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Association of changes in work shifts and shift intensity with change in fatigue and disturbed sleep: a within-subject study

Published on Jul 1, 2018in Scandinavian Journal of Work, Environment & Health3.491
· DOI :10.5271/sjweh.3730
Mikko Härmä44
Estimated H-index: 44
,
Kati Karhula6
Estimated H-index: 6
+ 8 AuthorsMika Kivimaeki122
Estimated H-index: 122
Abstract
Objectives The aim of this study was to examine whether changes in work shifts and shift intensity are related to changes in difficulties to fall asleep, fatigue, and sleep length. Methods Questionnaire responses of hospital employees (N=7727, 93% women) in 2008, 2012, 2014 and 2015 were linked to daily-based records of working hours during three months preceding each survey. We used conditional logistic regression and longitudinal fixed-effects analyses to investigate odds ratios (OR) and 95% confidence intervals (CI) for each 25% within-individual change in the proportion of working hour characteristics in relation to changes in fatigue, difficulties to fall asleep, and 24-hour sleep length. Results Change in night but not in morning or evening shifts was associated with parallel changes in odds for longer sleep length (OR 1.45, 95% CI 1.28–1.64) and fatigue during free days (OR 1.38, 95% CI 1.16–1.64). Similarly, short shift intervals and having >2 but not >4 consecutive night shifts were associated with increased odds of fatigue during work and difficulties to fall asleep (OR 1.42, 95% CI 1.19–1.72 and OR 1.10, 95% CI 1.05–1.19, respectively). Among workers aged ≥50 years, the associations were the strongest between night shifts and longer sleep (OR 2.24, 95% CI 1.52–3.81) and between higher proportion of short shift intervals and fatigue during free days (OR 1.68, 95% CI 1.10–2.54). Conclusions Among shift workers with fatigue or sleep problems, decreasing the proportion of night shifts and quick returns and giving preference to quickly forward-rotating shift systems may reduce fatigue.
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#1Järnefelt Heli (UH: University of Helsinki)
Last. Christer Hublin (Finnish Institute of Occupational Health)H-Index: 20
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#1Päivi Vanttola (UH: University of Helsinki)H-Index: 3
#2Sampsa Puttonen (Finnish Institute of Occupational Health)H-Index: 29
Last. Mikko Härmä (Finnish Institute of Occupational Health)H-Index: 44
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#2Annina RopponenH-Index: 16
Last. Anne Helene Garde (UCPH: University of Copenhagen)H-Index: 22
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#1Annina Ropponen (Finnish Institute of Occupational Health)H-Index: 16
#2Aki Koskinen (Finnish Institute of Occupational Health)H-Index: 21
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#1Jules Ramon Brito Teixeira (UEFS: State University of Feira de Santana)
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AbstractObjective: To analyze the association of psychosocial risk factors at work, sociodemographic, and occupational characteristics with the level of physical activity among motorcycle taxi driv...
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#1A. Metlaine (Paris V: Paris Descartes University)H-Index: 10
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#2Anne Helene Garde (UCPH: University of Copenhagen)H-Index: 22
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Objective The aim of our study was to investigate the acute effect of night work during pregnancy on the risk of calling in sick the following day using register-based information and the workers as their own controls. Methods Using the payroll-based national Danish Working Hour Database, including all public hospital employees in Denmark, we identified 9799 pregnant women with ≥1 day shift and ≥1 night shift and ≥1 day of sick leave during the first 32 pregnancy weeks from January 2007 to Decem...
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#1WonYang Kang (Chonnam National University)H-Index: 2
#2Keun-Ho JangH-Index: 2
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#1A. Metlaine (Paris V: Paris Descartes University)H-Index: 10
#2Damien Leger (Paris V: Paris Descartes University)H-Index: 42
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