BACKGROUND: Shiftwork among health care workers impacts upon the safety and health of both employees and patients. AIMS: To characterize shiftwork-related attitudes, behaviours, symptoms and coping strategies among health care workers, two validated questionnaires (the Standard Shiftwork Index and the Pressure Management Indicator) were used to identify factors predicting shiftwork adaptation. METHODS: Participants (n = 376, response rate 25%) were grouped according to their work schedule (days, permanent evenings, rotating days plus evenings, permanent nights or relief and combined shifts). Indicators of lifestyle, work organization, sleep disruption, health and pressure management among workers on irregular shifts were compared with participants on day shifts, after adjustment for gender, age and marital status. Principal components analysis and ordinal logistic regression were used among irregular shiftworkers to identify factors predicting schedule adaptation. RESULTS: Night and relief/combined shiftworkers reported a greater ability to accommodate irregular schedules and disrupted sleep, but were also more likely to report work-related impacts than day workers. Permanent night workers generally reported poorer health, more absenteeism and less job satisfaction than day workers. Factors associated with optimal work performance or schedule contentment among shiftworkers included adequate sleep, evening circadian preference, increased age and organizational satisfaction. Reduced work performance or schedule discontent was associated with sleep/wake difficulties and poor health. CONCLUSIONS: This study confirmed previous research and identified factors that can be targeted for the development of more effective shiftwork adaptation programmes in a health care setting (sleep timing and duration, exercise and optimal health and organizational satisfaction).
BACKGROUND: Shiftwork among health care workers impacts upon the safety and health of both employees and patients. AIMS: To characterize shiftwork-related attitudes, behaviours, symptoms and coping strategies among health care workers, two validated questionnaires (the Standard Shiftwork Index and the Pressure Management Indicator) were used to identify factors predicting shiftwork adaptation. METHODS:Participants (n = 376, response rate 25%) were grouped according to their work schedule (days, permanent evenings, rotating days plus evenings, permanent nights or relief and combined shifts). Indicators of lifestyle, work organization, sleep disruption, health and pressure management among workers on irregular shifts were compared with participants on day shifts, after adjustment for gender, age and marital status. Principal components analysis and ordinal logistic regression were used among irregular shiftworkers to identify factors predicting schedule adaptation. RESULTS: Night and relief/combined shiftworkers reported a greater ability to accommodate irregular schedules and disrupted sleep, but were also more likely to report work-related impacts than day workers. Permanent night workers generally reported poorer health, more absenteeism and less job satisfaction than day workers. Factors associated with optimal work performance or schedule contentment among shiftworkers included adequate sleep, evening circadian preference, increased age and organizational satisfaction. Reduced work performance or schedule discontent was associated with sleep/wake difficulties and poor health. CONCLUSIONS: This study confirmed previous research and identified factors that can be targeted for the development of more effective shiftwork adaptation programmes in a health care setting (sleep timing and duration, exercise and optimal health and organizational satisfaction).
Authors: Michael D Wirth; James Burch; Nitin Shivappa; Susan E Steck; Thomas G Hurley; John E Vena; James R Hébert Journal: J Occup Environ Med Date: 2014-02 Impact factor: 2.162
Authors: Michael Wirth; James Burch; John Violanti; Cecil Burchfiel; Desta Fekedulegn; Michael Andrew; Hongmei Zhang; Diane B Miller; James R Hébert; John E Vena Journal: Chronobiol Int Date: 2011-05 Impact factor: 2.877
Authors: Karen Hopcia; Jack Tigh Dennerlein; Dean Hashimoto; Terry Orechia; Glorian Sorensen Journal: Workplace Health Saf Date: 2012-09-24 Impact factor: 1.413
Authors: Michael Wirth; John E Vena; Emily K Smith; Sarah E Bauer; John Violanti; James Burch Journal: Am J Ind Med Date: 2012-12-19 Impact factor: 2.214
Authors: Michael Wirth; James Burch; John Violanti; Cecil Burchfiel; Desta Fekedulegn; Michael Andrew; Hongmei Zhang; Diane B Miller; Shawn D Youngstedt; James R Hébert; John E Vena Journal: Neuro Endocrinol Lett Date: 2013 Impact factor: 0.765
Authors: Jaclyn Guess; James B Burch; Kisito Ogoussan; Cheryl A Armstead; Hongmei Zhang; Sara Wagner; James R Hebert; Patricia Wood; Shawn D Youngstedt; Lorne J Hofseth; Udai P Singh; Dawen Xie; William J M Hrushesky Journal: Integr Cancer Ther Date: 2009-11-18 Impact factor: 3.279