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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jul 3, 2020
Date Accepted: Nov 12, 2020

The final, peer-reviewed published version of this preprint can be found here:

Comparison of the Physical Activity Measured by a Consumer Wearable Activity Tracker and That Measured by Self-Report: Cross-Sectional Analysis of the Health eHeart Study

Beagle AJ, Tison GH, Aschbacher K, Olgin JE, Marcus GM, Pletcher MJ

Comparison of the Physical Activity Measured by a Consumer Wearable Activity Tracker and That Measured by Self-Report: Cross-Sectional Analysis of the Health eHeart Study

JMIR Mhealth Uhealth 2020;8(12):e22090

DOI: 10.2196/22090

PMID: 33372896

PMCID: 7803477

Comparison of Physical Activity Measured by a Consumer Wearable Activity Tracker and Self-Report: Analysis of the Health eHeart Study

  • Alexander J. Beagle; 
  • Geoffrey H. Tison; 
  • Kirstin Aschbacher; 
  • Jeffrey E. Olgin; 
  • Gregory M. Marcus; 
  • Mark J. Pletcher

ABSTRACT

Background:

Commercially acquired wearable pedometers like the Fitbit provide objective, accurate measurements of active time and step counts, but it is unclear whether these measurements are more clinically meaningful than self-reported physical activity.

Objective:

To compare self-reported physical activity to Fitbit-measured step counts, and then determine which is a stronger predictor of BMI using data collected over the same period reflecting comparable physical activities.

Methods:

We performed a cross-sectional analysis of data collected by the Health eHeart Study, a large mobile health (mHealth) study of cardiovascular health and disease. Adults who linked commercially-acquired Fitbits used in free-living conditions with the Health eHeart Study and completed an IPAQ between 2013–2019 were enrolled (n=1,498). Fitbit step counts were used to quantify time by activity intensity in a manner comparable to the IPAQ classifications of total active time and time spent sedentary, walking, moderately active, or vigorously active. Fitbit steps/day was computed as a measure of overall activity for exploratory comparisons with IPAQ-measured overall activity (MET-hrs/week). Measurements of physical activity were directly compared by Spearman rank correlation. Strengths of associations with BMI for Fitbit vs. IPAQ measurements were compared using multivariable robust regression in the subset of participants with BMI and covariates measured.

Results:

Correlations between synchronous paired measurements from Fitbits and the IPAQ ranged in strength from weak to moderate (0.09–0.48). In the subset with BMI and covariates measured (n=586), Fitbit-derived predictors were generally stronger predictors of BMI than self-reported predictors. For example, an additional hour of Fitbit-measured vigorous activity per week was associated with nearly a full point reduction in BMI (-0.84 kg/m2; 95% CI: -1.35 – -0.32) in adjusted analyses, whereas the association between self-reported vigorous activity measured by IPAQ and BMI was substantially smaller in magnitude (-0.17 kg/m2, 95% CI: -0.34 – -0.00, P<0.001 versus Fitbit), and was dominated by the Fitbit-derived predictor when compared head-to-head in a single adjusted multivariable model. Similar patterns of associations with BMI, with Fitbit dominating self-report, were seen for moderate activity and total active time, and for a comparison between overall Fitbit steps/day and IPAQ MET-hrs/week on standardized scales.

Conclusions:

Fitbit-measured physical activity was more strongly associated with BMI than self-reported physical activity, particularly for moderate activity, vigorous activity, and summary measures of total activity. Consumer-marketed wearable pedometers like the Fitbit may be useful for measuring health-relevant physical activity in clinical practice and research.


 Citation

Please cite as:

Beagle AJ, Tison GH, Aschbacher K, Olgin JE, Marcus GM, Pletcher MJ

Comparison of the Physical Activity Measured by a Consumer Wearable Activity Tracker and That Measured by Self-Report: Cross-Sectional Analysis of the Health eHeart Study

JMIR Mhealth Uhealth 2020;8(12):e22090

DOI: 10.2196/22090

PMID: 33372896

PMCID: 7803477

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