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...

Full description

Bibliographic Details
Main Authors: Oluremi A. Famodu, Makenzie L. Barr, Ida Holásková, Wenjun Zhou, Jesse S. Morrell, Sarah E. Colby, Melissa D. Olfert
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Sleep Disorders
Online Access:http://dx.doi.org/10.1155/2018/9643937
id doaj-a8f868f46605461f916503545718e738
record_format Article
spelling 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
work_keys_str_mv AT oluremiafamodu shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
AT makenzielbarr shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
AT idaholaskova shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
AT wenjunzhou shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
AT jessesmorrell shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
AT sarahecolby shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
AT melissadolfert shorteningofthepittsburghsleepqualityindexsurveyusingfactoranalysis
_version_ 1725324753539956736