Universität zu Köln

Erren, Thomas C. and Morfeld, Peter (2014). Computing chronodisruption: How to avoid potential chronobiological errors in epidemiological studies of shift work and cancer. Chronobiol. Int., 31 (4). S. 589 - 600. PHILADELPHIA: TAYLOR & FRANCIS INC. ISSN 1525-6073

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Abstract

We ask if epidemiological studies into shift work and cancer may be prone to chronobiological errors. We illustrate how ignoring internal time ( IT), or chronotype, may lead to what we call IT errors. Errors from truncating relevant external time ( ET) information ( activities start before and do not end with the shift) we call ET errors. We develop how observational research may avoid potential chronobiological biases and how chronodisruption can be computed. We assess how IT and ET errors may have affected studies published so far with a focus on those that considered chronobiological information but were confined to night work.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Erren, Thomas C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Morfeld, Peter UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-450504
DOI:	10.3109/07420528.2013.877921
Journal or Publication Title:	Chronobiol. Int.
Volume:	31
Number:	4
Page Range:	S. 589 - 600
Date:	2014
Publisher:	TAYLOR & FRANCIS INC
Place of Publication:	PHILADELPHIA
ISSN:	1525-6073
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ROTATING NIGHT SHIFTS; BREAST-CANCER; RISK; NURSES; COHORT; SLEEP; CHRONOTYPE; PHASE; EXPOSURE; WOMEN Multiple languages Biology; Physiology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/45050