Goldilocks at work: Just the right amount of job demands may be needed for your sleep health
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural
Grantová podpora
U01 AG077928
NIA NIH HHS - United States
R43 AG056250
NIA NIH HHS - United States
R44 AG056250
NIA NIH HHS - United States
R56 AG065251
NIA NIH HHS - United States
U19 AG051426
NIA NIH HHS - United States
PubMed
36372656
PubMed Central
PMC9991992
DOI
10.1016/j.sleh.2022.09.002
PII: S2352-7218(22)00157-7
Knihovny.cz E-zdroje
- Klíčová slova
- Job control, Job demands, Job strain, MIDUS, Non-linear relationships, Sleep,
- MeSH
- dospělí MeSH
- kouření MeSH
- lidé MeSH
- průřezové studie MeSH
- průzkumy a dotazníky MeSH
- psychický stres * MeSH
- spánek * MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Research Support, N.I.H., Extramural MeSH
- Geografické názvy
- Spojené státy americké MeSH
OBJECTIVES: It has been reported that job demands affect sleep, but how different levels of job demands affect sleep remains unclear. We examined whether curvilinear relationships exist between job demands and multiple sleep health outcomes. DESIGN: Cross-sectional analyses with linear and quadratic effects, using self-administered survey data. SETTING: A national sample of US adults. PARTICIPANTS: Workers from Midlife in the United States Study (MIDUS2; n = 2927). MEASUREMENTS: The Job Content Questionnaire assessed overall and 5 specific aspects of job demands (intensity, role conflict, work overload, time pressure, and interruptions). Habitual sleep health patterns across 5 dimensions (regularity, satisfaction/quality, daytime alertness, efficiency, and duration) were assessed. Age, sex, race/ethnicity, marital/partnered status, education, job tenure, work hours, body mass index, smoking status, and study sample were covariates. RESULTS: There were significant linear and quadratic relationships between job demands and sleep outcomes. Specifically, the linear effects indicated that participants with higher job demands had worse sleep health, such as shorter duration, greater irregularity, greater inefficiency, and more sleep dissatisfaction. The quadratic effects, however, indicated that sleep regularity and efficiency outcomes were the best when participants' job demands were moderate rather than too low or too high. These effects were found for overall job demands as well as for specific aspects of job demands. Stratified analyses further revealed that these curvilinear associations were mainly driven by participants with low job control. CONCLUSIONS: Moderate levels of job demands, especially if combined with adequate job control, are related to optimal sleep health.
Department of Biobehavioral Health Pennsylvania State University University Park Pennsylvania USA
Department of Psychology University of South Florida Tampa Florida USA
School of Aging Studies University of South Florida Tampa Florida USA
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Kwok CS, Kontopantelis E, Kuligowski G, et al. Self-reported sleep duration and quality and cardiovascular disease and mortality: A dose-response meta-analysis. J Am Heart Assoc. 2018;7(15):1–26. doi:10.1161/JAHA.118.008552 PubMed DOI PMC
Sabia S, Fayosse A, Dumurgier J, et al. Association of sleep duration in middle and old age with incidence of dementia. Nat Commun. 2021;12(1): 1–10. doi:10.1038/s41467-021-22354-2 PubMed DOI PMC
Grandner MA. Sleep, health, and society. Sleep Med Clin. 2020;15(2):319–340. doi:10.1016/j.jsmc.2020.02.017 PubMed DOI
Bannai A, Tamakoshi A. The association between long working hours and health: A systematic review of epidemiological evidence. Scand J Work Environ Health. 2014;40(1):5–18. 10.5271/sjweh.3388 PubMed DOI
Jehan S, Zizi F, Pandi-Perumal SR, et al. Shift work and sleep: Medical implications and management. Sleep Med Disord Int J. 2017;1(2):36–42. doi:10.15406/smdij.2017.01.00008 PubMed DOI PMC
Lee S, Mogle JA, Jackson CL, Buxton OM. What’s not fair about work keeps me up: Perceived unfairness about work impairs sleep through negative work-to-family spillover. Soc Sci Res. 2019;81:23–31. doi:10.1016/j.ssresearch.2019.03.002 PubMed DOI PMC
Lawton MP. Environment and other determinants of well-being in older people. Gerontologist. 1983;23(4):349–357. doi:10.1093/geront/23.4.349 PubMed DOI
Bakker AB, Demerouti E. Job demands-resources theory: Taking stock and looking forward. J Occup Health Psychol. 2017;22(3):273–285. doi:10.1037/ocp0000056 PubMed DOI
Reijseger G, Schaufeli WB, Peeters MCW, Taris TW, van Beek I, Ouweneel E. Watching the paint dry at work: psychometric examination of the Dutch Boredom Scale. Anxiety, Stress Coping. 2013;26(5):508–525. doi:10.1080/10615806.2012.720676 PubMed DOI
French KA, Allen TD, Henderson TG. Challenge and hindrance stressors in relation to sleep. Soc Sci Med. 2019;222(November 2018):145–153. doi:10.1016/j.socscimed.2019.01.009 PubMed DOI
Epel ES. The geroscience agenda: Toxic stress, hormetic stress, and the rate of aging. Ageing Res Rev. 2020;63:101167. doi:10.1016/j.arr.2020.101167 PubMed DOI PMC
Yerkes RM, Dodson JD. The relation of strength of stimulus to rapidity of habit-formation. J Comp Neurol Psychol. 1908;18:459–482. doi:10.1002/cne.920180503 DOI
Calabrese EJ. Converging concepts: Adaptive response, preconditioning, and the Yerkes-Dodson Law are manifestations of hormesis. Ageing Res Rev. 2008;7(1):8–20. doi:10.1016/j.arr.2007.07.001 PubMed DOI
Karasek RA, Theorell T. Healthy Work: Stress, Productivity and the Reconstruction of Working Life. Basic Books; 1990.
Xanthopoulou D, Bakker AB, Dollard MF, et al. When do job demands particularly predict burnout? The moderating role of job resources. J Manag Psychol. 2007;22(8):766–786. doi:10.1108/02683940710837714 DOI
Litwiller B, Snyder LA, Taylor WD, Steele LM. The relationship between sleep and work: A meta-analysis. J Appl Psychol. 2017;102(4):682–699. doi:10.1037/apl0000169 PubMed DOI
Linton SJ, Kecklund G, Franklin KA, et al. The effect of the work environment on future sleep disturbances: A systematic review. Sleep Med Rev. 2015;23:10–19. doi:10.1016/j.smrv.2014.10.010 PubMed DOI
Van Laethem M, Beckers DGJ, Kompier MAJ, Dijksterhuis A, Geurts SAE. Psychosocial work characteristics and sleep quality: A systematic review of longitudinal and intervention research. Scand J Work Environ Heal. 2013;39(6):535–549. doi:10.5271/sjweh.3376 PubMed DOI
Garefelt J, Platts LG, Hyde M, Magnusson Hanson LL, Westerlund H, Åkerstedt T. Reciprocal relations between work stress and insomnia symptoms: A prospective study. J Sleep Res. 2020;29(2):1–11. doi:10.1111/jsr.12949 PubMed DOI PMC
Li Y, Fang J, Zhou C. Work-related predictors of sleep quality in Chinese nurses: Testing a path analysis model. J Nurs Res. 2019;27(5):1–10. doi:10.1097/jnr.0000000000000319 PubMed DOI PMC
Muhamad Nasharudin NA, Idris MA, Young LM. The effect of job demands on health and work outcomes: A longitudinal study among Malaysian employees. PsyCh J. 2020;9(5):691–706. doi:10.1002/pchj.378 PubMed DOI
Stiglbauer B, Kovacs C. The more, the better? Curvilinear effects of job autonomy on well-being from vitamin model and PE-fit theory perspectives. J Occup Health Psychol. 2018;23(4):520–536. doi:10.1037/ocp0000107 PubMed DOI
Gadinger MC, Fischer JE, Schneider S, Fischer GC, Frank G, Kromm W. Female executives are particularly prone to the sleep-disturbing effect of isolated high-strain jobs: A cross-sectional study in German-speaking executives. J Sleep Res. 2009;18(2):229–237. doi:10.1111/j.1365-2869.2008.00715.x PubMed DOI
Buysse DJ. Sleep health: Can we define it? Does it matter? Sleep. 2014;37(1):9–17. doi:10.5665/sleep.3298 PubMed DOI PMC
Ryff CD, Krueger RF, ‘Approaching Human Health as an Integrative Challenge: Introduction and Overview’, in Ryff CD, Krueger RF (eds), The Oxford Handbook of Integrative Health Science (pp. 3-22). Oxford University Press, New York; 2018. doi:10.1093/oxfordhb/9780190676384.001.0001 DOI
Dijk DJ, Beersma DGM, Daan S. EEG Power Density during Nap Sleep: Reflection of an Hourglass Measuring the Duration of Prior Wakefulness. J Biol Rhythms. 1987;2(3):207–219. doi:10.1177/074873048700200304 PubMed DOI
Mantua J, Spencer RMC. Exploring the nap paradox: are mid-day sleep bouts a friend or foe? Sleep Med. 2017;37:88–97. doi:10.1016/j.sleep.2017.01.019 PubMed DOI PMC
Cousins JN, Leong RLF, Jamaluddin SA, Ng ASC, Ong JL, Chee MWL. Splitting sleep between the night and a daytime nap reduces homeostatic sleep pressure and enhances long-term memory. Sci Rep. 2021;11(1):1–15. doi:10.1038/s41598-021-84625-8 PubMed DOI PMC
Milner CE, Cote KA. Benefits of napping in healthy adults: Impact of nap length, time of day, age, and experience with napping. J Sleep Res. 2009;18(2):272–281. doi:10.1111/j.1365-2869.2008.00718.x PubMed DOI
Pan Z, Huang M, Huang J, Yao Z, Lin Z. Association of napping and all-cause mortality and incident cardiovascular diseases: a dose–response meta analysis of cohort studies. Sleep Med. 2020;74:165–172. doi:10.1016/j.sleep.2020.08.009 PubMed DOI
Lee S, Smith CE, Wallace ML, et al. Cardiovascular risks and sociodemographic correlates of multidimensional sleep phenotypes in two samples of US adults. SLEEP Adv. 2022;3(1):1–11. doi:10.1093/sleepadvances/zpac005 PubMed DOI PMC
Li P, Gao L, Yu L, et al. Daytime napping and Alzheimer’s dementia: A potential bidirectional relationship. Alzheimer’s Dement. 2022;(December 2021):1–11. doi:10.1002/alz.12636 PubMed DOI PMC
Dalmases M, Benítez ID, Mas A, et al. Assessing sleep health in a European population: Results of the catalan health survey 2015. PLoS One. 2018;13(4):1–13. doi:10.1371/journal.pone.0194495 PubMed DOI PMC
Lee S, Mu CX, Wallace ML, et al. Sleep health composites are associated with the risk of heart disease across sex and race. Sci Rep. 2022;12(1):1–11. doi:10.1038/s41598-022-05203-0 PubMed DOI PMC
Karasek RA, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The Job Content Questionnaire (JCQ): An instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol. 1998;3(4):322–355. doi:10.1037/1076-8998.3.4.322 PubMed DOI
Andel R, Crowe M, Kareholt I, Wastesson J, Parker MG. Indicators of job strain at midlife and cognitive functioning in advanced old age. Journals Gerontol - Ser B Psychol Sci Soc Sci. 2011;66(3):287–291. doi:10.1093/geronb/gbq105 PubMed DOI
Hawkins MAW, Gathright EC, Gunstad J, et al. The MoCA and MMSE as screeners for cognitive impairment in a heart failure population: A study with comprehensive neuropsychological testing. Hear Lung J Acute Crit Care. 2014;43(5):462–468. doi:10.1016/j.hrtlng.2014.05.011 PubMed DOI PMC
Hickman RJ, Khambaty T, Stewart JC. C-reactive protein is elevated in atypical but not nonatypical depression: Data from the National Health and Nutrition Examination Survey (NHANES) 1999–2004. J Behav Med. 2014;37(4):621–629. doi:10.1007/s10865-013-9510-0 PubMed DOI
Kline RB. Principles and Practice of Structural Equation Modeling. 2nd ed. Guilford Press; 2005.
Parker KN, Ragsdale JM. Effects of distress and eustress on changes in fatigue from waking to working. Appl Psychol Heal Well-Being. 2015;7(3):293–315. doi:10.1111/aphw.12049 PubMed DOI
Myllyntausta S, Kronholm E, Pulakka A, et al. Association of job strain with accelerometer-based sleep duration and timing of sleep among older employees. J Sleep Res. 2022;31(2):1–10. doi:10.1111/jsr.13498 PubMed DOI
Åkerstedt T, Nilsson PM, Kecklund G. Sleep and recovery. Res Occup Stress Well Being. 2009;7(2009):205–247. doi:10.1108/S1479-3555(2009)0000007009 DOI
Van Laethem M, Beckers DGJ, Geurts SAE, Garefelt J, Magnusson Hanson LL, Leineweber C. Perseverative Cognition as an Explanatory Mechanism in the Relation Between Job Demands and Sleep Quality. Int J Behav Med. 2018;25(2):231–242. doi:10.1007/s12529-017-9683-y PubMed DOI PMC
Mai QD, Jacobs AW, Schieman S. Precarious sleep ? Nonstandard work, gender, and sleep disturbance in 31 European countries. Soc Sci Med. 2019;237(July):112424. doi:10.1016/j.socscimed.2019.112424 PubMed DOI
Salas-Nicás S, Sembajwe G, Navarro A, Moncada S, Llorens C, Buxton OM. Job insecurity, economic hardship, and sleep problems in a national sample of salaried workers in Spain. Sleep Heal. 2020;6(3):262–269. doi:10.1016/j.sleh.2020.02.014 PubMed DOI
Patel NP, Grandner MA, Xie D, Branas CC, Gooneratne N. “Sleep disparity” in the population : poor sleep quality is strongly associated with poverty and ethnicity. BMC Public Health. 2010;10:1–11. PubMed PMC
Kim S, Kim Y, Lim SS, Ryoo JH, Yoon JH. Long Commute Time and Sleep Problems with Gender Difference in Work–Life Balance: A Cross-sectional Study of More than 25,000 Workers. Saf Health Work. 2019;10(4):470–475. doi:10.1016/j.shaw.2019.08.001 PubMed DOI PMC
Allen TD, Golden TD, Shockley KM. How effective is telecommuting? Assessing the status of our scientific findings. Psychol Sci Public Interes. 2015;16(2):40–68. doi:10.1177/1529100615593273 PubMed DOI
Buxton OM, Lee S, Beverly C, et al. Work-family conflict and employee sleep: Evidence from IT workers in the Work, Family and Health Study. Sleep. 2016;39(10):1871–1882. doi:10.5665/sleep.6172 PubMed DOI PMC
Gao C, Chapagain NY, Scullin MK. Sleep Duration and Sleep Quality in Caregivers of Patients With Dementia A Systematic Review and Meta-analysis. JAMA Netw Open. 2019;2(8):1–15. doi:10.1001/jamanetworkopen.2019.9891 PubMed DOI PMC
Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J Appl Psychol. 2003;88(5):879–903. doi:10.1037/0021-9010.88.5.879 PubMed DOI