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Sleep problem but not chronotype is associated with retirement from shift work: a cross-sectional retrospective study

  • Shingo KitamuraEmail author
  • Masaya Takahashi
  • Kazuo Mishima
Original Article
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Abstract

The purpose of this study was to investigate the relationship between chronotype, sleep problems and long-term (maladaptive retirement from shift work) and short-term (perceived tolerance of shift work) tolerance of shift work in community-dwelling people who worked as a shift worker for over a year, in a retrospective manner. Ninety-seven shift workers participated in the study. They were divided into three groups: current shift workers (CS: n = 42), workers who retired from shift work for reasons other than maladaptation to shift work (past shift workers with adaptation: PSa, n = 42), and workers who retired from shift work due to maladaptation to shift work (past shift workers with maladaptation: PSm, n = 13). Perceived adaptation to shift work, shift work-related sleep problems, and chronotypes were evaluated by a questionnaire. Among the current shift workers, perceived adaptation to shift work is correlated with chronotype and early morning awakening. Among past shift workers, PSm showed lower perceived adaptation to shift work than PSa, but no difference was found in the chronotype. Furthermore, in the logistic regression analysis, early morning awakening was found to be the significant predictor for the incidence of maladaptive retirement from shift work, but the chronotype was not. The findings of this study suggest that the perceived tolerance to shift work in evening chronotype does not necessarily coincide with maladaptive retirement from shift work. From a long-term perspective, consideration of managing sleep problems might be more effective rather than individual tolerance to nighttime sleepiness for the work placement in shift workers.

Keywords

Shift work tolerance Shift work adaptability Chronotype Eveningness 

Notes

Acknowledgements

This study was supported by an Intramural Research Grant (23-3) for Neurological and Psychiatric Disorders from NCNP.

Compliance with ethical standards

Conflict of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper. This study was supported by an Intramural Research Grant (23-3) for Neurological and Psychiatric Disorders from NCNP.

Human and animal rights statement

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

All participants were first presented the opt-out model of informed consent.

References

  1. 1.
    Short MA, Agostini A, Lushington K, Dorrian J. A systematic review of the sleep, sleepiness, and performance implications of limited wake shift work schedules. Scand J Work Environ Health. 2015;41:425–40.CrossRefGoogle Scholar
  2. 2.
    Haus EL, Smolensky MH. Shift work and cancer risk: potential mechanistic roles of circadian disruption, light at night, and sleep deprivation. Sleep Med Rev. 2013;17:273–84.CrossRefGoogle Scholar
  3. 3.
    Ijaz S, Verbeek J, Seidler A, Lindbohm ML, Ojajarvi A, Orsini N, et al. Night-shift work and breast cancer—a systematic review and meta-analysis. Scand J Work Environ Health. 2013;39:431–47.CrossRefGoogle Scholar
  4. 4.
    Vyas MV, Garg AX, Iansavichus AV, Costella J, Donner A, Laugsand LE, et al. Shift work and vascular events: systematic review and meta-analysis. BMJ. 2012;345:e4800.CrossRefGoogle Scholar
  5. 5.
    Canuto R, Garcez AS, Olinto MT. Metabolic syndrome and shift work: a systematic review. Sleep Med Rev. 2013;17:425–31.CrossRefGoogle Scholar
  6. 6.
    Proper KI, van de Langenberg D, Rodenburg W, Vermeulen RCH, van der Beek AJ, van Steeg H, et al. The relationship between shift work and metabolic risk factors: a systematic review of longitudinal studies. Am J Prev Med. 2016;50:e147-e57.CrossRefGoogle Scholar
  7. 7.
    Alterman T, Luckhaupt SE, Dahlhamer JM, Ward BW, Calvert GM. Prevalence rates of work organization characteristics among workers in the U.S.: data from the 2010 National Health Interview Survey. Am J Ind Med. 2013;56:647–59.CrossRefGoogle Scholar
  8. 8.
    Eurofound. Sixth European Working Conditions Survey—overview report (2017 update). Luxembourg: Publications Office of the European Union; 2017.Google Scholar
  9. 9.
    Kubo T. Estimate of the number of night shift workers in Japan. J UOEH. 2014;36:273–6.CrossRefGoogle Scholar
  10. 10.
    Adan A, Archer SN, Hidalgo MP, Di Milia L, Natale V, Randler C. Circadian typology: a comprehensive review. Chronobiol Int. 2012;29:1153–75.CrossRefGoogle Scholar
  11. 11.
    Duffy JF, Dijk DJ, Hall EF, Czeisler CA. Relationship of endogenous circadian melatonin and temperature rhythms to self-reported preference for morning or evening activity in young and older people. J Investig Med. 1999;47:141–50.Google Scholar
  12. 12.
    Kitamura S, Hida A, Aritake S, Higuchi S, Enomoto M, Kato M, et al. Validity of the Japanese version of the munich chronotype questionnaire. Chronobiol Int. 2014;31:845–50.CrossRefGoogle Scholar
  13. 13.
    Carrier J, Monk TH, Buysse DJ, Kupfer DJ. Sleep and morningness-eveningness in the ‘middle’ years of life (20–59 y). J Sleep Res. 1997;6:230–7.CrossRefGoogle Scholar
  14. 14.
    Kitamura S, Hida A, Watanabe M, Enomoto M, Aritake-Okada S, Moriguchi Y, et al. Evening preference is related to the incidence of depressive states independent of sleep-wake conditions. Chronobiol Int. 2010;27:1797–812.CrossRefGoogle Scholar
  15. 15.
    Taillard J, Philip P, Bioulac B. Morningness/eveningness and the need for sleep. J Sleep Res. 1999;8:291–5.CrossRefGoogle Scholar
  16. 16.
    Taillard J, Philip P, Coste O, Sagaspe P, Bioulac B. The circadian and homeostatic modulation of sleep pressure during wakefulness differs between morning and evening chronotypes. J Sleep Res. 2003;12:275–82.CrossRefGoogle Scholar
  17. 17.
    Taillard J, Philip P, Claustrat B, Capelli A, Coste O, Chaumet G, et al. Time course of neurobehavioral alertness during extended wakefulness in morning- and evening-type healthy sleepers. Chronobiol Int. 2011;28:520–7.CrossRefGoogle Scholar
  18. 18.
    Saksvik IB, Bjorvatn B, Hetland H, Sandal GM, Pallesen S. Individual differences in tolerance to shift work—a systematic review. Sleep Med Rev. 2011;15:221–35.CrossRefGoogle Scholar
  19. 19.
    Martin JS, Laberge L, Sasseville A, Berube M, Alain S, Houle J, et al. Day and night shift schedules are associated with lower sleep quality in Evening-types. Chronobiol Int. 2015;32:627–36.CrossRefGoogle Scholar
  20. 20.
    van de Ven HA, van der Klink JJ, Vetter C, Roenneberg T, Gordijn M, Koolhaas W, et al. Sleep and need for recovery in shift workers: do chronotype and age matter? Ergonomics. 2016;59:310–24.CrossRefGoogle Scholar
  21. 21.
    Kecklund G, Axelsson J. Health consequences of shift work and insufficient sleep. Bmj. 2016;355:i5210.CrossRefGoogle Scholar
  22. 22.
    Takahashi M, Tanigawa T, Tachibana N, Mutou K, Kage Y, Smith L, et al. Modifying effects of perceived adaptation to shift work on health, wellbeing, and alertness on the job among nuclear power plant operators. Ind Health. 2005;43:171–8.CrossRefGoogle Scholar
  23. 23.
    Barger LK, Ogeil RP, Drake CL, O’Brien CS, Ng KT, Rajaratnam SM. Validation of a questionnaire to screen for shift work disorder. Sleep. 2012;35:1693–703.CrossRefGoogle Scholar
  24. 24.
    Horne JA, Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol. 1976;4:97–110.Google Scholar
  25. 25.
    Ishihara K, Saitoh T, Inoue Y, Miyata Y. Validity of the Japanese version of the Morningness–Eveningness Questionnaire. Percept Mot Skills. 1984;59:863–6.CrossRefGoogle Scholar
  26. 26.
    McLaughlin C, Bowman ML, Bradley CL, Mistlberger RE. A prospective study of seasonal variation in shift-work tolerance. Chronobiol Int. 2008;25:455–70.CrossRefGoogle Scholar
  27. 27.
    Fischer D, Vetter C, Roenneberg T. A novel method to visualise and quantify circadian misalignment. Sci Rep. 2016;6:38601.CrossRefGoogle Scholar
  28. 28.
    Monk TH, Buysse DJ, Potts JM, DeGrazia JM, Kupfer DJ. Morningness-eveningness and lifestyle regularity. Chronobiol Int. 2004;21:435–43.CrossRefGoogle Scholar
  29. 29.
    Yong M, Fischer D, Germann C, Lang S, Vetter C, Oberlinner C. Are chronotype, social jetlag and sleep duration associated with health measured by Work Ability Index? Chronobiol Int. 2016;33:721–9.CrossRefGoogle Scholar
  30. 30.
    Schouten LS, Joling CI, van der Gulden JW, Heymans MW, Bultmann U, Roelen CA. Screening manual and office workers for risk of long-term sickness absence: cut-off points for the Work Ability Index. Scand J Work Environ Health. 2015;41:36–42.CrossRefGoogle Scholar
  31. 31.
    Roelen CA, Heymans MW, Twisk JW, van der Klink JJ, Groothoff JW, van Rhenen W. Work Ability Index as tool to identify workers at risk of premature work exit. J Occup Rehabil. 2014;24:747–54.CrossRefGoogle Scholar
  32. 32.
    Lallukka T, Kaikkonen R, Harkanen T, Kronholm E, Partonen T, Rahkonen O, et al. Sleep and sickness absence: a nationally representative register-based follow-up study. Sleep. 2014;37:1413–25.CrossRefGoogle Scholar
  33. 33.
    Airaksinen J, Jokela M, Virtanen M, Oksanen T, Pentti J, Vahtera J, et al. Development and validation of a risk prediction model for work disability: multicohort study. Sci Rep. 2017;7:13578.CrossRefGoogle Scholar
  34. 34.
    Haaramo P, Rahkonen O, Lahelma E, Lallukka T. The joint association of sleep duration and insomnia symptoms with disability retirement—a longitudinal, register-linked study. Scand J Work Environ Health. 2012;38:427–35.CrossRefGoogle Scholar
  35. 35.
    Vetter C, Fischer D, Matera JL, Roenneberg T. Aligning work and circadian time in shift workers improves sleep and reduces circadian disruption. Curr Biol. 2015;25:907–11.CrossRefGoogle Scholar
  36. 36.
    Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49:1373–9.CrossRefGoogle Scholar
  37. 37.
    Vittinghoff E, McCulloch CE. Relaxing the rule of ten events per variable in logistic and Cox regression. Am J Epidemiol. 2007;165:710–8.CrossRefGoogle Scholar

Copyright information

© Japanese Society of Sleep Research 2019

Authors and Affiliations

  1. 1.Department of Sleep-Wake DisordersNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
  2. 2.Research Center for Overwork-Related DisordersNational Institute of Occupational Safety and HealthKawasakiJapan
  3. 3.Department of NeuropsychiatryAkita University Graduate School of MedicineAkitaJapan
  4. 4.International Institute for Integrative Sleep MedicineTsukubaJapan

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