ArticleSleep & breathing = Schlaf & Atmung2023
Psychometric properties of Indonesian version of sleep condition indicator for screening poststroke insomnia.
Article in Sleep & breathing = Schlaf & Atmung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Global perspectives on the Sleep Condition Indicator for DSM-5 insomnia disorder: a COSMIN and STARD systematic review of psychometric and diagnostic performance.BMC medicine · 2025Pooled it
- Sex Differences in the Prevalence and Correlates of Sleep Disturbance Among Indonesian Stroke Survivors: A Population-Based Study of 7,147 Individuals.F1000Research · 2026Article
- Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.Sleep & breathing = Schlaf & Atmung · 2024Article
- Comparative insomnia prevalence between geriatrics lived in urban and rural areas: a multicenter nationwide study analysis.BMC public health · 2024Article
- A longitudinal examination of the measurement properties and invariance of the Sleep Condition Indicator in Chinese healthcare students.BMC psychiatry · 2024Article
- Assessing insomnia after stroke: a diagnostic validation of the Sleep Condition Indicator in self-reported stroke survivors.BMJ neurology open · 2024Article
- Validity and Reliability of the Turkish Version of the Sleep Condition Indicator: A Clinical Screening Instrument Based on the DSM-5 Criteria for Insomnia.Nature and science of sleep · 2024Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundNo 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.
methodsThis 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.
resultsA 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%).
conclusionThe 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.
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