least number of the samples was estimated 400 were selected by multistage cluster random sampling method based on the number of elderly population in an urban health center. Participants aged 60 years or over (Noroozian, 2012) , ability for verbal communication to response the questions and without a history of cognitive and mental diseases and disability were included to the study; so written informed consent was gained from all participants.…”

Section: Methodsmentioning

confidence: 99%

“…Because elderly people have at least one chronic disease such as arthritis, high blood pressure, Diabetes, cardiovascular diseases, Musculoskeletal disorders, Neurological diseases, sensory disorders and … (Barry, 2000), (Pishkar Mofrad, Jahantigh, Arbabisarjou, 2015) Chronic disease of the participants were recorded using medical disease list. The scale applied to measure sleep quality was the Pittsburgh sleep quality index (PSQI) (Smyth, 2008;Nazifi et al, 2014). The PSQI is a validated tool that contains 19 questions on multiple dimensions that assess sleep quality and problems in the past month.…”

Section: Methodsmentioning

confidence: 99%

Association of Sleep Quality with Socio-Demographic Characteristics in Elderly Referred to Health Centers in Qazvin, Iran

Dehghankar¹,

Ghorbani²,

Dr.yekefallah³

et al. 2018

Sleep Hypn

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Background and aim: Sleep disorders are not innately harmful to quality of life, they can induce or complicate physical and mental sicknesses and increase the risk of mortality. The aim of this study was to determine the association of sleep quality components with socio-demographic characteristics in elderly people in Qazvin, Iran. Materials and Methods: This descriptive cross-sectional study was performed on 400 elderly patients referred to health centers in Qazvin. Data were collected by using a demographic questionnaire and the Pittsburgh sleep quality index (PSQI). Data were analyzed by SPSS 19 software, descriptive and inferential statistics (Mann-Whitney, Chi-square, logistic regression). Results: The prevalence of poor sleep quality was 80%. Statistically significant difference were observed between total global PSQI score and economic condition (p<0.03) and had chronic physical disease (P<0.001). Highest component scores was sleep latency (1.55±1.06) and lowest was habitual sleep efficiency (0.16±0.57). Older women had worse sleep quality compared with older men (P < 0.05). Multivariate logistic regression model indicated that female sex is associated with greater tendency towards poor sleep quality (OR=1.78, 95% CI=1.08-2.94, P=0.022). Conclusion: This study provides evidences that poor sleep quality was high among the elderly of Qazvin. It seems sleep quality assessment of older adults is necessary to identify the factors affecting sleep quality and to adopt appropriate measures and strategies to eliminate or reduce the effect of these factors.

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“…PSQI was validated in Iranian population by Nazifi et al (21). Sleep quality was defined poor in the scores more than 5.…”

Section: Assessment Of Sleep Qualitymentioning

confidence: 99%

Restless Leg Syndrome, Insomnia, and Depression in Hemodialysis Patients: Three Sides of a Triangle?

et al. 2017

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Psychometric Properties of the Persian Translation of Pittsburgh Sleep Quality Index

Cited by 36 publications

References 18 publications

The Reliability and Validity of the Persian Version of Pittsburgh Sleep Quality Index in Iranian People

The Reliability and Validity of the Persian Version of Pittsburgh Sleep Quality Index in Iranian People

Association of Sleep Quality with Socio-Demographic Characteristics in Elderly Referred to Health Centers in Qazvin, Iran

Restless Leg Syndrome, Insomnia, and Depression in Hemodialysis Patients: Three Sides of a Triangle?

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