Abstract:Background
The relationship between habitual physical activity (PA) and experimental pain tolerance has been investigated in small samples of young, healthy and/or single‐sex volunteers. We used a large, population‐based sample to assess this relationship in men and women with and without chronic pain.
Methods
We used data from the sixth and seventh Tromsø Study surveys (2007–2008; 2015–2016), with assessed pain tolerance of participants with the cold pressor test (CPT: dominant hand in circulating cold water … Show more
“…The strongest predictor of pain intensity during DOMS was cPTT. Higher baseline tolerance was associated with lower DOMS severity, which is consistent with literature, showing lower pain tolerance thresholds generally to be present in chronic pain populations [64,65] associated with non-recovery after injury [66] and clinical pain intensity [67], development of persistent post-operative pain [68,69], various other health-related factors including analgesic consumption [70] and lack of physical activity [71]. Compared to pain detection thresholds, pain tolerance has long been thought to reflect more cognitive-evaluative aspects [72].…”
Section: Baseline Prediction Of Experimental Muscle Pain Intensitysupporting
Musculoskeletal pain affects approximately 20% of the population worldwide and represents one of the leading causes of global disability. As yet, precise mechanisms underlying the development of musculoskeletal pain and transition to chronicity remain unclear, though individual factors such as sleep quality, physical activity, affective state, pain catastrophizing and psychophysical pain sensitivity have all been suggested to be involved. This study aimed to investigate whether factors at baseline could predict musculoskeletal pain intensity to an experimental delayed onset of muscle soreness (DOMS) pain model. Demographics, physical activity, pain catastrophizing, affective state, sleep quality, isometric force production, temporal summation of pain, and psychophysical pain sensitivity using handheld and cuff algometry were assessed at baseline (Day-0) and two days after (Day-2) in 28 healthy participants. DOMS was induced on Day-0 by completing eccentric calf raises on the non-dominant leg to fatigue. On Day-2, participants rated pain on muscle contraction (visual analogue scale, VAS, 0-10cm) and function (Likert scale, 0–6). DOMS resulted in non-dominant calf pain at Day-2 (3.0±2.3cm), with significantly reduced isometric force production (P<0.043) and handheld pressure pain thresholds (P<0.010) at Day-2 compared to Day-0. Linear regression models using backward selection predicted from 39.3% (P<0.003) of VAS to 57.7% (P<0.001) of Likert score variation in DOMS pain intensity and consistently included cuff pressure pain tolerance threshold (P<0.01), temporal summation of pain (P<0.04), and age (P<0.02) as independent predictive factors. The findings indicate that age, psychological and central pain mechanistic factors are consistently associated with pain following acute muscle injury.
“…The strongest predictor of pain intensity during DOMS was cPTT. Higher baseline tolerance was associated with lower DOMS severity, which is consistent with literature, showing lower pain tolerance thresholds generally to be present in chronic pain populations [64,65] associated with non-recovery after injury [66] and clinical pain intensity [67], development of persistent post-operative pain [68,69], various other health-related factors including analgesic consumption [70] and lack of physical activity [71]. Compared to pain detection thresholds, pain tolerance has long been thought to reflect more cognitive-evaluative aspects [72].…”
Section: Baseline Prediction Of Experimental Muscle Pain Intensitysupporting
Musculoskeletal pain affects approximately 20% of the population worldwide and represents one of the leading causes of global disability. As yet, precise mechanisms underlying the development of musculoskeletal pain and transition to chronicity remain unclear, though individual factors such as sleep quality, physical activity, affective state, pain catastrophizing and psychophysical pain sensitivity have all been suggested to be involved. This study aimed to investigate whether factors at baseline could predict musculoskeletal pain intensity to an experimental delayed onset of muscle soreness (DOMS) pain model. Demographics, physical activity, pain catastrophizing, affective state, sleep quality, isometric force production, temporal summation of pain, and psychophysical pain sensitivity using handheld and cuff algometry were assessed at baseline (Day-0) and two days after (Day-2) in 28 healthy participants. DOMS was induced on Day-0 by completing eccentric calf raises on the non-dominant leg to fatigue. On Day-2, participants rated pain on muscle contraction (visual analogue scale, VAS, 0-10cm) and function (Likert scale, 0–6). DOMS resulted in non-dominant calf pain at Day-2 (3.0±2.3cm), with significantly reduced isometric force production (P<0.043) and handheld pressure pain thresholds (P<0.010) at Day-2 compared to Day-0. Linear regression models using backward selection predicted from 39.3% (P<0.003) of VAS to 57.7% (P<0.001) of Likert score variation in DOMS pain intensity and consistently included cuff pressure pain tolerance threshold (P<0.01), temporal summation of pain (P<0.04), and age (P<0.02) as independent predictive factors. The findings indicate that age, psychological and central pain mechanistic factors are consistently associated with pain following acute muscle injury.
“…12 However, these thresholds are commonly reported to represent different constructs, with pain tolerance showing more consistent relation to cognitive-evaluative features like pain-related fear and expectations, 43 personality traits, 23 and other general health markers. 2,51 In relation to CPM, significant differences between controls and patients with RLBP were not observed. This is not consistent with CPM findings from the usual ramped cuff paradigm published previously in this cohort 32 nor with prior meta-analyses showing generally reduced efficacy of CPM in LBP.…”
Section: Basal Pain Sensitivitymentioning
confidence: 87%
“…12 However, these thresholds are commonly reported to represent different constructs, with pain tolerance showing more consistent relation to cognitive-evaluative features like pain-related fear and expectations, 43 personality traits, 23 and other general health markers. 2,51…”
Supplemental Digital Content is Available in the Text.Positive affect and distraction allowed for conditioned pain modulation and reduced conditioning pain perception among both patients and controls, whereas negative affect impaired pain modulation.
“…A single bout of aerobic exercise may lead to exercise-induced hypoalgesia (EIH) in healthy controls (10), but for patients with chronic pain it may, on the contrary, be less efficient or increase pain sensitivity (8). A more enduring hypoalgesia has been suggested as a feature associated with increased levels of habitual PA for healthy people (11). Lower sensitivity to experimental pressure pain is significantly associated with male sex and more habitual self-reported PA (11)(12)(13)(14).…”
Section: Lay Abstractmentioning
confidence: 99%
“…A more enduring hypoalgesia has been suggested as a feature associated with increased levels of habitual PA for healthy people (11). Lower sensitivity to experimental pressure pain is significantly associated with male sex and more habitual self-reported PA (11)(12)(13)(14). Habitual PA and aerobic training may generally influence pain perception (11,15,16).…”
Objective: To explore the associations between habitual self-reported physical activity, pain sensitivity and patient-reported outcomes (including pain intensity) in patients with chronic pain.
Design: Cross-sectional, experimental study.
Subjects: Patients (n = 78), age range 18–65 years, with different chronic pain conditions (> 3 months) were compared with age- and gender-matched healthy controls (n = 98).
Methods: Multivariate correlations between self-reported physical activity, pressure pain thresholds, and patient-reported outcome measures were assessed.
Results: Lower perceived health status (p < 0.001, Cohen’s d = 2.34), higher levels of depression (p < 0.001, Cohen’s d = 1.77), and lower pressure pain tolerance threshold (p < 0.001, Cohen’s d = 1.66) were the most prominent variables discriminating patients from controls. In patients, bivariate and multivariate analyses showed that higher pressure pain tolerance was associated with male gender, lower pain intensity and fewer painful regions, higher self-efficacy and more self-reported physical activity, but not with lower levels of anxiety and depression.
Conclusion: Pressure pain tolerance thresholds, as well as degree of depression and perceived health status discriminated between patients and controls, and there was an association between pain tolerance and level of self-reported physical activity in patients. This study highlights the importance of further research into how increased physical activity may improve pain sensitivity in patients with chronic pain.
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