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Reproducibility of a Standardized Actigraphy Scoring Algorithm for Sleep in a US Hispanic/Latino Population.

TitleReproducibility of a Standardized Actigraphy Scoring Algorithm for Sleep in a US Hispanic/Latino Population.
Publication TypePublication
Year2015
AuthorsPatel SR, Weng J, Rueschman M, Dudley KA, Loredo JS, Mossavar-Rahmani Y, Ramirez M, Ramos AR, Reid K, Seiger AN, Sotres-Alvarez D, Zee PC, Wang R
JournalSleep
Volume38
Issue9
Pagination1497-503
Date Published2015 Sep 01
ISSN1550-9109
Keywordsactigraphy, Adolescent, Adult, Algorithms, Female, Hispanic Americans, Humans, Male, Middle Aged, Reproducibility of Results, Self Report, sleep, Sleep Deprivation, Time Factors, Wrist, Young Adult
Abstract

STUDY OBJECTIVES: While actigraphy is considered objective, the process of setting rest intervals to calculate sleep variables is subjective. We sought to evaluate the reproducibility of actigraphy-derived measures of sleep using a standardized algorithm for setting rest intervals.DESIGN: Observational study.SETTING: Community-based.PARTICIPANTS: A random sample of 50 adults aged 18-64 years free of severe sleep apnea participating in the Sueño sleep ancillary study to the Hispanic Community Health Study/Study of Latinos.INTERVENTIONS: N/A.MEASUREMENTS AND RESULTS: Participants underwent 7 days of continuous wrist actigraphy and completed daily sleep diaries. Studies were scored twice by each of two scorers. Rest intervals were set using a standardized hierarchical approach based on event marker, diary, light, and activity data. Sleep/wake status was then determined for each 30-sec epoch using a validated algorithm, and this was used to generate 11 variables: mean nightly sleep duration, nap duration, 24-h sleep duration, sleep latency, sleep maintenance efficiency, sleep fragmentation index, sleep onset time, sleep offset time, sleep midpoint time, standard deviation of sleep duration, and standard deviation of sleep midpoint. Intra-scorer intraclass correlation coefficients (ICCs) were high, ranging from 0.911 to 0.995 across all 11 variables. Similarly, inter-scorer ICCs were high, also ranging from 0.911 to 0.995, and mean inter-scorer differences were small. Bland-Altman plots did not reveal any systematic disagreement in scoring.CONCLUSIONS: With use of a standardized algorithm to set rest intervals, scoring of actigraphy for the purpose of generating a wide array of sleep variables is highly reproducible.

DOI10.5665/sleep.4998
Alternate JournalSleep
PubMed ID25845697
PubMed Central IDPMC4531418
Grant ListKL2 TR000461 / TR / NCATS NIH HHS / United States
UL1 TR001073 / TR / NCATS NIH HHS / United States
HL098297 / HL / NHLBI NIH HHS / United States
MS#: 
0217
Manuscript Lead/Corresponding Author Affiliation: 
HCHS/SOL Baseline Visit - Sleep Center - Harvard Medical School/The Brigham & Women's Hospital
ECI: 
Manuscript Status: 
Published