Vol 8, No 3 (2023)
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The effect of kinesiotherapy supported by visual biofeedback on a stabilometric platform on health-related quality of life among patients with non-specific low back pain. A randomized, open-label study with a 6-month follow-up

Anna Kałużna1, Krystian Kałużny2, Małgorzata Pyskir1, Agata Staniewska3, Magdalena Hagner-Derengowska4, Jacek Budzyński3
Medical Research Journal 2023;8(3):216-225.

Abstract

Introduction: Non-specific low back pain (NSLBP) influences health-related quality of life (HRQoL) in a significant number of people. This study aimed to evaluate the effect of two rehabilitation programs, kinesiotherapy combined with visual biofeedback on a stabilometric platform and kinesiotherapy alone, on HRQoL during a 6-month follow-up.

Material and methods: The study was performed using a randomized open-label design with a 6-month follow-up. Forty-nine patients with NSLBP were assigned to the study group (SG) and treated with kinesiotherapy supported by visual feedback on a stabilometric platform (TecnoBody ST 310 Plus), and 51 patients to the control group (CG) and treated with kinesiotherapy alone. HRQoL was evaluated using the SF-36v2 Health Survey Standard Polish Version 1.0 9/02 (SF-36).

Results: Compared to those in the CG, SG patients achieved greater improvement in physical HRQoL domain scores. This effect was lower in patients with initially greater NSLBP intensity (numeric rating scale [NRS] ≥ 7), and with a higher number of NSLBP recurrences (≥ 3) during the follow-up. The recurrence of NSLBP influenced not only the physical but also the mental health domains of the SF-36 Survey.

Conclusions: Compared to NSLBP patients who underwent kinesiotherapy alone, those who were treated with kinesiotherapy supported by visual feedback on a stabilometric platform achieved a greater improvement in HRQoL domain scores by the end of the 6-month follow-up. The level of HRQoL improvement was related to the initial severity of NSLBP and the number of NSLBP recurrences, which should be considered when assessing the effectiveness of NSLBP treatment.

ORIGINAL ARTICLE

Medical Research Journal 2023;

Volume 8, Number 3, 216–225

10.5603/MRJ.a2023.0035

Copyright © 2023 Via Medica

ISSN 2451-2591

e-ISSN 2451-4101

The effect of kinesiotherapy supported by visual biofeedback on a stabilometric platform on health-related quality of life among patients with non-specific low back pain. A randomized, open-label study with a 6-month follow-up

Anna Kałużna1Krystian Kałużny2Małgorzata Pyskir1Agata Staniewska3Magdalena Hagner-Derengowska4Jacek Budzyński3
1Department of Rehabilitation, Nicolaus Copernicus University in Torun, Poland; Ludwik Rydygier Collegium Medicum in Bydgoszcz, Poland
2Ward of Rehabilitation, Kuyavian-Pomeranian Centre of Pulmonology in Bydgoszcz, Poland
3Department of Vascular and Internal Diseases, Nicolaus Copernicus University in Torun, Poland; Ludwik Rydygier Collegium Medicum in Bydgoszcz, Poland
4Department of Physical Culture, Faculty of Earth Sciences and Spatial Management, Nicolaus Copernicus University in Torun, Poland

Corresponding author:

Jacek Budzyński, MD, PhD,Department of Angiology, Jan Biziel University Hospital No. 2 in Bydgoszcz, 75 Ujejskiego St., 85–168 Bydgoszcz, Poland; e-mail: jb112233@cm.umk.pl

ABSTRACT

Introduction: Non-specific low back pain (NSLBP) influences health-related quality of life (HRQoL) in a significant number of people. This study aimed to evaluate the effect of two rehabilitation programs, kinesiotherapy combined with visual biofeedback on a stabilometric platform and kinesiotherapy alone, on HRQoL during a 6-month follow-up.

Material and methods: The study was performed using a randomized open-label design with a 6-month follow-up. Forty-nine patients with NSLBP were assigned to the study group (SG) and treated with kinesiotherapy supported by visual feedback on a stabilometric platform (TecnoBody ST 310 Plus), and 51 patients to the control group (CG) and treated with kinesiotherapy alone. HRQoL was evaluated using the SF-36v2 Health Survey Standard Polish Version 1.0 9/02 (SF-36).

Results: Compared to those in the CG, SG patients achieved greater improvement in physical HRQoL domain scores. This effect was lower in patients with initially greater NSLBP intensity (numeric rating scale [NRS] 7), and with a higher number of NSLBP recurrences ( 3) during the follow-up. The recurrence of NSLBP influenced not only the physical but also the mental health domains of the SF-36 Survey.

Conclusions: Compared to NSLBP patients who underwent kinesiotherapy alone, those who were treated with kinesiotherapy supported by visual feedback on a stabilometric platform achieved a greater improvement in HRQoL domain scores by the end of the 6-month follow-up. The level of HRQoL improvement was related to the initial severity of NSLBP and the number of NSLBP recurrences, which should be considered when assessing the effectiveness of NSLBP treatment.

Keywords: chronic non-specific low back pain, health-related quality of life, stabilometric platform, visual feedback, postural control, randomized control trial

Med Res J 2023; 8 (3): 216–225

Introduction

Chronic non-specific low back pain (NSLBP) is an important socioeconomic and healthcare problem, as it is one of the leading causes of disability worldwide. It is defined as pain below the costal margin and above the inferior gluteal folds, lasting at least 8 weeks [1]. Numerous pharmacological (e.g., NSAIDs, opioids, paracetamol, anti-depressants, and muscle relaxants), non-pharmacological (e.g., exercise, patient education, manual therapies, psychological therapies, multidisciplinary physiotherapeutic approaches, massage, acupuncture, mindfulness, and whole-body vibration) and invasive and non-invasive methods of treatment are available. However, the diversity of the outcomes measured, inadequate descriptions of methodology and the poor reporting of interventions, as well as a low number of high-quality randomized controlled trials on chronic NSLBP treatment, make it difficult to compare the effectiveness and safety of NSLBP therapeutic methods [2–10]. The following endpoints for evaluating the effectiveness of NSLBP therapy are commonly measured: severity of disability, pain, work productivity, and healthcare utilization [3, 11]. Changes in health-related quality of life (HRQoL) domain scores as indications of the effectiveness of treatment among NSLBP patients are rarely reported in the literature, despite HRQoL surveys, which estimate patients’ suffering and physical and psychological functioning, being considered among the targets to be prioritized in NSLBP therapy [3, 12].

General HRQoL is measured in patients with NSLBP mainly by using a 12- or 36-item Short Form Health Survey version 2 (SF-12; SF-36) questionnaire. HRQoL domain scores have been found to improve after the following: 5 weeks of massage therapy, therapeutic exercise, and a therapeutic education program [13]; therapeutic ultrasound in addition to exercise [2]; minimally invasive treatment [6]; invasive laser acupuncture [14]; negative pulsed-pressure myofascial vacuum therapy [15]; photobiomodulation therapy using low-intensity Light Amplification by Stimulated Emission of Radiation (LASER) and light-emitting diodes [16]; continuous, low-level heat therapy [17]; Medi-Taping [18]; low-energy pulsed electromagnetic signals therapy [19]; pulsed electromagnetic field therapy [20]; exercises on a Pilates mat and home exercise programs [21]; traditional Thai self-massage combined with home stretching exercises [22]; whole-body vibration [23]; and mountain hiking combined with Mg-Ca-SO4 spa therapy [24]. Moreover, core stability exercises (CSE) combined with self-compassion training were more effective for patients with non-specific chronic low back pain compared to CSE alone [25]. Similarly, the following showed greater improvement in HRQoL for patients with NSLBP when compared to a control/comparison group: unsupervised home intervention (McKenzie exercises and electroanalgesia) supported by an individualized video exercise program (via an e-Health program) compared to the same program with printed instructions [26]; Fu’s subcutaneous needling compared to massage therapy [27]; core stability exercises compared to rest or no/minimal intervention as well as in combination with other types of exercise [28]; Feldenkrais method intervention (2 sessions per week for 5 weeks) compared to an educational program and home-based core stability exercises for 5 weeks [29]; and stretching or strengthening exercise therapy compared to those in a ‘Sham’ group (receiving only gentle palpation of the skin) [30]. In a study by Michalsen et al. [31], when compared to the ‘gold standard’ of conventional physiotherapeutic exercises, eurythmy and yoga therapies led to comparable HRQoL improvement in patients with chronic NSLBP, although the results of this study were limited due to the small sample size of the three therapeutic arms. In contrast, in a study by Almeida Silva et al. [32], dry cupping therapy was not found to be superior to sham cu-pping for improving HRQoL, pain, physical function, mobility, psychological symptoms or medication use in patients with NSLBP, and in another study, Matarán-Peñarrocha et al. [33] found that supervised and non-supervised exercise showed similar improvement in HRQoL in both the short- and long-term follow-up of patients with NSLBP. Similar observations were made by Kanas et al. [34], who reported that weekly supervision did not have a significant influence on the final improvement in HRQoL compared to a single supervised exercise session with the continuation of a rehabilitation program at home. Some new trials evaluating HRQoL are planned in patients with NSLBP [35, 36].

In the randomized, open-label study with a 6-month follow-up, the authors co mpare the effect on HRQoL of kinesiotherapy supported by visual biofeedback on a stabilometric platform with standard kinesiotherapy alone among patients with chronic NSLBP. To the best of their knowledge, this study is the first to assess this new physiotherapeutic technique for NSLBP treatment, which relies on the addition of postural balance exercises to standard kinesiotherapy, over kinesiotherapy alone.

Material and methods

Patients

One hundred consecutive patients referred to the Rehabilitation Clinic at the study University Hospital due to NSLBP lasting for at least 12 weeks were enrolled on the study. The following exclusion criteria were used: (a) age below 30 and above 50 years; (b) diseases of the nervous system affecting balance (e.g., stroke, cerebellar stroke, cerebellar ataxia or labyrinth disorders); (c) history of leg amputation; and (d) chronic use of opioids. Patients were recruited for the study between January 1, 2017 and June 30, 2018.

Methodology

A randomized open-label trial with a 6-month follow-up was designed. After the patients’ enrolment, they were randomly assigned to one of two study groups by permuted block randomization (5:5). Patients in the study group were referred for kinesiotherapy supported by visual feedback on a stabilometric platform (TecnoBody ST 310 Plus), and patients in the control group were treated with kinesiotherapy alone (described below). The following were performed for all patients recruited to the study: medical history, physical examination, and analysis of up-to-date imaging undertaken to ensure that the patient had no structural abnormalities of the spine (the main criterion for NSLBP diagnosis). The following scores were also obtained: low back pain intensity [estimated using a numeric rating scale (NRS)] and the standard Oswestry Disability Index (ODI), which measures a patient’s functional disability [37]. A flowchart (based on a CONSORT diagram) showing the participants at each stage of the project is presented in Figure 1.

Figure 1. Statistically significant stronger effect of kine-siotherapy supported by visual feedback on a stabilometric platform on Health transition (HT) score compared to kinesiotherapy alone
Intervention

Kinesiotherapy was conducted daily (Monday-Friday) for both study groups by the same physiotherapist for 2 weeks (amounting to 10 sessions, each lasting 60 minutes). Each session consisted of a warm-up (10 minutes), general exercises (20 minutes), balance exercises on a stabilometric platform (TecnoBody ST 310 Plus) for the study group or on a rehabilitation mat for the control group (20 minutes), and relaxation (10 minutes). In addition to their kinesiotherapy, patients in the study group also performed exercises that included visual feedback on the TecnoBody stabilometric platform.

HRQoL measurement

Each subject was asked to complete the SF-36v2 Health Survey Standard Polish Version 1.0 9/02 for standard recall (license number: QM037864). This questionnaire is the most frequently used survey for evaluating general HRQoL, including research concerning NSLBP [2–36]. The subjects’ original responses to the questions in the SF-36 questionnaire were re-co-ded using scoring algorithms to values between 0 and 100 and then, following the instructions, these values were averaged to form the eight scales: physical functioning (PF), role limitation due to physical health (RP), bodily pain (BP), general health perception (GH), vitality (VT), social functioning (SF), role limitation due to emotional problems (RE), and mental health (MH)/emotional well-being. Three summarized measures were calculated: first, the total average SF-36 Survey score, which was the sum of all the health-related scores; second, the physical component summary (PCS), which was the sum of physical functioning (PF), role limitation due to physical health (RP), bodily pain (BP), health transition (HT), and general health perception (GH) scale scores; and third, the mental component summary (MCS), which was the sum of the energy/fatigue (vitality; VT), social functioning (SF), role limitation due to emotional problems (RE) and mental health (MH) scale scores.

Measured outcomes

Three control visits were performed: at the beginning of the study; at the end of 2 weeks of physiotherapy; and during a 6-month follow-up visit after the rehabilitation procedures were completed. The following parameters were measured during each visit: low back pain intensity (NRS), ODI score, and SF-36 Survey score. In addition, the number of low back pain recurrences since the end of the rehabilitation sessions was noted at the 6-month follow-up visit.

Bioethics

The study was performed after receiving permission from the Bioethics Committee of Nicolaus Copernicus University in Ludwik Rydygier Collegium Medicum in Bydgoszcz (no. KB 706/2016 given on November 22, 2016). The study and data analysis were performed in accordance with the revised version of the Helsinki Declaration. Each patient signed a written informed consent form.

Statistical analysis

The results were presented as the mean ± standard deviation; median; interquartile range (IQR); or as a frequency (n, %) of the categorical variables (absolute and relative values). The statistical significance level was set at a p-value of < 0.05. The normal distribution of the study variables was analysed using the Kolmogorov-Smirnov test. The statistical significance of differences between groups was verified using the Student’s t-test and the Mann-Whitney U-test for the quantitative variables (for the parametric and non-parametric tests, respectively) and the Chi-square test for the qualitative variables. ANOVA with the Bonferroni post-hoc test was used to determine the statistical significance of changes in HRQoL scores between the respective visits during the follow-up period.

The sample size was calculated with the following assumptions: use of two-factorial ANOVA with three repetitions; 25% reduction in the severity of NSLBP between measurements in both therapeutic groups; 90% power (1-β); and α < ٠.٠٠٥. The calculated sample size was 35 for a single study group and 65 for interactions. On this basis, 100 participants were chosen (50 for each group) in case of patient dropout. Statistical analysis was conducted using the licensed ver-sion of the statistical analysis software STATISTICA version 13.1 (TIBCO Software, Inc., 2017).

Results

Clinical characteristics

Patients with chronic NSLBP who were randomly assigned to kinesiotherapy supported by visual feedback on a stabilometric platform were significantly older and taller than the patients treated with kinesiotherapy alone (Tab. 1). The other potential confounding factors differed between the groups but not significantly so. NSLBP patients who underwent the combined treatment had a significantly lower number of low back pain recurrences during the 6-month follow-up than patients treated with kinesiotherapy alone (Tab. 1).

Table 1. Clinical characteristics of the patients studied

Parameter

Kinesiotherapy with visual biofeedback

(n = 49)

Classic

kinesiotherapy alone

(n = 51)

P-value

Female gender [n, %]

36 (73.5)

40 (78.4)

0.566

Age [years]

39.57 ± 5.44

36.65 ± 5.21

0.007

Body weight [kg]

72.82 ± 16.57

69.55 ± 11.85

0.258

Height [m]

1.72 ± 0.09

1.68 ± 0.07

0.038

BMI [kg/m2]

24.50 ± 4.02

24.37 ± 2.89

0.853

NRS before beginning the training program (score)

6.84 ± 0.87

6.61 ± 0.85

0.188

ODI sum of scores before beginning the training program (score)

12.37 ± 3.35

11.90 ± 4.46

0.558

Number of NSLBP recurrences during the

6-month follow-up

2.41 ± 1.50

4.59 ± 2.35

< 0.001

NRS at 6-month visit (score)

2.20 ± 0.87

3.74 ± 1.48

< 0.001

ODI sum of scores at 6-month visit (score)

1.49 ± 2.12

4.96 ± 5.05

< 0.001

Comparison of the outcomes for the two treatment methods

Compared to the patients treated with kinesiotherapy alone, patients treated with kinesiotherapy supported by visual feedback on a stabilometric platform achieved higher scores in 6 of the 11 domains of the SF-36 Survey at their 6-month visit after finishing the rehabilitation program (Tab. 2). However, for changes in HRQoL scores between the respective visits during the follow-up period, the type of kinesiotherapy treatment was only significant for the health change (HT) domain and physical component summary (PCS) (Fig. 1 and 2, respectively).

Patients with a greater intensity of NSLBP (NRS 7) at the beginning of the study reported greater impairment on the physical component summary (PCS) and in 5 of the 11 SF-36 domains, both initially and directly after finishing the assigned rehabilitation program, compared to patients with a lower NSLBP intensity. However, at the 6-month follow-up, the majority of these differences were no longer apparent; only bodily pain (BP) and the physical component summary (PCS) showed significant differences (Tab. 3). Patients who had a lower number of back pain recurrences (< 3) during the 6-month follow-up compared to those for whom this symptom recurred at least three times had a significantly higher score in 10 of the 11 domains of the SF-36 Survey at the 6-month visit across both the physical and mental domains (Tab. 4).

Figure 2. Statistically significant stronger effect of kinesiotherapy supported by visual feedback on a stabilometric platform on physical scale score compared to kinesiotherapy alone

In the whole study group, the HRQoL scores 6 months after finishing the rehabilitation program correlated both with initial NSLBP severity [e.g., with bodily pain, BP (r = –0.25; p = 0.14); with the physical component summary, PCS (r = –0.24; p = 0.17)]; the initial sum of the ODI scores [with BP (r = –0.20, p = 0.047)]; and the number of pain recurrences [e.g., with initial BP (r = –0.63; p < 0.01); initial PCS (r = –0.54; p < 0.01)]. Further, a higher number of recurrence incidents explained 2940% of HRQoL variance 6 months after finishing a rehabilitation program. The stabilometric platform parameters obtained, such as the ellipse area measured with eyes open and eyes closed (mm2), stability index [limits of stability (LoS)], and Romberg index obtained at the beginning of the study did not correlate with the HRQoL domain scores at the 6-month follow-up visit (data not presented in detail).

Discussion

To the best of the authors’ knowledge, this work is the first worldwide to compare the improvement in HRQoL measured using the SF-36 questionnaire between patients undergoing kinesiotherapy supported by visual feedback on a stabilometric platform and kinesiotherapy alone during a 6-month follow-up. It was found that, compared to standard kinesiotherapy, the combined NSLBP therapy was associated not only with significantly lower NRS and ODI scores at the 6-month visit and a lower number of NSLBP recurrences during the 6-month follow-up (Tab. 1) but also with greater improvement in HRQoL physical component summary (PCS) scores (Tab. 2, Fig. 2). These effects were affected by initial NSLBP intensity (Tab. 3) and the number of NSLBP recurrences (Tab. 4), which explained 2940% of the patients’ HRQoL variance 6 months after finishing a kinesiotherapy program.

Table 2. Changes in SF-36 domain scores in the two study groups during the 6-month followup

SF-36 Survey domain (score)

Kinesiotherapy with visual biofeedback (n = 49)

Classic

kinesiotherapy alone (n = 51)

P-value

Before physiotherapy

Physical functioning (PF)

80.92 ± 7.27

81.37 ± 9.80

0.793

Role limitation due to physical health (RP)

54.59 ± 16.08

53.19 ± 16.41

0.666

Bodily pain (BP)

39.35 ± 9.09

39.67 ± 9.32

0.863

General health perception (GH)

59.08 ± 12.18

57.39 ± 14.18

0.525

Vitality (VT)

51.02 ± 9.23

52.57 ± 12.57

0.484

Social functioning (SF)

58.93 ± 15.52

60.54 ± 14.66

0.595

Role limitation due to emotional problems (RE)

82.48 ± 16.86

87.09 ± 16.53

0.171

Mental health (MH)/Emotional well-being

61.12 ± 10.96

61.76 ± 12.84

0.789

Health change (HT)

2.06 ± 0.75

2.18 ± 0.79

0.457

Physical component summary (PCS)

43.81 ± 4.41

43.12 ± 4.38

0.434

Mental component summary (MCS)

45.60 ± 5.55

46.97 ± 6.56

0.263

Directly after finishing a 10-day rehabilitation program

Physical functioning (PF)

80.92 ± 7.27

81.37 ± 9.80

0.793

Role limitation due to physical health (RP)

54.59 ± 16.08

53.19 ± 16.41

0.666

Bodily pain (BP)

39.35 ± 9.09

39.67 ± 9.32

0.863

General health perception (GH)

59.08 ± 12.18

57.39 ± 14.18

0.525

Vitality (VT)

51.02 ± 9.23

52.57 ± 12.57

0.484

Social functioning (SF)

58.93 ± 15.52

60.54 ± 14.66

0.595

Role limitation due to emotional problems (RE)

82.48 ± 16.86

87.09 ± 16.53

0.171

Mental health (MH)/Emotional well-being

61.12 ± 10.96

61.76 ± 12.84

0.789

Health change (HT)

2.06 ± 0.75

2.18 ± 0.79

0.457

Physical component summary (PCS)

43.81 ± 4.41

43.12 ± 4.38

0.434

Mental component summary (MCS)

45.60 ± 5.55

46.97 ± 6.56

0.263

6 months

Physical functioning (PF)

93.47 ± 6.71

91.27 ± 7.99

0.141

Role limitation due to physical health (RP)

78.44 ± 16.98

71.45 ± 16.50

0.039

Bodily pain (BP)

69.92 ± 15.39

55.69 ± 18.94

< 0.001

General health perception (GH)

77.61 ± 14.91

70.51 ± 17.45

0.031

Vitality (VT)

69.26 ± 13.55

66.91 ± 13.71

0.391

Social functioning (SF)

82.40 ± 12.22

77.21 ± 12.43

0.038

Role limitation due to emotional problems (RE)

85.71 ± 15.87

89.54 ± 14.42

0.209

Mental health (MH)/Emotional well-being

73.98 ± 13.27

72.94 ± 12.93

0.693

Health change (HT)

4.41 ± 0.64

3.47 ± 0.92

< 0.001

Physical component summary (PCS)

53.40 ± 4.78

49.29 ± 5.63

< 0.001

Mental component summary (MCS)

50.53 ± 6.58

51.25 ± 5.91

0.564

Table 3. Changes in SF-36 domain scores in the whole study group in relation to the initial intensity of non-specific low back pain expressed as an NRS score during the 6-month follow-up

SF-36 Survey domain (score)

NRS ≥ 7

(n = 64)

NRS < 7

(n = 36)

P-value

Before physiotherapy

Physical functioning (PF)

89.53 ± 4.15

92.22 ± 4.99

0.005

Role limitation due to physical health (RP)

66.89 ± 11.77

73.96 ± 14.21

0.009

Bodily pain (BP)

59.42 ± 10.72

66.17 ± 12.50

0.005

General health perception (GH)

69.16 ± 14.26

71.08 ± 15.01

0.526

Vitality (VT)

58.20 ± 8.83

63.02 ± 10.60

0.017

Social functioning (SF)

77.34 ± 11.33

78.13 ± 14.45

0.765

Role limitation due to emotional problems (RE)

92.06 ± 11.25

96.30 ± 5.79

0.038

Mental health (MH)/Emotional well-being

72.50 ± 10.12

74.17 ± 10.39

0.435

Health change (HT)

4.41 ± 0.79

4.22 ± 0.93

0.297

Physical component summary (PCS)

48.49 ± 3.27

50.44 ± 4.31

0.012

Mental component summary (MCS)

50.85 ± 4.63

51.84 ± 4.56

0.306

Directly after finishing a 10-day rehabilitation program

Physical functioning (PF)

89.53 ± 4.15

92.22 ± 4.99

0.005

Role limitation due to physical health (RP)

66.89 ± 11.77

73.96 ± 14.21

0.009

Bodily pain (BP)

59.42 ± 10.72

66.17 ± 12.50

0.005

General health perception (GH)

69.16 ± 14.26

71.08 ± 15.01

0.526

Vitality (VT)

58.20 ± 8.83

63.02 ± 10.60

0.017

Social functioning (SF)

77.34 ± 11.33

78.13 ± 14.45

0.765

Role limitation due to emotional problems (RE)

92.06 ± 11.25

96.30 ± 5.79

0.038

Mental health (MH)/Emotional well-being

72.50 ± 10.12

74.17 ± 10.39

0.435

Health change (HT)

4.41 ± 0.79

4.22 ± 0.93

0.297

Physical component summary (PCS)

48.49 ± 3.27

50.44 ± 4.31

0.012

Mental component summary (MCS)

50.85 ± 4.63

51.84 ± 4.56

0.306

6 months after finishing a rehabilitation program

Physical functioning (PF)

91.56 ± 7.23

93.75 ± 7.69

0.159

Role limitation due to physical health (RP)

72.46 ± 16.80

79.17 ± 16.77

0.058

Bodily pain (BP)

59.67 ± 16.47

67.97 ± 21.18

0.032

General health perception (GH)

71.89 ± 15.77

77.72 ± 17.48

0.091

Vitality (VT)

68.75 ± 12.84

66.84 ± 15.00

0.504

Social functioning (SF)

78.32 ± 11.19

82.29 ± 14.45

0.129

Role limitation due to emotional problems (RE)

85.94 ± 16.32

90.74 ± 12.56

0.130

Mental health (MH)/Emotional well-being

73.05 ± 12.43

74.17 ± 14.22

0.682

Health change (HT)

3.91 ± 0.95

3.97 ± 0.88

0.734

Physical component summary (PCS)

50.44 ± 5.01

52.85 ± 6.30

0.039

Mental component summary (MCS)

50.71 ± 5.81

51.22 ± 6.98

0.695

Table 4. Changes in SF-36 domain scores in the whole study group in relation to the number of low back pain recurrences during the 6-month follow-up

SF-36 Survey domain (score)

Number of NSLBP recurrences ≥ 3 (n = 57)

Number of NSLBP recurrences < 3 (n = 43)

P-value

Before physiotherapy

Physical functioning (PF)

81.84 ± 9.62

80.23 ± 7.07

0.356

Role limitation due to physical health (RP)

53.40 ± 15.58

54.51 ± 17.11

0.737

Bodily pain (BP)

38.47 ± 9.74

40.88 ± 8.24

0.194

General health perception (GH)

57.96 ± 14.15

58.56 ± 11.98

0.825

Vitality (VT)

51.43 ± 11.87

52.33 ± 9.93

0.688

Social functioning (SF)

59.65 ± 15.49

59.88 ± 14.58

0.939

Role limitation due to emotional problems (RE)

85.23 ± 16.59

84.30 ± 17.18

0.785

Mental health (MH)/Emotional well-being

60.44 ± 11.93

62.79 ± 11.87

0.330

Health change (HT)

2.07 ± 0.75

2.19 ± 0.79

0.459

Physical component summary (PCS)

43.43 ± 4.55

43.50 ± 4.22

0.935

Mental component summary (MCS)

46.06 ± 6.36

46.61 ± 5.78

0.658

Directly after finishing a 10-day rehabilitation program

Physical functioning (PF)

90.35 ± 5.50

90.70 ± 3.20

0.712

Role limitation due to physical health (RP)

67.98 ± 13.10

71.37 ± 12.96

0.202

Bodily pain (BP)

59.40 ± 11.02

65.09 ± 12.11

0.016

General health perception (GH)

68.21 ± 14.86

72.02 ± 13.86

0.194

Vitality (VT)

60.09 ± 10.55

59.74 ± 8.66

0.860

Social functioning (SF)

77.19 ± 12.97

78.20 ± 11.92

0.692

Role limitation due to emotional problems (RE)

92.84 ± 11.18

94.57 ± 7.69

0.384

Mental health (MH)/Emotional well-being

71.58 ± 9.96

75.12 ± 10.26

0.086

Health change (HT)

4.21 ± 0.84

4.51 ± 0.83

0.077

Physical component summary (PCS)

48.71 ± 4.03

49.82 ± 3.36

0.147

Mental component summary (MCS)

50.84 ± 4.88

51.69 ± 4.22

0.363

6 months after finishing a rehabilitation program

Physical functioning (PF)

90.61 ± 8.08

94.65 ± 5.81

0.007

Role limitation due to physical health (RP)

70.61 ± 15.67

80.52 ± 17.26

0.003

Bodily pain (BP)

54.46 ± 16.14

73.53 ± 16.09

< 0.001

General health perception (GH)

69.81 ± 16.95

79.53 ± 14.43

0.003

Vitality (VT)

65.79 ± 14.66

71.08 ± 11.57

0.054

Social functioning (SF)

75.88 ± 11.78

84.88 ± 11.75

< 0.001

Role limitation due to emotional problems (RE)

85.23 ± 16.67

90.89 ± 12.44

0.065

Mental health (MH)/Emotional well-being

70.61 ± 13.83

77.21 ± 10.98

0.012

Health change (HT)

3.68 ± 0.93

4.26 ± 0.82

0.002

Physical component summary (PCS)

49.45 ± 5.31

53.78 ± 5.04

< 0.001

Mental component summary (MCS)

49.75 ± 6.50

52.40 ± 5.56

0.034

In the introduction section, the authors referred to literature that examined the effect of various methods of rehabilitation on HRQoL [2–25]. These investigations revealed different outcomes after a rehabilitation program for NSLBP, both favourable and unfavourable (i.e., those reporting a lack of improvement in HRQoL). At the time of writing, the authors cannot find articles examining changes in HRQoL after kinesiotherapy supported by visual feedback on a stabilometric platform.

In the present study, the HRQoL scores at a 6-month follow-up visit were affected by initial pain severity (only concerning the physical scale, Tab. 3) and the number of NSLBP recurrences (in relation both to the physical and mental scales, Tab. 4). A similar effect was observed in Fors et al. [38], who found that initial intensity of NSLBP, illness perception, a more negative attitude to the possibility of improvement, a negative emotional response to symptom intensity, and patient expectations regarding prognosis and treatment effect were associated with worse scores in outcomes measured at 3 and 12 months after physiotherapy. This was similar to the findings of a study by Mohamed Mohamed et al. [39], who examined the associations between NSLBP patients’ expectations and low back pain intensity in the short and long term. In contrast to the results of the present study (Tab. 4), Zackova et al. [6] found that even patients who were in a worse physical condition were more likely to experience improved HRQoL after treatment if they had a more positive emotional outlook to NSLBP than patients in better physical condition but with a more negative emotional outlook. Moreover, these authors found an inverse correlation between mental component summary (MCS) and physical component scale summary (PCS) scores obtained from the SF-36, whereas, in the present study, these domains correlated non-significantly but positively. In Cruz et al. [40], poor HRQoL-related outcomes of chronic NSLBP treatment were not only significantly influenced by initial pain severity but also by maladaptive psychosocial factors and unemployment. In other studies, in addition to initial pain intensity, the number of pain recurrences and patients’ expectations, HRQoL-related outcomes of NSLBP treatment were associated with the following: the number of previous episodes of NSLBP, body mass index, age, symptom duration, distress, maladaptive pain behaviours, greater depressive symptoms, functional disability, general health status, and job satisfaction [41–50].

Strengths and limitations of the study

The innovative contribution of the present study lies in the use of a stabilometric platform as a tool for supporting kinesiotherapy in a homogeneous group of NSLBP patients aged 3050. Moreover, this study used NSLBP intensity as well as improvement in general HRQoL scores as outcomes measured in respect of the other than NSLBP intensity rehabilitation program efficacy, which, as stated in the introduction, is an approach that is rarely applied. In this study, which, to the best of the authors’ knowledge, is the first of its kind, the associations were evaluated between HRQoL and values of parameters of posture stability and adaptation obtained on a stabilometric platform, which were assumed to be potentially helpful for determining factors (e.g., balance impairment) that influence HRQoL in NSLBP patients undergoing kinesiotherapy; however, this hypothesis was not confirmed.

As with the majority of other investigations, this study also has limitations that should be taken into consideration. A significant limitation of the study is the sample size, however, similar to, for example, in work by Michalsen et al [31]. The following study limitation, which should be taken into account is the potential influence of confounding factors, such as cognitive function [51], patients’ expectations concerning treatment outcome [38, 39], spinopelvic parameters [52], and leg length discrepancy [53], which can potentially affect HRQoL in patients undergoing a rehabilitation program due to NSLBP but which were not evaluated in this study. It is also known that the course of NSLBP can fluctuate and, therefore, 6 months may be too short a follow-up period to estimate the effect of different treatment methods on HRQoL in patients with NSLBP [38].

Conclusions

Compared to NSLBP patients who underwent kinesiotherapy alone, those who undertook kinesiotherapy supported by visual feedback on a stabilometric platform achieved not only a greater reduction in NSLBP intensity, ODI score, and risk of low back pain recurrence but also a higher level of improvement in HRQoL domain scores after a 6-month follow-up. The degree of HRQoL improvement was related to the initial severity of NSLBP and the number of NSLBP recurrences, which should be considered as a secondary outcome in assessing the effectiveness of NSLBP treatment.

Article information

Ethics statement: The study was performed after receiving permission from the Bioethics Committee of Nicolaus Copernicus University in Ludwik Rydygier Collegium Medicum in Bydgoszcz (no. KB 706/2016 given on November 22, 2016). The study and data analysis were performed in accordance with the revised version of the Helsinki Declaration. Each patient signed a written informed consent form.
Author contributions: A.K., K.K.: data acquisition, data interpretation, literature search, writing the article, revising the manuscript critically for important intellectual content, final approval of the version to be submitted. M.P.: data acquisition, data interpretation, revising the manuscript critically for important intellectual content, and final approval of the version to be submitted. A.S.: data interpretation, literature search, writing the article, revising the manuscript critically for important intellectual content, and final approval of the version to be submitted. M.H.-D.: data collection, data interpretation, revising the manuscript critically for important intellectual content, and final approval of the version to be submitted. J.B.: study conception, study design, study supervision, statistical analysis, data interpretation, literature search, writing the article, revising the manuscript critically for important intellectual content, and final approval of the version to be submitted.
Conflict of interest: None.
Funding: None.

References

  1. Silva HdJ, Fonseca LS, Mascarenhas RO, et al. The ESCAPE trial for older people with chronic low back pain: Protocol of a randomized controlled trial. PLoS One. 2022; 17(5): e0266613, doi: 10.1371/journal.pone.0266613, indexed in Pubmed: 35617329.
  2. Ebadi S, Henschke N, Forogh B, et al. The effect of continuous ultrasound on chronic low back pain: protocol of a randomized controlled trial. BMC Musculoskelet Disord. 2011; 12(3): 59, doi: 10.1186/1471-2474-12-59, indexed in Pubmed: 21406117.
  3. Dutmer AL, Soer R, Wolff AP, et al. What can we learn from long-term studies on chronic low back pain? A scoping review. Eur Spine J. 2022; 31(4): 901916, doi: 10.1007/s00586-022-07111-3, indexed in Pubmed: 35044534.
  4. Pieri E, Bonetti F, Pellicciari L, et al. Well-described exercises for chronic low back pain in Life Science Literature: A systematic review. J Back Musculoskelet Rehabil. 2022; 35(4): 729742, doi: 10.3233/BMR-210179, indexed in Pubmed: 34957993.
  5. Thompson T, Dias S, Poulter D, et al. Efficacy and acceptability of pharmacological and non-pharmacological interventions for non-specific chronic low back pain: a protocol for a systematic review and network meta-analysis. Syst Rev. 2020; 9(1): 130, doi: 10.1186/s13643-020-01398-3, indexed in Pubmed: 32503666.
  6. Zackova M, Aspide R, Braghittoni A, et al. Yellow flag on prognostic factors for non-specific chronic low back pain patients subjected to mini-invasive treatment: a cohort study. Eur Spine J. 2020; 29(8): 18791886, doi: 10.1007/s00586-020-06475-8, indexed in Pubmed: 32495278.
  7. Wang W, Wang S, Lin W, et al. 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, doi: 10.1186/s12906-020-02948-x, indexed in Pubmed: 32460819.
  8. Vadalà G, Russo F, De Salvatore S, et al. Physical activity for the treatment of chronic low back pain in elderly patients: a systematic review. J Clin Med. 2020; 9(4), doi: 10.3390/jcm9041023, indexed in Pubmed: 32260488.
  9. Hayden JA, Wilson MN, Stewart S, et al. Chronic Low Back Pain IPD Meta-Analysis Group. Exercise treatment effect modifiers in persistent low back pain: an individual participant data meta-analysis of 3514 participants from 27 randomised controlled trials. Br J Sports Med. 2020; 54(21): 12771278, doi: 10.1136/bjsports-2019-101205, indexed in Pubmed: 31780447.
  10. Cuenca-Martínez F, Cortés-Amador S, Espí-López GV. Effectiveness of classic physical therapy proposals for chronic non-specific low back pain: a literature review. Phys Ther Res. 2018; 21(1): 1622, doi: 10.1298/ptr.E9937, indexed in Pubmed: 30050749.
  11. Morsø L, Olsen Rose K, Schiøttz-Christensen B, et al. Effectiveness of stratified treatment for back pain in Danish primary care: A randomized controlled trial. Eur J Pain. 2021; 25(9): 20202038, doi: 10.1002/ejp.1818, indexed in Pubmed: 34101953.
  12. Wood L, Bishop A, Lewis M, et al. Treatment targets of exercise for persistent non-specific low back pain: a consensus study. Physiotherapy. 2021; 112: 7886, doi: 10.1016/j.physio.2021.03.005, indexed in Pubmed: 34029781.
  13. Pacheco-da-Costa S, Soto-Vidal C, Calvo-Fuente V, et al. Evaluation of Physical Therapy Interventions for Improving Musculoskeletal Pain and Quality of Life in Older Adults. Int J Environ Res Public Health. 2022; 19(12), doi: 10.3390/ijerph19127038, indexed in Pubmed: 35742284.
  14. Kim JH, Na CS, Cho MR, et al. Efficacy of invasive laser acupuncture in treating chronic non-specific low back pain: A randomized controlled trial. PLoS One. 2022; 17(5): e0269282, doi: 10.1371/journal.pone.0269282, indexed in Pubmed: 35639723.
  15. Rodríguez-Huguet M, Góngora-Rodríguez J, Vinolo-Gil MJ, et al. Effectiveness of negative pulsed-pressure myofascial vacuum therapy and therapeutic exercise in chronic non-specific low back pain: a single-blind randomized controlled trial. J Clin Med. 2022; 11(7), doi: 10.3390/jcm11071984, indexed in Pubmed: 35407595.
  16. DE Oliveira MF, Johnson DS, Demchak T, et al. Low-intensity LASER and LED (photobiomodulation therapy) for pain control of the most common musculoskeletal conditions. Eur J Phys Rehabil Med. 2022; 58(2): 282289, doi: 10.23736/S1973-9087.21.07236-1, indexed in Pubmed: 34913330.
  17. Freiwald J, Magni A, Fanlo-Mazas P, et al. A role for superficial heat therapy in the management of non-specific, mild-to-moderate low back pain in current clinical practice: a narrative review. Life (Basel). 2021; 11(8), doi: 10.3390/life11080780, indexed in Pubmed: 34440524.
  18. Schmidt S, Wölfle N, Schultz C, et al. Assessment of a taping method combined with manual therapy as a treatment of non-specific chronic low back pain - a randomized controlled trial. BMC Musculoskelet Disord. 2021; 22(1): 410, doi: 10.1186/s12891-021-04236-2, indexed in Pubmed: 33947367.
  19. de Teresa C, Varela-López A, Rios-Álvarez S, et al. Evaluation of the analgesic efficacy of a bioelectronic device in non-specific chronic low back pain with neuropathic component. A randomized trial. J Clin Med. 2021; 10(8), doi: 10.3390/jcm10081781, indexed in Pubmed: 33923872.
  20. Abdelhalim NM, Samhan AF, Abdelbasset WK. Short-Term impacts of pulsed electromagnetic field therapy in middle-aged university’s employees with non-specific low back pain: A pilot study. Pak J Med Sci. 2019; 35(4): 987991, doi: 10.12669/pjms.35.4.49, indexed in Pubmed: 31372129.
  21. Batıbay S, Külcü DG, Kaleoğlu Ö, et al. Effect of Pilates mat exercise and home exercise programs on pain, functional level, and core muscle thickness in women with chronic low back pain. J Orthop Sci. 2021; 26(6): 979985, doi: 10.1016/j.jos.2020.10.026, indexed in Pubmed: 33386201.
  22. Buttagat V, Techakhot P, Wiriya W, et al. Effectiveness of traditional Thai self-massage combined with stretching exercises for the treatment of patients with chronic non-specific low back pain: A single-blinded randomized controlled trial. J Bodyw Mov Ther. 2020; 24(1): 1924, doi: 10.1016/j.jbmt.2019.03.017, indexed in Pubmed: 31987542.
  23. Wang XQ, Gu W, Chen BL, et al. Effects of whole-body vibration exercise for non-specific chronic low back pain: an assessor-blind, randomized controlled trial. Clin Rehabil. 2019; 33(9): 14451457, doi: 10.1177/0269215519848076, indexed in Pubmed: 31099264.
  24. Huber D, Grafetstätter C, Proßegger J, et al. Green exercise and mg-ca-SO thermal balneotherapy for the treatment of non-specific chronic low back pain: a randomized controlled clinical trial. BMC Musculoskelet Disord. 2019; 20(1): 221, doi: 10.1186/s12891-019-2582-4, indexed in Pubmed: 31096958.
  25. Fuming Z, Weihui X, Jiajia Y, et al. Effect of m-health-based core stability exercise combined with self-compassion training for patients with non-specific chronic low back pain: study protocol for a randomized controlled trial. Trials. 2022; 23(1): 265, doi: 10.1186/s13063-022-06258-0, indexed in Pubmed: 35392974.
  26. Lara-Palomo IC, Antequera-Soler E, Matarán-Peñarrocha GA, et al. Comparison of the effectiveness of an e-health program versus a home rehabilitation program in patients with chronic low back pain: A double blind randomized controlled trial. Digit Health. 2022; 8: 20552076221074482, doi: 10.1177/20552076221074482, indexed in Pubmed: 35111332.
  27. Ma KL, Zhao P, Cao CF, et al. Fu’s subcutaneous needling versus massage for chronic non-specific low-back pain: a randomized controlled clinical trial. Ann Palliat Med. 2021; 10(11): 1178511797, doi: 10.21037/apm-21-2986, indexed in Pubmed: 34872303.
  28. Frizziero A, Pellizzon G, Vittadini F, et al. Efficacy of core stability in non-specific chronic low back pain. J Funct Morphol Kinesiol. 2021; 6(2), doi: 10.3390/jfmk6020037, indexed in Pubmed: 33922389.
  29. Ahmadi H, Adib H, Selk-Ghaffari M, et al. Comparison of the effects of the Feldenkrais method versus core stability exercise in the management of chronic low back pain: a randomised control trial. Clin Rehabil. 2020; 34(12): 14491457, doi: 10.1177/0269215520947069, indexed in Pubmed: 32723088.
  30. Kim B, Yim J. Core stability and hip exercises improve physical function and activity in patients with non-specific low back pain: a randomized controlled trial. Tohoku J Exp Med. 2020; 251(3): 193206, doi: 10.1620/tjem.251.193, indexed in Pubmed: 32669487.
  31. Michalsen A, Jeitler M, Kessler CS, et al. Yoga, eurythmy therapy and standard physiotherapy (yes-trial) for patients with chronic non-specific low back pain: a three-armed randomized controlled trial. J Pain. 2021; 22(10): 12331245, doi: 10.1016/j.jpain.2021.03.154, indexed in Pubmed: 33892154.
  32. Almeida Silva HJ, Barbosa GM, Scattone Silva R, et al. Dry cupping therapy is not superior to sham cupping to improve clinical outcomes in people with non-specific chronic low back pain: a randomised trial. J Physiother. 2021; 67(2): 132139, doi: 10.1016/j.jphys.2021.02.013, indexed in Pubmed: 33757719.
  33. Matarán-Peñarrocha GA, Lara Palomo IC, Antequera Soler E, et al. Comparison of efficacy of a supervised versus non-supervised physical therapy exercise program on the pain, functionality and quality of life of patients with non-specific chronic low-back pain: a randomized controlled trial. Clin Rehabil. 2020; 34(7): 948959, doi: 10.1177/0269215520927076, indexed in Pubmed: 32517498.
  34. Kanas M, Faria RS, Salles LG, et al. Home-based exercise therapy for treating non-specific chronic low back pain. Rev Assoc Med Bras (1992). 2018; 64(9): 824831, doi: 10.1590/1806-9282.64.09.824, indexed in Pubmed: 30673004.
  35. Kim JH, Na CS, Park GC, et al. Effects of different wavelengths of invasive laser acupuncture on chronic non-specific low back pain: a study protocol for a pilot randomized controlled trial. Trials. 2021; 22(1): 118, doi: 10.1186/s13063-021-05038-6, indexed in Pubmed: 33546748.
  36. Anheyer D, Klose P, Koch AK, et al. Comparative efficacy of different exercise interventions in chronic non-specific low back pain: protocol of a systematic review and network meta-analysis. BMJ Open. 2020; 10(8): e036050, doi: 10.1136/bmjopen-2019-036050, indexed in Pubmed: 32759244.
  37. Zemková E, Ďurinová E, Džubera A, et al. The relationship between reactive balance control and back and hamstring strength in physiotherapists with non-specific back pain: protocol for a cross-sectional study. Int J Environ Res Public Health. 2021; 18(11), doi: 10.3390/ijerph18115578, indexed in Pubmed: 34071122.
  38. Fors M, Öberg B, Enthoven P, et al. The association between patients’ illness perceptions and longitudinal clinical outcome in patients with low back pain. Pain Rep. 2022; 7(3): e1004, doi: 10.1097/PR9.0000000000001004, indexed in Pubmed: 35505791.
  39. Mohamed Mohamed WJ, Joseph L, Canby G, et al. Are patient expectations associated with treatment outcomes in individuals with chronic low back pain? A systematic review of randomised controlled trials. Int J Clin Pract. 2020; 74(11): e13680, doi: 10.1111/ijcp.13680, indexed in Pubmed: 33166045.
  40. Cruz EB, Canhão H, Fernandes R, et al. Prognostic indicators for poor outcomes in low back pain patients consulted in primary care. PLoS One. 2020; 15(3): e0229265, doi: 10.1371/journal.pone.0229265, indexed in Pubmed: 32218561.
  41. Costa Ld, Maher CG, McAuley JH, et al. Prognosis for patients with chronic low back pain: inception cohort study. BMJ. 2009; 339: b3829, doi: 10.1136/bmj.b3829, indexed in Pubmed: 19808766.
  42. Maher C, Underwood M, Buchbinder R. Non-specific low back pain. Lancet. 2017; 389(10070): 736747, doi: 10.1016/S0140-6736(16)30970-9, indexed in Pubmed: 27745712.
  43. Henschke N, Maher CG, Refshauge KM, et al. Prognosis in patients with recent onset low back pain in Australian primary care: inception cohort study. BMJ. 2008; 337(7662): a171, doi: 10.1136/bmj.a171, indexed in Pubmed: 18614473.
  44. George SZ, Beneciuk JM. Psychological predictors of recovery from low back pain: a prospective study. BMC Musculoskelet Disord. 2015; 16: 49, doi: 10.1186/s12891-015-0509-2, indexed in Pubmed: 25849159.
  45. Foster NE, Bishop A, Thomas E, et al. Illness perceptions of low back pain patients in primary care: what are they, do they change and are they associated with outcome? Pain. 2008; 136(1-2): 177187, doi: 10.1016/j.pain.2007.12.007, indexed in Pubmed: 18313853.
  46. Grotle M, Foster NE, Dunn KM, et al. Are prognostic indicators for poor outcome different for acute and chronic low back pain consulters in primary care? Pain. 2010; 151(3): 790797, doi: 10.1016/j.pain.2010.09.014, indexed in Pubmed: 20932646.
  47. Thomas E, Silman AJ, Croft PR, et al. Predicting who develops chronic low back pain in primary care: a prospective study. BMJ. 1999; 318(7199): 16621667, doi: 10.1136/bmj.318.7199.1662, indexed in Pubmed: 10373170.
  48. Schiøttz-Christensen B, Nielsen GL, Hansen VK, et al. Long-term prognosis of acute low back pain in patients seen in general practice: a 1-year prospective follow-up study. Fam Pract. 1999; 16(3): 223232, doi: 10.1093/fampra/16.3.223, indexed in Pubmed: 10439974.
  49. Campbell P, Foster NE, Thomas E, et al. Prognostic indicators of low back pain in primary care: five-year prospective study. J Pain. 2013; 14(8): 873883, doi: 10.1016/j.jpain.2013.03.013, indexed in Pubmed: 23791041.
  50. Ramond A, Bouton C, Richard I, et al. Psychosocial risk factors for chronic low back pain in primary care--a systematic review. Fam Pract. 2011; 28(1): 1221, doi: 10.1093/fampra/cmq072, indexed in Pubmed: 20833704.
  51. Ge Le, Yu Q, Wang C, et al. How cognitive loads modulate the postural control of older women with low back pain? BMC Geriatr. 2021; 21(1): 82, doi: 10.1186/s12877-021-02025-z, indexed in Pubmed: 33509117.
  52. Cha E, Park JH. Spinopelvic alignment as a risk factor for poor balance function in low back pain patients. Global Spine J. 2022 [Epub ahead of print]: 21925682221076417, doi: 10.1177/21925682221076417, indexed in Pubmed: 35220778.
  53. D’Amico M, Kinel E, Roncoletta P. Leg length discrepancy and nonspecific low back pain: 3-D stereophotogrammetric quantitative posture evaluation confirms positive effects of customized heel-lift orthotics. Front Bioeng Biotechnol. 2021; 9: 743132, doi: 10.3389/fbioe.2021.743132, indexed in Pubmed: 35223808.