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RU_SATED 作为睡眠健康的衡量标准:中国医学生中的跨文化适应和验证。

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

机构信息

School of Public Health, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.

Engineering Research Center of Mobile Health Management System, Ministry of Education, Hangzhou, Zhejiang, China.

出版信息

BMC Psychol. 2023 Jul 5;11(1):200. doi: 10.1186/s40359-023-01203-5.

Abstract

BACKGROUND

The 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.

METHODS

The 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.

RESULTS

A 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.

CONCLUSION

The 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.

摘要

背景

RU_SATED 量表是一种多维工具,用于测量睡眠健康,包括规律性、满意度、警觉性、时间安排、效率和持续时间维度。我们对其进行了适应性和验证,并制定了中文版 RU_SATED(RU_SATED-C)量表。

方法

RU_SATED-C 量表通过正式的语言验证过程开发,并在观察性纵向调查设计中进行了验证。医护学生在中国杭州和宁波的两个地点完成了 RU_SATED 量表、睡眠质量问卷和患者健康问卷-4。心理测量评估包括结构有效性、纵向测量不变性、收敛和发散有效性、内部一致性和测试-重测可靠性。

结果

共有 911 名医护学生在基线(时间 1,T1)和随访(时间 2,T2)时完成了 RU_SATED-C 量表,平均时间间隔为 7 天+5.37 小时。验证性因子分析(CFA)证实了单因素模型,且具有可接受的模型拟合度。先前在日语版中发现的两因素模型比单因素模型拟合更好,而英语版中发现的单因素模型拟合度优于两因素模型。纵向 CFA 表明,在四个形式越来越严格的模型中,拟合指数几乎没有变化,这支持了在整个时间内单因素模型是等效的。数据还支持在英语和日语样本中发现的两因素模型的纵向测量不变性。RU_SATED-C 量表总分与睡眠质量呈中度负相关;然而,与焦虑和抑郁几乎没有关联。T1 和 T2 时的有序 Cronbach's alpha 和有序 McDonald's omega 范围从次优到可接受。RU_SATED-C 量表和所有项目在时间间隔内均具有显著相关性。

结论

RU_SATED-C 量表是一种易于使用的工具,其数据可能对多维睡眠健康的测量有效。RU_SATED-C 量表的使用可以帮助提高对睡眠健康的认识,并为促进健康睡眠的重要努力铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c25/10324119/de54c07f318e/40359_2023_1203_Fig1_HTML.jpg

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