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Record W2566372490 · doi:10.1097/pep.0000000000000359

Authors' Response to Commentary by Drs Sueki and Achhnani on the Article, “Does Exercise Decrease Pain via Conditioned Pain Modulation in Adolescents?”

2016· letter· en· W2566372490 on OpenAlexaboutno aff
Stacy Stolzman, Marie Hoeger Bement

Bibliographic record

VenuePediatric Physical Therapy · 2016
Typeletter
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyHypoalgesiaMcGill Pain QuestionnaireMedicineTreadmillPhysical medicine and rehabilitationPopulationPsychologyVisual analogue scaleNociceptionHyperalgesiaInternal medicine

Abstract

fetched live from OpenAlex

We thank Drs Sueki and Achhnani for their commentary on our article: Does Exercise Decrease Pain via Conditioned Pain Modulation in Adolescents?1 We appreciate the opportunity to respond to their comments regarding the application of our study. First, we agree that adolescents may have a less developed pain vernacular, which is why we selected pain assessments (pressure pain thresholds, 11-point numeric pain rating scale, and McGill Pain Questionnaire) that were age appropriate and validated for this population.2–5 As for consistent pain responses, we have previously shown that adolescents report similar pressure pain thresholds before and after 20 minutes of quiet rest.6,7 In relation to assessing pain in adolescents and whether pain may actually be a measure of exertion, we do not believe that pain reported during the treadmill (TM) activity was a measure of exertion because ratings of perceived exertion (RPE) was part of the criteria for exercise termination. Despite all the adolescents meeting the American College of Sports Medicine criteria (eg, RPE > 8),7 there was a wide range of pain responses; 9 adolescents reported no pain and 14 adolescents reported severe pain during the treadmill test. Similarly, we agree that psychological factors like “fear on treadmill” could impact the conditioned pain modulation (CPM) response; however, we do not believe that this occurred in our protocol because CPM and TM exercise were conducted during separate randomized sessions.6,7 We agree that the relationship between CPM (ie, pain inhibits pain) and exercise-induced hypoalgesia (EIH) is weak and does not provide evidence that CPM is a mechanism for pain relief following exercise. Furthermore, pain reported during exercise did not contribute to the pain relief reported following exercise. For example, adolescents were able to exercise to exhaustion and experience pain relief postexercise despite some reporting no pain whereas others reporting severe pain during the TM protocol. A recent study in people with knee osteoarthritis has shown that those participants with normal CPM reported EIH following exercise that was performed with minimal pain (<3/10), whereas those participants with abnormal CPM reported hyperalgesia (ie, decrease in pressure pain thresholds) following the exercise protocol.8 Thus, while it is not known whether CPM is a mechanism for EIH, there is evidence for the assessment of CPM in the clinic as it may help to establish a patient's response to a single exercise session.9 In their commentary, Sueki et al concluded that “in patients with persistent pain, clinicians should exercise below pain levels and avoid high-intensity exercise.”1 We are hesitant to translate our findings to chronic pain populations because the adolescents in our study did not have chronic pain. We agree that exercise dose for pain relief may be different for healthy individuals compared with individuals with chronic pain. Unfortunately, very little research is available regarding the optimal dose of exercise to relieve pain. A meta-analysis assessing pain responses following a single exercise session concluded that effects sizes were highly variable for individuals with chronic pain; although moderate/high-intensity exercise may exacerbate pain for individuals with widespread chronic pain.10 Similarly, we have shown that women with fibromyalgia experience variability in their pain response (ie, increase, decrease, and no change in pain) following isometric contractions held to exhaustion.11 In the current adolescent study, pain relief was assessed following a single exercise session only. This is an important distinction because pain that occurs with exercise initiation may not reflect pain relief that occurs with exercise training.12 When starting an exercise program for pain management or other rehabilitation exercise protocols, clients frequently report pain with exercise. Consequently, pain with exercise may not be avoided and should be addressed by physical therapists. Our expertise in nonpharmacological pain management is a vital component for overall health and wellness, in part due to the decreasing usage of opioids. For example, pain with exercise may be addressed through the incorporation of modalities (transcutaneous electrical nerve stimulation [TENS] and thermal agents), CPM (ice water bath and noxious TENS), and patient education (hurt vs harm). Finally, for individuals with a regional pain condition, exercise is an excellent option because of its systemic effects; exercising a distal muscle can produce EIH at the painful muscle.10 We look forward to continuing this discussion and exploring the best way to use exercise and CPM in pediatric physical therapy. Stacy Stolzman, PhD, PT Marie Hoeger Bement, PhD, PT Clinical & Translational Rehabilitation Health Sciences PhD Program, Department of Physical Therapy Marquette University, Milwaukee, Wisconsin

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.264
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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