A multicountry study on the psychometric properties of the Arabic version of the Sleep Preoccupation Scale (SPS) using both classical testing theory and item response theory.


Journal

BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676

Informations de publication

Date de publication:
08 Oct 2024
Historique:
received: 17 06 2024
accepted: 25 09 2024
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 9 10 2024
Statut: epublish

Résumé

Sleep distrurbances involves daytime preoccupation about sleep, which plays a critical role in perpetuating sleep disturbances. Recent cognitive models highlight the importance of daytime processes, like processing sleep-related information and interpretations during waking hours, in influencing sleep quality and quantity. The Sleep Preoccupation Scale (SPS) quantifies this daytime cognitive activity related to sleep. This study aimed to translate and validate an Arabic version of the SPS for assessing sleep preoccupation among Arabic speakers. 523 Arabic speakers (mean age 23.6 years, 75% female) from four countries completed the Arabic SPS alongside the Athens Insomnia Scale, Generalized Anxiety Disorder-7 Scale, and the Anxiety and Preoccupation about Sleep Questionnaire (APSQ). The sample repeated the SPS after two weeks for test-retest reliability. Confirmatory factor analysis evaluated the SPS's two-factor structure. Internal consistency, item response theory, and convergent validity with the other scales were examined. Confirmatory factor analysis supported the two-factor model's fit. Measurement invariance results suggest that the SPS exhibits a similar basic factor structure across both insomnia and non-insomnia groups. The Arabic SPS demonstrated good internal consistency (Cronbach's α = 0.92, McDonald's ω = 0.92) and two-way mixed effects, consistency, single rater/measurement intraclass correlation coefficient (ICC) test-retest reliability (ICC = 0.95). Most items exhibited satisfactory item response theory fit statistics and discrimination. The SPS total score showed strong positive correlations with insomnia severity (r = 0.48, p < 0.001), generalized anxiety (r = 0.57, p < 0.001), and sleep-related anxiety/preoccupation (r = 0.79, p < 0.001), demonstrating convergent validity. The Arabic version of the SPS demonstrated good psychometric properties and validity, supporting its use for assessing sleep preoccupation among Arabic speakers. This culturally-adapted version enhances sleep assessment capabilities for improving insomnia understanding and treatment within Arabic-speaking populations.

Sections du résumé

BACKGROUND BACKGROUND
Sleep distrurbances involves daytime preoccupation about sleep, which plays a critical role in perpetuating sleep disturbances. Recent cognitive models highlight the importance of daytime processes, like processing sleep-related information and interpretations during waking hours, in influencing sleep quality and quantity. The Sleep Preoccupation Scale (SPS) quantifies this daytime cognitive activity related to sleep. This study aimed to translate and validate an Arabic version of the SPS for assessing sleep preoccupation among Arabic speakers.
METHODS METHODS
523 Arabic speakers (mean age 23.6 years, 75% female) from four countries completed the Arabic SPS alongside the Athens Insomnia Scale, Generalized Anxiety Disorder-7 Scale, and the Anxiety and Preoccupation about Sleep Questionnaire (APSQ). The sample repeated the SPS after two weeks for test-retest reliability. Confirmatory factor analysis evaluated the SPS's two-factor structure. Internal consistency, item response theory, and convergent validity with the other scales were examined.
RESULTS RESULTS
Confirmatory factor analysis supported the two-factor model's fit. Measurement invariance results suggest that the SPS exhibits a similar basic factor structure across both insomnia and non-insomnia groups. The Arabic SPS demonstrated good internal consistency (Cronbach's α = 0.92, McDonald's ω = 0.92) and two-way mixed effects, consistency, single rater/measurement intraclass correlation coefficient (ICC) test-retest reliability (ICC = 0.95). Most items exhibited satisfactory item response theory fit statistics and discrimination. The SPS total score showed strong positive correlations with insomnia severity (r = 0.48, p < 0.001), generalized anxiety (r = 0.57, p < 0.001), and sleep-related anxiety/preoccupation (r = 0.79, p < 0.001), demonstrating convergent validity.
CONCLUSION CONCLUSIONS
The Arabic version of the SPS demonstrated good psychometric properties and validity, supporting its use for assessing sleep preoccupation among Arabic speakers. This culturally-adapted version enhances sleep assessment capabilities for improving insomnia understanding and treatment within Arabic-speaking populations.

Identifiants

pubmed: 39380127
doi: 10.1186/s40359-024-02038-4
pii: 10.1186/s40359-024-02038-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

542

Informations de copyright

© 2024. The Author(s).

Références

Medic G, Wille M, Hemels ME. Short-and long-term health consequences of sleep disruption. Nat Sci Sleep 2017:151–61.
Garbarino S, Lanteri P, Durando P, Magnavita N, Sannita WG. Co-morbidity, mortality, quality of life and the healthcare/welfare/social costs of disordered sleep: a rapid review. Int J Environ Res Public Health. 2016;13(8):831.
doi: 10.3390/ijerph13080831 pubmed: 27548196 pmcid: 4997517
Reimer MA, Flemons WW. Quality of life in sleep disorders. Sleep Med Rev. 2003;7(4):335–49.
doi: 10.1053/smrv.2001.0220 pubmed: 14505600
Harvey AG. A cognitive theory and therapy for chronic insomnia. J Cogn Psychother. 2005;19(1):41–59.
doi: 10.1891/jcop.19.1.41.66332
Harvey AG. A cognitive model of insomnia. Behav Res Ther. 2002;40(8):869–93.
doi: 10.1016/S0005-7967(01)00061-4 pubmed: 12186352
Hiller RM, Johnston A, Dohnt H, Lovato N, Gradisar M. Assessing cognitive processes related to insomnia: a review and measurement guide for Harvey’s cognitive model for the maintenance of insomnia. Sleep Med Rev. 2015;23:46–53.
doi: 10.1016/j.smrv.2014.11.006 pubmed: 25645129
Ellis J, Mitchell K, Hogh H. Sleep preoccupation in poor sleepers: psychometric properties of the Sleep Preoccupation Scale. J Psychosom Res. 2007;63(6):579–85.
doi: 10.1016/j.jpsychores.2007.07.011 pubmed: 18061747
Jansson-Frojmark 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.
doi: 10.1080/16506073.2010.538432 pubmed: 21337216
Espie CA. Insomnia: conceptual issues in the development, persistence, and treatment of sleep disorder in adults. Annu Rev Psychol. 2002;53:215–43.
doi: 10.1146/annurev.psych.53.100901.135243 pubmed: 11752485
Gregoire J. ITC guidelines for translating and adapting tests. Int J Test. 2018;18(2):101–34.
doi: 10.1080/15305058.2017.1398166
Son J. Back translation as a documentation tool. Translation Interpreting the. 2018;10(2):89–100.
doi: 10.12807/ti.110202.2018.a07
Hussain NM, AlMansouri DH, AlGhareeb M, Almutawa YM, Bucheeri OK, Helmy M, Trabelsi K, Saif Z, Jahrami H. Translating and validating the hoarding rating scale-self report into Arabic. BMC Psychol. 2023;11(1):233.
doi: 10.1186/s40359-023-01277-1 pubmed: 37587535 pmcid: 10433611
Trabelsi K, Almarzooqi MA, Aljaloud KS, Ghazzawi HA, Alenezi AF, Salem A, Kerkeni M, Kerkeni M, Chtourou H, Ammar A, et al. Adapting the athlete sleep behavior questionnaire (ASBQ) for arabic-speaking populations: translation, reliability testing, and validation using classical theory and item response theory. Sleep Med. 2024;119:267–75.
doi: 10.1016/j.sleep.2024.04.037 pubmed: 38710132
AlMashouk Y, Abu-Saleh SY, Ghazzawi H, Trabelsi K, Jahrami H. Translating and establishing the psychometric properties of the Jenkins Sleep Scale for Arabic-speaking individuals. BMC Psychiatry. 2024;24(1):236.
doi: 10.1186/s12888-024-05714-2 pubmed: 38549105 pmcid: 10976800
Alghamdi AA, Abu-Saleh SY, Almohaya YA, Alamri HK, Ghazzawi H, Trabelsi K, Saif Z, BaHammam AS, Pandi-Perumal SR, Jahrami H. Examining the reliability and validity of the arabic version of the Glasgow Sleep Effort Scale (GSES). Sleep Breath. 2024;28(4):1831–8.
doi: 10.1007/s11325-024-03053-w pubmed: 38735910
Alghamdi AA, Abanumai AA, Althobaiti MF, Alzahrani MS, Abu-Saleh SY, Ammar A, Ghazzawi H, Trabelsi K, Bragazzi N, BaHammam AS, et al. The Psychometric properties of the Arabic Version of the anxiety and preoccupation about Sleep Questionnaire (APSQ). Nat Sci Sleep. 2024;16:75–83.
doi: 10.2147/NSS.S449354 pubmed: 38322015 pmcid: 10846094
Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):1092–7.
doi: 10.1001/archinte.166.10.1092 pubmed: 16717171
Rutter LA, Brown TA. Psychometric properties of the generalized anxiety disorder scale-7 (GAD-7) in outpatients with anxiety and mood disorders. J Psychopathol Behav Assess. 2017;39:140–6.
doi: 10.1007/s10862-016-9571-9 pubmed: 28260835
Sawaya H, Atoui M, Hamadeh A, Zeinoun P, Nahas Z. Adaptation and initial validation of the Patient Health Questionnaire – 9 (PHQ-9) and the generalized anxiety disorder – 7 questionnaire (GAD-7) in an arabic speaking Lebanese psychiatric outpatient sample. Psychiatry Res. 2016;239:245–52.
doi: 10.1016/j.psychres.2016.03.030 pubmed: 27031595
Okajima I, Miyamoto T, Ubara A, Omichi C, Matsuda A, Sumi Y, Matsuo M, Ito K, Kadotani H. Evaluation of severity levels of the Athens Insomnia scale based on the criterion of insomnia severity index. Int J Environ Res Public Health. 2020;17(23):8789.
doi: 10.3390/ijerph17238789 pubmed: 33256097 pmcid: 7730071
Okajima I, Nakajima S, Kobayashi M, Inoue Y. Development and validation of the J apanese version of the A thens I nsomnia S cale. J Neuropsychiatry Clin Neurosci. 2013;67(6):420–5.
Jahrami H, Trabelsi K, Saif Z, Manzar MD, BaHammam AS, Vitiello MV. Reliability generalization meta-analysis of the Athens Insomnia Scale and its translations: examining internal consistency and test-retest validity. Sleep Med. 2023;111:133–45.
doi: 10.1016/j.sleep.2023.09.015 pubmed: 37776584
Kline RB. Principles and practice of structural equation modeling (3. Baskı). New York, NY: Guilford 2011, 14:1497–1513.
Hu Lt, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equation Modeling: Multidisciplinary J. 1999;6(1):1–55.
doi: 10.1080/10705519909540118
Hu L-T, Bentler PM. Evaluating model fit. 1995.
Van De Schoot R, Schmidt P, De Beuckelaer A, Lek K, Zondervan-Zwijnenburg M. Measurement invariance. Volume 6. Frontiers Media SA; 2015. p. 1064.
Shrestha N. Factor analysis as a tool for survey analysis. Am J Appl Math Stat. 2021;9(1):4–11.
doi: 10.12691/ajams-9-1-2
Chenani KT, Madadizadeh F. Guideline for selecting types of reliability and suitable intra-class correlation coefficients in clinical research. J Biostatistics Epidemiol 2021.
Koo TK, Li MY. A Guideline of selecting and reporting Intraclass correlation coefficients for Reliability Research. J Chiropr Med. 2016;15(2):155–63.
doi: 10.1016/j.jcm.2016.02.012 pubmed: 27330520 pmcid: 4913118
De Ayala RJ. Item response theory and Rasch modeling. The reviewer’s guide to quantitative methods in the social sciences. 2nd ed. New York, NY, US: Routledge/Taylor & Francis Group; 2019. pp. 145–63.
Krabbe PFM. Chap. 7 - Validity. In: The Measurement of Health and Health Status. edn. Edited by Krabbe PFM. San Diego: Academic Press; 2017: 113–134.
Morin CM, Jarrin DC. Epidemiology of Insomnia: prevalence, course, risk factors, and Public Health Burden. Sleep Med Clin. 2022;17(2):173–91.
doi: 10.1016/j.jsmc.2022.03.003 pubmed: 35659072
Morin CM, Buysse DJ. Management of Insomnia. N Engl J Med. 2024;391(3):247–58.
doi: 10.1056/NEJMcp2305655 pubmed: 39018534

Auteurs

Salma Yasser Abu-Saleh (SY)

Department Nutrition and Food Technology, Jordan University of Science and Technology, Irbid, Jordan.

Wajiha Irsheid (W)

Department Nutrition and Food Technology, Agriculture School, The University of Jordan, Amman, Jordan.

Waqar Husain (W)

Department of Humanities, COMSATS University Islamabad, Islamabad Campus, Park Road, Islamabad, Pakistan.

Achraf Ammar (A)

Department of Training and Movement Science, Institute of Sport Science, Johannes Gutenberg- University Mainz, 55099, Mainz, Germany.
Research Laboratory, Molecular Bases of Human Pathology, LR19ES13, Faculty of Medicine of Sfax, University of Sfax, Sfax , 3029, Tunisia.

Hadeel Ghazzawi (H)

Department Nutrition and Food Technology, Agriculture School, The University of Jordan, Amman, Jordan.

Khaled Trabelsi (K)

High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, 3000, Tunisia.
Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax, 3000, Tunisia.

Ahmed S BaHammam (AS)

The University Sleep Disorders Center, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.

Zahra Saif (Z)

Government Hospitals, Manama, Bahrain.

Amir Pakpour (A)

Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping 55318, Sweden. amir.pakpour@ju.se.

Haitham Jahrami (H)

Government Hospitals, Manama, Bahrain. haitham.jahrami@outlook.com.
Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain. haitham.jahrami@outlook.com.

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