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Computing chronodisruption: how to avoid potential chronobiological errors in epidemiological studies of shift work
Thomas C Erren1, Peter Morfeld
1Institute and Policlinic for Occupational Medicine, Environmental Medicine and Prevention Research, University of Cologne , Cologne , Germany and.
Chronobiology International
|January 15, 2014
Summary
Epidemiological studies on shift work and cancer risk may contain errors by ignoring internal time (chronotype) and external time (activity duration). Addressing these chronobiological biases is crucial for accurate research findings.
Area of Science:
- Chronobiology
- Epidemiology
- Cancer Research
Background:
- Shift work is a known risk factor for cancer.
- Epidemiological studies on shift work and cancer may be subject to chronobiological errors.
- Internal time (chronotype) and external time (activity duration) are critical factors in chronobiology.
Purpose of the Study:
- To investigate potential chronobiological errors in epidemiological studies of shift work and cancer.
- To define and illustrate internal time (IT) errors and external time (ET) errors.
- To propose methods for observational research to avoid chronobiological biases and compute chronodisruption.
Main Methods:
- Conceptual development of IT and ET errors.
- Analysis of potential impact of these errors on existing literature.
- Focus on studies examining night work and chronobiological information.
Main Results:
- Ignoring internal time (chronotype) can lead to IT errors.
- Truncating external time information can lead to ET errors.
- These errors may have affected previous shift work-cancer studies, particularly those on night work.
Conclusions:
- Epidemiological research on shift work and cancer must account for chronobiological factors.
- Implementing methods to correct for IT and ET errors is essential for accurate risk assessment.
- Further research is needed to refine chronobiological error computation and mitigation strategies.
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