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Association Between Flexible Work Arrangement and Sleep Problems Among Paid Workers: Using 6th Korean Working Conditions Survey

  • Eunseun Han (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center) ;
  • Yongho Lee (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center) ;
  • Sanghyuk Lee (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center) ;
  • Shinhyeong Kim (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center) ;
  • Seunghon Ham (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center) ;
  • Wanhyung Lee (Department of Preventive Medicine, College of Medicine, Chung-Ang University) ;
  • Won-Jun Choi (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center) ;
  • Seong-Kyu Kang (Department of Occupational and Environmental Medicine, Gachon University Gil Medical Center)
  • 투고 : 2023.07.20
  • 심사 : 2023.12.27
  • 발행 : 2024.03.30

초록

Background: As social distancing persists and interest in work-life balance grows, more companies are adopting flexible work policies. While there have been studies on sleep disorders associated with different types of work, such as shift work, research exploring the relationship between flexible work schedules and sleep disorders is still limited, particularly among Korean workers. Methods: We performed a secondary analysis of the 6th Korean Working Conditions Survey, focusing on 31,243 paid workers out of a total of 50,538 participants. We defined flexible workers as those who set their own working hours. Sleep disorders were divided into three categories: 'difficulty falling asleep,' 'frequent waking during sleep,' and 'waking up feeling exhausted and fatigued.' Using scores derived from three specific symptoms, the Minimal Insomnia Symptoms Scale (MISS) was calculated to assess the prevalence of insomnia. We used chi-square tests to analyze demographic and job-related differences. A multivariate logistic regression analysis was employed to identify any relationship between flexible work schedules and sleep disorders. Results: Significant differences were found between flexible and non-flexible workers regarding age, income level, education level, and job type. Flexible workers reported sleep-related symptoms significantly more often. The odds ratio for insomnia was 1.40 (95% CI 1.21-1.61). For males, the odds ratio was 1.68 (1.36-2.08). Conclusion: This study establishes a correlation between flexible work schedules and sleep disorders among Korean salaried workers. Potential causes could include changes in circadian rhythm, increased work demands, and extended working hours. To precisely determine causality and associated diseases, further research is required.

키워드

과제정보

The author gratefully acknowledges the Safety and Health Policy Research Department of the OSHRI for providing the raw data from the KWCS. The author takes full responsibility for the contents of this paper, and any opinions expressed within do not necessarily reflect the official views of the OSHRI.

참고문헌

  1. Hill EJ, Grzywacz JG, Allen S, Blanchard VL, Matz-Costa C, Shulkin S, et al. Defining and conceptualizing workplace flexibility. Community Work Family 2008;11(2):149-63. https://doi.org/10.1080/13668800802024678
  2. Leslie LM, Manchester CF, Park T-Y, Mehng SA. Flexible work practices: a source of career premiums or penalties? Acad Manage J 2012;55(6):1407-28. https://doi.org/10.5465/amj.2010.0651
  3. Center NLI. Labor standards act Seoul. Ministry of Government Legislation. 2021 [Available from: https://www.law.go.kr/%EB%B2%95%EB%A0%B9/%EA%B7%BC%EB%A1%9C%EA%B8%B0%EC%A4%80%EB%B2%95.
  4. Noda H. Workelife balance and life satisfaction in OECD countries: a cross-sectional analysis. J Happiness Stud 2020;21(4):1325-48. https://doi.org/10.1007/s10902-019-00131-9
  5. Lee K, Allen NJ. Organizational citizenship behavior and workplace deviance: the role of affect and cognitions. J Appl Psychol 2002;87(1):131.
  6. Barrero JM, Bloom N, Davis SJ. COVID-19 Is also a reallocation shock. Cambridge (MA): National Bureau of Economic Research (NBER) (US); 2020. Working Paper No.: 27137. 39 p.
  7. Spreitzer GM, Cameron L, Garrett L. Alternative work arrangements: two images of the new world of work. Annu Rev Organ Psychol Organ Behav 2017;4:473-99. https://doi.org/10.1146/annurev-orgpsych-032516-113332
  8. Sinclair RR, Allen T, Barber L, Bergman M, Britt T, Butler A, et al. Occupational health science in the time of COVID-19: now more than ever. Springer; 2020. p. 1-22.
  9. Brynjolfsson E, Horton JJ, Ozimek A, Rock D, Sharma G, TuYe H-Y. COVID-19 and remote work: an early look at US data. Cambridge (MA): National Bureau of Economic Research (NBER) (US); 2020. Working Paper No.: 27137. 39 p.
  10. Ji S-H. [Supplementary survey on economic activity population] examining the utilization and changes in flexible working arrangements among regular and non-regular workers. Labor Rev 2021;192:66-76 [In Korean].
  11. Korea Enterprises Federation. Survey results on telecommuting status following the easing of social distancing measures. KEF emagazine 2022;93:24-5 [In Korean].
  12. Barrero JM, Bloom N, Davis SJ. Why working from home will stick. Cambridge (MA): National Bureau of Economic Research (NBER) (US); 2021. Working Paper No.: 28731. 68 p.
  13. Statistics on diseases and medical practice in everyday life. Wonju (Korea); 2021. Publication No.: GoooEP1-2021-16. 183 p. [In Korean].
  14. Dorrian J, Baulk SD, Dawson D. Work hours, workload, sleep and fatigue in Australian Rail Industry employees. Appl Ergon 2011;42(2):202-9. https://doi.org/10.1016/j.apergo.2010.06.009
  15. Alvaro PK, Roberts RM, Harris JK. A systematic review assessing bidirection-ality between sleep disturbances, anxiety, and depression. Sleep 2013;36(7):1059-68. https://doi.org/10.5665/sleep.2810
  16. Cappuccio FP, Cooper D, D'Elia L, Strazzullo P, Miller MA. Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies. Eur Heart J 2011;32(12):1484-92. https://doi.org/10.1093/eurheartj/ehr007
  17. Ge B, Guo X. Short and long sleep durations are both associated with increased risk of stroke: a meta-analysis of observational studies. Int J Stroke 2015;10(2):177-84.
  18. Leng Y, Cappuccio FP, Wainwright NW, Surtees PG, Luben R, Brayne C, et al. Sleep duration and risk of fatal and nonfatal stroke: a prospective study and meta-analysis. Neurology 2015;84(11):1072-9. https://doi.org/10.1212/WNL.0000000000001371
  19. Li Y, Zhang X, Winkelman JW, Redline S, Hu FB, Stampfer M, et al. Association between insomnia symptoms and mortality: a prospective study of US men. Circulation 2014;129(7):737-46. https://doi.org/10.1161/CIRCULATIONAHA.113.004500
  20. Patel SR, Hu FB. Short sleep duration and weight gain: a systematic review. Obesity 2008;16(3):643-53. https://doi.org/10.1038/oby.2007.118
  21. Wu Y, Zhai L, Zhang D. Sleep duration and obesity among adults: a meta-analysis of prospective studies. Sleep Med 2014;15(12):1456-62. https://doi.org/10.1016/j.sleep.2014.07.018
  22. Anothaisintawee T, Reutrakul S, Van Cauter E, Thakkinstian A. Sleep disturbances compared to traditional risk factors for diabetes development: systematic review and meta-analysis. Sleep Med Rev 2016;30:11-24. https://doi.org/10.1016/j.smrv.2015.10.002
  23. Cappuccio FP, D'Elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis. Diabetes Care 2010;33(2):414-20. https://doi.org/10.2337/dc09-1124
  24. Barney CE, Elias SM. Flex-time as a moderator of the job stress-work motivation relationship. Personnel Rev 2010;39(4):487-502. https://doi.org/10.1108/00483481011045434
  25. Haley MR, Miller LA. Correlates of flexible working arrangements, stress, and sleep difficulties in the US workforce: does the flexibility of the flexibility matter? Empir Econ 2015;48(4):1395-418. https://doi.org/10.1007/s00181-014-0836-4
  26. Grzywacz JG, Carlson DS, Shulkin S. Schedule flexibility and stress: linking formal flexible arrangements and perceived flexibility to employee health. Commun Work Family 2008;11(2):199-214. https://doi.org/10.1080/13668800802024652
  27. Joyce K, Pabayo R, Critchley JA, Bambra C. Flexible working conditions and their effects on employee health and wellbeing. Cochrane Database Syst Rev 2010;(2).
  28. Takahashi M, Iwasaki K, Sasaki T, Kubo T, Mori I, Otsuka Y. Worktime control-dependent reductions in fatigue, sleep problems, and depression. Appl Ergonom 2011;42(2):244-50.
  29. Occupational Safety and Health Research Institute (OSHRI). Guidelines of the use of the 6th Korea Working Conditions Survey (KWCS) raw data. Ulsan (Korea); 2021. No.: 2021-OSHRI-326. 202 p. [In Korean].
  30. Statistics Korea Notice No. 2017-191. Korean Standard Classification of Occupations. Daejeon: Statistics Korea; 2017 [In Korean].
  31. Pagnan CE, Seidel A, MacDermid Wadsworth S. I just can't fit it in! Implications of the fit between work and family on health-promoting behaviors. J Family Issues 2017;38(11):1577-603. https://doi.org/10.1177/0192513X16631016
  32. Treiber LA, Davis SN. The role of 'workplace family' support on worker health, exhaustion and pain. Commun Work Family 2012;15(1):1-27. https://doi.org/10.1080/13668803.2011.580123
  33. De Lange AH, Kompier MA, Taris TW, Geurts SA, Beckers DG, Houtman IL, et al. A hard day's night: a longitudinal study on the relationships among job demands and job control, sleep quality and fatigue. J Sleep Res 2009;18(3):374-83. https://doi.org/10.1111/j.1365-2869.2009.00735.x
  34. Linton SJ, Kecklund G, Franklin KA, Leissner LC, Sivertsen B, Lindberg E, et al. The effect of the work environment on future sleep disturbances: a systematic review. Sleep Med Rev 2015;23:10-9. https://doi.org/10.1016/j.smrv.2014.10.010
  35. Pilcher J, Huffcutt BL. Self-report sleep length: a meta-analytic review. Sleep 2000;23(2):155.
  36. Wright Jr KP, Bogan RK, Wyatt JK. Shift work and the assessment and management of shift work disorder (SWD). Sleep Med Rev 2013;17(1):41-54. https://doi.org/10.1016/j.smrv.2012.02.002
  37. Allen TD, Johnson RC, Kiburz KM, Shockley KM.Workefamily conflict andflexible work arrangements: deconstructingflexibility. Pers Psychol 2013;66(2):345-76. https://doi.org/10.1111/peps.12012
  38. Grawitch MJ, Barber LK, Kruger MH. Role identification, community socioeconomic status demands, and stress outcomes in police officers. Anxiety Stress Coping 2010;23(2):165-80. https://doi.org/10.1080/10615800902935542
  39. Lott Y. Does flexibility help employees switch off from work? Flexible working-time arrangements and cognitive work-to-home spillover for women and men in Germany. Soc Indic Res 2020;151(2):471-94. https://doi.org/10.1007/s11205-018-2031-z
  40. Diab-Bahman R, Al-Enzi A. The impact of COVID-19 pandemic on conventional work settings. Int J Sociol Soc Policy 2020;40(9/10):909-27. https://doi.org/10.1108/IJSSP-07-2020-0262
  41. Bannai A, Tamakoshi A. The association between long working hours and health: a systematic review of epidemiological evidence. Scand J Work Environ Health 2014:5-18.
  42. Virtanen M, Ferrie JE, Gimeno D, Vahtera J, Elovainio M, Singh-Manoux A, et al. Long working hours and sleep disturbances: the Whitehall II prospective cohort study. Sleep 2009;32(6):737-45. https://doi.org/10.1093/sleep/32.6.737