ArticleBehavioral sciences (Basel, Switzerland)2022
Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents.
Article in Behavioral sciences (Basel, Switzerland), 2022. 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, 13 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
- Psychometric and structural properties of the traditional Chinese version of the sleep condition indicator for patients undergoing hemodialysis.Sleep & breathing = Schlaf & Atmung · 2024Article
- A longitudinal examination of the measurement properties and invariance of the Sleep Condition Indicator in Chinese healthcare students.BMC psychiatry · 2024Article
- Assessing psychometric properties and measurement invariance of the Sleep Quality Questionnaire among healthcare students.BMC psychology · 2024Article
- The RU_SATED as a measure of sleep health: cross-cultural adaptation and validation in Chinese healthcare students.BMC psychology · 2023Observational
- Depression and Anxiety Mediate the Association between Sleep Quality and Self-Rated Health in Healthcare Students.Behavioral sciences (Basel, Switzerland) · 2023Article
- Sleep quality and subjective well-being in healthcare students: examining the role of anxiety and depression.Frontiers in public health · 2023Article
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Authors and funding
5 authors at 5 institutions in 5 countries.
Funding
Abstract
backgroundThe study aimed to assess the measurement properties of a simplified Chinese version of the Sleep Condition Indicator (SCI-SC) in the community.
methodsA 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.
resultsBoth 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.
conclusionsThe 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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