Measuring Distance Traveled with an Activity Monitor in Normal Dogs Participating in a 5K Race

Introduction: Improved outcome measures for dogs with disease that affects activity in their natural environment. The objective of this study was to test the accuracy of a mathematical model to predict distance traveled from AM data in a variety of dog breeds in a natural setting.

Materials and Methods: Client-owned dogs free of disease and participating in a 5K dog walk fundraiser were recruited. Patient morphometrics were documented and a synchronized AM and collar was randomly assigned. Race times, activity counts and steps taken were documented. A mathematical model was used to estimate distance travelled.

Results: Fort-four dogs completed the race. Median dog weight was 20.5 kg; 2.7–36.4, BCS was 5; 4–7, shoulder height was 41 cm; 19–66, race time was 48:48 minutes; 25:07–59:30, steps taken was 4367; 2689–7827 and activity counts were 169958; 61883–256440. Dog shoulder height had the greatest influence on stride length, step count could estimate distance travelled, activity counts could not. Estimated median distance travelled was 4809 m (range: 2339–12423) and mean 4954.4 ± 1652.5 m for the 5000 m event.

Discussion/Conclusion: The data suggest, that while some dogs may generate outlier data (> 2 SD from mean), distance travelled can be reasonably estimated using step counts from the AM tested. Understanding if distance travelled in normal versus dogs with OA is necessary to best utilize AM as an outcome tool. In addition, it is important to understand the effect size approved interventions have using this diagnostic tool so prudent clinical trials can be designed.

Acknowledgement: There was no proprietary interest.