Evidence map›Paper›PMID 37408014›Full record

Observational studyBMC psychology2023

The RU_SATED as a measure of sleep health: cross-cultural adaptation and validation in Chinese healthcare students.

Runtang Meng, Lu Dong, Joseph M Dzierzewski, Stefanos Mastrotheodoros, Menglu Cao, Bilin Yu, Jue Wang, Boxiong Gong, Jingjing Li, Karen Spruyt

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in BMC psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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  8. Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Runtang MengSchool of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China. mengruntang@hznu.edu.cn.
Lu DongDepartment of Behavioral and Policy Sciences, RAND Corporation, Santa Monica, CA, USA.
Joseph M DzierzewskiDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
Stefanos MastrotheodorosDepartment of Psychology, University of Crete, Rethymno, Greece.
Menglu CaoFaculty of Psychology, Southwest University, Chongqing, China.
Bilin YuSchool of International Journalism and Communication, Beijing Foreign Studies University, Beijing, China.
Jue WangSchool of Basic Medical, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Boxiong GongDepartment of Oncology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Jingjing LiDepartment of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Karen SpruytUniversité de Paris, NeuroDiderot, INSERM, Paris, France.

Funding

Hangzhou Normal University RWSK20201003Medical Research Fund of Zhejiang Province 2023RC073
6 · The paper itself

Abstract

backgroundThe RU_SATED scale is a multidimensional instrument measuring sleep health, consisting of Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration dimensions. We adapted and validated the Chinese RU_SATED (RU_SATED-C) scale.

methodsThe RU_SATED-C scale was developed through a formal linguistic validation process and was validated in an observational longitudinal survey design. Healthcare students completed the RU_SATED scale, Sleep Quality Questionnaire, and Patient Health Questionnaire-4 among two sites of Hangzhou and Ningbo, China. Psychometric assessments included structural validity, longitudinal measurement invariance, convergent and divergent validity, internal consistency, and test-retest reliability.

resultsA total of 911 healthcare students completed the RU_SATED-C scale at baseline (Time 1, T1) and follow-up (Time 2, T2) with an average time interval of 7 days + 5.37 h. Confirmatory factor analysis (CFA) confirmed a single-factor model and resulted in an acceptable model fit. The two-factor model previously found in the Japanese version fit better than the one-factor model, whereas the one-factor model fit had a better fit than the two-factor model found in the English version. Longitudinal CFA resulted in negligible changes in fit indices for four forms of increasingly restrictive models and supported that a single-factor model was equivalent over time. The data also endorsed longitudinal measurement invariance among the two-factor models found in the English and Japanese samples. The RU_SATED-C scale total score displayed a moderately strong negative correlation with sleep quality; however, negligible associations were observed with anxiety and depression. Ordinal Cronbach's alpha and Ordinal McDonald's omega at T1 and T2 ranged from suboptimal to acceptable. The RU_SATED-C scale and all items were significantly correlated across time intervals.

conclusionThe RU_SATED-C scale is an easy-to-use instrument with potentially valid data for the measurement of multidimensional sleep health. Use of the RU_SATED-C scale can help raise awareness of sleep health and could pave the way for important efforts to promote healthy sleep.

Indexed as

Cross-Cultural ComparisonSleepSurveys and QuestionnairesDelivery of Health CareEast Asian PeopleHumansPsychometricsReproducibility of ResultsStudentsCross-cultural adaptationLongitudinalPsychometricsRU_SATEDSleep healthValidation

Identifiers

PMID37408014
PMCPMC10324119

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.