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Arthritis Research & Therapy

Research article
Open Access

Pain sensitivity at rest and during muscle contraction in persons with rheumatoid arthritis: a substudy within the Physical Activity in Rheumatoid Arthritis 2010 study

Arthritis Research & Therapy201820:48

https://doi.org/10.1186/s13075-018-1513-3

©  The Author(s). 2018

Received: 11 October 2017

Accepted: 3 January 2018

Published: 15 March 2018

Abstract

Background

We aimed to explore pressure pain sensitivity and the function of segmental and plurisegmental exercise-induced hypoalgesia (EIH) in persons with rheumatoid arthritis (RA) compared with healthy control subjects (HC).

Methods

Forty-six participants with RA (43 female, 3 male) and 20 HC (16 female, 4 male) participated in the study. Pressure pain thresholds, suprathreshold pressure pain at rest, and segmental and plurisegmental EIH during standardised submaximal contractions were assessed by algometry. Assessments of EIH were made by performing algometry alternately at the contracting (30% of the individual maximum) right m. quadriceps and the resting left m. deltoideus.

Results

Participants with RA had higher sensitivity to pressure pain (RA, 318 kPa; HC, 487 kPa; p < 0.001), suprathreshold pressure pain 4/10 (RA, 433 kPa; HC, 638 kPa; p = 0.001) and suprathreshold pressure pain 7/10 (RA, 620 kPa; HC, 851 kPa; p = 0.002) than HC. Segmental EIH (RA, 0.99 vs 1.27; p < 0.001; HC, 0.89 vs 1.10; p = 0.016) and plurisegmental EIH (RA, 0.95 vs 1.36; p < 0.001; HC, 0.87 vs 1.31; p < 0.001) increased significantly during static muscle contraction in both groups alike (p > 0.05).

Conclusions

Our results indicate a generally increased pain sensitivity but normal function of EIH among persons with RA and offer one possible explanation for pain reduction observed in this group of patients following clinical exercise programmes.

Trial registration

ISRCTN registry, ISRCTN25539102. Retrospectively registered on 4 March 2011.

Keywords

ArthritisExercisePain measurementPain threshold

Significance and innovations

  • Persons with rheumatoid arthritis (RA) have a generally increased pressure pain sensitivity.

  • Static muscle contraction reduces pressure pain among both persons with RA and control subjects with no major pain alike.

  • Our results offer one possible explanation for pain reduction observed in patients with RA following clinical exercise programmes.

Background

Pain, tenderness and impaired muscle function are common in persons with rheumatoid arthritis (RA) [1]. Pain is the most common and disabling symptom [2] and is also found to be the main predictor of general health perception in patients with RA [3]. Pain is assumed to be linked to inflammation, but many persons with RA have continued pain despite adequately controlled inflammation [2]. The mechanisms behind non-inflammatory pain in RA, commonly considered as multifactorial, are not fully understood. In RA it might be caused by peripheral mechanisms, such as peripheral joint damage [4], possibly inducing peripheral sensitisation. Central mechanisms might also contribute to pain in RA by amplifying ascending nociceptive signalling due to sensitisation in ascending nociceptive pathways, increased descending facilitation and/or impaired descending inhibitory pathways (i.e., central sensitisation) [4, 5]. Previous findings support the presence of central pain mechanisms in RA. Thus, lower pain thresholds were found in patients with RA compared with healthy control subjects (HC), both at joints and at non-inflamed tissue, in studies using pressure algometry [5, 6]. Furthermore, hypersensitivity to thermal stimuli has been reported at both non-articular and articular sites [7]. Also, a general increase in pain sensitivity was found in patients with long-standing RA (>5 years) compared with those with more recent onset (<1 year) [5]. The data indicated that the generalised alteration of pain processing was due to sensitisation of central nociceptive neurons and/or increased activity in the descending facilitatory pathways, because normal function of conditioning pain modulation was found [5].

Data derived from animal studies indicate an interaction of opioid and serotonergic mechanisms to promote exercise-induced hypoalgesia (EIH) [8]. Also, endogenous opioids have been implicated during EIH in humans, but mainly during high-intensity and long-duration exercise [8, 9]. Recently, a genetic association study in humans showed that genetically inferred increased opioid signalling in combination with decreased serotonergic signalling produced better EIH in HC as well as in patients with fibromyalgia (FM). The study revealed antagonistic interactions between opioid and serotonergic signalling upon EIH [10]. On a behaviour level, exercise activates pain-inhibitory mechanisms in healthy persons with subsequent increase of pain thresholds during muscle contraction [11]. Persons with central sensitisation who were diagnosed with, for example, FM or FM with comorbid chronic fatigue syndrome respond differently [9, 10, 12–14], owing to a dysfunction of endogenous pain-inhibitory mechanisms during exercise (i.e., dysfunctional EIH). In patients with osteoarthritis (OA) in the hip or knee, we found increased pain sensitivity but normal function of EIH during muscle contractions [15]. These results align with the results of our previous pilot study where pain sensitivity was explored during standardised submaximal static contractions in a small sample of ten postmenopausal women with RA and indicated decreased pain thresholds compared with those in HC, but no dysfunction of segmental or plurisegmental EIH [16]. If these results can be replicated in larger samples including both men and women of different ages, they may offer one explanation for pain reduction following exercise [17]. The aim of the present study was thus to explore pressure pain sensitivity and the function of segmental and plurisegmental EIH in persons with RA compared with HC.

Methods

Participants

Forty-six persons (43 women, 3 men; mean age, 61 years [SD, 9]) with RA according to the American College of Rheumatology criteria [18], with a median disease duration of 9 years and a median activity limitation of 0.5 according to the Health Assessment Questionnaire Disability Index (HAQ-DI), participated in the present study. They represented those with complete data among the 70 participants in the Physical Activity in Rheumatoid Arthritis (PARA) 2010 study [19] volunteering to participate in the assessments of pressure pain thresholds (PPTs) and EIH. There was no difference between those with complete and incomplete data in important background data or baseline data, such as disease duration, pain scores and PPT levels.

The participants in the PARA 2010 study were recruited from the Swedish Rheumatology Quality Registers for an intervention study with a health-enhancing physical activity (HEPA) support programme, for which they were eligible if aged 18–75 years, independent in daily living (HAQ-DI score ≤ 2), interested in participating in organised physical activity, fluent in Swedish and not currently obtaining maintained HEPA levels for at least 6 months [20]. Participants were recruited by way of a mailed questionnaire [20]. Those returning the questionnaire and fulfilling the inclusion criteria were asked to participate in the intervention study. A subsample consisting of those living in the Stockholm or Umeå area was invited to participate in extra assessments of pain sensitivity and EIH in addition to performance tests and having anthropometric data collected for all study participants. Twenty persons without major joint or muscle pain (16 women and 4 men; mean age, 60 years [SD, 6]), matched for age and sex, served as HC and were recruited via advertisements posted at Karolinska Institutet and Karolinska University Hospital in Huddinge, Sweden.

Assessments

In the present study we used baseline data from the PARA intervention study collected with questionnaires and pressure algometry.

Questionnaires

The questionnaires included information about the following:
  1. 1.

    Health-related quality of life as measured with the EuroQol-5D thermometer (EQ 5D) assessing health on the current day from ‘worst imaginable health state’ (=0) to ‘best imaginable health state’ (=100). The EQ-5D has construct validity in persons with RA, is responsive to change and is satisfactorily reliable for group comparisons [21].

     
  2. 2.

    Activity limitation as measured with the HAQ-DI [22]. The HAQ-DI comprises 20 questions addressing activities of daily living performed within the past week: dressing and grooming, arising, eating, performing personal hygiene, reaching, gripping, walking and engaging in common daily activities. Each item is scored from ‘with no difficulty’ (=0) to ‘unable to perform’ (=3) The HAQ-DI is valid and reliable in persons with RA [23].

     
  3. 3.

    HEPA as measured with the International Physical Activity Questionnaire short version, a self-administered questionnaire about physical activity at several intensity levels and across the domains of home, work, transport and leisure undertaken over the 7 days before the assessment. The short version has acceptable test-retest reliability and criterion-related validity [24].

     

Algometry

Pressure algometry [25] at rest and during standardised static muscle contractions [26] was used to assess PPTs and EIH. The algometer (Somedics Production AB, Hörby, Sweden) had a probe area of 1 cm2, and the pressure increase was kept at a rate of approximately 50 kPa/second [25]. Four physiotherapists trained to use the equipment performed assessments.

Assessments of PPTs

The assessment of PPTs included information about the following:
  1. 1.

    Global pain at rest was rated on a visual analogue scale (VAS; range, 0–100) before PPTs were assessed.

     
  2. 2.

    PPTs were assessed at rest bilaterally once at six sites (left and right m. supraspinatus, m. gluteus maximus, and the lateral epicondyles). The participants were instructed to indicate when the pressure sensation became painful by pressing the push button on the algometer. The mean of the stimulus intensity (kPa) of the six sites was calculated for each participant and used as the individual PPT mean.

     
  3. 3.

    Suprathreshold pressure pain sensitivity at rest was assessed at the same six sites. The participants were asked to indicate when the pressure reached an intensity rated as 4/10 and 7/10 on the Borg category ratio 10 scale [27, 28]. The means of the stimulus intensity (kPa) of the six sites (4/10 and 7/10) were calculated for each participant and used as suprathreshold 4/10 and suprathreshold 7/10.

     

Assessment of EIH

The assessment of EIH included information about the following:
  1. 1.

    The maximum voluntary contraction force (MVC) of the right leg extensors was determined as a basis for the assessment of EIH. MVC was tested using a Biodex Multi-Joint System 4 Pro dynamometer (Biodex Medical Systems, Shirley, NY, USA) with the participant in a sitting position with hip and knee joints flexed to 90 degrees and hands resting in the lap. Three 5-second measurements of MVC were taken with 1-minute rests in between. The highest of the three recorded values was determined to be each participant’s MVC.

     
  2. 2.

    PPTs at rest were assessed at the right m. quadriceps and the left m. deltoideus before the contraction to establish baseline values.

     
  3. 3.

    EIH assessment was based on one submaximal isometric contraction. Segmental EIH was assessed at the contracting right m. quadriceps, and plurisegmental EIH was assessed at the resting left m. deltoideus. The contraction was performed with the participants sitting in the Biodex dynamometer with their hip and knee joints flexed to 90 degrees. They were instructed to perform a right-leg isometric knee extension contraction and to maintain it until they were unable to sustain 30% of their MVC, as indicated by the Biodex dynamometer (maximum 5 minutes). Throughout the contraction PPTs were assessed twice per site (right m. quadriceps and left m. deltoideus) every 30 seconds.

     
  4. 4.

    The worst thigh pain during contraction was rated on a VAS (0–100) after the isometric muscle contraction until exhaustion.

     

Statistics

Descriptive data are presented as mean and SD for parametric variables and as median and 25th–75th percentiles for non-parametric data. Differences between groups in parametric data were calculated with the independent samples test and in non-parametric data with Mann-Whitney U test, and the level of significance was set at 0.05.

Segmental and plurisegmental EIH

Because baseline PPT values can be expected to vary considerably within individuals [25] and also to differ between participants with RA and HC, the relative change in PPTs during contraction was analysed to assess EIH. As in previous studies [13, 15], the PPTs were normalised by dividing each PPT value for each participant by his or her first PPT measure at the corresponding site (the first PPT at baseline).

The values divided by the first PPT at baseline were the second PPT value of the two at baseline (nPPTbase), the first PPT during contraction (nPPTstart), the middle value or (if uneven number of PPTs) the mean value of the two middle values (nPPTmid), and the last PPT (nPPTend) for each individual at m. quadriceps (segmental EIH) and m. deltoideus (plurisegmental EIH). The mean and SD values were calculated.

The segmental EIH effects were assessed by analysing normalised PPTs at the contracting m. quadriceps using repeated measures analysis of variance with the within factor time (four levels: at baseline and three times during contraction [start, middle and end]) and the between-subject factor group (RA and HC). Greenhouse-Geisser corrections were used in cases of significant tests of sphericity. The plurisegmental EIH effects were analysed in the same way using the normalised PPTs of the distant resting m. deltoideus.

Results

Participant characteristics

The participants with RA did not differ significantly from HC in age or sex, but they rated their health-related quality of life lower and activity limitation higher than HC, and they were also less physically active (Table 1).
Table 1

Characteristics and baseline information for participants with rheumatoid arthritis and healthy control subjects

 

RA

(n = 46)

HC

(n = 20)

p Value

Age, years, mean (SD)

61 (9)

60 (6)

n.s.

Female sex, n (%)

43 (94)

16 (80)

n.s.

Disease duration, years, median (25th–75th percentiles)

9 (5–19)

n.a.

n.a.

HRQoL (EQ-5D), 0–100, median (25th–75th percentiles)

80 (65–85)

91 (90–98)

<0.001

Activity limitation (HAQ-DI), 0–3, median (25th–75th percentiles)

0.50 (0.09–0.88)

0 (0.00–0.00)

<0.001

HEPA (IPAQ), yes/no, n (%)

34/12 (74/26)

19/1 (95/5)

0.049

Abbreviations: RA Rheumatoid arthritis, HC Healthy control subjects, n.s. Non-significant, HRQoL Health-related quality of life, EQ-5D EuroQol-5 thermometer, HAQ-DI Health Assessment Questionnaire Disability Index, HEPA Health-enhancing physical activity, IPAQ International Physical Activity Questionnaire, n.a. not assessed

PPTs

The participants with RA rated global pain at rest higher than HC. They also had lower PPTs than HC (Table 2).
Table 2

Pressure pain thresholds

 

RA

(n = 45)

HC

(n = 20)

p Value

Global pain at rest (VAS), 0–100, median (25th–75th percentiles)

11 (0–24)

0 (0–0)

<0.001

PPTs (kPa)

   

 Individual PPT mean, kPa, mean (SD)

318 (146)

487 (194)

<0.001

 Suprathreshold 4/10, kPa, mean (SD)

433 (202)

638 (215)

0.001

 Suprathreshold 7/10, kPa, mean (SD)

620 (285)

851 (236)

0.002

Abbreviations: RA Rheumatoid arthritis, HC Healthy control subjects, PPT Pressure pain threshold, VAS Visual analogue scale

Data are presented for global pain at rest, PPTs at rest (individual PPT mean) and suprathreshold pressure pain (suprathresholds 4/10 and 7/10) for participants with RA and HC

EIH

Absolute PPTs at baseline were significantly lower for participants with RA than for HC, both at m. quadriceps (RA mean, 548 kPa [SD, 308]; HC mean, 799 kPa [SD, 291]; p = 0.004) and at m. deltoideus (RA mean, 261 kPa [SD, 130]; HC mean, 376 kPa [SD, 164]; p = 0.005).

Segmental EIH

The mean time for the submaximal isometric contractions (maximum, 5 minutes) was 4 minutes and 6 seconds for participants with RA (mean MVC, 105 N) and 3 minutes and 40 seconds for HC (mean MVC, 135 N). Normalised PPTs at the contracting m. quadriceps increased significantly in both groups (RA, 0.99 vs 1.27; p < 0.001; HC, 0.89 vs 1.10; p = 0.016) alike (p = 0.531) from baseline to the end of the m. quadriceps contraction, indicating a functioning segmental EIH (Fig. 1a).
Figure 1
Fig. 1

a and b Normalised pressure pain thresholds (PPTs) (mean ± SE) at the contracting (a) or distant resting (b) muscle at baseline, at the start of, in the middle of and at the end of a standardised contraction of m. quadriceps corresponding to 30% of maximum voluntary contraction force. Each PPT value was normalised and adjusted (by adding a coefficient) so that the baseline value always corresponds to 1. Values > 1.0 indicate higher PPTs during contraction (i.e., activation of exercise-induced hypoalgesia [EIH])

There was a significant effect for the factor time (df =2.288, F = 11.657, p < 0.001), but no significant effect was seen for group, nor did we find a significant time × group interaction. Post hoc analysis revealed a significant increase in normalised PPTs from baseline to end of contraction in both groups. Increases in normalised PPTs also occurred in participants with RA from baseline to the first PPTs during contraction, as well as in both participants with RA and HC from the first PPTs during contraction to the PPT at the middle of the contraction (Fig. 1a).

Plurisegmental EIH

Normalised PPTs at the distant resting m. deltoideus increased significantly in both groups (RA, 0.95 vs 1.36; p < 0.001; HC, 0.87 vs 1.31; p < 0.001) alike (p = 0.863) from baseline to the end of the quadriceps contraction, indicating a functioning plurisegmental EIH (Fig. 1b). There was a significant effect for the factor time (df = 2.196, F = 26.182, p < 0.001), but no significant effect was seen for group, nor did we find a significant time × group interaction. Post hoc analysis revealed a significant increase in normalised PPTs from baseline to end of contraction in both groups. Increases also occurred in both participants with RA and HC from baseline to the first PPTs during contraction and from the first PPTs during contraction to the PPT at the middle of the contraction (Fig. 1b). The worst thigh pain perceived during contraction was rated higher (p = 0.003) by the participants with RA than by HC (RA median, 22; 25th–75th percentiles, 2–52, HC median, 0; 25th–75th percentiles, 0–26).

Discussion

To our knowledge, this is the first study exploring pressure pain sensitivity and activation of EIH in a sample of both men and women with RA and comparing them with HC without major pain. Our main findings indicate that persons with RA have higher pain sensitivity but a normal activation of segmental and plurisegmental EIH. Our results thus confirm those derived from our previous pilot study [15] and offer a possible explanation for pain reduction observed in persons with RA following clinical exercise programmes.

Higher pressure pain sensitivity at muscle tissue in persons with RA at rest as found in the present study suggests involvement of central pain mechanisms (e.g., central sensitisation, including facilitation and/or disinhibition) in RA pain. These findings agree with results of previous studies [5, 16, 29] in which researchers reported decreased pressure pain thresholds at non-inflamed tissue in patients with RA. The present results also confirm the findings of our previous pilot study [16] demonstrating hypersensitivity in postmenopausal women with RA and further support that persons with RA may have dysfunctional pain processing with widespread central sensitisation.

Our findings of higher ratings of global pain at rest and in worst pain in the thigh during contraction among participants with RA compared with HC indicate that persons with RA may experience increased pain during exercise. However, the pain ratings represented a wide range, especially those of ‘worst pain during exercise’. This might be imperative to individualise exercise support, such as in the context of the fear-avoidance model, where pain intensity is suggested to predict disability mediated by fear avoidance [30]. In our recent study, high fear avoidance was correlated with male sex, low income, high pain ratings, poor perceived health, low health-related quality of life and low exercise self-efficacy [31]. Thus, pain is a complex phenomenon, and numerous factors other than pain physiology need to be taken into account when tailoring therapeutic exercise to an individual person with RA.

We found normal activation of pain-inhibitory mechanisms during static contraction, both segmental and plurisegmental, in the participants with RA. Another study exploring endogenous pain modulation in response to submaximal exercise on a bicycle ergometer in RA [14] found a normal decrease in temporal summation of painful stimuli in patients with RA, thus suggesting a decrease in pain-facilitatory mechanisms during dynamic exercise in RA.

In other chronic pain conditions, different responses in pain modulation have been found during exercise. In a previous study assessing patients with hip or knee OA, we found increased pressure pain sensitivity, but a normal function of segmental and plurisegmental EIH, during static contractions [25], which is in accordance with our present findings in persons with RA. In contrast, patients with whiplash-associated disorders were found to have increased temporal summation of pain, suggesting dysfunction in pain-inhibitory mechanisms [32]. Furthermore, patients with FM showed hyperalgesia and no activation of pain-inhibitory mechanisms, segmental or plurisegmental, during static muscle contractions. Rather, an increase in pain sensitivity was seen [10, 13]. Patients with shoulder myalgia showed an activation of the pain-inhibitory mechanisms when contracting a non-painful muscle distant to the pain but a lack of activation when contracting the painful muscle [13]. Thus, on the basis of earlier studies, EIH seems to be normally activated when exercising non-painful but not painful muscles, as well as normally activated in patients with chronic joint pain such as in OA.

In populations with RA, FM is a quite common co-morbidity [33, 34]. One hypothesis presented is that the dysfunction in pain processing in RA has similarities to the dysfunction found in FM [33]. Our results indicate that the dysfunction in pain processing differs between RA and FM; the participants with RA showed augmented pain sensitivity similar to FM but normal activation of the pain-inhibitory mechanisms during muscle contraction. Interestingly enough, the same pattern has been observed in OA [15]. With these results in mind, further exploration of pain processing during a long-term physical activity programme would add important information about the nature of the pain-processing dysfunction in RA.

One strength of our study is its sample, which has to be considered suitable for one including standardised assessments by algometry of PPTs as well as EIH. One limitation is that no disease activity data were available for our study participants. However, our recordings of pain, health-related quality of life and activity limitation, taken together, indicate that disease activity was low to moderate. Another possible limitation is selection bias, with the inclusion of participants with RA being limited to those interested and fit enough to participate in a physical activity support programme. For example, persons with HAQ-DI values > 2 would, by definition, not be able to exercise independently. Thus, our results can be generalised only to populations with RA that are most likely to have a chance to influence their pain sensitivity with exercise. The fairly high dropout rate due to incomplete data was the result of an administrative error and should not influence the external validity of our results. This was also confirmed by the dropout analysis indicating no major differences between those with complete data and those with incomplete data.

Despite our study’s indication that persons with RA might be able to reduce their pain with exercise, the optimal type and dose for adequate pain reduction need to be further explored. Although controlled trials in clinical or research settings are the most frequent study design for evaluating pain reduction by exercise, future studies should also explore the potential effects on pain sensitivity and EIH of physical activity outside health-care contexts.

Conclusions

Our results indicate a generally increased pain sensitivity but normal function of EIH among persons with RA and thus offer one possible explanation for pain reduction observed in this group of patients following clinical exercise programmes. More research is needed to explore the adequate exercise type and dose for optimal response in terms of pain modulation.

Abbreviations

EIH: 

Exercise-induced hypoalgesia

EQ-5D: 

EuroQol-5D thermometer

FM: 

Fibromyalgia

HAQ-DI: 

Health Assessment Questionnaire Disability Index

HC: 

Healthy control subjects

HEPA: 

Health-enhancing physical activity

HRQoL: 

Health-related quality of life

IPAQ: 

International Physical Activity Questionnaire

MVC: 

Maximal voluntary contraction

n.s.: 

Not significant

nPPTbase: 

Second pressure pain threshold value of two at baseline

nPPTend: 

Last pressure pain threshold value

nPPTmid: 

Middle or mean value of two middle pressure pain threshold values

nPPTstart: 

First pressure pain threshold during contraction

OA: 

Osteoarthritis

PARA: 

Physical Activity in Rheumatoid Arthritis 2010 study

PPT: 

Pressure pain threshold

RA: 

Rheumatoid arthritis

VAS: 

Visual analogue scale

Declarations

Acknowledgements

We gratefully acknowledge financial support from the Swedish Research Council, the Forte Foundation, Combine Sweden, the Swedish Rheumatism Foundation, the Norrbacka-Eugenia Foundation, the Strategic Research Program in Health Care Sciences and the National Postgraduate School of Health Care Sciences.

Availability of data and materials

The datasets generated and/or analysed during the present study are not publicly available.

Authors’ contributions

EK and CHO contributed to study conception and design. ID, IEL, BN and CHO performed participant recruitment. ID, CF, BN and CHO were involved in data collection. EK and ML performed data analysis and interpretation. EK, ML and CHO drafted the manuscript and revised it critically. ID, CF, IEL and BN revised the manuscript critically. All authors participated sufficiently in the work to take public responsibility for appropriate portions of the content and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

Ethics approval and consent to participate

All participants were informed about the HEPA intervention and the assessment procedures in writing and consented by presenting themselves at the baseline assessments. The study was approved by the Regional Board of Ethics in Stockholm (2009/1509-31/1 and 2012/769-32).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
(2)
Department of Rehabilitation Medicine, Danderyd Hospital, Stockholm, Sweden
(3)
Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
(4)
Rheumatology Clinic, Karolinska University Hospital, Solna, Sweden
(5)
Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Solna, Karolinska Institutet, Stockholm, Sweden
(6)
Functional Area Occupational Therapy & Physiotherapy, Allied Health Professionals’ Function, Karolinska University Hospital, Stockholm, Sweden
(7)
Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
(8)
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
(9)
Stockholm Spine Centre, Stockholm, Sweden

References

  1. Heiberg T, Finset A, Uhlig T, Kvien TK. Seven year changes in health status and priorities for improvement of health in patients with rheumatoid arthritis. Ann Rheum Dis. 2005;64:191–5.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Lee YC, Cui J, Lu B, Frits ML, Iannaccone CK, Shadick NA, et al. Pain persists in DAS28 rheumatoid arthritis remission but not in ACR/EULAR remission: a longitudinal observational study. Arthritis Res Ther. 2011;13:R83.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Eurenius E, Brodin N, Lindblad S, Opava CH. Predicting physical activity and general health perception among patients with rheumatoid arthritis. J Rheumatol. 2007;34:10–5.PubMedGoogle Scholar
  4. Boyden SD, Hossain IN, Wohlfahrt A, Lee YC. Non-inflammatory causes of pain in patients with rheumatoid arthritis. Curr Rheumatol Rep. 2016;18:30.View ArticlePubMedGoogle Scholar
  5. Leffler AS, Kosek E, Lerndal T, Nordmark B, Hansson P. Somatosensory perception and function of diffuse noxious inhibitory controls (DNIC) in patients suffering from rheumatoid arthritis. Eur J Pain. 2002;6:161–76.View ArticlePubMedGoogle Scholar
  6. Meeus M, Vervisch S, De Clerck LS, Moorkens G, Hans G, Nijs J. Central sensitization in patients with rheumatoid arthritis: a systematic literature review. Semin Arthritis Rheum. 2012;41:556–67.View ArticlePubMedGoogle Scholar
  7. Edwards RR, Wasan AD, Bingham 3rd CO, Bathon J, Haythornthwaite JA, Smith MT, et al. Enhanced reactivity to pain in patients with rheumatoid arthritis. Arthritis Res Ther. 2009;11:R61.View ArticlePubMedPubMed CentralGoogle Scholar
  8. Lima LV, Abner TSS, Sluka KA. Does exercise increase or decrease pain? Central mechanisms underlying these two phenomena. J Physiol. 2017;595:4141–50.View ArticlePubMedGoogle Scholar
  9. Nijs J, Kosek E, Van Oosterwijck J, Meeus M. Dysfunctional endogenous analgesia during exercise in patients with chronic pain: to exercise or not to exercise? Pain Physician. 2012;15(3 Suppl):ES205–13.PubMedGoogle Scholar
  10. Tour J, Löfgren M, Mannerkorpi K, Gerdle B, Larsson A, Palstam A, et al. Gene-to-gene interactions regulate endogenous pain modulation in fibromyalgia patients and healthy controls—antagonistic effects between opioid and serotonin-related genes. Pain. 2017;158:1194–203.View ArticlePubMedPubMed CentralGoogle Scholar
  11. Koltyn KF, Garvin AW, Gardiner RL, Nelson TF. Perception of pain following aerobic exercise. Med Sci Sports Exerc. 1996;28:1418–21.View ArticlePubMedGoogle Scholar
  12. Kosek E, Ekholm J, Hansson P. Modulation of pressure pain thresholds during and following isometric contraction in patients with fibromyalgia and in healthy controls. Pain. 1996;64:415–23.View ArticlePubMedGoogle Scholar
  13. Lannersten L, Kosek E. Dysfunction of endogenous pain inhibition during exercise with painful muscles in patients with shoulder myalgia and fibromyalgia. Pain. 2010;151:77–86.View ArticlePubMedGoogle Scholar
  14. Meeus M, Hermans L, Ickmans K, Struyf F, Van Cauwenbergh D, Bronckaerts L, et al. Endogenous pain modulation in response to exercise in patients with rheumatoid arthritis, patients with chronic fatigue syndrome and comorbid fibromyalgia, and healthy controls: a double-blind randomized controlled trial. Pain Pract. 2015;15:98–106.View ArticlePubMedGoogle Scholar
  15. Kosek E, Roos EM, Ageberg E, Nilsdotter A. Increased pain sensitivity but normal function of exercise induced analgesia in hip and knee osteoarthritis – treatment effects of neuromuscular exercise and total joint replacement. Osteoarthritis Cartilage. 2013;21:1299–307.View ArticlePubMedGoogle Scholar
  16. Fridén C, Thoors U, Glenmark B, Kosek E, Nordmark B, Lundberg IE, et al. Higher pain sensitivity and lower muscle strength in postmenopausal women with early rheumatoid arthritis compared with age-matched healthy women – a pilot study. Disabil Rehabil. 2013;35:1350–6.View ArticlePubMedGoogle Scholar
  17. Stenstrom CH, Minor MA. Evidence for the benefit of aerobic and strengthening exercise in rheumatoid arthritis. Arthritis Rheum. 2003;49:428–34.View ArticlePubMedGoogle Scholar
  18. Arnett FC, Edworthy SM, Bloch DA, McShane DJ, Fries JF, Cooper NS, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31:315–24.View ArticlePubMedGoogle Scholar
  19. Nordgren B, Fridén C, Demmelmaier I, Bergström G, Lundberg IE, Dufour AB, et al. An outsourced health-enhancing physical activity programme for people with rheumatoid arthritis: exploration of adherence and response. Rheumatology (Oxford). 2015;54:1065–73.View ArticleGoogle Scholar
  20. Nordgren B, Fridén C, Demmelmaier I, Bergstrom G, Opava CH. Long-term health-enhancing physical activity in rheumatoid arthritis – the PARA 2010 study. BMC Public Health. 2012;12:397.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Hurst NP, Kind P, Ruta D, Hunter M, Stubbings A. Measuring health-related quality of life in rheumatoid arthritis: validity, responsiveness and reliability of EuroQol (EQ-5D). Br J Rheumatol. 1997;36:551–9.View ArticlePubMedGoogle Scholar
  22. Fries JF, Spitz P, Kraines RG, Holman HR. Measurement of patient outcome in arthritis. Arthritis Rheum. 1980;23:137–45.View ArticlePubMedGoogle Scholar
  23. Ekdahl C, Eberhardt K, Andersson SI, Svensson B. Assessing disability in patients with rheumatoid arthritis: use of a Swedish version of the Stanford Health Assessment Questionnaire. Scand J Rheumatol. 1988;17:263–71.View ArticlePubMedGoogle Scholar
  24. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.View ArticlePubMedGoogle Scholar
  25. Kosek E, Ekholm J, Nordemar R. A comparison of pressure pain thresholds in different tissues and body regions: long-term reliability of pressure algometry in healthy volunteers. Scand J Rehabil Med. 1993;25:117–24.PubMedGoogle Scholar
  26. Meireles SM, Oliveira LM, Andrade MS, Silva AC, Natour J. Isokinetic evaluation of the knee in patients with rheumatoid arthritis. Joint Bone Spine. 2002;69:566–73.View ArticlePubMedGoogle Scholar
  27. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14:377–81.PubMedGoogle Scholar
  28. Pincivero DM, Coelho AJ, Erikson WH. Perceived exertion during isometric quadriceps contraction: a comparison between men and women. J Sports Med Phys Fitness. 2000;40:319–26.PubMedGoogle Scholar
  29. Dhondt W, Willaeys T, Verbruggen LA, Oostendorp RA, Duquet W. Pain threshold in patients with rheumatoid arthritis and effect of manual oscillations. Scand J Rheumatol. 1999;28:88–93.View ArticlePubMedGoogle Scholar
  30. Leeuw M, Goossens ME, Linton SJ, Crombez G, Boersma K, Vlaeyen JW. The fear-avoidance model of musculoskeletal pain: current state of scientific evidence. J Behav Med. 2007;30:77–94.View ArticlePubMedGoogle Scholar
  31. Loof H, Demmelmaier I, Henriksson EW, Lindblad S, Nordgren B, Opava CH, et al. Fear-avoidance beliefs about physical activity in adults with rheumatoid arthritis. Scand J Rheumatol. 2015;44:93–9.View ArticlePubMedGoogle Scholar
  32. Daenen L, Nijs J, Roussel N, Wouters K, Van Loo M, Cras P. Dysfunctional pain inhibition in patients with chronic whiplash-associated disorders: an experimental study. Clin Rheumatol. 2013;32:23–31.View ArticlePubMedGoogle Scholar
  33. Joharatnam N, McWilliams DF, Wilson D, Wheeler M, Pande I, Walsh DA. A cross-sectional study of pain sensitivity, disease-activity assessment, mental health, and fibromyalgia status in rheumatoid arthritis. Arthritis Res Ther. 2015;17:11.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Wolfe F, Hauser W, Hassett AL, Katz RS, Walitt BT. The development of fibromyalgia – I: examination of rates and predictors in patients with rheumatoid arthritis (RA). Pain. 2011;152:291–9.View ArticlePubMedGoogle Scholar

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Arthritis Research & Therapy

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