Figures
Abstract
Non-specific low back pain represents 90–95% of all cases of low back pain and it has a prevalence of 18% in the adult population, assuming a great socioeconomic impact. The main objective of this observational case-control study study is to evaluate if there are differences in the simultaneous contraction of the core muscles between nonspecific low back pain and healthy subjects. This study will be carried out in the Physiotherapy department of the University of Alcalá. Eighty-two participants <18 years old, will be recruited, paired with NSLBP (n = 41) and healthy (n = 41). The main outcome will be the onset muscle contraction of lateral abdominal wall (internal oblique, external oblique and transversus abdominis), pelvic floor, lumbar multifidus and respiratory diafragm. The maneuvers that the subjects will perform will be abdominal drawing in maneouver, contralateral arm lift, valsalva, and voluntary pelvic floor contraction in sitting and standing. As a secondary objective, to analyze the amount of contraction of each muscle group and the capacity of the diaphragms to be excreted in both groups of subjects. Finally, to relate pain and disability.
Citation: Cervera-Cano M, Sáez-García MC, Valcárcel-Linares D, Fernández-Carnero S, López-González L, Gallego-Izquierdo T, et al. (2023) Real-time ultrasound evaluation of CORE muscle activity in a simultaneous contraction in subjects with non-specific low back pain and without low-back pain. Protocol of an observational case-control study. PLoS ONE 18(8): e0285441. https://doi.org/10.1371/journal.pone.0285441
Editor: Mehmet Cudi Tuncer, Dicle University: Dicle Universitesi, TURKEY
Received: November 3, 2022; Accepted: April 24, 2023; Published: August 10, 2023
Copyright: © 2023 Cervera-Cano et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Deidentified research data will be made publicly available when the study is completed and published.
Funding: The authors received no specific funding for this work. The funders had and will not have a role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Low back pain (LBP) has been the leading cause of disability since 1990 [1]. In 85–90% of cases, the exact cause of the pain cannot be determined with certainty and patients are classified as Non-Specific Low Back Pain (NSLBP) [1]. Pain has a prevalence of 18% in the adult population, which has a major socioeconomic impact worldwide [2]. In 10% of people suffering from LBP it becomes chronic [1], as it lasts longer than twelve weeks in a year [2]. Acute LBP has been defined by other guidelines as less than 4,6 or 12 weeks duration [2]. The type of work, obesity and unfavorable habits in daily life have also been considered risk factors that increase the likelihood of NSLBP [2]. It has been proposed that maladaptive social and psychological factors (depression, anxiety, catastrophism and low self-efficacy) may play an important role in the persistence of pain [3]. However, the role of musculoskeletal factors remains unclear.
There is no consensus on an exact definition of the core, this term refers to the abdomino-pelvic functional unit that involves not only vertebral segments with their corresponding passive structures that support it or the neural system, but also the four fundamental pillars that conform it: Lumbar multifidus (LM), Lateral Abdominal Wall (LAW), Respiratory Diaphragm (DPH) and pelvic floor (PF) [4, 5]. All this musculature forms a cylinder that works in synergy, producing a crossroads of lumbo-pelvic forces that provide trunk stability, better trunk control, efficient movement, good balance, and coordination, as well as better motor control (postural firmness and alignment). However, although the term core refers to a number of muscle groups, it should be considered a functional rather than an anatomical term [4, 5].
Various methods have been used to assess muscle behavior and/or core morphology with electromyography (EMG) being the ’Gold standard’. Increasingly, the use of RUSI (’Rehabilitative ultrasound imaging’) and real-time ultrasound (RTUS) has become an alternative to Magnetic Resonance Imaging (MRI) as it has been shown to be reliable in comparison with the ’gold standard’ (EMG or MRI) [6]. The use of Motion Mode (M-Mode) in ultrasound (US) has been proven to be a useful tool for assessing muscle contraction in people with NSLBP [4, 7]. Perhaps one of the limitations in performing US studies of the functional unit of the core simultaneously has been the lack of a measurement tool that supports several probes at the same time.
Numerous authors have attempted to explain the causes of NSLBP of musculoskeletal origin related to alterations in movement, muscle activity and/or changes in muscle atrophy in patients with NSLBP compared to asymptomatic participants [8]. These changes appear to be important factors in the evaluation and treatment of patients with LBP [6].
In relation to the definition of core and motor control, it could be understood that not only the morphological situation of the musculature and its contraction in isolation seems to be important, but also the coordination between the muscle groups that conform this functional unit [9]. Therefore, studies that analyze the global muscular behavior of the core and its morphology in a situation of pain in comparison with healthy subjects would give much information about the possible differences existing between both groups of subjects and their possible implication in NSLBP.
In the present protocol, the synergies between the muscle groups of the core that could be involved in NSLBP pain measured with US will be observed as the main objective. It is considered that an alteration in the synergy and in the global behavior of this functional unit may be related to the perpetuation or cause of NSLBP. As a secondary objective, to analyze the amount of contraction of each muscle group and the capacity of the diaphragms to be excreted in both groups of subjects. Finally, to relate pain and disability.
Materials and methods
Study design
An observational case-control study is proposed. The study research will be developed according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) [10] and the Guidelines for Reporting Reliability and Agreement Studies (GRRAS) [11]. Data will be collected between December 2021 and February 2023. The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of Ethical Committee for Research and Animal Experimentation (CEIM) of the University of Alcalá (CEIM/HU/2019/41).
Participants
Participants will be chronic NSLBP subjects, and asymptomatic, according to the selection criteria and recruited through non-probability convenience sampling. Participants will contact the University of Alcalá, in Madrid. The participant will be provided with the "Adult Research Patient Information Sheet" (S1 Appendix), an informed consent (S2 Appendix), a ’Participant Data Collection Form’ (S3 Appendix) and the Low Back Pain Questionnaire (S4 Appendix) designed by the research team. Once the subject has signed the Informed Consent form and completed the Data collection form and the Low Back Pain Questionnaire, the inclusion and exclusion criteria will be reviewed by a sub-investigator (D.V.L or L.L.G). Finally, the participant will be assigned to the case or control group.
Selection criteria
The inclusion criteria for the chronic NSLBP group will be:
- Subjects who suffer from chronic NSLBP according to the criteria defined in the scientific literature [1, 2].
- Participants aged between 18 and 60 years old [12].
- To have a history of NSLBP at least twelve weeks in the last year [2]
- Have scored their pain greater than or equal to 3 points out of 10 on a Visual Analog Scale (VAS) [13, 14].
The control group will be subjects asymptomatic, who have neither acute nor chronic low back pain at the time of the measurement, nor who have suffered it in the last year since the day of the visit.
Surgical intervention, vertebral pathology (fractures, cancer, or infection) inability to be in the position or to perform the selected maneuvers will be the criteria for exclusion from this study. Pregnancy will also be a criterion for exclusion [12].
Sample size calculation
The sample size calculation has been carried out with the program ‘GPower 3.1.5’ and based on the main inter-subject factor of a mixed 4-by-2 analysis of variance (ANOVA). An effect size of 0.25 was estimated, with a correlation between repeated measurements of 0.50, a power of 80% and a level of 0.05. The resulting sample size was 82 subjects.
Outcomes
The primary outcome will be the onset muscular contraction of the four core muscle groups during the Abdominal Drawing in Maneouver (ADIM), Contralateral Arm Lift (CAL), Valsalva maneuver, and voluntary contraction of the PF, in sitting and standing positions:
- Onset muscular contraction of the three muscles that conform the Lateral Abdominal Wall (LAW); Transversus abdominis (TrA), Internal oblique (IO), External oblique (EO).
- Onset muscular contraction of Lumbar Multifidus (LM).
- Onset excursion of the Diaphragm (DPH).
- Onset excursion of the Pelvic Floor (PF).
The secondary outcomes are; the percentage of change in muscle thickness in the LM and LAW (IO,EO,TrA) represented as average contraction thickness (cm)–average thickness at rest (cm) / average thickness at rest (cm)*100 [12]; the excursion of the DPH [15] and the excursion of the bladder trough the contraction of the PF muscles [16]. Finally, the degree of disability through the Oswestry disability questionnaire) [17].
Procedures
The data will be collected by an expert physiotherapist in RUSI with 10 years of experience (S.F.C) and the principal investigator (M.C.C) with 60 hours of training in US [18]. Both researchers (S.F.C and M.C.C) will be blinded to group assignment during data collection. Two sub-investigators (D.V.L and L.L.G) will collect the participant’s Data collection Form and assign him/her to the case or control group. Once the participant has completed all the information and has been assigned to the corresponding group, it will be filed in the investigator file to avoid breaking the blind by principal investigator.
Four wireless US probes, two linear with a 7,5–10 MHz bandwidth and two convex with a 3,5–5 MHz bandwidth will be used. These probes will be held in place by a customized fixation belt manufactured by the research team that has been resulted as a utility model filed with the Spanish patent and trademark office (OEPM; n° 202131486) (Fig 1). The customized fixation belt will allow the simultaneous collection of ultrasound images and videos.
Three of the probes corresponding to the LAW, LM and DPH will be positioned on the right side of the patient as the sound amplifying window offered by the liver is needed to measure the excursion of the DPH [15]. The fourth probe corresponding to the PF is placed transversely and suprapubically on the subject [16]. The probes placement will correspond to the measurement areas of each muscle group that have been previously validated by different authors [15, 16, 19, 20]. The four US images will be visualized and unified in a computer through a video capture card, where the onset muscle contraction and the morphology of the muscles will be analyzed.
An US analysis will be carried out to evaluate the onset muscle contraction of the four core muscle groups in a global and synergic manner, as well as their individual morphological characteristics during the ADIM, CAL, voluntary PF contraction and Valsalva maneuvers in sitting and standing. The measurements will be taken in these two positions since they have been assumed in as possible risk factors for the appearance of NSLBP and its maintenance [21].
The maneuvers and the positions will be randomized by means of opaque envelopes that will be assigned to each patient to eliminate possible biases. All tests will be performed once in sitting and standing positions. with a 2 minutes break between maneuvers. The authors of this study considered that 2 minutes break between each maneuver and 2 minutes of rest between positions, being low intensity tests, could be enough to avoid participant fatigue. All the maneuvers will be taught before each measurement.
Abdominal Drawing in Maneuver (ADIM).
The ADIM is designed to facilitate coactivation of the TrA and LM to stabilize the trunk prior to limb movement [22]. Subjects will receive a traditional training with tactile and verbal instructions in sitting and standing positions before the measurement [22]. To perform ADIM, the participant will be taught to “Take a relaxed breath in and out, hold the breath out, and then draw in the lower abdomen without moving their spine” [20].
Contralateral Arm Lift (CAL).
The CAL maneuver attempts to identify the muscular activity of the LM and its size during the execution of the test. With the elbow fully extended and the wrist in a neutral position, the participant will raise the arm to shoulder height. The subject will hold the position for 2 seconds [23].
Voluntary pelvic floor contraction.
To perform the voluntary PF contraction, the anterior superior iliac spine and the posterior superior iliac spine will be aligned horizontally to avoid the displacement of the base of the bladder. It will be allowed the contraction of the TrA as a synergic muscle. Once the optimum measuring position has been reached, a command will inform the participant to activate the PF: "try to close the urethra as if you wanted to hold back urine". The PF contraction will be maintained for 6–10 seconds [24].
Valsalva maneuver.
The Valsalva maneuver is a breathing pattern that consists of forced exhalation with the glottis closed to increase the stability of the spine by increasing the intra-abdominal pressure, since the entire abdominal musculature is activated [25]. The sequence given to the subjects to carry out the Valsalva maneuver will be as follows (1)’’ Take the air into the ears with the mouth and nostrils closed”, (2) ’’apply pressure towards the pelvic floor, as if they intended to defecate’’. No instruction shall be given on the contraction or relaxation of the abdominal muscles or the PF. The muscular activity will be recorded within 3 seconds of the participant’s maximum contraction [25].
The maneuvers and its characteristics are summarized in Table 1.
The methodology of the US evaluations is summarized in Table 2.
Data processing
The data will be collected from December 2021 to February 2023. Written informed consent will be obtained from all participants prior to recruitment. The participant Data Collection form that contains information as socio-demographic data (height, weight, and personal medical history) will be completed by the participant and a 10-question questionnaire (S4 Appendix) designed by the research team that will allow the participant to be assigned to the case or control group. The Visual Analog Scale (VAS) [14] as well as the Oswestry Dissability Index scale [17] will be completed only by subjects who have been assigned to the case group. To ensure the authenticity of the data, all individuals will complete the questionnaires independently.
Once the participant has completed all the forms, the customized fixation belt will be placed on the subject, with its corresponding US probes. With the US M-Mode, the start of movement of each specific muscle group will be identified. These results will be compared with the morphological characteristics of each muscle group such as the % of change in thickness of the LM and the LAW, and the endopelvic and respiratory diaphragms excursions.
The US videos and images of each probe will be displayed in four tablets through the USG Wireless program. These tablets are connected to a computer through a customized video capture card.
To objectify the onset muscle contraction of each muscle group, the OBS (Open Broadcaster Software® V.28.1.2 Boston, MA 02110–1301 USA) will be used. The OBS will allow to observe the four videos all at once, where the specific and global muscle contraction can be visualized in a simpler and clearer way. In addition, a stopwatch will be used in the same program to visualize the onset muscle contraction.
The collected data will be saved and imported to a personal laptop for later measurement by a blinded examiner using the program Free software FIJI® V.2.9.0 Cambridge CB3 0HA, UK [28].
Statistical analysis
The analysis of the assumption of normality will be carried out with the Kolmogorov-Smirnov test with Lilliefors’ correction, as the sample is larger than 50 subjects per group. For the descriptive analysis of the continuous quantitative variables the mean and standard deviation (SD) will be used in the case of meeting the normality and the median and first and third quartiles in the opposite case. In the case of nominal variables, absolute and relative percentage frequencies will be reported. The analysis of the homogeneity of the groups in the demographic variables will be carried out with the t-Student test for independent samples in the case of the continuous variables that comply with the assumption of normality and by means of the Mann-Whitney U test in the case of those that do not. For nominal variables, the Pearson chi-square test will be used or the Fisher exact test if the assumptions for the first one is not met.
The Intraclass Correlation Coefficient (ICC) will be used for the analysis of the intra and inter-reliability of the onset muscular contraction and ultrasound measurements, under the assumption of a mixed model of two factors and absolute agreement, using the average of 3 measurements (ICC3,3) [29]. It will be performed in 20 participants of the sample during standing voluntary pelvic floor contraction maneuver. The presence of a systematic error will be assessed by the statistical significance of the analysis of variance (ANOVA) used for the calculation of the CCI. The standard error of measurement (SEM) will be calculated as the square root of the mean square of the ANOVA error used for the calculation of the JRC, and the minimum detectable difference (MDD) at 95% confidence, using the formula MDD95 = SEM * * 1.96. The SEM and MDD will also be reported as a percentage of the sample mean. The Bland-Altman agreement charts will then be produced, estimating the agreement limits as the mean difference ± 1.96*DT [30].
For the assessment of compliance with the assumption of homoscedasticity, a visual inspection of the graph will be carried out and the relationship between the differences and the mean values, and between the differences with an absolute value and the mean values, will be analyzed using the Pearson correlation coefficient [31].
For the analysis of the differences between the groups in the continuous quantitative dependent variables that meet the assumption of normality, a mixed 4-by-2-by-2 covariance analysis (ANCOVA) will be used, with the maneuver (ADIM, CAL, Valsalva, voluntary PF contraction) and the position (sitting, standing) as intra-subject factors, the group (pain, healthy) as an inter-subject factor, and the BMI (Body Mass Index) as a covariant. The association between abdominal muscle thicknesses with gender, age, and BMI was examined using Pearson’s correlation coefficient and multiple regression analysis. Compliance with the assumption of sphericity will be assessed with the Mauchly test and that of equality of covariance matrices with the Box test. The partial eta-square coefficient (p2) will be used as an estimator of the size of the ANCOVA main effects and interactions.
It will be performed the Kruskal-Wallis H test for analyze the differences between independent variables (cases and controls) and the onset muscular contraction, as a qualitative ordinal dependent variable. On the other hand, the t-Student test for independent samples with Bonferroni correction will be used for the analysis of post-hoc pairwise comparisons. Cohen’s d (d = 2t / √g) will be used as estimator of the effect size of the post hoc comparisons [31].
If any continuous quantitative dependent variable does not meet the assumptions for carrying out the ANCOVAs, robust analogous methods will be used that do not require compliance with those assumptions, following the procedures described by Wilcox [31]
All analyses will be carried out with the software R Version 4.1.0 (R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/). An α level of 0.05 with 95% confidence intervals (CI) will be assumed for all analyses.
Supporting information
S1 Appendix. Patient information sheet (hip).
https://doi.org/10.1371/journal.pone.0285441.s001
(DOCX)
S2 Appendix. Declaration of informed consent.
https://doi.org/10.1371/journal.pone.0285441.s002
(DOCX)
S3 Appendix. Participant data collection form.
https://doi.org/10.1371/journal.pone.0285441.s003
(DOCX)
References
- 1. Moissenet F, Rose-Dulcina K, Armand S, Genevay S. A systematic review of movement and muscular activity biomarkers to discriminate non-specific chronic low back pain patients from an asymptomatic population. Sci Rep. 12 de marzo de 2021;11(1):5850. pmid:33712658
- 2. Oliveira CB, Maher CG, Pinto RZ, Traeger AC, Lin CWC, Chenot JF, et al. Clinical practice guidelines for the management of non-specific low back pain in primary care: an updated overview. Eur Spine J. noviembre de 2018;27(11):2791–803.
- 3. Hartvigsen J, Hancock MJ, Kongsted A, Louw Q, Ferreira ML, Genevay S, et al. What low back pain is and why we need to pay attention. Lancet. 9 de junio de 2018;391(10137):2356–67. pmid:29573870
- 4. Cervera-Cano M, López-González L, Valcárcel-Linares D, Fernández-Carnero S, Achalandabaso-Ochoa A, Andrés-Sanz V, et al. Core Synergies Measured with Ultrasound in Subjects with Chronic Non-Specific Low Back Pain and Healthy Subjects: A Systematic Review. Sensors (Basel). 10 de noviembre de 2022;22(22):8684. pmid:36433283
- 5. Huxel Bliven KC, Anderson BE. Core Stability Training for Injury Prevention. Sports Health. noviembre de 2013;5(6):514–22. pmid:24427426
- 6. Taghipour M, Mohseni-Bandpei MA, Behtash H, Abdollahi I, Rajabzadeh F, Pourahmadi MR, et al. Reliability of Real-time Ultrasound Imaging for the Assessment of Trunk Stabilizer Muscles: A Systematic Review of the Literature. J Ultrasound Med. enero de 2019;38(1):15–26. pmid:29688574
- 7. Ziaeifar M, Sarrafzadeh J, Noorizadeh Dehkordi S, Arab AM, Haghighatkhah H, Zendehdel Jadehkenari A. Diaphragm thickness, thickness change, and excursion in subjects with and without nonspecific low back pain using B-mode and M-mode ultrasonography. Physiother Theory Pract. noviembre de 2022;38(13):2441–51. pmid:34061721
- 8. Salvioli S, Pozzi A, Testa M. Movement Control Impairment and Low Back Pain: State of the Art of Diagnostic Framing. Medicina (Kaunas). 29 de agosto de 2019;55(9). pmid:31470684
- 9. Sapsford RR, Hodges PW, Richardson CA, Cooper DH, Markwell SJ, Jull GA. Co-activation of the abdominal and pelvic floor muscles during voluntary exercises. Neurourol Urodyn. 2001;20(1):31–42. pmid:11135380
- 10. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. abril de 2008;61(4):344–9.
- 11. Kottner J, Audigé L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, et al. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. Journal of Clinical Epidemiology. 1 de enero de 2011;64(1):96–106.
- 12. Koppenhaver SL, Walker MJ, Su J, McGowen JM, Umlauf L, Harris KD, et al. Changes in lumbar multifidus muscle function and nociceptive sensitivity in low back pain patient responders versus non-responders after dry needling treatment. Man Ther. diciembre de 2015;20(6):769–76. pmid:25801100
- 13. Ehsani F, Arab AM, Salavati M, Jaberzadeh S, Hajihasani A. Ultrasound Measurement of Abdominal Muscle Thickness With and Without Transducer Fixation During Standing Postural Tasks in Participants With and Without Chronic Low Back Pain: Intrasession and Intersession Reliability. PM R. diciembre de 2016;8(12):1159–67.
- 14. Huskisson EC. Measurement of pain. Lancet. 9 de noviembre de 1974;2(7889):1127–31. pmid:4139420
- 15. Calvo-Lobo C, Almazán-Polo J, Becerro-de-Bengoa-Vallejo R, Losa-Iglesias ME, Palomo-López P, Rodríguez-Sanz D, et al. Ultrasonography comparison of diaphragm thickness and excursion between athletes with and without lumbopelvic pain. Phys Ther Sport. mayo de 2019;37:128–37. pmid:30954705
- 16.
Ehsani F, Arab AM, Assadi H, Karimi N, Shanbehzadeh S. Evaluation of pelvic floor muscles activity with and without abdominal maneuvers in subjects with and without low back pain. Vol. 29, JOURNAL OF BACK AND MUSCULOSKELETAL REHABILITATION. NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS: IOS PRESS; 2016. p. 241–7.
- 17. Fairbank JC, Pynsent PB. The Oswestry Disability Index. Spine (Phila Pa 1976). 15 de noviembre de 2000;25(22):2940–52; discussion 2952. pmid:11074683
- 18. Teyhen DS, George SZ, Dugan JL, Williamson J, Neilson BD, Childs JD. Inter-rater reliability of ultrasound imaging of the trunk musculature among novice raters. J Ultrasound Med. marzo de 2011;30(3):347–56. pmid:21357556
- 19. Hides J, Stanton W, Mendis MD, Sexton M. The relationship of transversus abdominis and lumbar multifidus clinical muscle tests in patients with chronic low back pain. Man Ther. diciembre de 2011;16(6):573–7. pmid:21641268
- 20. Hides JA, Miokovic T, Belavy DL, Stanton WR, Richardson CA. Ultrasound imaging assessment of abdominal muscle function during drawing-in of the abdominal wall: An intrarater reliability study. Vol. 37, JOURNAL OF ORTHOPAEDIC & SPORTS PHYSICAL THERAPY. 1111 NORTH FAIRFAX ST, STE 100, ALEXANDRIA, VA 22314–1436 USA: J O S P T,; 2007. p. 480–6. pmid:17877284
- 21. Inoue G, Uchida K, Miyagi M, Saito W, Nakazawa T, Imura T, et al. Occupational Characteristics of Low Back Pain Among Standing Workers in a Japanese Manufacturing Company. Workplace Health Saf. 1 de enero de 2020;68(1):13–23.
- 22. Teyhen DS; Miltenberger CE; Deiters HM; del Toro YM; Pulliam JN; Childs JD; Boyles RE; Flynn TW. The use of ultrasound imaging of the abdominal drawing-in maneuver in subjects with low back pain. The Journal of Orthopaedic and Sports Physical Therapy 2005 Jun;35(6):346–355. 2005; pmid:16001906
- 23. Sweeney N, O’Sullivan C, Kelly G. Multifidus muscle size and percentage thickness changes among patients with unilateral chronic low back pain (CLBP) and healthy controls in prone and standing. Manual Ther. 2014;19(5):433–9. pmid:24909431
- 24. Fitz FF, Gimenez MM, de Azevedo Ferreira L, Matias MMP, Bortolini MAT, Castro RA. Pelvic floor muscle training for female stress urinary incontinence: a randomised control trial comparing home and outpatient training. Int Urogynecol J. mayo de 2020;31(5):989–98. pmid:31444535
- 25. Blanchard TW, Smith C, Grenier SG. In a dynamic lifting task, the relationship between cross-sectional abdominal muscle thickness and the corresponding muscle activity is affected by the combined use of a weightlifting belt and the Valsalva maneuver. J Electromyogr Kinesiol. junio de 2016;28:99–103.
- 26. Teyhen DS, Gill NW, Whittaker JL, Henry SM, Hides JA, Hodges P. Rehabilitative ultrasound imaging of the abdominal muscles. J Orthop Sports Phys Ther. agosto de 2007;37(8):450–66. pmid:17877281
- 27. Stokes M, Hides J, Elliott J, Kiesel K, Hodges P. Rehabilitative ultrasound imaging of the posterior paraspinal muscles. J Orthop Sports Phys Ther. octubre de 2007;37(10):581–95. pmid:17970405
- 28. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji—an Open Source platform for biological image analysis. Nat Methods [Internet]. 28 de junio de 2012 [citado 7 de abril de 2021];9(7). Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855844/
- 29.
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research—PubMed [Internet]. [citado 17 de diciembre de 2022]. Disponible en: https://pubmed.ncbi.nlm.nih.gov/27330520/
- 30. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 8 de febrero de 1986;1(8476):307–10. pmid:2868172
- 31.
Introduction to Robust Estimation and Hypothesis Testing - 3rd Edition [Internet]. [citado 25 de mayo de 2021]. Disponible en: https://www.elsevier.com/books/introduction-to-robust-estimation-and-hypothesis-testing/wilcox/978-0-12-386983-8