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Testing the Reliability and Validity of the Korean Version of the Pittsburgh Sleep Quality Index Using Fitbit Devices: A Cross-Sectional Analysis.
Lee, Si-Yeon; Choi, Ja-Eun; Lee, Ji-Won; Lee, Yaeji; Park, Jae-Min; Hong, Kyung-Won.
Afiliación
  • Lee SY; Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Choi JE; R&D Division, Theragen Health Co. Ltd., Seongnam, Korea.
  • Lee JW; Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Lee Y; Department of Biostatistics and Computing, Yonsei University, Seoul, Korea.
  • Park JM; Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Hong KW; Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea.
Korean J Fam Med ; 2024 Apr 22.
Article en En | MEDLINE | ID: mdl-38644642
ABSTRACT

Background:

Sleep disorders and insomnia are prevalent worldwide, with negative health outcomes. The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report assessment tool for evaluating sleep quality, comprising seven subdomains. The Korean version of the PSQI (PSQI-K) has been tested for reliability and validity in small sample sizes but lacks large-scale validation using objective measures.

Methods:

This study was conducted with 268 Korean adults attending health check programs. Participants completed the PSQI-K questionnaire and wore Fitbit devices (Fitbit Inc., USA) to ascertain sleep parameters. Reliability was analyzed using the Cronbach's α coefficient, and construct validity was determined through factor analysis. Criteria validity was assessed by correlating their index scores with Fitbit sleep parameters. We identified the optimal cutoff for detecting sleep disorders.

Results:

The Cronbach's α coefficient was 0.61, indicating adequate internal consistency. Factor analysis revealed three factors, explaining 48.2% of sleep quality variance. The index scores were negatively correlated with Fitbit sleep efficiency, total sleep time, and number of awakenings (P<0.05). The optimal cutoff point for identifying sleep disorder groups was ≥6.

Conclusion:

The PSQI-K demonstrated good reliability and validity when correlated with Fitbit sleep parameters, offering a practical screening tool for identifying sleep disorders among Korean adults. Cutoff scores can help identify patients for sleep interventions. However, further large-scale studies are required to validate these findings.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Korean J Fam Med Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Korean J Fam Med Año: 2024 Tipo del documento: Article