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What's broken in return-to-run?

Most running injuries develop gradually when training outpaces the body’s ability to adapt. While rehab restores function and builds load tolerance, nearly half of runners remain stuck in the injury–rehab–relapse cycle. OnTracx supports breaking this cycle with smarter load management for safe return to run.

What's broken in return-to-run?

Too much to read

  • Most running injuries happen when cumulative load outpaces tissue tolerance.
  • Load can rise by 30–50 % in weeks, while tissues strengthen by only 1–2 % per month — a recipe for overload and relapse.
  • Even a short running session can generate 10× more cumulative load than 45 minutes of rehab exercises — making running one of the most mechanically demanding activities.

OnTracx bridges the gap between load and tolerance, turning raw data into personalized, load-based progression plansthat help runners return stronger, not sooner.

Why runners relapse after injury: the missing link between load and load tolerance

Runners are driven by progress — longer distances, faster splits, stronger results. But that same drive often leads to a familiar cycle: injury, rehab, recovery… and relapse. In fact, research shows that up to half of athletes reinjure themselves when returning to full training too quickly (Brophy et al., 2022).

The problem isn’t motivation. It’s a mismatch between how fast training load increases and how slowly tissue tolerance adapts. Understanding that gap is the key to staying injury-free.

The science of balance: load vs. tolerance

Every step you take applies a certain biomechanical load to your body. Across thousands of strides, that load accumulates — stressing muscles, tendons, and bones. According to Bertelsen et al. (2017), a running-related injury occurs when cumulative loadings exceed the body’s capacity (or tolerance) to withstand them.

Within safe limits, tissues adapt and strengthen. But when loading repeatedly outpaces adaptation, microdamage builds faster than it can be repaired — and an overuse injury develops.

The issue is that load and tolerance adapt at very different speeds:

  • Load can increase by 30–50 % in just a few weeks, especially when distance or intensity rises quickly (Nielsen et al., 2014).
  • Tissue tolerance, on the other hand, improves slowly — often by 1–2 % per month, particularly in bone and tendon (Popp et al., 2020; Gregov et al., 2014).
That means runners can easily increase load much faster than their tissues can handle — setting the stage for overload and relapse.

The balance of load and tolerance over time. Adapted from www.TheRunningClinic.com Health Through Running

The imbalance in load sources: why running is different

Not all load is equal. While strength or mobility sessions are crucial for recovery, they simply don’t replicate the intensity or cumulative loading of running.

A study by Goodson et al. (2022) quantified impact load across common return-to-run drills. Most of these drills generated 1.0–2.8× bodyweight in load — far below the continuous repetitive load during running, where each step can exceed 3–4× bodyweight over thousands of cycles.  A typical rehab session might include 200–300 repetitions. In contrast, even a short, low-volume run can involve 3,000–5,000 foot strikes per leg, each transmitting the runner’s bodyweight through the lower limbs. Over a 30-minute session, this adds up to tens of thousands of cumulative bodyweights in total mechanical load — an intensity that few other forms of exercise match.

So while 45 minutes of strength training might feel challenging, the cumulative load of running can be ten times higher. It’s one of the most mechanically demanding forms of physical activity, despite being perceived as a “simple” aerobic exercise.

The injury cycle: how imbalance fuels relapse

Overuse injuries rarely happen suddenly — they develop gradually when cumulative load surpasses tissue tolerance over time.

  • Before injury: load increases too quickly while tolerance lags behind.
  • During rehab: load is drastically reduced to promote tolerance gains, which are typically modest.
  • After rehab: running resumes and load spikes again while tolerance remains low.

This imbalance explains why relapse rates of 30–50% are reported among runners returning to pre-injury training levels too soon (Brophy et al., 2022).

Traditional rehab often misses this critical point: it emphasizes pain reduction and functional recovery, but rarely quantifies mechanical load (especially during running). The absence of pain doesn’t mean your tissues can handle high load again — the mechanical tolerance curve lags behind the clinical recovery curve, meaning athletes may load faster than their bodies can adapt.

Without insight into how actual running load evolves relative to tolerance, re-injury risk remains high, even for those training “by feel.” By measuring biomechanical load step-by-step and comparing it to tissue tolerance, we can create individualized progression plans that match the body’s true adaptation rate.

That’s where technology like OnTracx can change the game — transforming abstract “mileage” into tangible, measurable load data. But it doesn’t stop there: it combines that load data, your individual tolerance profile and rehab info to generate a personalized training plan.
Cumulative load and tolerance across pre-injury, rehab, and post-rehab phases.

Case comparison: how load tolerance and profile shapes recovery

To illustrate, imagine two runners with the same pre-injury profile, similar running habits and even a comparable load–speed profile (meaning how their load changes with running speed). Yet their recovery journeys unfold very different.

The first runner is an experienced athlete with several years of consistent training and few prior injuries — a high-tolerance runner. After a mild soft-tissue injury, this athlete can resume training relatively soon and progress at a steady pace. Thanks to a higher load tolerance base, the body can safely absorb greater load increments without exceeding its adaptive capacity.

Now compare that to another runner who has less experience, a history of recurrent injuries, and lower tissue resilience — a low-tolerance runner recovering from a more severe injury. Their program must begin at a much lower load, progressing carefully through walk–run intervals and smaller weekly progressions. Because their tissues adapt more slowly, the risk of overload is higher, and their return to full running takes longer.

This simple contrast highlights the essence of load management: even with the same starting point, tolerance level and injury type can double or triple the time needed to return safely. A runner with high tolerance can safely progress faster, while a low-tolerance runner needs smaller, more gradual steps to rebuild tolerance and avoid overloading.

In this illustration, both runners share the same low-load profile, meaning each step produces relatively modest mechanical load. In reality, runners differ greatly in how much load they experience with each stride influenced by technique, body composition, footwear, and more. If the low-tolerance runner also experienced higher loads per step, their recovery would take even longer.

When tolerance improves slowly, managing load precisely becomes the difference between recovery and relapse. By quantifying each step and aligning it with the body’s tolerance curve, OnTracx allows clinicians and runners to progress based on what fits your recovery story.

Take-home Message

Overuse injuries are not just bad luck — they’re the result of cumulative load exceeding load tolerances of tissues. Running magnifies this mismatch because loads can spike dramatically, while tissues strengthen slowly.

By quantifying both, athletes and clinicians can finally see where they stand — and build load safely, sustainably, and scientifically.

Literature

Bertelsen, M. L., Hulme, A., Petersen, J., Brund, R. K., Sørensen, H., Finch, C. F., & Parner, E. T. (2017). A framework for the etiology of running-related injuries. Scandinavian Journal of Medicine & Science in Sports, 27(11), 1170–1180. https://doi.org/10.1111/sms.12883

Brophy, R. H., Yang, J., Peterson, D., & Comstock, R. D. (2022). Return to play and risk of reinjury after sports injury.Sports Health, 14(6), 774–781. https://doi.org/10.1177/19417381221093831

Derrick, T. R., Hamill, J., & Caldwell, G. E. (1998). Energy absorption of impacts during running at various stride lengths. Medicine & Science in Sports & Exercise, 30(1), 128–135. https://doi.org/10.1097/00005768-199801000-00018

Goodson, C., Brophy-Williams, N., Mills, D., & Willy, R. W. (2022). Vertical ground reaction forces during return-to-run drills: Implications for load management. Journal of Orthopaedic & Sports Physical Therapy, 52(12), 858–866. https://doi.org/10.2519/jospt.2022.11352

Gregov, C., Temesi, J., & Millet, G. Y. (2014). Adaptations of bone mass to training: Time course and influencing factors.European Journal of Applied Physiology, 114(10), 2143–2153. https://doi.org/10.1007/s00421-014-2921-4

Hreljac, A. (2004). Impact and overuse injuries in runners. Medicine & Science in Sports & Exercise, 36(5), 845–849. https://doi.org/10.1249/01.mss.0000126803.66636.dd

Nielsen, R. Ø., Parner, E. T., Nohr, E. A., Sørensen, H., Lind, M., & Rasmussen, S. (2014). Excessive progression in weekly running distance and risk of running-related injuries: An association which varies according to type of injury.Journal of Orthopaedic & Sports Physical Therapy, 44(10), 739–747. https://doi.org/10.2519/jospt.2014.5164

Popp, K. L., Hughes, J. M., Smock, A. J., Novotny, S. A., Stovitz, S. D., & Petit, M. A. (2020). Bone adaptation and mechanical loading in response to running and resistance training in men and women. Osteoporosis International, 31(6), 1083–1093. https://doi.org/10.1007/s00198-020-05346-5

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