Low Back and Lower Limb Muscle Performance in Male and Female Recreational



Runners with Chronic Low Back Pain



Congcong Cai, MSc1,2 and Pui W. Kong, PhD1

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4  5  6 

1



Nanyang Technological University, 1 Nanyang Walk, Singapore 637616.



2



378 Alexandra Road, Singapore 159964.

Physical Education and Sports Science Academic Group, National Institute of Education,

Physiotherapy, Rehabilitation Department, Alexandra Hospital-Jurong Health Service,

10  11 

Corresponding Author:

12 

Pui W. Kong

13 

Physical Education and Sports Science Academic Group

14 

National Institute of Education

15 

Nanyang Technological University

16 

1 Nanyang Walk

17 

Singapore 637616

18 

Tel: (65) 6219 6213

19 

Fax: (65) 6896 9260

20 

Email: [email protected]

21  22 

This study was funded by the Internal Grant of Alexandra Hospital. The funding source

23 

did not play a role in the investigation.

1   

24  25 

Word Count = 246 (abstract), 3098 (text)

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Financial Disclosure and Conflict of Interest: We affirm that we have no financial

28 

affiliation (including research funding) or involvement with any commercial organization

29 

that has a direct financial interest in any matter included in this manuscript, except as

30 

disclosed in an attachment and cited in the manuscript. There is no any other conflict of

31 

interest.

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Abstract

34 

Study Design: Controlled Laboratory Study; Cross-sectional.

35 

Objective: To compare lumbar extensor muscle fatigability, lumbar muscle activation,

36 

and lower limb strength between male and female runners with chronic low back pain

37 

(LBP) and healthy runners.

38 

Background: Little is known about muscle performance in runners with chronic LBP.

39 

Methods: 18 recreational runners with chronic LBP (9 males and 9 females; mean age =

40 

27.8 years) and 18 healthy recreational runners (9 males and 9 females; mean age = 24.6

41 

years) were recruited. The median frequency slopes for bilateral iliocostalis and

42 

longissimus were calculated from electromyographic signals captured during a 2-minute

43 

Sorenson Test. The thickness changes of the transversus abdominis and lumbar

44 

multifidus between resting and contraction were measured using an ultrasound scanner.

45 

Peak concentric torque of the bilateral hip extensors,hip abductors, and knee extensors

46 

were measured using an isokinetic dynamometer at 60˚/s.  The average values for both

47 

sides were used for statistics analysis.

48 

Results: When averaged across genders, peak knee extensor torque was 12.2% lower in

49 

the LBP group compared to the healthy group [mean difference (95% CI) = 0.29 (0.06-

50 

0.53) Nm/kg, p = .016]. Male runners with chronic LBP exhibited smaller lumbar

51 

multifidus thickness changes compared to healthy male runners [mean difference (95%

52 

CI) = 0.13 (0.01-0.25) cm, p = .033]. No other group differences were observed.

53 

Conclusion: Runners with chronic LBP exhibited diminished knee extensor strength

54 

compared to healthy runners. Male runners with chronic LBP demonstrated additional

55 

deficits in lumbar multifidus activation.

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Key Words: Rehabilitative Ultrasound Image; electromyography; isokinetic strength;

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muscle activation.

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Word Count (Abstract) = 246

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Low Back Pain (LBP) is a common problem in runners worldwide. In the southern

62 

United States, the prevalence of LBP in recreational runners has been reported to be as

63 

high as 13.6%,50 and low back injuries have been reported to account for about 7% of all

64 

running injuries.11 Running injuries of the lumbar spine and pelvis can be debilitating,

65 

requiring prolonged periods of rehabilitation.9, 13, 26

66  67 

In the general population, it has been reported that person with LBP exhibit muscle

68 

performance deficits. Deficits in lumbar extensor muscle strength and endurance12, 19, 20, 28,

69 

37, 43, 45, 48

70 

abdominis18 have been reported. Persons with chronic LBP also have been characterised

71 

by inferior gluteus maximus endurance,23 diminished flexibility of the knee and hip

72 

flexors,4 and inhibition of knee extensor maximal voluntary contraction.47 These deficits

73 

in lower extremity muscle performance have been proposed to further affect LBP.35

74 

Although the relationship between lower extremity muscle performance deficits and LBP

75 

has not been specifically studied in runners, the biomechanical demands during running

76 

suggest that such deficits, if they exist, may be more detrimental than in non-runners.

smaller lumbar multifidus size16 and delayed onset of the transversus

77  78 

Running is a very dynamic activity, with the lower limbs and the lumbar spine playing an

79 

important role.38,41 Biomechanically, the total axial load on the lumbar spine during

80 

running is more than 3 times the weight of the upper body above the 5th lumbar segment.3

81 

The mid lumbar spine must cope with compressive loads in the range of 2.7-5.7 times

82 

body weight immediately following foot strike.3 Repetitive hyperextension of the lumbar

83 

spine during running has been thought to be a possible mechanism of LBP development

5   

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in runners.1,

13, 21

85 

minimizing the transmission of force to the pelvis and spine.40 Weakened muscles of the

86 

pelvis and lower limbs may fail to adequately absorb impact forces and therefore increase

87 

force transmission to the spine.35

During running, the ankle, knee and hip act as a linked system

88  89 

While deficits of lumbar extensor endurance, lumbar muscle activation, and lower limb

90 

strength are widely reported in the general population with LBP, it is unclear whether

91 

such deficits are present in runners with LBP. A better understanding of such muscular

92 

characteristics of runners with chronic LBP may contribute to the future screening,

93 

diagnosis and development of runner-specific exercise rehabilitation programs. Thus, the

94 

primary purpose of this study was to compare lumbar extensor muscle fatigability,

95 

lumbar muscle activation, and lower limb strength between male and female recreational

96 

runners with chronic low back pain (LBP) and healthy recreational runners. It was

97 

hypothesized that the lumbar extensor muscle endurance, lumbar muscle activation and

98 

lower limb muscle strength would be diminished in recreational runners with LBP.

99  100 

Methods

101 

Participants

102 

Eighteen recreational runners with non-specific chronic LBP referred from the

103 

orthopaedic outpatient specialist clinic from Alexandra Hospital were recruited (9 males

104 

and 9 females). Eighteen healthy recreational runners (9 males and 9 females) also were

105 

recruited. The sample size of 36 was estimated by a priori power analysis (power = 80%,

106 

α = .05, two-tailed tests). The effect sizes for transversus abdominis thickness and lumbar

6   

107 

extensor muscle median frequency differences between persons with chronic LBP and

108 

healthy controls have been reported to be 1.26 and 1.025 respectively. A more

109 

conservative effect size of 1.0 was used in our calculations.

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110  111 

The inclusion criteria for subjects in the LBP group were as follows: 1) age range 21 to

112 

45 years, 2) body mass index ranged 18-25 kg/m2, 3) reported LBP for > 3 months and
4/10 (average rating during past one week), 2) spine

120 

fracture, disc herniation, or signs of nerve root compression, 3) metabolic or hormonal

121 

abnormalities, 4) history of spine surgery, 5) current or previous history of lower limb

122 

fracture, tendon rupture, hip and knee arthritis, ligament laxity, , 6) high fear-avoidance

123 

beliefs (Fear Avoidance Beliefs Questionnaire score: physical activity > 12; work > 1910,

124 

49

), 7) employment requiring heavy lifting and 8) current use of pain medication.

125  126 

The study protocol was approved by the Nanyang Technological University Institutional

127 

Review Board and the National Healthcare Group Domain Specific Review Board.. All

128 

participants who volunteered for this study provided written informed consent.

129  130 

Procedures 7   

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All participants were asked to complete a Patient Specific Functional Scale (PSFS)46 for

132 

running and to report their pain intensity during running as measured by a numerical pain

133 

scale. Height and weight measurements were then obtained, followed by muscle

134 

performance variables listed below.

135  136 

Lumbar extensor muscle fatigability

137 

Bilateral iliocostalis and longissimus activation signals during a 2-minute Sorenson Test

138 

were captured using surface electromyography (EMG) sampled at 1,000 Hz (Bagnoli™

139 

Desktop EMG system, Delsys® Boston, MA, US). The electrodes for longissimus were

140 

placed 2 cm lateral to the L1 spinous process, parallel to the spine (Figure 1a).5 The

141 

electrodes for the iliocostalis were placed 4.5 cm lateral to the L3 spinous process,

142 

parallel to a straight line from posterior superior iliac spine to lateral border of the 12th

143 

rib (Figure 1a).7, 44

144  145 

The Sorenson test required participants to lie on an examining table in the prone position

146 

with the upper edge of the iliac crests aligned with the edge of the table. The lower body

147 

was fixed to the table by 3 straps, located around the pelvis, knees, and calf.(Figure 1b).36

148 

With the arms folded across the chest, participants were asked to maintain the upper body

149 

in a horizontal position without neck extension for 2 minutes. Participants were allowed

150 

to terminate the test at any time if pain became unbearable. The test also was terminated

151 

if participants failed to maintain the upper body in a horizontal position. Raw EMG data

152 

were band-pass filtered at 20-450 Hz, and then analysed in the frequency domain. The

153 

median frequency was calculated from the power density spectrum obtained using the

8   

154 

fast Fourier transform technique with a Hamming windowing of 0.1 seconds. The slope

155 

of the median frequency (MFS) was calculated for each muscle.

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156  157 

Lumbar muscle activation

158 

The thickness of the transversus abdominis and lumbar multifidus was measured using an

159 

ultrasound scanner (LOGIQ P5, GEHC, Milwaukee, WI, US). Images of the transversus

160 

abdominis muscle were captured at rest and during a sub-maximal contraction induced by

161 

an active straight leg raise (Figure 2a).27 Similarly, images of the lumbar multifidus were

162 

captured at rest and during a sub-maximal contraction induced by diagonal arm raise with

163 

a 0.8-kg weight held in the hand (Figure 2b).24 The side tested first was determined

164 

randomly. An average reading of 3 trials for each muscle group was used for subsequent

165 

analysis.

166  167 

The muscle thickness changes as reflected by muscle activation were calculated as the

168 

thickness during contraction subtracted by the resting thickness (Figures 2c and 2d).

169 

Previous studies have demonstrated the importance of normalizing muscle thickness

170 

change to body mass using allometric scaling.33, 42 Therefore we applied this method to

171 

scale the thickness changes of the lumbar multifidus and transversus abdominis using the

172 

following equation:34 a=S/mb

173 

(1)

174 

where a = allometric-scaled muscle thickness changes, S = muscle thickness changes, m

175 

= body mass, and b = derived allometric parameter.34 The allometric parameter was the

176 

slope of the linear regression line between the log transformed body mass and log

9   

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transformed muscle thickness change.22, 34 The allometric parameters for the transversus

178 

abdominis were 0.077 and -0.030 for dominant and non-dominant body sides respectively,

179 

and 0.037 and 0.121 for the lumbar multifidus (dominant and non-dominant body sides

180 

respectively).

181  182 

Lower limb muscle strength

183 

Peak torque of bilateral hip extensors, hip abductors, and knee extensors were measured

184 

using an isokinetic dynamometer (Biodex system 4 Pro, Biodex Corp., Shirley NY, US).

185 

A concentric contraction speed of 60/s was used. The knee extension test was performed

186 

in the seated position (Figure 3a). The test leg was secured to the dynamometer crank arm

187 

with a Velcro strap positioned 1 inch above the ankle, with the hip and thigh stabilized to

188 

the testing chair with Velcro straps. The lateral epicondyle of the femur was used as the

189 

anatomical reference to which the axis of the dynamometer was aligned. The

190 

flexion/extension range of motion was set from 0 to 90 of flexion (0 = full extension).

191 

The hip strength tests were performed in a standing position (Figures 3b and 3c),  with the

192 

test leg secured to the dynamometer crank arm with a Velcro strap positioned 1 inch

193 

above the knee. The greater trochanter of the femur was used as the anatomical reference

194 

to which the axis of the dynamometer was aligned. A stable handhold was provided to the

195 

participants to ensure stability. The flexion/extension range of motion was set from 90

196 

of flexion to 10 of extension and the abduction/adduction range of motion was set from

197 

0 to 30 of abduction. The test sequence of body sides was determined randomly. The

198 

peak torque values were normalized to body mass. The average value of the 3 trials was

199 

used for analysis.

10   

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200  201 

Statistical Analysis

202 

Since bilateral differences were not observed for any of the variables of interest, the

203 

average values from both sides were used for statistical analyses (SPSS 19.0). A general

204 

linear model was used to detect differences in muscle performance variables between the

205 

chronic LBP and control groups.  The dependent variables included lumbar extensor

206 

muscle fatigability (MFS for iliocostalis and longissimus), lumbar smuscle activation

207 

(allometric-scaled thickness changes of lumbar multifidus and transversus abdominis

208 

between resting and contraction), and lower limb muscle strength (average peak torque of

209 

the hip extensors, hip abductors and knee extensors). Group (LBP or control) was entered

210 

as Fixed Factor. To explore potential sex differences, gender also was entered as a fixed

211 

factor. Age was used as a covariate as the LBP group was significantly older than the

212 

control group. The interaction between group and gender also was examined in the model.

213 

The observed means (SD), estimated marginal means and mean differences (95% CI)

214 

were reported. The significance level was set at .05.

215  216 

Results

217 

Participant Characteristics

218 

Compared to the control group, The LBP group was older (p = .042), had higher fear-

219 

avoidance beliefs (p = .012), and a lower PSFS score for running (p < .001) (Table 1). On

220 

average female participants were shorter in height than their male counterparts (p=.001).

221 

No other differences in physical characteristics or demographics were found.

222 

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223 

Muscle Performance

224 

Muscle performance variables for the low back and lower limbs muscles for both groups

225 

are presented in Table 2. In regards to lumbar extensor muscle fatigability (MFS of

226 

longissimus and iliocostalis), no significant group main effects, or interactions (condition

227 

× gender) were observed. With respect to lumbar muscle activation, there was a

228 

significant group × gender interaction (p =.018) for lumbar multifidus thickness changes.

229 

Post-hoc analysis revealed that the reduction in thickness change among runners with

230 

LBP runners only occurred in males [LBP = 0.330 (0.109) cm, Healthy = 0.590 (0.191)

231 

cm, p < .05]. No significant group main effect or interaction was found for changes in

232 

transversus abdominis thickness.

233 

Regarding lower limb strength, knee extensor peak torque was significantly lower in the

234 

LBP group [Mean difference (95% CI) = 0.29 (0.06-0.53) Nm/kg, p=.016] compared to

235 

the control group. The interaction for this variable (condition × gender) was not

236 

significant (p = .323). No significant group main effects or interactions were observed for

237 

hip abduction or hip extension strength .

238  239 

Discussion

240 

The current study compared muscle performance characteristics of the back and lower

241 

limb muscles in recreational runners with and without chronic LBP. On average, knee

242 

extensor torque deficits were found in the LBP group, and lumbar multifidus activation

243 

deficits, as reflected by smaller thickness changes during submaximal contractions, only

12   

244 

were observed among male runners with LBP. There were no other differences in muscle

245 

performance between the 2 groups.

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246  247 

In our study, the longissimus and iliocostalis fatigability as measured by changes in MFS

248 

did not differ between the chronic LBP and healthy runners. This is in contrast with

249 

previous studies performed on athletes with chronic LBP participating in various sports.2,

250 

25

251 

horizontal position was shorter in athletes with chronic LBP compared to healthy controls.

252 

The small and heterogeneous sample size of 8 athletes participating in 3 different types of

253 

sports activities (gymnastics, swimming and basketball), makes it difficult to interpret

254 

their results. Another study measured lumbar extensor fatigue recovery in rowers using

255 

EMG and reported that rowers with chronic LBP had significant slower muscle power

256 

recovery as measured by MFS.25 Since the nature of rowing is very different from that of

257 

running, it is difficult to compare these previous findings with the current study.

Ashmen et al.2 reported that the holding duration of the unsupported upper body in a

258  259 

We observed that male runners with chronic LBP exhibited reduced lumbar multifidus

260 

activation as reflected by smaller changes in muscle thickness between resting and a

261 

submaximal contraction. Our findings are consistent with Lee et al., who reported

262 

persons with chronic LBP exhibit reduced lumbar multifidus cross-section area as

263 

measured with ultrsound.30 As suggested previously, we postulate that the observed

264 

muscle activation deficit may be due to an inhibition from perceived pain via a long-loop

265 

reflex pathway30 since our runners with LBP had a relatively low level of pain

266 

(Numerical Pain Score = 2.39). We were unsure, however, why such deficits were not 13   

267 

observed in female runners with chronic LBP. We speculate that the smaller size of the

268 

lumbar multifidus in females could make the deficit, if present, less obvious than that in

269 

males.

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270  271  272 

We did not find a significant difference in the transversus abdominis thickness change

273 

between the runners with chronic LBP and the control subjects. In the literature, mixed

274 

findings have been reported with respect to transversus abdominis activation. In the

275 

general LBP population, one study found no differences in transversus abdominis

276 

thickness changes induced by simulated lower limb weight-bearing at 50% of body

277 

weight between LBP and healthy subjects,15 but another study reported smaller thickness

278 

changes in LBP subjects during lower limb isometric loading at 7.5% and 15% of body

279 

weight.8 Unfortunately, the authors of the latter study did not report the absolute

280 

thickness changes which was is recommended for clinical measurements due to large

281 

measurement error.27 The varying results in the literature make direct comparisons to our

282 

study findings difficult. Moreover, there are variations in the methods employed to

283 

measure transversus abdominis activation among studies, possibly leading to varied

284 

results.

285  286 

We found diminsished knee extensor strength in our runners with chronic LBP when

287 

compared to the control subjects. In literature, there is no information on lower limb

288 

strength in runners with chronic LBP, however an association between knee extensor

289 

strength deficits and trunk weakness in patients with disc herniation and other chronic

14   

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290 

LBP populations have been reported.17,

29

291 

endurance reduction as detected by EMG also have been reported in golfers with chronic

292 

LBP.47 In a study of runners with chronic LBP, increased knee joint stiffness during

293 

running has been reported when compared to healthy controls14. During running, the

294 

quadriceps contract eccentrically following initial contact, playing an essential role in

295 

shock absorption.41 Weakness of the knee extensors may increase knee joint stiffness

296 

during running and therefore reduce capacity for shock attenuation. The shock from

297 

ground may then transmit to the low back, increasing lumbar spine stress.

Knee extensor inhibition and trunk muscle

298  299 

We did not find any differences in hip extensor and abductor strength between the

300 

runners with chronic LBP and the control group. This is in contrast with previous studies

301 

that have reported that persons with LBP population exhibit delayed activation and

302 

endurance deficits of the hip extensors.23,

303 

abductor weakness and LBP has been reported.39 It should be noted that previous studies

304 

were performed on older and more sedentary populations and that hip strength was

305 

measured in a sitting position. We adopted a one-leg standing protocol to assess hip

306 

torque as this body posture better approximates the position of the hip during running.

307 

Thus, it is difficult to directly compare our results with previous studies. On the other

308 

hand, it is likely that the functional characteristics of the hip muscles in runners are

309 

different from those of the general population. Hip extensor and abductor strength has

310 

been described as being important for power generator and stabilization during running.41

311 

The frequent use of hip muscles in chronic LBP runners could make any muscle

312 

functional deficit less obvious.

31

15   

In addition, an association between hip

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313  314 

There are certain limitations with our study that need to be considered. First, we did not

315 

measure biomechanical characteristics such as ground reaction forces and lower

316 

extremity kinematics during running. Future studies should obtain such data to better

317 

understand the relationship between muscle performance characteristics and LBP. Second,

318 

the current study design did not incorporate a non-runner LBP group to determine if the

319 

observed deficits were specifically related to runners. Third, the age range of our subjects

320 

was relatively narrow (21 to 38 years of age), limiting the generalization of our findings

321 

to younger and older populations. Fourth, the chronic LBP subjects in our study had a

322 

relatively high level of functional activity as illustrated by a PSFS of 7.9/10 during

323 

running. Thus, our findings may not apply to runners with lower functional activity levels.

324 

Fifth, our subjects’ usual running speed and pace were not recorded. This is important as

325 

running speed has been reported to affect the degree of lumbar spine lordosis during

326 

running,13, 32 which could potentially contribute to back injury. Finally, we statistically

327 

compared several muscular performance variables without adjusting the α-value. Since

328 

we reported unadjusted nominal p-values throughout, readers should be aware of the

329 

increased chance of type 1 error when interpreting the study findings.

330  331 

Conclusion

332 

Runners exhibiting chronic LBP exhibited weaker knee extensors compared to healthy

333 

runners. Activation deficits in the lumbar multifidus were observed among male runners

334 

with LBP, but not in females. No functional deficits were found in lumbar extensor

335 

fatigability, transversus abdominis activation or hip muscle strength.

16   

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336 

337 

338 

 

17 

339 

Key Points

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340  341 

Findings: Our results identified diminished knee extensor strength in runners with

342 

chronic LPB. Decifits in lumbar multifidus activation were also observed in male runners

343 

with chronic LBP.

344 

Implications: Our study findings may contribute to our understanding of causes of LBP

345 

pain in runners and the development of rehabilitations program for runners with chronic

346 

LBP.

347 

Caution: The participants with chronic LBP in our study had relatively high level of

348 

functional activity with an average PSFS of 7.9/10 during running. Thus, our findings

349 

may not apply to runners with lower functional activity levels.

18   

350 

References

351 

1.

J Applied Sport Sci. 1985;10:1-20.

352 

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353 

2.

Ashmen KJ, Swanik CB, Lephart SM. Strength and flexibility characteristics of athletes with chronic low-back pain. J. Sport Rehab. 1996;5:275-286.

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TABLE 1. Comparison of physical characteristics and demographic background between chronic low back pain and healthy runners

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Mean (SD) p-values Chronic LBP Healthy group gender group × gender runners n=18 runners n=18 Variable Age (yrs) M 29.6 (7.3) 25.6 (4.2) .770 .613 .042 F 26.0 (2.6) 23.6 (2.5) Height (cm) M 171.3 (4.7) 172.1 (7.0) .734 .506 .001 F 165.2 (8.4) 163.0 (4.2) Body Mass Index (kg/m2) M 21.5 (2.4) 21.7 (2.0) .604 .923 .468 F 22.0 (2.1) 21.1 (2.1) Running Frequency (times per week) M 2.8 (1.0) 3.2 (1.0) .107 .107 1.000 F 2.3 (0.5) 2.8 (0.7) Running Distance per Time (km) M 3.5 (0.9) 4.6 (0.7) .134 .240 .134 F 3.7 (0.7) 3.7 (1.4) PSFS M 8.1 (0.6) 10.0 (0.1) .338 .338

Low back and lower-limb muscle performance in male and female recreational runners with chronic low back pain.

Controlled laboratory study, cross-sectional...
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