Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis
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 fr...
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doaj-a8f868f46605461f916503545718e7382020-11-25T00:30:57ZengHindawi LimitedSleep Disorders2090-35452090-35532018-01-01201810.1155/2018/96439379643937Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor AnalysisOluremi A. Famodu0Makenzie L. Barr1Ida Holásková2Wenjun Zhou3Jesse S. Morrell4Sarah E. Colby5Melissa D. Olfert6Division of Animal and Nutritional Sciences, Davis College of Agriculture, Natural Resources, and Design, West Virginia University, Morgantown, WV, USADivision of Animal and Nutritional Sciences, Davis College of Agriculture, Natural Resources, and Design, West Virginia University, Morgantown, WV, USAOffice of Statistics, West Virginia Agriculture and Forestry Experiment Station, West Virginia University, 4100 Agricultural Sciences Building, P.O. Box 6108, Morgantown, WV 26506-6108, USAUniversity of Tennessee, Knoxville, 916 Volunteer Boulevard, UT SMC 247, Knoxville, TN 37996, USAUniversity of New Hampshire, Kendall Hall, Room 115, 129 Main Street, Durham, NH 03824, USAUniversity of Tennessee, Knoxville, 1215 W. Cumberland Avenue, 229 Jessie Harris Building, Knoxville, TN 37996, USADivision of Animal and Nutritional Sciences, Davis College of Agriculture, Natural Resources, and Design, West Virginia University, Morgantown, WV, USAObjective/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).http://dx.doi.org/10.1155/2018/9643937 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Oluremi A. Famodu Makenzie L. Barr Ida Holásková Wenjun Zhou Jesse S. Morrell Sarah E. Colby Melissa D. Olfert |
spellingShingle |
Oluremi A. Famodu Makenzie L. Barr Ida Holásková Wenjun Zhou Jesse S. Morrell Sarah E. Colby Melissa D. Olfert Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis Sleep Disorders |
author_facet |
Oluremi A. Famodu Makenzie L. Barr Ida Holásková Wenjun Zhou Jesse S. Morrell Sarah E. Colby Melissa D. Olfert |
author_sort |
Oluremi A. Famodu |
title |
Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis |
title_short |
Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis |
title_full |
Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis |
title_fullStr |
Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis |
title_full_unstemmed |
Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis |
title_sort |
shortening of the pittsburgh sleep quality index survey using factor analysis |
publisher |
Hindawi Limited |
series |
Sleep Disorders |
issn |
2090-3545 2090-3553 |
publishDate |
2018-01-01 |
description |
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). |
url |
http://dx.doi.org/10.1155/2018/9643937 |
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