See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/311091421 Electromyographic analysis of muscle activation during pull-up variations Article in Journal of electromyography and kinesiology: official journal of the International Society of Electrophysiological Kinesiology · November 2016 DOI: 10.1016/j.jelekin.2016.11.004 CITATION READS 1 2,283 4 authors, including: James Faulkner Matthew J Barnes The University of Winchester Massey University 134 PUBLICATIONS 1,238 CITATIONS 48 PUBLICATIONS 346 CITATIONS SEE PROFILE Sally Lark Massey University 35 PUBLICATIONS 198 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Ballistic Upper-body Power View project Returning to Sport & Physical Activity after HTO with Bone Grafts View project All content following this page was uploaded by Sally Lark on 08 January 2018. The user has requested enhancement of the downloaded file. SEE PROFILE Journal of Electromyography and Kinesiology 32 (2017) 30–36 Contents lists available at ScienceDirect Journal of Electromyography and Kinesiology journal homepage: www.elsevier.com/locate/jelekin Electromyographic analysis of muscle activation during pull-up variations James A. Dickie a, James A. Faulkner a,b, Matthew J. Barnes a, Sally D. Lark a,⇑ a b School of Sport and Exercise, Massey University, Wellington, New Zealand Department of Sport and Exercise, University of Winchester, UK a r t i c l e i n f o Article history: Received 15 March 2016 Received in revised form 1 November 2016 Accepted 27 November 2016 Keywords: Muscle activation Electromyography EMG Pull-up Chin-up a b s t r a c t This study sought to identify any differences in peak muscle activation (EMGPEAK) or average rectified variable muscle activation (EMGARV) during supinated grip, pronated grip, neutral grip and rope pullup exercises. Nineteen strength trained males (24.9 ± 5 y; 1.78 ± 0.74 m; 81.3 ± 11.3 kg; 22.7 ± 2.5 kg m 2) volunteered to participate in the study. Surface electromyography (EMG) was collected from eight shoulder-arm-forearm complex muscles. All muscle activation was expressed as a percentage of maximum voluntary isometric contraction (%MVIC). Over a full repetition, the pronated grip resulted in significantly greater EMGPEAK (60.1 ± 22.5 vs. 37.1 ± 13.1%MVIC; P = 0.004; Effect Size [ES; Cohen’s d] = 1.19) and EMGARV (48.0 ± 21.2 vs. 27.4 ± 10.7%MVIC; P = 0.001; ES = 1.29) of the middle trapezius when compared to the neutral grip pull-up. The concentric phases of each pull-up variation resulted in significantly greater EMGARV of the brachioradialis, biceps brachii, and pectoralis major in comparison to the eccentric phases (P = <0.01). Results indicate that EMGPEAK and EMGARV of the shoulder-armforearm complex during complete repetitions of pull-up variants are similar despite varying hand orientations; however, differences exist between concentric and eccentric phases of each pull-up. Ó 2016 Elsevier Ltd. All rights reserved. 1. Introduction The pull-up is a resistance exercise widely used in a variety of strength and conditioning settings to promote muscular endurance or strength adaptations. However, despite familiarity with the pull-up amongst fitness professionals to promote strength adaptation, there is a lack of evidence demonstrating muscle activation during this exercise (Vanderburgh and Flanagan, 2000; Williams et al., 1999). Many fitness professionals work under the assumption that variations of pull-up exercises may train different muscles to differing degrees (i.e. pronated grip pull-ups for latissimus dorsi adaptation), however, there is little evidence to support this assumption (Leslie and Comfort, 2013). Additionally, uniformed services (Police, Armed Forces) commonly use pull-up variants to train muscular strength, in different muscles required to perform certain operational tasks, such as repelling and ladder climbing. Hence, understanding how grip orientation may alter the level of muscle activation is important when considering training specificity and efficiency. As there is limited evidence regarding muscle ⇑ Corresponding author at: College of Health, Massey University, Private Bag 756, Wellington 6140, New Zealand. E-mail address: s.lark@massey.ac.nz (S.D. Lark). http://dx.doi.org/10.1016/j.jelekin.2016.11.004 1050-6411/Ó 2016 Elsevier Ltd. All rights reserved. activity throughout the movements (Ricci et al., 1988; Youdas et al., 2010), a more thorough assessment of the movement pattern is necessary. As such, research is required to compare peak (EMGPEAK) and average rectified variable (EMGARV) muscle activation, and/or the engagement of particular muscles, during pull-up variations. The pull-up can be performed with many different grip widths and orientations, with each placing different biomechanical demands on the associated musculature (Floyd, 2012). By observing the mechanics and anatomy of a supinated grip pull-up (commonly referred to as a chin-up) the orientation of the forearm infers that the biceps brachii should experience greatest muscle activation of the elbow flexors. Conversely, one would expect a pronated grip to increase brachialis muscle activation, and neutral grip to increase brachioradialis activation (Floyd, 2012; Ronai and Scibek, 2014). Previous research has identified that muscle activation >50–60%MVIC is required to promote strength adaptation (Andersen et al., 2006; Kraemer et al., 2002; Youdas et al., 2010). Pull-up variants that result in differing levels of muscle activation may inevitably promote different degrees of strength adaption in particular muscles. Hence, it is important for fitness professionals to understand the level of muscle activation in the shoulder-arm- J.A. Dickie et al. / Journal of Electromyography and Kinesiology 32 (2017) 30–36 forearm complex when prescribing variations of the pull-up exercise (Leslie and Comfort, 2013). Ricci et al. (1988) analysed activation of seven shoulder and arm muscles during shoulder width supinated and pronated grip pullup exercises; results showed similar activation of muscles irrespective of hand orientation. However, muscle activity was not normalised to a percentage of maximal voluntary isometric contraction (MVIC) as per best practice guidelines for EMG studies (De Luca, 1997). Conversely, Youdas et al. (2010) demonstrated significantly greater activation of the lower trapezius during pronated grip when compared to supinated grip pull-ups; while the supinated grip revealed significantly greater activation of the pectoralis major and biceps brachii when compared to the pronated grip. Additional muscles may contribute to different grip orientations (Leslie and Comfort, 2013), however the latter research only analysed four muscles. Given the methodical limitations of previous studies, the purpose of this study is to assess the relative EMGPEAK and EMGARV of the shoulder-arm-forearm complex during supinated grip, pronated grip, neutral grip, and rope pull-up exercises. It was hypothesised that significant differences in EMGPEAK and EMGARV would exist between pull-up variants due to differences in positioning of the shoulder-arm-forearm complex between tasks. 2. Method 2.1. Participants Nineteen strength trained males (24.9 ± 5 y; 1.78 ± 0.74 m; 81.3 ± 11.3 kg; 22.7 ± 2.5 kg m 2) participated in this research. Participants had engaged in regular resistance exercise (>3 days per week) for a minimum of six months prior to testing. All participants were free from any musculoskeletal injury hindering participation in pull-up tasks. Ethical approval was provided by the institutions Human Ethics Committee, and all participants received verbal and written information prior to giving written consent. 2.2. EMG recording Disposable Ag-AgCl electrodes (Ambu, BlueSensor, Denmark) were placed in pairs over the skin and parallel to the fibres of the biceps brachii, brachioradialis, middle deltoid, upper pectoralis major, middle trapezius, lower trapezius, latissimus dorsi and infraspinatus muscles; with an inter-electrode spacing of 0.02 m (Fig. 1a and b). Prior to electrode placement each participant’s skin was shaved of any hair with a disposable single use razor, and vigorously cleansed with alcohol wipes until erythema was attained (Konrad, 2006). Raw EMG signals were collected with TeleMyo DTS wireless surface EMG sensors (Noraxon, Arizona, USA). Signals from the transmitter devices affixed to the skin were sent to a central receiver via Bluetooth. Data was collected at a sampling rate of 1000 Hz. Raw EMG signals were processed and analysed using MyoResearch XP (Noraxon, Arizona, USA). The raw EMG data was amplified by a gain of 1000 and filtered using a Lancosh FIR digital bandpass filter set at 10–500 Hz and then smoothed to a 50 ms root mean square (RMS) algorithm for EMGPEAK analysis. No data smoothing was performed for EMGARV analysis. A high definition camera (Logitech, HD C615, Switzerland) sampling at 30 Hz was synchronised to the EMG recording device via the MyoResearch XP software for analysis purposes. The brachioradialis electrodes were positioned 0.03 m lateral, and 0.04 m below the antecubital fossa. Electrodes for biceps brachii, middle deltoid, middle trapezius and lower trapezius were placed over the belly of each muscle in accordance with the recommendations of Hermens et al. (1999). Similarly, placement of the 31 upper pectoralis major, latissimus dorsi and infraspinatus were positioned using the recommendations of Bull et al. (2011), Hibbs et al. (2011), and Waite et al. (2010), respectively. All electrode pairs were placed on the participants hand dominant side, as motor control symmetry was assumed between both sides of the body (McGill et al., 2014). 2.3. Normalisation Familiarisation of all movements with visual EMG feedback was conducted, followed by a five minute rest period prior to MVIC performed against manual resistance for each movement (Hislop et al., 2014). This was in accordance with previously published best practice (Ekstrom et al., 2007; Lehman et al., 2004). The movements for MVIC were adopted from Hislop et al. (2014) and are detailed in the Supplementary Table. Participants performed three MVIC’s per muscle; all muscles were tested in a randomised order (Ekstrom et al., 2007; Garcia-Vaquero et al., 2012). Each MVIC was held for five seconds, with one minute rest between each repetition (Hibbs et al., 2011; Youdas et al., 2008). Peak EMG data, recorded during the pull-up variants was normalised to the average EMGPEAK from three MVIC’s. Additionally, EMGARV data recorded during the pull-up variants was normalised to the average EMGARV of three, 3 s timestamps (occurring in the middle of each MVIC) for each MVIC performed. 2.4. Pull-up protocols Testing was completed on a purpose built pull-up device with a bar diameter of 0.03 m. Participants were familiarised to each pull-up exercise by performing three repetitions of each grip orientation. Verbal instruction was provided to maintain correct technique throughout the movement. All pull-up grip orientations were performed in a randomised order. Each pull-up repetition was performed with a 2:2 concentric: eccentric tempo. The pronated grip pull-up was performed with the hands positioned on a 25° angle below the horizontal, and hands positioned 0.2 m outside the acromion processes. The neutral grip pull-up was performed with a neutral hand orientation on two parallel bars separated 0.24 m. The rope pull-up was performed on two lengths (0.15 m) of rope with knotted ends, separated 0.24 m apart, with a diameter of 0.032 m. Participants were required to grip the rope near the knotted ends, with a neutral hand positioning. Finally, the supinated grip pull-up was performed with the hands separated at biacromial distance. Refer to Fig. 2a–d for images of grip orientations. All EMG testing sessions took place within 24 h of familiarisation; participants were instructed not to exercise 48 h prior to testing. A standardised warm up consisting of 60 s light jogging, 60 s dynamic stretching of the shoulder girdle and glenohumearal joint, five push ups and a further 60 s light jogging. Following five minutes of rest, participants performed five repetitions of each pullup variant (pronated, neutral grip, supinated and rope), separated by five minutes rest between the different hand grips. Each pullup started with the elbows in full extension. Participants performed each pull-up variant, with exception of the rope pull-up, until their nose was just superior to the horizontal bar. The upward phase of the rope pull-up was completed when the participant’s elbows were by the side of their torso, and pointing directly downwards. Each pull-up repetition was completed when the participant had lowered their body to the starting position. Each pull-up task was performed in a randomised order. Visual inspection of the EMG signal and synchronised video were used to mark the concentric and eccentric phases of each movement. 32 J.A. Dickie et al. / Journal of Electromyography and Kinesiology 32 (2017) 30–36 Fig. 1. Electrode postioning on (a) anterior, and (b) posterior muscles of hand-dominant shoulder and arm. Fig. 2. Hand grip orientation for (a) wide grip pull-up, (b) neutral grip pull-up, (c) rope pull-up, and (d) chin-up. 2.5. Data analysis From the five pull-up repetitions, and to ensure an accurate representation of EMGPEAK muscle activity, data analysis was based upon the second, third and fourth repetition. Peak EMG for each muscle, during each pull-up variant, was averaged over the three consecutive repetitions; averaged data was then expressed as a percentage of MVIC (%MVIC). Average rectified variable muscle activity characterises changes in signal amplitude over time and was obtained by calculating the mean area under the EMG curve, and dividing by the elapsed time taken to perform that particular movement. Thus providing data pertaining to the level of muscle 33 J.A. Dickie et al. / Journal of Electromyography and Kinesiology 32 (2017) 30–36 pull-up (P = 0.001; ES = 1.29; Table 3). Statistical analysis of EMGPEAK and EMGARV for all other muscles and grip orientations revealed no significant differences (P > 0.05). Paired T-Tests revealed that concentric phases of all four pullup variants resulted in significantly greater EMGARV of the brachioradialis, biceps brachii, and pectoralis major in comparison to the eccentric phase (all, P < 0.01; Table 4). In addition to the three muscles mentioned above, the concentric phase of the pronated grip pull-up resulted in significantly greater EMGARV for the middle deltoid (P = 0.001) and lower trapezius (P = 0.001). Similarly, the lower trapezius displayed significantly greater EMGARV during the concentric phase of the supinated grip (P = 0.018) and rope pull-up (P = 0.015) variants. As demonstrated in Table 4, moderate to large effect sizes were reported between phases for a variety of muscles during the four pull-up exercises. activity required over an entire movement. This method of EMGARV analysis was performed separately for the concentric and eccentric phases, and full repetition of the pull-up variants. Visual inspection of EMG signal and synchronised video recordings were utilised to determine start/stop of the concentric and eccentric phases of the movement. 2.6. Statistical analysis A series of one-way analysis of variance (ANOVA) for each muscle were used to identify differences in both the EMGPEAK and EMGARV between the supinated grip, pronated grip, neutral grip, and rope pull-up exercises. Where appropriate, post hoc testing using Bonferroni multiple comparison analysis was performed to identify the specific differences. Alpha was set to P 6 0.05. Cohen’s d effect sizes (Cohen, 2013) were calculated for all comparisons and reported only where moderate or large effect sizes were revealed. Effect sizes (ES) were classified as small (ES = 0.20– 0.49), moderate (ES = 0.50–0.79), and large (ES P 0.80) (Cohen, 2013). Paired T-Tests were also performed separately for each muscle and grip to determine any differences in EMGARV between concentric and eccentric phases of each pull-up variant. All statistical analysis was performed using SPSS version 22.0 (SPSS Inc., Chicago, IL, USA). To ensure consistency for MVIC the coefficient of variation (CV) and intra-class coefficients (ICC) were reported between each participant’s three trials, for each muscle for both EMGPEAK and EMGARV (Rouffet and Hautier, 2008). The ICC‘s were calculated and reported using a Two-way random model, single measure form (ICC [2, 1]). The ICC’s were interpreted as excellent (>0.75), good (0.60–0.74) and fair (0.40–0.59) (Fleiss, 2011). The CV was calculated by dividing the standard deviation of the three MVIC’s by the mean for each particular muscle. The closer the CV to 0 the less variation observed between MVIC normalisation trials (Eldridge et al., 2006). 4. Discussion This study sought to determine whether different pull-up grips resulted in differing levels of EMGPEAK and EMGARV for particular muscles. With the exception of the middle trapezius, results showed that EMGPEAK and EMGARV of the shoulder-armforearm complex was similar irrespective of hand orientation during different variations of the pull-up exercise. Accordingly, the present study refutes the research hypothesis, and the common belief amongst fitness professionals, that differences in muscle activation would exist between pull-up variants (Leslie and Comfort, 2013). Although our results showed similar muscle activation of the biceps brachii to that reported by Youdas et al. (2010) during supinated and pronated grip pull-ups, analysis revealed the difference to be non-significant. Additionally, no significant differences existed for the upper pectoralis major or lower trapezius muscles. Previous research reports that muscle activation >50–60%MVIC is required to promote strength adaptation (Andersen et al., 2006; Kraemer et al., 2002; Youdas et al., 2010). Based on the observed EMGPEAK it may be inferred that pronated grip, supinated grip, neutral grip and rope pull-ups may not result in muscle activation sufficient to promote strength adaptation of the middle deltoid, upper pectoralis major and lower trapezius. Similarly, the EMGPEAK observed in the middle trapezius during supinated grip and neutral grip pull-ups is also below the previously identified level of activation to promote strength adaptation. Although pull-up variants may not be suitable to promote strength adaptation in the lower trapezius, they may be beneficial in the development of the muscle as a stabiliser during this type of resistance training. Interestingly, when analysing EMGARV during concentric and eccentric phases for each pull-up variant, some significant differences were apparent. Muscle activity of the brachioradialis, biceps brachii and pectoralis major was significantly higher during the concentric phase in comparison to the eccentric phase. This indicates that the aforementioned muscles undergo greater motor unit recruitment, and therefore exercise intensity, during the 3. Results The MVIC methods of normalisation displayed excellent reliability (ICC > 0.75) in all muscles for EMGARV. During EMGPEAK normalisation the biceps brachii and middle trapezius displayed good reliability (ICC 0.71 and 0.65), while all other muscles displayed excellent reliability (ICC > 0.75) for both EMGPEAK and EMGARV. Intra-subject CV’s were lower in EMGARV normalisation (0.09–0.13), than in the EMGPEAK normalisation (0.10–0.17). All ICC’s and CV’s for each muscle are reported in Table 1. One-way ANOVA revealed a significant main effect for EMGPEAK of the middle trapezius muscle (P = 0.008). Post hoc testing revealed that the middle trapezius was activated significantly more during the pronated grip pull-up when compared to the neutral grip pull-up (P = 0.004; ES = 1.19; Table 2). A significantly greater EMGARV was also observed for the middle trapezius during a full repetition of the pronated grip compared to the neutral grip Table 1 ICC’s and CV’s for each muscle during EMGARV and EMGPEAK MVIC normalisation. PM BB BR MD MT LT LD IS EMGARV CV ICC 0.09 0.93 0.10 0.83 0.11 0.97 0.13 0.93 0.12 0.83 0.09 0.91 0.12 0.93 0.12 0.85 EMGPEAK CV ICC 0.10 0.93 0.14 0.71 0.14 0.94 0.15 0.89 0.17 0.65 0.10 0.88 0.12 0.93 0.13 0.84 CV = coefficient of variation; ICC = intra-class coefficient; EMGARV = average rectified variable electromyography; EMGPEAK = peak electromyography; BR = brachioradialis; BB = biceps brachii; MD = middle deltoid; PM = upper pectoralis major; MT = middle trapezius; LT = lower trapezius; LD = latissimus dorsi; IS = infraspinatus. 34 J.A. Dickie et al. / Journal of Electromyography and Kinesiology 32 (2017) 30–36 Table 2 Peak muscle activity expressed as %MVIC (±SD) of the shoulder-arm-forearm complex during four pull up variants. BR Pronated grip Supinated grip Neutral grip Rope pull-up 97.4 89.8 93.5 96.2 BB (24.6) (24.6) (21.1) (21.7) 81.3 92.9 93.0 91.1 MD (28.0) (31.7) (30.5) (28.0) 12.7 15.8 23.4 23.1 PM (6.9) (13.8) (21.4) (14.8) 27.9 42.9 45.0 35.4 (21.9) (24.1) (22.0) (21.2) MT LT 60.1 (22.5) 49.2 (17.2) 37.1* (16.1) 51.2 (18.7) 47.5 42.4 40.9 40.7 LD (24.8) (19.4) (20.0) (20.0) 56.1 55.6 52.1 57.8 IS (18.6) (23.9) (15.6) (21.4) 56.4 55.8 52.1 61.1 (22.7) (22.5) (23.0) (25.9) %MVIC = percentage of maximal voluntary isometric contraction; BR = brachioradialis; BB = biceps brachii; MD = middle deltoid; PM = upper pectoralis major; MT = middle trapezius; LT = lower trapezius; LD = latissimus dorsi; IS = infraspinatus. * Muscle activity is significantly lower than highest reported peak EMG value for each particular muscle – P < 0.05. Table 3 Comparison of average rectified variable muscle activity expressed as %MVIC (±SD) during a full repetition (concentric and eccentric phases) of pull-up variants. BR Pronated grip Supinated grip Neutral grip Rope pull-up 79.4 66.4 73.1 71.4 BB (14.0) (19.9) (17.1) (12.8) 52.7 56.1 59.1 53.5 (20.2) (26.6) (29.1) (27.2) MD PM 7.8 (3.8) 7.9 (5.0) 10.4 (7.2) 11.6 (7.7) 13.7 19.0 22.9 16.3 (9.7) (12.1) (12.3) (8.7) MT LT 48.0 (21.2) 36.1 (12.1) 27.4* (10.7) 37.6 (13.7) 29.6 24.3 23.3 22.2 LD (15.0) (14.1) (11.6) (10.8) 40.8 36.6 33.7 42.1 IS (12.0) (15.3) (9.3) (14.2) 47.5 41.4 40.0 47.7 (17.9) (17.5) (16.5) (18.2) %MVIC = percentage of maximal voluntary isometric contraction; BR = brachioradialis; BB = biceps brachii; MD = middle deltoid; PM = upper pectoralis major; MT = middle trapezius; LT = lower trapezius; LD = latissimus dorsi; IS = infraspinatus. * Muscle activity is significantly lower than highest reported ARV value for each particular muscle – P < 0.05. Table 4 Comparison of average rectified variable muscle activity expressed as %MVIC (±SD) during concentric and eccentric phases of each pull-up variant. BB MD PM MT LT LD IS Pronated grip CON 86.8** (17.3) ECC 71.9 (15.7) ES 0.90 BR 67.5** (24.7) 37.9 (18.0) 1.39 9.1** (4.6) 6.6 (3.2) 0.64 17.2** (12.4) 10.2 (7.5) 0.70 49.3 (19.9) 46.6 (25.5) 0.12 34.2** (17.2) 25.0 (13.8) 0.59 41.7 (12.1) 39.8 (15.6) 0.14 49.1 (20.9) 45.8 (18.0) 0.17 Supinated grip CON 75.5** (20.9) ECC 57.3 (23.2) ES 0.83 73.5** (31.3) 38.8 (23.8) 1.26 8.0 (4.9) 7.8 (5.4) 0.04 27.4** (16.8) 10.7 (7.7) 1.36 35.1 (11.7) 35.1 (15.4) 0.00 27.3* (16.1) 21.3 (13.5) 0.41 36.7 (15.9) 36.4 (16.2) 0.02 41.8 (19.0) 40.9 (17.2) 0.05 Neutral grip CON 82.1** (17.4) ECC 64.1 (19.2) ES 0.98 76.4** (33.4) 41.9 (27.9) 1.13 10.1 (7.5) 10.8 (7.3) 0.09 32.4** (17.4) 13.3 (18.1) 1.08 27.5 (12.4) 27.3 (10.4) 0.02 25.7 (16.7) 20.1 (9.3) 0.43 35.1 (8.5) 32.3 (11.4) 0.28 41.4 (18.0) 37.9 (16.1) 0.19 Rope pull-up CON 86.9** (17.3) ECC 55.9 (12.5) ES 2.08 78.2** (36.3) 28.8 (19.0) 1.79 11.3 (7.9) 11.9 (8.1) 0.08 23.6** (12.5) 9.0 (5.8) 1.60 39.6 (13.9) 35.7 (14.9) 0.27 25.2* (13.6) 19.3 (9.3) 0.52 43.4 (15.0) 40.8 (16.8) 0.16 49.4 (19.6) 46.0 (17.9) 0.18 Effect sizes are calculated between the phases for each muscle for each pull up variant. ES = effect size; %MVIC = percentage of maximal voluntary isometric contraction; CON = concentric; ECC = eccentric; BR = brachioradialis; BB = biceps brachii; MD = middle deltoid; PM = upper pectoralis major; MT = middle trapezius; LT = lower trapezius; LD = latissimus dorsi; IS = infraspinatus. ** Muscle activity is significantly higher for the particular movement phase – P < 0.01. * Muscle activity is significantly higher for the particular movement phase – P < 0.05. concentric phase of the movement irrespective of pull-up grip. Comparatively, the middle trapezius, latissimus dorsi and infraspinatus work at similar levels of EMGARV during concentric and eccentric phases of each of the pull-up variations. The biceps brachii and brachioradialis appear to function as prime movers during the concentric phase of each pull-up variant, whereas the middle trapezius, latissimus dorsi and infraspinatus work consistently to control both the concentric and eccentric phases. When considering the full repetition EMGARV of the middle trapezius, a significant difference was only observed between the pronated and neutral grip pull-ups. The large effect size (ES = 1.19) indicates a biological difference between the aforementioned pull-up variants, and may be explained through differences in the line of action of the middle trapezius during a pronated grip pull-up. However, as motion analysis was not recorded in this study, we can only speculate the reason for the large effect size. Although the middle trapezius was the most common muscle that distinguished between pronated and neutral grip pull-ups, it was not the most highly activated muscle (Tables 1 and 2), whereas the brachioradialis was, highlighting the importance of this muscle during all pull-up variants. There remains a current lack of agreement on the most reliable method of normalisation among EMG studies (Norcross et al., 2010). However, numerous studies have identified that MVIC normalisation results in the least variability of data when processing EMG (Bolgla and Uhl, 2005; Burden, 2010; Burden and Bartlett, 1999). As shown in our reported ICC’s from the three MVIC trials we are confident that this method of normalisation resulted in a consistent measure of EMG amplitude across trials. Using the MVIC method, normalisation facilitates comparisons between muscles, participants and exercises; however, when comparing between studies, the techniques used by investigators to obtain their MVIC may remain a major delimiting factor for comparison (Burden, 2010). Regardless of this, the good to excellent ICC’s and narrow CV’s demonstrated that the MVIC procedure used in this present study was consistent across muscle groups and participants. Given the methodical limitations of previous studies there is limited research examining the degree of muscle activation during J.A. Dickie et al. / Journal of Electromyography and Kinesiology 32 (2017) 30–36 pull-up variants. The only significant differences in observed EMGPEAK and EMGARV during an entire pull-up repetition existed in the middle trapezius, which was not activated to a large percentage of MVIC in the researched movements. 4.1. Limitations Previous studies have utilised different protocols to obtain MVIC, making comparisons between studies difficult (Lehman et al., 2004; Signorile et al., 2002; Youdas et al., 2010). In the presented research, MVIC was utilised as a reference for comparing to dynamic activities; however, precise guidelines were followed in order to reduce inter-individual variability and increase reliability, as reflected in our reported ICC’s and CV’s between trials (Ekstrom et al., 2007; Hislop et al., 2014; Konrad, 2006). This research also required participants to use a controlled tempo, whereas muscle activity patterns could be different had participants been able to self-select their movement speed. Furthermore, there may be other muscle groups not investigated in the present study but which may demonstrate greater differences in EMG responses between the pull-up variants. Some differences in muscle activation between participants may have resulted from differences in limb length. Our method required hand positioning during the pronated grip pull-up to be 0.02 m outside the acromion process. Although this standardisation procedure resulted in small variations of biacromial distance between participants, differences in limb length may have resulted in a wider or narrower grip for certain subjects, and is a limitation of this study. However, this grip width is a standard hand position that many individuals performing this exercise would employ (Leslie and Comfort, 2013). 5. Conclusion This research showed that pronated grip pull-ups are superior in recruiting the middle trapezius when compared to the neutral grip pull-up. Peak and EMGARV of the brachioradialis, biceps brachii, middle deltoid, upper pectoralis major, lower trapezius, latissimus dorsi and infraspinatus was similar across all other pull-up variations. Furthermore, EMGPEAK muscle activation appears sufficient to promote adaptation in the brachioradialis, biceps brachii, latissimus dorsi and infraspinatus muscles, regardless of hand orientation. The degree of middle trapezius muscle activity during the pronated grip and rope pull-ups indicates that these grip orientations may also promote strength adaptation of the aforementioned muscle. However, this was not evident for the supinated and neutral grip pull-ups. Based on these findings it appears all four pullup grips will elicit similar strength adaptations when implemented in resistance training settings. Conflict of interest The authors declare no conflict of interest. Appendix A. Supplementary material Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.jelekin.2016.11. 004. References Andersen, L.L., Magnusson, S.P., Nielsen, M., Haleem, J., Poulsen, K., Aagaard, P., 2006. Neuromuscular activation in conventional therapeutic exercises and heavy resistance exercises: implications for rehabilitation. Phys. Ther. 86 (5), 683–697. 35 Bolgla, L.A., Uhl, T.L., 2005. Electromyographic analysis of hip rehabilitation exercises in a group of healthy subjects. J. Orthop. Sports Phys. Ther. 35 (8), 487–494. Bull, M., Ferreira, M., Vitti, M., 2011. Electromyographic validation of the muscles deltoid (anterior portion) and pectoralis major (clavicular portion) in military press exercises with middle grip. J. Morphol. Sci., 240–245 Burden, A., 2010. How should we normalize electromyograms obtained from healthy participants? What we have learned from over 25 years of research. J. Electromyogr. Kinesiol. 20 (6), 1023–1035. Burden, A., Bartlett, R., 1999. Normalisation of EMG amplitude: an evaluation and comparison of old and new methods. Med. Eng. Phys. 21 (4), 247–257. Cohen, J., 2013. Statistical Power Analysis for the Behavioural Sciences. Academic Press. De Luca, C.J., 1997. The use of surface electromyography in biomechanics. J. Appl. Biomech. 13 (2), 135–163. Ekstrom, R.A., Donatelli, R.A., Carp, K.C., 2007. Electromyographic analysis of core trunk, hip, and thigh muscles during 9 rehabilitation exercises. J. Orthop. Sports Phys. Ther. 37 (12), 754–762. http://dx.doi.org/10.2519/jospt.2007.2471. Eldridge, S.M., Ashby, D., Kerry, S., 2006. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method. Int. J. Epidemiol. 35 (5), 1292–1300. Fleiss, J.L., 2011. Design and Analysis of Clinical Experiments, vol. 73. John Wiley & Sons. Floyd, R.T., 2012. Manual of Structural Kinesiology. McGraw-Hill, New York, NY. Garcia-Vaquero, M.P., Moreside, J.M., Brontons-Gil, E., Peco-Gonzalez, N., VeraGarcia, F.J., 2012. Trunk muscle activation during stabilization exercises with single and double leg support. J. Electromyogr. Kinesiol. 22 (3), 398–406. http:// dx.doi.org/10.1016/j.jelekin.2012.02.017. Hermens, H.J., Freriks, B., Merletti, R., Stegeman, D., Blok, J., Rau, G., DisselhorstKlug, C., Hägg, G., 1999. European recommendations for surface electromyography. Roessingh Res. Dev. 8 (2), 13–54. Hibbs, A.E., Thompson, K.G., French, D.N., Hodgson, D., Spears, I.R., 2011. Peak and average rectified EMG measures: which method of data reduction should be used for assessing core training exercises? J. Electromyogr. Kinesiol. 21 (1), 102–111. http://dx.doi.org/10.1016/j.jelekin.2010.06.001. Hislop, H.J., Avers, D., Brown, M., Daniels, L., 2014. Daniels and Worthingham’s Muscle Testing: Techniques of Manual Examination and Performance Testing. Elsevier, Missouri. Konrad, P., 2006. The ABC of EMG: A Practical Introduction to Kinesiological Electromyography. Noraxon, USA. Kraemer, W.J., Adams, K., Cafarelli, E., Dudley, G.A., Dooly, C., Feigenbaum, M.S., Fleck, S.J., Franklin, B., Fry, A.C., Hoffman, J.R., Newton, R.U., Potteiger, J., Stone, M.H., Ratamess, N.A., Triplett-McBride, T., 2002. American college of sports medicine position stand. Progression models in resistance training for healthy adults. Med. Sci. Sports Exerc. 34 (2), 364–380. Lehman, G.J., Buchan, D.D., Lundy, A., Myers, N., Nalborczyk, A., 2004. Variations in muscle activation levels during traditional latissimus dorsi weight training exercises: an experimental study. Dynam. Med. 3 (1), 4. http://dx.doi.org/ 10.1186/1476-5918-3-4. Leslie, K.L.M., Comfort, P., 2013. The effect of grip width and hand orientation on muscle activity during pull-ups and the lat pull-down. Strength Cond. J. 35 (1), 75–78. http://dx.doi.org/10.1519/Ssc.0b013e318282120e. McGill, S., Andersen, J., Cannon, J., 2014. Muscle activity and spine load during anterior chain whole body linkage exercises: the body saw, hanging leg raise and walkout from a push-up. J. Sports Sci., 1–8 http://dx.doi.org/10.1080/ 02640414.2014.946437. Norcross, M.F., Blackburn, J.T., Goerger, B.M., 2010. Reliability and interpretation of single leg stance and maximum voluntary isometric contraction methods of electromyography normalization. J. Electromyogr. Kinesiol. 20 (3), 420–425. Ricci, B., Figura, F., Felici, F., Marchetti, M., 1988. Comparison of male and female functional-capacity in pull-ups. J. Sports Med. Phys. Fitness 28 (2), 168–175. Ronai, P., Scibek, E., 2014. The pull-up. Strength Cond. J. 36 (3), 88–90. Rouffet, D.M., Hautier, C.A., 2008. EMG normalization to study muscle activation in cycling. J. Electromyogr. Kinesiol. 18 (5), 866–878. Signorile, J.F., Zink, A.J., Szwed, S.P., 2002. A comparative electromyographical investigation of muscle utilization patterns using various hand positions during the lat pull-down. J. Strength Cond. Res. 16 (4), 539–546. Vanderburgh, P.M., Flanagan, S., 2000. The backpack run test: a model for a fair and occupationally relevant military fitness test. Mil. Med. 165 (5), 418–421. Waite, D.L., Brookham, R.L., Dickerson, C.R., 2010. On the suitability of using surface electrode placements to estimate muscle activity of the rotator cuff as recorded by intramuscular electrodes. J. Electromyogr. Kinesiol. 20 (5), 903–911. Williams, A.G., Rayson, M.P., Jones, D.A., 1999. Effects of basic training on material handling ability and physical fitness of British Army recruits. Ergonomics 42 (8), 1114–1124. http://dx.doi.org/10.1080/001401399185171. Youdas, J.W., Amundson, C.L., Cicero, K.S., Hahn, J.J., Harezlak, D.T., Hollman, J.H., 2010. Surface electromyographic activation patterns and elbow joint motion during a pull-up, chin-up, or Perfect-Pullup (Tm) rotational exercise. J. Strength Cond. Res. 24 (12), 3404–3414. http://dx.doi.org/10.1519/ Jsc.0b013e3181f1598c. Youdas, J.W., Guck, B.R., Hebrink, R.C., Rugotzke, J.D., Madson, T.J., Hollman, J.H., 2008. An electromyographic analysis of the Ab-Slide exercise, abdominal crunch, supine double leg thrust, and side bridge in healthy young adults: implications for rehabilitation professionals. J. Strength Cond. Res. 22 (6), 1939– 1946. http://dx.doi.org/10.1519/Jsc.0b013e31818745bf. 36 J.A. Dickie et al. / Journal of Electromyography and Kinesiology 32 (2017) 30–36 View publication stats James Dickie, MSc received his Masters degree in Science from Massey University in 2015. He is currently embarking on a PhD in Sport Science, and also works as a strength and conditioning coach with the Wellington Lions and Hurricanes rugby teams. Matthew Barnes, PhD received his PhD from Massey University in 2012 and is a Senior Lecturer in the School of Sport and Exercise at Massey University. His research expertise is in the field of sports performance, resistance exercise and skeletal muscle recovery. James Faulkner, PhD is a Senior Lecturer in Sport and Exercise Physiology at the University of Winchester. James attained his Bachelor’s (Hons) degree in Sport and Exercise Sciences, and both his Master’s and Doctorate in Sport and Health Sciences at the University of Exeter. Prior to his arrival at the University of Winchester, James worked as a Senior Lecturer in Sport and Exercise Sciences at Massey University, New Zealand (20092014). Sally Lark, PhD is a Senior Lecturer in the School of Sport and Exercise at Massey University. She attained two Bachelor of Science degrees from Auckland University, and University of Salford and received a Masters of Medical Science from Queens University Belfast. Sally received her PhD from Manchester Metropolitan University in 2001. Her research expertise includes musculoskeletal physiology, clinical exercise physiology and exercise assessment and rehabilitation.