Payroll data based description of working hours in the Danish regions

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.

In: Chronobiology International, Vol. 35, No. 6, 2018, p. 795-800.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

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, vol. 35, no. 6, pp. 795-800. https://doi.org/10.1080/07420528.2018.1466797

APA

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

Vancouver

Garde AH, Hansen J, Kolstad HA, Larsen AD, Pedersen J, Petersen JD et al. Payroll data based description of working hours in the Danish regions. Chronobiology International. 2018;35(6):795-800. https://doi.org/10.1080/07420528.2018.1466797

Author

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. In: Chronobiology International. 2018 ; Vol. 35, No. 6. pp. 795-800.

Bibtex

@article{88bcdc4ee6ec4d3891443f08338ab9c3,
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.",
author = "Garde, {Anne Helene} and Johnni Hansen and Kolstad, {Henrik A} and Larsen, {Ann Dyreborg} and Jacob Pedersen and Petersen, {Jindong Ding} and Hansen, {{\AA}se Marie}",
year = "2018",
doi = "10.1080/07420528.2018.1466797",
language = "English",
volume = "35",
pages = "795--800",
journal = "Chronobiology International",
issn = "0742-0528",
publisher = "Taylor & Francis",
number = "6",

}

RIS

TY - JOUR

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

PY - 2018

Y1 - 2018

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.

U2 - 10.1080/07420528.2018.1466797

DO - 10.1080/07420528.2018.1466797

M3 - Journal article

C2 - 29764216

VL - 35

SP - 795

EP - 800

JO - Chronobiology International

JF - Chronobiology International

SN - 0742-0528

IS - 6

ER -

ID: 196695134