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Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents.
Meng, Runtang; Lau, Esther Yuet Ying; Spruyt, Karen; Miller, Christopher B; Dong, Lu.
Afiliación
  • Meng R; School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
  • Lau EYY; Sleep Laboratory, Department of Psychology, The Education University of Hong Kong, Hong Kong 999077 China.
  • Spruyt K; Centre for Psychosocial Health, The Education University of Hong Kong, Hong Kong 999077, China.
  • Miller CB; Centre for Religious and Spirituality Education, The Education University of Hong Kong, Hong Kong 999077, China.
  • Dong L; Université de Paris, NeuroDiderot, INSERM, 75019 Paris, France.
Behav Sci (Basel) ; 12(11)2022 Nov 03.
Article en En | MEDLINE | ID: mdl-36354410
BACKGROUND: The study aimed to assess the measurement properties of a simplified Chinese version of the Sleep Condition Indicator (SCI-SC) in the community. METHODS: A psychometric evaluation through an observational cross-sectional survey design was conducted. Community residents (N = 751) in Hangzhou, China completed the SCI-SC and the simplified Chinese version of the Sleep Quality Questionnaire (SQQ) in July 2021. Data were randomly split into a development sample (N = 375) for model development by exploratory factor analysis (EFA) and a holdout sample (N = 376) for validation by confirmatory factor analysis (CFA). Multi-group CFA (MGCFA) was used to assess configural, metric, scalar, and strict measurement invariance across gender, age, marital status, body mass index (BMI), napping habits, generic exercise, hobby, and administered survey. Moreover, statistical analyses were performed to determine the reliability (alpha and omega) and construct validity of the instrument. RESULTS: Both factor analyses showed a stable solution with two dimensions of Sleep Pattern and Sleep-Related Impact. Good structural validity, robust internal consistency, and construct validity with the SQQ were demonstrated. There was evidence of strict invariance across gender, BMI, napping habits, generic exercise, hobby, and administered survey subgroups, but only metric and scalar invariances were established across age and marital status groups, respectively. CONCLUSIONS: The SCI-SC demonstrated promising psychometric properties, with high SQQ concordance and consistent structure of the original version. The SCI-SC can be used by sleep researchers as well as healthcare professionals in various contexts in detecting risks for insomnia disorder in the community.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Behav Sci (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Behav Sci (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza