» Articles » PMID: 16408420

Actigraphy Scoring Reliability in the Study of Osteoporotic Fractures

Overview
Journal Sleep
Specialty Psychiatry
Date 2006 Jan 18
PMID 16408420
Citations 62
Authors
Affiliations
Soon will be listed here.
Abstract

Study Objectives: The editing and scoring of actigraphy data are important for calculating variables that describe sleep. Scoring is dependent on marking time points for when a participant got in and out of bed, plus time when the actigraph was removed. This placement of time points is subject to error. We examined interscorer reliability to determine if files scored by 2 different people were comparable.

Design: Observational study.

Setting: Community-based.

Participants: A subset of 36 women taken from the latest biannual visit of the Study of Osteoporotic Fractures. All women had actigraphy data scored by 1 scorer for the Study of Osteoporotic Fractures staff, plus a blinded rescoring by an expert scorer at a different site.

Interventions: N/A.

Measurements And Results: The outcomes of interest from actigraphy are duration of in-bed interval, total sleep time, sleep latency, sleep efficiency, wake after sleep onset, total nap time, and total daytime minutes of watch removal. Clearly documented actigraphy scoring procedures were used. There were no significant differences between the expert scorer and the study scorer in sleep outcomes (all P values >.16 from a paired t test). There was a small but statistically significant difference between scorers for watch removal times (mean absolute difference 3.4 minutes +/- 5.4, P=.02). The intraclass correlation coefficients showed a high level of agreement (range, 0.84-0.99).

Conclusions: Even in a large study with 2 scorers, it is possible to use actigraphy as a measure of sleep without introducing interscorer measurement error. Using well-documented scoring and data-gathering procedures are essential for data quality control.

Citing Articles

Associations of accelerometry-measured and self-reported physical activity and sedentary behavior with skeletal muscle energetics: The Study of Muscle, Mobility and Aging (SOMMA).

Qiao Y, Blackwell T, Cawthon P, Coen P, Cummings S, Distefano G J Sport Health Sci. 2024; 13(5):621-630.

PMID: 38341136 PMC: 11282341. DOI: 10.1016/j.jshs.2024.02.001.


Accelerometer-assessed sleep and decline in physical function in older men.

Holingue C, Owusu J, Tzuang M, Nyhuis C, Yaffe K, Stone K Sleep Health. 2023; 10(1):129-136.

PMID: 38143154 PMC: 10922516. DOI: 10.1016/j.sleh.2023.11.004.


Insomnia with objective short sleep duration in community-living older persons: A multifactorial geriatric health condition.

Miner B, Doyle M, Knauert M, Yaggi H, Stone K, Ancoli-Israel S J Am Geriatr Soc. 2022; 71(4):1198-1208.

PMID: 36524599 PMC: 10089942. DOI: 10.1111/jgs.18195.


Intelligent Method for Real-Time Portable EEG Artifact Annotation in Semiconstrained Environment Based on Computer Vision.

Qian X, Wang M, Wang X, Wang Y, Dai W Comput Intell Neurosci. 2022; 2022:9590411.

PMID: 35190736 PMC: 8858064. DOI: 10.1155/2022/9590411.


Actigraphy-derived sleep health profiles and mortality in older men and women.

Wallace M, Lee S, Stone K, Hall M, Smagula S, Redline S Sleep. 2022; 45(4).

PMID: 35037946 PMC: 8996026. DOI: 10.1093/sleep/zsac015.