Dimensionality of the Pittsburgh Sleep Quality Index in the young collegiate adults

Manzar, Dilshad; Zannat, Wassilatul; Hussain, M. Ejaz; Pandi-Perumal, Seithikurippu R.; BaHammam, Ahmed S.; Barakat, Doaa; Ojike, Nwakile; Olaish, Awad H; Spence, D. Warren

doi:10.1186/s40064-016-3234-x

Cited by 33 publications

(64 citation statements)

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“…The results of the EFA were inconclusive, but the outcome of CFA favored unidimensionality of the PSQI in the Ethiopian community adults (Tables 6, 7 and 8). This is similar to some of the previous reports [5, 11, 17], though heterogeneity of the factor structure of the PSQI remains an area of extensive research [5, 7, 11, 16]. …”

Section: Discussionsupporting

confidence: 91%

“…The results of Kaiser-Meyer-Olkin test of sampling adequacy, Bartlett’s test of sphericity, anti-image matrix and determinant show that the sample met the conditions for factor analysis (Table 6) [11, 16]. Kaiser’s criteria (Eigenvalue > 1), Scree plot and parallel analysis identified 3-factor models, while cumulative variance rule (>40%) found 2-factor model for the PSQI with seven components.…”

Section: Resultsmentioning

confidence: 99%

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Validation of the Pittsburgh sleep quality index in community dwelling Ethiopian adults

Salahuddin

Maru

Kumalo

et al. 2017

Health Qual Life Outcomes

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107

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BackgroundThe applicability of the Pittsburgh Sleep Quality Index (PSQI) in screening of insomnia is demonstrated in various populations. But, the tool has not been validated in a sample of Ethiopians. Therefore, this study aimed to assess its psychometric properties in community dwelling Ethiopian adults.Material and methodsParticipants (n = 311, age = 25.5 ± 6.0 years and body mass index = 22.1 ± 2.3 kg/m2) from Mizan-Aman town, Southwest Ethiopia completed the PSQI and a semi-structured questionnaire for socio-demographics. Clinical interview for screening of insomnia according to the International Classification of Sleep Disorders was carried out as a concurrent validation measure.ResultsOverall, the PSQI scale did not have floor effect and ceiling effects. Moderate internal consistency (Cronbach’s alpha was 0.59) and sufficient internal homogeneity as indicated by correlation coefficient between component scores and the global PSQI score was found. The PSQI was of good value for screening insomnia with optimal cut-off scores of 5.5 (sensitivity 82%, specificity 56.2%) and the area under the curve, 0.78 (p < 0.0001). The PSQI has unidimensional factor structure in the Ethiopian community adults for screening insomnia.ConclusionThe PSQI has good psychometric validity in screening for insomnia among Ethiopians adults.Electronic supplementary materialThe online version of this article (doi:10.1186/s12955-017-0637-5) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Validation of the Pittsburgh sleep quality index in community dwelling Ethiopian adults

Salahuddin

Maru

Kumalo

et al. 2017

Health Qual Life Outcomes

Self Cite

107

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“…This study showed that when administered to occupational computer users in India; the three-dimensional model of the AIS demonstrated sufficient factorial validity, adequate internal consistency, strong internal homogeneity, and adequate item discrimination. In general, few studies have explored the factorial validity of sleep-evaluating questionnaires among Indians [25,29,30].…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Athens Insomnia Scale in Occupational Computer Users

et al. 2020

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Background: Various studies have shown that insomnia is associated with computer use. The Athens Insomnia Scale (AIS) is an 8-item tool that has been widely used for screening insomnia. No studies have investigated the psychometric validity of AIS in occupational computer users. Objective: the current research aimed to test the psychometric properties of the AIS among occupational computer users. Materials and Methods: a sample of four hundred and twenty-four occupational computer users (age: 20–65 years and body mass index: 21.6 ± 3.5 kg/m2) completed an AIS and a socio-demographic questionnaire in this cross-sectional study. Results: a confirmatory factor analysis demonstrated that the three-factor model had an adequate fit (the goodness of fit index (0.95), incremental fit index (0.90) and χ2/df (2.61)). Evidence was found for configural, scalar and metric invariance of the 3-factor model across gender groups. A moderate level of internal consistency was implied by a Cronbach’s alpha of 0.66. Conclusion: the findings of the present research support the validity of AIS for screening insomnia, as demonstrated by the scale’s psychometric properties; its internal consistency, internal homogeneity, item discrimination, and factorial validity.

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“…Two of the measures employed to determine the number of factors to retain in the EFA including the robust measure of the parallel analysis revealed 1-Factor model of the SDS-Khat in the polysubstance users (Table 5 ) [ 21 ]. The unidimensionality of the SDS-Khat scale was further endorsed by the findings of the CFA (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Confirmatory factor analysis (CFA) using maximum likelihood extraction with bootstrapping to smooth non-normality assessed the standard estimates of the item loadings on the factor(s). As per consensus approach, multiple fit indices from different categories were employed [ 9 , 21 , 22 ]. Incremental Fit index (IFI), Comparative Fit Index (CFI), root mean square error of approximation (RMSEA), χ 2 and p of Close Fit (PClose) were used.…”

Section: Methodsmentioning

confidence: 99%

Psychometric properties of the severity of the dependence scale for Khat (SDS-Khat) in polysubstance users

et al. 2018

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BackgroundCurrent evidence suggests that the addiction on one substance may underpin or affect addiction on another in polysubstance users. However, there is no tool that has been shown to have psychometric validation for assessment of the severity of khat addiction in polysubstance users.MethodsPolysubstance users with khat chewing habit (n = 178, age = 25.8 ± 3.6, BMI = 23.3 ± 2.8 kg/m2) were recruited from randomly selected houses for a cross-sectional study in Mizan, Ethiopia. The survey including severity of dependence scale for khat (SDS-khat), a brief metacognition questionnaire, and a semi-structured socio-demographics tool were administered by trained interviewers.ResultsThere was no ceiling effect or floor effect in the SDS-Khat scores. Internal consistency was moderate (Cronbach’s alpha = 0.58). Internal homogeneity was adequate (Item-total correlations of the SDS-Khat; r ≥ 0.55). Significant negative correlations between the SDS-Khat and the metacognition (r = −.19 to −.34, p < 0.05 or p < 0.01) indicated convergent validity. The findings of exploratory factor analysis were non-unanimous with a suggestion of two models, i.e., a 2-factor and a 1-factor model, while the confirmatory factor analysis favored 1-Factor model.ConclusionThe SDS-Khat has adequate psychometric validity for the assessment of psychological severity of khat addiction in the polysubstance users.

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Dimensionality of the Pittsburgh Sleep Quality Index in the young collegiate adults

Cited by 33 publications

References 20 publications

Validation of the Pittsburgh sleep quality index in community dwelling Ethiopian adults

Validation of the Pittsburgh sleep quality index in community dwelling Ethiopian adults

Psychometric Properties of the Athens Insomnia Scale in Occupational Computer Users

Psychometric properties of the severity of the dependence scale for Khat (SDS-Khat) in polysubstance users

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