Shortening of the Pittsburgh Sleep Quality Index Survey Using Factor Analysis
| Autor: | Wenjun Zhou, Sarah E. Colby, Jesse Stabile Morrell, Melissa D. Olfert, Makenzie L. Barr, Oluremi A Famodu, Ida Holásková |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
030109 nutrition & dietetics Article Subject lcsh:RC435-571 Cognitive Neuroscience Nonparametric statistics 030209 endocrinology & metabolism Exploratory factor analysis Test (assessment) Pittsburgh Sleep Quality Index Correlation 03 medical and health sciences Behavioral Neuroscience Psychiatry and Mental health Clinical Psychology 0302 clinical medicine McNemar's test lcsh:Psychiatry Statistics Categorical variable Kappa Research Article Mathematics |
| Zdroj: | Sleep Disorders, Vol 2018 (2018) Sleep Disorders |
| ISSN: | 2090-3553 2090-3545 |
| DOI: | 10.1155/2018/9643937 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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