Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents
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 Hangz...
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| Format: | Article |
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MDPI AG
2022-11-01
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| Series: | Behavioral Sciences |
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| Online Access: | https://www.mdpi.com/2076-328X/12/11/433 |
| _version_ | 1797469093767413760 |
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| author | Runtang Meng Esther Yuet Ying Lau Karen Spruyt Christopher B. Miller Lu Dong |
| author_facet | Runtang Meng Esther Yuet Ying Lau Karen Spruyt Christopher B. Miller Lu Dong |
| author_sort | Runtang Meng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T19:16:34Z |
| format | Article |
| id | doaj.art-d3a0b4f57fc943268be1f014fd06195d |
| institution | Directory Open Access Journal |
| issn | 2076-328X |
| language | English |
| last_indexed | 2024-03-09T19:16:34Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj.art-d3a0b4f57fc943268be1f014fd06195d2023-11-24T03:45:42ZengMDPI AGBehavioral Sciences2076-328X2022-11-01121143310.3390/bs12110433Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community ResidentsRuntang Meng0Esther Yuet Ying Lau1Karen Spruyt2Christopher B. Miller3Lu Dong4School of Public Health, Hangzhou Normal University, Hangzhou 311121, ChinaSleep Laboratory, Department of Psychology, The Education University of Hong Kong, Hong Kong 999077, ChinaUniversité de Paris, NeuroDiderot, INSERM, Paris 75019, FranceSir Jules Thorn Sleep & Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UKDepartment of Behavioral & Policy Sciences, RAND Corporation, Santa Monica, CA 90401, USABackground: 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.https://www.mdpi.com/2076-328X/12/11/433Sleep Condition Indicatormeasurement invariancepsychometricscommunity |
| spellingShingle | Runtang Meng Esther Yuet Ying Lau Karen Spruyt Christopher B. Miller Lu Dong Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents Behavioral Sciences Sleep Condition Indicator measurement invariance psychometrics community |
| title | Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents |
| title_full | Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents |
| title_fullStr | Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents |
| title_full_unstemmed | Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents |
| title_short | Assessing Measurement Properties of a Simplified Chinese Version of Sleep Condition Indicator (SCI-SC) in Community Residents |
| title_sort | assessing measurement properties of a simplified chinese version of sleep condition indicator sci sc in community residents |
| topic | Sleep Condition Indicator measurement invariance psychometrics community |
| url | https://www.mdpi.com/2076-328X/12/11/433 |
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