PDF icon PDF herunterladen
Open Access
CC BY-NC-ND 4.0 · Sleep Sci 2022; 15(01): 68-74
DOI: 10.5935/1984-0063.20210033
ORIGINAL ARTICLE

Psychometric properties of the Turkish version of the Anxiety and Preoccupation about Sleep Questionnaire in clinical and non-clinical samples

Ömer Faruk Uygur 
1   Dr. Ersin Arslan Training and Research Hospital, Gaziantep, Turkey, Department of Psychiatry - Gaziantep - Sahinbey - Turkey.
,
Fatma Özlem Orhan
2   Faculty of Medicine, Kahramanmaras Sütçü Imam University, Kahramanmaras, Turkey, Department of Psychiatry - Kahramanmaras - Avsar Kampüsü - Turkey.
,
Hilal Uygur
1   Dr. Ersin Arslan Training and Research Hospital, Gaziantep, Turkey, Department of Psychiatry - Gaziantep - Sahinbey - Turkey.
,
Ali Kandeger
3   Faculty of Medicine, Selçuk University, Konya, Turkey, Department of Psychiatry - Konya - Selçuklu - Turkey.
,
Onur Hursitoglu
4   Kahramanmaras Necip Fazil City Hospital, Kahramanmaras, Turkey, Department of Psychiatry - Kahramanmaras - Dulkadiroglu - Turkey.
› Institutsangaben
› Weitere Informationen
Auch verfügbar aufeRef
  Lizenzen und Reprints
Preview

ABSTRACT

Objectives: The aim of the study was to investigate the psychometric properties of the Turkish version of Anxiety and preoccupation about sleep questionnaire (APSQ) in clinical and non-clinical samples.

Material and Methods: Two samples (141 university students and 42 patients with major depressive disorders) completed Turkish APSQ, the Pittsburgh sleep quality index (PSQI), the insomnia severity index (ISI) and the sociodemographic data form. Content validity analysis was performed with the Davis technique after the translation process of the original scale. Explanatory factor analysis and principal component analysis were performed to determine the scales construct validity, and internal consistency and temporal stability analyses were conducted to evaluate its reliability. The PSQI and the insomnia severity index (ISI) were used to assess criterion- related validity. In addition, we divided all the participants into two groups as good-sleepers and clinical insomnia according to ISI scores. Predictive validity analyses were also computed via comparing groups.

Results: Confirmatory factor analysis showed that the scale model aligns well with the original scales 10 items and two-factor structure. The scales and subdimensions Cronbach’s alpha coefficients were excellent (Factor 1; 0.935, factor 2; 0.906, total scale; 0.952). The test-retest correlations were 0.661 and 0.828 for depression group and university student group, respectively. Turkish APSQ scores were found to be significantly higher in both of the clinical groups (depression group vs. university student group, clinic insomnia group vs. good-sleepers group).

Conclusion: The Turkish APSQ is adequate reliability and validity for assessing anxiety and preoccupation about sleep in Turkish clinical and non-clinical samples.

Keywords:

Insomnia - anxiety - worry - factor analysis - Anxiety and Preoccupation about Sleep Questionnaire - reliability

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.




Publikationsverlauf

Eingereicht: 10. Februar 2021

Angenommen: 24. Mai 2021

Artikel online veröffentlicht:
01. Dezember 2023

© 2022. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil

 

  • REFERENCES

  • 1 American Psychiatric Association (APA). Diagnostic and statistical manual of mental disorders. 5th ed. Washington: APA; 2013.
  • 2 American Academy of Sleep Medicine (AASM). International classification of sleep disorders. 3rd ed. Darien: AASM; 2014.
  • 3 Morin CM, Drake CL, Harvey AG, Krystal AD, Manber R, Riemann D, et al. Insomnia disorder. Nat Rev Dis Primers. 2015;1:15026.
  • 4 Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev. 2002 Apr;6(2):97-111.
  • 5 Harvey AG. A cognitive model of insomnia. Behav Res Ther. 2002;40:869-93.
  • 6 Espie CA. Insomnia: conceptual issues in the development, persistence, and treatment of sleep disorder in adults. Annu Rev Psychol. 2002;53:215-43.
  • 7 Harvey AG, Sharpley AL, Ree MJ, Stinson K, Clark DM. An open trial of cognitive therapy for chronic insomnia. Behav Res Ther. 2007;45(10):2491-501.
  • 8 Riemann D, Spiegelhalder K, Feige B, Voderholzer U, Berger M, Perlis M, et al. The hyperarousal model of insomnia: a review of the concept and its evidence. Sleep Med Rev. 2010 Feb;14(1):19-31.
  • 9 Roehrs T, Roth T. Sleep, sleepiness and alcohol use. Alcohol Res Health. 2001;25(2):101-9.
  • 10 Kaplan KA, Talbot LS, Harvey AG. Cognitive mechanisms in chronic insomnia: processes and prospects. Sleep Med Clin. 2009;4(4):541-8.
  • 11 Nicassio PM, Mendlowitz DR, Fussell JJ, Petras L. The phenomenology of the pre-sleep state: the development of the pre-sleep arousal scale. Behav Res Ther. 1985;23(3):263-71.
  • 12 Ree MJ, Harvey AG, Blake R, Tang NKY, Shawe-Taylor M. Attempts to control unwanted thoughts in the night: development of the thought control questionnaire-insomnia revised. Behav Res Ther. 2005 Aug;43(8):985-98.
  • 13 Kallestad H, Hansen B, Langsrud K, Hjemdal O, Stiles TC. Psychometric properties and the predictive validity of the insomnia daytime worry scale: a pilot study. Cogn Behav Ther. 2010;39(2):150-7.
  • 14 Tang NKY, Harvey AG. Correcting distorted perception of sleep in insomnia: a novel behavioural experiment?. Behav Res Ther. 2004;42(1):27-39.
  • 15 Jansson-Fröjmark M, Harvey AG, Lundh LG, Norell-Clarke A, Linton SJ. Psychometric properties of an insomnia-specific measure of worry: the anxiety and preoccupation about sleep questionnaire. Cogn Behav Ther. 2011;40(1):65-76.
  • 16 Lundh LG, Broman JE. Insomnia as an interaction between sleep-interfering and sleep-interpreting processes. J Psychosom Res. 2000 Nov;49(5):299-310.
  • 17 Jansson-Fröjmark M, Sunnhed R. Psychometric properties of two brief versions of cognitive, insomnia- specific measures: the anxiety and preoccupation about sleep questionnaire and the sleep-associated monitoring index. Psychol Rep. 2019 Jun;123(3):966-82.
  • 18 Rubio DM, Berg-Weger M, Tebb SS, Lee ES, Rauch S. Objectifying content validity: conducting a content validity study in social work research. Soc Work Res. 2003;27(2):94-104.
  • 19 Bastien C, Vallières A, Morin C. Validation of the insomnia severity index as an outcome measure for insomnia research. Sleep Med. 2001 Jul;2(4):297-307.
  • 20 Boysan M, Gülec M, Besiroglu, Kalafat T. Psychometric properties of the insomnia severity index in Turkish sample. Anatol J Psychiatry. 2010;11:248-52.
  • 21 Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213.
  • 22 Agargün MY, Kara H, Anlar O. The validity and reliability of the Pittsburgh sleep quality index. Turk Psikiyatr Derg. 1996;7:107-15.
  • 23 George D, Mallery P. SPSS for Windows step by step. A simple study guide and reference 10th ed. Boston: Pearson Education; 2010.
  • 24 Kaiser HF. A second generation little jiffy. Psychometrika.1970;35:401-15.
  • 25 Bartlett MS. A note on the multiplying factors for various chi square approximations. J Roy Stat Soc. 1954;16:296-98.
  • 26 Byrne BM. Structural equation modeling with AMOS: basic concepts, applications, and programming. New York: Routledge; 2010.
  • 27 Kline RB. Principles and practice of structural equation modeling. 4th ed. New York: Guilford Press; 2015.
  • 28 Byrne BM. Structural equation modeling with Mplus: basic concepts, applications, and programming. New York: Routledge; 2011.
  • 29 Aydemir Ö. Assessment tools in psychiatry: characteristics, types, usage clinical scales used in psychiatry. 4th ed. Ankara: HYB Press; 2009.
  • 30 Tavsancil E. Measurement of attitudes and data analysis with SPSS. 4th ed. Ankara: Nobel Press; 2010.
  • 31 Gulec M, Ozcan H, Oral E, Selvi Y, Aydin A. The relationship between insomnia and major depressive disorder: a chicken and egg situation?. Psychiatry Behav Sci. 2012;2(1):28-33.