Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
Institute of Medical Psychology, Ludwig-Maximilian-University, Munich, Germany.
Methods Mol Biol. 2021;2130:79-85. doi: 10.1007/978-1-0716-0381-9_6.
With the emergence of big data science, the question how we can easily collect meaningful information about circadian clock phenotypes in large human cohorts imposes itself. Here, we describe potentials and limitations of using questionnaires, specifically the Munich ChronoType Questionnaire (MCTQ), to characterize such circadian phenotypes. We also discuss scenarios when alternative methods might be more appropriate.
随着大数据科学的出现，如何在大型人群中轻松收集有关生物钟表型的有意义信息的问题就摆在了我们面前。在这里，我们描述了使用问卷（特别是慕尼黑昼夜节律类型问卷（MCTQ））来描述这种昼夜节律表型的潜力和局限性。我们还讨论了何时其他方法可能更合适的情况。
