The Relationship Between Stride Frequency and Gait at Different Body Weight Support Levels

The relationship between stride frequency (SF) and speed during gait is well researched. However, there is a gap in the research examining the relationship between these parameters when walking and running at matched speeds with different levels of body weight support (BWS). PURPOSE: To compare the relationship of SF, stride length (SL), and speed when walking and running at the same speeds with different levels of BWS. METHODS: Subjects (n=10, 4 females, 6 males: 42.2±17.6 yrs; 73.5±13.5 kg; 1.70±0.11 m; body fat 19.7±9.6%) completed a familiarization period using various BWS levels using a lower body positive pressure (LBPP) treadmill (Boost Treadmills, OH). An accelerometer (Cometa, Italy) was secured on the surface of the left leg. Prior to data collection, the subject’s walk to run gait transition speed (GTS) was determined (BWS0%: 1.72±0.28 m·s-1; BWS20%: 1.72±0.31 m·s-1; BWS50%: 1.58±0.36 m·s-1). Five test speeds were then determined based upon GTS (GTS, GTS±0.09 and ±0.18 m·s-1). Subjects then completed walking and running at each test speed at 0%, 20%, and 50% BWS. SF was determined using accelerometer data (2000 Hz). Specifically, the resultant acceleration was calculated and then six consecutive peaks were identified with each peak representing the start/end of a stride. SF was calculated as 5 strides divided by the time to complete the 5 strides. SL was calculated as SL = velocity/SF. A 2 (gait type: walk, run) x 3 (BWS: 0%, 20%, 50%) x 5 (speed: GTS, GTS±0.09 and ±0.18 m·s-1) repeated measures ANOVA was used with SF as the dependent variable (α=0.05). RESULTS: SF increased with speed for each BWS level for walking but not running (p0.05). CONCLUSION: The movement strategy to increase matched speeds was different for walking vs. running. At faster speeds and higher BWS levels, SF converged for walking and running. During walking, subjects increased speed by increasing SF for all BWS levels. However, during running at matched speeds, SF did not change across speeds, meaning that SL increased.

Publication Details

Journal
TopSCHOLAR (Western Kentucky University)
Published
2024-11-06
Primary Topic
Magnetic confinement fusion research
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article
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article

The Relationship Between Stride Frequency and Gait at Different Body Weight Support Levels

TopSCHOLAR (Western Kentucky University)
Magnetic confinement fusion research
article

The Relationship Between Stride Frequency and Gait at Different Body Weight Support Levels

article en

Abstract

The relationship between stride frequency (SF) and speed during gait is well researched. However, there is a gap in the research examining the relationship between these parameters when walking and running at matched speeds with different levels of body weight support (BWS). PURPOSE: To compare the relationship of SF, stride length (SL), and speed when walking and running at the same speeds with different levels of BWS. METHODS: Subjects (n=10, 4 females, 6 males: 42.2±17.6 yrs; 73.5±13.5 kg; 1.70±0.11 m; body fat 19.7±9.6%) completed a familiarization period using various BWS levels using a lower body positive pressure (LBPP) treadmill (Boost Treadmills, OH). An accelerometer (Cometa, Italy) was secured on the surface of the left leg. Prior to data collection, the subject’s walk to run gait transition speed (GTS) was determined (BWS0%: 1.72±0.28 m·s-1; BWS20%: 1.72±0.31 m·s-1; BWS50%: 1.58±0.36 m·s-1). Five test speeds were then determined based upon GTS (GTS, GTS±0.09 and ±0.18 m·s-1). Subjects then completed walking and running at each test speed at 0%, 20%, and 50% BWS. SF was determined using accelerometer data (2000 Hz). Specifically, the resultant acceleration was calculated and then six consecutive peaks were identified with each peak representing the start/end of a stride. SF was calculated as 5 strides divided by the time to complete the 5 strides. SL was calculated as SL = velocity/SF. A 2 (gait type: walk, run) x 3 (BWS: 0%, 20%, 50%) x 5 (speed: GTS, GTS±0.09 and ±0.18 m·s-1) repeated measures ANOVA was used with SF as the dependent variable (α=0.05). RESULTS: SF increased with speed for each BWS level for walking but not running (p0.05). CONCLUSION: The movement strategy to increase matched speeds was different for walking vs. running. At faster speeds and higher BWS levels, SF converged for walking and running. During walking, subjects increased speed by increasing SF for all BWS levels. However, during running at matched speeds, SF did not change across speeds, meaning that SL increased.

TopSCHOLAR (Western Kentucky University)
Openalex Percentile: Top 63%
Magnetic confinement fusion research
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