Strength training (ST) has been widely recommended as an effective method to increase muscle strength and mass (12). Regarding the structure of an ST program, a positive relationship between training volume and gains in muscle strength and hypertrophy has been suggested (13,19,23), supporting the concept that training volume should be increased throughout an ST program to maximize its functional and phenotypical adaptations.
Although the relevance of volume increments to maximize ST adaptations is well established, the importance of the loading scheme (i.e., the combination of exercise intensity and volume within a training program) in optimizing the adaptations is still equivocal. Periodized loading schemes are claimed to produce superior gains in strength when compared with nonperiodized (NP) ones (13,15,18,27). However, results are far from uniform. For instance, previous studies demonstrated similar effects between NP, linear periodized, and nonlinear/undulating periodized loading schemes, with no significant differences between groups (2,6).
In addition to the effects on strength gains, skeletal muscle hypertrophy responses to different loading schemes are also controversial. Indeed, previous studies have demonstrated greater increases in fat-free mass and muscle thickness after periodized when compared with NP loading schemes (8,17,21). Although these changes are suggestive of positive alterations in muscle mass, very few studies have directly assessed muscle cross-sectional area (CSA) using a gold-standard method (i.e., magnetic resonance imaging [MRI]), after different ST loading schemes (7,9).
Another important issue is that the American College of Sports Medicine (12) and the National Strength and Conditioning Association have advocated that changing/including exercises between microcycles can also enhance strength gains. This recommendation is based on cross-sectional surface electromyography and functional MRI data indicating that different exercises aiming to activate the same muscle group (e.g., squat and leg press exercises) may promote distinct motor unit recruitment (5,20,25). Consequently, one may speculate that changing/including exercises for the same muscle group within a training routine would optimize motor unit activation of the target muscle group, thus, maximizing gains in skeletal muscle strength and CSA over a given training period. However, to the best of our knowledge, no study has addressed the effects of exercise variation throughout a training period on skeletal muscle strength and CSA.
Finally, there is paucity of data regarding the chronic effects of combining different loading schemes and exercise variation in the initial phase of ST programs. Addressing this issue is critical to the strength and conditioning professionals, as this is the current training paradigm followed by many of them.
Therefore, the purpose of this study was to investigate the effects of different combinations of training intensities and exercises selection, as well as the combination of both, on muscle strength and CSA. Based on previous findings (10,11,26), we hypothesized that muscle hypertrophy would not be affected by the different loading schemes and exercise variation; however, the differences in motor unit recruitment provided by the exercise variation would produce superior gains in muscle strength. A secondary purpose of this study was to identify if the loading scheme and exercises variation would produce differences in the hypertrophy response of the quadriceps muscle heads.
Experimental Approach to the Problem
To evaluate the effects of different ST loading schemes, exercises selection and the combination of both on strength and the quadriceps femoris CSA, 4 different ST programs matched for training volume (i.e., sets × repetitions) were designed as follows: constant intensity and constant exercise (CICE), constant intensity and varied exercise (CIVE), varied intensity and constant exercise (VICE), and varied intensity and varied exercise (VIVE). The volume load throughout the 12-week period was progressively increased to simulate the initial phase of the ST periodization in all of the training groups, while maintaining the volume equated between groups.
Maximum dynamic strength test (1 repetition maximum [1RM]), left and right quadriceps femoris CSA, and right vastus lateralis (VL), vastus medialis (VM), vastus intermedius (VI), and rectus femoris (RF) muscles CSA (evaluated by MRI) were assessed at baseline and after 12 weeks of training.
Seventy physically active males volunteered for this study. Participants were free from health problems and/or neuromuscular disorders that could affect their ability to complete the training programs. They were not engaged in any form of regular ST for at least 6 months before the study and were asked to refrain from any additional physical training during the experimental period. Initially, participants were classified into quartiles according to their quadriceps muscle CSA (CSA, in square millimeter). Then, participants from each quartile were randomly assigned to one of the 5 groups (the 4 ST groups and the control group). Twenty-one subjects withdrew from the study because of personal reasons (i.e., time-commitment related issues); hence, data from 49 individuals are presented. Descriptive data from the 4 training groups (i.e., CICE, CIVE, VICE, and VIVE) and the control group (C) are presented in Table 1. This study was approved by the Institution's Ethics Committee, and all of the participants were informed of the inherent risks and benefits before signing an informed consent form.
Before the commencement of the study, all of the participants completed 3 familiarization sessions interspersed by at least 72 hours. During the familiarization sessions, participants performed a general warm-up consisting of 5 minutes of running at 9 km·h−1 on a treadmill (Movement Technology, Brudden, São Paulo, Brazil) followed by 3 minutes of whole body light stretching exercises. After warming-up, the subjects were familiarized with the squat 1RM testing protocol in a regular Smith Machine (Cybex, Medway, MA, USA). The within-subject variance of the 1RM values was <5% between familiarization sessions 2 and 3. Each participant had his body position and foot placement in the squat exercise determined with measuring tapes fixed on the bar and on the ground, respectively. In addition, a wooden seat with adjustable heights was placed behind the participant to keep the bar displacement and knee angle (∼90°) constant on each squat repetition. Participants' positioning were recorded during the familiarization sessions and reproduced throughout the testing and training sessions.
Muscle Cross-Sectional Area
Quadriceps CSA was obtained through MRI (Signa LX 9.1; GE Healthcare, Milwaukee, WI, USA). Participants laid down for 20 minutes before the MRI assessment. Then, they were positioned in a supine position with their knees fully extended in the device's bed. A Velcro strap was used to restrain leg movements and allow complete muscle relaxation during image acquisition (Velcro, Manchester, NJ, USA). All of the images were captured from both legs. An initial image was captured to determine the perpendicular distance from the greater trochanter to the inferior border of the lateral epicondyle of the femur, which was defined as the thigh length. Cross-sectional area image was acquired at 50% of the segment length in 0.8-cm slices for 3 seconds. The pulse sequence was performed with a view field between 400 and 420 mm, time repetition of 350 milliseconds, eco time from 9 to 11 milliseconds, 2 signal acquisitions, and reconstruction matrix of 256 × 256. The images were transferred to a workstation (Advantage Workstation 4.3; GE Healthcare) for quadriceps CSA determination. In short, the segment slice was divided into the following components: skeletal muscle, subcutaneous fat tissue, bone, and residual tissue. Then, the CSA of the quadriceps muscle was assessed by computerized planimetry by a blinded researcher (Figure 1). The CSA of the right thigh VL, VM, VI, and RF muscles was also assessed after the same procedures.
Maximum Dynamic Strength Test (1 Repetition Maximum)
At least 72 hours after the last familiarization session, the squat exercise 1RM load was assessed on a conventional Smith machine (Cybex). Testing protocol followed the suggestions proposed by Brown and Weir (1). In brief, subjects ran for 5 minutes at 9 km·h−1 on a treadmill (Movement Technology) followed by 5 minutes of whole body light stretching exercises and 2 squat warm-up sets. During the first set, subjects performed 8 repetitions with 50% of the estimated 1RM. In the second set, they performed 3 repetitions with 70% of the estimated 1RM, with a 3-minute interval between them. After the second warm-up set, subjects rested for 3 minutes. Then, they had up to 5 attempts to achieve the 1RM load (i.e., maximum weight that could be lifted once with the proper technique), with a 3-minute interval between attempts. Strong verbal encouragement was given throughout the test.
Strength Training Programs
The subjects performed a 12-week, twice a week, hypertrophy-oriented lower-limb ST program. The loading schemes adopted for each of the 4 training groups are presented in Table 2.
Briefly, the targeted ST intensity was 6–10 maximal repetitions (RM) for all of the exercises performed, and a 2-minute rest was allowed between sets, whereas 3 minutes were respected between exercises. Experimental groups differed regarding the loading scheme and exercise employed. The CICE group performed only the squat exercise with a constant intensity (8RM) throughout the training period, whereas the CIVE group (constant intensity-varied exercise) performed not only the squat, but also the leg press, deadlift, and lunge exercises with 8RM. The VICE group performed only the squat exercise but at an intensity varying between 6 and 10RM throughout the training period. Finally, the VIVE group performed the 4 lower-limb exercises (i.e., squat, leg press, deadlift, and lunge) at intensities ranging from 6 to 10RM. Notably, the training volume was equated across all of the experimental groups (repetitions × sets). The control group (C) did not perform any training during the experimental period.
After normality (i.e., Shapiro-Wilk) and variance assurance (i.e., Levene), a mixed model was performed for the whole quadriceps muscle and each of its heads (i.e., VL, VM, VI, and RF) CSA, assuming group (CICE, CIVE, VICE, VIVE, and C), and time (pre and post) as fixed factors, and participants as a random factor (SAS 9.2; SAS Institute Inc., Cary, NC, USA). Whenever a significant F-value was obtained, a post hoc test with Tukey's adjustment was performed for multiple comparison purposes (24). The significance level was set at p ≤ 0.05. A high variability in the between-groups pretest maximum dynamic strength values was identified because of the high number of dropouts. These dropouts unbalanced the initial equalization of maximum strength values, producing significant differences in the squat 1RM values between groups (i.e., 1-way analysis of variance; p ≤ 0.05). Thus, a mixed model assuming groups as a fixed factor, subjects as a random factor, pretest initial 1RM values as a covariate, and individuals' delta change (%) as dependent variable was used. This analysis was performed to adjust individual delta change values to the covariate (i.e., pretest values). Then, the estimated mean and SD delta changes (i.e., adjusted by the covariate) from each group were used to calculate effect sizes and not for hypothesis test purposes. Several authors have suggested the use of effect sizes for within- and between-groups comparisons, as they do not give a dichotomic answer (i.e., significant or not significant) and are able to deal with highly variable data (16). Thus, effect size confidence intervals of the differences (ESCLdiff) were calculated using a noncentral t distribution to perform within- and between-groups comparisons. Positive and negative confidence intervals (i.e., did not cross zero) were considered as significant. Results are expressed as mean ± SD.
Whole Quadriceps Muscle Cross-Sectional Area
The quadriceps muscle CSA increased significantly in all of the experimental groups from pretest to posttest in both the right and left legs: CICE: 11.6 and 12.0% (p < 0.0001); CIVE: 11.6 and 12.2% (p < 0.0001); VICE: 9.5 e 9.3% (p < 0.0001), and VIVE: 9.9 and 11.6% (p < 0.0001), respectively. Between-group comparisons revealed that all of the experimental groups increased quadriceps CSA when compared with the C group (p ≤ 0.02), but they were not different from each other at the posttest (p > 0.05). There were no differences in muscle CSA for the C group after training (p > 0.05) (Figure 2).
Quadriceps Muscle Heads Cross-Sectional Area
The groups that varied exercises (i.e., CIVE and VIVE) in the training program presented hypertrophy in all of the quadriceps muscle heads (p ≤ 0.05). The CICE group did not presented hypertrophy in the VM muscle (p = 0.29) and in the RF muscle (p = 0.058), and the VICE showed no hypertrophy in the RF muscle (p = 0.12) (Table 3).
Maximum Dynamic Strength (1 Repetition Maximum)
All of the experimental groups had significant increases in squat exercise 1RM when compared with the C group (ESCLdiff CICE: 3.46–3.53; CIVE: 3.49–3.63; VICE: 2.16–2.23; and VIVE: 3.00–3.11). The CICE group had greater increments in maximum strength than the VICE group (ESCLdiff 1.17–1.26). The training protocol with the highest variability (VIVE group) was more efficient in increasing maximum strength than the training protocol with the lowest variability (CICE group) (ESCLdiff 0.73–0.84) and the one that only varied the intensity (VICE) (ESCLdiff 1.55–1.61). The training protocol that varied the exercises but not the intensity (CIVE) was the most efficient in increasing maximum strength among all of the training groups (ESCLdiff CICE: 1.41–1.56; VICE: 2.13–2.28; VIVE: 0.59–0.75). Figure 3 displays pretest squat 1RM values (Panel A) and the delta change (%) 1RM values from pretraining to posttraining (Panel B).
The purpose of this study was to investigate the effects of different combinations of training intensities and exercises selection, as well as the combination of both, on muscle strength and CSA, while matching groups for training volume, on muscle hypertrophy and strength. The novel finding of this study is that varying exercises along the experimental period produces greater strength gains than variations in training intensity. Furthermore, it seems that varying training intensity and exercises, simultaneously, cannot be an appropriate strategy to increase maximum strength for physically active individuals. Finally, groups that varied exercises in the training program presented a more homogeneous hypertrophy among the quadriceps muscles (i.e., VL, VM, VI, and RF).
Our study demonstrated that regardless of the variation in intensity and exercise selection, the quadriceps CSA increased significantly and similarly in all of the experimental groups from pretest to posttest (increments ranged from 9.3 to 12.2%). In this regard, it seems that when training volume is equated between groups (i.e., sets × repetitions), and the intensity varies between 6 and 10RM, similar CSA gains are achieved regardless of the exercise variations. With respect to the ST intensity, recent findings have suggested that intensity variation might not be critical to induce muscle hypertrophy (7,14). For instance, Mitchell et al. (14) demonstrated that ST regimens in which participants had their legs assigned to either a 30 or an 80% 1RM exercise until failure produced similar CSA gains (e.g., 6.8 and 7.2%, respectively), after 10 weeks of training. In addition, other studies have demonstrated that varying the intensity between 3 and 15RM over 12 weeks of ST produced similar protein accretion between groups (21). Accordingly, training loads between 3 and 11RM over 8 weeks of training also resulted in similar muscle fiber CSA increments (3). Collectively, these findings suggest that variations in the training intensity do not seem to be critical to magnify muscle hypertrophic responses. Our data also do not support the hypothesis that exercise variations are determinant to muscle mass accretion, as the groups that varied exercises had similar gains in muscle CSA than the ones that just used a single exercise (i.e., squat). Thus, the findings of this study indicate that as long as the training load is sufficient to activate the protein synthesis machinery, muscle hypertrophy should occur independently of the changes in exercise throughout the training period.
Interestingly, the groups that varied exercises throughout the training program had hypertrophy among all of the quadriceps muscle heads. However, the group that varied neither the intensity nor the exercises (i.e., CICE) had no significant hypertrophy in the VM and RF muscles. The group that varied only the intensity (i.e., VICE) did not present hypertrophy in the RF muscle. Thus, it seems that different exercises are able to selectively activate the heads of a muscle group, such as the quadriceps femoris. Importantly, the differences between groups in the hypertrophy of the quadriceps muscle heads did not seem to affect the whole muscle hypertrophy, as the groups' responses were very alike.
Despite the significant increases in squat 1RM in all of the experimental groups (increments ranging from 23.1 to 53%), our findings do not completely support the hypothesis that variations in training intensity and exercises are more efficient to increase muscle strength. The training regimen in which the intensity was constant and the exercises were varied (i.e., CIVE) demonstrated greater strength gains when compared with those groups that did not vary the exercise selection (i.e., VICE and CICE), and the one that varied both exercises and training intensities (i.e., VIVE), over the 12-week training period. However, the group that varied both the training intensity and exercise selection (i.e., VIVE) demonstrated greater gains than the group that only varied exercise intensity (i.e., VICE) and the 1 with neither intensity nor exercise variation (i.e., CICE), emphasizing the importance of exercise variation in producing strength gains. Furthermore, variations in training intensity do not seem to be very effective in increasing strength as the CICE had greater increments in this variable than the VICE.
These findings may be due to the fact that both the criterion strength exercise and the exercises that were varied throughout the 12-week training period were all multijoint exercises (e.g., squat, leg press, deadlift, and lunge). It has been proposed that multijoint exercises require more complex neural responses than single-joint ones (4). Thus, the use of multijoint exercises might be an important component to optimize the neural drive to the active muscles maximizing strength gains. In addition, our data suggest that combining intensity and exercise variations in the same training program does not increase the efficacy of the ST in maximizing strength gains (i.e., VIVE) in physically active individuals. It may be speculated that the ability of previously untrained individuals to control several degrees of freedom in motor unit recruitment during the VIVE condition did not allow optimizing the neural drive and, thus, muscle force production capacity. It has been previously suggested that different intensities require the activation of distinct pools of motor units (20). However, fixing the exercise intensity reduces the degree of freedom in motor unit activation allowing individuals to optimize the movement pattern of the exercises performed and, therefore, the muscle force production capacity (22).
In summary, our data suggest that constant intensity training with varied exercises (CIVE) is more efficient to produce strength gains for physically active individuals. Furthermore, as long as the training intensity reaches an alleged threshold, whole muscle hypertrophy is similar regardless of the loading scheme and exercise variation. However, if a more homogeneous muscle hypertrophy response is required among the heads of multipennate muscles, varying exercises within the training routine seems to be more efficient than using just 1 exercise. Finally, it has to be tested if highly trained individuals would be able to handle a high degree of training variations (i.e., intensity and exercises) and achieve greater strength gains when compared with a program that only varies the exercises.
Strength coaches usually vary the training intensity and exercises in an ST program. Our findings suggest that variations in training intensity are not critical to produce strength and muscle hypertrophy gains in the initial phase of an ST program. Varying exercises during this phase seem to be more important to maximize the neural drive and, therefore, the functional adaptations. In addition, exercise variation seems to produce a more complete muscle activation hypertrophying all of the heads of multipennate muscles.
The authors declare no conflict of interest. CU is supported by CNPq (304205/2011-7).
1. Brown LE, Weir JP. ASEP procedures recommendation I: Accurate assessment of muscular strength and power. J Exerc Physiologyonline 4: 1–21, 2001.
2. Buford TW, Rossi SJ, Smith DB, Warren AJ. A comparison of periodization models during nine weeks with equated volume and intensity
for strength. J Strength Cond Res 21: 1245–1250, 2007.
3. Campos GE, Luecke TJ, Wendeln HK, Toma K, Hagerman FC, Murray TF, Ragg KE, Ratamess NA, Kraemer WJ, Staron RS. Muscular adaptations in response to three different resistance-training regimens: Specificity of repetition maximum training zones. Eur J Appl Physiol 88: 50–60, 2002.
4. Chilibeck PD, Calder AW, Sale DG, Webber CE. A comparison of strength and muscle mass increases during resistance training in young women. Eur J Appl Physiol Occup Physiol 77: 170–175, 1998.
5. Ebben WP, Feldmann CR, Dayne A, Mitsche D, Alexander P, Knetzger KJ. Muscle activation during lower body resistance training. Int J Sports Med 30: 1–8, 2009.
6. Hoffman JR, Ratamess NA, Klatt M, Faigenbaum AD, Ross RE, Tranchina NM, McCurley RC, Kang J, Kraemer WJ. Comparison between different off-season resistance training programs in Division III American college football players. J Strength Cond Res 23: 11–19, 2009.
7. Kok LY, Hamer PW, Bishop DJ. Enhancing muscular qualities in untrained women: Linear versus undulating periodization. Med Sci Sports Exerc 41: 1797–1807, 2009.
8. Kraemer WJ, Hakkinen K, Triplett-Mcbride NT, Fry AC, Koziris LP, Ratamess NA, Bauer JE, Volek JS, McConnell T, Newton RU, Gordon SE, Cummings D, Hauth J, Pullo F, Lynch JM, Fleck SJ, Mazzetti SA, Knuttgen HG. Physiological changes with periodized resistance training in women tennis players. Med Sci Sports Exerc 35: 157–168, 2003.
9. Kraemer WJ, Nindl BC, Ratamess NA, Gotshalk LA, Volek JS, Fleck SJ, Newton RU, Hakkinen K. Changes in muscle hypertrophy in women with periodized resistance training. Med Sci Sports Exerc 36: 697–708, 2004.
10. Lamas L, Ugrinowitsch C, Rodacki A, Pereira G, Mattos E, Kohn A, Tricoli V. Effects of strength and power training on neuromuscular adaptations and jumping movement pattern and performance. J Strength Cond Res 26: 3335–3344, 2012.
11. Laurentino GC, Ugrinowitsch C, Roschel H, Aoki MS, Soares AG, Neves M Jr, Aihara AY, Fernandes Ada R, Tricoli V. Strength training with blood flow restriction diminishes myostatin gene expression. Med Sci Sports Exerc 44: 406–412, 2012.
12. Ratamess NA, Alvar BA, Evetoch TK, Housh TJ, Kibler WB, Kraemer WJ, Triplett NT. American College of Sports Medicine Position Stand: Progression models in resistance training for healthy adults. Med Sci Sports Exerc 41: 687–708, 2009.
13. Miranda F, Simao R, Rhea M, Bunker D, Prestes J, Leite RD, Miranda H, de Salles BF, Novaes J. Effects of linear vs. daily undulatory periodized resistance training on maximal and submaximal strength gains. J Strength Cond Res 25: 1824–1830, 2011.
14. Mitchell CJ, Churchward-Venne TA, West DW, Burd NA, Breen L, Baker SK, Phillips SM. Resistance exercise load does not determine training-mediated hypertrophic gains in young men. J Appl Physiol (1985) 113: 71–77, 2012.
15. Monteiro AG, Aoki MS, Evangelista AL, Alveno DA, Monteiro GA, Picarro I, Ugrinowitsch C. Nonlinear periodization maximizes strength gains in split resistance training routines. J Strength Cond Res 23: 1321–1326, 2009.
16. Nakagawa S, Cuthill IC. Effect size, confidence interval and statistical significance: A practical guide for biologists. Biol Rev Camb Philos Soc 82: 591–605, 2007.
17. Prestes J, De Lima C, Frollini AB, Donatto FF, Conte M. Comparison of linear and reverse linear periodization effects on maximal strength and body composition. J Strength Cond Res 23: 266–274, 2009.
18. Rhea MR, Ball SD, Phillips WT, Burkett LN. A comparison of linear and daily undulating periodized programs with equated volume and intensity
for strength. J Strength Cond Res 16: 250–255, 2002.
19. Robbins DW, Marshall PW, McEwen M. The effect of training volume on lower-body strength. J Strength Cond Res 26: 34–39, 2012.
20. Sakamoto A, Sinclair PJ. Muscle activations under varying lifting speeds and intensities during bench press. Eur J Appl Physiol 112: 1015–1025, 2012.
21. Simao R, Spineti J, de Salles BF, Matta T, Fernandes L, Fleck SJ, Rhea MR, Strom-Olsen HE. Comparison between nonlinear and linear periodized resistance training: Hypertrophic and strength effects. J Strength Cond Res 26: 1389–1395, 2012.
22. Simenz CJ, Garceau LR, Lutsch BN, Suchomel TJ, Ebben WP. Electromyographical analysis of lower extremity muscle activation during variations of the loaded step-up exercise. J Strength Cond Res 26: 3398–3405, 2012.
23. Sooneste H, Tanimoto M, Kakigi R, Saga N, Katamoto S. Effects of training volume on strength and hypertrophy in young men. J Strength Cond Res 27: 8–13, 2013.
24. Ugrinowitsch C, Fellingham G, Ricard M. Limitations of ordinary least squares models in analyzing repeated measures data. Med Sci Sports Exerc 36: 2144–2148, 2004.
25. Wakahara T, Miyamoto N, Sugisaki N, Murata K, Kanehisa H, Kawakami Y, Fukunaga T, Yanai T. Association between regional differences in muscle activation in one session of resistance exercise and in muscle hypertrophy after resistance training. Eur J Appl Physiol 112: 1569–1576, 2012.
26. Wallerstein LF, Tricoli V, Barroso R, Rodacki AL, Russo L, Aihara AY, da Rocha Correa Fernandes A, de Mello MT, Ugrinowitsch C. Effects of strength and power training on neuromuscular variables in older adults. J Aging Phys Act 20: 171–185, 2012.
27. Willoughby DS. The effects of mesocycle-length weight training programs involving periodization and partially equated volumes on upper and lower body strength. J Strength Cond Res 7: 2–8, 1993.