Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Comparing the effects of dynamic and holding isometric contractions on cardiovascular, perceptual, and near-infrared spectroscopy parameters: A pilot study

  • Daniel Santarém ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

    danielrs@utad.pt

    Affiliation Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal

  • Isabel Machado,

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – review & editing

    Affiliations Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, UTAD, Vila Real, Portugal

  • Jaime Sampaio,

    Roles Data curation, Formal analysis, Resources, Supervision, Validation, Visualization, Writing – review & editing

    Affiliations Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, UTAD, Vila Real, Portugal

  • Catarina Abrantes

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing

    Affiliations Department of Sports Science, Exercise and Health, University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, UTAD, Vila Real, Portugal

Abstract

The aim of this pilot study was to assess the effect of muscle contraction type on SmO2 during a dynamic contraction protocol (DYN) and a holding isometric contraction protocol (ISO) in the back squat exercise. Ten voluntary participants (age: 26.6 ± 5.0 years, height: 176.8 ± 8.0 cm, body mass: 76.7 ± 8.1 kg, and one-repetition maximum (1RM): 112.0 ± 33.1 kg) with back squat experience were recruited. The DYN consisted of 3 sets of 16 repetitions at 50% of 1RM (56.0 ± 17.4 kg), with a 120-second rest interval between sets and 2 seconds per movement cycle. The ISO consisted of 3 sets of 1 isometric contraction with the same weight and duration as the DYN (32 seconds). Through near-infrared spectroscopy (NIRS) in the vastus lateralis (VL), soleus (SL), longissimus (LG), and semitendinosus (ST) muscles, the minimum SmO2 (SmO2 min), mean SmO2 (SmO2 avg), percent change from baseline (SmO2 Δdeoxy) and time to recovery 50% of baseline value (t SmO2 50%reoxy) were determined. No changes in SmO2 avg were found in the VL, LG, and ST muscles, however the SL muscle had lower values in DYN, in the 1st set (p = 0.002) and in the 2nd set (p = 0.044). In terms of SmO2 min and ΔSmO2 deoxy, only the SL muscle showed differences (p≤0.05) and lower values in the DYN compared to ISO regardless of the set. The t SmO2 50%reoxy was higher in the VL muscle after ISO, only in the 3rd set. These preliminary data suggested that varying the type of muscle contraction in back squat with the same load and exercise time resulted in a lower SmO2 min in the SL muscle in DYN, most likely because of a higher demand for specialized muscle activation, indicating a larger oxygen supply-consumption gap.

Introduction

The back squat is one of the most popular exercises in training sessions, being mostly constrained by the differences in body types, leg length, and ankle mobility [1]. During this exercise, the vastus lateralis (VL) muscle act as primary mover, longissimus (LG) and semitendinosus (ST) muscles act as stabilizers, and soleus (SL) muscle act as secondary capacity [24].

Differences in muscle activity during dynamic and isometric squat exercise have been poorly studied [5]. Concerning the mechanical action of the muscles, while dynamic exercise is characterised by changes in skeletal muscle length and joint movement with rhythmic contractions that raise a relatively small intramuscular force, the isometric exercise induces a relatively large intramuscular force with little or no change in skeletal muscle length or joint movement [6]. On the one hand, dynamic contractions are defined by concentric and eccentric muscle actions, with a relatively easy differentiation. On the other hand, isometric contractions can also take two forms, as holding muscle action, related to holding an inertial load, and pushing isometric muscle action, related to pushing against a stable resistance [7]. Of these two modes of isometric manifestation, holding muscle actions are the easier to apply and evaluate, however, both are rarely the subject of research study in this area. Moreover, as the dynamic strength exercise is considered the most favourable exercise mode for strength gains that will later positively influence sports related to dynamic performance [8], the isometric strength training is considered a feasible alternative mode of training that induces less fatigue, superior angle specific strength and benefit various sports related to dynamic performance [9]. Since dynamic contraction exercises are most frequently included in resistance training programs in different populations [10, 11], isometric training enables a precisely regulated application of force within pain‐free joint angles, with application in different clinical and training scenarios.

Monitoring training is becoming indispensable to fine-tune the dose-response and, ultimately, improving performance. Muscle oxygen saturation (SmO2) has been gaining emphasis as a local muscle measurement at rest and during exercise [12], not only in terms of sports performance [13] but also in terms of health [14, 15]. Near-infrared spectroscopy (NIRS) is a non-invasive method that continuously monitors information about the changes in oxygenation and haemodynamics in muscle tissue [16]. The SmO2 reflects the dynamic balance between oxygen supply and oxygen consumption in the examined muscle [17]. SmO2-derived parameters such as percentage deoxygenation (ΔSmO2 deoxy) and reoxygenation time to 50% (t SmO2 50%reoxy) may be critical aspects in training planning and monitoring, where a higher ΔSmO2 deoxy and a shorter t SmO2 50%reoxy time may be associated with better performance. During exercise, SmO2 kinetics can be different depending on several factors, including velocity and intensity of contraction [18], muscle fascicle length and fascicle angle [19], and type of fiber present in the muscle [20]. However, the effect of type of muscle contraction (dynamic and isometric) has been barely explored.

In order to solve the lack of information during resistance training and more precisely the influence of different types of muscle contraction and its effects on the balance between oxygen supply and consumption, the aim of this study was to compare the variations in SmO2 between dynamic and holding isometric contractions in the back squat exercise. As a secondary objective, we investigated the effect of muscular contraction type along the 3 sets. Thus, it was hypothesized that different types of muscle contractions would induce distinct responses in SmO2.

Material and methods

Participants

Ten participants (age: 26.6 ± 5.0 years; body mass: 76.7 ± 8.1 kg; body height: 176.8 ± 8.0 cm) volunteered to participate in this study (Table 1) and met the following inclusion criteria: i) familiarization with back squat exercise; ii) physically active, according to the recommendations of the World Health Organization; iii) without musculoskeletal injuries that could affect the protocol procedures; and iv) apparently healthy. Exclusion criteria included: i) lower limb injuries in the last year; and ii) anterior lumbar back injury. None of them had any history or clinical signs of cardiovascular or pulmonary disease. Skinfold thickness was measured at the sites of placement of the NIRS devices, using a skinfold caliper (Slim Guide, EUA), to ensure that skinfold thickness was less than 15 mm [21]. In addition, only Caucasians were selected because melanin skin can affect the signal strength of NIRS technology [12]. Before the study started, all participants were informed about the study procedures, provided written informed consent, and completed the Physical Activity Readiness Questionnaire. The protocol was approved by the ethics committee of the University of Trás-os-Montes and Alto Douro (Doc94-CE-UTAD-2021), in accordance with the Declaration of Helsinki.

thumbnail
Table 1. Physical and physiological characteristics of the participants (n = 10).

https://doi.org/10.1371/journal.pone.0281885.t001

Test procedure

This research was conducted in a sports physiology laboratory, under controlled environmental conditions. The participants were instructed not to perform moderate-vigorous intensity physical activity during the 24h before the experiment. They were advised to avoid ingesting alcohol, caffeine, tobacco, or other stimulants and food 3h prior to the test.

Each participant went to the lab on three occasions with at least a 48-h interval between sessions, with all testing procedures performed by the same researcher. During the first session, the participants were clarified about the experimental procedures, signed the informed consent, and made a familiarisation with the exercise protocol and one-repetition maximum (1RM) test. In the second session 1RM in the back squat was determined according to Kraemer and Fry’s methodology [22]. In the third session, the two exercise protocols were randomly performed. Before the first protocol, a 10-minute rest in a seated position with back support and feet on the floor was taken and a standardized warm-up was performed (12 alternating knee elevations, 12 alternating knee flexions, 10 jumping jacks, 10 dynamic squats, 12 alternating lunges, 1 isometric squat with a duration of 10 seconds, 12 alternating lunges and 2 minutes of free warm-up). After that, a rest time of 5 minutes has been provided. Between protocols, participants take 10 minutes of passive rest, then a re-warm-up was conducted (10 dynamic squats, 12 alternating lunges, 1 isometric squat with a duration of 10 seconds, and 12 alternating lunges) and retake a seated position for 2 minutes to stabilise the physiological variables.

The dynamic contractions protocol (DYN) consisted of 3 sets of 16 repetitions at 50% of 1RM. The cadence was set at 60 beats per minute using a digital metronome at a tempo of 1 second for both concentric and eccentric contractions with a 120-second rest interval between sets. The participants assumed an initial stance position with feet placed approximately shoulder-width apart and the bar placed on the trapezius muscle (high-bar position). The squat movement started from an upright position, with knees and hips fully extended. Then, they squatted down until the knee angle was 90° measured with a digital goniometer (Halo, Daviscomms, Techpark, Singapura) placed at the knee joint, and returned to the initial position. Thus, to increase the consistency of the squat, an elastic band was hung at 90° of knee flexion so that participants know when the descent phase ended, and the ascent phase started. In the isometric contractions protocol (ISO), participants performed 3 sets of 1 isometric contraction at 50% of 1RM. The isometric contraction time was the same as DYN, corresponding to 32 seconds. The critical components for the correct movement execution were the same as DYN, with the particularity that the participants were instructed to adopt a knee angle of 90°, confirmed before every set using the goniometer. Moreover, the elastic band was also placed at that angle. For both protocols, each set was visually monitored, and verbal instructions were transmitted to ensure proper technique.

The protocol procedures of the evaluation sessions are represented in Fig 1.

thumbnail
Fig 1. Schematic representation of the experimental procedures.

DYN, dynamic contractions protocol; ISO, isometric contractions protocol; BP, blood pressure; RPE, rate of perceived exertion; HR, heart rate; NIRS, near-infrared spectroscopy.

https://doi.org/10.1371/journal.pone.0281885.g001

Muscle oxygen saturation measurement.

During the tests, data was collected continuously using a validated and reliable portable wireless NIRS device (MOXY, Fortiori Design LLC, Hutchinson, MN, USA), which applies continuous light from near-infrared wavelength spectrum (light from about 680–810 nm). The distance between the emitter and the two detectors is 12.5 and 25.0 mm. With resource to both Beer-Lambert Law and spatial resolution method, the Moxy Monitor estimates SmO2 and total hemoglobin (tHb) levels in muscle capillaries below its point of position. By default, the NIRS data is acquired with a frequency of 0.5 Hz. Four NIRS sensors were placed on the muscles on the dominant side of the participants: in LG, at 2 finger width lateral from the spinous process of L1; in SL, at 2/3 of the line between the medial condyle of the femur to the medial malleolus; in ST, at 50% on the line between the ischial tuberosity and the medial epicondyle of the tibia; and in VL, at 2/3 on the line from the anterior superior iliac spinae to the lateral side of the patella, according to the SENIAM project for electromyography measurements [23] and were marked with a permanent marker to record and replicate for the consequent sessions. The emitter and detectors were placed parallel to the direction of muscle fibers. To attach and protect from environmental light intrusion, the NIRS sensors were fixed with the material suggested by the manufacturer and an athletic tape.

The NIRS devices and heart rate belt were connected to a computer via ANT+ technology for data visualization, with the use of SPro software (RealTrack Systems, Almería, Spain). An inertial device WIMU PRO (RealTrack Systems, Almería, Spain) was used to synchronise the data from NIRS devices and the heart rate belt.

Muscle oxygen saturation parameters assessment.

SmO2 parameters were determined through SPro software and Microsoft Excel for Windows, and are presented in Fig 2.

thumbnail
Fig 2. Representative example of SmO2-derived parameters, based on information from the author.

SmO2 baseline, baseline of muscle oxygen saturation; ΔSmO2 deoxy, amplitude of muscle oxygen deoxygenation; SmO2 min, minimum of muscle oxygen saturation; t SmO2 50%reoxy, time to recover 50% of muscle oxygen saturation; SmO2 50%reoxy, 50% of muscle oxygen reoxygenation.

https://doi.org/10.1371/journal.pone.0281885.g002

SmO2 baseline was calculated using the average of the last 20 seconds preceding the exercise. The minimum SmO2 value (SmO2 min) was defined as the minimum value achieved after the implementation of the stimulus. SmO2 average (SmO2_avg) represented the average value during the set. ΔSmO2 deoxy was set as the difference between baseline SmO2 and SmO2 min. t SmO2 50%reoxy was defined as the time from SmO2_min up to 50% of the baseline value. The minimum tHb value (tHb min) was defined as the minimum value achieved after the implementation of the stimulus, and the average tHb (tHb avg) represented the average value during the set.

Blood pressure (BP).

BP was measured once, immediately after each set, using an electronic blood pressure monitor (Omron 705IT, Healthcare CO., Ukyoku, Kioto, Japan). This measurement was done in a seated position with the back supported, and with the left arm supported at heart level. Mean arterial pressure (MAP) is defined as the average arterial pressure over one cardiac cycle, systole, and diastole, and was calculated using the following formula: MAP = ((2(DBP)+SBP)/3, where DBP represents the diastolic blood pressure and SBP the systolic blood pressure.

Heart rate (HR).

HR was monitored continuously from a heart rate belt (Garmin, Soft Strap Premium, Lenetsa, KS, USA). Rate pressure product (RPP) was calculated by multiplying the values for HR and SBP measured after each set.

Perceived exertion (RPE).

The 15-point Rate of Perceived Exertion 6–20 (Borg RPE scale 6–20) Portuguese version was used to determine the perceived exertion [24]. Participants were asked to report an overall (RPEove) and local lower limbs (RPEmus) perceived exertion after each set. A rating of 6 was correspondent with no exertion at all and a rating of 20 was correspondent with maximal exertion.

Statistical analysis

The Shapiro-Wilk test was used to test the distribution of the data. Paired samples t‑test and related samples Wilcoxon signed‑rank test (the corresponding non-parametric test) were used to compare the outcomes between both testing protocols. The effect of type of muscle contraction over the 3 sets was assessed by repeated measures ANOVA and Friedman test (the equivalent non-parametric test), followed by the Bonferroni post hoc test to identify significant differences between each pairwise (p≤0.05). Effect size (ES) values of ≤0.2, between 0.21, and 0.8, and >0.8 were classified as small, moderate, and large, respectively, in paired samples t-test, repeated measures ANOVA and Friedman test [25], and in Wilcoxon signed‑rank test, ES values of ≤0.147, between 0.147, and 0.330, between 0.330 and 0.474, and ≥0.474 were classified as negligible, small, medium, and large, respectively [26]. Analyses were performed using SPSS software V27.0 (IBM SPSS Statistics for Windows, Armonk, NY: IBM Corp.) and the results were presented as means ± standard deviation (SD) when they presented normal distribution, or median (25th - 75th percentiles) when those assumptions failed.

Results

SmO2 responses between muscle contraction types and between the 3 sets

The SmO2 avg, SmO2 min, ΔSmO2 deoxy and t SmO2 50%reoxy values in response to both types of muscle contractions are shown in Fig 3.

thumbnail
Fig 3.

SmO2 avg (a), SmO2 min (b), ΔSmO2 deoxy (c) and t SmO2 50%reoxy (d) results. DYN, dynamic contraction protocol; ISO, isometric contraction protocol; VL, vastus lateralis; SL, soleus; LG, longissimus; ST, semitendinosus. * p≤0.05.

https://doi.org/10.1371/journal.pone.0281885.g003

In DYN, the SL muscle SmO2 avg (54.5 ± 18.3%) was lower compared to the ISO (67.4 ± 18.0%) in 1st set, t(9) = -4.342, p = 0.002, ES = -1.37, and in the 2nd set (55.2 ± 19.0% vs. 62.8 ± 18.2%), t(9) = -2.341, p = 0.044, ES = -0.74. No differences were observed on SmO2 avg in the VL, LG and ST muscles between protocols. No significant differences were seen between sets in each protocol.

The SL muscle SmO2 min was lower in DYN when compared to the ISO in the 1st set (31.3 ± 11.8% vs. 43.1 ± 9.4%), t(9) = -2.563, p = 0.031, ES = -0.81, in the 2nd set (27.6 ± 11.5% vs. 40.9 ± 15.1%), t(9) = -3.786, p = 0.004, ES = -1.20, and in the 3rd (27.5 ± 13.3% vs. 41.1 ± 14.8%), t(9) = -3.423, p = 0.008, ES = -1.08. It means that the DYN promotes lower values in this muscle. No differences were observed on SmO2 min in the VL, LG and ST muscles, neither between sets.

In the ΔSmO2 deoxy, the DYN presented lower values compared to the ISO in all sets in SL muscle: 1st set, 32.6 ± 25.4% vs. 20.6 ± 15.2%, t(8) = 2.995, p = 0.017, ES = 1.00; 2nd set, 31.9 ± 25.1% vs. 13.2 ± 6.2%, t(8) = 2.947, p = 0.019, ES = 0.98; and 3rd, 34.6 ± 25.8% vs. 13.5 ± 7.7%, t(8) = 2.412, p = 0.042, ES = 0.80. No differences were observed in the other muscles or between sets.

The t SmO2 50%reoxy in VL of the ISO was higher compared with the DYN in the 3rd set (34.2 ± 14.4 s vs. 26.1 ± 12.2 s), t(9) = -2.565, p = 0.030, ES = -0.81. No differences were identified in the other muscles. No differences were observed in tHb avg and tHb min between the two exercise modes.

Cardiovascular, haemodynamic, and subjective responses to back squat exercise

Exercise and post-exercise HR, MAP, RPP, RPEove, and RPEmus main findings are shown in Table 2.

thumbnail
Table 2. Cardiovascular, haemodynamic and perceived exertion responses to dynamic contraction protocol (DYN) and isometric contraction protocol (ISO).

https://doi.org/10.1371/journal.pone.0281885.t002

In DYN, HR was significantly higher when compared to ISO during the 3rd set, Z = -2.397, p = 0.017, ES = 0.86. There was a statistically significant effect of sets on HR in DYN, F(2,9) = 4.88, p = 0.041, η2 = 0.011, presenting lower values on the 1st set in relation to the 3rd set (120.3 ± 15.9 bpm vs. 123.6 ± 16.2 bpm, p = 0.048) and on the 2nd set in relation to the 3rd set (120.4 ± 15.1 bpm vs. 123.6 ± 16.2 bpm, p = 0.09). MAP was significantly higher in DYN compared to ISO in the 2nd set, t(8) = 3.195, p = 0.013, ES = 1.07 and in the 3rd set, t(8) = 2.909, p = 0.020, ES = 0.97. No significant differences were found between sets in each protocol. MAP is related to the overall perfusion pressure. RPP was significantly higher in DYN when compared to ISO in the 2nd, t(8) = 2.468, p = 0.039, ES = 0.82. There was significant main effect of sets on RPP in DYN, F(2,8) = 5.36, p = 0.016, η2 = 0.063, exhibiting lower values on the 1st set compared to the 2nd set (14026.0 ± 2396.2 mmHg · bpm vs. 1583.7 ± 2764.1 mmHg · bpm, p = 0.002). Although no significant differences were observed in RPEove between protocols, there was a statistically significant effect of sets in DYN, χ2(2) = 6.65, p = 0.036, presenting lower values on the 1st set in relation to the 3rd set (13.5 [12.0–14.8] vs. 14.0 [13.0–15.0] a.u., p = 0.009). RPEmus was significantly higher in ISO compared to DYN in the 3rd, Z = -2.388, p = 0.017, ES = -1.00. No significant differences were seen between sets in each protocol. Still, the ISO showed a trend of higher RPE values compared to the DYN, in all sets.

Discussion

This study provided preliminary data and evidence about the effect of the type of contraction on SmO2-derived parameters, through a 3 sets back squat strength protocol, in four muscle groups simultaneously: VL, SL, ST, and LG. Cardiovascular, haemodynamic, and subjective responses were also compared between the dynamic and isometric contractions and between the sets. The main findings of the present study were that (i) SmO2 avg showed significantly lower values during DYN compared to ISO in the SL muscle during the 1st and the 2nd set; (ii) SmO2 min was significantly lower during DYN compared to ISO in SL muscle in all sets; (iii) ΔSmO2 deoxy presented also significant differences in all sets, being higher in DYN compared to ISO; (iv) t SmO2 50%reoxy after ISO was significantly longer compared to DYN in the VL muscle after the 3rd set; (v) in cardiovascular and haemodynamic parameters, i.e., HR and MAP, the DYN induced higher values in comparison to the ISO in the 3rd set and in MAP it was also in the 2nd set, while in RPP was in the 2nd set; and (vi) RPEmus, was higher in ISO vs. DYN in every set.

At a physiological level, the use of different contraction modes can induce distinct SmO2-derived parameters behaviour. Whereas a dynamic contraction is characterised by contraction-relaxation cycles, with blood flow being affected in the contraction phase and increasing in the relaxation phase, isometric contraction induces a constant intramuscular pressure [2730] which, depending on the load magnitude, may partially or totally restrict blood flow. Taking this into account and that the contribution of these 4 muscles to the back squat performance is different, so do the SmO2 response, which reflects the balance between oxygen delivery and oxygen demand [17]. Within isometric contraction, the two existing forms can manifest different cardiovascular and muscular responses. For example, holding muscle action induces higher mean arterial pressure when compared with pushing muscle action [31]. The amplitude of variation of the mechanical muscular oscillations seems to be greater during holding muscle action in relation to pushing muscle action in muscles that present stabilizing function [32] and in prime movers it is the inverse.

The SmO2 avg only showed differences in the SL muscle when contraction type is compared. These results may be due to innumerable factors, highlighting inter-individual muscle recruitment, which could only be accessed through electromyography (a method not used in our study). As in previous studies [33], these differences were observed in the first sets, probably due to a hyperemic response and an overshoot of SmO2 factors that influence the response in subsequent sets [34].

Regarding SmO2 min, the SL muscle presented lower values in DYN, suggesting that this muscle is sensitive to contraction types in this variable during the back squat. The increase in intramuscular pressure which occurs at the expense of dynamic contractions can reduce blood flow, leading to a state of transient muscular hypoxia [35]. This reduction in blood flow which decreases the transport of oxygen to the muscle, in accordance with the greater energy expenditure by dynamic contractions in relation to isometric contractions with an equivalent load [36], produced lower minimum values. Although it was not the focus of our investigation, the SL muscle was the only one to show statistically significant differences and this may be due to several factors. The SL muscle, in relation to the VL and ST muscles, has higher penation angles [37], and a higher penation angle will increase the intramuscular pressure, decreasing the blood flow and consequently decreasing the value of SmO2. On the other hand, the muscle fibers recruitment also seems to affect the SmO2, with the recruitment of type I fibers reaching lower values of SmO2 in relation to the recruitment of the other muscle fibers [20]. Since the SL muscle is the one with the highest number of type I fibers [3841] this may be another explanation for the difference between muscles, however, only speculative.

The ΔSmO2 deoxy showed higher values in DYN, due to the fact that this variable it is closely related to the SmO2 min value. Some authors argue that this variable, in line with others, i.e., HR, and blood lactate, can provide additional information regarding improvements in athlete performance [4145]. This means that after an intervention program, the increase in deoxygenation is a favourable indicator. Only two studies compared this variable with the increment of dynamic and isometric contractions, using an equivalent load, and one of the studies did not show differences [36] while the other did [46], the latter corroborated by the results obtained in this study.

The calculation of the recovery time from SmO2 can provide valuable information to define the interval time until the exercise is started again. This is because, although not evaluated directly, the phosphocreatine system has been related to SmO2, both at the level of depletion and re-synthesis [34, 47]. In the 3rd set, the VL muscle showed a recovery time up to 50% of the baseline value which was significantly longer after the implementation of ISO. In training and performance context, a longer recovery time for VL and ST with dynamic contractions, and for SL and LG with isometric contractions could be usefull, until the beginning of the next sets.

Regarding tHb, it is important to know that it is not a valid indicator for assessing blood flow and its interpretation should be done carefully [12]. In a previous study [46], no significant differences were also observed between types of muscle contraction.

Concerning cardiovascular responses, namely, HR, there were higher values with the implementation of the DYN, as well as described elsewhere [46]. The higher values of HR evidenced during dynamic contractions may be explained by the higher cost of muscle activation and energy requirements [48, 49]. The different blood flow patterns between modes of contractions, the higher oxygen consumption, and the lower peripheral resistance with dynamic contractions are some of the factors that influence blood pressure response [50] presenting higher values in dynamic contractions in our study. RPP, also known as double product, was lower during ISO in consonance with previous studies [46] implying less myocardial effort and oxygen consumption.

The Borg scale was created to fill the existing gap of nonlinearity between perceptual ratings and both heart rate and power output observed with the 21-graded scale [51]. Even though there is a linear relationship, mainly in cardiovascular exercises, between RPE and heart rate using the 15-graded scale, and the prediction of heart rate from this scale prediction is facilitated (HR = RPE × 10), the response may be different depending on numerous factors. The subjective perceived exertion was assessed in two ways: overall and muscular. The RPEove is one of the most common methods for monitoring the intensity and is related to feelings that are simple and easy to comprehend for the majority of individuals. Furthermore, RPEmus [52], which provides additional and specific information on the muscle groups that are having the most intervention. Both RPEove and RPEmus showed higher values during the execution of isometric contractions, being significant in the RPEmus. A possible explanation may be the effect of changes in blood flow on external perceptions. With a change of the blood flow, the intensity of the external perceptions of the individual intensifies, when compared to without occlusion [53, 54], and since during an isometric contraction this process occurs continuously, the participants may have felt a higher effort. Other factors that were not effectively analysed in this study, and that can influence the response in the RPE are exercise motivation [55], mental references [56], sensory experience [57], and comfort [58].

The study presents some limitations that cannot be dismissed. One of them is the non-use of an instrument that could equalize the workload between the two contraction types (i.e., strain gauge sensor, digital force transducer). Although both protocols were performed with the same exercise duration, interval rest between sets, and load lifted (kg), the 50% of 1RM represent a different relative intensity in the isometric protocol and the responses for the chosen angle of the isometric contraction cannot be extended to other angles.

The interpretation and practical translation of the data collected from the NIRS portable device is apparently the biggest challenge when this type of technology is applied, most probably because it is still a relatively new area. The present study highlights the advantage of monitoring in real-time the SmO2-derived parameters together with other physiological variables, assuming a preponderant role in what is a localized muscular effort in exercise and recovery, particularly in the recovery time between sets.

Conclusions

The findings of this study demonstrate that regardless of the type of contraction, the back squat exercise at 50% of 1RM does not seem to promote great changes in SmO2 in the studied muscles, except for soleus muscle when referring to the minimum value and the amplitude of deoxygenation reached in exercise. In fact, the biggest changes seem to be related to cardiovascular parameters, having a more accentuated alteration with the imposition of dynamic contractions. On the other hand, perceived exertion responses to exercise were higher in isometric contractions. This may be an interesting aspect regarding the training load monitoring, as the load perception was higher with the isometric contractions, but effectively it was the dynamic contractions that had the greatest effect on the studied variables.

Acknowledgments

The authors would like to thank the participants who gave up their time to participate in this study.

References

  1. 1. Sands WA, Wurth JJ, Hewit JK. Basics of strength and conditioning manual. The National Strength and Conditioning Association’s; 2012. pp. 50.
  2. 2. Caterisano A, Moss RF, Pellinger TK, Woodruff K, Lewis VC, Booth W, et al. The Effect of Back Squat Depth on the EMG Activity of 4 Superficial Hip and Thigh Muscles. The Journal of Strength and Conditioning Research. 2002; 16(3):428–32. pmid:12173958.
  3. 3. Marchetti PH, Gomes WA. Apectos neuromecânicos do exercício agachamento. CPAQV. 2013; 5(2).
  4. 4. Schoenfeld BJ. Squatting kinematics and kinetics and their application to exercise performance. The Journal of Strength and Conditioning Research. 2010; 24(12):3497–506. pmid:20182386
  5. 5. Marchetti PH, Schoenfeld BJ, Nardi PSM, Pecoraro SL, Greve JMD, Hartigan E. Muscle Activation Differs between Three Different Knee Joint-Angle Positions during a Maximal Isometric Back Squat Exercise. Journal of Sports Medicine. 2016. pmid:27504484.
  6. 6. Mitchell JH, Haskell W, Snell P. Task Force 8: Classification of Sports. Journal of the American College of Cardiology. 2005; 45(8): 1364–7. pmid:15837288.
  7. 7. Garner JC, Blackburn T, Weimar W, Campbell B. Comparison of electromyographic activity during eccentrically versus concentrically loaded isometric contractions. Journal of Electromyography and Kinesiology. 2008; 18(3):466–71. pmid:17257859.
  8. 8. Suchomel TJ, Nimphius S, Bellon CR, Stone MH. The Importance of Muscular Strength: Training Considerations. Sports Medicine. 2018; 48(4):765–85. pmid:29372481.
  9. 9. Lum D, Barbosa TM, Joseph R, Balasekaran G. Effects of Two Isometric Strength Training Methods on Jump and Sprint Performances: A Randomized Controlled Trial. Journal of Science in Sport and Exercise. 2021; 3(2):115–24.
  10. 10. Kraemer WJ, Ratamess NA. Fundamentals of Resistance Training: Progression and Exercise Prescription. Medicine & Science in Sports & Exercise. 2004; 36(4):674–88. pmid:15064596.
  11. 11. Aragão FR, Abrantes CG, Gabriel RE, Sousa MF, Castelo-Branco C, Moreira MH. Effects of a 12-month multi-component exercise program on the body composition of postmenopausal women. 2014; 17(2):155–63. pmid:23826753.
  12. 12. Barstow TJ. Understanding near infrared spectroscopy and its application to skeletal muscle research. Journal of Applied Physiology. 2019; 126(5):1360–76. pmid:30844336.
  13. 13. Perrey S, Ferrari M. Muscle Oximetry in Sports Science: A Systematic Review. Sports Medicine. 2018; 48(3):597–616. pmid:29177977.
  14. 14. Almushayt SJ. A Systematic Review of the Acute Effects of Hemodialysis on Skeletal Muscle Perfusion, Metabolism, and Function. Kidney International Reports. 2019; 5(3):307–317. pmid:32154452.
  15. 15. C Cornelis N. The Use of Near Infrared Spectroscopy to Evaluate the Effect of Exercise on Peripheral Muscle Oxygenation in Patients with Lower Extremity Artery Disease: A Systematic Review. European Journal of Vascular and Endovascular Surgery. 2021; 61(5):837–47. pmid:33810977.
  16. 16. Hamaoka T. Muscle oxygenation monitoring using near-infrared spectroscopy. The Journal of Physical Fitness and Sports Medicine. 2013; 2(2):203–7.
  17. 17. Ferrari M, Muthalib M, Quaresima V. The use of near-infrared spectroscopy in understanding skeletal muscle physiology: recent developments. Philosophical Transactions of the Royal Society A. 2011; 369(1955):4577–90. pmid:22006907.
  18. 18. Tanimoto M, Ishii N. Effects of low-intensity resistance exercise with slow movement and tonic force generation on muscular function in young men. Journal of Applied Physiology. 2006; 100(4):1150–7. pmid:16339347.
  19. 19. Miura H, McCully K, Nioka S, Chance B. Relationship between muscle architectural features and oxygenation status determined by near infrared device. European Journal of Applied Physiology. 2004; 91(2–3):273–8. pmid:14574577.
  20. 20. Azuma K, Homma S, Kagaya A. Oxygen supply-consumption balance in the thigh muscles during exhausting knee-extension exercise. Journal of Biomedical Optics. 2000; 5(1):97–101. pmid:10938772.
  21. 21. Feldmann A, Schmitz R, Erlacher D. Near-infrared spectroscopy-derived muscle oxygen saturation on a 0% to 100% scale: reliability and validity of the Moxy Monitor. Journal of Biomedical Optics. 2019; 24(11):1–11. pmid:31741352.
  22. 22. Kraemer WJ, Fry A. Strength testing: Development and evaluation of methodology. Champaign, IL, Human Kinetics. Maud PJ, Foster C (eds): Physiological Assessment of Human Fitness; 1995. pp 115–138.
  23. 23. SENIAM [Internet]. [cited 5 Apr 2022]. Available from: http://seniam.org/
  24. 24. Cabral LL, Nakamura FY, Stefanello JMF, Pessoa LCV, Smirmaul BPC, Pereira G. Initial Validity and Reliability of the Portuguese Borg Rating of Perceived Exertion 6–20 Scale. Measurement in Physical Education and Exercise Science. 2020; 24(2):103–14.
  25. 25. Cohen J. Statistical power analysis for the behavioral sciences. 2nd Edition. Hillsdale, New Jersey, Lawrence Erlbaum Associates; 1988. pp 567.
  26. 26. Cliff N. Dominance Statistics: Ordinal Analyses to Answer Ordinal Questions. Psychological bulletin. 1993; 144(3):494–509.
  27. 27. Kagaya A, Ogita F. Blood flow during muscle contraction and relaxartion in rhythmic exercise at different intensities. Journal of Physiological Anthropology. 1992; 11(3):251–256. pmid:1642721.
  28. 28. Rådegran G. Ultrasound Doppler estimates of femoral artery blood flow during dynamic knee extensor exercise in humans. Journal of Applied Physiology. 1997; 83(4):1383–8. pmid:9338449.
  29. 29. Laaksonen MS, Kalliokoski KK, Kyröläinen H, Kemppainen J, Teräs M, Sipilä H, et al. Skeletal muscle blood flow and flow heterogeneity during dynamic and isometric exercise in humans. American Journal of Physiology-Heart and Circulatory Physiology. 2003; 284(3):H979–86. pmid:12446282.
  30. 30. Sadamoto T, Bonde-Petersen F, Suzuki Y. Skeletal muscle tension, flow, pressure, and EMG during sustained isometric contractions in humans. European Journal of Applied Physiology. 1983; 51(3):395–408. pmid:6685038.
  31. 31. Rudroff T, Barry BK, Stone AL, Barry CJ, Enoka RM. Accessory muscle activity contributes to the variation in time to task failure for different arm postures and loads. Journal of Applied Physiology. 2007; 102(3):1000–6. pmid:17095642.
  32. 32. Schaefer L, Bittmann FN. Paired personal interaction reveals objective differences between pushing and holding isometric muscle action. PLoS One. 2021; 16(5): e0238331. pmid:33956801.
  33. 33. Davis PR, Yakel JP, Anderson DJ. Muscle oxygen demands of the Vastus Lateralis in Back and Front Squats. International Journal of Exercise Science. 2020; 13(6):734–743. pmid:32509135.
  34. 34. McCully KK, Iotti S, Kendrick K, Wang Z, Posner JD, Leigh J, et al. Simultaneous in vivo measurements of HbO2 saturation and PCr kinetics after exercise in normal humans. Journal of Applied Physiology. 1994;77(1):5–10. pmid:7961273.
  35. 35. Spiering BA, Kraemer WJ, Hatfield DL, Vingren JL, Fragala MS, Ho JY, et al. Effects of L-carnitine L-tartrate supplementation on muscle oxygenation responses to resistance exercise. The Journal of Strength and Conditioning Research. 2008; 22(4):1130–5. pmid:18545197.
  36. 36. Vedsted P, Blangsted AK, Søgaard K, Orizio C, Sjøgaard G. Muscle tissue oxygenation, pressure, electrical, and mechanical responses during dynamic and static voluntary contractions. European Journal of Applied Physiology. 2006; 96(2):165–77. pmid:15480741.
  37. 37. Ward SR, Eng CM, Smallwood LH, Lieber RL. Are Current Measurements of Lower Extremity Muscle Architecture Accurate? Clinical Orthopaedics and Related Research. 2009; 467(4):1074–82. pmid:18972175.
  38. 38. Edgerton VR, Smith JL, Simpson DR. Muscle fibre type populations of human leg muscles. The Histochemical Journal. 1975; 7(3):259–66. pmid:123895
  39. 39. Garret JR WE, Califf JC, Bassett 3rd FH. Histochemical correlates of hamstring injuries. American Journal of Sports Medicine. 1984; 12(2):98–103. pmid:6234816.
  40. 40. Gollnick PD, Sjödin B, Karlsson J, Jansson E, Saltin B. Human soleus muscle: A comparison of fiber composition and enzyme activities with other leg muscles. Pflugers Arch. 1974; 348(3):247–55. pmid:4275915.
  41. 41. Thorstensson A, Carlson H. Fibre types in human lumbar back muscles. Acta Physiologica Scandinavica. 1987; 131(2):195–202. pmid:2960128.
  42. 42. Bailey SJ, Wilkerson DP, DiMenna FJ, Jones AM. Influence of repeated sprint training on pulmonary O2 uptake and muscle deoxygenation kinetics in humans. Journal of Applied Physiology. 2009; 106(6):1875–87. pmid:19342439.
  43. 43. Jacobs RA, Flück D, Bonne TC, Bürgi S, Christensen PM, Toigo M, et al. Improvements in exercise performance with high-intensity interval training coincide with an increase in skeletal muscle mitochondrial content and function. Journal of Applied Physiology. 2013; 115(6):785–93. pmid:23788574.
  44. 44. Paquette M, Bieuzen F, Billaut F. Sustained Muscle Deoxygenation vs. Sustained High VO2 During High-Intensity Interval Training in Sprint Canoe-Kayak. Frontiers in Sports and Active Living. 2019; 1:6. pmid:33344930.
  45. 45. Prieur F, Mucci P. Effect of high-intensity interval training on the profile of muscle deoxygenation heterogeneity during incremental exercise. European Journal of Applied Physiology. 2013; 113(1):249–57. pmid:22677918.
  46. 46. Kounoupis A, Dipla K, Tsabalakis I, Papadopoulos S, Galanis N, Boutou AK, et al. Muscle Oxygenation, Neural, and Cardiovascular Responses to Isometric and Workload-matched Dynamic Resistance Exercise. International Journal of Sports Medicine. 2022; 43(02):119–30. pmid:34380149.
  47. 47. Ryan TE, Southern WM, Reynolds MA, McCully KK. A cross-validation of near-infrared spectroscopy measurements of skeletal muscle oxidative capacity with phosphorus magnetic resonance spectroscopy. Journal of Applied Physiology. 2013; 115(12):1757–66. pmid:24136110.
  48. 48. Cerretelli P, Veicsteinas A, Fumagalli M, Dell’orto L. Energetics of isometric exercise in man. Journal of Applied Physiology. 1976; 41(2):136–41. pmid:956093
  49. 49. Chasiotis D, Bergström M, Hultman E. ATP utilization and force during intermittent and continuous muscle contractions. Journal of Applied Physiology. 1987; 63(1):167–74. pmid:3624122.
  50. 50. Kounoupis A, Papadopoulos S, Galanis N, Dipla K, Zafeiridis A. Are Blood Pressure and Cardiovascular Stress Greater in Isometric or in Dynamic Resistance Exercise? Sports (Basel). 2020; 8(4):41. pmid:32231128.
  51. 51. Borg G. The perception of physical performance. In Shephard R.J. (Ed.). Springfield, IL: Charles C Thomas Frontiers of fitness; 1971. pp. 280–95.
  52. 52. Pandolf KB, Burse RL, Goldman RF. Differentiated Ratings of Perceived Exertion during Physical Conditioning of Older Individuals Using Leg-Weight Loading. Percept Mot Skills. 1975; 40(2):563–74. pmid:1178328.
  53. 53. Cain WS, Stevens JC. Constant effort contractions related to the electromyogram. Medicine and Science in Sports. 1973; 5(2):121–27. pmid:4721006.
  54. 54. Stevens J. C., Krimsley A. S. Buildup of fatigue in static work: Role of blood flow. In Borg G. A. V. (Ed.), Physical work and effort. New York: Pergamon; 1977. pp. 145–155.
  55. 55. Weiser PC, Kinsman RA, Stamper DA. Task specific symptomatology changes resulting from prolonged submaximal bicycle riding. Medicine and Science in Sports. 1973; 5:79–85. pmid:4721010
  56. 56. Borg G., Lindblad I. The determination of subjective intensities in verbal descriptions of symptoms. Reports from the Institute of Applied Psychology, no.75. Stockholm: University of Stockholm; 1976.
  57. 57. Morgan WP, Pollock ML. Psychologic characterization of the elite distance runner. Annals of the New York Academy of Sciences. 1977; 301:382–403. pmid:270929
  58. 58. Morgan WP, Psychology factors influencing perceived exertion. Medicine and Science in Sports. 1973; 5(2):97–103. pmid:4721014.