| Title: |
The Intensity Inequality Index for Physical Activity: A New Metric for Integrative Analysis of Movement. |
| Authors: |
Summers, Huw; Swindell, Nils; Starbuck, Chelsea; Stratton, Gareth |
| Source: |
Journal of Physical Activity & Health; Oct2025, Vol. 22 Issue 10, p1322-1331, 10p |
| Subject Terms: |
PHYSICAL activity; GINI coefficient; STATISTICAL hypothesis testing; EXERCISE intensity; WEARABLE technology; KINEMATICS; MOVEMENT disorders |
| Abstract: |
Background: Wearable sensors recording acceleration provide a powerful tool for analysis of physical activity (PA). Continuous, high-rate data acquisition over extended periods gives highly resolved measurement of movement intensity. While increased complexity of PA analytics allows for deeper insight, it brings a challenge to statistical testing, where commonly used approaches require a single defining metric for PA per participant. Methods: We adapt an econometric measure to obtain a statistical test metric for movement intensity—the intensity inequality index, I ≠ . This is a "Gini coefficient for movement" that quantifies the inequality in distribution of time spent across a range of activity intensity values. The I ≠ metric is calculated using a graphical method on plots of cumulative time versus cumulative intensity level. Hypothesis testing of I ≠ is performed on 24-hour activity traces of 58 children, aged 7–11 years, to assess statistical differences in PA between typically developing children and those suspected of having developmental coordination disorder. Results: The I ≠ test metric provided high statistical confidence with low sample numbers: P |
| : |
Copyright of Journal of Physical Activity & Health is the property of Human Kinetics Publishers, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |