Dimensionality of the Pittsburgh Sleep Quality Index: a systematic review

Md Dilshad Manzar, Ahmed S BaHammam, Unaise Abdul Hameed, David Warren Spence, Seithikurippu R Pandi-Perumal, Adam Moscovitch, David L Streiner, Md Dilshad Manzar, Ahmed S BaHammam, Unaise Abdul Hameed, David Warren Spence, Seithikurippu R Pandi-Perumal, Adam Moscovitch, David L Streiner

Abstract

Background: The Pittsburgh Sleep Quality Index (PSQI) dimensionality is much debated, with the greatest number of reported factor structures. Therefore, this review appraised the methodologies of studies investigating the factor structure of the PSQI.

Material and methods: MEDLINE, PsycInfo, AJOL, BASE, Cochrane Library, Directory of Open Access Journals (Lund University), CINAHL, and Embase were searched systematically to include articles published till 23rd March, 2018. The articles with the objective of factor analysis of the PSQI (20 articles) or with a major section on the same subject (25 articles) were included. There was no limitation about participant characteristics. Descriptive analysis of articles for measures of the suitability of the data for factor analysis, details of the exploratory factor analysis (EFA) and details of the confirmatory factor analysis (CFA) was performed.

Results: The analysis used by the majority did not employ the simplest scheme for interpreting the observed data: the parsimony principle. Other shortcomings included under- or non-reporting of sample adequacy measures (11 out of 45 articles), non-use of EFA (20 out of 45 articles), use of EFA without relevant details, non-use of CFA (11 out of 45 articles), and use of CFA without relevant details. Overall, 31 out of 45 articles did not use either EFA or CFA.

Conclusion: We conclude that the various PSQI factor structures for standard sleep assessment in research and clinical settings may need further validation.

Trial registration: Not applicable because this was a review of existing literature.

Keywords: Confirmatory factor analysis; Dimensionality; Exploratory factor analysis; Model fit; Sleep; Systematic review.

Conflict of interest statement

Ethics approval and consent to participate

The study was approved by the Human Institutional Ethics Committee of Mizan-Tepi University.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Schematic of the article selection process

References

    1. Ohayon MM. Epidemiological overview of sleep disorders in the general population. Sleep Med Res. 2011;2:1–9. doi: 10.17241/smr.2011.2.1.1.
    1. Attarian HP. Epidemiology of sleep disorders in women. In: Attarian HP, Viola-Saltzman M, editors. Sleep disorders in women: a guide to practical management. New York: Springer Science+Business Media; 2013.
    1. de Souza Lopes C, Robaina JR, Rotenberg L. Epidemiology of insomnia: prevalence and risk factors. In: Sahoo S, editor. In Can’t sleep? Issues of being an insomniac: In Tech; Shanghai. 2012. p. 1–21.
    1. Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A. The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: a systematic review and meta-analysis. Sleep Med Rev. 2016;25:52–73. doi: 10.1016/j.smrv.2015.01.009.
    1. Manzar MD, Moiz JA, Zannat W, Spence DW, Pandi-Perumal SR, Hussain ME. Validity of the Pittsburgh sleep quality index in Indian university students. Oman Med J. 2015;30:193–202. doi: 10.5001/omj.2015.41.
    1. Udwadia ZF, Doshi AV, Lonkar SG, Singh CI. Prevalence of sleep-disordered breathing and sleep apnea in middle-aged urban Indian men. Am J Respir Crit Care Med. 2004;169:168–173. doi: 10.1164/rccm.200302-265OC.
    1. Sweileh WM, Ali IA, Sawalha AF, Abu-Taha AS, Zyoud SH, Al-Jabi SW. Sleep habits and sleep problems among Palestinian students. Child Adolesc Psychiatry Ment Health. 2011;5:25. doi: 10.1186/1753-2000-5-25.
    1. Leger D, Bayon V, Ohayon MM, Philip P, Ement P, Metlaine A, Chennaoui M, Faraut B. Insomnia and accidents: cross-sectional study (EQUINOX) on sleep-related home, work and car accidents in 5293 subjects with insomnia from 10 countries. J Sleep Res. 2014;23:143–152. doi: 10.1111/jsr.12104.
    1. Shekleton JA, Flynn-Evans EE, Miller B, Epstein LJ, Kirsch D, Brogna LA, Burke LM, Bremer E, Murray JM, Gehrman P, et al. Neurobehavioral performance impairment in insomnia: relationships with self-reported sleep and daytime functioning. Sleep. 2014;37:107–116.
    1. Fortier-Brochu E, Beaulieu-Bonneau S, Ivers H, Morin CM. Insomnia and daytime cognitive performance: a meta-analysis. Sleep Med Rev. 2012;16:83–94. doi: 10.1016/j.smrv.2011.03.008.
    1. Guallar-Castillon P, Bayan-Bravo A, Leon-Munoz LM, Balboa-Castillo T, Lopez-Garcia E, Gutierrez-Fisac JL, Rodriguez-Artalejo F. The association of major patterns of physical activity, sedentary behavior and sleep with health-related quality of life: a cohort study. Prev Med. 2014;67:248–254. doi: 10.1016/j.ypmed.2014.08.015.
    1. Buysse DJ, Reynolds CF, 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213. doi: 10.1016/0165-1781(89)90047-4.
    1. Bassetti C, Dijk D, Dogas Z, Levy P. The future of sleep research and sleep medicine in Europe: a need for academic multidisciplinary sleep Centres. In: European Sleep Research Society 1972–2012. 2012.
    1. Manzar MD, Zannat W, Hussain ME. Sleep and physiological systems: a functional perspective. Biol Rhythm Res. 2015;46:195–206. doi: 10.1080/09291016.2014.966504.
    1. Manzar MD, Zannat W, Moiz JA, Spence DW, Pandi-Perumal SR, Bahammam AS. Factor scoring models of the Pittsburgh sleep quality index: a comparative confirmatory factor analysis. Biol Rhythm Res. 2016; 47:851-64.
    1. Salahuddin M, Maru TT, Kumalo A, Pandi-Perumal SR, Bahammam AS, Manzar MD. Validation of the Pittsburgh sleep quality index in community dwelling Ethiopian adults. Health Qual Life Outcomes. 2017;15:58. doi: 10.1186/s12955-017-0637-5.
    1. Manzar MD, Zannat W, Hussain ME, Pandi-Perumal SR, Bahammam AS, Barakat D, Ojike NI, Olaish A, Spence DW. Dimensionality of the Pittsburgh sleep quality index in the collegiate young adults. Spring. 2016;5:1550. doi: 10.1186/s40064-016-3234-x.
    1. Child D. The essentials of factor analysis. New York: Bloomsbury Academic; 2006.
    1. Harman HH. Modern factor analysis. Chicago: University of Chicago Press; 1976.
    1. Bartholomew DJ, Knott M, Moustaki I. Latent variable models and factor analysis: a unified approach. West Sussex: Wiley; 2011.
    1. McDonald RP. Factor analysis and related methods. New York: Psychology press; 2014.
    1. Cole JC, Motivala SJ, Buysse DJ, Oxman MN, Levin MJ, Irwin MR. Validation of a 3-factor scoring model for the Pittsburgh sleep quality index in older adults. Sleep. 2006;29:112–116. doi: 10.1093/sleep/29.1.112.
    1. Skouteris H, Wertheim EH, Germano C, Paxton SJ, Milgrom J. Assessing sleep during pregnancy: a study across two time points examining the Pittsburgh sleep quality index and associations with depressive symptoms. Womens Health Issues. 2009;19:45–51. doi: 10.1016/j.whi.2008.10.004.
    1. Magee CA, Caputi P, Iverson DC, Huang XF. An investigation of the dimensionality of the Pittsburgh sleep quality index in Australian adults. Sleep Biol Rhythms. 2008;6:222-27.
    1. Kotronoulas GC, Papadopoulou CN, Papapetrou A, Patiraki E. Psychometric evaluation and feasibility of the Greek Pittsburgh sleep quality index (GR-PSQI) in patients with cancer receiving chemotherapy. Support Care Cancer. 2011;19:1831–1840. doi: 10.1007/s00520-010-1025-4.
    1. Jomeen J, Martin CR. Assessment and relationship of sleep quality to depression in early pregnancy. J Reprod Infant Psychol. 2007;25:87–99.
    1. Jimenez-Genchi A, Monteverde-Maldonado E, Nenclares-Portocarrero A, Esquivel-Adame G, de la Vega-Pacheco A. Reliability and factorial analysis of the Spanish version of the Pittsburg sleep quality index among psychiatric patients. Gac Med Mex. 2008;144:491–496.
    1. Buysse DJ, Hall ML, Strollo PJ, Kamarck TW, Owens J, Lee L, Reis SE, Matthews KA. Relationships between the Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), and clinical/polysomnographic measures in a community sample. J Clin Sleep Med. 2008;4:563–571.
    1. Burkhalter H, Sereika SM, Engberg S, Wirz-Justice A, Steiger J, De Geest S. Structure validity of the Pittsburgh sleep quality index in renal transplant recipients: a confirmatory factor analysis. Sleep Biol Rhythms. 2010;8:274–281. doi: 10.1111/j.1479-8425.2010.00473.x.
    1. Babson KA, Blonigen DM, Boden MT, Drescher KD, Bonn-Miller MO. Sleep quality among U.S. military veterans with PTSD: a factor analysis and structural model of symptoms. J Trauma Stress. 2012;25:665–674. doi: 10.1002/jts.21757.
    1. Aloba OO, Adewuya AO, Ola BA, Mapayi BM. Validity of the Pittsburgh sleep quality index (PSQI) among Nigerian university students. Sleep Med. 2007;8:266–270. doi: 10.1016/j.sleep.2006.08.003.
    1. Otte JL, Rand KL, Carpenter JS, Russell KM, Champion VL. Factor analysis of the Pittsburgh sleep quality index in breast cancer survivors. J Pain Symptom Manag. 2013;45:620–627. doi: 10.1016/j.jpainsymman.2012.03.008.
    1. Mariman A, Vogelaers D, Hanoulle I, Delesie L, Tobback E, Pevernagie D. Validation of the three-factor model of the PSQI in a large sample of chronic fatigue syndrome (CFS) patients. J Psychosom Res. 2012;72:111–113. doi: 10.1016/j.jpsychores.2011.11.004.
    1. Chong AML, Cheung CK. Factor structure of a Cantonese-version Pittsburgh sleep quality index. Sleep Biol Rhythms. 2012;10:118–125. doi: 10.1111/j.1479-8425.2011.00532.x.
    1. Casement MD, Harrington KM, Miller MW, Resick PA. Associations between Pittsburgh sleep quality index factors and health outcomes in women with posttraumatic stress disorder. Sleep Med. 2012;13:752–758. doi: 10.1016/j.sleep.2012.02.014.
    1. Tomfohr LM, Schweizer CA, Dimsdale JE, Loredo JS. Psychometric characteristics of the Pittsburgh sleep quality index in English speaking non-Hispanic whites and English and Spanish speaking Hispanics of Mexican descent. J Clin Sleep Med. 2013;9:61–66.
    1. Otte JL, Rand KL, Landis CA, Paudel ML, Newton KM, Woods N, Carpenter JS. Confirmatory factor analysis of the Pittsburgh sleep quality index in women with hot flashes. Menopause. 2015;22:1190–1196. doi: 10.1097/GME.0000000000000459.
    1. Nicassio PM, Ormseth SR, Custodio MK, Olmstead R, Weisman MH, Irwin MR. Confirmatory factor analysis of the Pittsburgh sleep quality index in rheumatoid arthritis patients. Behav Sleep Med. 2014;12:1–12. doi: 10.1080/15402002.2012.720315.
    1. Nazifi M, Mokarami H. Psychometric properties of the Persian translation of Pittsburgh sleep quality. Health Scope. 2014;3:e15547.
    1. Lequerica A, Chiaravalloti N, Cantor J, Dijkers M, Wright J, Kolakowsky-Hayner SA, Bushnick T, Hammond F, Bell K. The factor structure of the Pittsburgh sleep quality index in persons with traumatic brain injury. A NIDRR TBI model systems module study. NeuroRehabilitation. 2014;35:485–492.
    1. Koh HW, Lim RB, Chia KS, Lim WY. The Pittsburgh sleep quality index in a multi-ethnic Asian population contains a three-factor structure. Sleep Breath. 2015;19:1147–1154. doi: 10.1007/s11325-015-1130-1.
    1. Ho RT, Fong TC. Factor structure of the Chinese version of the Pittsburgh sleep quality index in breast cancer patients. Sleep Med. 2014;15:565–569. doi: 10.1016/j.sleep.2013.10.019.
    1. Hita-Contreras F, Martinez-Lopez E, Latorre-Roman PA, Garrido F, Santos MA, Martinez-Amat A. Reliability and validity of the Spanish version of the Pittsburgh sleep quality index (PSQI) in patients with fibromyalgia. Rheumatol Int. 2014;34:929–936. doi: 10.1007/s00296-014-2960-z.
    1. Gelaye B, Lohsoonthorn V, Lertmeharit S, Pensuksan WC, Sanchez SE, Lemma S, Berhane Y, Zhu X, Velez JC, Barbosa C, et al. Construct validity and factor structure of the Pittsburgh sleep quality index and Epworth sleepiness scale in a multi-national study of African, south east Asian and south American college students. PLoS One. 2014;9:e116383. doi: 10.1371/journal.pone.0116383.
    1. Zhong QY, Gelaye B, Sanchez SE, Williams MA. Psychometric properties of the Pittsburgh sleep quality index (PSQI) in a cohort of Peruvian pregnant women. J Clin Sleep Med. 2015;11:869–877.
    1. Rener-Sitar K, John MT, Bandyopadhyay D, Howell MJ, Schiffman EL. Exploration of dimensionality and psychometric properties of the Pittsburgh sleep quality index in cases with temporomandibular disorders. Health Qual Life Outcomes. 2014;12:10. doi: 10.1186/1477-7525-12-10.
    1. Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociol Methods Res. 1992;21:230-58.
    1. Yunus RM, Wazid SW, Hairi NN, Choo WY, Hairi FM, Sooryanarayana R, Ahmad SN, Razak IA, Peramalah D, Aziz SA. Association between elder abuse and poor sleep: a cross-sectional study among rural older Malaysians. PLoS One. 2017;12:e0180222. doi: 10.1371/journal.pone.0180222.
    1. Fontes F, Gonçalves M, Maia S, Pereira S, Severo M, Lunet N. Reliability and validity of the Pittsburgh sleep quality index in breast cancer patients. Support Care Cancer. 2017;25:3059–3066. doi: 10.1007/s00520-017-3713-9.
    1. Zheng B, Li M, Wang K, Lv J. Analysis of the reliability and validity of the Chinese version of Pittsburgh sleep quality index among medical college students. Beijing Da Xue Xue Bao Yi Xue Ban. 2016;48:424–428.
    1. Khosravifar S, Bandi MG, Alavi K, Javadi PHS. Evaluation of the psychometric properties of the Persian version of the Pittsburgh sleep quality index in depressed patients. Electron Physician. 2015;7:1644. doi: 10.19082/1644.
    1. Passos MH, Silva HA, Pitangui AC, Oliveira VM, Lima AS, Araújo RC. Reliability and validity of the Brazilian version of the Pittsburgh sleep quality index in adolescents. J Pediatr. 2017;93:200–206. doi: 10.1016/j.jped.2016.06.006.
    1. Becker NB, de Neves Jesus S. Adaptation of a 3-factor model for the Pittsburgh sleep quality index in Portuguese older adults. Psychiatry Res. 2017;251:298–303. doi: 10.1016/j.psychres.2017.02.033.
    1. Hancock P, Larner AJ. Diagnostic utility of the Pittsburgh sleep quality index in memory clinics. Int J Geriatr Psychiatry. 2009;24:1237–1241. doi: 10.1002/gps.2251.
    1. Yurcheshen ME, Guttuso T, Jr, McDermott M, Holloway RG, Perlis M. Effects of gabapentin on sleep in menopausal women with hot flashes as measured by a Pittsburgh sleep quality index factor scoring model. J Women’s Health (Larchmt) 2009;18:1355–1360. doi: 10.1089/jwh.2008.1257.
    1. Curcio G, Tempesta D, Scarlata S, Marzano C, Moroni F, Rossini PM, Ferrara M, De Gennaro L. Validity of the Italian version of the Pittsburgh sleep quality index (PSQI) Neurol Sci. 2013;34:511–519. doi: 10.1007/s10072-012-1085-y.
    1. João KADR, Becker NB, de Neves Jesus S, Martins RIS. Validation of the Portuguese version of the Pittsburgh sleep quality index (PSQI-PT) Psychiatry Res. 2017;247:225–229. doi: 10.1016/j.psychres.2016.11.042.
    1. Qiu C, Gelaye B, Zhong Q-Y, Enquobahrie DA, Frederick IO, Williams MA. Construct validity and factor structure of the Pittsburgh sleep quality index among pregnant women in a Pacific-northwest cohort. Sleep Breath. 2016;20:293–301. doi: 10.1007/s11325-016-1313-4.
    1. de la Vega R, Tomé-Pires C, Solé E, Racine M, Castarlenas E, Jensen MP, Miró J. The Pittsburgh sleep quality index: validity and factor structure in young people. Psychol Assess. 2015;27:e22. doi: 10.1037/pas0000128.
    1. Guo S, Sun W, Liu C, Wu S. Structural validity of the Pittsburgh sleep quality index in Chinese undergraduate students. Front Psychol. 2016;7:1126. doi: 10.3389/fpsyg.2016.01126.
    1. Benhayon D, Youk A, McCarthy FN, Davis S, Keljo DJ, Bousvaros A, Fairclough D, Kupfer D, Buysse DJ, Szigethy EM. Characterization of relationships between sleep, inflammation, and psychiatric dysfunction in depressed youth with Crohn’s disease. J Pediatr Gastroenterol Nutr. 2013;57:335. doi: 10.1097/MPG.0b013e31829641df.
    1. DeGutis J, Chiu C, Thai M, Esterman M, Milberg W, McGlinchey R. Trauma sequelae are uniquely associated with components of self-reported sleep dysfunction in OEF/OIF/OND veterans. Behav Sleep Med. 2018;16:38–63. doi: 10.1080/15402002.2016.1173550.
    1. Chen P-Y, Jan Y-W, Yang C-M. Are the insomnia severity index and Pittsburgh sleep quality index valid outcome measures for cognitive behavioral therapy for insomnia? Inquiry from the perspective of response shifts and longitudinal measurement invariance in their Chinese versions. Sleep Med. 2017;35:35–40. doi: 10.1016/j.sleep.2017.04.003.
    1. Zhu B, Xie M, Park CG, Kapella MC. Adaptation of the Pittsburgh sleep quality index in Chinese adults with type 2 diabetes. J Chin Med Assoc. 2018;81:242–247. doi: 10.1016/j.jcma.2017.06.021.
    1. Morris JL, Rohay J, Chasens ER. Sex differences in the psychometric properties of the Pittsburgh sleep quality index. J Women’s Health. 2017;27:278-82.
    1. Dudysova D, Malá I, Mlada K, Saifutdinova E, Koprivova J, Sos P. Structural and construct validity of the Czech version of the Pittsburgh sleep quality index in chronic insomnia. Neuro Endocrinol Lett. 2017;38:67–73.
    1. Anandakumar D, Dayabandara M, Ratnatunga S, Hanwella R, de Silva V. Validation of the Sinhala version of the Pittsburgh sleep quality index. Ceylon Med J. 2016;61;22-25.
    1. Albright JJ, Park HM. Confirmatory factor analysis using Amos, LISREL, Mplus, SAS/STAT CALIS. Bloomington: Indiana University; 2009.
    1. Cattell RB. The scree test for the number of factors. Multivar Behav Res. 1966;1:245–276. doi: 10.1207/s15327906mbr0102_10.
    1. O’connor BP. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behav Res Methods Instrum Comput. 2000;32:396–402. doi: 10.3758/BF03200807.
    1. Horn JL. A rationale and test for the number of factors in factor analysis. Psychometrika. 1965;30:179–185. doi: 10.1007/BF02289447.
    1. Williams B, Onsman A, Brown T. Exploratory factor analysis: a five-step guide for novices. J Emerg Prim Health Care. 2010;8:990399.
    1. Comrey AL. A first course in factor analysis. New York: Academic Press; 1973.
    1. Sapnas KG, Zeller RA. Minimizing sample size when using exploratory factor analysis for measurement. J Nurs Meas. 2002;10:135–154. doi: 10.1891/jnum.10.2.135.52552.
    1. Bryant FB, Yarnold PR. Comparing five alternative factor-models of the student Jenkins activity survey: separating the wheat from the chaff. J Pers Assess. 1995;64:145–158. doi: 10.1207/s15327752jpa6401_10.
    1. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 2011.
    1. Henson RK, Roberts JK. Use of exploratory factor analysis in published research common errors and some comment on improved practice. Educ Psychol Meas. 2006;66:393-416.
    1. Tabachnick BG, Fidell LS. Using multivariate statistics: Pearson Education Limited; Harlow, 2013.
    1. Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval. 2005;10:1-9.
    1. Gie Yong A, Pearce S. Beginner’s guide to factor analysis: focusing on exploratory factor analysis. Tutor Quant Methods Psychol. 2013;9:79-94.
    1. Beavers AS, Lounsbury JW, Richards JK, Huck SW, Skolits GJ, Esquivel SL. Practical considerations for using exploratory factor analysis in educational research. 2013. p. 18.
    1. Cudeck R, MacCallum RC. Factor analysis at 100: historical developments and future directions. Mahwah: Lawrence Erlbaum Associates; 2007.
    1. Pett MA, Lackey NR, Sullivan JJ. Making sense of factor analysis: the use of factor analysis for instrument development in health care research. California: SAGE Publications; 2003.
    1. Courtney MGR. Determining the number of factors to retain in EFA: using the SPSS R-menu v2.0 to make more judicious estimations. ERIC. 2013;18:14.
    1. Thompson B. Exploratory and confirmatory factor analysis: understanding concepts and applications. Washington, DC: American Psychological Association; 2004.
    1. Bollen K, Stine RA. Bootstrapping goodness-of-fit measures in structural equation models. Sociol Methods Res. 1992;21:205–229. doi: 10.1177/0049124192021002004.
    1. Jackson DL, Gillaspy JA, Purc-Stephenson R. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods. 2009;14:6–23. doi: 10.1037/a0014694.
    1. Awang Z. Validating the measurement model: CFA. In: A Handbook on SEM. 2nd editiion ed: Kuala Lumpur: Universiti Sultan Zainal Abidin; 2015. p. 54–73.
    1. Jaccard J, Wan CK. LISREL approaches to interaction effects in multiple regression. California: SAGE Publications; 1996.
    1. Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. J Struct Equ Model. 2009;9:233-55.

Source: PubMed

3
Abonnieren