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

*Kontaktforfatter for dette arbejde

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Resumé

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.

OriginalsprogEngelsk
TidsskriftChronobiology International
Vol/bind35
Udgave nummer6
Sider (fra-til)795-800
ISSN0742-0528
DOI
StatusUdgivet - jun. 2018
Begivenhed23rd International Symposium on Shiftwork and Working Time: Toward a Global Consensus - Uluru, Australien
Varighed: 19. jun. 201723. jun. 2017

Konference

Konference23rd International Symposium on Shiftwork and Working Time
LandAustralien
ByUluru
Periode19/06/201723/06/2017

Fingeraftryk

Databases
Research

Citer dette

Garde, A. H., Hansen, J., Kolstad, H. A., Larsen, A. D., Pedersen, J., Petersen, J. D., & Hansen, Å. M. (2018). Payroll data based description of working hours in the Danish regions. Chronobiology International, 35(6), 795-800. https://doi.org/10.1080/07420528.2018.1466797
Garde, Anne Helene ; Hansen, Johnni ; Kolstad, Henrik A. ; Larsen, Ann Dyreborg ; Pedersen, Jacob ; Petersen, Jindong Ding ; Hansen, Åse Marie. / Payroll data based description of working hours in the Danish regions. I: Chronobiology International. 2018 ; Bind 35, Nr. 6. s. 795-800.
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title = "Payroll data based description of working hours in the Danish regions",
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.",
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Garde, AH, Hansen, J, Kolstad, HA, Larsen, AD, Pedersen, J, Petersen, JD & Hansen, ÅM 2018, 'Payroll data based description of working hours in the Danish regions', Chronobiology International, bind 35, nr. 6, s. 795-800. https://doi.org/10.1080/07420528.2018.1466797

Payroll data based description of working hours in the Danish regions. / Garde, Anne Helene; Hansen, Johnni; Kolstad, Henrik A.; Larsen, Ann Dyreborg; Pedersen, Jacob; Petersen, Jindong Ding; Hansen, Åse Marie.

I: Chronobiology International, Bind 35, Nr. 6, 06.2018, s. 795-800.

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

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T1 - Payroll data based description of working hours in the Danish regions

AU - Garde, Anne Helene

AU - Hansen, Johnni

AU - Kolstad, Henrik A.

AU - Larsen, Ann Dyreborg

AU - Pedersen, Jacob

AU - Petersen, Jindong Ding

AU - Hansen, Åse Marie

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N2 - 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.

AB - 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.

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