ArticleJournal of obesity & weight loss therapy2011
Evaluation of the Accuracy of a Triaxial Accelerometer Embedded into a Cell Phone Platform for Measuring Physical Activity.
Article in Journal of obesity & weight loss therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Design and Evaluation of a Just-in-Time Adaptive Intervention (JITAI) to Reduce Sedentary Behavior at Work: Experimental Study.JMIR formative research · 2022Article
- Prediction of non-exercise activity thermogenesis (NEAT) using multiple linear regression in healthy Korean adults: a preliminary study.Physical activity and nutrition · 2021Article
- Accelerometer-Based Automated Counting of Ten Exercises without Exercise-Specific Training or Tuning.Journal of healthcare engineering · 2020Article
- Non-exercise activity thermogenesis (NEAT): a component of total daily energy expenditure.Journal of exercise nutrition & biochemistry · 2018Article
- A Mobile Phone App to Stimulate Daily Physical Activity in Patients with Chronic Obstructive Pulmonary Disease: Development, Feasibility, and Pilot Studies.JMIR mHealth and uHealth · 2016Article
- Quantification of Trunk Postural Stability Using Convex Polyhedron of the Time-Series Accelerometer Data.Journal of healthcare engineering · 2016Article
- Mobile Jump Assessment (mJump): A Descriptive and Inferential Study.JMIR rehabilitation and assistive technologies · 2015Article
- Mobile Romberg test assessment (mRomberg).BMC research notes · 2014Article
- Design and evaluation of theory-informed technology to augment a wellness motivation intervention.Translational behavioral medicine · 2014Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPhysical activity is important in health and weight management. Several cell phone platforms integrate an accelerometer onto the motherboard. Here we tested the validity of the cell phone accelerometer to assess physical activity in a controlled laboratory setting.
methods31 subjects wore the cell phone on their waist along with the validated Physical Activity Monitoring System (PAMS) with different body postures and during graded walking. Energy expenditure was measured using indirect calorimetry. 11 subjects also wore the iPhone at different locations such as arm, hand, pant pocket, etc.
resultsThe cell phone accelerometer was accurate and precise compared to the PAMS, with an intra-class correlation coefficient (r
conclusionAn accelerometer embedded into a cell phone was accurate and reliable in measuring and quantifying physical activity in the laboratory setting. Data from free-living users shows promise for deployment of a comprehensive integrated physical activity promoting and weight loss platform using such mobile technologies.
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.