Abstract
Objectives:
It has been difficult to monitor the pelvic position during actual daily life. However, recent developments in wearable device technologies, such as the LUMOback device, provide the possibility to evaluate habitual pelvic posture and time spent sitting during daily life. The current study aimed (1) to investigate test–retest reliability for habitual pelvic posture and time spent sitting with the LUMOback in individuals with prolonged low back pain (low back pain group) and without low back pain (control group), and (2) to preliminarily investigate differences in those measures between groups.
Methods:
Fifteen individuals in each group wore the LUMOback daily for 2 weeks. Intraclass correlation coefficients were calculated in each group by comparing the mean from the first week with the mean from the second week: (1) for the posture score, which is a proportion of time with neutral posture, and (2) for time spent sitting. The two measures for the first week were compared between the low back pain and control groups.
Results:
The intraclass correlation coefficients for the posture score were .82 in the low back pain group and .91 in the control group. The intraclass correlation coefficients for time spent sitting were .75 in the low back pain group and .85 in the control group. The posture score in the low back pain group (mean ± SD: 37.5% ± 10.3%) was less than that in the control group (49.6% ± 6.0%; p < .001), but there was no difference in time spent sitting between the groups (p > .05).
Conclusions:
The current study found (1) acceptable test–retest reliability for the posture score and time spent sitting evaluated by the LUMOback device, and (2) preliminary evidence of a difference in the posture score, indicating a more slouched lumbopelvic posture in individuals with prolonged low back pain than those without low back pain.
Keywords: Habits, posture, test–retest reliability, wearable device
Introduction
It is considered that a prolonged awkward posture, which produces continuous mechanical loading to certain tissues in a certain direction, may result in structural damage or symptoms.1,2 Thus, it may be possible that prolonged slouched posture, which accompanies posterior pelvic tilt, can be a risk factor for the development of low back pain (LBP).3 However, it has been unclear whether individuals with LBP have more prolonged posterior pelvic tilt than individuals without LBP.
It has been difficult to monitor the pelvic position during actual daily life. However, recent developments in wearable device technologies provide the possibility to evaluate spine and pelvic posture during everyday life.4,5 The LUMOback (Lumo Bodytech Inc., Mountain View, CA, USA) device (Figure 1) continuously monitors the pelvic position during everyday life, and data can be saved to an iPhone, iPad or iPod (Figure 2). O’Sullivan et al.4 reported acceptable test–retest reliability (intraclass correlation coefficient (ICC) = .84-.87) for the BodyGuardTM (Sels Instruments, Vorselaar, Belgium), wearable device, but this requires two adhesive tapes to fix a strain gauge, which has no feed-back function. In contrast, the LUMOback device is easy to use by simply wearing a belt and has the option to provide real-time feedback of a slouched posture by a vibration alert. As the LUMOback device is relatively inexpensive (approximately US$150), it has the potential to be used by many people to monitor and therefore improve their habitual lumbopelvic posture.
Figure 1.

LUMOback.
The LUMOback was placed around L5-S1 level.
Figure 2.
Examples of postures and LUMOback displays: (a) neutral standing, (b) bending forward, (c) neutral sitting and (d) slouched sitting.
A first step in the evaluation of the potential application of the LUMOback device is to evaluate measures of test–retest reliability, including the evaluated posture score and time spent sitting, which has not been established yet. It is also clinically important to investigate the minimum detectable change (MDC) of the posture score and time spent sitting in individuals with LBP. The MDC enables us to evaluate the effect of postural education and behavioral modifications on a patient with LBP in clinical practice.
The purpose of this study was twofold. The first aim was to investigate test–retest reliability and MDC of the posture score and time spent sitting, from data recorded by the LUMOback device when worn over an extended period of time during routine daily living, in individuals with and without LBP. The second aim was to investigate if there was a difference in the posture score and time spent sitting between individuals with and without LBP.
Methods
Participants
A sample of convenience from a university setting in Japan was used in this study. Participants contacted the author via university advertisements from August 2016 to September 2016. Individuals between 20 and 60 years of age were eligible. Individuals with diagnosed structural deformity (e.g. scoliosis) or diagnosed neurological disorders or individuals who had activities involving a prolonged trunk extension posture (e.g. ceiling plasterers or painters) were not considered eligible. Specific inclusion criteria for individuals with LBP (LBP group) were persistent LBP lasting for more than 3 months. Those with LBP who had a score of less than 12% on the Oswestry Disability Index (ODI)6,7 was not considered eligible as 12% is the cut-off score for disability in a Japanese population.8 Specific inclusion criteria for individuals without LBP (control group) were no history at any time of LBP lasting more than 24 h.9,10
This study was cleared by the institutional human medical ethics committee of the Saitama Prefectural University (No. 27110). Written informed consent was obtained prior to data collection.
Measurements
LUMOback
The LUMOback device consists of a microcontroller, accelerometer, flash memory, Bluetooth chip and haptic motor. The algorithm on the LUMOback sensor normalizes and calibrates the accelerometer data and transforms into angular data. The LUMOback device measures the angle of a user’s pelvis when they are sitting or standing with resolution of 1°. The algorithms in the application (ZERO2ONE, inc; Lumo Back: Real-Time Posture Feedback; https://itunes.apple.com/app/lumo-back-real-time-posture/id575786694?mt=8) can detect multiple activity states including running, walking, sitting, standing, laying down and in a car. Participants were instructed to wear the LUMOback at the level of the L5-S1. In the current study, participants were asked to undertake the calibration in neutral standing when they first put on the LUMOback in the morning. Once it is calibrated, the LUMOback device can determine the angle of the pelvis relative to the calibrated angle. The calibration is also undertaken automatically when the user walks for ⩾30 s. The participants were also asked to check whether LUMOback data were correctly saved in the iPhone, iPad or iPod on a daily basis. Familiarization in wearing the LUMOback device, undertaking the calibration, and checking data saving with trouble shooting maneuvers were undertaken with each participant.
Primary measures
All participants were asked to wear the LUMOback device daily for 14 consecutive days to enable capture of data regarding posture during daily life except when playing water sports, taking a shower and sleeping. The secondary aim of the study was masked from theparticipants in order to minimize the possibility that the participants would alter their pelvic posture and time spent in sitting in order to compete against the control group. The participants were asked to act as usual to enable measurement of habitual pelvic posture and time spent in sitting. In the current study, a posture score and time spent sitting in minutes was collected using the LUMOback device and used as the primary measure.
The posture score is a proportion of time with neutral posture to the time with a posture either slouched or hyper-extended above a pre-determined threshold. In the current study, a threshold was chosen as “very slouched” based on consensus opinions as clinically meaningful slouched posture from three expert physical therapists who had achieved a Diploma in the Mechanical Diagnosis and Therapy (MDT) education program. The MDT is one of the most commonly used physical therapy approach for the management of LBP11–13 and diploma holders have advanced skills of the physical evaluation. Pelvic angles at “very slouched” were ⩾7° posterior or ⩾14° anterior tilt of the pelvis relative to the calibrated angle in sitting and ⩾8° posterior or ⩾12° anterior tilt of the pelvis relative to the calibrated angle in standing. Technically, the posture score is affected by the hyper-anterior tilt of the pelvis relative to the calibrated angle in standing. However, all participants in the current study were students, who were more likely to sit for prolonged periods, and no subjects reported activities with an extended posture. Thus, the posture score in the current study is most likely to reflect posture of the posteriorly tilted pelvis predominantly.
Secondary measures
All participants provided demographic information and completed the International Physical Activity Questionnaire short version (IPAQ),14,15 the P416 and the Medical Outcomes Study (MOS) 36-Item Short-Form Health Survey version 2 (SF-36v2) in order to understand characteristic of the participants. The LBP group also provided the ODI and symptom duration, which was defined as the number of months since the last pain-free month according to a previous recommendation.10 These secondary measures were collected as these were considered to be potential factors influencing the primary measure and/or useful information to understand group characteristics.
The IPAQ is a reliable and valid self-reporting questionnaire for assessing physical activity level.15,17 The IPAQ has seven items and average activity level is calculated with minutes × Mets.18 The P4 is a reliable and valid four-item questionnaire with four 0–10 numerical rating scales (0: no pain, 40: the highest possible pain level).19 The SF-36v2 is an established measure for health status20 and eight health status variables can be evaluated (physical function, role physical, bodily pain, general health, vitality, social function, role emotional and mental health).21 The value of 50 is the national standard value and higher value indicates better health status.22
Statistics
Descriptive analysis was used to summarize variables with the mean (SD) and % (number). Parametric analyses were used in the current study. All statistical analyses were performed with SPSS. Statistical significance was set at p < .05.
To investigate test–retest reliability of the posture score and sitting time, the ICC and Bland–Altman plots were evaluated by comparing the mean value of the first 7 days with the mean values of the second 7 days in the LBP group and the control group, respectively. The duration of 7 days was selected as it was considered that daily activities were dependent on days of the week. The following criteria were used to interpret ICC values: poor reliability, <.40; fair–good reliability, .40-.75; excellent reliability, >.75.23 Furthermore, the MDC was calculated using the following standard formulas
| (1) |
| (2) |
In each Bland–Altman plot, 95% confidence intervals (95% CIs) of the difference from the mean value of the first 7 days to the mean values of the second 7 days were calculated, and Pearson’s r between the difference from the mean value of the first 7 days to the mean values of the second 7 days and average of these values were calculated. A fixed bias was considered negligible when the 95% CIs of the difference from the mean value of the first 7 days to the mean values of the second 7 days included zero. A proportional bias was considered negligible when a statistical significance of Pearson’s r was ⩾.05.
The Fisher’s exact test was used to compare gender balance between the two groups. The two-tailed independent sample t test was used to compare other variables between the two groups. Hedges g was also calculated for effect size,24 where Hedges g value of 0.2, 0.5 and 0.8 represents small, medium and large effect size, respectively.25
Priori sample size estimation
A priori sample size estimation was undertaken considering the reliability investigation and group comparison. For the reliability investigation, 15 participants were considered the minimum sample size to detect the ICC value of .8 with the null hypothesis of ICC value of 0 (α = .05 and β = .20; PASS 14 Power Analysis and Sample Size Software 2015, NCSS, LLC, Kaysville, UT, USA). For the group comparison, a priori sample size estimation was undertaken using an internal pilot study26,27 of the first eight subjects in each group with the posture score taken from the first 7 days. The pilot study demonstrated an effect size of the group difference of 1.4. The G*Power 328 also demonstrated that 15 individuals in each group were required to detect a significant difference in the posture score (α = .05 and β = .05). Thus, an additional seven participants in each group were recruited as there was no change in methodology after the pilot testing.
Results
Fifteen individuals with LBP and 15 individuals without LBP participated in the study. Table 1 presents the demographics and comparisons of secondary measures between the two groups. No significant difference in demographic measures and the IPAQ scores indicates demographic comparability between the two groups. The SF-36v2 scores indicate that the LBP group had impaired health status in bodily pain, social function and emotional constructs when compared with the scores of the control group and the national standard (i.e. <50). There were no missing values.
Table 1.
Comparisons of demographics and secondary measures.
| Variables | LBP group (n = 15) | Control group (n = 15) | p value |
|---|---|---|---|
| Demographic data | |||
| Women (%) | 9 (60.0) | 13 (86.7) | .21 |
| Age (years) | 22.1 (4.3) | 21.1 (2.3) | .43 |
| Symptom measures | |||
| Oswestry Disability Index (%) | 18.9 (5.8) | 0 | NA |
| P4 (range 0–40) | 14.4 (7.1) | 0 | NA |
| Symptom duration (months) | 42.8 (35.8) | NA | NA |
| Other secondary measures | |||
| IPAQ (minute × METS) | 4020.5 (2631.6) | 3688.3 (2740.6) | .74 |
| SF-36v2 (national standard value, 50) | |||
| Physical function | 52.3 (7.1) | 57.4 (1.3) | .01 |
| Role physical | 45.0 (11.1) | 52.2 (13.7) | .59 |
| Bodily pain | 43.4 (8.2) | 57.1 (6.3) | <.001 |
| General health | 53.3 (5.6) | 55.2 (6.2) | .36 |
| Vitality | 43.6 (8.5) | 49.2 (7.0) | .06 |
| Social function | 46.3 (12.6) | 56.6 (1.7) | .004 |
| Role emotional | 45.0 (11.1) | 55.5 (2.2) | .001 |
| Mental health | 44.8 (7.2) | 48.2 (5.3) | .15 |
LBP group: individuals with low back pain; Control group: individuals without low back pain; NA: not applicable; IPAQ: International Physical Activity Questionnaire; SF-36v2: Medical Outcomes Study 36-Item Short-Form Health Survey version 2. Values are presented as mean ± SD or numbers (%).
Table 2 demonstrates the ICC and 95% CIs. Excellent reliability for the posture score and fair–excellent reliability for time spent sitting were seen in the two groups. Figure 3 presents the Bland–Altman plots for the posture score and time spent sitting in the two groups. Neither fixed bias nor proportional bias was detected in the Bland–Altman plots. Regarding the MDC, that of the posture score was 11.7% in the LBP group and 4.9% in the control group. The MDC of time spent sitting was 126.7 min in the LBP group and 97.4 min in the control group.
Table 2.
The intraclass correlation coefficient (ICC) of the posture score and sitting time in individuals with low back pain (LBP group) and individuals without low back pain (Control group), which were calculated by comparing the mean value of the first 7 days with the mean values of the second 7 days.
| Variables | ICC (95% CIs) |
|
|---|---|---|
| LBP group (n = 15) | Control group (n = 15) | |
| Posture score | .82 (.48–.94) | .91 (.75–.97) |
| Sitting time | .75 (.26–.91) | .85 (.57–.95) |
Figure 3.
Bland–Altman plots for the posture scores and time spent sitting in the low back pain (LBP) and control groups.
A vertical axis presents the difference from the mean value of the first 7 days to the mean values of the second 7 days. A horizontal axis presents mean value of the 14 days. Upper dot lines present the upper limit of the 95% CI and lower dot lines present the lower limit of the 95% CI.
Table 3 demonstrates the posture score and time spent sitting between the two groups. The posture score was significantly less in the LBP groups than the control group and the effect size was large while there was no statistical difference in the time spent sitting between the two groups.
Table 3.
Comparisons of the posture score and sitting time between individuals with low back pain (LBP group) and individuals without low back pain (Control group).
| Variables | LBP group (n = 15) | Control group (n = 15) | p value | Hedges g |
|---|---|---|---|---|
| Posture score (%) | 37.5 (10.3) | 49.6 (6.1) | .001 | 1.39 |
| Sitting time (min) | 544.9 (89.0) | 496.6 (78.3) | .13 | 0.56 |
Values are presented as mean ± SD.
The p value of Pearson’s r between the difference from the mean value of the first 7 days to the mean values of the second 7 days and average of these values are presented in each Bland–Altman Plot.
Discussion
The current study examined test–retest reliability of the posture score and time spent sitting evaluated by the LUMOback device. The results of the current study indicated acceptable test–retest reliability for these measures in individuals with and without LBP. The LUMOback device has potential to be a promising tool to undertake studies regarding habitual pelvic posture.
There was no difference in time spent sitting between the two groups. However, the current study found a large effect size for the lower posture score in the LBP group compared with the control group, indicating more prolonged slouched lumbopelvic posture in individuals with prolonged LBP than those without LBP. These findings are in accordance with the conclusion of a systematic review3 that sitting itself was not a risk factor for LBP and that the risk of LBP increased when prolonged sitting and awkward postures were combined. Another systematic review concluded that there was limited evidence that a sustained flexed posture was a risk factor for LBP.29 Thus, postural education not to sustain slouched posture would be important in the management of LBP at least for individuals with sedentary life styles.
The results of the current study may indicate three possible research agendas. First, it is interesting to investigate whether certain physical therapy approaches change the habitual pelvic posture, by using the LUMOback device as a measure. For example, does postural education only change the habitual pelvic posture and time spent in sitting? Does trunk extensor muscle strength training or soft tissue stretching (e.g. hamstring muscles) change the habitual pelvic posture? The current study also found MDCs of the posture score and time spent in sitting, and we will be able to understand if pelvic posture and time in sitting is changed over a course of an intervention in case studies. Second, the LUMOback device may enhance the treatment effect for people who need postural correction to reduce their LBP when the feedback of vibration is on. A randomized control trial will be required. Third, recurrence of LBP is high30–33 and therefore it may be of interest to investigate if the use of the LUMOback device can reduce recurrence of LBP in those who needed postural correction to reduce their LBP.
Study limitations
There are four potential limitations in the current study. One is regarding the generalizability of the results due to the limited sample and sampling method. The participants in this study were relatively young and university students. Furthermore, the limited sample size could have potentiated the gender imbalance. These might have contributed to the preliminary findings in the comparisons of the posture score and time spent in sitting. Further investigations will be required to fully understand if there is a difference in the habitual pelvic posture and time spent sitting in general.
The second limitation is that the LUMOback device is not suitable for understanding lumbar movements or segmental movements specifically. This study selected a threshold for slouched posture as “very slouched,” as the LUMOback device can only provide binary data for the posture score. The posture score from the LUMOback device has a technical limitation in that it is not able to differentiate a posture of an excessive anteriorly tilted pelvis from a posture of an excessive posteriorly tilted pelvis. Other systems (e.g. ViMove) would be more appropriate to understand specific measures of the habitual lumbar movements or angle data although widespread use of such an advanced system is not feasible.
The third limitation is that the current study did not assess reliability of the LUMOback sensor toward established motion measurements. Further understanding of reliability will be required to fully establish reliability of the assessment of habitual pelvic posture and time spent sitting using the LUMOback device.
The final limitation is that the results of the current study might be confounded by imperfect blinding of the LUMOback scores (i.e. the posture score and time spent sitting). The secondary aim of the study was masked from the participants in order to minimize the possibility that they would change their habitual pelvic posture and time spent in sitting and therefore compete with the control group. In this regard, participants were asked to act as usual to enable measurement of habitual pelvic posture and time spent in sitting. However, it was impossible to blind the LUMOback scores as the participants saw the LUMOback scores during data saving. Nevertheless, it is likely that the influence of imperfect blinding of the LUMOback scores on the results were negligible as there was no merit for the participants to have consistent LUMOback scores, and in any case would have required substantial mental effort to achieve.
Conclusion
The current study found acceptable test–retest reliability for the posture score and time spent sitting evaluated by the LUMOback device. The current study also revealed a preliminary finding that individuals with prolonged LBP had different habitual pelvic posture, which is assumed to be a more slouched lumbopelvic posture, in comparison with individuals without LBP.
Acknowledgments
The author wishes to acknowledge Dr Toby Hall for peer-reviewing this article prior to submission and Mr Andrew Chang for providing technical information of the LUMOback.
Footnotes
Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Ethical approval: Ethical approval for this study was obtained from The Saitama Prefectural University (27110).
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by JSPS KAKENHI Grant Number 15121265.
Informed consent: Written informed consent was obtained from all subjects before data collection.
References
- 1. Hodges PW. Pain and motor control: from the laboratory to rehabilitation. J Electromyogr Kinesiol 2011; 21: 220–228. [DOI] [PubMed] [Google Scholar]
- 2. Sahrmann SA. Diagnosis and treatment of movement impairment syndromes. St. Louis, MO: Mosby, 2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Lis AM, Black KM, Korn H, et al. Association between sitting and occupational LBP. Eur Spine J 2007; 16: 283–298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. O’Sullivan K, Galeotti L, Dankaerts W, et al. The between-day and inter-rater reliability of a novel wireless system to analyse lumbar spine posture. Ergonomics 2011; 54: 82–90. [DOI] [PubMed] [Google Scholar]
- 5. Kent P, Laird R, Haines T. The effect of changing movement and posture using motion-sensor biofeedback, versus guidelines-based care, on the clinical outcomes of people with sub-acute or chronic low back pain-a multicentre, cluster-randomised, placebo-controlled, pilot trial. BMC Musculoskelet Disord 2015; 16: 131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Fujiwara A, Kobayashi N, Saiki K, et al. Association of the Japanese Orthopaedic Association score with the Oswestry Disability Index, Roland-Morris Disability Questionnaire, and short-form 36. Spine 2003; 28: 1601–1607. [PubMed] [Google Scholar]
- 7. Fairbank JC, Couper J, Davies JB, et al. The Oswestry low back pain disability questionnaire. Physiotherapy 1980; 66: 271–273. [PubMed] [Google Scholar]
- 8. Tonosu J, Takeshita K, Hara N, et al. The normative score and the cut-off value of the Oswestry Disability Index (ODI). Eur Spine J 2012; 21: 1596–1602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Stanton TR, Latimer J, Maher CG, et al. How do we define the condition ‘recurrent low back pain’? A systematic review. Eur Spine J 2010; 19: 533–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Stanton TR, Latimer J, Maher CG, et al. Definitions of recurrence of an episode of low back pain: a systematic review. Spine 2009; 34: E316–E322. [DOI] [PubMed] [Google Scholar]
- 11. Battie MC, Cherkin DC, Dunn R, et al. Managing low back pain: attitudes and treatment preferences of physical therapists. Phys Ther 1994; 74: 219–226. [DOI] [PubMed] [Google Scholar]
- 12. Foster NE, Thompson KA, Baxter GD, et al. Management of nonspecific low back pain by physiotherapists in Britain and Ireland. A descriptive questionnaire of current clinical practice. Spine 1999; 24: 1332–1342. [DOI] [PubMed] [Google Scholar]
- 13. Davies C, Nitz AJ, Mattacola CG, et al. Practice patterns when treating patients with low back pain: a survey of physical therapists. Physiother Theory Pract 2014; 30: 399–408. [DOI] [PubMed] [Google Scholar]
- 14. Craig CL, Marshall AL, Sjostrom M, et al. International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35: 1381–1395. [DOI] [PubMed] [Google Scholar]
- 15. Murase N, Katsumura T, Ueda C, et al. Validity and reliability of Japanese version of International Physical Activity Questionnaire. J Health Welfare Statistics 2002; 49: 1–9. [Google Scholar]
- 16. Spadoni GF, Stratford PW, Solomon PE, et al. The development and cross-validation of the P4: a self-report pain intensity measure. Physiother Can 2003; 55: 32–40. [Google Scholar]
- 17. Kim Y, Park I, Kang M. Convergent validity of the International Physical Activity Questionnaire (IPAQ): meta-analysis. Public Health Nutr 2013; 16: 440–452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ): short and long forms, https://sites.google.com/site/theipaq/home (2005, accessed 11 May 2017).
- 19. Spadoni GF, Stratford PW, Solomon PE, et al. The evaluation of change in pain intensity: a comparison of the P4 and single-item numeric pain rating scales. J Orthop Sports Phys Ther 2004; 34: 187–193. [DOI] [PubMed] [Google Scholar]
- 20. Fukuhara S, Bito S, Green J, et al. Translation, adaptation, and validation of the SF-36 health survey for use in Japan. J Clin Epidemiol 1998; 51: 1037–1044. [DOI] [PubMed] [Google Scholar]
- 21. Fukuhara S, Ware JE, Jr, Kosinski M, et al. Psychometric and clinical tests of validity of the Japanese SF-36 health survey. J Clin Epidemiol 1998; 51: 1045–1053. [DOI] [PubMed] [Google Scholar]
- 22. Fukuhara S, Suzukamo Y. Manual of SF-36v2 Japanese version. Kyoto, Japan: Institute for Health Outcomes & Process Evaluation Research, 2004. [Google Scholar]
- 23. Fliess JL. Reliability of measurement. In: Fleiss JL. (ed.) The design and analysis of clinical experiments. New York: John Wiley & Sons, 1986, pp. 1–32. [Google Scholar]
- 24. Fritz CO, Morris PE, Richler JJ. Effect size estimates: current use, calculations, and interpretation. J Exp Psychol Gen 2012; 141: 2–18. [DOI] [PubMed] [Google Scholar]
- 25. Cohen J. Statistical power analysis for the behavioural sciences. 2nd ed. Hillsdale, MI: Lawrence Erlbaum, 1988, pp. 25–27. [Google Scholar]
- 26. Takasaki H, Delbridge BM, Johnston V. Taping across the upper trapezius muscle reduces activity during a standardized typing task: an assessor-blinded randomized cross-over study. J Electromyogr Kinesiol 2015; 25: 115–120. [DOI] [PubMed] [Google Scholar]
- 27. Sandvik L, Erikssen J, Mowinckel P, et al. A method for determining the size of internal pilot studies. Stat Med 1996; 15: 1587–1590. [DOI] [PubMed] [Google Scholar]
- 28. Faul F, Erdfelder E, Lang AG, et al. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007; 39: 175–191. [DOI] [PubMed] [Google Scholar]
- 29. Ribeiro DC, Aldabe D, Abbott JH, et al. Dose-response relationship between work-related cumulative postural exposure and low back pain: a systematic review. Ann Occup Hyg 2012; 56: 684–696. [DOI] [PubMed] [Google Scholar]
- 30. Von Korff M, Deyo RA, Cherkin D, et al. Back pain in primary care. Outcomes at 1 year. Spine 1993; 18: 855–862. [DOI] [PubMed] [Google Scholar]
- 31. Enthoven P, Skargren E, Oberg B. Clinical course in patients seeking primary care for back or neck pain: a prospective 5-year follow-up of outcome and health care consumption with subgroup analysis. Spine 2004; 29: 2458–2465. [DOI] [PubMed] [Google Scholar]
- 32. van den Hoogen HJ, Koes BW, Deville W, et al. The prognosis of low back pain in general practice. Spine 1997; 22: 1515–1521. [DOI] [PubMed] [Google Scholar]
- 33. Garcy P, Mayer T, Gatchel RJ. Recurrent or new injury outcomes after return to work in chronic disabling spinal disorders. Tertiary prevention efficacy of functional restoration treatment. Spine 1996; 21: 952–959. [DOI] [PubMed] [Google Scholar]


