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

被引:8
作者
Meng, Runtang [1 ,2 ]
Dong, Lu [3 ]
Dzierzewski, Joseph M. [4 ,5 ]
Mastrotheodoros, Stefanos [6 ,7 ]
Cao, Menglu [8 ,9 ]
Yu, Bilin [10 ]
Wang, Jue [11 ]
Gong, Boxiong [12 ]
Li, Jingjing [13 ]
Spruyt, Karen [14 ]
机构
[1] Hangzhou Normal Univ, Sch Publ Hlth, Hangzhou 311121, Zhejiang, Peoples R China
[2] Minist Educ, Engn Res Ctr Mobile Hlth Management Syst, Hangzhou, Zhejiang, Peoples R China
[3] RAND Corp, Dept Behav & Policy Sci, Santa Monica, CA USA
[4] Virginia Commonwealth Univ, Dept Psychol, Richmond, VA USA
[5] Natl Sleep Fdn, Washington, DC USA
[6] Univ Crete, Dept Psychol, Rethimnon, Greece
[7] Univ Utrecht, Dept Youth & Family, Utrecht, Netherlands
[8] Southwest Univ, Fac Psychol, Chongqing, Peoples R China
[9] Sichuan Technol & Business Univ, Students Mental Hlth Ctr, Chengdu, Sichuan, Peoples R China
[10] Beijing Foreign Studies Univ, Sch Int Journalism & Commun, Beijing, Peoples R China
[11] Shanghai Univ Tradit Chinese Med, Sch Basic Med, Shanghai, Peoples R China
[12] Hubei Univ Med, Taihe Hosp, Dept Oncol, Shiyan, Hubei, Peoples R China
[13] Emory Univ, Rollins Sch Publ Hlth, Dept Behav Sci & Hlth Educ, Atlanta, GA USA
[14] Univ Paris, NeuroDiderot, INSERM, Paris, France
关键词
RU_SATED; Sleep health; Cross-cultural adaptation; Validation; Psychometrics; Longitudinal; MEDICAL-STUDENTS; QUALITY; DEPRESSION; ANXIETY; ALPHA; DISTURBANCES; COEFFICIENTS; GUIDELINE; PACKAGE; COSMIN;
D O I
10.1186/s40359-023-01203-5
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 60 条
  • [1] Acquadro C, 2012, Linguistic validation manual for health outcome assessments
  • [2] Sleep Disturbances among Medical Students: A Global Perspective
    Azad, Muhammad Chanchal
    Fraser, Kristin
    Rumana, Nahid
    Abdullah, Ahmad Faris
    Shahana, Nahid
    Hanly, Patrick J.
    Turin, Tanvir Chowdhury
    [J]. JOURNAL OF CLINICAL SLEEP MEDICINE, 2015, 11 (01): : 69 - 74
  • [3] Sleep health assessment: A scale validation
    Becker, Nathalia Brandolim
    Santos Martins, Rute Isabel
    Jesus, Saul de Neves
    Chiodelli, Roberto
    Rieber, Michael Stephen
    [J]. PSYCHIATRY RESEARCH, 2018, 259 : 51 - 55
  • [4] Validation of the Satisfaction, Alertness, Timing, Efficiency and Duration (SATED) Questionnaire for Sleep Health Measurement
    Benitez, Ivan
    Roure, Nuria
    Pinilla, Lucia
    Sapina-Beltran, Esther
    Buysse, Daniel J.
    Barbe, Ferran
    de Batlle, Jordi
    [J]. ANNALS OF THE AMERICAN THORACIC SOCIETY, 2020, 17 (03) : 338 - 343
  • [5] Bennett DA, 2001, AUST NZ J PUBL HEAL, V25, P464, DOI 10.1111/j.1467-842X.2001.tb00294.x
  • [6] Sleep Health: Can We Define It? Does It Matter?
    Buysse, Daniel J.
    [J]. SLEEP, 2014, 37 (01) : 9 - U219
  • [7] Sensitivity of goodness of fit indexes to lack of measurement invariance
    Chen, Fang Fang
    [J]. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2007, 14 (03) : 464 - 504
  • [8] Racial/Ethnic Differences in Sleep Disturbances: The Multi-Ethnic Study of Atherosclerosis (MESA)
    Chen, Xiaoli
    Wang, Rui
    Zee, Phyllis
    Lutsey, Pamela L.
    Javaheri, Sogol
    Alcantara, Carmela
    Jackson, Chandra L.
    Williams, Michelle A.
    Redline, Susan
    [J]. SLEEP, 2015, 38 (06) : 877 - U187
  • [9] Considering cross-cultural differences in sleep duration between Japanese and Canadian university students
    Cheung, Benjamin Y.
    Takemura, Kosuke
    Ou, Christine
    Gale, Anne
    Heine, Steven J.
    [J]. PLOS ONE, 2021, 16 (04):
  • [10] Cicchetti DV., 1994, PSYCHOL ASSESSMENTS, V6, P284, DOI [10.1037/1040-3590.6.4.284doi.org/, 10.1037/1040-3590.6.4.284, DOI 10.1037/1040-3590.6.4.284]