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Related Experiment Video

Updated: May 28, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Nighttime variability in wrist actigraphy.

Julie L Otte¹, Judith K Payne, Janet S Carpenter

¹Indiana University School of Nursing, Indianapolis, IN 46202, USA. jlelam@iupui.edu

Journal of Nursing Measurement

|October 19, 2011

Summary

This summary is machine-generated.

Wrist actigraphy can accurately measure sleep in breast cancer survivors (BCSs) using just one night of data. This simplifies objective sleep assessment for BCSs, providing reliable insights into their sleep patterns.

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Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

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Published on: April 7, 2020

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Last Updated: May 28, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

Published on: April 7, 2020

Area of Science:

Sleep Medicine
Oncology
Biomedical Engineering

Background:

Wrist actigraphy is a common tool for assessing sleep activity and circadian rhythms.
Breast cancer survivors (BCSs) often experience sleep disturbances, necessitating accurate objective sleep measurement.

Purpose of the Study:

To determine the minimum number of nights required for accurate objective sleep assessment using wrist actigraphy in BCSs.
To examine nighttime variability in Actiwatch parameters among BCSs.

Main Methods:

A descriptive, quantitative, repeated measures design was employed.
Participants (BCSs) wore an actigraph and completed a sleep diary for 7 consecutive nights.
Key parameters analyzed included wake after sleep onset (WASO), total sleep time (TST), sleep latency, sleep efficiency, and sleep disturbances.

Main Results:

No significant differences were found in WASO, TST, sleep latency, or sleep disturbances across nights of the week or monitoring nights (1-7).
Sleep efficiency was significantly better on Night 6 compared to Night 7.
While inter-individual variability was high (indicated by coefficients of variation), intra-individual (internight) variability in WASO and TST was low across the 7 nights.

Conclusions:

A single night of Actiwatch data may be sufficient for an accurate measure of usual sleep in BCSs.
This finding simplifies objective sleep monitoring protocols for BCSs.
Further research could explore the long-term stability of these findings and optimal data collection durations for specific research questions.