Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China.
Chronobiol Int. 2023 May;40(5):661-672. doi: 10.1080/07420528.2023.2202246. Epub 2023 Apr 20.
The Munich Chronotype Questionnaire (MCTQ) was developed to determine an individual's chronotype, and it provides information about sleep and wake times separately for work and free days. However, the MCTQ has not been effectively verified using a large sample based on multiple questionnaires and actigraphy measures. Three sequential studies were conducted. Study 1 used a large sample (n = 1066) to investigate the chronotype of Chinese college freshmen and assess the validity of the MCTQ compared with the reduced Morningness-Eveningness Questionnaire (rMEQ), actigraphy, and other related questionnaires. Study 2 verified the MCTQ compared with a sleep diary. Study 3 examined the test-retest reliability of the MCTQ at the 2-year follow-up. The results showed that MCTQ parameters were significantly associated with rMEQ scores, the actigraphy-based mid-point of sleep, sleep quality, depression, and trait anxiety. In addition, all MCTQ variables were significantly related to the diary-based sleep mid-point. The test-retest reliability of the mid-point of sleep adjusted for sleep debt (MSFsc) and mid-point of sleep on free days (MSF) was acceptable. These results indicate that the MCTQ is a practical and efficient tool with good reliability. Its further development is important for the accurate assessment of chronotypes and clinical diagnoses of sleep.
《慕尼黑时间类型问卷》(MCTQ)用于确定个体的时间类型,它分别提供了工作日和休息日的睡眠和醒来时间信息。然而,MCTQ 尚未通过基于多个问卷和活动记录仪测量的大样本进行有效验证。本研究进行了三项连续研究。研究 1 使用大样本(n=1066)调查了中国大学新生的时间类型,并评估了 MCTQ 与简化的晨型-晚型问卷(rMEQ)、活动记录仪和其他相关问卷相比的有效性。研究 2 验证了 MCTQ 与睡眠日记的相关性。研究 3 在 2 年随访时检查了 MCTQ 的重测信度。结果表明,MCTQ 参数与 rMEQ 评分、基于活动记录仪的睡眠中点、睡眠质量、抑郁和特质焦虑显著相关。此外,所有 MCTQ 变量与基于日记的睡眠中点均显著相关。调整睡眠债务的睡眠中点(MSFsc)和休息日的睡眠中点(MSF)的重测信度可接受。这些结果表明,MCTQ 是一种具有良好可靠性的实用、高效工具。其进一步发展对于准确评估时间类型和临床诊断睡眠非常重要。