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Musculoskeletal pain is associated with restless legs syndrome in young adults

  • Stijn J. Hoogwout1, 7Email author,
  • Markus V. Paananen2,
  • Anne J. Smith3,
  • Darren J. Beales3,
  • Peter B. O’Sullivan3,
  • Leon M. Straker3,
  • Peter R. Eastwood4,
  • Nigel McArdle4 and
  • David Champion5, 6
BMC Musculoskeletal Disorders201516:294

https://doi.org/10.1186/s12891-015-0765-1

Received: 16 May 2015

Accepted: 8 October 2015

Published: 14 October 2015

Abstract

Background

In recent years, there is considerable evidence of a relationship between the sensorimotor disorder restless legs syndrome (RLS) and pain disorders, including migraine and fibromyalgia. An association between multi-site pain and RLS has been reported in adult women. In the current study, we explored the association between musculoskeletal (MSK) pain and RLS in a large cohort of young adults.

Methods

Twenty two year olds (n = 1072), followed since birth of part of the Western Australian Pregnancy Cohort (Raine) Study, provided data on MSK pain (duration, severity, frequency, number of pain sites). RLS was considered present when 4 diagnostic criteria recommended by the International Restless Legs Syndrome Study Group were met (urge to move, dysaesthesia, relief by movement, worsening symptoms during the evening/night) and participants had these symptoms at least 5 times per month. Associations between MSK pain and RLS were analyzed by multivariable logistic regression with bias-corrected bootstrapped confidence intervals, with final models adjusted for sex, psychological distress and sleep quality.

Results

The prevalence of RLS was 3.0 % and MSK pain was reported by 37.4 % of the participants. In multivariable logistic regression models, strong associations were found between RLS-diagnosis and long duration (three months or more) of MSK pain (odds ratio 3.6, 95 % confidence interval 1.4–9.2) and reporting three or more pain sites (4.9, 1.6–14.6).

Conclusions

Different dimensions of MSK pain were associated with RLS in young adults, suggestive of shared pathophysiological mechanisms. Overlap between these conditions requires more clinical and research attention.

Keywords

Musculoskeletal pain Restless legs syndrome Sleep disorders

Background

Restless legs syndrome (RLS) is a neurological disorder that causes an irresistible urge to move the legs, often accompanied by unpleasant sensations. The symptoms typically begin or worsen during periods of rest or inactivity, are worse during evening or night and are partially or totally relieved by movement [1]. Large epidemiologic surveys on RLS report prevalence estimates of between 4–7 % in adults [2, 3] and 2–4 % in children and adolescents [46]. In the absence of diagnosis and appropriate management, consequences of RLS include sleep disruption, increased daytime drowsiness, cognitive problems and reduced quality of life [2, 7]. Moreover, several studies have found high rates of comorbid psychiatric disorders in RLS [810] and associations between RLS and cardiovascular disease [1113].

In recent years, there has been emerging evidence of a clinically relevant relationship between RLS and pain disorders. Associations between RLS and multiple pain problems have been identified, including migraine [14] and fibromyalgia [15, 16]. A recent Swedish population-based study among middle-aged women found a strong relationship between RLS and multi-site pain, and this association increased with both pain severity and the number of pain sites [17]. The strength of the association highlights the possibility of common causal pathways. Current theories on RLS pathophysiology emphasize brain iron deficiency leading to altered dopaminergic metabolism, combined with a strong genetic background [18]. This functional dysregulation of dopaminergic circuitry has been suggested by Stehlik et al. [17] as a mechanism in both RLS and chronic multi-site pain.

The aim of the current study was to explore the association between RLS and musculoskeletal (MSK) pain in a community-based sample of young adults, while controlling for important confounding variables as sleep quality and negative emotional symptoms. This study will be among the first investigating the association between MSK pain and RLS within this age group. Based on the previous literature, we hypothesized that the association between RLS and MSK pain will be greater in individuals with severe MSK pain and with multiple pain sites.

Methods

Study population

Cross-sectional data were obtained from the participants of the Western Australian Pregnancy Cohort (Raine) Study (www.rainestudy.org.au) at the age of 22. This long-term project began as a pregnancy cohort in which 2,900 women attending antenatal clinics at a tertiary level obstetric hospital in Perth, Western Australia were enrolled between 1989 and 1991. After birth, 2,868 children remained with the study to form the Raine Study cohort. An analysis at the year 17 follow-up showed that the Raine cohort had high similarity to the Western Australian population on demographic characteristics [19]. The year 22 follow-up was conducted between March 2012 and July 2014. The study sample consisted of all active members of the cohort (n = 2,086 or 72.7 % of the original cohort of 2,868), that is those who had previously provided consent to be contacted for follow-up and were not deceased (n = 40), had not withdrawn (n = 566), or otherwise been lost to follow-up (n = 176) [20]. A comparison of the active participants with census data collected in 2011 on all similarly aged young adults in Western Australia showed that the sample remains representative on a range of variables including education level, employment status, income, marital status, number of offspring, hours work and occupation. Around the time of their 22nd birthday, participants were contacted by telephone and had the details of this follow-up explained. Those wishing to participate were mailed questionnaires, participant information and a consent form. 1,072 participants (51.4 % of active participants) provided data for the variables used in this study. Ethics approval was granted from the Human Research Ethics Committees at the University of Western Australia (approval number = RA/4/1/5202) and Curtin University (HR67/2013). The study was conducted in accordance with the Declaration of Helsinki and all participants provided informed consent.

Data collection

Musculoskeletal pain

Questions on MSK pain were based on the Orebro Musculoskeletal Pain Questionnaire [21]. Presence of MSK pain was assessed from 10 possible pain areas (neck, upper back, lower back, left/right shoulder, left/right arm, left/right leg and other) and four categories related to the number of pain sites were created: 1) no pain, 2) one pain site, 3) two pain sites and 4) three or more pain sites. The duration of the pain problem was defined as either of 1) short duration (less than three months) or 2) long duration (three months or more). The average pain intensity during the last week and last three months was assessed with a 11-point numerical pain rating scale with answer options ranging from ‘no pain’ to ‘pain as bad as it could be’ and categorized as 1) no pain (0–1), 2) mild pain (2–4), 3) moderate pain (5–6) or 4) severe pain (7–10). Average pain frequency during the last three months was also assessed with a 11-point numerical pain rating scale with answer options ranging from ‘never’ to ‘always’ and was classified as 1) no pain (0–1), 2) low frequency (2–4), 3) medium frequency (5–6) and 4) high frequency (7–10).

Restless legs syndrome

Based on the recommendations of the International Restless Legs Syndrome Study Group (IRLSSG) [1], four screening questions were used to assess the prevalence of RLS-related symptoms: 1) strong urge to move the legs when sitting or lying down, 2) accompanying dysaesthesia, 3) relief by movement and 4) worsening of symptoms during the evening/night. Individuals who answered all four questions positively and had symptoms at least 5 times per month were assigned a questionnaire-based RLS-diagnosis [22, 23].

Sleep quality

The subjective sleep quality component of the Pittsburgh Sleep Quality Index [24] was used as an indicator for sleep quality and four categories of sleep quality were assigned: 1) very good, 2) fairly good, 3) fairly bad and 4) very bad.

Anxiety/depression/stress

Data for anxiety, depression and stress were obtained using the shortened version of the Depression, Anxiety and Stress Scale (DASS-21) [25]. Although originally developed to measure psychological burden along the separate axes of depression, stress and anxiety, the DASS-21 total score can be used as a composite measure of negative emotional symptoms [25] and was used in this manner.

Smoking and body mass index (BMI)

Smoking status was assessed with a single question (‘Do you currently smoke cigarettes/cigars?’) and participants were classified accordingly as smokers or non-smokers. Height and weight were measured and BMI was calculated.

Statistical analyses

Pearson’s Chi square test was applied to test differences in RLS-diagnosis prevalence across sex and MSK pain (presence of any pain, pain duration, pain severity, pain frequency and number of pain areas). Trends within distributions were tested by means of the Pearson’s Chi square test for trend.

A multivariable logistic regression analysis was performed with RLS-diagnosis as the dependent variable. Odds ratios (OR) with bias-corrected bootstrapped 95 % confidence intervals (CI) using 1000 replications were calculated for each MSK pain variable separately and the participants with no RLS-diagnosis were used as the reference group. Confounding variables were identified and incorporated into the models. The covariates used in the final regression models were sex, DASS-21 total score and sleep quality. An additional univariable analysis was performed for the separate pain regions. Since numbers per pain region were low, multivariable analysis per pain region was not performed.

All statistical analyses were performed with IBM-SPSS version 22 software (Chicago, IL, USA). A p-value of <0.05 was considered statistically significant.

Results

The characteristics of the study sample, with the reference group compared to the RLS-diagnosis group, are shown in Table 1.
Table 1

Characteristics of the study population (n = 1072)a

 

Reference group (n = 1040)

RLS-diagnosis group (n = 32)

Total (n = 1072)

p-value (for trend)

Sex

   

0.096

 Female

560 (53.8 %)

22 (68.8 %)

582 (54.3 %)

 

 Male

480 (46.2 %)

10 (31.2 %)

490 (45.7 %)

 

Smoking

167 (16.1 %)

6 (18.8 %)

173 (16.2 %)

0.693

Mean Body Mass Index (kg/m2) (SD)

25.2 (5.5)

25.1 (4.4)

25.2 (5.5)

0.936

Sleep Quality

   

0.105 (0.023)

 Very good

160 (15.7 %)

3 (9.7 %)

163 (15.5 %)

 

 Fairly good

619 (60.6 %)

15 (48.4 %)

634 (60.3 %)

 

 Fairly bad

217 (21.3 %)

11 (35.5 %)

228 (21.7 %)

 

 Very bad

25 (2.4 %)

2 (6.5 %)

27 (2.6 %)

 

Mean DASS-21 scores (SD)

    

 Depression Subscale

6.8 (8.2)

12.0 (11.5)

7.0 (8.4)

0.017

 Anxiety Subscale

4.7 (5.7)

10.0 (8.0)

4.9 (5.8)

0.001

 Stress Subscale

9.0 (8.1)

15.5 (11.0)

9.3 (8.3)

0.002

 Total score

20.5 (19.5)

37.0 (28.3)

21.0 (20.0)

0.003

Any pain

380 (36.5 %)

21 (65.6 %)

401 (37.4 %)

0.001 (0.001)

Duration of pain

   

0.001 (<0.001)

 No pain

660 (63.5 %)

11 (34.4 %)

671 (62.7 %)

 

 Short duration

143 (13.8 %)

5 (15.6 %)

148 (13.8 %)

 

 Long duration

236 (22.7 %)

16 (50.0 %)

252 (23.5 %)

 

Pain intensity last week

   

0.007 (0.001)

 No pain

670 (64.7 %)

11 (35.5 %)

681 (63.8 %)

 

 Mild pain

192 (18.5 %)

9 (29.0 %)

201 (18.8 %)

 

 Moderate pain

118 (11.4 %)

8 (25.8 %)

126 (11.8 %)

 

 Severe pain

56 (5.4 %)

3 (9.7 %)

59 (5.5 %)

 

Pain intensity last 3 months

   

0.016 (0.001)

 No pain

682 (65.8 %)

13 (41.9 %)

695 (65.1 %)

 

 Mild pain

169 (16.3 %)

6 (19.4 %)

175 (16.4 %)

 

 Moderate pain

105 (10.1 %)

6 (19.4 %)

111 (10.4 %)

 

 Severe pain

80 (7.7 %)

6 (19.4 %)

86 (8.1 %)

 

Pain frequency last 3 months

   

0.006 (0.001)

 No pain

683 (65.9 %)

12 (38.7 %)

695 (65.1 %)

 

 Low

164 (15.8 %)

6 (19.4 %)

170 (15.9 %)

 

 Medium

84 (8.1 %)

6 (19.4 %)

90 (8.4 %)

 

 High

105 (10.1 %)

7 (22.6 %)

112 (10.5 %)

 

Number of pain sites

   

0.005 (0.001)

 No pain

660 (63.5 %)

11 (34.4 %)

671 (62.6 %)

 

 One

165 (15.9 %)

8 (25.0 %)

173 (16.1 %)

 

 Two

106 (10.2 %)

5 (15.6 %)

111 (10.4 %)

 

 Three or more

109 (10.5 %)

8 (25.0 %)

117 (10.9 %)

 

aMean values with standard deviation provided for continuous data; numbers with percentages are provided for categorical data. Pearson’s Chi square test and Chi square test for trend were used for comparisons of categorical data, independent samples t-tests for continuous data. Significant p-values are highlighted in bold. DASS-21 Depression-, Anxiety and Stress Scale, RLS restless legs syndrome, SD standard deviation

RLS prevalence

All four RLS-diagnosis criteria were met in 32 participants, giving a prevalence of 3.0 % (Table 2). The prevalence in females was almost twice as high as in males (3.8 vs 2.0 %), but this difference did not reach statistical significance (p = 0.096). The 95 % confidence interval estimate for difference in prevalence between males and females was 0 to 3.7 %. Subjects with RLS reported significantly poorer sleep quality compared with the reference group (p for trend = 0.023; Table 1). Moreover, the RLS-diagnosis group had significantly higher scores on all MSK pain variables and higher DASS-21 scores. No significant differences in smoking status and BMI were found.
Table 2

Prevalence of restless legs related symptoms within the total cohort (n = 1072)

RLS symptoms assessed with 4 criteria

Female

Male

Total

Urge to move the legs (at least 5 times/month)

158 (27.1 %)

142 (29.0 %)

300 (28.0 %)

Accompanied by dysaesthesia

57 (9.8 %)

31 (6.3 %)

88 (8.2 %)

Relieved by movement

95 (16.3 %)

70 (14.3 %)

165 (15.4 %)

Worsening at evening or night

104 (17.9 %)

51 (10.4 %)

155 (14.5 %)

RLS diagnosis (All 4 RLS criteria fulfilled)

22 (3.8 %)

10 (2.0 %)

32 (3.0 %)

RLS: Restless legs syndrome

   

Prevalence of musculoskeletal pain

Current MSK pain was reported by 37.4 % of the study sample (Table 1). A short duration of pain (less than three months) was reported by 13.8 %, whereas pain of long duration (three months or more) was found in 23.5 %. The mean pain intensity score during the last three months for those reporting pain was 4.6 (SD 2.1), and severe pain was reported by 8.1 % of the subjects. The most commonly reported pain areas were the lower back (20.1 %) and neck (15.0 %) area (Table 3).
Table 3

Prevalences of musculoskeletal pain per region and odds ratios for RLS diagnosisa

 

Reference group (n = 1040)

RLS-group (n = 32)

Total (n = 1072)

Odds ratios

p-value

Lower back

204 (19.6 %)

11 (34.4 %)

215 (20.1 %)

2.1 (1.0–4.3)

0.031

Neck

151 (14.5 %)

10 (31.3 %)

161 (15.0 %)

2.7 (1.1–6.3)

0.024

Upper back

93 (8.9 %)

6 (18.8 %)

99 (9.2 %)

2.4 (0.9–5.8)

0.066

Leg

82 (7.9 %)

8 (25.0 %)

90 (8.4 %)

3.9 (1.5–10.0)

0.005

Shoulder/arm

17 (1.6 %)

3 (9.4 %)

20 (1.9 %)

6.2 (1.9–20.8)

0.003

Other

62 (6.0 %)

1 (3.1 %)

63 (5.9 %)

0.5 (0.2–1.3)

0.169

aOdds ratios are given with bias-corrected bootstrapped 95 % confidence intervals. P-values of significant associations are highlighted in bold. RLS restless legs syndrome

Associations between MSK pain and RLS

Univariable analysis per MSK pain region showed that all pain regions, except for the upper back region and the ‘other’ region, were significantly associated with RLS (Table 3). The strongest associations were with pain reported in the shoulder/arm region (odds ratio 6.2, 95 % confidence interval 1.9–20.8) and pain reported in the leg (3.9, 1.5–10.0). In multivariable logistic regression analysis, BMI and smoking status were tested for confounding, but were not added to the regression models, as they were not significantly associated with both MS pain and RLS. Interaction between sex and MSK pain variables was tested but did not prove to be significant. Final regression models were adjusted for sex, DASS-21 scores and sleep quality and significant associations between several MSK pain characteristics and RLS were found (Table 4). RLS was associated with reporting long duration of pain (3.6, 1.4–9.2), and medium (3.9, 1.2–12.7) pain frequency in the last three months. In addition, RLS tended to associate with mild (3.0, 1.0–8.2) and moderate pain intensity (3.6, 1.1–12.3) during the last week. Lastly, RLS was associated with both reporting one pain site (3.1, 1.1–8.5) and three or more pain sites (4.9, 1.6–14.6).
Table 4

Odds ratios for RLS diagnosis with musculoskeletal pain variables as the input variablea

 

Unadjusted

Adjusted for sex

Adjusted for sex and DASS-21

Adjusted for sex, DASS-21 and sleep quality

Any body pain

n = 1072

n = 1072

n = 1047

n = 1030

 No

REF

REF

REF

REF

 Yes

3.3 (1.5–7.2)**

3.1 (1.5–6.7)**

2.8 (1.2–6.6)*

3.0 (1.3–7.1)*

Pain duration

n = 1071

n = 1071

n = 1046

n = 1029

 No pain

REF

REF

REF

REF

 Short duration

2.1 (0.6–7.4)

2.0 (0.6–7.1)

1.9 (0.6–6.4)

2.2 (0.6–7.7)

 Long duration

4.1 (1.8–9.3)**

3.8 (1.7–8.6)**

3.3 (1.4–7.5)**

3.6 (1.4–9.2)**

Pain intensity last week

n = 1067

n = 1067

n = 1044

n = 1027

 No pain

REF

REF

REF

REF

 Mild pain

2.9 (1.1–7.4)*

2.7 (1.1–7.0)*

2.7 (1.0–7.0)*

3.0 (1.0–8.2)*

 Moderate pain

4.1 (1.6–10.7)**

4.0 (1.6–10.2)**

3.3 (1.1–10.1)*

3.6 (1.1–12.3)*

 Severe pain

3.3 (0.9–12.1)

2.8 (0.8–10.4)

2.7 (0.8–9.4)

2.9 (0.8–10.0)

Pain intensity last 3 months

n = 1067

n = 1067

n = 1044

n = 1027

 No pain

REF

REF

REF

REF

 Mild pain

1.9 (0.6–5.6)

1.8 (0.6–5.4)

1.6 (0.6–5.0)

1.8 (0.6–5.4)

 Moderate pain

3.0 (0.9–9.9)

2.9 (0.9–9.3)

2.5 (0.9–7.4)

2.8 (0.8–10.0)

 Severe pain

3.9 (1.3–11.5)*

3.5 (1.2–10.3)*

3.0 (1.0–8.6)*

3.2 (0.9–10.6)

Pain frequency last 3 months

n = 1067

n = 1067

n = 1044

n = 1027

 No pain

REF

REF

REF

REF

 Low

2.1 (0.7–5.8)

2.0 (0.7–5.7)

1.9 (0.7–5.4)

2.1 (0.7–6.5)

 Moderate

4.1 (1.3–13.1)*

3.8 (1.2–12.2)*

3.5 (1.2–10.4)*

3.9 (1.2–12.7)*

 High

3.8 (1.4–10.4)**

3.4 (1.3–9.4)*

2.9 (1.0–8.8)

3.2 (1.0–10.4)

Number of pain sites

n = 1072

n = 1072

n = 1047

n = 1030

 No pain

REF

REF

REF

REF

 One site

2.9 (1.2–7.3)*

2.8 (1.1–7.1)*

2.8 (0.9–8.4)

3.1 (1.1–8.5)*

 Two sites

3.1 (0.9–10.0)

2.9 (0.9–9.1)

2.4 (0.7–7.8)

2.6 (0.8–8.9)

 Three or more

6.1 (2.0–18.5)**

5.5 (1.8–16.9)**

4.5 (1.4–15.3)*

4.9 (1.6–14.6)**

aOdds ratios are given with 95 % Confidence Intervals. The DASS-21 total score showed strong correlation with the three subscales and was used as a continuous covariate in the multivariable logistic regression analysis. * = p <0.05; ** = p <0.01. RLS restless legs syndrome, DASS-21 Depression-, Anxiety and Stress Scale

Discussion

This study demonstrated a significant association between MSK pain and RLS in young adults from a community cohort. Specifically, strong associations were found for long duration of pain and a greater number of pain sites. These associations remained present after adjusting for sex, psychological distress and self-reported sleep quality.

MSK pain and RLS

The current study is, to our knowledge, the first on the association between MSK pain and RLS in young adults. Most previous studies on this topic have focused on female populations and have often used chronic pain or rehabilitation clinics to recruit their participants [15, 16, 26]. In addition, these studies have focused on fibromyalgia, a more specific subset of chronic widespread pain. Our study includes both sexes, is among the first to sample from a general population and involves a more general measure of MSK pain. The questionnaires used covered multiple aspects of MSK pain and therefore provide a thorough assessment of different pain aspects. Lastly, adjustment was made for important potential confounding factors.

The results of this study are consistent with the findings by Stehlik et al. [17] in their study of Swedish middle-aged women, where long duration of pain and a high number of pain sites was strongly associated with RLS. A study in Australian twin families by Champion [27] also showed significant associations between two or more regional pain sites and RLS. These findings are, together with the results from our study, an extension to the earlier reported associations between RLS and fibromyalgia [15, 16].

Psychological distress and sleep quality are important factors in the relationship between pain and RLS. In particular, pain in multiple body areas is often related to depressive symptoms and other mental health problems including anxiety disorders [2830]. Depression is also linked to altered pain thresholds and a predictor for future pain [31]. Several studies have established strong associations between RLS and psychiatric comorbidity including major depressive disorder and anxiety disorders [8, 32, 33]. Sleep disruption is a prominent complaint in RLS and is also considered a risk factor for both panic disorder and depression [10, 34]. High prevalence of sleep disruption has been reported in chronic MSK pain [35] and experimental studies in animals [36] and humans [37] have shown that sleep disruption can induce musculoskeletal sensitization and lower pain thresholds. In summary, the relationship between pain and sleep can be considered bidirectional [38], with an important mediating role for emotional states. In our study, the associations between RLS and MSK pain remained present even after adjusting for psychological distress and sleep quality. This underlines the probability of other shared mechanistic pathways in these conditions, which will be discussed based on the current literature.

The influence of heritable factors in RLS is supported by family studies [39, 40] and genome-wide association studies (GWAS) have identified at least six genetic loci in association with RLS [41]. Observational studies suggest, at least in part, a genetic basis in chronic pain syndromes including chronic widespread pain and fibromyalgia and pain reporting behavior at multiple MSK pain sites as well [4244]. In GWAS a number of genes, involved in adrenergic and serotonergic pathways, have been consistently linked to MSK pain [45, 46]. Even though specific shared genes between MSK pain and RLS have not been identified thus far, it is evident that with genetic susceptibility being such an important component in the occurrence of both RLS and MSK pain, shared genes (pleiotropy) might be an important factor in the co-existence of these conditions.

The considerable role of dopamine dynamics in RLS is illustrated by the efficacy of dopamine agonists in RLS treatment [47] and supported by neuropathological studies [48]. Combined with studies establishing the link between brain iron deficiency and RLS [49, 50], it is hypothesized that RLS might be seen primarily as an iron insufficiency disorder, with resulting dopaminergic abnormalities [18]. Altered dopaminergic responses have been found in brain imaging studies of fibromyalgia patients as well [51] and reductions of dopamine metabolism have been found in patients with depression [52]. Trials with dopamine agonist pramipexole, frequently used in RLS treatment, have had promising results in both fibromyalgia patients [53] and patients with depression [54]. It is likely that alterations in dopamine metabolism are an important factor to explain the associations between RLS, MSK pain and depression.

In our study, RLS was not only strongly associated with leg pain, significant associations were also found for shoulder and arm pain, neck pain and lower back pain. An explanation for this finding might be found in the concept of central sensitization of nociception. Central sensitization is characterized by an increase in excitability and synaptic efficacy of neurons in central nociceptive pathways, manifests as pain hypersensitivity, and has been implied as a causal or maintaining factor for pain in a wide range of pathologies including osteoarthritis, temporomandibular disorders, fibromyalgia, tension-type headache, irritable bowel syndrome and low back pain [55, 56]. Recently, there has been evidence reported for central sensitization in RLS. In an interesting study by Stiasny-Kolster et al. [57] a three- to fourfold increase in sensitivity for pinprick stimuli in untreated RLS-patients was found, along with a reduced tactile sensitivity and paradoxical heat sensation. Treatment with L-Dopa reversed or reduced these symptoms, prompting the authors to conclude that sensory symptoms in RLS are possibly explained by impaired dopaminergic control on spinal nociceptive neurons and central dis-inhibition. The presence of central sensitization or dis-inhibition in RLS sufferers might account for the high comorbidity of multiple site MSK pain.

In summary, we think genetic factors might account for a large part of dysregulation in dopaminergic metabolism, involved in the onset of RLS and MSK pain, but also depression. In turn, the sleep disruption caused by RLS results in lowering of pain thresholds and an increase of depressive symptoms, both related to an increased risk of future pain. The intimate relationship between these conditions requires the clinician to have special attention for comorbid occurrence.

Limitations

Although we acknowledge the modest response rates (51.4 %) in our study, one needs to bear in mind that the data used for this study were part of an extensive cohort study, involving questionnaires, physical assessments and for most participants also an overnight sleep study [20]. In our experience, young adults were a particularly challenging group to recruit for this study. Further, as the sample remains representative of the broader Western Australian population of similarly aged young adults, we are confident the associations found are likely to be true for the population. The RLS-categorization was based on self-reported measures, which might increase prevalence estimates compared to a clinician-based diagnosis. We used the IRLSSG [1] screening questions in conjunction with frequency of experiencing symptoms at least 5 times per month as conservative criteria for diagnosis of RLS. Alternate questionnaires for RLS diagnosis, such as the Cambridge-Hopkins questionnaire [58], have been suggested as an alternative to the 4 screening questions based on their ability to better differentiate disorders that could mimic RLS [59]. However in the large epidemiological Raine Study where participants provided extensive questionnaire datasets, the 4 screening questions were deemed sufficient to make the RLS diagnosis while minimising participant burden. Also the likelihood of common RLS mimics being present in the younger cohort, including conditions as neuropathy, radiculopathy and arthritic pains [59], was deemed low. Despite these potential limitations we still found strong, consistent associations. Even though we did not find a statistically significant difference, the RLS prevalence was almost twice as high in females as in males in our samples, consistent with previous reports [2, 3, 5]. The 95 % confidence interval for the difference in RLS-prevalence between males and females from our sample was 0 to 3.7 %, in keeping with the known female predominance. Also, the overall prevalence of RLS found in this study is congruent with other large epidemiological surveys [26] supporting the representativeness of the Raine cohort and the conservative criteria used for RLS diagnosis. Most known confounders, based on previous literature, were controlled for, but we cannot be certain that all potential confounders were measured. Because of the relatively small group that satisfied the RLS criteria, confidence intervals in our risk estimations were wide. Larger studies are needed if a more accurate estimation of RLS-prevalence risk in MSK pain is sought. Lastly, while we found strong associations between RLS and MSK pain, the cross-sectional nature of our study limits the possibility to make statements on causality. Future studies, particularly prospective studies, are needed to effectively address this causality question.

Clinical implications

We have found strong independent associations between MSK pain and RLS in young adults. This finding indicates that there may be an opportunity for early intervention and prompt clinicians to screen for RLS in young adults with MSK pain, and vice versa. Each condition should be regarded in the light of the other. Consideration of the comorbidity of MSK pain and RLS, as well as addressing psychological symptoms such as depression, may be particularly important in determining management needs. In subjects showing an overlap between RLS, multiple pains and depressive symptoms, dopamine agonists such as pramipexole might prove especially effective, as already has been shown for these conditions separately [47, 53, 54]. While pharmalogical treatment is the frontline approach for RLS [47], in RLS sufferers with comorbid MSK pain non-pharmalogical strategies such as exercise programs [60] might be a useful adjunct. Intervention studies are needed to further investigate treatment options in this particular category of patients.

Conclusions

In conclusion, our study demonstrates associations of RLS with long duration of MSK pain and a high number of pain sites in a community-based setting in young adults. The underlying shared mechanisms might be related to sleep disruption, psychological distress, genetic factors, dopaminergic dysfunction or central sensitization. Additional research is needed to clarify the mechanisms behind these associations and to improve treatment options in patients suffering simultaneously from these two conditions.

Abbreviations

BMI: 

Body mass index

DASS-21: 

Depression-, Anxiety and Stress Scale

IRLSSG: 

International restless legs syndrome study group

MSK: 

Musculoskeletal

RLS: 

Restless legs syndrome

SPSS: 

Statistical package for the social sciences

Declarations

Acknowledgements

The authors thank the Raine study participants and their families, and the Raine Study Team for cohort coordination and data collection. The Raine Study has been supported by the National Health and Medical Research Council over the last 20 years with additional funding for core management provided by The University of Western Australia (UWA), Raine Medical Research Foundation, Telethon Kids Institute, UWA Faculty of Medicine, Dentistry and Health Sciences, Women and Infants Research Foundation, Curtin University and Edith Cowan University. The year 22 follow-up was made possible by the Raine Study Team and Sleep Study technicians, The Centre for Sleep Science UWA, Safework Australia and supported by the National Health and Medical Research Council (ID 1021858, ID 1027449 and ID 1044840 and ID 1022134). SH received research and exchange grants from the Marco Polo Fund, JK de Cock Foundation and the University of Groningen. DB, LS and PE were supported by research fellowships from the National Health and Medical Research Council of Australia. SH would like to thank Professor J. van der Palen (University of Twente, Enschede, the Netherlands) for his contributions to this project.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Faculty of Medical Sciences, University of Groningen
(2)
Medical Research Center Oulu, Oulu University Hospital and University of Oulu
(3)
School of Physiotherapy and Exercise Science, Curtin University
(4)
Centre for Sleep Science, School of Anatomy, Physiology & Human Biology, University of Western Australia
(5)
Department of Anaesthesia and Pain Medicine, Sydney Children’s Hospital
(6)
University of New South Wales, UNSW
(7)

References

  1. Allen RP, Picchietti D, Hening WA, Trenkwalder C, Walters AS, Montplaisi J, et al. Restless legs syndrome: diagnostic criteria, special considerations, and epidemiology. A report from the restless legs syndrome diagnosis and epidemiology workshop at the National Institutes of Health. Sleep Med. 2003;4(2):101–19.PubMedView ArticleGoogle Scholar
  2. Allen RP, Walters AS, Montplaisir J, Hening W, Myers A, Bell TJ, et al. Restless legs syndrome prevalence and impact: REST general population study. Arch Intern Med. 2005;165(11):1286–92.PubMedView ArticleGoogle Scholar
  3. Allen RP, Stillman P, Myers AJ. Physician-diagnosed restless legs syndrome in a large sample of primary medical care patients in western Europe: prevalence and characteristics. Sleep Med. 2010;11(1):31–7.PubMedView ArticleGoogle Scholar
  4. Yilmaz K, Kilincaslan A, Aydin N, Kor D. Prevalence and correlates of restless legs syndrome in adolescents. Dev Med Child Neurol. 2011;53(1):40–7.PubMedView ArticleGoogle Scholar
  5. Turkdogan D, Bekiroglu N, Zaimoglu S. A prevalence study of restless legs syndrome in Turkish children and adolescents. Sleep Med. 2011;12(4):315–21.PubMedView ArticleGoogle Scholar
  6. Picchietti D, Allen RP, Walters AS, Davidson JE, Myers A, Ferini-Strambi L. Restless legs syndrome: prevalence and impact in children and adolescents--the Peds REST study. Pediatrics. 2007;120(2):253–66.PubMedView ArticleGoogle Scholar
  7. Pearson VE, Allen RP, Dean T, Gamaldo CE, Lesage SR, Earley CJ. Cognitive deficits associated with restless legs syndrome (RLS). Sleep Med. 2006;7(1):25–30.PubMedView ArticleGoogle Scholar
  8. Lee HB, Hening WA, Allen RP, Kalaydjian AE, Earley CJ, Eaton WW, et al. Restless legs syndrome is associated with DSM-IV major depressive disorder and panic disorder in the community. J Neuropsychiatry Clin Neurosci. 2008;20(1):101–5.PubMedView ArticleGoogle Scholar
  9. Pullen SJ, Wall CA, Angstman ER, Munitz GE, Kotagal S. Psychiatric comorbidity in children and adolescents with restless legs syndrome: a retrospective study. J Clin Sleep Med. 2011;7(6):587–96.PubMedPubMed CentralGoogle Scholar
  10. Winkelmann J, Prager M, Lieb R, Pfister H, Spiegel B, Wittchen HU, et al. “Anxietas tibiarum”. Depression and anxiety disorders in patients with restless legs syndrome. J Neurol. 2005;252(1):67–71.PubMedView ArticleGoogle Scholar
  11. Winter AC, Berger K, Glynn RJ, Buring JE, Gaziano JM, Schurks M, et al. Vascular risk factors, cardiovascular disease, and restless legs syndrome in men. Am J Med. 2013;126(3):228–35. 235.e1–2.PubMedPubMed CentralView ArticleGoogle Scholar
  12. Winter AC, Schurks M, Glynn RJ, Buring JE, Gaziano JM, Berger K, et al. Vascular risk factors, cardiovascular disease, and restless legs syndrome in women. Am J Med. 2013;126(3):220–7. 227.e1–2.PubMedPubMed CentralView ArticleGoogle Scholar
  13. Winkelman JW, Shahar E, Sharief I, Gottlieb DJ. Association of restless legs syndrome and cardiovascular disease in the Sleep Heart Health Study. Neurology. 2008;70(1):35–42.PubMedView ArticleGoogle Scholar
  14. Schurks M, Winter A, Berger K, Kurth T. Migraine and restless legs syndrome: a systematic review. Cephalalgia. 2014;34(10):777–94.PubMedView ArticleGoogle Scholar
  15. Stehlik R, Arvidsson L, Ulfberg J. Restless legs syndrome is common among female patients with fibromyalgia. Eur Neurol. 2009;61(2):107–11.PubMedView ArticleGoogle Scholar
  16. Viola-Saltzman M, Watson NF, Bogart A, Goldberg J, Buchwald D. High prevalence of restless legs syndrome among patients with fibromyalgia: a controlled cross-sectional study. J Clin Sleep Med. 2010;6(5):423–7.PubMedPubMed CentralGoogle Scholar
  17. Stehlik R, Ulfberg J, Hedner J, Grote L. High prevalence of restless legs syndrome among women with multi-site pain: a population-based study in Dalarna, Sweden. Eur J Pain. 2014;3.Google Scholar
  18. Dauvilliers Y, Winkelmann J. Restless legs syndrome: update on pathogenesis. Curr Opin Pulm Med. 2013;19(6):594–600.PubMedView ArticleGoogle Scholar
  19. Beales DJ, Smith AJ, O’Sullivan PB, Straker LM. Low back pain and comorbidity clusters at 17 years of age: a cross-sectional examination of health-related quality of life and specific low back pain impacts. J Adolesc Health. 2012;50(5):509–16.PubMedView ArticleGoogle Scholar
  20. Straker LM, Hall GL, Mountain J, Howie EK, White E, McArdle N, et al. Rationale, design and methods for the 22 year follow-up of the Western Australian Pregnancy Cohort (Raine) Study. BMC Public Health. 2015;15:663. 015-1944-6.PubMedPubMed CentralView ArticleGoogle Scholar
  21. Linton SJ, Hallden K. Can we screen for problematic back pain? A screening questionnaire for predicting outcome in acute and subacute back pain. Clin J Pain. 1998;14(3):209–15.PubMedView ArticleGoogle Scholar
  22. Li Y, Munger KL, Batool-Anwar S, De Vito K, Ascherio A, Gao X. Association of multiple sclerosis with restless legs syndrome and other sleep disorders in women. Neurology. 2012;78(19):1500–6.PubMedPubMed CentralView ArticleGoogle Scholar
  23. Benediktsdottir B, Janson C, Lindberg E, Arnardottir ES, Olafsson I, Cook E, et al. Prevalence of restless legs syndrome among adults in Iceland and Sweden: lung function, comorbidity, ferritin, biomarkers and quality of life. Sleep Med. 2010;11(10):1043–8.PubMedView ArticleGoogle Scholar
  24. Buysse DJ, Reynolds 3rd CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.PubMedView ArticleGoogle Scholar
  25. Lovibond PF, Lovibond SH. Manual for the depression anxiety stress scales. 2nd ed. Sydney: Psychology Foundation; 1995.Google Scholar
  26. Civelek GM, Ciftkaya PO, Karatas M. Evaluation of restless legs syndrome in fibromyalgia syndrome: an analysis of quality of sleep and life. J Back Musculoskelet Rehabil. 2014;27(4):537–44.PubMedView ArticleGoogle Scholar
  27. Champion D. The common pain disorders of childhood without disease: commonalities and adult implications. Leura: Abstracts of the Faculty of Pain Medicine Conference; Australian and New Zealand Anaesthesists; 2014 (dchamp@bigpond.net.au).Google Scholar
  28. Ligthart L, Visscher CM, van Houtem CM, Geels LM, Vink JM, de Jongh A, et al. Comorbidity among multiple pain symptoms and anxious depression in a Dutch population sample. J Pain. 2014;15(9):945–55.PubMedView ArticleGoogle Scholar
  29. Gureje O. Comorbidity of pain and anxiety disorders. Curr Psychiatry Rep. 2008;10(4):318–22.PubMedView ArticleGoogle Scholar
  30. Kato K, Sullivan PF, Evengard B, Pedersen NL. Chronic widespread pain and its comorbidities: a population-based study. Arch Intern Med. 2006;166(15):1649–54.PubMedView ArticleGoogle Scholar
  31. Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007;133(4):581–624.PubMedView ArticleGoogle Scholar
  32. Li Y, Mirzaei F, O'Reilly EJ, Winkelman J, Malhotra A, Okereke OI, et al. Prospective study of restless legs syndrome and risk of depression in women. Am J Epidemiol. 2012;176(4):279-288.Google Scholar
  33. Cho SJ, Hong JP, Hahm BJ, Jeon HJ, Chang SM, Cho MJ, et al. Restless legs syndrome in a community sample of Korean adults: prevalence, impact on quality of life, and association with DSM-IV psychiatric disorders. Sleep. 2009;32(8):1069–76.PubMedPubMed CentralGoogle Scholar
  34. Riemann D, Voderholzer U. Primary insomnia: a risk factor to develop depression? J Affect Disord. 2003;76(1–3):255–9.PubMedView ArticleGoogle Scholar
  35. Bjornsdottir SV, Jonsson SH, Valdimarsdottir UA. Mental health indicators and quality of life among individuals with musculoskeletal chronic pain: a nationwide study in Iceland. Scand J Rheumatol. 2014;43(5):419–23.PubMedView ArticleGoogle Scholar
  36. Sutton BC, Opp MR. Sleep fragmentation exacerbates mechanical hypersensitivity and alters subsequent sleep-wake behavior in a mouse model of musculoskeletal sensitization. Sleep. 2014;37(3):515–24.PubMedPubMed CentralGoogle Scholar
  37. Schuh-Hofer S, Wodarski R, Pfau DB, Caspani O, Magerl W, Kennedy JD, et al. One night of total sleep deprivation promotes a state of generalized hyperalgesia: a surrogate pain model to study the relationship of insomnia and pain. Pain. 2013;154(9):1613–21.PubMedView ArticleGoogle Scholar
  38. Finan PH, Goodin BR, Smith MT. The association of sleep and pain: an update and a path forward. J Pain. 2013;14(12):1539–52.PubMedPubMed CentralView ArticleGoogle Scholar
  39. Montplaisir J, Boucher S, Poirier G, Lavigne G, Lapierre O, Lesperance P. Clinical, polysomnographic, and genetic characteristics of restless legs syndrome: a study of 133 patients diagnosed with new standard criteria. Mov Disord. 1997;12(1):61–5.PubMedView ArticleGoogle Scholar
  40. Ondo WG, Vuong KD, Wang Q. Restless legs syndrome in monozygotic twins: clinical correlates. Neurology. 2000;55(9):1404–6.PubMedView ArticleGoogle Scholar
  41. Freeman AA, Rye DB. The molecular basis of restless legs syndrome. Curr Opin Neurobiol. 2013;23(5):895–900.PubMedView ArticleGoogle Scholar
  42. Buskila D, Sarzi-Puttini P. Biology and therapy of fibromyalgia. Genetic aspects of fibromyalgia syndrome. Arthritis Res Ther. 2006;8(5):218.PubMedPubMed CentralView ArticleGoogle Scholar
  43. Vehof J, Zavos HM, Lachance G, Hammond CJ, Williams FM. Shared genetic factors underlie chronic pain syndromes. Pain. 2014;155(8):1562–8.PubMedView ArticleGoogle Scholar
  44. Williams FM, Spector TD, MacGregor AJ. Pain reporting at different body sites is explained by a single underlying genetic factor. Rheumatology (Oxford). 2010;49(9):1753–5.View ArticleGoogle Scholar
  45. Diatchenko L, Fillingim RB, Smith SB, Maixner W. The phenotypic and genetic signatures of common musculoskeletal pain conditions. Nat Rev Rheumatol. 2013;9(6):340–50.PubMedPubMed CentralView ArticleGoogle Scholar
  46. Skouen JS, Smith AJ, Warrington NM, O’Sullivan PB, McKenzie L, Pennell CE, et al. Genetic variation in the beta-2 adrenergic receptor is associated with chronic musculoskeletal complaints in adolescents. Eur J Pain. 2012;16(9):1232–42.PubMedView ArticleGoogle Scholar
  47. Hornyak M, Scholz H, Kohnen R, Bengel J, Kassubek J, Trenkwalder C. What treatment works best for restless legs syndrome? Meta-analyses of dopaminergic and non-dopaminergic medications. Sleep Med Rev. 2014;18(2):153–64.PubMedView ArticleGoogle Scholar
  48. Connor JR, Wang XS, Allen RP, Beard JL, Wiesinger JA, Felt BT, et al. Altered dopaminergic profile in the putamen and substantia nigra in restless leg syndrome. Brain. 2009;132(Pt 9):2403–12.PubMedPubMed CentralView ArticleGoogle Scholar
  49. Earley CJ, Connor JR, Beard JL, Malecki EA, Epstein DK, Allen RP. Abnormalities in CSF concentrations of ferritin and transferrin in restless legs syndrome. Neurology. 2000;54(8):1698–700.PubMedView ArticleGoogle Scholar
  50. Allen RP, Barker PB, Wehrl F, Song HK, Earley CJ. MRI measurement of brain iron in patients with restless legs syndrome. Neurology. 2001;56(2):263–5.PubMedView ArticleGoogle Scholar
  51. Wood PB, Patterson 2nd JC, Sunderland JJ, Tainter KH, Glabus MF, Lilien DL. Reduced presynaptic dopamine activity in fibromyalgia syndrome demonstrated with positron emission tomography: a pilot study. J Pain. 2007;8(1):51–8.PubMedView ArticleGoogle Scholar
  52. Roy A, Karoum F, Pollack S. Marked reduction in indexes of dopamine metabolism among patients with depression who attempt suicide. Arch Gen Psychiatry. 1992;49(6):447–50.PubMedView ArticleGoogle Scholar
  53. Holman AJ, Myers RR. A randomized, double-blind, placebo-controlled trial of pramipexole, a dopamine agonist, in patients with fibromyalgia receiving concomitant medications. Arthritis Rheum. 2005;52(8):2495–505.PubMedView ArticleGoogle Scholar
  54. Aiken CB. Pramipexole in psychiatry: a systematic review of the literature. J Clin Psychiatry. 2007;68(8):1230–6.PubMedView ArticleGoogle Scholar
  55. O’Sullivan P, Waller R, Wright A, Gardner J, Johnston R, Payne C, et al. Sensory characteristics of chronic non-specific low back pain: a subgroup investigation. Man Ther. 2014;19(4):311–8.PubMedView ArticleGoogle Scholar
  56. Woolf CJ. Central sensitization: implications for the diagnosis and treatment of pain. Pain. 2011;152(3 Suppl):S2–15.PubMedView ArticleGoogle Scholar
  57. Stiasny-Kolster K, Pfau DB, Oertel WH, Treede RD, Magerl W. Hyperalgesia and functional sensory loss in restless legs syndrome. Pain. 2013;154(8):1457–63.PubMedView ArticleGoogle Scholar
  58. Allen RP, Burchell BJ, MacDonald B, Hening WA, Earley CJ. Validation of the self-completed Cambridge-Hopkins questionnaire (CH-RLSq) for ascertainment of restless legs syndrome (RLS) in a population survey. Sleep Med. 2009;10(10):1097–100.PubMedView ArticleGoogle Scholar
  59. Hening WA, Allen RP, Washburn M, Lesage SR, Earley CJ. The four diagnostic criteria for Restless Legs Syndrome are unable to exclude confounding conditions (“mimics”). Sleep Med. 2009;10(9):976–81.PubMedPubMed CentralView ArticleGoogle Scholar
  60. Aukerman MM, Aukerman D, Bayard M, Tudiver F, Thorp L, Bailey B. Exercise and restless legs syndrome: a randomized controlled trial. J Am Board Fam Med. 2006;19(5):487–93.PubMedView ArticleGoogle Scholar

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© Hoogwout et al. 2015

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