Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis
Joint Authors
Colby, Sarah
Olfert, Melissa D.
Morrell, Jesse Stabile
Famodu, Oluremi A.
Barr, Makenzie L.
Holásková, Ida
Zhou, Wenjun
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Objective/Introduction.
Lengthy surveys have the potential to burden users and can lead to inaccuracies.
Conducting analyses to shorten existing validated surveys is beneficial.
The objective, therefore, was to shorten the Pittsburgh Quality Sleep Index (PSQI) for young adults.
Methods.
PSQI data from 1246 college students were used.
An exploratory factor analysis (FA) was utilized to shorten survey after dropping select items.
Nonparametric correlation analysis (Spearman’s rho) was conducted between the global sleep scores of the shortened and original surveys.
Agreements tests (Kappa and McNemar’s test) measured the agreement of the surveys and sensitivity and specificity were evaluated.
Results.
Six factors were examined using maximum likelihood factoring method, applying squared multiple correlations with Promax rotation to allow for correlated variables.
FA with six factors explained 100% of shared variance based on eigenvalues and accounted for 61% of variability based on variables.
The FA resulted in 13 selected questions (“shortPSQI”), corresponding to 5 of the 7 components of the original survey.
High correlation was found between the global scores of the original survey and the “shortPSQI” (rho = 0.94, p<0.001).
When the global score was converted to the categorical variable of good or poor sleepers, the agreement test indicated strong agreement (Kappa 0.83, 95% CI 0.79–0.86, p<0.0001).
Conclusion.
The validated, 19-item PSQI survey was shortened to 13 items.
Tests of correlation and agreement indicate the “shortPSQI” may be an acceptable alternative to the original survey for young adults.
Clinical Trial Registration.
Data for this study was taken from the Get Fruved study, registered on October 21, 2016, on clinicaltrials.gov (NCT02941497).
American Psychological Association (APA)
Famodu, Oluremi A.& Barr, Makenzie L.& Holásková, Ida& Zhou, Wenjun& Morrell, Jesse Stabile& Colby, Sarah…[et al.]. 2018. Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis. Sleep Disorders،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214615
Modern Language Association (MLA)
Famodu, Oluremi A.…[et al.]. Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis. Sleep Disorders No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1214615
American Medical Association (AMA)
Famodu, Oluremi A.& Barr, Makenzie L.& Holásková, Ida& Zhou, Wenjun& Morrell, Jesse Stabile& Colby, Sarah…[et al.]. Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis. Sleep Disorders. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1214615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214615