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Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity
Abstract
The purpose of this study was to develop and test a generic technique to robustly quantify the pattern of sedentary behaviour from objective records. The technique was applied to four groups of subjects: a healthy group with an active occupation (N=54), a healthy group with a sedentary occupation (N=53), a group of subjects with chronic low back pain (N=5) and a group of subjects with chronic fatigue syndrome (N=14). This study presents the first evidence that bouts of sedentary activity are power law distributed. Results showed that there was no significant difference in total sedentary time between the groups, however, the patterns of accumulation of sedentary time were significantly different for the groups. Sedentary groups accumulated their total sedentary time from a small number of longer sedentary bouts. Active groups tended to break their sedentary time into a greater number of shorter bouts. This suggests that the power law exponent alpha and the GINI index G, used to describe the pattern of accumulation of sedentary time, could be used to evaluate and quantify sedentary behaviour.
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“The accelerometer data were classified every minute of the day as MVPA, SB or LIPA depending on a threshold. This method is less accurate than postural allocation at distinguishing between SB and LIPA [57], therefore it is possible that these two components of the composition might not be entirely accurate and that different thresholds might lead to different results.”
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Cited by
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Sedentary Behavior Research Network (SBRN)—Terminology Consensus Project process and outcome
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Metadata
- Authors
- Chastin, S. F. M., & Granat, M. H.
- Affiliations
- Glasgow Caledonian University (GB)
- Corresponding author
- Chastin, S.F.M.
- Venue
- Gait & Posture
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 31
- Issue
- 1
- Pages
- 82-86
- ISSN
- 0966-6362 (ISSN-L)
- OpenAlex
- W2031292431
- Cited by
- 323
- References
- 33
- Citations by year
- 2026: 15 · 2025: 11 · 2024: 22 · 2023: 17 · 2022: 22 · 2021: 20 · 2020: 28 · 2019: 20 · 2018: 26 · 2017: 22 · 2016: 30 · 2015: 23 · 2014: 19 · 2013: 18 · 2012: 14
- FWCI
- 6.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gait & Posture (publishedVersion)
- PubMed (publishedVersion)
- ResearchOnline (Glasgow Caledonian University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
- Keywords
- sedentary behavior, physical inactivity, sedentary bouts, power-law distribution, Gini coefficient, chronic low back pain, chronic fatigue syndrome
- MeSH terms
- Adult, Analysis of Variance, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Occupations, Posture, Fatigue Syndrome, Chronic, Low Back Pain, Sedentary Behavior
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