Payroll data based description of working hours in the Danish regions

Anne Helene Garde*, Johnni Hansen, Henrik A. Kolstad, Ann Dyreborg Larsen, Jacob Pedersen, Jindong Ding Petersen, Åse Marie Hansen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

117 Downloads (Pure)

Abstract

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.

Original languageEnglish
JournalChronobiology International
Volume35
Issue number6
Pages (from-to)795-800
ISSN0742-0528
DOIs
Publication statusPublished - Jun 2018
Event23rd International Symposium on Shiftwork and Working Time: Toward a Global Consensus - Uluru, Australia
Duration: 19. Jun 201723. Jun 2017

Conference

Conference23rd International Symposium on Shiftwork and Working Time
Country/TerritoryAustralia
CityUluru
Period19/06/201723/06/2017

Keywords

  • DWHD
  • payroll data
  • register data
  • shift work
  • working hours

Fingerprint

Dive into the research topics of 'Payroll data based description of working hours in the Danish regions'. Together they form a unique fingerprint.

Cite this