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Vibration therapy to improve pain and function in patients with chronic low back pain: a systematic review and meta-analysis

Journal of Orthopaedic Surgery and Research volume 18, Article number: 727 (2023) Cite this article

Abstract

Background

Vibration therapy (VT), a treatment of musculoskeletal disorders, has been developed for clinical applications in the past decade. However, its effect on relieving chronic low back pain (CLBP) and improving lumbar function is still illusive, lacking sufficient evidence-based medical data.

Objective

This systematic review aimed to evaluate the efficacy of vibration therapy on pain and function in people with CLBP.

Methods

PubMed, Cochrane Library, Web of Science, Embase, CNKI, Wanfang Date, VIP, and CBM were applied to search for clinical randomized controlled trials (RCTs) on vibration therapy for people with CLBP. The electronic databases were searched from the establishment of the database until July 1, 2023. Two researchers assessed the quality of the included studies and extracted data. The outcome indicators included the pain intensity index, Oswestry dysfunction index (ODI) score, and Roland–Morris dysfunction questionnaire (RMDQ) score. GRADE was used to evaluate the certainty of evidence of each outcome indicator. The meta-analysis was conducted using RevMan 5.3 software.

Results

Fourteen papers met the inclusion criteria with 860 subjects (VT group n = 432 and control group n = 428). VT for patients with CLBP reduced the pain intensity index [SMD = − 0.71, 95% CI (− 1.02, − 0.39), I2 = 76%, P < 0.0001], the ODI score value [MD = − 4.24, 95% CI (− 8.10, − 0.38), I2 = 88%, P = 0.03], and the RMDQ score value [MD = − 2.21, 95% CI (− 3.41, − 1.01), I2 = 0%, P = 0.0003]. Subgroup analysis displayed that the pain intensity index was lower in the whole-body vibration (WBV) group than in the control group [SMD = − 0.49, 95% CI (− 0.79, − 0.19), I2 = 58%, P = 0.001] and the local vibration (LV) group [SMD = − 1.07, 95% CI (− 1.60, − 0.53), I2 = 76%, P < 0.0001]. The ODI scores in the WBV group were lower than those in the control group [MD = − 3.30, 95% CI (− 5.76, − 0.83), I2 = 36%, P = 0.009]. There was no statistically significant difference in ODI scores between the LV group and the control group [MD = − 5.78, 95% CI (− 16.23, 4.66), I2 = 97%, P = 0.28].

Conclusion

The data from this study suggest that VT can reduce pain and improve lumbar function in patients with CLBP. However, we still need to carefully interpret the results of this study, as the certainty of evidence was low, and the clinical relevance of the results is questionable. Further RCTs are needed in the future to ascertain this.

Introduction

Low back pain (LBP), also known as lower back pain, lumbar back pain, etc., is pain arising from the lower border of the ribs, in the lumbosacral and sacroiliac regions, with or without radiating pain to the lower extremities. A duration of more than 3 months of the disease is considered chronic low back pain [1]. A total of 80% of adults experience low back pain [2], and CLBP can incapacitate people and reduce the possibility of early return to work [3]. Treatments such as oral medications and suspension training have limited efficacy in CLBP, which is a common disease with complex etiology and pathogenesis [4]. It can have a serious impact on the health, quality of life, and work of people, as well as bringing about heavy medical costs and indirect social burdens [4].

In the past decade, vibration therapy has been developed in clinical applications, but has not yet been widely applied in the rehabilitation of CLBP. Vibration therapy has the advantages of safety and saving manpower and material resources. Especially in the field of geriatric rehabilitation, it has been proven to have a high degree of safety, and there has been no report of serious adverse reactions to vibration [5]. Vibration therapy includes whole-body vibration therapy and local vibration therapy. The previous systematic reviews and meta-analyses of vibration therapy for CLBP [6, 7] are few and only focused on whole-body vibration therapy on CLBP. As the clinical use of vibration therapy for low back pain continues to increase, there is a need to include local vibration therapy in evidence syntheses including meta-analysis.

To this end, we performed a meta-analysis of RCTs of not only whole-body vibration therapy but also local vibration therapy of people with CLBP. The purpose of this study is to comprehensively analyze the effects of vibration therapy on pain and function in patients with CLBP and to provide further clinical data-based evidence for the treatment of CLBP.

Methods

Study design

The meta-analysis was registered on the PROSPERO platform of the International Register of Systematic Evaluations (No. CRD42023429930). It is in accordance with the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses [8, 9] and Cochrane Handbook [10].

Search strategy

Randomized controlled trials of vibration therapy for CLBP were searched in the English databases PubMed, Cochrane Library, Web of Science, Embase, and in the Chinese databases CNKI, Wanfang Date, VIP, and CBM. The electronic databases were searched from the establishment of the database until July 1, 2023, using Mesh Terms, index terms, and keywords. The search strategy was developed according to the Patient population, Intervention, Comparison, Outcome, and Study design (PICOS) approach. Chinese search terms: "vibration" or "whole-body vibration" or "vibration therapy" and "low back pain" or "chronic low back pain" or "lumbar muscle strain" or "lumbar paralysis" and "randomized controlled trial" or "randomized controlled study" or "RCT" or "randomized." The English search strategy is shown as an example in the Additional file 1.

Inclusion criteria

  1. ➀

    Study type: RCTs.

  2. ➁

    Literature language: Chinese and English.

  3. ➂

    Study subjects: Patients with CLBP (pain arising from the lower edge of the ribs, in the lumbosacral and sacroiliac areas, with or without radiating pain in the lower limbs, and the duration of the disease is more than 3 months) for all races, nationalities, and duration of the disease.

  4. ➃

    Intervention methods: The vibration therapy or vibration therapy combined with additional treatment, including basic medication, exercise therapy, and others, was applied in the VT group. Interventions other than vibration therapy were applied in the control group.

  5. ➄

    Outcome indicators: Pain intensity indicators (visual analog scale (VAS) and numeric rating scales (NRS)) and functional indicators (Oswestry disability index (ODI) and Roland–Morris disability questionnaire (RMDQ)).

Exclusion criteria

(1) The literature with missing data; (2) the literature without complete text content and duplicate articles; (3) non-RCT studies; (4) the literature with non-compliant research content; (5) the literature with different research subjects, research methods, and outcome indicators; (6) dissertations and low-quality literature; and (7) the literature for patients with lumbar radiculopathy or neural problems.

Screening and data extraction

Two researchers (QL and PL), both with search experience and training, read the literature to screen and extract information based on inclusion and exclusion criteria. The data recorded included: author, publication time, country, number of people, age, intervention, duration of intervention, and outcome indicators. Two researchers (QL and PL) checked the results of the collected data from each other, and disagreements were discussed between researchers to reach a consensus. The corresponding author (ZBW) made the final decision if disagreements persisted.

Risk of bias evaluation

Two researchers (QL and PL) assessed the quality of the included studies, using the Cochrane Handbook's Risk of Bias Assessment Tool for RCTs [11]. Any disagreements were resolved by reaching an agreement through joint discussion.

Certainty of evidence assessment

We used the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system [12] to classify the certainty of evidence for outcome indicators of the included studies. And five factors in the system could affect the certainty of evidence. The grade of evidence is categorized as high, medium, low, and very low.

Statistical analysis

RevMan 5.3 software was used in the data analysis process. Since the data are a continuous variable, we utilize the mean difference (MD) and standard mean difference (SMD) as impact indicators to provide a 95% confidence interval (CI). The statistical heterogeneity among the studies in each meta-analysis was tested using the I2 test and the Chi2 test. At P ≥ 0.1 and I2 ≤ 50%, there was no significant heterogeneity in the included literature, which could be analyzed by meta-analysis using the fixed-effects model. In the case of P < 0.1, I2 > 50%, there was significant heterogeneity in the included literature, and meta-analysis could be performed to use the random effects model. To identify sources of heterogeneity, subgroup analysis was conducted based on vibration therapy modality. In addition, we assessed the publication bias among the included studies by the funnel plot and Egger's test.

Results

The initial literature search of the database retrieved a total of 362 records. A total of 152 repetitive records were detected and removed using the EndNote X9 software. In addition, after reviewing the title and abstract, 170 records were not included, with a Kappa score of 0.84 (95% CI 0.83–0.90). After full-text reading, 26 studies did not match the inclusion requirements, with a Kappa score of 0.89 (95% CI 0.79–0.99). Finally, this study included 14 RCTs [13,14,15,16,17,18,19,20,21,22,23,24,25,26] with a total of 860 people (n = 432 in the VT group and n = 428 in the control group). Figure 1 shows the PRISMA flowchart of studies screening selection.

Fig. 1
figure 1

PRISMA flowchart of studies screening selection

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Basic characteristics of included studies and risk of bias evaluation

Fourteen papers were published between 2002 and 2023 from China, Spain, Korea, Germany, and Turkey. In the experimental group, all individuals received vibration therapy or vibration therapy in combination with other treatment regimens, while the control group received interventions other than vibration therapy. The duration of the interventions varied from 2 to 24 weeks. Table 1 shows the basic features of the 14 RCTs.

Table 1 Basic characteristics of the included studies
Full size table

All studies explicitly used random grouping. Four studies [14, 19, 22, 24] described allocation concealment. One study [21] used a blind method for participants, and seven studies [14, 16,17,18,19, 22, 24] used blind methods for evaluators. The evaluation results of the 14 RCTs are shown in Figs. 2 and 3.

Fig. 2
figure 2

Risk of bias graph

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Fig. 3
figure 3

Risk of bias summary

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Assessment of certainty of evidence

The included outcome indicators were assessed based on GRADE, which showed a low certainty of evidence for the pain intensity index, the ODI score, and the RMDQ score. For more detailed information, please refer to Additional file 2: Table S1.

Meta-analysis results

The interventions in 14 RCTs were mainly categorized into whole-body and local vibration therapy, and the outcome indicators included VAS, NRS, ODI, and RMDQ scores. Because the results of the VAS and NRS scores were similar, they were pooled together in the meta-analysis presented in a forest plot. This is a common approach within the Cochrane Back and Neck Group [27].

Pain scores

Eleven RCTs [13,14,15,16,17,18,19,20, 22, 24, 25] reporting VAS or NRS scores of CLBP people before and after treatment were included in this study. Figure 4 shows the effect of vibration therapy on subjective pain levels in CLBP people, with a total of 737 cases. The results of these 11 studies showed heterogeneity among the results (I2 = 76%), and the random effects model was chosen to combine them. Meta-analysis showed that, except for Rittweger's study [20], the pain index scores in the VT group were significantly lower than those in the control group [SMD = − 0.71, 95% CI (− 1.02, − 0.39), I2 = 76%, P < 0.0001]. Due to the high spatial requirements for lumbar extension in Rittweger's control group, the use of vibration therapy was more practical.

Fig. 4
figure 4

Forest plot of pain scores

Full size image

ODI scores

Eight RCTs were included in this study, which reported the ODI scores before and after treatment. However, due to the lack of a sexual function indicator, the ODI of Yuan's study [15] was excluded. Only seven RCTs [16,17,18, 21, 22, 25, 26] were included for meta-analysis. Figure 5 gives the effect of vibration therapy on ODI scores in CLBP patients with a total of 390 cases. The heterogeneity of the seven studies was considerable (I2 = 88%); therefore, a random effects model was used for analysis. Meta-analysis showed that ODI scores in the VT group were significantly lower than those in the control group [MD = − 4.24, 95% CI (− 8.10, − 0.38), I2 = 88%, P = 0.03].

Fig. 5
figure 5

Forest plot of ODI scores

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RMDQ scores

Three RCTs [17, 21, 23] reporting RMDQ scores before and after treatment were included in this study. The impact of VT on RMDQ scores in a total of 139 CLBP patients is shown in Fig. 6. There was no heterogeneity in the three RCTs (I2 = 0%). Therefore, a fixed-effect model was selected for analysis. Meta-analysis showed that the RMDQ scores in the VT group were significantly lower than those in the control group [MD = − 2.21, 95% CI (− 3.41, − 1.01), I2 = 0%, P = 0.0003].

Fig. 6
figure 6

Forest plot of RMDQ scores

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Subgroup analysis

Pain scores

The eleven included RCTs that reported VAS or NRS scores in people with CLBP were separated into two groups according to vibration mode: whole-body vibration group [13, 17,18,19,20, 24, 25] and local vibration group [14,15,16, 22].

This study showed that the pain intensity index of the whole-body vibration group was significantly lower than that of the control group [SMD = − 0.49, 95% CI (− 0.79, − 0.19), I2 = 58%, P = 0.001], with a significant difference.

Heterogeneity among the findings was considerable in the local vibration group (I2 = 76%). Meta-analysis showed that the pain intensity index was significantly lower in the local vibration group than in the control group [SMD = − 1.07, 95% CI (− 1.60, − 0.53), I2 = 76%, P < 0.0001], and the difference was statistically significant.

We conducted the leave-one-out method on the WBV and LV groups, respectively, to explore the sources of heterogeneity. The results showed that excluding Micke's study [24] in the WBV group reduced heterogeneity to 42% (P = 0.0002). However, deleting Yuan's study [15] in the LV group can only reduce I2 to 75% (P < 0.0001) (Fig. 7).

Fig. 7
figure 7

Subgroup analysis of pain scores

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ODI scores

The seven included RCTs that reported ODI scores in CLBP patients were separated into two groups according to vibration mode: whole-body vibration group [17, 18, 21, 25, 26] and local vibration group [16, 22].

The heterogeneity among the findings was moderate in the whole-body vibration group (I2 = 36%). This study showed that the ODI scores in the whole-body vibration group were significantly lower than that in the control group [MD = − 3.30, 95% CI (− 5.76, − 0.83), I2 = 36%, P = 0.009], and the difference was statistically significant.

Heterogeneity among the findings was considerable in the local vibration group (I2 = 97%), and meta-analysis showed that there was no statistically significant difference in the ODI scores of the local vibration group compared with the control group [MD = − 5.78, 95% CI (− 16.23,4.66), I2 = 97%, P = 0.28]. This suggests that local vibration therapy may not be able to significantly improve lumbar function in patients with CLBP (Fig. 8).

Fig. 8
figure 8

Subgroup analysis of ODI scores

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Publication bias

We assessed the publication bias among the included studies on the pain intensity index by the funnel plot and Egger's test. The funnel plot showed a basically symmetrical scatter point, with Egger's test P = 0.354, indicating no significant publication bias in the included studies. Therefore, the systematic review results were credible (Fig. 9).

Fig. 9
figure 9

Funnel plot of pain scores

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Discussion

LBP is one of the most common health problems among adults. Within 3 months, myorelaxants, nonsteroid anti-inflammatory drugs (NSAIDs), and NSAIDs with paracetamol can effectively reduce pain and disability in patients [28]. After 3 months, it can develop into CLBP. There are various treatment modalities for CLBP at present. The previous studies have shown that baclofen, duloxetine, NSAIDs, opiates, etc., improved symptoms in patients with CLBP [29,30,31]. Among them, selective NSAIDs are the most effective non-opioid drugs for the treatment of CLBP [32]. In addition, dextrose prolotherapy and acupuncture may also achieve certain therapeutic effects [33, 34]. The literature in this study includes treatment with oral medication, core muscle training, herbal fumigation therapy, ultrashort wave therapy, lumbar spine stretching exercises, and suspension training in the control group. In the VT group that included vibration therapy, patients' VAS, NRS, ODI, and RMDQ scores decreased significantly, and there were no serious complications, which quantitatively proved that vibration therapy can effectively relieve pain and improve lumbar dysfunction in patients with CLBP. In this study, the results of the pain intensity index and ODI score showed heterogeneity. Subsequent subgroup analysis showed that age, duration of intervention, and vibration pattern were not the causes of heterogeneity, and it was speculated that the etiology of heterogeneity may be related to the subjects included in the study, the treatment regimen received, etc. Subgroup analyses were conducted for the pain intensity index and ODI scores within the outcome indicators, with grouping based on both vibration modalities. The results showed that both whole-body vibration therapy and local vibration therapy improved patients' low back pain. In terms of improvement of lumbar dysfunction, the whole-body vibration group was superior to the control group. The difference between the local vibration group and the control group was not statistically significant, which could be related to the relatively small sample sizes in the included RCTs. Compared with local vibration therapy, whole-body vibration therapy has a wider application. Whole-body vibration therapy involves having the subject stand on a platform, vibrate at a predetermined frequency and amplitude, which is subsequently transmitted throughout the body. Whole-body vibration therapy has been used clinically in the rehabilitation of knee osteoarthritis [35], stroke [36], and cerebral palsy [37], among others. Whole-body vibration therapy for CLBP has many advantages. Firstly, some studies [38,39,40,41] have shown that WBV can significantly activate trunk muscle fibers and improve trunk muscle strength, which is helpful in the prevention and treatment of CLBP. Secondly, WBV can relax the lower back muscles to relieve pain [42]. Third, WBV can improve proprioceptive function by activating proprioceptors. This leads to better improvement of spinal dysfunction and instability in patients with CLBP [43, 44]. Local vibration can also be beneficial in the treatment of CLBP, including the use of an automated mechanical device [45] to deliver local mechanical vibration directly or indirectly to the muscles or tendons and joints of the body. It can enhance proprioception as well as whole-body vibration therapy, improve the elasticity and mobility of local ligaments and tendons, promote the circulation of blood and lymphatic fluids around synovial joints, facilitate the secretion and flow of synovial fluid, and reduce joint capsule swelling and contracture [46]. The same beneficial effects also exist in the treatment of CLBP.

However, we still need to carefully explain the results of this study. Firstly, regarding the parameter settings of vibration therapy, some studies have reported that vibration close to the resonant frequency of the human body can cause damage to the spine [47] and that exposure to whole-body vibration in the work environment may lead to low back pain [48]. Kim et al. [49] also concluded that there is a very strong correlation between irregular vibration and musculoskeletal disorders, especially the occurrence of LBP. But this is not contradictory to the conclusion of this study. The therapeutic effect of vibration therapy is influenced by the frequency and amplitude of vibration. For the treatment of LBP with vibration therapy, how to choose the best vibration parameters is not clear, although irregular whole-body vibration can induce LBP. Secondly, the results of this study, although significant, do not appear to reach the levels of clinical relevance suggested by Maughan and Lewis [50]. According to their study, the following values represent the least clinically significant difference in CLBP: a mean difference of 2.4 in pain intensity on a scale of 0–10, a mean difference of 17 in ODI, and a mean difference of 5 in RMDQ. More large-sample, rigorously designed RCTs are needed to validate the efficacy of vibration therapy in patients with CLBP in the future.

Limitations of this paper: ① The amount of the literature included was limited, and the sample size included was small. ② The included studies varied widely in treatment methods and were not analyzed based on parameters such as vibration frequency and vibration amplitude, which may compromise the evaluation results. ③ There was a large degree of heterogeneity among the RCTs included in the combined analysis of pain intensity index scores and ODI in patients with CLBP. ④ Many of the RCTs included in this study lacked post-treatment follow-up and did not evaluate whether or not the efficacy was durable. ⑤ This study did not conduct a sensitivity analysis based on the risk of bias.

Conclusion

The available evidence suggests that vibration therapy can alleviate pain and improve function in patients with CLBP. However, we still need to carefully interpret the results of this study, as the certainty of evidence was low, and the clinical relevance of the results is questionable. Further RCTs are needed in the future to ascertain this.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

VT:

Vibration therapy

LV:

Local vibration

WBV:

Whole-body vibration

RCTs:

Randomized controlled trials

CLBP:

Chronic low back pain

VAS:

Visual analog scale

NRS:

Numerical rating scale

ODI:

Oswestry disability index

RMDQ:

Roland–Morris disability questionnaire

SMD:

Standardized mean difference

MD:

Mean difference

SD:

Standard deviation

CI:

Confidence interval

NSAIDs:

Nonsteroid anti-inflammatory drugs

References

  1. Andersen JC. Is immediate imaging important in managing low back pain? J Athl Train. 2011;46(1):99–102.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Chou R, Huffman LH, American Pain Society, American College of Physicians. Nonpharmacologic therapies for acute and CLBP: a review of the evidence for an American Pain Society/American College of Physicians clinical practice guideline. Ann Intern Med. 2007; 147(7): 492–504.

  3. Hashemi L, Webster BS, Clancy EA, Volinn E. Length of disability and cost of workers’: compensation low back pain claims. J Occup Environ Med. 1997;39(10):937–45.

    CAS  PubMed  Google Scholar 

  4. Foster NE, Anema JR, Cherkin D, Chou R, Cohen SP, Gross DP, Ferreira PH, Fritz JM, Koes BW, Peul W, et al. Prevention and treatment of low back pain: evidence, challenges, and promising directions. Lancet. 2018;391(10137):2368–83.

    PubMed  Google Scholar 

  5. Zhang L, Weng CS. Advance in whole-body vibration in aging adults (review). Chin J Rehabil Theory Pract. 2015;21(2):163–7.

    CAS  Google Scholar 

  6. Wang W, Wang S, Lin W, Li X, Andersen LL, Wang Y. Efficacy of whole body vibration therapy on pain and functional ability in people with non-specific low back pain: a systematic review. BMC Complement Med Ther. 2020;20(1):158.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Zheng YL, Zhang ZJ, Peng MS, Hu HY, Zhang J, Wang XQ. Whole-body vibration exercise for low back pain: a meta-analysis protocol of randomized controlled trial. Medicine (Baltimore). 2018;97(38):e12534.

    PubMed  Google Scholar 

  8. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

    PubMed  PubMed Central  Google Scholar 

  9. Page MJ, Moher D, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372:n160.

    PubMed  PubMed Central  Google Scholar 

  10. Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA. Cochrane handbook for systematic reviews of interventions version 6.2. London, United Kingdom: The Cochrane Collaboration (2021).

  11. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions, vol. 5. Chichester: Wiley-Blackwell; 2008.

    Google Scholar 

  12. Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, Norris S, Falck-Ytter Y, Glasziou P, DeBeer H, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011;64(4):383–94.

    PubMed  Google Scholar 

  13. Chen GX, Wang GR, Li GS, Lin ZJ, Zeng QD. Effect of low-intensity combined vibration and alendronic acid sodium on CLBP in postmenopausal women. Chin J Gerontol (Electron Vers). 2017;37(23):5906–8.

    CAS  Google Scholar 

  14. Zhang QM, Bao SR, Shan SR, Zhong ZL, Liu CL. Effect of deep muscle stimulation on muscle tone and stiffness of erector spinaes in patients with chronic nonspecific low back pain: a digital muscle testing. Chin J Tissue Eng Res. 2023;27(8):1250–6.

    Google Scholar 

  15. Yuan S, Gao F, Liu F, Chen ZK, Li MY, Wang JH. Study on the therapeutic effect of local vibration therapy on chronic non-specific low back pain. Chin J Rehabil. 2018;33(3):234–6.

    Google Scholar 

  16. Chen J, Li JB, Gu MX, Tang R, Lu J. Effect of deep muscle stimulation on psoas surface electromyography and spatiotemporal and kinetic gait parameters in patients with chronic non-specific low back pain. Chin J Tissue Eng Res. 2022;26(18):2894–9.

    Google Scholar 

  17. del Pozo-Cruz B, Hernández Mocholí MA, Adsuar JC, Parraca JA, Muro I, Gusi N. Effects of whole body vibration therapy on main outcome measures for chronic non-specific low back pain: a single-blind randomized controlled trial. J Rehabil Med. 2011;43(8):689–94.

    PubMed  Google Scholar 

  18. Wang XQ, Gu W, Chen BL, Wang X, Hu HY, Zheng YL, Zhang J, Zhang HY, Chen PJ. Effects of whole-body vibration exercise for non-specific CLBP: an assessor-blind, randomized controlled trial. Clin Rehabil. 2019;33(9):1445–57.

    PubMed  Google Scholar 

  19. Jung KS, Jung JH, In TS, Cho HY. The effectiveness of trunk stabilization exercise combined with vibration for adolescent patients with nonspecific low back pain. Int J Environ Res Public Health. 2020;17(19):7024.

    PubMed  PubMed Central  Google Scholar 

  20. Rittweger J, Just K, Kautzsch K, Reeg P, Felsenberg D. Treatment of chronic lower back pain with lumbar extension and whole-body vibration exercise: a randomized controlled trial. Spine (Phila Pa 1976). 2002;27(17):1829–34.

    PubMed  Google Scholar 

  21. Kaeding TS, Karch A, Schwarz R, Flor T, Wittke TC, Kück M, Böselt G, Tegtbur U, Stein L. Whole-body vibration training as a workplace-based sports activity for employees with chronic low-back pain. Scand J Med Sci Sports. 2017;27(12):2027–39.

    CAS  PubMed  Google Scholar 

  22. Kim S, Salazar Fajardo JC, Kim M, Yoon B. Immediate effect of sling exercises combined with mechanic vibration and oscillation mobilization in chronic nonspecific low back pain patients: a randomized controlled trial. Disabil Rehabil. 2022. https://doi.org/10.1080/09638288.2022.2152877.

    Article  PubMed  Google Scholar 

  23. Karacay BC, Sahbaz T, Gurtekin B, Yildiz S, Ozcan E. Effectiveness of whole-body vibration exercise and core stabilization exercise in chronic non-specific low back pain: a randomized-controlled study. Turk J Phys Med Rehab. 2022;68(2):184–94.

    Google Scholar 

  24. Micke F, Weissenfels A, Wirtz N, von Stengel S, Dörmann U, Kohl M, Kleinöder H, Donath L, Kemmler W. Similar pain intensity reductions and trunk strength improvements following whole-body electromyostimulation vs. whole-body vibration vs. conventional back-strengthening training in chronic non-specific low back pain patients: a three-armed randomized controlled trial. Front Physiol. 2021;12:664991.

    PubMed  PubMed Central  Google Scholar 

  25. Yang J, Seo D. The effects of whole body vibration on static balance, spinal curvature, pain, and disability of patients with low back pain. J Phys Ther Sci. 2015;27(3):805–8.

    PubMed  PubMed Central  Google Scholar 

  26. Wegener V, Rarack S, Tiffe T, Grill E, Melcher C, Birkenmaier C, Jansson V, Wegener B. Effects of whole body vibration therapy and classic physiotherapy on postural stability in people with back pain: a randomized trial. Clin Spine Surg. 2019;32(4):E214–20.

    PubMed  Google Scholar 

  27. Hayden JA, Ellis J, Ogilvie R, Malmivaara A, van Tulder MW. Exercise therapy for chronic low back pain. Cochrane Database Syst Rev. 2021;9(9):CD009790.

    PubMed  Google Scholar 

  28. Baroncini A, Maffulli N, Al-Zyoud H, Bell A, Sevic A, Migliorini F. Nonopioid pharmacological management of acute low back pain: A level I of evidence systematic review. J Orthop Res. 2023;41(8):1781–91.

    PubMed  Google Scholar 

  29. Migliorini F, Maffulli N, Eschweiler J, Betsch M, Catalano G, Driessen A, Tingart M, Baroncini A. The pharmacological management of chronic lower back pain. Expert Opin Pharmacother. 2021;22(1):109–19.

    CAS  PubMed  Google Scholar 

  30. Baroncini A, Maffulli N, Eschweiler J, Knobe M, Tingart M, Migliorini F. Management of facet joints osteoarthritis associated with chronic low back pain: a systematic review. Surgeon. 2021;19(6):e512–8.

    PubMed  Google Scholar 

  31. Migliorini F, Maffulli N. Choosing the appropriate pharmacotherapy for nonspecific chronic low back pain. J Orthop Surg Res. 2022;17(1):556.

    PubMed  PubMed Central  Google Scholar 

  32. Migliorini F, Maffulli N, Eschweiler J, Tingart M, Baroncini A. Non-steroidal anti-inflammatory drugs and gabapentinoids for chronic lumbar pain: a Bayesian network meta-analysis of randomized controlled trials. Br Med Bull. 2021;138(1):85–95.

    CAS  PubMed  Google Scholar 

  33. Giordano L, Murrell WD, Maffulli N. Prolotherapy for chronic low back pain: a review of literature. Br Med Bull. 2021;138(1):96–111.

    CAS  PubMed  Google Scholar 

  34. Baroncini A, Maffulli N, Eschweiler J, Molsberger F, Klimuch A, Migliorini F. Acupuncture in chronic aspecific low back pain: a Bayesian network meta-analysis. J Orthop Surg Res. 2022;17(1):319.

    PubMed  PubMed Central  Google Scholar 

  35. Liu H, Ye S. Effect of vibration training with different frequencies on lower limb muscle strength and symptoms of knee osteoarthritis in old adults. Chin J Rehabil Theory Pract. 2020;26(8):947–54.

    Google Scholar 

  36. Jin ZH, Chen L, Ye XM. Effect of whole body vibration on abilities of lower extremities for stroke patients. Chin J Rehabil Theory Pract. 2019;25(3):347–51.

    Google Scholar 

  37. Wang YT, Song BB, Zhao D, Bai KX. Health and functional outcome of whole body vibration for children and adolescents with cerebral palsy: a systematic review using WHO-FICs. Chin J Rehabil Theory Pract. 2023;29(1):55–63.

    CAS  Google Scholar 

  38. Ye J, Ng G, Yuen K. Acute effects of whole-body vibration on trunk muscle functioning in young healthy adults. J Strength Cond Res. 2014;28(10):2872–9.

    PubMed  Google Scholar 

  39. Maeda N, Urabe Y, Sasadai J, Miyamoto A, Murakami M, Kato J. Effect of whole-body-vibration training on trunk-muscle strength and physical performance in healthy adults: preliminary results of a randomized controlled trial. J Sport Rehabil. 2016;25(4):357–63.

    PubMed  Google Scholar 

  40. Marin PJ, Hazell TJ. Effects of whole-body vibration with an unstable surface on muscle activation. J Musculoskelet Neuronal Interact. 2014;14(2):213–9.

    CAS  PubMed  Google Scholar 

  41. Dong Y, Wang H, Zhu Y, Chen B, Zheng Y, Liu X, Qiao J, Wang X. Effects of whole body vibration exercise on lumbar-abdominal muscles activation for patients with CLBP. BMC Sports Sci Med Rehabil. 2020;12(1):78.

    PubMed  PubMed Central  Google Scholar 

  42. Boucher JA, Abboud J, Dubois JD, Legault E, Descarreaux M, Henchoz Y. Trunk neuromuscular responses to a single whole-body vibration session in patients with CLBP: a cross-sectional study. J Manip Physiol Ther. 2013;36:564–71.

    Google Scholar 

  43. Belavý DL, Armbrecht G, Gast U, Richardson CA, Hides JA, Felsenberg D. Countermeasures against lumbar spine deconditioning in prolonged bed rest: resistive exercise with and without whole body vibration. J Appl Physiol. 2010;109:1801–11.

    PubMed  Google Scholar 

  44. Stewart VH, Saunders DH, Greig CA. Responsiveness of muscle size and strength to physical training in very elderly people: a systematic review. Scand J Med Sci Sports. 2014;24(1):e1–10.

    CAS  PubMed  Google Scholar 

  45. Germann D, El Bouse A, Shnier J, Abdelkader N, Kazemi M. Effects of local vibration therapy on various performance parameters: a narrative literature review. J Can Chiropr Assoc. 2018;62(3):170–81.

    PubMed  PubMed Central  Google Scholar 

  46. Wang Y. Study on the mechanism of mechanical vibration therapy. Chin J Phys Med Rehabil. 2002;24(8):504–5.

    Google Scholar 

  47. Zhang C, Guo LX. Effect of whole-body vibration at different frequencies on the lumbar spine: a finite element study based on a whole human body model. Proc Inst Mech Eng H. 2022;236(12):1752–61.

    PubMed  Google Scholar 

  48. Burström L, Nilsson T, Wahlström J. Whole-body vibration and the risk of low back pain and sciatica: a systematic review and meta-analysis. Int Arch Occup Environ Health. 2015;88(4):403–18.

    PubMed  Google Scholar 

  49. Kim JH, Zigman M, Aulck LS, Ibbotson JA, Dennerlein JT, Johnson PW. Whole body vibration exposures and health status among professional truck drivers: a cross-sectional analysis. Ann Occup Hyg. 2016;60(8):936–48.

    PubMed  Google Scholar 

  50. Maughan EF, Lewis JS. Outcome measures in CLBP. Eur Spine J. 2010;19(9):1484–94.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This work was supported by the National Chinese Medicine Master Li Yefu studio, the scientific research project of the Health Commission of Anhui Province (Grant number AHWJ2021b052), and the research project of Anhui University of Chinese Medicine (Grant number 2021sfylc34).

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Authors and Affiliations

  1. School of Acupuncture and Massage, Anhui University of Chinese Medicine, No.103 Meishan Road, Shushan District, Hefei, 230038, Anhui, People’s Republic of China

    Qiang Li & Xin Li

  2. Anhui Provincial Hospital of Integrated Chinese and Western Medicine (The Third Affiliated Hospital of Anhui University of Chinese Medicine), No. 45 Shihe Road, Shushan District, Hefei, 230031, Anhui, People’s Republic of China

    Pan Liu & Zongbao Wang

  3. Shuguang Anhui Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 45 Shihe Road, Shushan District, Hefei, 230031, Anhui, People’s Republic of China

    Pan Liu & Zongbao Wang

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  1. Qiang Li
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  2. Pan Liu
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  4. Xin Li
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Contributions

QL, PL, and ZBW conceived and designed the study. QL and PL searched and selected relevant studies. QL and PL extracted and interpreted data. QL and PL analyzed the data. QL and PL wrote the paper. QL, XL, and ZBW revised the manuscript. All authors read and approved the final manuscript.

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Correspondence to Zongbao Wang.

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Li, Q., Liu, P., Wang, Z. et al. Vibration therapy to improve pain and function in patients with chronic low back pain: a systematic review and meta-analysis. J Orthop Surg Res 18, 727 (2023). https://doi.org/10.1186/s13018-023-04217-2

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Keywords

Journal of Orthopaedic Surgery and Research

ISSN: 1749-799X