Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis. (12th April 2018)
- Record Type:
- Journal Article
- Title:
- Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis. (12th April 2018)
- Main Title:
- Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis
- Authors:
- Famodu, Oluremi A.
Barr, Makenzie L.
Holásková, Ida
Zhou, Wenjun
Morrell, Jesse S.
Colby, Sarah E.
Olfert, Melissa D. - Other Names:
- Billiard Michel M. Academic Editor.
- Abstract:
- Abstract : 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 wasAbstract : 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 ). … (more)
- Is Part Of:
- Sleep disorders. Volume 2018(2018)
- Journal:
- Sleep disorders
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-04-12
- Subjects:
- Sleep disorders -- Periodicals
616.8498005 - Journal URLs:
- https://www.hindawi.com/journals/sd/ ↗
- DOI:
- 10.1155/2018/9643937 ↗
- Languages:
- English
- ISSNs:
- 2090-3545
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10308.xml