Journal
JOURNAL OF SPORTS SCIENCES
Volume 37, Issue 17, Pages 1996-2006Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2019.1614137
Keywords
Cadence; wearables; running
Categories
Funding
- COMMIT grant P3: Sensor-based engagement for improved health
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The purpose of the present study was to identify factors that underlie differences among runners in stride frequency (SF) as a function of running speed. Participants (N = 256; 85.5% males and 14.5% females; 44.1 +/- 9.8 years; 181.4 +/- 8.4 cm; 75.3 +/- 10.6 kg; mean +/- SD) shared their wearable data (Garmin Inc). Individual datasets were filtered to obtain representative relationships between stride frequency (SF) and speed per individual, representing in total 16.128 h of data. The group relationship between SF (72.82 to 94.73 strides center dot min(-1)) and running speed (V) (from 1.64 to 4.68 m center dot s(-1)) was best described with SF = 75.01 + 3.006 V. A generalised linear model with random effects was used to determine variables associated with SF. Variables and their interaction with speed were entered in a stepwise forward procedure. SF was negatively associated with leg length and body mass and an interaction of speed and age indicated that older runners use higher SF at higher speed. Furthermore, run frequency and run duration were positively related to SF. No associations were found with injury incidence, athlete experience or performance. Leg length, body mass, age, run frequency and duration were associated with SFs at given speeds.
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