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Asking the Clock: How to Use Information from Questionnaires for Circadian Phenotyping

Protocol
First Online:
Part of the Methods in Molecular Biology book series (MIMB, volume 2130)

Abstract

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.

Key words

Chronotype Circadian disruption Phenotyping Proxy Misalignment Sleep Sleep timing Diurnal preference Entrainment 
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References

  1. 1.
    Roenneberg T, Wirz-Justice A, Merrow M (2003) Life between clocks: daily temporal patterns of human Chronotypes. J Biol Rhythm 18:80–90CrossRefGoogle Scholar
  2. 2.
    Levandovski R, Sasso E, Hidalgo MP (2013) Chronotype: a review of the advances, limits and applicability of the main instruments used in the literature to assess human phenotype. Trends Psychiatry Psychother 35:3–11CrossRefGoogle Scholar
  3. 3.
    Roenneberg T, Pilz LK, Zerbini G, Winnebeck EC (2019) Chronotype and social jetlag: A (self-) critical review. Biology (Basel) 8(3):pii E54.  https://doi.org/10.3390/biology8030054
  4. 4.
    Smith PA, Brown DF, Di Milia L, Wragg C (1993) The use of the circadian type inventory as a measure of the circadian constructs of vigour and rigidity. Ergonomics 36:169–175CrossRefGoogle Scholar
  5. 5.
    Roenneberg T (2012) What is chronotype? Sleep Biol Rhythms 10:75–76CrossRefGoogle Scholar
  6. 6.
    Juda M, Vetter C, Roenneberg T (2013) The Munich ChronoType questionnaire for shift-workers (MCTQShift). J Biol Rhythm 28:130–140CrossRefGoogle Scholar
  7. 7.
    Ghotbi N, Pilz LK, Winnebeck EC, Vetter C, Zerbini G, Lenssen D, Frighetto G, Salamanca M, Costa R, Montagnese S, Roenneberg T (2019) The μMCTQ: an ultra-short version of the Munich ChronoType Questionnaire. J Biol Rhythms 748730419886986.  https://doi.org/10.1177/0748730419886986
  8. 8.
    Roenneberg T, Allebrandt K, Merrow M, Vetter C (2012) Social jetlag and obesity. Curr Biol 22:939–943CrossRefGoogle Scholar
  9. 9.
    Qian J, Scheer FAJL (2016) Circadian system and glucose metabolism: implications for physiology and disease. Trends Endocrinol Metab 27:282–293CrossRefGoogle Scholar
  10. 10.
    Roenneberg T, Merrow M (2016) The circadian clock and human health. Curr Biol 26:R432–R443CrossRefGoogle Scholar
  11. 11.
    Vetter C (2018) Circadian disruption: what do we actually mean? Eur J Neurosci.  https://doi.org/10.1111/ejn.14255.
  12. 12.
    Wittmann M, Dinich J, Merrow M, Roenneberg T (2006) Social jetlag: misalignment of biological and social time. Chronobiol Int 23:497–509CrossRefGoogle Scholar
  13. 13.
    Barton J, Spelten E, Totterdell P, Smith L, Folkard S, Costa G (1995) The standard Shiftwork index: a battery of questionnaires for assessing shiftwork-related problems. Work Stress 9:4–30CrossRefGoogle Scholar
  14. 14.
    Wittenbrink N, Ananthasubramaniam B, Münch M, et al (2018) High-accuracy determination of internal circadian time from a single blood sample. J Clin Invest 128(9):3826–3839.  https://doi.org/10.1172/JCI120874
  15. 15.
    Laing EE, Möller-Levet CS, Poh N, Santhi N, Archer SN, Dijk DJ (2017) Blood transcriptome based biomarkers for human circadian phase. Elife 6:e20214.  https://doi.org/10.7554/eLife.20214
  16. 16.
    Rea MS, Bierman A, Figueiro MG, Bullough JD (2008) A new approach to understanding the impact of circadian disruption on human health. J Circadian Rhythms 6:7CrossRefGoogle Scholar
  17. 17.
    Fischer D, Vetter C, Roenneberg T (2016) A novel method to visualise and quantify circadian misalignment. Sci Rep 6:38601CrossRefGoogle Scholar
  18. 18.
    Erren TC, Reiter RJ (2009) Defining chronodisruption. J Pineal Res 46:245–247CrossRefGoogle Scholar
  19. 19.
    Roenneberg T, Keller LK, Fischer D, Matera JL, Vetter C, Winnebeck EC (2015) Chapter twelve—human activity and rest in situ. In: Amita S (ed) Methods in enzymology. Academic Press, Cambridge, Massachusetts, pp 257–283Google Scholar
  20. 20.
    Suh S, Ryu H, Kim S, Choi S, Joo EY (2017) Using Mid-sleep time to determine chronotype in young adults with insomnia-related symptoms. Sleep Med Res 8(2):107–111Google Scholar
  21. 21.
    Horne JA, Østberg O (1976) A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol 4:97–110PubMedGoogle Scholar
  22. 22.
    Zavada A, Gordijn M, Beersma D, Daan S, Roenneberg T (2005) Comparison of the Munich Chronotype questionnaire with the Horne-Östberg’s Morningness-Eveningness score. Chronobiol Int 22:267–278CrossRefGoogle Scholar
  23. 23.
    Kitamura S, Hida A, Aritake S, Higuchi S, Enomoto M, Kato M, Vetter C, Roenneberg T, Mishima K (2014) Validity of the Japanese version of the Munich ChronoType questionnaire. Chronobiol Int 31:845–850CrossRefGoogle Scholar
  24. 24.
    Peres I, Vetter C, Blautzik J, Reiser M, Pöppel E, Meindl T, Till R, Gutyrchik E (2011) Chronotype predicts activity patterns in the neural underpinnings of the motor system during the day. Chronobiol Int 28:883–889CrossRefGoogle Scholar
  25. 25.
    Vetter C, Fischer D, Matera JL, Roenneberg T (2015) Aligning work and circadian time in shift workers improves sleep and reduces circadian disruption. Curr Biol 25:907–911CrossRefGoogle Scholar
  26. 26.
    Brown SA, Kunz D, Dumas A, Westermark PO, Vanselow K, Tilmann-Wahnschaffe A, Herzel H, Kramer A (2008) Molecular insights into human daily behavior. Proc Natl Acad Sci 105:1602–1607CrossRefGoogle Scholar
  27. 27.
    Nováková M, Sládek M, Sumová A (2013) Human Chronotype is determined in bodily cells under real-life conditions. Chronobiol Int 30:607–617CrossRefGoogle Scholar
  28. 28.
    Arendt J (1998) Melatonin and the pineal gland: influence on mammalian seasonal and circadian physiology. Rev Reprod 3:13–22CrossRefGoogle Scholar
  29. 29.
    Arendt J (2006) Melatonin and human rhythms. Chronobiol Int 23:21–37CrossRefGoogle Scholar
  30. 30.
    Kantermann T, Sung H, Burgess HJ (2015) Comparing the morningness-eveningness questionnaire and Munich ChronoType questionnaire to the dim light melatonin onset. J Biol Rhythm 30:449–453CrossRefGoogle Scholar
  31. 31.
    Martin SK, Eastman CI (2002) Sleep logs of young adults with self-selected sleep times predict dim light melatonin onset. Chronobiol Int 19:695–707CrossRefGoogle Scholar
  32. 32.
    Burgess HJ, Savic N, Sletten T, Roach G, Gilbert SS, Dawson D (2003) The relationship between the dim light melatonin onset and sleep on a regular schedule in young healthy adults. Behav Sleep Med 1:102–114CrossRefGoogle Scholar
  33. 33.
    Barclay NL, Rowe R, O’Leary R, Bream D, Gregory AM (2016) Longitudinal stability of genetic and environmental influences on the association between diurnal preference and sleep quality in young adult twins and siblings. J Biol Rhythm 31:375–386CrossRefGoogle Scholar
  34. 34.
    Broms U, Pitkäniemi J, Bäckmand H, Heikkilä K, Koskenvuo M, Peltonen M, Sarna S, Vartiainen E, Kaprio J, Partonen T (2014) Long-term consistency of diurnal-type preferences among men. Chronobiol Int 31:182–188CrossRefGoogle Scholar
  35. 35.
    Jones SE, Tyrrell J, Wood AR, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Hu Y, Teder-Laving M, Hayward C et al (2016) Genome-wide association analyses in 128,266 individuals identifies new Morningness and sleep duration loci. PLoS Genet 12:e1006125CrossRefGoogle Scholar
  36. 36.
    Hu Y, Shmygelska A, Tran D, Eriksson N, Tung JY, Hinds DA (2016) GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person. Nat Commun 7:10448CrossRefGoogle Scholar
  37. 37.
    Lane JM, Vlasac I, Anderson SG, Kyle SD, Dixon WG, Bechtold DA, Gill S, Little MA, Luik A, Loudon A et al (2016) Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK biobank. Nat Commun 7:10889CrossRefGoogle Scholar
  38. 38.
    Åkerstedt T (2003) Shift work and disturbed sleep/wakefulness. Occup Med (Lond) 53:89–94CrossRefGoogle Scholar
  39. 39.
    Roenneberg T, Kumar CJ, Merrow M (2007) The human circadian clock entrains to sun time. Curr Biol 17:R44–R45CrossRefGoogle Scholar
  40. 40.
    Vetter C, Juda M, Lang D, Wojtysiak A, Roenneberg T (2011) Blue-enriched office light competes with natural light as a zeitgeber. Scand J Work Environ Health 37:437–445CrossRefGoogle Scholar
  41. 41.
    Wright KP, McHill AW, Birks BR, Griffin BR, Rusterholz T, Chinoy ED (2013) Entrainment of the human circadian clock to the natural light-dark cycle. Curr Biol 23:1554–1558CrossRefGoogle Scholar
  42. 42.
    Stothard ER, McHill AW, Depner CM, Birks BR, Moehlman TM, Ritchie HK, Guzzetti JR, Chinoy ED, LeBourgeois MK, Axelsson J et al (2017) circadian entrainment to the natural light-dark cycle across seasons and the weekend. Curr Biol 27(4):508–513CrossRefGoogle Scholar
  43. 43.
    Kohsaka M, Fukuda N, Honma K, Honma S, Morita N (1992) Seasonality in human sleep. Experientia 48:231–233CrossRefGoogle Scholar
  44. 44.
    Allebrandt KV, Teder-Laving M, Kantermann T, Peters A, Campbell H, Rudan I, Wilson JF, Metspalu A, Roenneberg T (2014) Chronotype and sleep duration: the influence of season of assessment. Chronobiol Int 31:731–740CrossRefGoogle Scholar
  45. 45.
    Crowley SJ, Van Reen E, LeBourgeois MK, Acebo C, Tarokh L, Seifer R, Barker DH, Carskadon MA (2014) A longitudinal assessment of sleep timing, circadian phase, and phase angle of entrainment across human adolescence. PLoS One 9:e112199CrossRefGoogle Scholar
  46. 46.
    Roenneberg T, Kuehnle T, Pramstaller PP, Ricken J, Havel M, Guth A, Merrow M (2004) A marker for the end of adolescence. Curr Biol 14:R1038–R1039CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2021

Authors and Affiliations

  1. 1.Department of Integrative PhysiologyUniversity of Colorado BoulderBoulderUSA
  2. 2.Institute of Medical PsychologyLudwig-Maximilian-UniversityMunichGermany

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