scholarly journals Construct validity and factor structure of the Pittsburgh Sleep Quality Index (PSQI) among physicians in Jeddah, Kingdom of Saudi Arabia

Author(s):  
Ahmad Azam Malik ◽  
Marwan A. Bakarman ◽  
Nadeem Shafique Butt

Sleep disorders continue to rise and have been estimated to affect around half of the global population. Poor sleep quality and insomnia are also linked to various health issues in different populations. The Pittsburgh Sleep Quality Index (PSQI) is one of the most commonly used tool to assess sleep quality. It has been tested in various clinical and non-clinical settings and populations but mostly in developed world. Literature is limited from Arab region and further scarcity of studies is observed among health providers from the region. This study aimed to assess the construct validity and factor structure of PSQI among physicians in Jeddah, Kingdom of Saudi Arabia. This cross-sectional study used the PSQI tool with 19 items and 7 components on 330 physicians working in Jeddah. Data was entered and analyzed in IBM SPSS and AMOS version 22. Cronbach alpha was 0.745. Construct validity showed satisfactory results. Exploration of factor structure with Confirmatory factor analysis (CFA) showed 1-factor model as better fit. Among three models, 3-factor model showed least fit indices. The study findings showed some similarities as well as differences to comparable studies using PSQI in other settings that requires further as well as continuous exploration of the dynamic issue in similar and diverse settings.

Author(s):  
Dunleavy ◽  
Bajpai ◽  
Tonon ◽  
Chua ◽  
Cheung ◽  
...  

The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. Although it was developed as a unidimensional instrument, there is much debate that it contains multidimensional latent constructs. This study aims to investigate the dimensionality of the underlying factor structure of the PSQI in a multi-ethnic working population in Singapore. The PSQI was administered on three occasions (baseline, 3 months and 12 months) to full-time employees participating in a workplace cohort study. Exploratory factor analysis (EFA) investigated the latent factor structure of the scale at each timepoint. Confirmatory factor analysis (CFA) evaluated the model identified by EFA, and additionally evaluated it against a single factor and a three-factor model. The EFA identified a two-factor model with similar internal consistency and goodness-of-fit across each timepoint. In the CFA, the two- and three-factor models were both superior to the unidimensional model. The two- and three-factor models of the PSQI were reliable, consistent and provided similar goodness-of-fit over time, and both models were superior to the unidimensional measure. We recommend using the two-factor model to assess sleep characteristics in working populations in Singapore, given that it performs as well as the three-factor model and is simpler compared to the latter.


Author(s):  
Mansour Shamsipour ◽  
Ali Asghar Akhlaghi ◽  
Samira Vesali ◽  
Elham Khatooni ◽  
Arezu Najafi ◽  
...  

Background and Objective: People that undergo assisted infertility treatments experience more sleep problems. Although Pittsburgh Sleep Quality Index (PSQI) frequently has been used as a sleep quality assessment scale in different clinical and non-clinical settings, different sample characteristics may account for different structures. The current study aimed to evaluate the factor structure of PSQI among women seeking infertility treatment in Iran. Materials and Methods: Using a convenience sampling method, 157 infertile women or women whose husbands had infertility problems were included in a cross-sectional study in Royan Institute, a main referral infertility center in Tehran, Iran. The factor structure of PSQI was evaluated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results: The Cronbach’s alpha coefficient for PSQI was 0.65. A two-factor model was extracted by EFA; 56% of the total variance was accounted for by this model. The results of CFA indicated that extracted model obtained acceptable fit statistics [comparative fit index (CFI) = 0.942, standardized root mean square residual (SRMR) = 0.042, root mean square error of approximation (RMSEA) = 0.128, χ2 = 19.8, degree of freedom (df) = 12, P = 0.071] compared to other original single-factor or 3-factor models. Conclusion: Our results revealed the limited usefulness of single-factor structure of PSQI. A two-factor model of Persian version of PSQI should be used to assess sleep problems among women seeking assisted infertility treatments.


2016 ◽  
Vol 20 (1) ◽  
pp. 293-301 ◽  
Author(s):  
Chunfang Qiu ◽  
Bizu Gelaye ◽  
Qiu-Yue Zhong ◽  
Daniel A. Enquobahrie ◽  
Ihunnaya O. Frederick ◽  
...  

Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.


SLEEP ◽  
2018 ◽  
Vol 41 (6) ◽  
Author(s):  
Monika B Raniti ◽  
Joanna M Waloszek ◽  
Orli Schwartz ◽  
Nicholas B Allen ◽  
John Trinder

2020 ◽  
Vol 70 (6) ◽  
pp. 1640-44
Author(s):  
Syed Sakhawat Kazmi ◽  
Zahid Hassan ◽  
Waseem Alamgir ◽  
Asif Hashmat ◽  
Muhammad Ali Yousaf ◽  
...  

Objective: To determine the frequency of poor sleep quality among the patients of Parkinson’s disease (PD) and analyze its relationship with the socio-demographic factors.Study Design: Correlational study. Place and Duration of Study: Pak Emirates Military Hospital Rawalpindi, from Jan 2019 to Jun 2019. Methodology: One hundred and fifty patients of Parkinson’s disease were approached to participate in this study. Pittsburgh sleep quality index (PSQI) was the psychometric tool used to assess the study parameter for the patients. Age, gender, duration of illness, poly pharmacy and tobacco smoking were corelated with presence of poor quality of sleep among the patients of Parkinson’s disease. Results: Out of 150 patients of Parkinson’s disease screened through Pittsburgh sleep quality index, 85 (56.7%)showed the presence of poor sleep quality while 65 (43.3%) had good sleep quality. Mean age of the patients was 66.2 ± 4.648 years. After applying the logistic regression, we found that increasing age and longer duration of illness had significant association with the presence of poor sleep quality among the patients of Parkinson disease. Conclusion: Previously considered a pure motor disorder, Parkinsonism has a lot of other neuro-psychiatricmanifestations as well. Poor sleep quality turned out to be one of these non-motor problems associated with this chronic debilitating illness. Increasing age and longer duration of illness among these patients emerged asindependent risk factors for poor sleep quality in Parkinsonism.


2021 ◽  
Vol 26 (4) ◽  
pp. 1457-1466
Author(s):  
Luiz Felipe Ferreira de Souza ◽  
Laisa Liane Paineiras-Domingos ◽  
Maria Eduarda de Souza Melo-Oliveira ◽  
Juliana Pessanha-Freitas ◽  
Eloá Moreira-Marconi ◽  
...  

Abstract This article aims to evaluate the sleep quality in individuals during the COVID-19 pandemic by Pittsburgh Sleep Quality Index (PSQI). Searches were conducted in the PubMed, Embase, Web of Science, and PEDro databases, on May 22, 2020. In the publications, 208 articles were found and, considering the eligibility criteria, 10 articles were included at the end, showing the effects on sleep quality during the pandemic, in populations hospitalized, quarantined, and in frontline health professionals. The PSQI measured sleep disorders and a higher score indicated poor sleep quality. Nine articles were classified with evidence level IV and one as level III-2. Eight studies present a “serious” risk of bias and two in “moderate”. The studies investigated different populations and described the results as “poor” sleep quality, considering the PSQI on quarantined individuals and frontline health professionals as the most committed. A poor sleep quality was found in the populations evaluated in the selected publications, probably, due to the COVID-19 to contribute as a risk factor for mental health. Psychological interventions must be made to minimize the consequences through social support and social capital.


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