Top

Quality of Life Research

Gepubliceerd in:

01-03-2014 | Brief Communication

The Insomnia Severity Index: cross-cultural adaptation and psychometric evaluation of a Persian version

Auteurs: Khosro Sadeghniiat-Haghighi, Ali Montazeri, Ahmad Khajeh-Mehrizi, Saharnaz Nedjat, Omid Aminian

Gepubliceerd in: Quality of Life Research | Uitgave 2/2014

Abstract

Purpose

The main purpose of this study was to describe the cultural adaptation of a Persian version of the Insomnia Severity Index and to evaluate its psychometric properties by testing internal consistency, construct validity, discriminant validity, and concurrent validity.

Methods

Cross-cultural adaptation was carried out according to guidelines and included forward and backward translations, expert committee, and field test. A sample of 1,037 sleep clinic patients filled in a questionnaire package including the Persian version of the Insomnia Severity Index (ISI-P), the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), and the Beck Depression Inventory (BDI). In addition, 624 of these patients were assessed by polysomnography (PSG). A group of 50 members of hospital staff responded to the ISI-P as the control group. Internal consistency with Cronbach’s alpha, construct validity with principal component analysis, discriminant validity with assessing the ISI-P’s ability to differentiate patients from control group and concurrent validity with exploring the spearman correlation with the PSQI, ESS, BDI, and corresponding parameters in PSG were followed to examine the psychometric properties of the ISI-P.

Results

The ISI-P showed acceptable internal consistency (Cronbach’s alpha = 0.78) and a 2-factor solution in factor analysis. The ISI-P discriminated well between patients and control group (15.90 ± 6.12 vs 10.10 ± 5.76, P value <0.001). Items and total score of the ISI-P showed a weak correlation with the corresponding parameters in PSG. The ISI-P total score was significantly correlated with total score of the PSQI (r = 0.74, P value <0.001) and the BDI (r = 0.42, P value <0.001), while it was not significantly correlated with total score of the ESS (r = 0.12, P value = 0.72).

Conclusions

Cross-cultural adaptation was successful, and the ISI-P has good psychometric properties. Using the ISI-P is recommended to evaluate insomnia in research and clinical settings in Persian-speaking people.

vorige artikel Validation of the Polish version of the EORTC QLQ-BM22 module for the assessment of health-related quality of life in patients with bone metastases

volgende artikel Comparative validation of the WOMAC osteoarthritis and Lequesne algofunctional indices in Greek patients with hip or knee osteoarthritis

Alleen toegankelijk voor geautoriseerde gebruikers

Morin, C. M. (1993). Insomnia: Psychological assessment and management. New York: The Guilford Press.

Mellinger, G. D., Balter, M. B., & Uhlenhuth, E. H. (1985). Insomnia and its treatment: Prevalence and correlates. Archives of General Psychiatry, 42, 225–232.PubMedCrossRef

Schramm, E., Hohagen, F., Grasshoff, U., Riemann, D., Hajak, G., Weess, H. G., et al. (1993). Test-retest reliability and validity of the structured interview for sleep disorders according to DSM-III-R. American Journal of Psychiatry, 150, 867–872.

Bastien, C. H., Valli”eres, A., & Morin, C. M. (2001). Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Medicine, 2, 297–307.PubMedCrossRef

Yu, D. S. (2010). Insomnia Severity Index: Psychometric properties with Chinese community-dwelling older people. Journal of Advanced Nursing, 66, 2350–2359.PubMedCrossRef

Savard, M. H., Savard, J., Simard, S., & Ivers, H. (2005). Empirical validation of the Insomnia Severity Index in cancer patients. Psychooncology, 14, 429–441.PubMedCrossRef

Fernandez-Mendoza, J., Rodriguez-Muñoz, A., Vela-Bueno, A., Olavarrieta-Bernardino, S., Calhoun, S. L., Bixler, E. O., et al. (2012). The Spanish version of the Insomnia Severity Index: A confirmatory factor analysis. Sleep Medicine, 13, 207–210.PubMedCrossRef

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25, 3186–3191.PubMedCrossRef

Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research, 28, 193–213.PubMedCrossRef

10.

Farrahi Moghaddam, J., Nakhaee, N., Sheibani, V., Garrusi, B., & Amirkafi, A. (2012). Reliability and validity of the Persian version of the Pittsburgh Sleep Quality Index (PSQI-P). Sleep Breath, 16, 79–82.PubMedCrossRef

11.

Johns, M. W. (1991). A new method for measuring daytime sleepiness: The Epworth sleepiness scale. Sleep, 14, 540–555.PubMed

12.

Sadeghniiat Haghighi, K., Montazeri, A., Khajeh Mehrizi, A., Aminian, O., Rahimi Golkhandan, A., Saraei, M., et al. (2013). The Epworth Sleepiness Scale: Translation and validation study of the Iranian version. Sleep Breath, 17, 419–426.PubMedCrossRef

13.

Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.PubMedCrossRef

14.

Ghassemzadeh, H., Mojtabai, R., Karamghadiri, N., & Ebrahimkhani, N. (2005). Psychometric properties of a Persian-language version of the Beck Depression Inventory, Second edition: BDI-II-PERSIAN. Depress Anxiety, 21, 185–192.PubMedCrossRef

15.

American Sleep Disorders Association. (1997). Practice parameters for the indications for polysomnography and related procedures. Polysomnography Task Force, American Sleep Disorders Association Standards of Practice Committee. Sleep, 20, 406–422.

16.

Iber, C. A.-I. S., Chesson, A. L, Jr, & Quan, S. F. (2007). The AASM manual for the scoring of sleep and associated events, rules, terminology and technical specifications (1st ed.). Westchester: American Academy of Sleep Medicine.

17.

Chung, K. F., Kan, K. K., & Yeung, W. F. (2011). Assessing insomnia in adolescents: Comparison of Insomnia Severity Index, Athens Insomnia Scale and Sleep Quality Index. Sleep Medicine, 12, 463–470.PubMedCrossRef

18.

Morin, C. M., Belleville, G., Bélanger, L., & Ivers, H. (2011). The Insomnia Severity Index: Psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep, 34, 601–608.PubMedCentralPubMed

19.

Reite, M., Buysse, D., Reynolds, C., & Mendelson, W. (1995). The use of polysomnography in the evaluation of insomnia. Sleep, 18, 58–70.PubMed

20.

Baker, F. C., Maloney, S., & Driver, H. S. (1999). A comparison of subjective estimates of sleep with objective polysomnographic data in healthy men and women. Journal of Psychosomatic Research, 47, 335–341.PubMedCrossRef

21.

Bonnet, M. H., & Arand, D. L. (2000). Activity, arousal, and the MSLT in patients with insomnia. Sleep, 23, 205–212.PubMed

Titel: The Insomnia Severity Index: cross-cultural adaptation and psychometric evaluation of a Persian version
Auteurs: Khosro Sadeghniiat-Haghighi
Ali Montazeri
Ahmad Khajeh-Mehrizi
Saharnaz Nedjat
Omid Aminian
Publicatiedatum: 01-03-2014
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 2/2014
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-013-0489-3

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Andere artikelen Uitgave 2/2014

The relationship between negative life events, psychological distress and life satisfaction: a population-based study

Economic evaluation in short bowel syndrome (SBS): an algorithm to estimate utility scores for a patient-reported SBS-specific quality of life scale (SBS-QoL™)

Health-related quality of life (HRQL) in immunodeficient adults with selective IgA deficiency compared with age- and gender-matched controls and identification of risk factors for poor HRQL

How do clinical and psychological variables relate to quality of life in end-stage renal disease? Validating a proximal–distal model

Mokken scaling of the Chinese version of the Medical Outcomes Study Social Support Survey

Use of factor analysis models to evaluate measurement invariance property of the Asthma Control Questionnaire (ACQ)