ArticleThe international journal of behavioral nutrition and physical activity2019
Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS).
Article in The international journal of behavioral nutrition and physical activity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06239831 (Postoperative Respiratory and Activity Monitoring), which is not on this map. Cited by 47 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Postoperative Respiratory and Activity Monitoring
Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Advances in accelerometry for cardiovascular patients: a systematic review with practical recommendations.ESC heart failure · 2020Pooled it
- Sedentary behavior and activity patterns in Swedish log truck drivers - a descriptive cross-sectional study.Journal of occupational medicine and toxicology (London, England) · 2026Article
- Associations between accelerometer-assessed occupational and leisure-time sitting and self-reported cognitive dysfunction in Swedish middle-aged adults: a cross-sectional analysis from the SCAPIS study.BMC public health · 2026Article
- Prospective Physical Activity, Sitting and Sleep consortium (ProPASS): addressing methodological and geographical barriers to inform global public health guidelines, interventions and precision medicine.British journal of sports medicine · 2026Article
- Development and evaluation of wrist- and thigh-worn accelerometer algorithms using self-training machine learning models for classification of activity type and posture: towards device placement-agnostic methods in the ProPASS consortium.The international journal of behavioral nutrition and physical activity · 2026Article
- Associations between physical activity, sleep patterns and diet quality and menstrual health symptoms in midlife: evidence from the 1970 British Cohort Study.BMC women's health · 2026Article
- Associations Between 24-Hour Physical Behavior, Self-Perceived Stress, and Coping Self-Efficacy in Everyday Life: Ambulatory Assessment Study.JMIR mHealth and uHealth · 2026Article
- Distribution of device-measured 24-h movement behaviors in older adults: cross-sectional findings from the HUNT4 study.Scientific reports · 2026Article
- Validation and comparative study of the Motus system for accurately identifying movement behaviours using different sampling frequencies.Scientific reports · 2025Article
- Prospective associations between 24-h device-measured occupational and leisure-time physical activity and register-based musculoskeletal-related primary healthcare utilization among Danish workers.Scientific reports · 2025Article
- Associations between daily composition of 24 h physical behavior with affective states and working memory.Scientific reports · 2025Article
- Article
- Device-Measured 24-Hour Movement Behaviors and Blood Pressure: A 6-Part Compositional Individual Participant Data Analysis in the ProPASS Consortium.Circulation · 2025Article
- Effectiveness and Durability of a Workplace Sedentary Behavior Intervention Based on theBehavioral sciences (Basel, Switzerland) · 2024Article
- Evaluation of the ActiMotus Software to Accurately Classify Postures and Movements in Children Aged 3-14.Sensors (Basel, Switzerland) · 2024Article
- Composite activity type and stride-specific energy expenditure estimation model for thigh-worn accelerometry.The international journal of behavioral nutrition and physical activity · 2024Article
- Thigh-worn accelerometry: a comparative study of two no-code classification methods for identifying physical activity types.The international journal of behavioral nutrition and physical activity · 2024Article
- Article
- Is patients' activities of daily living self-care score in Norwegian home care a proxy for workers standing at work?BMC health services research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity. This requires harmonization of information on body postures, physical activity types, volumes and time patterns across different brands of devices. The aim of this study is to compare the physical behavior estimates provided by three different brands of thigh-worn accelerometers.
methodsTwenty participants volunteered for a 7-day free-living measurement. Three accelerometers - ActiGraph GT3X+, Axivity AX3 and ActivPAL Micro4 - were randomly placed in a vertical line on the midsection of the right thigh. Raw data from each accelerometer was processed and classified into 8 physical activities and postures using the Acti4 software. Absolute differences between estimates and the respective coefficient of variation (CV) were calculated.
resultsWe observed very minor differences between physical behavior estimates from three different accelerometer brands. When averaged over 24 h (1,440 min), the absolute difference (CV) between accelerometers were: 1.2 mins (0.001) for lying/sitting, 3.4 mins (0.02) for standing, 3.5 mins (0.06) for moving, 1.9 mins (0.03) for walking, 0.1 mins (0.19) for running, 1.2 mins (0.19) for stair climbing, 1.9 mins (0.07) for cycling. Moreover, there was an average absolute difference of 282 steps (0.03) per 24 h.
conclusionsPhysical behaviors were classified with negligible difference between the accelerometer brands. These results support harmonization of data from different thigh-worn accelerometers across multiple cohorts when analyzed in an identical manner.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.