A Machine-Learning Approach to Identify Risk Factors for Running-Related Injuries: Protocol for a Prospective Longitudinal Cohort Study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00026904

Enrollment

100

Registered

2021-10-21

Start date

2021-10-25

Completion date

Unknown

Last updated

2025-04-07

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

Conditions

Running injuries

Interventions

Group 1: The study will take place parallel to the pre-season and competition season in running. The study procedure provides for an initial measurement and an initial examination at the beginning of

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Running over 20 km a week. Free of injuries for three months.

Exclusion criteria

Exclusion criteria: Running under 20 km per week. Injuries within the last three months.

Design outcomes

Primary

Measure	Time frame
Influence of risk factors (internal/external load, osteological factors, biomechanical running parameters) on running injuries.	—

Secondary

Measure	Time frame
Relationships between risk factors (biomechanical running parameters, stress conditions, osteological factors, psychological factors, environment, footwear, etc.) for sustaining running injuries.	—

Countries

Germany

Contacts

Public ContactLina Rahlf

Europa-Universität Flensburg

lina.rahlf@uni-flensburg.de+49 461 805 2867

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 12, 2026