Validation and the psychometric properties of the Persian version of the sleep quality scale for coronary care patients: a methodological survey

Sleep quality is crucial for recovery in coronary care patients, yet sleep disturbances are prevalent in intensive care settings. This study aimed to validate the Persian version of the Sleep Quality Scale for Coronary Care Patients (SQ-CC-P) in the Iranian population and ensure its psychometric robustness for clinical and research applications. A methodological study was conducted in the Coronary Care Unit (CCU) and heart unit of Imam Khomeini Hospital in Ardabil Province, Iran, from May to September 2024, involving 220 participants diagnosed with acute coronary conditions. The SQ-CC-P, which includes self-assessment and environmental factors, was assessed for content validity, construct validity, and reliability in accordance with COSMIN guidelines. The SQ-CC-P demonstrated strong content validity, with CVI (0.80-0.92), CVR (0.70-1.00), S-CVI/UA (0.85), S-CVI/Ave (0.91), and Adjusted Kappa (0.697) confirming item relevance and necessity. Construct validity was supported by exploratory factor analysis (EFA), which revealed a two-factor structure explaining 62.4% of the variance, and confirmatory factor analysis (CFA), which showed strong factor loadings (0.72-0.82) and excellent model fit. The scale exhibited high internal consistency (Cronbach's alpha = 0.862, McDonald's omega = 0.864) and test-retest reliability (ICC = 0.785, 95% CI [0.718, 0.841]). The SQ-CC-P is a valid and reliable tool for assessing sleep quality among coronary care patients, addressing a critical gap in sleep assessment in intensive care settings.

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Publication Details

Journal
Scientific Reports
Published
2025-04-21
DOI
https://doi.org/10.1038/s41598-025-96728-7
Citations
2
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
4.61

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article

Validation and the psychometric properties of the Persian version of the sleep quality scale for coronary care patients: a methodological survey

Alireza Mirzaei, Reza Nemati‐Vakilabad, Reza Imashi, Roghayeh Yaghoobi Saghezchi et al.
2 citations
Scientific Reports
Health and Well-being Studies
4.61
article

Validation and the psychometric properties of the Persian version of the sleep quality scale for coronary care patients: a methodological survey

Alireza Mirzaei, Reza Nemati‐Vakilabad, Reza Imashi, Roghayeh Yaghoobi Saghezchi, Leili Valizadeh
article en
2 citations

Abstract

Sleep quality is crucial for recovery in coronary care patients, yet sleep disturbances are prevalent in intensive care settings. This study aimed to validate the Persian version of the Sleep Quality Scale for Coronary Care Patients (SQ-CC-P) in the Iranian population and ensure its psychometric robustness for clinical and research applications. A methodological study was conducted in the Coronary Care Unit (CCU) and heart unit of Imam Khomeini Hospital in Ardabil Province, Iran, from May to September 2024, involving 220 participants diagnosed with acute coronary conditions. The SQ-CC-P, which includes self-assessment and environmental factors, was assessed for content validity, construct validity, and reliability in accordance with COSMIN guidelines. The SQ-CC-P demonstrated strong content validity, with CVI (0.80-0.92), CVR (0.70-1.00), S-CVI/UA (0.85), S-CVI/Ave (0.91), and Adjusted Kappa (0.697) confirming item relevance and necessity. Construct validity was supported by exploratory factor analysis (EFA), which revealed a two-factor structure explaining 62.4% of the variance, and confirmatory factor analysis (CFA), which showed strong factor loadings (0.72-0.82) and excellent model fit. The scale exhibited high internal consistency (Cronbach's alpha = 0.862, McDonald's omega = 0.864) and test-retest reliability (ICC = 0.785, 95% CI [0.718, 0.841]). The SQ-CC-P is a valid and reliable tool for assessing sleep quality among coronary care patients, addressing a critical gap in sleep assessment in intensive care settings.

Scientific ReportsVol. 15(1)
Ardabil University of Medical Sciences (IR), Iranshahr University (IR)
Ardabil University of Medical Sciences, Student Research Committee, Tabriz University of Medical Sciences
Openalex Percentile: Top 7%
Health and Well-being Studies
4.61
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