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<front><journal-meta><journal-id journal-id-type="publisher-id">jsocmed</journal-id><journal-title-group><journal-title>Journal of Society Medicine</journal-title></journal-title-group><issn pub-type="epub">2964-5565</issn><publisher><publisher-name>CoinReads Media Prima</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.71197/jsocmed.v5i6.300</article-id><article-categories><subj-group subj-group-type="heading"><subject>Review Articles</subject></subj-group></article-categories><title-group><article-title>Acute Exercise-Induced Hypoalgesia and Chronic Training Adaptations in Pain Perception Among Athletes: A Systematic Review, Meta-Analysis, and Meta-Regression</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ginting</surname><given-names>Muhammad Aldi Rivai</given-names></name><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name><surname>Harahap </surname><given-names>Armansyah Maulana</given-names></name><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name><surname>Putri </surname><given-names>Yulia</given-names></name><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><name><surname> Sari </surname><given-names>Herviani</given-names></name><xref ref-type="aff" rid="aff4"/></contrib></contrib-group><aff id="aff1"><institution>Medical Education Program, Faculty of Medicine, Universitas Negeri Medan</institution>, <country>Indonesia</country></aff><aff id="aff2"><institution>Department of Physical Education, Health and Recreation, Faculty of Sports Science, Universitas Negeri Medan</institution>, <country>Indonesia</country></aff><aff id="aff3"><institution>Department of Physical Education, Health and Recreation, Faculty of Sports Science, Universitas Negeri Medan</institution>, <country>Indonesia</country></aff><aff id="aff4"><institution>Department of Physical Education, Health and Recreation, Faculty of Sports Science, Universitas Negeri Medan</institution>, <country>Indonesia</country></aff><pub-date pub-type="epub"><year>2026</year><month>6</month><day>12</day></pub-date><volume>5</volume><issue>6</issue><fpage>200</fpage><lpage>210</lpage><history><date date-type="received"><day>4</day><month>5</month><year>2026</year></date><date date-type="accepted"><day>3</day><month>6</month><year>2026</year></date></history><permissions><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0"><license-p>This is an open access article distributed under the Creative Commons Attribution 4.0 International License.</license-p></license></permissions><abstract><p><bold>Introduction</bold>: Pain perception is a key determinant of athletic performance and injury rehabilitation. Acute exercise attenuates nociception via exercise-induced hypoalgesia (EIH), whereas sustained training elicits neuroplastic adaptations in pain modulation. Objective: To quantitatively appraise effects of acute and chronic exercise on experimentally evoked pain in athletes versus non-athlete controls and elucidate effect moderators.</p><p><bold>Methods</bold>: We systematically searched PubMed/MEDLINE, Scopus, Web of Science, SPORTDiscus, Cochrane, PsycINFO, and CINAHL from the publication dates to January 31, 2026, following the PROSPERO  CRD42025XXX) guidelines. We included studies that appraised pressure pain threshold (PPT), tolerance, intensity, or unpleasantness between athletes and controls, or within athletes, pre- and post-exercise. We conducted random-effects meta-analyses and yielded Hedges' g with 95% CIs; heterogeneity was indexed using I². We assessed the risk of bias using RoB 2 and ROBINS-I, and rated certainty using GRADE.</p><p><bold>Results</bold>: Forty-six studies (n = 2,418; 1,289 athletes and 1,129 controls) were included. Compared to controls, athletes showed elevated tolerance (g = 0.86, 95% CI: 0.62–1.10), heightened threshold (g = 0.42, 95% CI: 0.21–0.63), and attenuated intensity ratings (g = −0.72, 95% CI: −0.98 to −0.46). Acute exercise elicited moderate hypoalgesia in PPT (g = 0.52; 95% CI: 0.36–0.68). Endurance athletes showed superior tolerance gains over team-sport athletes (g = 1.04 vs. 0.71), and moderate-to-vigorous intensity protocols surpassed low-intensity protocols (g = 0.71 vs. 0.18). Training volume and competitive calibre were robust moderators.</p><p><bold>Conclusion</bold>: Athletes exhibit recalibrated pain perception, substantiating exercise as a non-pharmacological pain-modulatory strategy that warrants longitudinal investigation.</p></abstract></article-meta></front><body>
<sec id="introduction">
  <title>INTRODUCTION</title>
  <p>Pain is a multidimensional sensory and emotional experience that
  pervades virtually every facet of athletic life, encompassing training
  tolerance, competitive performance, injury recognition, and
  return-to-play decision-making [1,2]. In contemporary sports science,
  pain is no longer conceptualised as a static nociceptive signal but as
  a dynamic perceptual output continuously shaped by both transient and
  cumulative exposures to physical exertion [3,4]. This
  reconceptualisation is corroborated by an expanding body of
  psychophysical and neurophysiological evidence demonstrating that
  exercise reliably modulates nociceptive processing in healthy
  individuals, a phenomenon collectively designated exercise-induced
  hypoalgesia (EIH) [5,6].</p>
  <p>EIH denotes acute, time-limited attenuation of pain sensitivity
  that ensues following a single bout of exercise. It is conventionally
  operationalised through quantitative sensory testing (QST), with the
  pressure pain threshold (PPT) serving as the most widely employed
  metric owing to its psychometric reliability and ecological relevance
  to musculoskeletal pain [7,8]. Aerobic, isometric, and dynamic
  resistance modalities each elicit EIH, with effect magnitudes ranging
  from small to large, contingent upon intensity, duration, and the
  anatomical region assessed [9,10]. Recent meta-analytic evidence
  indicates that exercise performed at a moderate-to-high intensity,
  particularly when localised to the working musculature, produces the
  most robust hypoalgesic responses [11]. Beyond these acute effects,
  chronic athletic training appears to confer durable adaptations in
  central pain processing. The seminal quantitative synthesis [12]. A
  seminal quantitative synthesis pooled 15 studies (n = 899) and
  demonstrated that athletes exhibit substantially greater pain
  tolerance than normally active controls (Hedges' g = 0.87 [95% CI:
  0.53–1.21] ). A more recent and methodologically rigorous synthesis
  was provided by Thornton, Baird, and Sheffield [13]. extended these
  findings by documenting large effects for tolerance and intensity
  outcomes, alongside smaller yet consistent effects for pain threshold.
  These observations have been corroborated across endurance, strength,
  and contact sports disciplines, although the effect magnitudes vary
  appreciably by sport typology, sex, and assessment modality [14,15].
  Several physiological and psychological mechanisms have been proposed
  to explain these adaptations. Endogenous opioid release, particularly
  of β-endorphin, has long been implicated, with evidence that
  naltrexone partially attenuates EIH following resistance exercise with
  blood flow restriction [16]. More recent investigations have focused
  on the endocannabinoid system, wherein post-exercise elevations in
  N-arachidonoylethanolamine (AEA) and 2-arachidonoylglycerol (2-AG)
  correlate with reductions in pain sensitivity [17]. Central mechanisms
  encompass enhanced descending pain inhibition, indexed via conditioned
  pain modulation, and altered cortical processing of noxious stimuli,
  as evidenced by functional connectivity and electroencephalographic
  investigations in elite endurance athletes [18,19]. Concurrently,
  psychological constructs, including pain catastrophising,
  self-efficacy, attentional focus, and motivational orientation,
  further moderate the perception of noxious input during and following
  exercise [20,21].</p>
  <p>Despite this burgeoning evidence, several critical gaps persist.
  First, prior syntheses have tended to address either acute
  exercise-induced hypothermia (EIH) in mixed populations or chronic
  athlete–control comparisons in isolation, without integrating the two
  temporal scales within a unified analytical framework. Second, the
  relative contributions of training modality (endurance vs. strength
  vs. mixed), competitive calibre (elite vs. sub-elite vs.
  recreational), and biological sex remain inadequately characterised in
  the literature. Third, methodological heterogeneity in QST protocols,
  stimulus modalities (pressure, thermal, electrical, and ischaemic),
  and reporting standards have constrained the precision of the pooled
  estimates [22]. Finally, the most recent meta-analysis addressed the
  EIH in healthy adults [11]. and pain perception in athletes [13].
  However, these have not been integrated within a contemporary,
  dose–response-oriented framework that explicitly interrogates
  moderators of applied relevance to sports. Therefore, this systematic
  review and meta-analysis sought to quantify the magnitude of
  differences in experimentally evoked pain perception between athletes
  and non-athletes (chronic exposure), estimate the acute hypoalgesic
  effect of a single bout of exercise in athletic populations (acute
  exposure), identify methodological and biological moderators of these
  effects via subgroup analyses and meta-regression, and appraise the
  overall certainty of evidence through a transparent, pre-registered
  analytical protocol. By synthesising data from studies published
  through January 2026, this work delivers an updated, clinically
  actionable evidence base for exercise as a non-pharmacological
  pain-modulatory strategy and substrate for athletic performance under
  conditions of pain.</p>
</sec>
<sec id="method">
  <title>METHOD</title>
  <p>This systematic review and meta-analysis were designed, conducted,
  and reported in strict accordance with the PRISMA 2020 statement,
  complemented by the MOOSE guidelines. The protocol was prospectively
  registered with the International Prospective Register of Systematic
  Reviews prior to data extraction. No substantive deviations from the
  registered protocol occurred during the review.</p>
  <p>Records retrieved from all databases were imported into Rayyan
  (Rayyan Systems Inc., Cambridge, MA, USA), where duplicates were
  eliminated through automated deduplication and manual verification.
  Two independent reviewers screened the titles and abstracts against
  the predefined eligibility criteria, with subsequent full-text
  appraisal of all potentially eligible records. Discrepancies were
  resolved through a structured discussion, and where consensus could
  not be reached, a third reviewer adjudicated. The inter-rater
  agreement at the full-text stage was substantial (Cohen's κ = 0.84).
  The complete selection process is depicted in the PRISMA 2020
  flowchart (Figure 1).</p>
  <fig id="F1"><label>Figure 1</label><caption><p>PRISMA 2020 flow diagram of study identification,
  screening, and inclusion.</p></caption><graphic mimetype="image" mime-subtype="png" xlink:href="https://jsocmed.org/go/article/download/300/645/2781" /></fig>
  <p>Eligibility was operationalised using the PICOS framework. Studies
  were considered eligible if they recruited adult athletes aged ≥ 18
  years who actively competed or trained at recreational, sub-elite, or
  elite levels across any sporting discipline; assessed experimentally
  evoked pain through quantitative sensory testing (QST) employing
  pressure, thermal, electrical, or ischaemic stimuli; reported at least
  one validated pain outcome, including threshold, tolerance, intensity
  via visual analogue scale (VAS) or numerical rating scale (NRS), or
  unpleasantness; employed either a cross-sectional design contrasting
  athletes with non-athlete controls (chronic exposure stream) or an
  interventional design comparing pre- and post-exercise outcomes within
  athletes (acute exposure stream); and appeared as peer-reviewed
  full-text articles in English. Studies were excluded if they enrolled
  participants with clinical pain syndromes or acute musculoskeletal
  injuries during testing, incorporated pharmacological co-interventions
  that could not be analytically partitioned, lacked quantitative data
  sufficient for effect size computation after authorial contact, or
  constituted conference abstracts, dissertations, editorials, or
  non-peer-reviewed preprints. Seven electronic databases were
  systematically interrogated from inception to January 31, 2026:
  PubMed/MEDLINE, Scopus, Web of Science Core Collection, SPORTDiscus
  (EBSCOhost), Cochrane Central Register of Controlled Trials (CENTRAL),
  PsycINFO, and CINAHL. The search architecture integrated three
  conceptual domains combined via Boolean operators: athlete and sport
  (athlete, sportsperson, endurance athlete, contact sport, team sport),
  pain perception (pain perception, pain threshold, pain tolerance,
  hypoalgesia, quantitative sensory testing, nociception, algometry),
  and exercise and training (exercise, training, physical activity,
  aerobic exercise, resistance exercise, isometric contraction). Medical
  Subject Headings (MeSH) and database-specific controlled vocabularies
  were applied where available, with free-text terms searched across the
  title, abstract, and keyword fields. The reference lists of the
  included studies and relevant prior reviews were hand-searched, and
  forward citation tracking was performed using the Web of Science and
  Google Scholar. The complete search syntax is presented in
  Supplementary File S1,</p>
  <p>A standardised data extraction form was developed a priori, piloted
  on ten randomly selected studies, and iteratively refined to optimise
  consistency. Two reviewers independently extracted bibliographic
  details, study design, sample size, participant characteristics,
  exercise protocol parameters, pain assessment specifications, and
  outcome metrics. When data were reported exclusively in a graphical
  form, WebPlotDigitizer v4.7 (Ankit Rohatgi, Pacifica, CA, USA) was
  employed for numerical extraction, with a second reviewer
  independently verifying the accuracy. The corresponding authors of 14
  studies were contacted to obtain missing or clarifying data; of whom,
  nine (64%) responded with usable information. Methodological quality
  was appraised within a dual-tool framework congruent with the study
  design. Randomised controlled trials within the acute exposure stream
  were evaluated using the Cochrane Risk of Bias 2 (RoB 2) tool across
  five domains: randomisation process, deviations from intended
  interventions, missing outcome data, measurement of the outcome, and
  selection of reported results. Non-randomised studies, including all
  cross-sectional chronic exposure comparisons, were appraised using the
  Risk of Bias in Non-randomised Studies of Interventions tool. Two
  reviewers independently assessed the studies, and any discrepancies
  were resolved through consensus. The overall certainty of the evidence
  for each outcome was rated using the GRADE framework, considering risk
  of bias, inconsistency, indirectness, imprecision, and publication
  bias.</p>
  <p>Effect sizes for between-group and within-group comparisons were
  computed as standardized mean differences using Hedges' g. Effect
  magnitudes were interpreted following Cohen’s thresholds: trivial
  (&lt; 0.20), small (0.20–0.49), moderate (0.50)–, 0.79and large (≥
  0.80). Effect magnitudes were interpreted following Cohen's
  thresholds: trivial (&lt;0.20), small (0.20–0.49), moderate
  (0.50–0.79), and large (≥0.80). Random-effects meta-analyses employing
  the DerSimonian–Laird estimator were performed in R version 4.4.2 (R
  Foundation for Statistical Computing, Vienna, Austria) via the metafor
  package (v4.6-0). Pooled estimates were reported alongside 95%
  confidence intervals and 95% prediction intervals. Statistical
  heterogeneity was quantified using Cochran's Q statistic, I², and τ²,
  with thresholds of 25%, 50%, and 75% denoting low, moderate, and high
  heterogeneity, respectively. A priori subgroup analyses were conducted
  across sport typology, competitive caliber, sex distribution, stimulus
  modality, and exercise intensity for the acute stream (low: &lt;50%
  V̇O₂max or &lt;30% MVC; moderate: 50–69% V̇O₂max or 30–49% MVC; high:
  ≥70% V̇O₂max or ≥50% MVC). Meta-regression was employed to interrogate
  continuous moderators, including mean age, weekly training volume, and
  years of competitive experience. Small-study effects and potential
  publication bias were appraised through visual inspection of
  contour-enhanced funnel plots, Egger's regression test, and the
  trim-and-fill procedure. All tests were two-tailed, with statistical
  significance set at p &lt; 0.05.</p>
</sec>
<sec id="results">
  <title>RESULTS</title>
  <p>Database searches yielded 6,742 records, which were supplemented by
  38 additional records retrieved through hand searching and forward
  citation tracking. Following the automated and manual removal of 2,153
  duplicates, 4,627 records underwent title and abstract screening, of
  which 197 progressed to full-text appraisal. A total of 151 reports
  were excluded for documented reasons, most frequently insufficient
  data for effect size computation (n = 48), clinical pain populations
  (n = 31), absence of an eligible comparator (n = 27), conference
  abstract only (n = 23), and non-peer-reviewed format (n = 22).
  Ultimately, 46 studies satisfied all eligibility criteria and were
  retained for qualitative and quantitative syntheses. The complete
  selection workflow is depicted in the PRISMA 2020 flowchart (Figure
  2).</p>
  <fig id="F2"><label>Figure 2</label><caption><p>PRISMA 2020 flow diagram of study identification,
  screening, and inclusion.</p></caption><graphic mimetype="image" mime-subtype="png" xlink:href="https://jsocmed.org/go/article/download/300/645/2782" /></fig>
  <sec id="table-1.-summary-characteristics-of-the-46-included-studies-n-2418-participants">
    <title>Table 1. Summary Characteristics of the 46 Included Studies
    (n = 2,418 Participants)</title>
    <table-wrap>
      <table>
        <colgroup>
          <col width="24%" />
          <col width="39%" />
          <col width="14%" />
          <col width="20%" />
        </colgroup>
        <thead>
          <tr>
            <th align="center">Characteristic</th>
            <th align="center">Category</th>
            <th align="center">Studies (k)</th>
            <th align="center">Participants (n)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td>Exposure stream</td>
            <td>Chronic (athlete vs. control)</td>
            <td align="center">31</td>
            <td align="center">1,712</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Acute (pre- vs. post-exercise)</td>
            <td align="center">15</td>
            <td align="center">706</td>
          </tr>
          <tr>
            <td>Sport type</td>
            <td>Endurance</td>
            <td align="center">17</td>
            <td align="center">821</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Strength/power</td>
            <td align="center">9</td>
            <td align="center">412</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Contact</td>
            <td align="center">8</td>
            <td align="center">389</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Team ball sports</td>
            <td align="center">7</td>
            <td align="center">493</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Mixed</td>
            <td align="center">5</td>
            <td align="center">303</td>
          </tr>
          <tr>
            <td>Competitive level</td>
            <td>Elite/professional</td>
            <td align="center">14</td>
            <td align="center">612</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Sub-elite/collegiate</td>
            <td align="center">19</td>
            <td align="center">1,047</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Recreational</td>
            <td align="center">13</td>
            <td align="center">759</td>
          </tr>
          <tr>
            <td>Stimulus modality</td>
            <td>Pressure (PPT)</td>
            <td align="center">27</td>
            <td align="center">1,381</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Thermal (heat/cold)</td>
            <td align="center">14</td>
            <td align="center">742</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Ischemic/cold pressor</td>
            <td align="center">11</td>
            <td align="center">587</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Electrical</td>
            <td align="center">6</td>
            <td align="center">298</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Note: Some studies are represented in more than one category
    (e.g., multimodality studies). k = number of studies; n = number of
    participants; PPT = pressure pain threshold.</p>
    <p>The 46 included studies were published between 1981 and 2025 and
    originated from 19 countries, with the most substantial
    contributions from the United States (n = 12), Germany (n = 7), the
    United Kingdom (n = 5), Australia (n = 4), and Israel (n = 3).
    Collectively, the studies enrolled 2,418 participants (1, 289
    athletes and 1, 129 non-athlete controls). The pooled mean age was
    24.7 ± 5.2 years, with males comprising 67% of the sample. The
    sporting disciplines included endurance running and cycling (k =
    17), strength and power sports (k = 9), contact disciplines,
    including rugby, mixed martial arts, and boxing (k = 8), team ball
    sports (k = 7), and mixed-gender cohorts (k = 5). The stimulus
    modalities encompassed pressure (k = 27), thermal (k = 14),
    ischaemic or cold pressor (k = 11), and electrical (k = 6), with
    several studies employing multiple modalities for each stimulus
    modality. A condensed summary is presented in Table 1, and
    study-level details are reported in the Supplementary Materials.
    Among the 15 randomised controlled trials (RCTs) on acute exposure,
    six (40%) were rated to have a low overall risk of bias, eight (53%)
    raised some concerns, predominantly related to the non-blinding of
    outcome assessors and selective reporting, and one was rated to have
    a high risk of bias. Of the 31 non-randomised chronic exposure
    studies, four (13%) were rated as low risk, 21 (68%) as moderate
    risk (largely attributable to residual confounding and selection
    bias), and six (19%) as serious risk. The overall certainty of
    evidence, appraised via the GRADE framework, was moderate for pain
    tolerance in athletes versus controls, moderate for acute EIH on
    PPT, low-to-moderate for pain threshold, and low for pain intensity
    outcomes (downgraded for inconsistency and risk of bias). Detailed
    domain-level risk-of-bias summaries are provided in Supplementary
    Figures S1 and S2. Twenty-two studies (n = 1,287) compared pain
    tolerance between athletes and non-athlete controls. The pooled
    random-effects estimate yielded a large effect favouring athletes
    (Hedges' g = 0.86; 95% CI: 0.62–1.10; p &lt; 0.001; 95% prediction
    interval: −0.09 to 1.81; I² = 67%; τ² = 0.18; Q = 63.6, p &lt;
    0.001). This pooled estimate aligns closely in both direction and
    magnitude with the seminal synthesis (g = 0.87; 95% CI: 0.53–1.21)
    and corroborates the large tolerance effect reported. The
    corresponding forest plot is shown in Figure 3.</p>
    <fig id="F3"><label>Figure 3</label><caption><p>Forest plot of pain tolerance in athletes versus
    non-athlete controls</p></caption><graphic mimetype="image" mime-subtype="png" xlink:href="https://jsocmed.org/go/article/download/300/645/2783" /></fig>
    <p>Twenty-four studies (n = 1,341) provided pain threshold
    information. The pooled effect indicated moderately elevated
    thresholds in athletes relative to controls (Hedges' g = 0.42; 95%
    CI: 0.21–0.63; p &lt; 0.001; I² = 58%; τ² = 0.12). The attenuated
    magnitude of the threshold effect relative to tolerance is congruent
    with the conceptualisation that threshold and tolerance are distinct
    dimensions of pain processing — threshold reflecting peripheral
    nociceptive sensitivity, and tolerance more strongly reflecting
    central, cognitive-evaluative, and motivational components. Sixteen
    studies (n = 958) reported pain intensity ratings in response to
    standardised noxious stimuli. Athletes rated identical stimuli as
    significantly less intense than controls (Hedges' g = −0.72; 95% CI:
    −0.98 to −0.46; p &lt; 0.001; I² = 61%; τ² = 0.14). A smaller subset
    of eight studies (n = 462) examined pain unpleasantness,
    demonstrating a moderate effect favouring athletes (g = −0.54; 95%
    CI: −0.82 to −0.26; p &lt; 0.001; I² = 52%). Pooled estimates for
    all chronic and acute outcomes, together with GRADE certainty
    ratings, are summarised in Table 2.</p>
  </sec>
  <sec id="table-2.-pooled-effect-sizes-for-chronic-exposure-athletes-vs.-non-athlete-controls-and-acute-exposure-pre--vs.-post-exercise-outcomes">
    <title>Table 2. Pooled Effect Sizes for Chronic Exposure (Athletes
    vs. Non-athlete Controls) and Acute Exposure (Pre- vs.
    Post-exercise) Outcomes</title>
    <table-wrap>
      <table>
        <colgroup>
          <col width="41%" />
          <col width="4%" />
          <col width="6%" />
          <col width="25%" />
          <col width="7%" />
          <col width="14%" />
        </colgroup>
        <thead>
          <tr>
            <th>Outcome</th>
            <th align="center">k</th>
            <th align="center">n</th>
            <th align="center">Hedges' g (95% CI)</th>
            <th align="center">I² (%)</th>
            <th align="center">GRADE</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td>Chronic exposure (athletes vs. controls)</td>
            <td></td>
            <td align="center"></td>
            <td align="center"></td>
            <td align="center"></td>
            <td align="center"></td>
          </tr>
          <tr>
            <td>Pain tolerance</td>
            <td align="center">22</td>
            <td align="center">1,287</td>
            <td align="center">0.86 (0.62, 1.10)***</td>
            <td align="center">67</td>
            <td align="center">Moderate</td>
          </tr>
          <tr>
            <td>Pain threshold</td>
            <td align="center">24</td>
            <td align="center">1,341</td>
            <td align="center">0.42 (0.21, 0.63)***</td>
            <td align="center">58</td>
            <td align="center">Low–Moderate</td>
          </tr>
          <tr>
            <td>Pain intensity</td>
            <td align="center">16</td>
            <td align="center">958</td>
            <td align="center">−0.72 (−0.98, −0.46)***</td>
            <td align="center">61</td>
            <td align="center">Low</td>
          </tr>
          <tr>
            <td>Pain unpleasantness</td>
            <td align="center">8</td>
            <td align="center">462</td>
            <td align="center">−0.54 (−0.82, −0.26)***</td>
            <td align="center">52</td>
            <td align="center">Low</td>
          </tr>
          <tr>
            <td>Acute exposure (pre- vs. post-exercise)</td>
            <td></td>
            <td align="center"></td>
            <td align="center"></td>
            <td align="center"></td>
            <td align="center"></td>
          </tr>
          <tr>
            <td>Pressure pain threshold</td>
            <td align="center">15</td>
            <td align="center">706</td>
            <td align="center">0.52 (0.36, 0.68)***</td>
            <td align="center">54</td>
            <td align="center">Moderate</td>
          </tr>
          <tr>
            <td>Pain intensity</td>
            <td align="center">9</td>
            <td align="center">418</td>
            <td align="center">−0.48 (−0.69, −0.27)***</td>
            <td align="center">47</td>
            <td align="center">Moderate</td>
          </tr>
          <tr>
            <td>Pain tolerance</td>
            <td align="center">6</td>
            <td align="center">271</td>
            <td align="center">0.41 (0.18, 0.64)**</td>
            <td align="center">39</td>
            <td align="center">Low–Moderate</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Note: k = number of studies; n = total number of participants; CI
    = confidence interval; I² = inconsistency statistic. ** p &lt; 0.01,
    *** p &lt; 0.001. GRADE = certainty of evidence using the GRADE
    framework.</p>
    <p>Fifteen studies (n = 706) examined PPT before and after a single
    exercise bout in athletic population. A single exercise bout
    produced a moderate hypoalgesic effect on PPT (Hedges' g = 0.52 [95%
    CI: 0.36–0.68]; p &lt; 0.001; I² = 54%; τ² = 0.07). The effects on
    subjective pain intensity following standardised noxious stimulation
    were comparable (k = 9; g = −0.48; 95% CI: −0.69 to −0.27; p &lt;
    0.001; I² = 47%). The direction and magnitude of these acute
    estimates align with the recent meta-analytic synthesis by Tomschi
    et al. [9], who reported the most pronounced local hypoalgesic
    effects following higher-intensity protocols, as well as with the
    broader EIH meta-analysis of Wewege and Jones, who documented a
    large effect for aerobic exercise (g = −0.85) and a small effect for
    dynamic resistance exercise (g = −0.45) in healthy individuals in
    Table 3</p>
  </sec>
  <sec id="table-3.-subgroup-analyses-for-selected-pooled-outcomes">
    <title>Table 3. Subgroup Analyses for Selected Pooled
    Outcomes</title>
    <table-wrap>
      <table>
        <colgroup>
          <col width="37%" />
          <col width="27%" />
          <col width="6%" />
          <col width="16%" />
          <col width="12%" />
        </colgroup>
        <thead>
          <tr>
            <th>Moderator</th>
            <th>Subgroup</th>
            <th align="center">k</th>
            <th align="center">Hedges' g (95% CI)</th>
            <th align="center">Q-between (p)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td>Chronic pain tolerance — Sport type</td>
            <td></td>
            <td></td>
            <td align="center"></td>
            <td align="center"></td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Endurance</td>
            <td align="center">9</td>
            <td align="center">1.04 (0.72, 1.36)</td>
            <td align="center">7.92 (0.019)</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Strength/power</td>
            <td align="center">4</td>
            <td align="center">0.79 (0.42, 1.16)</td>
            <td align="center"></td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Contact/team</td>
            <td align="center">9</td>
            <td align="center">0.71 (0.45, 0.97)</td>
            <td align="center"></td>
          </tr>
          <tr>
            <td>Chronic pain tolerance — Competitive level</td>
            <td></td>
            <td></td>
            <td align="center"></td>
            <td align="center"></td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Elite/professional</td>
            <td align="center">8</td>
            <td align="center">1.02 (0.71, 1.33)</td>
            <td align="center">5.41 (0.020)</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Sub-elite/collegiate</td>
            <td align="center">9</td>
            <td align="center">0.84 (0.58, 1.10)</td>
            <td align="center"></td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Recreational</td>
            <td align="center">5</td>
            <td align="center">0.62 (0.34, 0.90)</td>
            <td align="center"></td>
          </tr>
          <tr>
            <td>Acute EIH (PPT) — Exercise intensity</td>
            <td></td>
            <td></td>
            <td align="center"></td>
            <td align="center"></td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>High (≥70% V̇O₂max / ≥50% MVC)</td>
            <td align="center">7</td>
            <td align="center">0.71 (0.51, 0.91)</td>
            <td align="center">11.37 (0.003)</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Moderate (50–69% / 30–49%)</td>
            <td align="center">5</td>
            <td align="center">0.46 (0.27, 0.65)</td>
            <td align="center"></td>
          </tr>
          <tr>
            <td align="center"></td>
            <td>Low (&lt;50% / &lt;30%)</td>
            <td align="center">3</td>
            <td align="center">0.18 (−0.04, 0.40)</td>
            <td align="center"></td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Note: EIH, exercise-induced hypoalgesia; PPT, pressure pain
    threshold; V̇O₂max, maximal oxygen uptake; MVC, maximal voluntary
    contraction.</p>
    <p>Subgroup analyses of chronic exposure to pain tolerance revealed
    significantly larger effects in endurance athletes (k = 9; g = 1.04;
    95% CI: 0.72–1.36) than in strength (k = 4; g = 0.79; 95% CI:
    0.42–1.16) or contact/team-sport athletes (k = 9; g = 0.71; 95% CI:
    0.45–0.97), with the between-subgroup contrast reaching statistical
    significance (Q-between = 7.92, df = 2, p = 0.019). Effect
    magnitudes were further amplified in elite/professional cohorts (g =
    1.02; 95% CI: 0.71–1.33) compared with recreational athletes (g =
    0.62; 95% CI: 0.34–0.90; Q-between = 5.41, p = 0.020), whereas
    estimates were comparable across predominantly male and mixed-sex
    samples (Q-between = 1.08, p = 0.30). For acute EIH on PPT, exercise
    intensity emerged as a robust moderator: high-intensity protocols
    (≥70% V̇O₂max or ≥50% MVC) elicited a larger effect (g = 0.71; 95%
    CI: 0.51–0.91) than moderate-intensity (g = 0.46; 95% CI: 0.27–0.65)
    or low-intensity protocols (g = 0.18; 95% CI: −0.04–0.40; Q-between
    = 11.37, df = 2, p = 0.003). The random-effects meta-regression for
    chronic pain tolerance identified weekly training volume as a
    significant positive moderator of effect magnitude (β = 0.018 per
    additional hour·week⁻¹; 95% CI: 0.006 to 0.030; p = 0.004; R² =
    19.4%). Years of athletic engagement also exhibited a positive and
    statistically significant association (β = 0.046; 95% CI: 0.012 to
    0.080; p = 0.008), whereas the mean participant age was not a
    significant moderator (β = −0.007; p = 0.71). Competitive level,
    modelled ordinally (recreational = 1, sub-elite = 2, elite = 3), was
    independently associated with effect size (β = 0.31 per category;
    95% CI: 0.07 to 0.55; p = 0.012). For acute EIH on PPT, exercise
    duration showed a non-significant trend (β = 0.011 per minute; p =
    0.087), whereas exercise intensity (modelled continuously as %
    V̇O₂max) emerged as a significant moderator (β = 0.012 per percentage
    point; p = 0.002).</p>
    <p>For pain tolerance in athletes versus controls (k = 22), visual
    inspection of the contour-enhanced funnel plot suggested mild
    asymmetry, and Egger's regression test indicated potential small
    study effects (intercept = 1.42; p = 0.041). Trim-and-fill
    adjustment imputed four hypothetical missing studies, yielding an
    adjusted pooled effect of g = 0.74 (95% CI: 0.49 to 0.99), thereby
    preserving the qualitative conclusion of a large effect. For pain
    threshold (k = 24), neither funnel plot inspection nor Egger's test
    (p = 0.19) suggested meaningful asymmetry. For acute EIH on PPT,
    funnel plot symmetry was acceptable (Egger's p = 0.27). Sensitivity
    analyses excluding studies at high risk of bias (k = 6 chronic; k =
    1 acute), as well as leave-one-out procedures, did not materially
    alter the pooled estimates (largest deviation: Δg = 0.07).
    Furthermore, sensitivity analyses varying the assumed pre–post
    correlation in within-subject studies (r = 0.30, 0.50, 0.70) yielded
    pooled acute EIH estimates of g = 0.48, 0.52, and 0.57,
    respectively, confirming the robustness of the primary findings to
    this methodological assumption.</p>
  </sec>
</sec>
<sec id="discussion">
  <title>DISCUSSION</title>
  <p>This systematic review and meta-analysis of 46 studies (n = 2,418)
  provides an updated and quantitatively integrated synthesis of the
  effects of acute and chronic exercise on experimentally induced pain
  perception in athletic populations. Three principal findings have
  emerged. Three principal findings emerged: First, athletes displayed
  substantially altered pain perception relative to non-athlete
  controls, characterised by large effects on pain tolerance (g = 0.86)
  and pain intensity ratings (g = −0.72), and a moderate effect on pain
  threshold (g = 0.42). Second, a single bout of exercise produced
  consistent acute hypoalgesia on PPT (g = 0.52), with the magnitude of
  this effect modulated principally by exercise intensity. Third,
  training volume, years of training, competitive level, and sport type
  were meaningful moderators of pain adaptation. Collectively, these
  findings reinforce the proposition that exercise, both acute and
  chronic, operates as a powerful endogenous modulator of pain
  perception in athletic populations [23-25]. The magnitude of the
  chronic effect on pain tolerance observed here (g = 0.86) is
  remarkably consistent with the seminal meta-analytic estimate of
  Tesarz et al. [24] (g = 0.87) and aligns closely with the large-effect
  interpretation reported by Thornton et al. This convergence is
  noteworthy given that the present synthesis includes 31 additional
  studies published since 2012, expands the participant pool by nearly
  threefold, and applies more contemporary risk-of-bias frameworks.</p>
  <p>The smaller effect observed for pain threshold (g = 0.42) versus
  pain tolerance (g = 0.86) recapitulates a recurrent finding in the
  literature [26]. The threshold reflects the minimum stimulus intensity
  perceived as painful and is presumed to index peripheral nociceptor
  sensitivity and early afferent transmission, whereas tolerance
  reflects the maximum stimulus a participant is willing to endure and
  is more heavily influenced by central, motivational, and
  cognitive-evaluative processes [27]. The greater plasticity of
  tolerance relative to the threshold is therefore consistent with a
  model in which athletic adaptation operates predominantly via
  supraspinal mechanisms, including descending pain inhibition,
  attentional disengagement from nociceptive input, and motivational
  override [28,29]. For acute EIH, the present pooled estimate (g = 0.52
  for PPT) is somewhat smaller than the large pooled aerobic effect
  reported by Wewege and Jones [30]. but aligns with the moderate
  effects identified in the more recent dose-response meta-analysis of
  aerobic EIH by Tomschi et al. [31]. The observed pattern of effects
  can be interpreted within an integrative framework that recognises
  peripheral, spinal, supraspinal, and psychological contributions to
  pain relief. At the humoral level, acute exercise reliably increases
  circulating β-endorphin levels, particularly when performed at higher
  intensities or with augmented metabolic stress, such as blood flow
  restriction. Endocannabinoid mediators also increase following
  exercise and appear to contribute to hypoalgesia, even when opioid
  pathways are pharmacologically blocked, suggesting a parallel
  non-opioid analgesic mechanism [32]. Long-term adaptations involving
  inflammatory and neurotrophic pathways have also been proposed
  [33].</p>
  <p>At the central level, conditioned pain modulation is enhanced in
  trained endurance athletes compared to less active controls [29].
  Functional connectivity and electroencephalographic evidence further
  indicate altered processing of noxious stimuli in elite endurance
  athletes [28]. Psychological factors compound these neurophysiological
  effects, as athletes consistently report lower pain catastrophising
  and greater pain self-efficacy, both of which independently predict
  elevated pain tolerance [25,27]. The clinical and applied implications
  of these findings extend across multiple domains of sports and
  rehabilitation practices. The demonstration that
  moderate-to-high-intensity exercise reliably produces acute
  hypoalgesia supports the use of structured exercise as a
  non-pharmacological adjunct in musculoskeletal pain management [30].
  Furthermore, the elevated tolerance and reduced subjective intensity
  reporting characteristics of athletes underscore the importance of
  supplementing self-reports with objective markers when evaluating
  injury risk and return-to-play readiness [25]. Several methodological
  strengths enhance the reliability of this synthesis, including
  adherence to the PRISMA 2020 recommendations, prospective protocol
  registration, extensive multi-database searching, dual independent
  screening and extraction, sensitivity analyses, and GRADE appraisal of
  certainty. However, this study has several limitations. Residual
  heterogeneity remained substantial across the analyses, likely
  reflecting the variability in pain induction modalities, athlete
  classification criteria, and outcome timing. Female athletes are also
  underrepresented, highlighting a persistent gap in sports and pain
  research [34]. Future investigations should prioritise longitudinal
  and cluster-randomized designs, greater standardisation of
  quantitative sensory testing protocols, systematic inclusion of female
  athletes, and mechanistic studies integrating biomarkers,
  neuroimaging, and conditioned pain modulation paradigms.</p>
</sec>
<sec id="conclusion">
  <title>CONCLUSION</title>
  <p>Athletic training is associated with profound alterations in pain
  perception, characterised by elevated pain tolerance, reduced pain
  intensity, and increased pain thresholds, compared to non-athletes.
  Acute exercise consistently induces exercise-induced hypoalgesia,
  particularly at higher intensities, supporting exercise as a potent
  endogenous pain-modulatory mechanism. The type of sport, competitive
  level, and training volume significantly influence these adaptations,
  underscoring pain regulation as a trainable physiological attribute
  with important implications for athletic performance, injury
  management, and rehabilitation. Future research should prioritise
  longitudinal designs, standardised pain assessment protocols, and
  greater female athlete representation to improve the mechanistic
  understanding and translational applicability of the findings.</p>
  <p><bold>DECLARATIONS</bold></p>
  <p>None</p>
  <p><bold>CONSENT FOR PUBLICATION</bold></p>
  <p>The authors agree to the publication of this article in the Journal
  of Society Medicine.</p>
</sec>
<sec id="funding">
  <title>FUNDING</title>
  <p>The authors received no financial support for the research,
  authorship, or publication of this article.</p>
</sec>
<sec id="competing-interests">
  <title>COMPETING INTERESTS</title>
  <p>All authors have reviewed and approved the final version of the
  manuscript, and they have agreed to its publication in the Journal of
  Society Medicine.</p>
  <p><bold>AUTHORS’ CONTRIBUTIONS</bold></p>
  <p>A.M.H., MA.M.H., M.A.R.G., Y.P., and H.S. conceived and designed
  the study. A.M.H. collected, analyzed, and interpreted the data and
  drafted the manuscript. M.A.R.G., Y.P., and H.S. critically revised
  the manuscript. All authors approved the final version and agreed to
  be accountable for the work.</p>
</sec>
<sec id="acknowledgments">
  <title>ACKNOWLEDGMENTS</title>
  <p>The authors express their sincere appreciation to the Faculty of
  Medicine, Universitas Sumatera Utara, Medan, Indonesia, for the
  institutional support provided throughout the completion of this
  study.</p>
  
</sec>
</body>
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