Who Are We Excluding From Physical Activity Research? Examining the Potential for Exclusion Bias in Pedometer Data Processing

Increasing stringency in pedometer data inclusion criteria can result in significant and biased loss of sample size. Clear reporting of data cleaning methods and rationale (including consideration of potential for bias) is needed in pedometer-based PA research.

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Publication Details

Journal
Journal of Physical Activity and Health
Published
2025-02-06
DOI
https://doi.org/10.1123/jpah.2024-0503
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Who Are We Excluding From Physical Activity Research? Examining the Potential for Exclusion Bias in Pedometer Data Processing

Anantha Narayanan, Melody Smith, Alana Cavadino
Journal of Physical Activity and Health
Physical Activity and Health
article

Who Are We Excluding From Physical Activity Research? Examining the Potential for Exclusion Bias in Pedometer Data Processing

Anantha Narayanan, Melody Smith, Alana Cavadino
article en

Abstract

Increasing stringency in pedometer data inclusion criteria can result in significant and biased loss of sample size. Clear reporting of data cleaning methods and rationale (including consideration of potential for bias) is needed in pedometer-based PA research.

Journal of Physical Activity and HealthVol. 22(4)
University of Auckland (NZ), Auckland University of Technology (NZ)
Reduced inequalities
Openalex Percentile: Top 97%
Physical Activity and Health
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