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Payroll data based description of working hours in the Danish regions [Epub ahead of print]

Garde AH, Hansen J, Kolstad HA, et al. Payroll data based description of working hours in the Danish regions [Epub ahead of print]. Chronobiology International 2018;
Date: 2018
Scientific Article
[Open access]The aim was to describe the organization of working hours in the Danish regions according to sex, age and calendar year. Based on the Danish Working Hour Database (DWHD), individuals were classified according to schedules: Permanent day (57.8%), evening (1.7%), or night (1.2%); day/evening (22.0%); day/night (6.6%); evening/night (0.6%); and day/evening/night (10.2%). More men (9.1%) than women (5.9%) worked day/night, whereas more women (10.9%) than men (7.4%) worked day/evening/night. More young than older employees worked day/evening/night, and fewer worked permanent day or night. From 2008 to 2015 we observed a trend towards more employees working permanent day and fewer employees working other schedules. Altogether DWHD provides a strong tool in research on working hours
Link: http://dx.doi.org/10.1080/07420528.2018.1466797
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28.05.2018
 
Updated  28.05.2018
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