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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
Published on: April 21, 2017
Comparisons of accelerometer and pedometer determined steps in free living samples
Timothy K Behrens1, Mary K Dinger
1Dept of Health Sciences, University of Colorado at Colorado Springs, Colorado, USA.
Journal of Physical Activity & Health
|April 14, 2011
Summary
This study found good agreement between accelerometer and pedometer step counts in free-living adults. However, potential measurement bias exists due to device sensitivity differences.
Area of Science:
- Physical activity monitoring
- Biomedical engineering
- Wearable technology
Background:
- Accurate measurement of daily physical activity is crucial for health research.
- Accelerometers and pedometers are commonly used devices to track steps per day (steps·d-1).
- Comparing these devices in free-living conditions is essential for data validity.
Purpose of the Study:
- To compare the accuracy of steps·d-1 measured by accelerometers versus pedometers.
- To assess the agreement and potential bias between these two common activity monitors.
- To analyze device performance in two distinct free-living adult populations.
Main Methods:
- Secondary analysis of data from two independent studies with identical protocols.
- Inclusion of two samples with detailed demographic information (Sample 1: N=99, Sample 2: N=74).
- Statistical comparison using correlation coefficients and Bland-Altman plots to assess agreement and bias.
Main Results:
- Strong positive correlations (r = .85 and r = 0.87) were observed between accelerometer and pedometer step counts in both samples.
- Bland-Altman analysis revealed agreement without significant bias (p > .05) between the devices.
- Small, inverse correlations were found between device step differences and moderate-to-vigorous physical activity (MVPA).
Conclusions:
- Accelerometer and pedometer devices demonstrate agreement in measuring steps·d-1 in free-living settings.
- Despite agreement, potential measurement bias may persist due to inherent differences in device sensitivity thresholds.
- Further research is warranted to understand the impact of sensitivity differences on physical activity assessment.

