1. Associations between shift schedule characteristics with sleep, need for recovery, health and performance measures for regular (semi-) continuous 3-shift systems
- Author
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Wendy Koolhaas, A. Goudswaard, Hardy A. van de Ven, Michiel P. de Looze, Sandra Brouwer, Josue Almansa, Göran Kecklund, Jac J. L. van der Klink, Ute Bültmann, Public Health Research (PHR), Neuromechanics, and Research Institute MOVE
- Subjects
Gerontology ,Male ,Time Factors ,STRESS ,Cross-sectional study ,Shift work ,FATIGUE ,Occupational safety and health ,0302 clinical medicine ,Life ,Recovery ,Surveys and Questionnaires ,Safety, Risk, Reliability and Quality ,Workplace ,Fatigue ,Work, Health and Performance ,Healthy Worker Effect ,Work functioning ,Human factors and ergonomics ,Regression analysis ,Work Schedule Tolerance ,SP - Sustainable Productivity and Employability ,Middle Aged ,030210 environmental & occupational health ,TRAIN DRIVERS ,Occupational Diseases ,MORNING WORK ,Human experiment ,Health ,RELIABILITY ,Female ,Sleep research ,Statistical model ,Psychology ,Fatigue of materials ,Healthy Living ,MENTAL-HEALTH ,Human ,Adult ,Sleep Wake Disorders ,Rest ,Physical Therapy, Sports Therapy and Rehabilitation ,Human Factors and Ergonomics ,Need for recoveries ,LONG WORKING HOURS ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Humans ,QUALITY ,COHORT ,Work schedules ,VALIDITY ,Engineering (miscellaneous) ,Occupational Health ,Work schedule tolerance ,Work and Employment ,Need for recovery ,Mental health ,Cross-Sectional Studies ,ELSS - Earth, Life and Social Sciences ,Sleep ,Linear regression analysis ,030217 neurology & neurosurgery ,Demography ,Model - Abstract
In this cross-sectional study associations were examined between eight shift schedule characteristics with shift-specific sleep complaints and need for recovery and generic health and performance measures. It was hypothesized that shift schedule characteristics meeting ergonomic recommendations are associated with better sleep, need for recovery, health and performance. Questionnaire data were collected from 491 shift workers of 18 companies with 9 regular (semi)-continuous shift schedules. The shift schedule characteristics were analyzed separately and combined using multilevel linear regression models. The hypothesis was largely not confirmed. Relatively few associations were found, of which the majority was in the direction as expected. In particular early starts of morning shifts and many consecutive shifts seem to be avoided. The healthy worker effect, limited variation between included schedules and the cross-sectional design might explain the paucity of significant results. (C) 2016 Elsevier Ltd. All rights reserved.
- Published
- 2016
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