The Shoulder Dysfunction & Load-Intolerance Cycle: A Proposed Framework for Repetitive Pressing

Hypotheses & open questions

How might mechanics, fatigue, symptoms, and exposure interact?

This proposed model organizes possible relationships among pressing mechanics, fatigue, movement responses, symptoms, and training exposure. Its links need to be tested separately. The diagram is not an inevitable progression or a diagnosis.

Key Takeaways

A cycle is useful only if it preserves uncertainty and reversibility.

The model organizes eight interacting states that can be observed and tested separately rather than assumed to form one inevitable chain.

Scapular dyskinesis is common in asymptomatic athletes; it is a finding, not a diagnosis.

Fatigue and pain can change movement, but the response may be protective, neutral or costly depending on context.

Modeled joint loading, EMG, bar kinematics, symptoms and injury are different endpoints.

Technique, recovery, load management, clinical care and support conditions can enter at multiple stages.

The published Launch Pad research changes the surface-mechanics/performance question; it does not validate a pain or injury pathway.

How to read the framework

Eight states, two-way transitions, many entry and exit points

Complex-systems injury models reject the idea that one isolated “risk factor” produces a predictable outcome. They ask how interacting constraints create a pattern over time [1]. This article applies that logic to repetitive pressing, but the cycle is a proposal: it is a map of testable links, not a validated natural history.

That distinction is essential because altered scapular motion is common without pain. Burn and colleagues synthesized 12 studies involving 1,401 athletes and reported dyskinesis in 61% of overhead athletes and 33% of nonoverhead athletes [2]. Hickey and colleagues pooled five prospective cohorts (419 athletes) and found a 43% higher future shoulder-pain risk when dyskinesis was present at baseline (RR 1.43, 95% CI 1.05–1.93) [3]. Prevalence and prospective association can coexist: a common sign may shift risk without identifying cause, diagnosis or destiny. The Scapular Summit consensus likewise treats dyskinesis as an impairment that must be interpreted inside a clinical examination, not as a diagnosis by itself [4].

AMM Research · Visual 59 · prevalence and prospective association

A common movement finding can shift risk without becoming a diagnosis

Two evidence layers answer different questions. Prevalence describes how often dyskinesis was observed; the prospective synthesis reports association with later shoulder pain.

  • Burn: 12 studies · n = 1,401
  • Hickey: 5 cohorts · n = 419
  • Clinical boundary: neither result identifies one cause

Reported dyskinesis prevalence

Systematic review · heterogeneous athlete samples

Overhead athletes61%
Nonoverhead athletes33%
Authors’ abstract values; the review did not test a bench, support surface, diagnosis, or treatment. Study [2].

Future shoulder-pain incidence

Asymptomatic athletes followed for 9–24 months

Dyskinesis present35% 56/160
Dyskinesis absent25% 65/259
Raw incidence from the pooled cohorts. This was not a bench-press or equipment study. Study [3].

Relative risk with 95% confidence interval

Point estimate 1.43 · 95% CI 1.05–1.93 · vertical dashed line = no association (RR 1.0)

Association is not cause, diagnosis, destiny, or an individual risk prediction. Study [3].
Read the two findings together: dyskinesis can be common without pain and still be associated with a modest increase in later pain risk. Clinical interpretation requires more than visual classification.

AMM Research · Visual 58 · proposed feedback model

The Shoulder Dysfunction & Load-Intolerance Cycle

The realistic scene orients the reader to the training, mechanical, symptom, and clinical contexts. The exact eight-state model remains native text below.

Four-panel explanatory montage showing a lifter bench pressing, neutral biomechanical views of the shoulder and bar, and a clinician assessing the athlete's shoulder.Orientation layer only · the image does not encode links, probability, timing, or a mandatory order.
01 · Direct / descriptiveTask constraintsload · grip · range · surface
02 · Direct / modeledAltered mechanicsbar path · pose · external / modeled forces
03 · InferenceLocal demandmuscle · joint · tissue
04 · DirectFatiguewithin-set · accumulated
05 · Direct / variableMovement adaptsprotective · performance-led · costly
06 · AssociationSymptom responsepain · apprehension · recovery
07 · ProposedReduced toleranceless capacity for the same task
08 · ExposureRepeated pressingdose meets current state

Every adjacent state can influence its neighbor in either direction; Stage 08 reconnects with Stage 01. Athletes may enter, stabilize, or exit at any stage.

TechniqueChange execution or range
LoadChange dose or proximity to fatigue
RecoveryChange frequency and restoration
Clinical careAssess, diagnose and treat
SupportChange the physical condition
The evidence labels describe the link type, not a grade for an individual athlete. Connections show possible influence in both directions, not inevitable progression. The illustration is explanatory, not a measured participant sequence.
The framework has no mandatory starting point, no irreversible step and no product positioned as a universal exit.

AMM Research · Visual 60 · Mausehund et al. (2022)

Lateral hand force changes the mechanical record

Mean lateral-to-vertical barbell-force ratio across four bench-press techniques. Positive values are lateral; the small negative value is medial.

Medium grip.17 ± .06
Wide grip.38 ± .07
Narrow · elbows in.01 ± .05
Narrow · elbows out−.03 ± .06
Means ± SD · n = 35. Conditions used their own 6–8RM loads, so this is not an equal-load ranking and not a pain or injury outcome. Study [6].
Omitting lateral hand forces can distort net joint-moment calculations. This chart supports better measurement; it does not identify a universally preferred technique.

Practical use

Intervene at the earliest observable link—then verify the response

The model is not a checklist for locating one root cause. It is a measurement plan: identify the state that can be observed, change one defensible input and watch both the intended outcome and downstream response.

01 · ObserveName the measurable state
02 · ChangeAdjust one defensible input
03 · RemeasureTrack intended and downstream responses
04 · DecideKeep, revise, or escalate
Before symptoms

Standardize. Record grip, range, contacts, support, load and fatigue endpoint. Use video or velocity only if the measurement changes a decision.

Technique drifts

Decide what it means. A changed bar path may be an acceptable solution or an invalid repetition. Apply the rule specified before the set.

Recovery worsens

Adjust exposure. Reduce dose, proximity to failure, range or frequency; then observe whether tolerance returns rather than assuming one mechanical cause.

Symptoms persist

Escalate appropriately. Clinical assessment can identify diagnoses, red flags and individualized constraints that this training framework cannot.

The relationship is bidirectional. Better capacity can expand tolerable exposure; an appropriate exposure can build capacity. Pain reduction may permit cleaner practice, and cleaner practice may improve confidence. Conversely, rest alone may reduce symptoms without restoring tolerance for the original task.

Where the support interface belongs

A changed surface enters at the task-constraint stage

The Launch Pad studies provide direct evidence that one complete support condition changed acute repetition mechanics/performance and longitudinal performance under specific programs. They do not validate the full cycle or establish a clinical interruption.

Acute crossover · n = 10 resistance-trained men

The surface changed measured repetition outputs

Measured

Right/left pectoralis sEMG, mean/peak velocity, vertical bar displacement and power.

Result and boundary

The Launch Pad condition produced 24.4% and 27.1% higher pectoralis sEMG, 17.5% and 15.8% higher mean/peak velocity and 15.8% greater vertical displacement. Power was 8.8% higher but nonsignificant after correction (p = .071) [12]. No pain or injury outcome was measured.

AMM Research · Visual 61 · Kidwell et al. (2026)

Six outcomes from the acute crossover

Condition means from 10 trained men performing five repetitions at 70% 1RM. Each chart uses its own zero-origin unit scale; SD is printed rather than implied by bar length.

Right pectoralis sEMG

Flat70.2 % MVC
Launch Pad87.3 % MVC

Zero-origin scale to 120% MVC. Mean ± SD: 70.2 ± 24.8 vs 87.3 ± 20.1; p < .001.

Left pectoralis sEMG

Flat68.3 % MVC
Launch Pad86.8 % MVC

Zero-origin scale to 120% MVC. Mean ± SD: 68.3 ± 23.4 vs 86.8 ± 20.0; p < .001.

Mean bar velocity

Flat0.40 m/s
Launch Pad0.47 m/s

Zero-origin scale to 0.8 m/s. Mean ± SD: 0.40 ± 0.09 vs 0.47 ± 0.09; p < .001.

Peak bar velocity

Flat0.57 m/s
Launch Pad0.66 m/s

Zero-origin scale to 0.8 m/s. Mean ± SD: 0.57 ± 0.11 vs 0.66 ± 0.09; p < .001.

Vertical displacement

Flat38 cm
Launch Pad44 cm

Zero-origin scale to 60 cm. Mean ± SD: 38 ± 7 vs 44 ± 4; p = .005.

Concentric power

Flat249 W
Launch Pad271 W

Zero-origin scale to 400 W. Mean ± SD: 249 ± 103 vs 271 ± 93; p = .071, not significant.

Five outcomes differed statistically in the reported analysis. Concentric power did not. These are acute repetition outcomes, not pain, injury, hypertrophy, or proof that one acute mediator caused a later adaptation. Study [12].

In a four-week trial of 42 intermediate-trained men, the same supervised eccentric-overload program produced an average 1-RM gain of 18.4 kg (40.6 lb) with the Launch Pad versus 11.1 kg (24.5 lb) conventionally—a 7.3 kg (16.1 lb) difference, about 66% greater average improvement (p < .001) [13]. That is an interface comparison under AEL, not an AEL-versus-conventional-training comparison.

Mean bench-press 1RM gain

Four weeks · 12 supervised sessions

Conventional support11.1 ± 2.4 kg
Launch Pad support18.4 ± 4.3 kg
7.3 kg between-group difference · p < .001. Bars show means; SD is printed. Study [13].
What stayed matched

Same AEL program.
Different support.

42 intermediate-trained men were randomized to the same supervised eccentric-overload program. The comparison estimates the effect of the tested equipment-and-program combination; it is not AEL versus conventional training.

In a separate eight-week trial, 30 collegiate football players completed matched periodized programs for 24 supervised sessions. The Launch Pad group improved more in 1-RM, NFL-225 repetitions and seated medicine-ball throw distance; all reported between-group comparisons were p < .001 [14]. Those are performance outcomes. They do not show that the interface prevented injury, treated pain or changed any specific transition in this cycle.

Joint Ops boundaryJoint Ops is a distinct system in active prototype research with no published outcomes. A cycle study would need to compare defined configurations and measure the proposed mediator and downstream state directly; Launch Pad performance evidence cannot be reassigned to Joint Ops.

Research agenda

Test links in sequence instead of validating the picture by impression

A strong longitudinal design would standardize grip, range, support and load; repeatedly capture three-dimensional motion, vertical and lateral external forces, bar kinematics, muscle activity, symptoms, next-day function and exposure; and define in advance what counts as a meaningful state transition.

AMM Research · Visual 64 · study-design boundary

A plausible sequence is not a validated causal pathway

The illustration separates three activities that are often collapsed in prose: standardizing the task, measuring motion, and assessing a clinical outcome.

Three-panel illustration of a standardized bench-press setup, motion-capture recording during the press, and a clinician examining the athlete's shoulder.
Directly recordedTask changeload · grip · range · surface
Directly recorded or modeledMotion changebar path · joint movement
Separate clinical outcomeSymptom responsedashed link = hypothesis to test
Solid connectorMeasure the task–motion relationship within a controlled protocol.
Dashed connectorTest temporal order and symptom response separately.
Null result still mattersMechanics can change without a later tolerance difference.
A focused companion to the article’s eight-state model. The solid connector identifies a relationship to measure; it does not claim every task change produces the same mechanical response. The dashed symptom link is hypothetical. The realistic scenes are explanatory illustrations, not study participants or outcome data.
What a cycle-validation program would have to demonstrate
QuestionMinimum evidenceNull result that still matters
Does a constraint change mechanics?Randomized, familiarized condition comparison with direct motion and force data.The configuration changes perceived support but not the preregistered mechanical mediator.
Does the mediator change tolerance?Repeated exposure with temporal ordering and symptom/function measures.Mechanics change without a later tolerance difference.
Does an intervention interrupt the loop?Prospective comparison showing the targeted link changes before downstream outcomes.Symptoms improve equally while the proposed mediator remains unchanged.
Does the result generalize?Replication across sexes, body dimensions, training ages and clinical states.A response appears only in one subgroup or configuration.
Established here

Bench constraints can change acute mechanics and performance; fatigue can change bar kinematics; pain-related motor adaptation is variable; a support condition can change acute and longitudinal performance outcomes.

Unresolved here

The direction and strength of most transitions, whether the complete loop occurs in pressing athletes, and whether any equipment configuration changes pain, injury or rehabilitation outcomes.

Use the cycle to ask a better next question

Identify the observable link, choose a reversible input and measure whether the intended state actually changed.

Medical notice: This proposed framework is educational and is not a diagnostic or treatment algorithm. Persistent, traumatic, postoperative or neurologic symptoms require individualized evaluation by an appropriately qualified clinician.

References

  1. Bittencourt NFN, Meeuwisse WH, Mendonça LD, Nettel-Aguirre A, Ocarino JM, Fonseca ST. (2016). Complex systems approach for sports injuries: Moving from risk factor identification to injury pattern recognition—narrative review and new concept. British Journal of Sports Medicine, 50(21), 1309–1314. doi:10.1136/bjsports-2015-095850. ↩
  2. Burn MB, McCulloch PC, Lintner DM, Liberman SR, Harris JD. (2016). Prevalence of scapular dyskinesis in overhead and nonoverhead athletes: A systematic review. Orthopaedic Journal of Sports Medicine, 4(2), 2325967115627608. doi:10.1177/2325967115627608. ↩
  3. Hickey D, Solvig V, Cavalheri V, Harrold M, McKenna L. (2018). Scapular dyskinesis increases the risk of future shoulder pain by 43% in asymptomatic athletes: A systematic review and meta-analysis. British Journal of Sports Medicine, 52(2), 102–110. doi:10.1136/bjsports-2017-097559. ↩
  4. Kibler WB, Ludewig PM, McClure PW, Michener LA, Bak K, Sciascia AD. (2013). Clinical implications of scapular dyskinesis in shoulder injury: The 2013 consensus statement from the Scapular Summit. British Journal of Sports Medicine, 47(14), 877–885. doi:10.1136/bjsports-2013-092425. ↩
  5. Noteboom L, Belli I, Hoozemans MJM, Seth A, Veeger HEJ, van der Helm FCT. (2024). Effects of bench press technique variations on musculoskeletal shoulder loads and potential injury risk. Frontiers in Physiology, 15, 1393235. doi:10.3389/fphys.2024.1393235. ↩
  6. Mausehund L, Werkhausen A, Bartsch J, Krosshaug T. (2022). Understanding bench press biomechanics—the necessity of measuring lateral barbell forces. Journal of Strength and Conditioning Research, 36(10), 2685–2695. doi:10.1519/JSC.0000000000003948. ↩
  7. Duffey MJ, Challis JH. (2007). Fatigue effects on bar kinematics during the bench press. Journal of Strength and Conditioning Research, 21(2), 556–560. doi:10.1519/R-19885.1. ↩
  8. Motlagh JG, Lipps DB. (2024). The contribution of muscular fatigue and shoulder biomechanics to shoulder injury incidence during the bench press exercise: A narrative review. Journal of Strength and Conditioning Research, 38(12), 2147–2163. doi:10.1519/JSC.0000000000004973. ↩
  9. Wattanaprakornkul D, Halaki M, Cathers I, Ginn KA. (2011). Direction-specific recruitment of rotator cuff muscles during bench press and row. Journal of Electromyography and Kinesiology, 21(6), 1041–1049. doi:10.1016/j.jelekin.2011.09.002. ↩
  10. Hodges PW, Tucker K. (2011). Moving differently in pain: A new theory to explain the adaptation to pain. Pain, 152(3 Suppl), S90–S98. doi:10.1016/j.pain.2010.10.020. ↩
  11. Tung MJY, Lantz GA, Lopes AD, Berglund L. (2024). Injuries in weightlifting and powerlifting: An updated systematic review. BMJ Open Sport & Exercise Medicine, 10(4), e001884. doi:10.1136/bmjsem-2023-001884. ↩
  12. Kidwell JA, Yamamoto T, Hetherton KJ, Truneh N, Bright JJ, Blatney AE, et al. (2026). Acute effects of thoracic-spinal elevation via a novel bench press pad on sEMG and barbell kinetics in resistance-trained males. International Journal of Exercise Science, 19(1), 1003. doi:10.70252/IJES2026103. ↩
  13. Goldman P, Taylor J, Yamamoto T, Blatney AE, Sahni TK, Lechner RJ, et al. (2025). Eccentrically overloaded bench press training: Augmenting strength gains via a novel bench press pad. Scientific Journal of Sport and Performance, 4(4), 480–490. doi:10.55860/JCDL3612. ↩
  14. Blatney AE, Kidwell JA, Yamamoto T, Goldman P, Hetherton KJ, Dolezal BA. (2026). Effects of an eight week training regimen with a novel bench press pad compared to a traditional bench on upper body strength and performance in collegiate American football players. Scientific Journal of Sport and Performance, 5(1), 10–21. doi:10.55860/RNUB8627. ↩