Payroll data based description of working hours in the Danish regions-Reference-Cited by-同舟云学术

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Payroll data based description of working hours in the Danish regions

Published:2018-05-15 Issue:6 Volume:35 Page:795-800
ISSN:0742-0528
Container-title:Chronobiology International
language:en
Short-container-title:Chronobiology International

Author:

Garde Anne Helene¹²,Hansen Johnni³,Kolstad Henrik A.⁴,Larsen Ann Dyreborg¹,Pedersen Jacob¹,Petersen Jindong Ding⁵,Hansen Åse Marie¹²

Affiliation:

1. National Research Centre for the Working Environment, Copenhagen, Denmark

2. Department of Public Health, University of Copenhagen, Copenhagen, Denmark

3. The Danish Cancer Society Research Center, Copenhagen, Denmark

4. Danish Ramazzini Centre, Department of Occupational Medicine, Aarhus University Hospital, Aarhus, Denmark

5. Research Unit for General Practice, Department of Public Health, University of Southern Denmark, Odense, Denmark

Funder

NordForsk

Publisher

Informa UK Limited

Subject

Physiology (medical),Physiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07420528.2018.1466797

Reference19 articles.

1. Sleep Loss and Fatigue in Shift Work and Shift Work Disorder

2. Shiftwork and Sickness Absence Among Police Officers: The BCOPS Study

3. Implementation of self-rostering (the PRIO-project): effects on working hours, recovery, and health

4. How do different definitions of night shift affect the exposure assessment of night work?

5. Night shift work and incidence of diabetes in the Danish Nurse Cohort

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Validity of self-reported night shift work among women with and without breast cancer;Scandinavian Journal of Work, Environment & Health;2024-02-08

2. Night work during pregnancy and small for gestational age: a Danish nationwide register-based cohort study;Occupational and Environmental Medicine;2023-10-09

3. Night shift work characteristics and risk of incident coronary heart disease among health care workers: national cohort study;International Journal of Epidemiology;2023-09-23

4. Distribution of working hour characteristics by race, age, gender, and shift schedule among U.S. manufacturing workers;Chronobiology International;2023-01-24

5. Night and evening shifts and risk of calling in sick within the next two days – a case-crossover study design based on day-to-day payroll data;Scandinavian Journal of Work, Environment & Health;2022-11-29

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