Skip to main content

ORIGINAL RESEARCH article

Front. Sports Act. Living, 20 July 2021
Sec. Movement Science

Sustainability of a Motor Control Exercise Intervention: Analysis of Long-Term Effects in a Low Back Pain Study

\nAnne-Katrin PuschmannAnne-Katrin Puschmann1Chiao-I LinChiao-I Lin1Pia-Maria Wippert,
Pia-Maria Wippert1,2*
  • 1Sociology of Medicine and Psychobiology, Department of Physical Activity and Health, University of Potsdam, Potsdam, Germany
  • 2Faculty of Health Sciences Brandenburg [University of Potsdam, the Brandenburg Medical School Theodor Fontane and the Brandenburg University of Technology Cottbus – Senftenberg], Senftenberg, Germany

Development of chronic pain after a low back pain episode is associated with increased pain sensitivity, altered pain processing mechanisms and the influence of psychosocial factors. Although there is some evidence that multimodal therapy (such as behavioral or motor control therapy) may be an important therapeutic strategy, its long-term effect on pain reduction and psychosocial load is still unclear. Prospective longitudinal designs providing information about the extent of such possible long-term effects are missing. This study aims to investigate the long-term effects of a homebased uni- and multidisciplinary motor control exercise program on low back pain intensity, disability and psychosocial variables. 14 months after completion of a multicenter study comparing uni- and multidisciplinary exercise interventions, a sample of one study center (n = 154) was assessed once more. Participants filled in questionnaires regarding their low back pain symptoms (characteristic pain intensity and related disability), stress and vital exhaustion (short version of the Maastricht Vital Exhaustion Questionnaire), anxiety and depression experiences (the Hospital and Anxiety Depression Scale), and pain-related cognitions (the Fear Avoidance Beliefs Questionnaire). Repeated measures mixed ANCOVAs were calculated to determine the long-term effects of the interventions on characteristic pain intensity and disability as well as on the psychosocial variables. Fifty four percent of the sub-sample responded to the questionnaires (n = 84). Longitudinal analyses revealed a significant long-term effect of the exercise intervention on pain disability. The multidisciplinary group missed statistical significance yet showed a medium sized long-term effect. The groups did not differ in their changes of the psychosocial variables of interest. There was evidence of long-term effects of the interventions on pain-related disability, but there was no effect on the other variables of interest. This may be partially explained by participant's low comorbidities at baseline. Results are important regarding costless homebased alternatives for back pain patients and prevention tasks. Furthermore, this study closes the gap of missing long-term effect analysis in this field.

Introduction

Becoming chronic pain with annual costs of 49 billion euros and 90,000 official diagnoses (Wenig et al., 2009), back pain is the third most frequent acute diagnosis in the Federal Republic of Germany (Statistisches-Bundesamt, 2015). Along with painkillers, physiotherapeutic measures are the most frequently prescribed therapy form (Renker et al., 2009). Clinically relevant back pain is particularly pronounced in people with inadequately trained back muscles on the one hand and in people with high levels of stress such as in top-class sports on the other.

Deficits on the neuronal, muscular and/or structural level are usually cited as decisive for the development of complaints (Yahia et al., 2011; Willigenburg et al., 2013). Studies revealed that chronic back pain patients also show an increased sensitivity to pain and altered pain processing mechanisms, whose causes can primarily be attributed to central nervous mechanisms from a biopsychological point of view (Brooks et al., 2002; Wippert and Wiebking, 2018). The roots of chronification can be traced back to cortical reorganizations in the patient's brain, in particular to the individual development of pain memory and a disturbance in the deletion of pain-related memories (Zhuo, 2018).

In addition to classical conditioning mechanisms, affective and social factors have an effect on memory processes and neuroplasticity, so that depression, anxiety and low self-efficacy can contribute to maintaining pain through their limiting effect on compliance (Nicholas et al., 2011; Wippert and Wiebking, 2018). The integration of behavioral therapy approaches into classical physiotherapy and movement therapy programs can potentially break off back pain related associations as a prerequisite for chronification processes and enable long-term therapeutic success (Linton and Shaw, 2011; Wippert et al., 2015).

As postulated by a recent review from Wilson (Wilson, 2017), more research about the long-term effects of multidisciplinary programs is highly necessary, since there is little evidence about the sustaining effects of such programs on low back pain (Flor, 2011; Saragiotto et al., 2016). In order to fill this gap, the here reported results provide a follow-up to an intervention study with uni- and multidisciplinary interventions to record long-term effects. The multidisciplinary program aimed at reinforcing and classical conditioning processes and included elements of stress reduction and cognitive behavioral therapy. The novelty of the unimodal therapy was a short-time motor control training program that could be performed at home with only little additional material. The here presented paper addresses the following key questions:

1) Do long-term effects on pain intensity and disability differ between uni- vs. multidisciplinary motor control exercise interventions?

2) Is the multidisciplinary exercise intervention more sustainable than uni-disciplinary exercises in its effects on (a) pain related cognitions? (b) stress load?

Materials and Methods

Study Design

The initial motor control exercise study was a multicenter 3-armed randomized controlled trial including a 12-week intervention. Participants were allocated into unimodal or multidisciplinary intervention (nblock = 18, basis 1:1, www.randomization.com). The unimodal intervention was a motor control training (SMT, three times/week, 30 min, four exercises and 12 activity levels). The multidisciplinary intervention SMT + BT was SMT combined with a behavioral therapy module (BT, includes body scan relaxation, partner-education film and cognitive distraction tasks additional to SMT) (Wippert et al., 2015, 2019, 2020). The study was registered as a clinical trial 05/16/2013 in the German Clinical Trial Register with the identification number: DRKS00004977 (https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00004977) (Wippert et al., 2015, 2019, 2020).

The intervention was conducted center-based over a course of three weeks and was subsequently continued on a home-based level for an additional nine weeks. In order to control the exercise execution, at the center-based training, a sports- and physiotherapists supervised participants' training and at the home-based training, participants performed the exercise with an audio-guided DVD and wrote exercise diaries (Wippert et al., 2015). After the first baseline measurements, intervention effects were measured after 12 weeks of intervention (post-intervention). The long-term effects presented here were assessed 14 months after the end of the intervention (long-term follow-up) (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Study design: SMT: sensorimotor training; SMT + BT: sensorimotor training and behavioral therapy module; CPG: Chronic Pain Grade questionnaire; CPI: Characteristic Pain Intensity; DISS: Disability; HADS: Hospital Anxiety and Depression Scale; FABQ: Fear Avoidance Beliefs Questionnaire; PSS: Perceived Stress Scale; VE: Maastricht Vital Exhaustion Questionnaire 96 Short Form (VE).

The main objective criteria for recording long-term effects of the unimodal and multidisciplinary intervention were pain intensity and pain-related disability as well as psychosocial factors such as psychophysiological stress, anxiety, depression, and pain-related cognitions. All participants agreed to answer the survey in advance and thereby declared their consent to participate in the study. All surveys were designed and implemented in accordance with the principles of the Declaration of Helsinki and approved by the independent Ethics Committee of the University of Potsdam, Germany (Ethics Vote of the University of Potsdam, No. 19/2015).

Study Sample

In total n = 154 participants were recruited from the study center at the University of Potsdam, and completed were contacted by telephone six months after completion of the last measurements, and asked to take part in this additional follow-up survey. Table 1 presents participants' characteristics at the baseline. Participants initiated the intervention at different time points. The research center contacted participants six months after all measurements were completed. Therefore, the participants who started intervention earlier have a longer follow-up period, and the participants who started later have a shorter follow-up period. On average, the long-term follow-up period was 14 months. The study sample is a subsample from the main intervention study (MiSpEx DRKS00004977). The sample size calculation of the main study was based on an unpublished dataset (a ≤ 0.05; 1-β = 0.999, drop out 30%, power analysis by G*Power, 36 effect size f = 0.25, sample size: n = 600).

TABLE 1
www.frontiersin.org

Table 1. Participants' characteristics at the baseline.

Inclusion criteria were age between 18 and 65 years with intermittent back pain (defined as a minimum score of two on a numerical rating scale (0—no pain, 10—worst pain). Exclusion criteria were 1) suffering from acute infections (past seeven days); 2) current pregnancy; 3) not being able to stand upright independently, 4) not being able to move independently from a lying position to a standing position; 5) being unable to complete a questionnaire on their own (without outside help); 6) a diagnosis that excludes physical activity; and 7) acute back pain that has occurred within the last seven days. All participants received written and oral information and having signed an informed consent form, before participating.

Instruments

Long-term effects were measured by a questionnaire-based follow-up survey. Characteristic pain intensity (CPI) and pain related disability (DISS) of the previous three months were assessed with the Chronic Pain Grade questionnaire (CPG) (Korff et al., 1992).

The presence of Anxiety and Depression were determined using the Hospital and Anxiety Depression Scale (HADS) (Zigmond and Snaith, 1983). Pain-related cognitions were measured with the Fear Avoidance Beliefs Questionnaire (FABQ: subscales work and activity) (Pfingsten et al., 1997). Chronic stress was recorded using the German version of the Perceived Stress Scale (PSS) (Cohen et al., 1983). The German short version of the Maastricht Vital Exhaustion Questionnaire (VE) (Appels et al., 1987) was used to quantify vital exhaustion.

Statistical Analysis

Three measurement points were included in the statistical analysis (baseline, post-intervention, long-term [14 months] follow-up). Statistical analysis was performed using IBM SPSS Statistics 24.0. Repeated measures mixed ANCOVA (time: baseline, post-intervention, long-term follow-up; group: control group, unimodal, multidisciplinary) were calculated to determine the long-term effects of the intervention on characteristic pain intensity and pain related disability as well as on the psychosocial factors (general anxiety and depression; pain related cognitions: FABQ scales work and activity; PSS and VE). All calculations were adjusted for age, sex, and time difference post-intervention to follow-up. Significance was set at a level of α = 0.05. Since groups were compared with regard to changes within the variables of interest, time*group interaction effects were reported, including ηp2 as a measure of effect size (Bühner and Ziegler, 2017). If significance was detected, further analyses were conducted group wise to determine where exactly the change took place. Missing data were dealt with based on questionnaire manuals and American Psychology Association guidelines. Missing cases (e.g. missing questionnaire at measurement point) were not analyzed (APS, 2020).

Results

Descriptive

In total, n = 84 subjects participated in the follow-up survey (response-rate = 54.5%). 59.5% of the subjects were female. Average age of the sample population was 34.8 years (SD = 11.7). The groups were nearly equally distributed with n = 29 subjects being part of the control group, n = 28 of the SMT group and n = 27 of the SMT+BT group. Table 2 showed the characteristics of participants who attended follow-up and who did not at the baseline, post-intervention, and long-term follow-up (14-month).

TABLE 2
www.frontiersin.org

Table 2. The characteristics of participants who attended follow-up and who dropped out at the baseline and after intervention.

Baseline and follow-up values of pain intensity, disability and psychosocial variables are displayed in Table 3. At the long-term follow-up, of all groups, subjects of the SMT group reported the lowest CPI (M[SD] = 25.8 [14.8] in comparison to the SMT+BT group (M[SD] = 26.4 [23.5]) and controls (M[SD] = 28.3 [18.9]. The lowest disability score at follow-up was reported by the SMT+BT group (M[SD] = 8.1 [14.5] compared to the SMT group (M[SD] = 9.1 [11.2] and controls (M[SD] = 13.7 [17.4]).

TABLE 3
www.frontiersin.org

Table 3. Descriptive values (M, SD) of the study sample at baseline and long-term follow-up.

The lowest depression score at follow-up was reported by the SMT group (M[SD] = 2.5 [2.1], compared to the SMT+BT group (M[SD] = 3.2 [3.2]) and controls (M[SD] = 3.3 [2.8]). The lowest anxiety score was reported by the SMT+BT group (M[SD] = 4.5[2.8]), compared to the SMT group (M[SD] = 5.4 [3.5]) and controls (5.7[3.3]).

Long-Term Effects on Pain Intensity and Disability

The repeated measures ANCOVA revealed a significant time*group effect when comparing groups with respect to DISS at baseline, post intervention and long-term follow-up (Ftime*group(4,118) = 3.931; p = 0.005; ηp2 = 0.118). Significant long-term changes are present in the unimodal group between post-intervention and long-term follow-up (Ftime(2,38) = 4.591; p = 0.016; ηp2 = 0.195; pairwise comparisons, Bonferroni corrected: Δpostinterv, baseline = −7.17 [95%CI: −15.61; 1.28]; Δfollowup, postinterv = −7.05 [95%CI: −13.20; – 0.90]). The change in the multidisciplinary group did not reach statistical significance (Ftime(2,32) = 1.441; p = 0.252; ηp2 = 0.083; pairwise comparisons, Bonferroni corrected: Δpostinterv, baseline = 2.52 [95%CI: −8.36; 13.40]; Δfollowup, postinterv = −7.64 [95%CI: −20.94; 5.67]) nor did the change in the control group (Ftime(2,40) = 0.421; p = 0.660; ηp2 = 0.021; pairwise comparisons, Bonferroni corrected: Δpostinterv, baseline = −4.82 [95%CI: −11.32; 1.69]; Δfollowup, postinterv = 6.25 [95%CI: −2.23; 14.72]).

The time*group effect for CPI did not reach statistical significance (Ftime*group(4,120) = 0.997; p = 0.412; ηp2 = 0.032).

Long-Term Effects on Psychosocial Variables

Regarding anxiety and depression, no significant time*group effect could be found (depression: Ftime*group(4,110) = 2.267, p = 0.067, ηp2 = 0.076; anxiety: Mauchly's W = 0.856, p = 0.015, Greenhouse-Geisser: Ftime*group(3.5, 97.9) = 0.283, p = 0.866, ηp2 = 0.010).

There was no significant time*group effect in perceived stress (Mauchly's W = 0.880, p = 0.032; Greenhouse-Geisser: Ftime*group(3.6, 98.2) = 1.130, p = 0.345, ηpart2 = 0.039) and vital exhaustion (Ftime*group(4,118) = 0.561, p = 0.692, ηp2 = 0.019). There was also no significant time*group effect in pain related cognitions (FABQ work: Ftime*group(4,116) = 1.837, p = 0.126, ηpart2 = 0.060; FABQ activity: Ftime*group(4,114) = 1.874, p = 0.120, ηp2 = 0.062).

Discussion

The present study is—to our knowledge—one of the first studies analyzing long-term effects of uni- and multimodal exercise programs on low back pain. It is assumed that the most effects will only be of short-term duration (Choi et al., 2010), but indeed, there is a lack of knowledge about the extent of effect changes over time after an exercise intervention. The main purpose of the current study was therefore to investigate the difference of long-term effects from uni- and multidisciplinary motor control exercise interventions on pain intensity, disability and psychosocial variables.

In view of the primary research question, the data indicates a superior long-term effect of motor control exercise training on pain related disability. Subjects of the SMT group could benefit from a long-term effect of the motor control training on pain-related disability, with a large effect size of ηp2 = 0.195 (corresponding Cohen's f = 0.49), whereas the change of disability in the multidisciplinary group missed statistical significance, although pointing to a medium sized effect (ηp2 = 0.083, corresponding Cohen's f = 0.301). Despite these effects on disability, the effect of the two interventions showed no group difference of long-term effect on pain intensity. These results are consistent with Wilson's findings that the benefits of multidisciplinary approaches for pain patients seem to be clearest for physical and psychological functioning, whereas the effects on pain intensity seem to be rather low and short termed (Wilson, 2017). Both treatments seem to promote physical functioning, even under the influence of chronic pain.

Considering the second research question about the differences between the interventions on cognitions, the results do not support a long-term effect of the multidisciplinary approach on anxiety and depression as well as pain-related cognitions. It should be noted that the change in depression—although missing statistical significance—showed a medium effect size (ηp2 = 0.076; corresponding Cohen's f = 0.287). This direction is supported by recent findings on the positive influence of exercise interventions on depression, regardless of the kind of exercise intervention (Schuch et al., 2015; Roy et al., 2018; Irandoust et al., 2019). Subjects of the SMT+BT group reported their pain least at work and physical activity, this result is also missing statistical significance, although displaying a medium sized effect (ηp2 = 0.06, corresponding Cohen's f = 0.25). There were no statistically significant group differences in perceived stress and vital exhaustion.

Since the burden of stress and vital exhaustion are almost equally distributed between both treatment groups, a superiority of the SMT+BT training could not be derived. A previous study on chronic fatigue did show positive effects of exercise on fatigue symptoms and physical and psychological functioning in a small sample of women with chronic fatigue syndrome (Broadbent et al., 2018). However, in another study exercise reduced neck/shoulder pain but did not reduce work stress (Fanavoll et al., 2016). Both studies did not include multidisciplinary treatments, so the indication for people with stress and other psychological symptoms were missing. Further studies are clearly warranted to highlight the influence of multidisciplinary exercise-based treatments on low back pain and related symptoms of pain related cognitions, depression, anxiety, and stress.

Previous studies found that participants with low back pain decreased pain and disability at 12 and 24 months after interventions (motivation program; fear reduced and activity level increased program) (Friedrich et al., 1998; Von Korff et al., 2005). In addition, at 24 months of follow-up after the intervention (fear reduced and activity level increased program), the decrease of worry and fear avoidance still differ between groups (Von Korff et al., 2005). The different outcomes between the previous and the current study might be caused by the baseline value. At the baseline, participants in the previous studies showed a higher pain intensity (50–58 measured by numerical rating scale) than the current study (27–33 measured by CPI) (Friedrich et al., 1998; Von Korff et al., 2005). As well as pain disability, participants in the previous study showed a higher level of disability (Roland disability questionnaire [0–23]: 12.3–11.4 [high level]) than the current study (DISS [0-100]: 9.6–17.9 [low level]) (Korff et al., 1992; Roland and Fairbank, 2000; Von Korff et al., 2005). These studies included patients with chronic low back pain. In the methodological perspective, a higher pain level at baseline leads to a stronger pain reduction in the first months of intervention. The current study showed a small degree of pain reduction that may be valuable regarding chronic pain prevention, which is essential in people with intermitted low back pain as we had included in our study.

Limitations

The limitations of the results presented in this study lie in the sample size of n = 84 subjects, which corresponds to 11.3% of the total sample of the initial exercise study. This leads to a limited representativeness of the examined sample and thus reduces the transferability of the results to the general population. 54.8% of the sample of one study site did participate in the long-term follow-up survey. In addition, a selection bias—and thus distorted answers, e.g. in a positive direction—is therefore probable and should be taken into account in the interpretation of the results. This further leads to different baseline pain levels in the groups, which may impair their comparability. Because of the small sample size, statistical power is reduced, especially when adjustments with additional variables are included into the analysis. Hence, possible effects could miss statistical significance and are therefore not interpreted further as was the case with pain related cognition scales or depression in this subsample. Also, the psychosocial risk and comorbidities were low in the observed sample. The surveys took place—on average—14 months after the completion of the initial study and it is likely that a majority of subjects did not continue properly with the home-based intervention by themselves. Moreover, no information regarding potential treatments during the 14-months follow-up time was available. In future studies, in order to statistically substantiate these indications, a longer follow-up period should be established directly, and a correspondingly large sample should be included.

Conclusion

The results of this study indicate sustainable effects of a homebased motor control exercise intervention on back pain related disability. There are further hints of sustainable effects of the multidisciplinary intervention, as well as intervention effects on pain related cognitions and depression, however, these could not be confirmed statistically due to a lack of statistical power. In order to be able to deepen the analysis of possible emergence effects and to discriminate unimodal exercise interventions against multidisciplinary approaches, further studies are needed with larger samples and longer follow-up periods.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by all surveys were designed and implemented in accordance with the principles of the Declaration of Helsinki and approved by the independent Ethics Committee of the University of Potsdam, Germany (Ethics Vote of the University of Potsdam, No. 19/2015). The patients/participants provided their written informed consent to participate in this study.

Author Contributions

A-KP: writing original draft, methodology, and formal analysis. C-IL: editing and visualization. P-MW: conceptualization, data curation, investigation, and funding and project administration (PI). All authors reviewed the document and approved the final version for submission.

Funding

The study was funded by the Federal Institute for Sports Science and realized within the German MiSpEx research network-Medicine in Spine Exercise [grant number ZMVI1-080102A/11-18]. We further acknowledge the support of the Deutsche Forschungsgemeinschaft the Open Access Publishing Fund of the University of Potsdam.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank the staff of the University Outpatient Clinic Potsdam for their support in conducting the main study. Furthermore, we would like to thank Elisabeth Gray, Michael Brenner-Fliesser and Sanne Houtenbos for their proof-reading.

Abbreviations

CPG, chronic pain grade questionnaire; CPI, chronic pain intensity; DISS, pain related disability; FABQ-D, fear avoidance beliefs questionnaire (German version); HADS-D, hospital and anxiety depression scale; M, means; PSS, perceived stress scale; SD, standard deviation; SMT, unimodal intervention: sensorimotor training; SMT+BT, multidisciplinary intervention: sensorimotor training with elements of behavioral therapy; VE, Maastricht vital exhaustion questionnaire.

References

Appels, A., Hoppener, P., and Mulder, P. (1987). A questionnaire to assess premonitory symptoms of myocardial infarction. Int. J. Cardiol. 17, 15–24. doi: 10.1016/0167-5273(87)90029-5

PubMed Abstract | CrossRef Full Text | Google Scholar

APS (2020). Publication Manual of the American Psychological Association, 7th Edn. Washington, DC.

Google Scholar

Broadbent, S., Coetzee, S., and Beavers, R. (2018). Effects of a short-term aquatic exercise intervention on symptoms and exercise capacity in individuals with chronic fatigue syndrome/myalgic encephalomyelitis: a pilot study. Eur. J. Appl. Physiol. 118, 1801–1810. doi: 10.1007/s00421-018-3913-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Brooks, J. C., Nurmikko, T. J., Bimson, W. E., Singh, K. D., and Roberts, N. (2002). fMRI of thermal pain: effects of stimulus laterality and attention. Neuroimage 15, 293–301. doi: 10.1006/nimg.2001.0974

PubMed Abstract | CrossRef Full Text | Google Scholar

Bühner, M., and Ziegler, M. (2017). Statistik für Psychologen und Sozialwissenschaftler. Frankfurt: Pearson Deutschland GmbH.

Google Scholar

Choi, B. K., Verbeek, J. H., Tam, W. W., and Jiang, J. Y. (2010). Exercises for prevention of recurrences of low-back pain. Cochrane Database Syst. Rev. 2010:CD006555. doi: 10.1002/14651858.CD006555.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, S., Kamarck, T., and Mermelstein, R. (1983). A global measure of perceived stress. J. Health Soc. Behav. 24, 385–396. doi: 10.2307/2136404

CrossRef Full Text | Google Scholar

Fanavoll, R., Nilsen, T. I., Holtermann, A., and Mork, P. J. (2016). Psychosocial work stress, leisure time physical exercise and the risk of chronic pain in the neck/shoulders: longitudinal data from the Norwegian HUNT Study. Int. J. Occup. Med. Environ. Health 29, 585–595. doi: 10.13075/ijomeh.1896.00606

PubMed Abstract | CrossRef Full Text | Google Scholar

Flor, H. (2011). “Neurobiologische und psychobiologische Faktoren der Chronifizierung und Plastizität,” in Schmerzpsychotherapie, eds. B. Kröner-Herwig, J. Frettlöh, R. Klinger and P. Nilges (Berlin: Springer), 89–103. doi: 10.1007/978-3-642-12783-0_5

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedrich, M., Gittler, G., Halberstadt, Y., Cermak, T., and Heiller, I. (1998). Combined exercise and motivation program: effect on the compliance and level of disability of patients with chronic low back pain: a randomized controlled trial. Arch. Phys. Med. Rehabil. 79, 475–487. doi: 10.1016/S0003-9993(98)90059-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Irandoust, K., Taheri, M., Chtourou, H., Nikolaidis, P. T., Rosemann, T., and Knechtle, B. (2019). Effect of time-of-day-exercise in group settings on level of mood and depression of former elite male athletes. Int. J. Environ. Res. Public Health 16:3541. doi: 10.3390/ijerph16193541

PubMed Abstract | CrossRef Full Text | Google Scholar

Korff, M., Ormel, J., Keefe, F. J., and Dworkin, S. F. (1992). Grading the severity of chronic pain. Pain 50, 133–139. doi: 10.1016/0304-3959(92)90154-4

CrossRef Full Text | Google Scholar

Linton, S. J., and Shaw, W. S. (2011). Impact of psychological factors in the experience of pain. Phys. Ther. 91, 700–711. doi: 10.2522/ptj.20100330

PubMed Abstract | CrossRef Full Text | Google Scholar

Nicholas, M. K., Linton, S. J., Watson, P. J., and Main, C. J. (2011). Early identification and management of psychological risk factors (“yellow flags”) in patients with low back pain: a reappraisal. Phys. Ther. 91, 737–753. doi: 10.2522/ptj.20100224

PubMed Abstract | CrossRef Full Text | Google Scholar

Pfingsten, M., Leibing, E., Franz, C., Bansemer, D., Busch, O., and Hildebrandt, J. (1997). Erfassung der “fear-avoidance-beliefs” bei Patienten mit Rückenschmerzen: Deutsche Version des “fear-avoidance-beliefs questionnaire” (FABQ-D). Schmerz 11, 387–395. doi: 10.1007/s004820050114

CrossRef Full Text | Google Scholar

Renker, E. K., Schluter, J., Neubauer, E., and Schiltenwolf, M. (2009). Therapy of patients with chronic back pain. Prescriptions–contentment–outcome. Schmerz 23, 284–291. doi: 10.1007/s00482-009-0785-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Roland, M., and Fairbank, J. (2000). The Roland–Morris disability questionnaire and the oswestry disability questionnaire. Spine 25, 3115–3124. doi: 10.1097/00007632-200012150-00006

CrossRef Full Text | Google Scholar

Roy, A., Govindan, R., and Muralidharan, K. (2018). The impact of an add-on video assisted structured aerobic exercise module on mood and somatic symptoms among women with depressive disorders: study from a tertiary care centre in India. Asian J. Psychiatr. 32, 118–122. doi: 10.1016/j.ajp.2017.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Saragiotto, B. T., Maher, C. G., Yamato, T. P., Costa, L. O., Menezes Costa, L. C., Ostelo, R. W., et al. (2016). Motor control exercise for chronic non-specific low-back pain. Cochrane Database Syst. Rev. Cd012004. doi: 10.1002/14651858.CD012004

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuch, F. B., Vasconcelos-Moreno, M. P., Borowsky, C., Zimmermann, A. B., Rocha, N. S., and Fleck, M. P. (2015). Exercise and severe major depression: effect on symptom severity and quality of life at discharge in an inpatient cohort. J. Psychiatr. Res. 61, 25–32. doi: 10.1016/j.jpsychires.2014.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Statistisches-Bundesamt (2015). Krankheitskosten in Mio. € für Deutschland. Available online at: http://www.gbe-bund.de/oowa921-install/servlet/oowa/aw92/WS0100/_XWD_PROC?_XWD_198/2/XWD_CUBE.DRILL/_XWD_226/D.946/28384

Google Scholar

Von Korff, M., Balderson, B. H. K., Saunders, K., Miglioretti, D. L., Lin, E. H. B., Berry, S., et al. (2005). A trial of an activating intervention for chronic back pain in primary care and physical therapy settings. Pain 113, 323–330. doi: 10.1016/j.pain.2004.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wenig, C. M., Schmidt, C. O., Kohlmann, T., and Schweikert, B. (2009). Costs of back pain in Germany. Eur. J. Pain 13, 280–286. doi: 10.1016/j.ejpain.2008.04.005

CrossRef Full Text | Google Scholar

Willigenburg, N. W., Kingma, I., Hoozemans, M. J. M., and van Dieën, J. H. (2013). Precision control of trunk movement in low back pain patients. Hum. Mov. Sci. 32, 228–239. doi: 10.1016/j.humov.2012.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilson, I. R. (2017). Management of chronic pain through pain management programmes. Br. Med. Bull. 124, 55–64. doi: 10.1093/bmb/ldx032

CrossRef Full Text | Google Scholar

Wippert, P.-M., de Witt Huberts, J., Klipker, K., Gantz, S., Schiltenwolf, M., and Mayer, F. (2015). Beschreibung und empirische fundierung des verhaltenstherapeutischen moduls der MiSpEx-intervention. Der Schmerz 29, 658–663. doi: 10.1007/s00482-015-0044-y

CrossRef Full Text | Google Scholar

Wippert, P.-M., Drießlein, D., Beck, H., Schneider, C., Puschmann, A.-K., Banzer, W., et al. (2019). The feasibility and effectiveness of a new practical multidisciplinary treatment for low-back pain: a randomized controlled trial. J. Clin. Med. 9:115. doi: 10.3390/jcm9010115

PubMed Abstract | CrossRef Full Text | Google Scholar

Wippert, P.-M., Puschmann, A.-K., Drießlein, D., Banzer, W., Beck, H., Schiltenwolf, M., et al. (2020). Personalized treatment suggestions: the validity and applicability of the risk-prevention-index social in low back pain exercise treatments. J. Clin. Med. 9:1197. doi: 10.3390/jcm9041197

PubMed Abstract | CrossRef Full Text | Google Scholar

Wippert, P.-M., and Wiebking, C. (2018). Stress and alterations in the pain matrix: a biopsychosocial perspective on back pain and its prevention and treatment. Int. J. Environ. Res. Public Health 15:785. doi: 10.3390/ijerph15040785

PubMed Abstract | CrossRef Full Text | Google Scholar

Yahia, A., Jribi, S., Ghroubi, S., Elleuch, M., Baklouti, S., and Habib Elleuch, M. (2011). Evaluation of the posture and muscular strength of the trunk and inferior members of patients with chronic lumbar pain. Joint Bone Spine 78, 291–297. doi: 10.1016/j.jbspin.2010.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhuo, M. (2018). Long-term cortical synaptic changes contribute to chronic pain and emotional disorders. Neurosci. Lett. 702, 66–70. doi: 10.1016/j.neulet.2018.11.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Zigmond, A. S., and Snaith, R. P. (1983). The Hospital anxiety and depression scale. Acta Psychiatrica Scandinavica 67, 361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x

CrossRef Full Text | Google Scholar

Keywords: MiSpEx, low back pain, long-term effects, multidisciplinary intervention, sustainability

Citation: Puschmann A-K, Lin C-I and Wippert P-M (2021) Sustainability of a Motor Control Exercise Intervention: Analysis of Long-Term Effects in a Low Back Pain Study. Front. Sports Act. Living 3:659982. doi: 10.3389/fspor.2021.659982

Received: 28 January 2021; Accepted: 23 June 2021;
Published: 20 July 2021.

Edited by:

Adelaida María AM Castro Sánchez, University of Almeria, Spain

Reviewed by:

Roger Hilfiker, HES-SO Valais-Wallis, Switzerland
Manuel Saavedra-Hernandez, University of Almería, Almeria, Spain

Copyright © 2021 Puschmann, Lin and Wippert. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Pia-Maria Wippert, d2lwcGVydCYjeDAwMDQwO3VuaS1wb3RzZGFtLmRl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.