The Shoulder Dysfunction & Load-Intolerance Cycle

Hypotheses & open questions

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

This proposed framework connects pressing mechanics, fatigue, movement responses, symptoms and training exposure to help identify what to adjust and monitor.

Key Takeaways

Understanding the Shoulder Dysfunction Cycle

The model organizes eight interacting states, with several possible entry and exit points.

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.

Published Launch Pad studies report changes in acute pressing mechanics and training performance under specific support conditions and programs.

How to read the framework

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

Complex-systems injury models examine how interacting constraints create patterns over time [1]. This proposed framework applies that approach to repetitive pressing by organizing relationships that can be tested separately.

Altered scapular motion is common without pain. Across 12 studies and 1,401 athletes, Burn and colleagues reported dyskinesis in 61% of overhead and 33% of nonoverhead athletes [2]. In five prospective cohorts involving 419 athletes, Hickey and colleagues found a 43% higher future shoulder-pain risk with baseline dyskinesis (RR 1.43, 95% CI 1.05–1.93) [3]. The Scapular Summit consensus recommends interpreting this movement finding within a clinical examination [4].

AMM Research · Visual 59 · prevalence and prospective association

Scapular dyskinesis: prevalence and later pain risk

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

Reported dyskinesis prevalence

Systematic review · heterogeneous athlete samples

Overhead athletes61%
Nonoverhead athletes33%
Prevalence values reported in the review’s abstract [2].

Future shoulder-pain incidence

Asymptomatic athletes followed for 9–24 months

Dyskinesis present35% 56/160
Dyskinesis absent25% 65/259
Raw shoulder-pain incidence from the pooled athlete cohorts [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)

Pooled relative risk of future shoulder pain [3].

AMM Research · Visual 58 · proposed feedback model

The Shoulder Dysfunction & Load-Intolerance Cycle

The figure places the eight-state framework in the context of pressing and shoulder mechanics.

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
Labels identify the evidence behind each proposed link; arrows show possible influence in both directions.

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 in 35 participants. Each condition used its own 6–8RM load [6].
Including lateral hand forces can improve the calculation of net joint moments.

Practical use

Addressing the Cycle and Monitoring the Response

Use the model as a measurement plan: identify an observable state, change one defensible input and track 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 show how a complete support condition can change acute repetition mechanics and training performance under specific programs. In this framework, support enters as one task constraint.

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.

Acute result

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 bar displacement. The 8.8% power difference was not significant after correction (p = .071) [12].

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 acute repetition outcomes differed statistically in the reported analysis. Concentric power did not. 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].

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.

The 42 intermediate-trained men were randomized to two support conditions within the same supervised eccentric-overload program.

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]. These findings concern strength, repetition performance and seated-throw distance under the tested training program.

Research agenda

Testing How the Cycle Develops

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 · proposed study design

Testing the Proposed Sequence

The proposed study sequence separates task standardization, motion measurement and clinical outcomes.

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.
Illustrative companion to the proposed eight-state model. The solid connector links task and motion measurements; the dashed connector marks the hypothesized symptom response.
What a cycle-validation program would have to demonstrate
Question Minimum evidence
Does a constraint change mechanics? Randomized, familiarized condition comparison with direct motion and force data.
Does the mediator change tolerance? Repeated exposure with temporal ordering and symptom/function measures.
Does an intervention interrupt the loop? Prospective comparison showing the targeted link changes before downstream outcomes.
Does the result generalize? Replication across sexes, body dimensions, training ages and clinical states.

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. ↩