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

doi:10.1080/07420528.2018.1466797

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

13 Citationer (Scopus)

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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.

Originalsprog	Engelsk
Tidsskrift	Chronobiology International
Vol/bind	35
Udgave nummer	6
Sider (fra-til)	795-800
Antal sider	6
ISSN	0742-0528
DOI	https://doi.org/10.1080/07420528.2018.1466797
Status	Udgivet - 3 jun. 2018

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10.1080/07420528.2018.1466797Licens: CC BY

Payroll data based description of working hours in the Danish regionsForlagets udgivne version, 922 KBLicens: CC BY

Citationsformater

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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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AU - Petersen, Jindong Ding

AU - Hansen, Åse Marie

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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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Payroll data based description of working hours in the Danish regions

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