OBJECTIVE: To assess the impact of sleep disturbances on work performance/productivity. METHODS: Employees (N = 4188) at four US corporations were surveyed about sleep patterns and completed the Work Limitations Questionnaire. Respondents were classified into four categories: insomnia, insufficient sleep syndrome, at-risk, and good sleep. Employer costs related to productivity changes were estimated through the Work Limitations Questionnaire. Performance/productivity, safety, and treatment measures were compared using a one-way analysis of variance model. RESULTS: Compared with at-risk and good-sleep groups, insomnia and insufficient sleep syndrome groups had significantly worse productivity, performance, and safety outcomes. The insomnia group had the highest rate of sleep medication use. The other groups were more likely to use nonmedication treatments. Fatigue-related productivity losses were estimated to cost $1967/employee annually. CONCLUSIONS: Sleep disturbances contribute to decreased employee productivity at a high cost to employers.
OBJECTIVE: To assess the impact of sleep disturbances on work performance/productivity. METHODS: Employees (N = 4188) at four US corporations were surveyed about sleep patterns and completed the Work Limitations Questionnaire. Respondents were classified into four categories: insomnia, insufficient sleep syndrome, at-risk, and good sleep. Employer costs related to productivity changes were estimated through the Work Limitations Questionnaire. Performance/productivity, safety, and treatment measures were compared using a one-way analysis of variance model. RESULTS: Compared with at-risk and good-sleep groups, insomnia and insufficient sleep syndrome groups had significantly worse productivity, performance, and safety outcomes. The insomnia group had the highest rate of sleep medication use. The other groups were more likely to use nonmedication treatments. Fatigue-related productivity losses were estimated to cost $1967/employee annually. CONCLUSIONS:Sleep disturbances contribute to decreased employee productivity at a high cost to employers.
Authors: Jennifer M Cori; Melinda L Jackson; Maree Barnes; Justine Westlake; Paul Emerson; Jacen Lee; Rosa Galante; Amie Hayley; Nicholas Wilsmore; Gerard A Kennedy; Mark Howard Journal: J Clin Sleep Med Date: 2018-06-15 Impact factor: 4.062
Authors: Najwa C Culver; Yeonsu Song; Sarah Kate McGowan; Constance H Fung; Michael N Mitchell; Juan Carlos Rodriguez; Joseph M Dzierzewski; Karen R Josephson; Stella Jouldjian; Donna L Washington; Elizabeth M Yano; C Amanda Schweizer; Cathy A Alessi; Jennifer L Martin Journal: Clin Ther Date: 2016-10-27 Impact factor: 3.393
Authors: Orfeu M Buxton; Soomi Lee; Chloe Beverly; Lisa F Berkman; Phyllis Moen; Erin L Kelly; Leslie B Hammer; David M Almeida Journal: Sleep Date: 2016-10-01 Impact factor: 5.849