Related Experiment Video
Updated: Jun 17, 2026

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
Published on: August 8, 2019
Characterizing device-measured sleep in observational health research using compositional data analysis: a systematic
Christine W St Laurent1, Guilherme Moraes Balbim2, Denver M Y Brown3
1Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA. cstlaurent@umass.edu.
None:
Compositional data analysis (CoDA) is widely used to examine the associations between one's balance of movement behaviors (sedentary behavior, physical activity, and sleep) and health outcomes. Existing reviews have primarily focused on reporting standards for physical activity and sedentary behavior, but have not considered the contribution of sleep reporting to our understanding of CoDA.Purpose To characterize device-based sleep data measurement, processing, and reporting in studies using CoDA to examine associations between movement behaviors and health indicators.Methods A systematic search was conducted in seven databases, along with supplemental strategies (forward and backward citation searches and expert review). Observational studies published since 2015 that employed CoDA approaches using isometric log-ratio transformations to examine the associations between movement behavior compositions utilizing device-based measures of sleep and health outcomes were included. Data extraction included items based on sleep actigraphy measurement, processing, and reporting practices recommended by the American Academy of Sleep Medicine. The National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-sectional Studies was used to assess study quality.Results Among the 70 included studies (n = 60 cross-sectional, n = 10 longitudinal), few articles reported key sleep measurement and processing information. Most articles (n = 67) included only one sleep component in the time-use composition, and less than half of the articles (n = 29) acknowledged sleep-related limitations. Reports were classified as having good (n = 60) or poor (n = 10) study quality.Conclusions This review identified inconsistencies in the measurement, processing, and reporting of device-measured sleep in studies using CoDA. Varying protocols and reporting on sleep data processing highlight the need for adoption of current standardized approaches and reporting practices. Future research should prioritize transparency and consistency to improve the validity and comparability of findings on sleep's role as a key component of the integrative 24-h approach to health.
Related Concept Videos
Substance Use Disorders Affecting Sleep
Understanding the concepts of physical dependence,...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Correlations
Mechanistic Models: Compartment Models in Individual and Population Analysis
Blind Procedures

