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Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 38, 2021 - Issue 5
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Original Articles

Modified Munich chronotype questionnaire for application to short-interval split sleep of non-shift workers

, , , , , & show all
Pages 659-665 | Received 22 Sep 2020, Accepted 31 Jan 2021, Published online: 18 Mar 2021
 

ABSTRACT

The Munich Chronotype Questionnaire (MCTQ) has been widely validated among various types of populations. However, determination of chronotype among individuals who have a split sleep pattern with short intervals between the first and second sleep bouts on free days has not yet been reported. This study aimed to validate the MCTQ modified for this purpose by assessing the actual sleep-wake timing against the Morningness-Eveningness Questionnaire (MEQ). The modified calculation for the midpoint of sleep on free days (MSF) of the split sleep pattern considers the second sleep bout as the total sleep duration on free days. We recruited 161 participants (mean age: 38.7 ± 7.8 years; 73% females, 29% with split sleep pattern) were recruited to administer the modified version of the MCTQ and MEQ. All of the MCTQ original parameters: midpoint of sleep on work days (MSW, r = −0.575), midpoint of sleep on free days (MSF, r = −0.568), and midpoint of sleep on free days corrected for sleep debt (MSFsc,r = −0.566) were significantly correlated with MEQ. The MEQ was further tested against MSF in four conditions of the split sleep pattern. The MSF modified for split sleep within 60 minutes after the first awakening showed highest correlation (r = −0.576) against MEQ score. The results demonstrate the modified version of MCTQ is valid to determine the chronotype in participants who practice consolidated and split sleep patterns.

Acknowledgements

The authors would like to thank all the participants involved in this study. We also would like to thank Prof Till Roenneberg for his guidance and consultation for this article.

Disclosure statement

The authors declare no conflict of interest.

Additional information

Funding

This work was supported by the Ministry of Higher Education [FRGS/1/2018/SKK06/UKM/02/3].

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