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Three decades of continuous wrist-activity recording: analysis of sleep duration

Borbély, Alexander A; Rusterholz, Thomas; Achermann, Peter (2017). Three decades of continuous wrist-activity recording: analysis of sleep duration. Journal of Sleep Research, 26(2):188-194.

Abstract

Motor activity recording by a wrist-worn device is a common method to monitor the rest-activity cycle. The first author wore an actimeter continuously for more than three decades, starting in 1982 at the age of 43.5 years. Until November 2006 analysis was performed on a 15-min time base, and subsequently on a 2-min time base. The timing of night-time sleep was determined from the cessation and re-occurrence of daytime-level activity. Sleep duration declined from an initial 6.8 to 6 h in 2004. The declining trend was reversed upon retirement, whereas the variance of sleep duration declined throughout the recording period. Before retirement, a dominant 7-day rhythm of sleep duration as well as an annual periodicity was revealed by spectral analysis. These variations were attenuated or vanished during the years after retirement. We demonstrate the feasibility of continuous long-term motor activity recordings to study age-related variations of the rest-activity cycle. Here we show that the embeddedness in a professional environment imparts a temporal structure to sleep duration.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Pharmacology and Toxicology
07 Faculty of Science > Institute of Pharmacology and Toxicology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Life Sciences > Cognitive Neuroscience
Life Sciences > Behavioral Neuroscience
Language:English
Date:17 January 2017
Deposited On:10 Feb 2017 13:54
Last Modified:16 Oct 2024 01:40
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0962-1105
OA Status:Closed
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1111/jsr.12492
PubMed ID:28093825
Project Information:
  • Funder: SNSF
  • Grant ID: 32003B_146643
  • Project Title: Sleep onset and other state transitions: insights from quantitative EEG analysis

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