Publication Cover
Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 24, 2007 - Issue 3
117
Views
4
CrossRef citations to date
0
Altmetric
Original

Quantification of Circadian Phase Shifts with the Cross‐Correlation Technique

, &
Pages 449-461 | Received 08 Nov 2006, Accepted 12 Feb 2007, Published online: 07 Jul 2009
 

Abstract

This paper concerns the applicability of the cross‐correlation technique for the assessment of shifts of the circadian system (e.g., caused by night work). Melatonin and cortisol profiles of 52 healthy young men were ascertained during two 24 h phase assessment procedures. The first was performed after three consecutive day shifts, and the second was performed one week later on 24 men again after three day shifts and on 28 men after three night shifts, where adaptation to night work was accelerated by bright light. The cross‐correlation technique that relies on the processing of all the measured data of a whole profile, as compared to the differences between temporal parameters determined with a conventional method, provided reliable estimates of the phase shifts. Its applicability is restricted to time series with similar profiles assessed at different times and to observation periods of a full diurnal cycle (in the case of substantial shifts) with equally distributed measures, but it is applicable to raw data and available in common statistical packages (e.g., SPSS, SAS, BMDP).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 489.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.