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Updated: Aug 30, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
Relationships Between Physical Activity Metrics of Intensity and Diabetes
Introduction:
Physical activity (PA) prevents diabetes-associated complications. Little is known about what constitutes effective PA interventions to mitigate diabetes. Identifying PA metrics associated with the efficacy of PA interventions will provide insight into devising strategies to treat diabetes.
Purpose:
The aim of this study was to analyze the relationships between preclinical and postclinical variables from a 10-week intervention designed to increase PA in adults with diabetes.
Methods:
A secondary analysis was performed to evaluate data using Wilcoxon rank sum test, permutation test and Spearman correlation to analyze hemoglobin A1c (HbA1c), weight, and PA metrics (maximum steps per episode, cadence, daily steps, and 6-minute walk).
Results:
Poststudy HbA1c level was associated with maximum steps (r = -0.63, P = .03) and 6-minute walk (r = -0.50, P = .09). Baseline weight was associated with average cadence (r = -0.76, P = .007), and poststudy weight was associated with average cadence (r = -0.60, P = .041) and maximum steps (r = -0.62, P = .03).
Conclusions:
Cadence and maximum steps per episode reflect PA intensity and were associated with HbA1c and weight in adults with diabetes.
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