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Using Real Time Biofeedback to Alter Running Mechanics

Using Real Time Biofeedback to Alter Running Biomechanics

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02495792
Enrollment
191
Registered
2015-07-13
Start date
2015-01-31
Completion date
2016-05-31
Last updated
2024-04-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy

Brief summary

The purposes of this study are 1) to assess foot strike patterns initially, at six months and at one year between two groups of runners attempting to transition to a non-rearfoot strike pattern (NRFS) with and without the use of biofeedback technology, and 2) to prospectively compare injury incidence rates at one year between NRFS and rearfoot strike (RFS) runners.

Interventions

DEVICEBiofeedback Sensor

Tibia accelerometer strapped to distal tibia to detect tibial shock

Sponsors

Keller Army Community Hospital
Lead SponsorFED

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 50 Years
Healthy volunteers
Yes

Inclusion criteria

1. Between the age of 18 - 50 years 2. Run on average 12mi per week 3. DOD beneficiaries who intend to remain at West Point, NY for the next 12 months at time of study enrollment 4. Read and speak English well enough to provide informed consent and follow study instructions

Exclusion criteria

1. Known pregnancy currently or in the previous 6 months 2. Lower extremity or low back pain in the previous 3 months 3. Lower extremity or low back surgery in the previous 6 months 4. Any lower extremity or low back exercise limiting profile 5. Previous stress fracture of the foot 6. Participant who has a non-rearfoot strike running pattern

Design outcomes

Primary

MeasureTime frameDescription
Change in Foot Strike Pattern From BaselineImmediately post-training, 6mo post-training, and 1yr post-trainingFoot strike pattern will be either classified as rearfoot strike or non-rearfoot strike. This is determined by video analysis of 240hz camera. All participants baseline foot strike pattern was rearfoot at study enrollment.

Secondary

MeasureTime frameDescription
Injury Incidence Between Foot Strike Patterns1yrPercentage of runners that became injured over 1 yr. Injury defined as pain in the lower extremity that caused restriction or stoppage of running for at least one week, or required the runner to consult a physician or other health care professional.
Relative Risk of Injury1yrRisk of runner to develop a knee injury based on foot-strike pattern

Participant flow

Participants by arm

ArmCount
Control Group
Group does not receive the biofeedback sensor
59
Biofeedback Group
Group does receive the biofeedback sensor Biofeedback Sensor: Tibia accelerometer strapped to distal tibia to detect tibial shock
55
Total114

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyLost to Follow-up59
Overall StudyProtocol Violation3231

Baseline characteristics

CharacteristicControl GroupBiofeedback GroupTotal
Age, Continuous27.8 years
STANDARD_DEVIATION 9.6
25.7 years
STANDARD_DEVIATION 9.1
26.8 years
STANDARD_DEVIATION 9.4
Height173.1 Centimeters
STANDARD_DEVIATION 12.2
174.9 Centimeters
STANDARD_DEVIATION 8.3
174 Centimeters
STANDARD_DEVIATION 10.2
Sex: Female, Male
Female
15 Participants11 Participants26 Participants
Sex: Female, Male
Male
44 Participants44 Participants88 Participants
Weekly Mileage23.7 Kilometers per Week
STANDARD_DEVIATION 10.7
22.9 Kilometers per Week
STANDARD_DEVIATION 14
23.3 Kilometers per Week
STANDARD_DEVIATION 12.3
Weight74.3 Kilograms
STANDARD_DEVIATION 12.4
75.8 Kilograms
STANDARD_DEVIATION 11.8
75.1 Kilograms
STANDARD_DEVIATION 12.1

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 960 / 95
serious
Total, serious adverse events
0 / 960 / 95

Outcome results

Primary

Change in Foot Strike Pattern From Baseline

Foot strike pattern will be either classified as rearfoot strike or non-rearfoot strike. This is determined by video analysis of 240hz camera. All participants baseline foot strike pattern was rearfoot at study enrollment.

Time frame: Immediately post-training, 6mo post-training, and 1yr post-training

ArmMeasureGroupValue (NUMBER)
Control GroupChange in Foot Strike Pattern From BaselinePost-Training79 percentage of non-rearfoot strike patter
Control GroupChange in Foot Strike Pattern From Baseline6 months68 percentage of non-rearfoot strike patter
Control GroupChange in Foot Strike Pattern From Baseline1 year69 percentage of non-rearfoot strike patter
Biofeedback GroupChange in Foot Strike Pattern From BaselinePost-Training83 percentage of non-rearfoot strike patter
Biofeedback GroupChange in Foot Strike Pattern From Baseline6 months73 percentage of non-rearfoot strike patter
Biofeedback GroupChange in Foot Strike Pattern From Baseline1 year75 percentage of non-rearfoot strike patter
Secondary

Injury Incidence Between Foot Strike Patterns

Percentage of runners that became injured over 1 yr. Injury defined as pain in the lower extremity that caused restriction or stoppage of running for at least one week, or required the runner to consult a physician or other health care professional.

Time frame: 1yr

ArmMeasureValue (NUMBER)
Control GroupInjury Incidence Between Foot Strike Patterns37 percentage of injured runners
Biofeedback GroupInjury Incidence Between Foot Strike Patterns30 percentage of injured runners
Secondary

Relative Risk of Injury

Risk of runner to develop a knee injury based on foot-strike pattern

Time frame: 1yr

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Control GroupRelative Risk of InjuryDeveloped knee pain7 Participants
Control GroupRelative Risk of InjuryDid not develop knee pain25 Participants
Biofeedback GroupRelative Risk of InjuryDeveloped knee pain3 Participants
Biofeedback GroupRelative Risk of InjuryDid not develop knee pain79 Participants
95% CI: [1.6, 21.7]

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026