ArticlePloS one2015
Reliability of Objectively Measured Sedentary Time and Physical Activity in Adults.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
69 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Behaviour change interventions to promote physical activity in people with intermittent claudication: the OPTIMA systematic review.Health technology assessment (Winchester, England) · 2025Pooled it
- Association between parent and child physical activity: a systematic review.The international journal of behavioral nutrition and physical activity · 2020Pooled it
- Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.Sports medicine (Auckland, N.Z.) · 2017Pooled it
- Long-term outcomes of physical activity counseling in in-patients with major depressive disorder: results from the PACINPAT randomized controlled trial.Translational psychiatry · 2024Trial
- Contexts of sedentary time and physical activity among ageing workers and recent retirees: cross-sectional GPS and accelerometer study.BMJ open · 2021Trial
- Association of sitting time and breaks in sitting with muscle mass, strength, function, and inflammation in community-dwelling older adults.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018Trial
- Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry.Journal of medical Internet research · 2016Trial
- Objective Smartphone Screen Time Monitoring Among Caregivers of Preschool-Aged Children: Reliability Study of Monitoring Duration.JMIR mHealth and uHealth · 2026Article
- Accelerometer-Derived Physical Activity, Sedentary Behavior, and Continuous Glucose Monitoring-Derived Glycemic Variability in Adults with Type 2 Diabetes: A Longitudinal Repeated-Measures Study.Journal of functional morphology and kinesiology · 2026Article
- Robust Assessment of Free-Living Physical Behaviors and Activity Intensity Using Dual-Wearable Multitask Learning: Development and Evaluation Study From the Multicenter WEALTH Project.JMIR mHealth and uHealth · 2026Article
- Effects on 24-h physical behaviors and heart rate variability during sleep of a co-created workplace intervention to promote recovery in office workers with flexible work.Journal of activity, sedentary and sleep behaviors · 2026Article
- Perceived Neighborhood Environment and Objectively Assessed, Habitual Physical Activity Among US Adults: An All of Us Research Program Study.Journal of physical activity & health · 2026Article
- Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis.JMIR mHealth and uHealth · 2026Article
- An in-home engagement and usability study of GeRI: an open-source platform for remote symptom assessment and wearable activity monitoring in men with prostate cancer.Frontiers in digital health · 2026Article
- Digital assessment of real-world walking in people with impaired mobility: How many hours and days are needed?The international journal of behavioral nutrition and physical activity · 2025Article
- Passive Measures of Physical Activity and Cadence as Early Indicators of Cognitive Impairment: Observational Study.Journal of medical Internet research · 2025Observational
- Degree of rurality moderates the association of sedentary time with cognitive function in rural patients with cardiac diseases and depressive symptoms.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Article
- Patterns and correlates of sedentary behavior among university students.Journal of American college health : J of ACH · 2024Article
- Protocol for a feasibility randomized controlled trial of gentle yoga in older patients discharged from phase II cardiac rehabilitation.Contemporary clinical trials communications · 2024Article
- Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity.Journal of behavioral medicine · 2024Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn adults, a minimum of 3-5 days of accelerometer monitoring is usually considered appropriate to obtain reliable estimates of physical activity (PA). However, a longer period of measurement might be needed to obtain reliable estimates of sedentary behavior (SED). The aim of this study was to determine the reliability of objectively assessed SED and PA in adults.
methodsEighty-seven adult subjects (28 men; mean (standard deviation) age 31.3 (12.2) years; body mass index 23.7 (3.1) kg/m2) wore the GT3X+ accelerometer for 21 subsequent days, for which the reliability of different wear time criteria (8 to 12 h/day and 3 to 5 d/week) was explored. Variance partitioning along with the Spearman-Brown prophecy formula was used as the basis for determining intraclass-correlation coefficients (ICC) and the number of monitoring days needed (N) to achieve an ICC = 0.80. Week-by-week reliability was reported using ICC, Bland-Altman plots and absolute measures of agreement.
resultsSeven-10 days of monitoring was needed to reliably assess overall- (axis 1 and vector magnitude (VM) counts per minute (CPM)) and moderate-to-vigorous PA (MVPA), 3-4 days was needed for light PA (LPA), whereas the number of days needed for SED depended on whether adjustments were made for wear time (6-8 days) or not (13-15 days). The week-by-week ICC was ≥0.70 for all variables, with limits of agreement being ±267.8 cpm for CPM, ±352.3 cpm for VM CPM, ±76.8 min/day for SED, ±57.8 min/day for LPA and ±43.8 min/day for MVPA, equal to 1.0-1.6 standard deviations, when adjustment was made for wear time.
conclusionsFor most variables, more than one week of measurement was needed to achieve an ICC = 0.80. Correcting for wear time was crucial to reliably determine SED. Considerable week-by-week variability was found for all variables. Researchers need to be aware of substantial intra-individual variability in accelerometer-measurements.
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