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28.02.2023 | Psychiatrics • Original Article

Psychometric properties of Indonesian version of sleep condition indicator for screening poststroke insomnia

verfasst von: Faizul Hasan, Amelia Nur Vidyanti, Pei-Shan Tsai, Dean Wu, Hsin-Chien Lee, Lia Taurussia Yuliana, Debby Syahru Romadlon, Ollyvia Freeska Dwi Marta, Hsiao-Yean Chiu

Erschienen in: Sleep and Breathing | Ausgabe 5/2023

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Abstract

Background

No study has examined the psychometric properties of the sleep condition indicator (SCI) for screening poststroke insomnia in the Indonesian population. We aimed to develop the Indonesian version of the sleep condition indicator (ISCI) and to examine its psychometric properties for screening adult patients in late sub-acute and chronic periods after stroke.

Methods

This was a cross-sectional study with two stages. In the first stage, the English version of the SCI was translated into the ISCI using standard procedures. The psychometric properties of the ISCI were tested in the second stage. Internal consistency and test–retest reliability of ISCI were used to evaluate reliability. A confirmatory factor analysis (CFA) was performed to test construct validity. To test concurrent and convergent validity, the Indonesian version of the insomnia severity index (ISI-INA), generalized anxiety disorder questionnaire (IGAD-7), and patient health questionnaire (IPHQ-9) were used. A receiver operating characteristic (ROC) analysis was conducted to calculate the optimal cutoff score of the ISCI on the basis of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic criteria for insomnia.

Results

A total of 160 adults with a diagnosis of stroke for more than 3 months were included (median age of 58.5 years, 31% met the DSM-5 criteria for insomnia). The ISCI had a satisfactory Cronbach’s alpha of 0.89 and test–retest reliability of 0.78. The CFA revealed that the ISCI exhibited a satisfactory model fit and was associated with the ISI-INA, IGAD-7, and IPHQ-9 (r = −0.81, −0.32, and −0.52, respectively; all P < .001). The ROC test revealed that the optimal cutoff point of ≤23 yielded the highest sensitivity (94%) and specificity (97%).

Conclusion

The study results revealed that the 8-item ISCI is a reliable and valid screening tool for detecting insomnia symptoms according to the DSM-5 criteria in the chronic period after stroke.

Nur mit Berechtigung zugänglich

Hasan F, Gordon C, Wu D, Huang H-C, Yuliana LT, Susatia B et al (2021) Dynamic prevalence of sleep disorders following stroke or transient ischemic attack: systematic review and meta-analysis. Stroke 52(2):655–63PubMedCrossRef

Baylan S, Griffiths S, Grant N, Broomfield NM, Evans JJ, Gardani M (2020) Incidence and prevalence of post-stroke insomnia: a systematic review and meta-analysis. Sleep Med Rev 49:101222PubMedCrossRef

American Psychiatric Association D, American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders: DSM-5 (vol. 5, no. 5). Washington, DC: American Psychiatric Association

Iddagoda MT, Inderjeeth CA, Chan K, Raymond WD (2020) Post-stroke sleep disturbances and rehabilitation outcomes: a prospective cohort study. Intern Med J 50(2):208–13PubMedCrossRef

Matas A, Amaral L, Patto AV (2022) Is post-ischemic stroke insomnia related to a negative functional and cognitive outcome? Sleep Med 94:1–7PubMedCrossRef

Tang W-K, Grace Lau C, Mok V, Ungvari GS, Wong K-S (2015) Insomnia and health-related quality of life in stroke. Top Stroke Rehabil 22(3):201–7PubMedCrossRef

Wang L, Tao Y, Chen Y, Wang H, Zhou H, Fu X (2016) Association of post stroke depression with social factors, insomnia, and neurological status in Chinese elderly population. Neurol Sci 37(8):1305–10PubMedCrossRef

Zhao Y, Hu B, Liu Q, Wang Y, Zhao Y, Zhu X (2022) Social support and sleep quality in patients with stroke: The mediating roles of depression and anxiety symptoms. Int J Nurs Pract 28(3):e12939PubMedCrossRef

Silva LC, Silva A, Rangel MFDA, Caetano LCG, Teixeira-Salmela LF, Scianni AA (2021) Depressive symptoms and functional status are associated with sleep quality after stroke. Top Stroke Rehabil 28(8):573–80PubMedCrossRef

10.

Talero-Gutiérrez C, Moreno C, González-Reyes R, Palacios L, de la Peña F, Muñoz-Delgado J (2008) Sleep evaluation scales and questionnaires: a review. Actas Esp Psiquiatr 36(1):50–9PubMed

11.

Soldatos CR, Dikeos DG, Paparrigopoulos TJ (2000) Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. J Psychosom Res 48(6):555–60PubMedCrossRef

12.

Buysse DJ, Ancoli-Israel S, Edinger JD, Lichstein KL, Morin CM (2006) Recommendations for a standard research assessment of insomnia. Sleep 29(9):1155–73PubMedCrossRef

13.

Bastien CH, Vallières A, Morin CM (2001) Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med 2(4):297–307PubMedCrossRef

14.

Chiu H-Y, Chang L-Y, Hsieh Y-J, Tsai P-S (2016) A meta-analysis of diagnostic accuracy of three screening tools for insomnia. J Psychosom Res 87:85–92PubMedCrossRef

15.

Espie CA, Kyle SD, Hames P, Gardani M, Fleming L, Cape J (2014) The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder. BMJ Open 4(3):e004183PubMedPubMedCentralCrossRef

16.

Espie CA, Farias Machado P, Carl JR, Kyle SD, Cape J, Siriwardena AN et al (2018) The Sleep Condition Indicator: reference values derived from a sample of 200 000 adults. J Sleep Res 27(3):e12643PubMedCrossRef

17.

Luik AI, Machado PF, Siriwardena N, Espie CA (2019) Screening for insomnia in primary care: using a two-item version of the Sleep Condition Indicator. Br J Gen Pract 69(679):79–80PubMedPubMedCentralCrossRef

18.

Espie CA, Kyle SD, Hames P, Cyhlarova E, Benzeval M (2012) The daytime Impactof DSM-5 insomnia disorder: comparative analysis of insomnia subtypes from the great British sleep survey. J Clin Psychiatry 73(12):4027

19.

Palagini L, Ragno G, Caccavale L, Gronchi A, Terzaghi M, Mauri M et al (2015) Italian validation of the Sleep Condition Indicator: A clinical screening tool to evaluate Insomnia Disorder according to DSM-5 criteria. Int J Psychophysiol 98(3):435–40PubMedCrossRef

20.

Bayard S, Lebrun C, Maudarbocus KH, Schellaert V, Joffre A, Ferrante E et al (2017) Validation of a French version of the Sleep Condition Indicator: a clinical screening tool for insomnia disorder according to DSM-5 criteria. J Sleep Res 26(6):702–8PubMedCrossRef

21.

Bayard S, Lebrun C, Arifi-Rossignol A, Geny C, Gély-Nargeot M-C, Luik AI (2021) Diagnostic Validity of the Sleep Condition Indicator to Screen for Diagnostic and Statistical Manual-5 Insomnia Disorder in Patients with Parkinson’s Disease. Eur Neurol 84(5):333–9PubMedCrossRef

22.

Wong ML, Lau KNT, Espie CA, Luik AI, Kyle SD, Lau EYY (2017) Psychometric properties of the Sleep Condition Indicator and Insomnia Severity Index in the evaluation of insomnia disorder. Sleep Med 33:76–81PubMedCrossRef

23.

Hellström A, Hagell P, Broström A, Ulander M, Luik AI, Espie CA et al (2019) A classical test theory evaluation of the Sleep Condition Indicator accounting for the ordinal nature of item response data. Plos one 14(3):e0213533PubMedPubMedCentralCrossRef

24.

Jones PS, Lee JW, Phillips LR, Zhang XE, Jaceldo KB (2001) An adaptation of Brislin’s translation model for cross-cultural research. Nurs Res 50(5):300–4PubMedCrossRef

25.

Anthoine E, Moret L, Regnault A, Sébille V, Hardouin J-B (2014) Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health Qual Life Outcomes 12(1):1–10CrossRef

26.

Charlson M, Pompei P, Ales KL, Mckenzie CR (1987) A new method of classyfing prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 40(5):373–83PubMedCrossRef

27.

Michaud AL, Zhou ES, Chang G, Recklitis CJ (2021) Validation of the Insomnia Severity Index (ISI) for identifying insomnia in young adult cancer survivors: comparison with a structured clinical diagnostic interview of the DSM-5 (SCID-5). Sleep Med 81:80–5PubMedPubMedCentralCrossRef

28.

Swanenghyun G (2015) Validitas dan reliabilitas alat ukur Insomnia Severity Index Versi Indonesia (ISI-INA) pada remaja jalanan di Yogyakarta. Dissertation, Universitas Gadjah Mada

29.

Kroenke K, Spitzer RL, Williams JB (2003) The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care 41:1284–92PubMedCrossRef

30.

Kroenke K, Spitzer RL, Williams JB (2001) The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 16(9):606–13PubMedPubMedCentralCrossRef

31.

Kroenke K, Spitzer RL (2002) The PHQ-9: a new depression diagnostic and severity measure. Psychiatric Ann 32(9):509–15CrossRef

32.

Williams LS, Brizendine EJ, Plue L, Bakas T, Tu W, Hendrie H et al (2005) Performance of the PHQ-9 as a screening tool for depression after stroke. Stroke 36(3):635–8PubMedCrossRef

33.

Onie S, Kirana AC, Mustika NP, Adesla V, Ibrahim R (2020) Assessing the Predictive Validity and Reliability of the DASS-21, PHQ-9 and GAD-7 in an Indonesian SampleCrossRef

34.

Kroenke K, Spitzer RL, Williams JB, Monahan PO, Löwe B (2007) Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med 146(5):317–25PubMedCrossRef

35.

Plummer F, Manea L, Trepel D, McMillan D (2016) Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. Gen hosp Psychiatry 39:24–31PubMedCrossRef

36.

R Core Team R (2013) R: A language and environment for statistical computing. R foundation for statistical computing Vienna, Austria

37.

Jm B, Altman D (1997) Statistics notes: Cron bach’s alpha. BmJ 314:572CrossRef

38.

Weir JP (2005) Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 19(1):231–40PubMed

39.

Fleiss J (1986) The design and analysis of clinical experiments. John Willey and Sons. Acta Physiol Scand, New York

40.

Rosseel Y (2012) lavaan: An R package for structural equation modeling. J Stat Softw 48:1–36CrossRef

41.

Brown TA (2015) Confirmatory factor analysis for applied research. Guilford publications, New York

42.

Schumacker E, Lomax G (2016) A Beginner’s Guide to Structural Equation Modelling, 4th edn. Routledge, London

43.

Hooper D, Coughlan J, Mullen M (2008) Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 6:53–60

44.

Hu Lt, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling Multidiscip J 6(1):1–55CrossRef

45.

Mandrekar JN (2010) Receiver operating characteristic curve in diagnostic test assessment. J Thorac Oncol 5(9):1315–6PubMedCrossRef

46.

Bewick V, Cheek L, Ball J (2004) Statistics review 13: receiver operating characteristic curves. Crit Care 8(6):1–5CrossRef

47.

Yang B (2005) Factor analysis methods. Research in organizations: Foundations and methods of inquiry. pp 181–199

48.

McArdle JJ (1996) Current directions in structural factor analysis. Curr Dir Psychol Sci 5(1):11–8CrossRef

49.

Kääriäinen M, Kanste O, Elo S, Pölkki T, Miettunen J, Kyngäs H (2011) Testing and verifying nursing theory by confirmatory factor analysis. J Adv Nurs 67(5):1163–72PubMedCrossRef

50.

Wolf EJ, Harrington KM, Clark SL, Miller MW (2013) Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educ Psychol Meas 73(6):913–34CrossRef

51.

Barakat S, Abujbara M, Banimustafa R, Batieha A, Ajlouni K (2019) Sleep quality in patients with type 2 diabetes mellitus. J Clin Med Res 11(4):261PubMedPubMedCentralCrossRef

52.

Tzeng JI, Fu Y-W, Lin C-C (2012) Validity and reliability of the Taiwanese version of the Pittsburgh Sleep Quality Index in cancer patients. Int J Nurs Stud 49(1):102–8PubMedCrossRef

53.

Sohn SI, Kim DH, Lee MY, Cho YW (2012) The reliability and validity of the Korean version of the Pittsburgh Sleep Quality Index. Sleep Breath 16(3):803–12PubMedCrossRef

54.

Glozier N, Moullaali TJ, Sivertsen B, Kim D, Mead G, Jan S et al (2017) The course and impact of poststroke insomnia in stroke survivors aged 18 to 65 years: results from the Psychosocial Outcomes In StrokE (POISE) Study. Cerebrovasc Dis Extra 7(1):9–20PubMedPubMedCentralCrossRef

55.

Kwakkel G, Buma F, Selzer M (2014) Understanding mechanisms underlying recovery after stroke. Textbook of Neural Repair and NeuroRehabilitation. pp 7–25CrossRef

56.

Ohayon MM, Sagales T (2010) Prevalence of insomnia and sleep characteristics in the general population of Spain. Sleep Med 11(10):1010–8PubMedCrossRef

57.

Khaled SM, Petcu C, Al-Thani MA, Al-Hamadi AMH, Daher-Nashif S, Zolezzi M et al (2021) Prevalence and associated factors of DSM-5 insomnia disorder in the general population of Qatar. BMC Psychiatry 21(1):1–10CrossRef

58.

Ohayon MM (2002) Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev 6(2):97–111PubMedCrossRef

Titel: Psychometric properties of Indonesian version of sleep condition indicator for screening poststroke insomnia
verfasst von: Faizul Hasan
Amelia Nur Vidyanti
Pei-Shan Tsai
Dean Wu
Hsin-Chien Lee
Lia Taurussia Yuliana
Debby Syahru Romadlon
Ollyvia Freeska Dwi Marta
Hsiao-Yean Chiu
Publikationsdatum: 28.02.2023
Verlag: Springer International Publishing
Erschienen in: Sleep and Breathing / Ausgabe 5/2023
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI: https://doi.org/10.1007/s11325-023-02797-1

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Psychometric properties of Indonesian version of sleep condition indicator for screening poststroke insomnia