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Effects of equal-volume resistance training with different training frequencies in muscle size and strength in trained men

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Background The objective of the present study was to compare the effects of equal-volume resistance training (RT) performed with different training frequencies on muscle size and strength in trained young men. Methods Sixteen men with at least one year of RT experience were divided into two groups, G1 and G2, that trained each muscle group once and twice a week, respectively, for 10 weeks. Elbow flexor muscle thickness (MT) was measured using a B-Mode ultrasound and concentric peak torque of elbow extensors and flexors were assessed by an isokinetic dynamometer. Results ANOVA did not reveal group by time interactions for any variable, indicating no difference between groups for the changes in MT or PT of elbow flexors and extensors. Notwithstanding, MT of elbow flexors increased significantly (3.1%, P < 0.05) only in G1. PT of elbow flexors and extensors did not increase significantly for any group. Discussion The present study suggest that there were no differences in the results promoted by equal-volume resistance training performed once or twice a week on upper body muscle strength in trained men. Only the group performing one session per week significantly increased the MT of their elbow flexors. However, with either once or twice a week training, adaptations appear largely minimal in previously trained males.
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Submitted 14 February 2018
Accepted 30 May 2018
Published 22 June 2018
Corresponding author
Paulo Gentil,
paulogentil@hotmail.com
Academic editor
Rodrigo Ramírez-Campillo
Additional Information and
Declarations can be found on
page 8
DOI 10.7717/peerj.5020
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2018 Gentil et al.
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Effects of equal-volume resistance
training with different training
frequencies in muscle size and strength
in trained men
Paulo Gentil1, James Fisher2, James Steele2, Mario H. Campos1,
Marcelo H. Silva1, Antonio Paoli3, Jurgen Giessing4and Martim Bottaro5
1College of Physical Education and Dance, Universidade Federal de Goiás, Goiania, GO, Brazil
2School of Sport, Health, and Social Sciences, University of Southampton, Southampton, United Kingdom
3Department of Biomedical Sciences, University of Padova, Padova, Italy
4Institute of Sport Science, Universität Koblenz-Landau, Landau, Germany
5Faculdade de Educa¸
cão Física, Universidade de Brasília, Brasilia, DF, Brazil
ABSTRACT
Background. The objective of the present study was to compare the effects of equal-
volume resistance training (RT) performed with different training frequencies on
muscle size and strength in trained young men.
Methods. Sixteen men with at least one year of RT experience were divided into two
groups, G1 and G2, that trained each muscle group once and twice a week, respectively,
for 10 weeks. Elbow flexor muscle thickness (MT) was measured using a B-Mode
ultrasound and concentric peak torque of elbow extensors and flexors were assessed
by an isokinetic dynamometer.
Results. ANOVA did not reveal group by time interactions for any variable, indicating
no difference between groups for the changes in MT or PT of elbow flexors and
extensors. Notwithstanding, MT of elbow flexors increased significantly (3.1%, P<
0.05) only in G1. PT of elbow flexors and extensors did not increase significantly for
any group.
Discussion. The present study suggest that there were no differences in the results
promoted by equal-volume resistance training performed once or twice a week on
upper body muscle strength in trained men. Only the group performing one session per
week significantly increased the MT of their elbow flexors. However, with either once
or twice a week training, adaptations appear largely minimal in previously trained males.
Subjects Kinesiology
Keywords Resistance training, Skeletal muscle, Lean muscle mass, Muscle adaptation
INTRODUCTION
Designing resistance training (RT) programs involves the manipulation of numerous
variables that interact with each other (e.g., number of sets, repetitions, rest intervals,
etc.), which can have a large influence on the program outcomes (Paoli, 2012;Gentil et
al., 2017a). Among them, training frequency has recently received increased attention
and some authors consider it one of the most effective strategies to progress a resistance
How to cite this article Gentil et al. (2018), Effects of equal-volume resistance training with different training frequencies in muscle size
and strength in trained men. PeerJ 6:e5020; DOI 10.7717/peerj.5020
training program (Dankel et al., 2017). Considering that lack of time is a common barrier to
exercise adoption (Trost et al., 2002), identifying the minimal frequency of RT to optimize
adaptation is of importance. In this regard, condensing exercise sessions into fewer days,
while still performing an equal volume, might be a promising strategy, since it would
reduce the number of days required and also reduce the total time spent, considering
the time necessary for preparation and transport. Though it is argued that it might be
beneficial to train with higher frequencies to continue to produce adaptations (Dankel et
al., 2017), this might be challenging for most participants. Thus it is important to evaluate
the effectiveness of lower-frequency training programs.
Confirming the feasibility of this strategy, previous studies have shown that performing
RT only once a week increased muscle size and strength in untrained people (Graves et
al., 1990;Carpenter et al., 1991;Gentil et al., 2015). However, little is known about the
benefits of performing RT at low training frequencies in the gains of muscle size and
strength in resistance-trained individuals. The American College of Sports Medicine
recommends that trained participants use a frequency of four to five days per week for the
purpose of increasing muscle size and strength (ACSM, 2009), although it is not clear if
this frequency is referring to the number of sessions performed or the number of times a
given muscle is trained per week. The recommendation of higher training frequencies for
trained people is supported by the results of meta-analyses which suggest that experienced
individuals might benefit from training a muscle group multiple times per week (Rhea
et al., 2003;Peterson, Rhea & Alvar, 2004;Schoenfeld, Ogborn & Krieger, 2016;Grgic et al.,
2018). However, previous studies in bodybuilders reported that they usually perform split
routines training each muscle group only once per week (Hackett, Johnson & Chow, 2013;
Gentil et al., 2017b).
Increases in muscle size may in fact plateau relatively early after initiation of a RT
intervention suggesting trained persons have limited capacity to further increase muscular
size (Counts et al., 2017). However, this may be due to the attenuated anabolic response to
RT in trained individuals, and Dankel et al. (2017) have recently argued that there may be
a benefit for trained persons to perform greater frequencies of training. Given that there
is an increased difficulty in achieving significant results in trained individuals in response
to a RT stimulus, as evidenced through attenuated muscle protein synthesis (MPS), higher
training frequencies might allow for more frequent MPS rises and thus a greater MPS
area under the curve (Dankel et al., 2017). However, there is presently a lack of studies
testing this idea. We are aware of only two studies comparing the gains in muscle size and
strength between different training frequencies in trained participants (McLester, Bishop &
Guilliams, 2000;Schoenfeld et al., 2015) and the results are conflicting.
When analyzing experienced weightlifters, McLester, Bishop & Guilliams (2000),
concluded that three days per week of equal-volume resistance training was superior
to one day per week for bringing about strength gains. However, it is important to note
that the group that trained once per week were apparently stronger at baseline, which
may have influenced the comparisons. Moreover, the use of indirect measures to evaluate
changes in body composition (skinfolds and circumferences) may have limited the capacity
for evaluating muscle hypertrophy. Later, Schoenfeld et al. (2015) compared the effects of
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 2/12
performing one or three sessions per muscle group per week in resistance trained men.
According to the results, higher frequency resulted in greater increases in the MT of elbow
flexors; however, no differences were observed for elbow extensor or vastus lateralis muscle
thickness. Similarly, statistically significant differences between groups were not noted for
1RM bench press and back squat.
If trained individuals can obtain similar results with lower training frequencies, this
could be a valuable strategy for prescribing RT programs for people with time constraints.
Therefore, the information provided by the present study would be valuable for conserving
training time and encourage participation whilst optimizing adaptation, as well as adding
to the existing body of knowledge on training variables. With this in mind, the purpose
of this study was to compare the effects of training one or two times per week on strength
and muscle size in trained college-aged men, while holding the total number of sets per
week constant. The hypothesis of the study is that training one or two days per week would
result in similar gains in muscle size and strength.
METHODS
Experimental approach to the problem
The participants were pair matched by baseline elbow flexor peak torque (PT) and then
randomly assigned into one of two groups: Group 1 (G1, n=8) trained upper body once
a week and Group 2 (G2, n=8) trained twice a week. G1 and G2 performed the same
exercises, with the same number of sets per week. All exercises were performed with three
sets of eight to 12 repetitions performed to momentary concentric failure as previously
defined (Steele et al., 2017). Before and after the 10 week training period, participants were
evaluated for elbow flexor MT and elbow extensor and flexor PT.
Subjects
Twenty male college students volunteered to participate in the study. Volunteers were
invited among those engaged in resistance training classes at the University. This sample
size was justified by a priori power analysis based on previous work by Schoenfeld et al.
(2015) with a target effect size difference of 0.6, alpha of 0.05 and power of 0.80. The
criteria for entering the study included being at least 18 years old, having at least 12
months of previous RT experience and having been practicing RT with direct supervision
uninterruptedly for the previous six months, and being free of health problems that could
prevent the participation in the study. To be included in the analyses, subjects had to
attend at least 80% of the training sessions (Gentil & Bottaro, 2013). The volunteers were
instructed to not change their nutritional habits during the study period, all of them
verbally confirmed that they maintained their diet throughout the trial period and no
relevant change was reported (i.e., becoming a vegetarian, restricting calories, taking
nutritional supplements or ergogenic aids, etc.). At the end of the study, 16 subjects met
the criteria for entering the analysis (22.3 ±2.0 years; 177.5 ±5.1 cm; 80.0 ±12.4 kg).
The exclusions (two in each group) were due to engagement in RT sessions other than the
study protocol, changes in nutritional habits (one participant became vegetarian) and/or
low training attendance (three participants). All participants had a history of training each
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 3/12
muscle group two to three times per week, and all of them have been training each muscle
group two times a week in the previous four months.
The volunteers were notified of the research procedures, requirements, benefits and risks
before providing written informed consent. The Institutional Research Ethics Committee
granted approval for the study (56907716.5.0000.5083) and the study was performed
according to the Declaration of Helsinki.
Muscle thickness
Muscle thickness (MT) of the elbow flexors was measured before and after the 10-week
training period using B-Mode ultrasound (Philips-VMI, Ultra Vision Flip, model BF,
Amsterdam, Netherlands). The tests were conducted three to five days after the last
training session to prevent any swelling from influence measurement. During this time,
participants were oriented not to participate in any other exercise sessions or intense
activity. All tests were conducted at the right arm, at the same time of the day and the
participants were oriented to hydrate normally 24 h before the tests. MT of the elbow
flexors was measured according to Bemben’s procedures (Bemben, 2002) and was taken
as the distance from the subcutaneous adipose tissue-muscle interface to muscle-bone
interface (Abe et al., 2000). A trained technician performed all analyses. Baseline test and
retest intraclass correlation coefficient (ICC) for MT of elbow flexors was 0.95.
Isokinetic peak torque
Unilateral elbow flexion and extension isokinetic peak torque (PT) were tested on a Biodex
System 3 isokinetic dynamometer (Biodex Medical, Inc., Shirley, NY, USA). Tests were
performed at the dominant side with two sets of four concentric contractions at 60s1
and 60 s rest between sets. The dynamometer was calibrated prior to each testing session
according to manufacturer specifications. Participants were seated on a Scott Bench and the
lateral epicondyle of the humerus was used to align elbow rotation to the dynamometer’s
lever arm. Volunteers were instructed to perform maximal efforts in all tests, and verbal
encouragement was constantly provided by the researchers. During elbow flexion, the
forearm remained in a supinated position throughout the test. For elbow extensions, the
forearm remained in a neutral position. Baseline test and retest ICC for peak torque were
0.96 for both elbow flexion and extension.
Resistance training intervention
Participants were divided into two groups. G1 (n=8) trained once a week (Mondays) and
G2 (n=8) trained twice a week (Mondays and Thursdays), and their characteristics are
presented in Table 1. The participants were allocated into groups in a counterbalanced
manner according to their values of elbow flexor PT. Both groups performed the same
exercises, with equal number of sets and repetition ranges; therefore, the only difference
was that G1 trained each muscle group once per week and G2 trained twice. The following
exercises were performed: lat pull down, seated row, barbell bench press, seated chest press,
standing barbell biceps curl, Scott bench biceps curl, lying barbell triceps extension and
high pulley triceps extension. All exercises were performed with three sets of eight to 12
repetitions to momentary concentric failure (Steele et al., 2017), and were provided with
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 4/12
Table 1 Training sessions for Groups 1 and 2.
Monday Thursday
Group 1 Lat pull down
Seated row
Standing barbell biceps curl
Scott bench biceps curls
Barbell bench press
Seated chest press
Lying barbell triceps extensions
High pulley triceps extension
xxxx
Group 2 Lat pull down Seated row
Standing barbell biceps curl Scott bench biceps curls
Barbell bench press Seated chest press
Lying barbell triceps extensions High pulley triceps extension
verbal encouragement to maximize intensity of effort. If necessary, loads were adjusted
from set to set and between sessions to maintain performance of the desired number of
repetitions. All training sessions were closely monitored to ensure effort, repetitions and
intensity established by experienced strength and conditioning coaches, since previous
research has demonstrated greater gains in supervised vs. unsupervised training sessions
(Gentil & Bottaro, 2010). Rest interval between sets and exercises was maintained at
2 minutes.
Statistical analysis
Normality of the data was confirmed using the Kolmogorov–Smirnov test. Data are
presented as mean ±standard deviation. Groups were compared using factorial mixed
model ANOVA 2 ×2 (Group ×Time). When necessary, multiple comparisons with
confidence adjustment by the Bonferroni procedure were used for post hoc analysis. Data
were considered significant at P<0.05. Within groups, effect size (ES) was calculated
using Cohen’s d(threshold values were 0.2 for small, 0.5 for moderate and 0.8 for large).
Statistical analyses were performed using the Statistical Package for the Social Sciences 17.0
software (SPSS, Chicago, IL, USA).
RESULTS
Table 2 presents the characteristics of the participants and Table 3 presents the peak torque
values. The results for elbow flexor muscle thickness are presented in Fig. 1. There was
no significant difference in baseline values for age, height and body mass between G1 and
G2. The results of ANOVA did not reveal group by time interactions for any variable,
indicating no difference between groups for the changes in any of the muscle size and
strength variables. Elbow flexor and elbow extensor PT did not increase significantly for
any group. Elbow flexor MT increased significantly only for G1 (3.1% P<0.05).
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 5/12
Figure 1 Changes in muscle thickness of elbow flexors. Individual values for pre- and post-training
muscle thickness of elbow flexors (mm). Group 1 trained each muscle group once a week and Group
2 trained each muscle group twice per week. * significant difference between pre- and post-values
(p<0.05).
Full-size DOI: 10.7717/peerj.5020/fig-1
Table 2 Characteristics of the participants in each group (mean ±standard deviation).
Group 1 Group 2
Age (years) 21.7 ±2.1 22.8 ±2
Weight (kg) 78.3 ±14 81.7 ±11.3
Height (cm) 176 ±4.9 178.9 ±5.2
Resistance training experience (months) 14.4 ±4.4 16.8 ±8.8
Table 3 Pre and post values for peak torque of elbow flexors and extensors, expressed as mean ±standard deviation.
Group 1 Group 2
Pre Post Delta ES Pre Post Delta ES
Elbow flexors’ peak torque (N.m) 66.6 ±12.1 66 ±11.6 0.9% 0.03 66.7 ±13.9 67.1 ±12.7 0.6% 0.02
Elbow extensors’ peak torque (N.m) 57.7 ±10.2 57.6 ±5.7 0.1% 0.01 55.4 ±13.1 55.8 ±11.7 0.9% 0.02
DISCUSSION
The results of our study showed that there were no differences in performing RT one or
two times a week with equal number of sets in trained men. Nonetheless, only the group
that trained once per week significantly increased muscle thickness. This is similar to a
previous study from our group using a similar training program in untrained participants
where there were no differences between groups for increases in muscle strength and size;
however, it is important to note that the effect sizes of muscle strength were higher in the
group that performed two sessions per week (Gentil et al., 2015).
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 6/12
The results of the present study seem to contradict the results of previous studies
in trained men. When analyzing experienced weightlifters, McLester, Bishop & Guilliams
(2000) concluded that three days per week of equal-volume resistance training was superior
to one day per week for strength gains, suggesting that higher frequency of training may
be superior for trained individuals. However, as previously noted, the group that trained
at higher frequencies had lower strength levels at baseline. Considering that higher initial
values may be related to limited strength increases, this may have influenced the results.
More recently, Schoenfeld et al. (2015) compared the effects of exercising each muscle one
or three days per week in trained young men and suggested that increased frequency would
be beneficial for muscle strength and size. However, the authors highlighted that 16 of the
19 subjects reported training with a split routine on a regular basis, therefore, the novelty
factor of changing programs might have influenced results.
Interestingly, all participants of the present study have been training at higher frequencies
(exactly the same protocol performed by G1) for at least four months before the study and
only those that decreased frequency showed increases in muscle size. For this reason, we
cannot rule out that any positive adaptations were due to a variation in training stimuli
and not a benefit of reduced frequency per se. This might suggest that changing the usual
stimuli may be necessary to bring continued adaptations.
The lack of results in most variables seen in the present study is not surprising. Once
an individual is used to a given stimulus, there is a decline in training response, and a
plateau occurs far earlier than generally expected (Counts et al., 2017). Previous studies
demonstrated that muscle hypertrophy and strength gains in response to resistance training
seem to progressively diminish after a few weeks of training (Correa et al., 2013;Nader et
al., 2014) and comparisons of muscle size and strength gains between untrained and trained
participants showed a reduced response in the latter (Ahtiainen et al., 2003). In order to
overcome this plateau, it seems necessary to provide novel stimuli which is usually done
by changing load, repetition range and the exercises performed; the results of our study
might indicate that changing training frequency may be an effective strategy as well.
Considering that protein synthesis may return to basal levels in a few days after the
training session (Chesley et al., 1992;MacDougall et al., 1995;Burd et al., 2012), it has been
suggested that higher training frequency may promote a more favorable anabolic balance,
increasing long-term results (Dankel et al., 2017) Nevertheless, this was not observed
in the present study. In fact, recent studies showed that trained men did not recover
neuromuscular capacity four days after a high volume resistance training session (Ferreira
et al., 2017b;Ferreira et al., 2017a), suggesting that longer intervals between sessions might
be necessary when training with higher numbers of sets (>eight sets per muscle group).
Although it is commonly suggested that training must be repeated after two to three days
(ACSM, 2009), there are studies reporting positive results in trained men training once a
week (Ostrowski et al., 1997) and this approach has been widely used by bodybuilders using
split programs (Hackett, Johnson & Chow, 2013).
As lack of time is the most frequently cited barrier to exercise adoption (Trost et al.,
2002) using an exercise program that can be performed only once a week may improve
adherence in periods where time constraint might be an obstacle to continue training.
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 7/12
Moreover, coaches and athletes might consider including variations in training frequency
in their training programs in order to overcome plateaus in muscle hypertrophy. In order
to gain further insight into time efficiency it would be of interest to test the effectiveness
of low training frequency with a low number of sets, which could be compensated by
increased intensity of effort. This was successfully employed in older people (Fisher et
al., 2014;Barbalho et al., 2017), but we are not aware of similar studies in young trained
participants.
This study is not without limitations. First, although the duration of the study was
similar to previous studies, 10 weeks may have not been long enough to allow us to find
statistical differences both within and between groups. In addition, the small sample size
might have affected statistical power. Despite this limitation, the inter-individual variability
was not high, except for elbow extensor PT, and analysis of effect sizes provides a good
basis for inferring that the results would not be clinically meaningful. Lastly, as Dankel et
al. (2017) note, there is a lack of studies examining frequencies higher than three times a
week. It remains a possibility that the lack of change in many outcomes for the present
study was due to both groups using relatively low frequencies (twice a week). Therefore,
future research should look to compare both lower (twice a week) to higher frequencies
(>three days a week).
The study did not have a non-training control group because our purpose was to compare
different training frequencies. However, since the study involved trained people that are
used to both the training and testing procedures, learning is not expected to influence
performance of the tests. It is also important to note that, whilst training frequency
changed for each situation, the total training volume was kept constant for both groups;
therefore, the duration of the session was longer for the group that trained only one time
per week. This should be taken in account, since the increased time demand at a specific
session might be a barrier for some people.
CONCLUSION
Trained men that are used to training at higher frequencies could benefit from decreasing
training frequency when pursuing muscle hypertrophy. Considering that the results seem
to be related to an unaccustomed stimulus, coaches and athletes might consider including
variations in training frequency, while keeping the number of weekly sets constant, in
their training programs in order to overcome plateaus in muscle hypertrophy. Moreover,
reducing training frequency may also be an efficient strategy to reduce time commitment
without interfering with the results.
ADDITIONAL INFORMATION AND DECLARATIONS
Funding
The authors received no funding for this work.
Competing Interests
The authors declare there are no competing interests.
Gentil et al. (2018), PeerJ, DOI 10.7717/peerj.5020 8/12
Author Contributions
Paulo Gentil conceived and designed the experiments, performed the experiments,
analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or
tables, authored or reviewed drafts of the paper, approved the final draft.
James Fisher, James Steele, Mario H. Campos, Marcelo H. Silva, Antonio Paoli and
Jurgen Giessing analyzed the data, authored or reviewed drafts of the paper, approved
the final draft.
Martim Bottaro conceived and designed the experiments, performed the experiments,
analyzed the data, contributed reagents/materials/analysis tools, authored or reviewed
drafts of the paper, approved the final draft.
Human Ethics
The following information was supplied relating to ethical approvals (i.e., approving body
and any reference numbers):
The University of Goias granted Ethical approval to carry out the study within its
facilities (Ethical Application Ref: 56907716.5.0000.5083).
Data Availability
The following information was supplied regarding data availability:
The raw data are provided in Supplemental Information 1.
Supplemental Information
Supplemental information for this article can be found online at http://dx.doi.org/10.7717/
peerj.5020#supplemental-information.
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Supplementary resource (1)

... Although it is well established that both higher and lower frequencies can generate substantial increases in muscle strength and morphological outcomes, only 7 studies have investigated the effects of different RT frequencies on morphological adaptations in trained subjects, using validated diagnostic imaging methods (e.g. ultrasound) to assess changes in muscle size [2,6,7,[10][11][12][13]. Moreover, most of the studies that specifically investigated training frequencies of 2 versus 3 days per week employed whole body measures of muscle mass (e.g., dual-energy X-ray absorptiometry), which are not as sensitive for detecting subtle changes over time as site-specific measures, such as ultrasound or magnetic resonance imaging [14]. ...
... The present study expands on previous findings by providing evidence that frequencies of 2 vs 3 sessions·wk-1 resulted in similar muscle hypertrophy even when the same SPLIT routine was employed in a volumeequated condition. Moreover, these results seem to be in line with several studies that observed no between-groups difference in muscle hypertrophy when comparing frequencies of 1 vs 2 [10,11,13]; 2 vs 4 [23]; 1 vs 5 [5]; 3 vs 6 sessions·wk-1 per muscle group [12,24]. Interestingly, although the findings of the current study essentially reflect the results of a previous meta-analysis [9], it also differs from a previous investigation from our research group that reported that muscle hypertrophy was potentiated when adopting a higher training frequency [7]. ...
Article
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The purpose of this study was to investigate the chronic effects of training each muscle group through a split-body routine on 2 versus 3 days per week on muscle strength and morphological adaptations in recreationally resistance-trained men with the number of sets per muscle group equated between conditions. Twenty healthy men (28.8 ± 6.1 years [range 19 to 37 years]; 172.8 ± 5.1 cm; total body mass = 70.2 ± 7.4 kg; RT experience = 3.5 ± 0.8 years [range 2 to 5 years]; RT frequency = 4.4 ± 0.5 session·wk-1) volunteered to participate in this study. Subjects were randomly assigned into 2 experimental groups: 2 sessions·wk-1 per muscle (G2x, n = 10), in which every muscle was trained twice a week with 9 sets/session, or 3 sessions·wk-1 per muscle (G3x, n = 10), in which every muscle was trained thrice a week with 6 sets/session. All other variables were held constant over the 8-week study period (training intensity: 8-12 maximum repetitions; rest intervals: 60 seconds between sets). No significant difference between conditions was observed for maximal strength in the back squat (G2x: ∆ = 51.5%; G3x: ∆ = 56.3%, p = 0.337) and bench press (G2x: ∆ = 15.4%; G3x: ∆ = 20.5%, p = 0.756), muscle thickness of the biceps brachii (G2x: ∆ = 6.9%; G3x: ∆ = 8.9%, p = 0.495), triceps brachii (G2x: ∆ = 8.4%; G3x: ∆ = 15.7%, p = 0.186), vastus lateralis (G2x: ∆ = 11.2%; G3x: ∆ = 5.0%, p = 0.082 and anterior quadriceps (rectus femoris and vastus intermedius) (G2x: ∆ = 12.1%; G3x: ∆ = 21.0%, p = 0.102). In conclusion, both G2x and G3x can result in significant increases in muscle strength and size in recreationally trained men.
... Forest plots were made using random effect modeling to present the test statistic Hedges' g and 95% confidence intervals across the studies, using the inverse variance method to minimize the uncertainty of the pooled effect estimate [23]. Since the correlation coefficient was required to perform the analysis but none of the included studies reported the correlation coefficient or had open datasets, similar studies with open datasets [24,25] were examined for the correlation coefficients as proposed in Borenstein et al. [22]. As both of these studies showed very high correlations of > 0.88, a more conservative estimate of 0.8 was set across all studies. ...
Article
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Abstract Background One of the most popular time-efficient training methods when training for muscle hypertrophy is drop sets, which is performed by taking sets to concentric muscle failure at a given load, then making a drop by reducing the load and immediately taking the next set to concentric or voluntary muscle failure. The purpose of this systematic review and meta-analysis was to compare the effects of drop sets over traditional sets on skeletal muscle hypertrophy. Methods This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The SPORTDiscus and MEDLINE/PubMed databases were searched on April 9, 2022, for all studies investigating the effects of the drop set training method on muscle hypertrophy that meets the predefined inclusion criteria. Comprehensive Meta-Analysis Version 3 (Biostat Inc., Englewood Cliffs, NJ, USA) was used to run the statistical analysis. Publication bias was assessed through visual inspection of the funnel plots for asymmetry and statistically by Egger’s regression test with an alpha level of 0.10. Results Six studies met the predefined inclusion criteria. The number of participants in the studies was 142 (28 women and 114 men) with an age range of 19.2–27 years. The average sample size was 23.6 ± 10.9 (range 9–41). Five studies were included in the quantitative synthesis. Meta-analysis showed that both the drop set and traditional training groups increased significantly from pre- to post-test regarding muscle hypertrophy (drop set standardized mean difference: 0.555, 95% CI 0.357–0.921, p
... When the body is hungry, with insufficient sugar supply and is on a ketogenic diet, the body's organ metabolism changes harmoniously: 1. Reduced glycogen synthesis and glycogen decomposition increases; 2. Gluconeogenesis begins to increase; 3. Promote fat mobilization, produce a large amount of fatty acids to the liver and muscle, making them replace glucose oxidation, thus indirectly increasing blood glucose.4. The body cannot use sugar, but uses fatty acids to provide energy; 5. Kone body replaces glucose and provides energy for brain tissue and muscle, thus saving the oxidation and utilization of glucose [8]. ...
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Study jects: 30 ordinary female college students who had no professional sports training; Study method: subjects had a ketogenic diet for 30 days and completed a daily exercise program as required. Measurement indicators: measured before and after the experiment 1. Body weight, 2. subcutaneous fat and muscle thickness in the anterior and posterior segments of the upper arm, 3. muscle condition in the anterior and posterior femoral region, 4. Maximum oxygen intake, 5. maximum heart rate, 6. blood glucose and blood β ketone. The results showed that: 1. The aerobic training in the experimental and control groups decreased in the mean sebum thickness in each group. 2 The mean maximum oxygen intake improved in both groups and one-sided T test showed significant differences in the experimental groups. 3 Mean heart rate and weight decreased in the control group, while the mean heart rate increased more weight, with the one-sided T test for maximal heart rate significantly significantly in the experimental group significantly significantly. 4. Through the design of aerobic training, the maximum oxygen content in the experimental group increased significantly.we can draw the following conclusions: 1. Certain intensity, time and regular aerobic training have certain effect on weight loss in non-experimental state and experimental state, which can effectively reduce the fat content of all parts of female college students and improve the quality of lean body; 2. certain intensity aerobic exercise based on ketogenic diet will make female college students have better slimming effect, and this mode will not cause adverse effects on the body within a certain range.
... The ndings of the present study are following other studies that reported changes in muscle size and body composition after ST with varied training frequencies and volume [18,19]. Similarly, other authors reported similar changes in muscle strength and hypertrophy with equal volume ST performed one or two times per week in untrained [20] and trained men [21]. ...
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Methods Seventeen university students (11 girls), 18–21 years old, were randomly divided into two groups: strength training group (ST,n = 12) and control group (CG,n = 5). Anthropometric and body composition measures, one-repetition maximum test, and sleep parameters (Pittsburgh Sleep Quality Index [PSQI], insomnia (Insomnia Severity questionnaire), daytime sleepiness (Epworth Sleepiness Scale [ESS]), and chronotype were evaluated pre and post-intervention. Training consisted of 60 min·d− 1 (2 times/week, for 4-weeks), with 3 sets of 10–12 repetitions, and a 1-minute rest interval between sets and exercises. Results The results through a 2 × 2 (time×groups) repeated measures analysis variance demonstrated a significant time effect that improves lower limb performance (F = 11.82;p = < 0.01), with a significant interaction (F = 6.07;p = 0.05), and upper limb performance (F = 3.30;p = 0.025), and there was a significant time effect on the chronotype (F = 4.75;p < 0.05). Individual analyses in ST group, ~ 58.3% presented a reduction in the PSQI score; ~25% no change, and ~ 16. 6% showed an increased score. For the ESS, ~ 25% showed a reduction, ~ 58.3% no change, and ~ 16.6% an increase. In sleep efficiency, ~ 25% increase; ~41.6% a reduction, and ~ 33.3% had no change. Conclusion A short-term strength-training program with an increase in weekly load for four weeks is not able to modulate sleep quality, duration, efficiency, daytime sleepiness, or insomnia, independent of intensity, but, had influenced the chronotype.
... Several longitudinal investigations that assessed the effects of different RT-frequencies did not observe differences in morphological adaptations between the experimental conditions, independently of the frequencies adopted. When comparing 1 vs 2 weekly sessions per muscle group, for example, similar hypertrophy was observed by Brigatto et al. (13), Gentil et al. (35) and Tavares et al. (106) for both upper and lower limbs muscles. Similarly, even higher training frequencies (4x/week in Yue et al. (114) and Correa et al. (23); 5x/week in Gomes et al. (38); 6x/week in Saric et al. (89) were not able to induce larger increases in muscle size compared to the lower ones (1-2x/week). ...
Article
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International Journal of Exercise Science 15(4): 910-933, 2022. The regular practice of resistance training (RT) has been shown to induce relevant increases in both muscle strength and size. In order to maximize these adaptations, the proper manipulation of RT variables is warranted. In this sense, the aim of the present study was to review the available literature that has examined the application of the acute training variables and their influence on strength and morphological adaptations of healthy young adults. The information presented in this study may represent a relevant approach to proper training design. Therefore, strength and conditioning coaches may acquire a fundamental understanding of RT-variables and the relevance of their practical application within exercise prescription.
... Several longitudinal investigations that assessed the effects of different RT-frequencies did not observe differences in morphological adaptations between the experimental conditions, independently of the frequencies adopted. When comparing 1 vs 2 weekly sessions per muscle group, for example, similar hypertrophy was observed by Brigatto et al. (13), Gentil et al. (35) and Tavares et al. (106) for both upper and lower limbs muscles. Similarly, even higher training frequencies (4x/week in Yue et al. (114) and Correa et al. (23); 5x/week in Gomes et al. (38); 6x/week in Saric et al. (89) were not able to induce larger increases in muscle size compared to the lower ones (1-2x/week). ...
Article
Full-text available
International Journal of Exercise Science 15(4): X-Y, 2022. The regular practice of resistance training (RT) has been shown to induce relevant increases in both muscle strength and size. In order to maximize these adaptations, the proper manipulation of RT variables is warranted. In this sense, the aim of the present study was to review the available literature that has examined the application of the acute training variables and their influence on strength and morphological adaptations of healthy young adults. The information presented in this study may represent a relevant approach to proper training design. Therefore, strength and conditioning coaches may acquire a fundamental understanding of RT-variables and the relevance of their practical application within exercise prescription.
... As trained individuals are more likely to have greater training frequencies than less trained individuals, and the frequencies used are likely to be greater than those investigated in most studies (Strömbäck et al., 2018), a need for more research on this group has been expressed (Grgic et al., 2018;Ralston et al., 2018). To our knowledge, there are ten published studies on volume equated resistance training frequency in trained individuals published to date (McLester et al., 2000;Schoenfeld et al., 2015;Brigatto et al., 2018;Colquhoun et al., 2018;Gentil et al., 2018;Gomes et al., 2019;Lasevicius et al., 2019;Saric et al., 2019;Zaroni et al., 2019;Johnsen and van den Tillaar, 2021). Five of these studies have focused on higher frequencies than 3 days per week (Colquhoun et al., 2018;Gomes et al., 2019;Saric et al., 2019;Zaroni et al., 2019;Johnsen and van den Tillaar, 2021). ...
Article
Background: Postural balance represents a fundamental movement skill for the successful performance of everyday and sport-related activities. There is ample evidence on the effectiveness of balance training on balance performance in athletic and non-athletic population. However, less is known on potential transfer effects of other training types, such as plyometric jump training (PJT) on measures of balance. Given that PJT is a highly dynamic exercise mode with various forms of jump-landing tasks, high levels of postural control are needed to successfully perform PJT exercises. Accordingly, PJT has the potential to not only improve measures of muscle strength and power but also balance. Objective: To systematically review and synthetize evidence from randomized and non-randomized controlled trials regarding the effects of PJT on measures of balance in apparently healthy participants. Methods: Systematic literature searches were performed in the electronic databases PubMed, Web of Science, and SCOPUS. A PICOS approach was applied to define inclusion criteria, (i) apparently healthy participants, with no restrictions on their fitness level, sex, or age, (ii) a PJT program, (iii) active controls (any sport-related activity) or specific active controls (a specific exercise type such as balance training), (iv) assessment of dynamic, static balance pre- and post-PJT, (v) randomized controlled trials and controlled trials. The methodological quality of studies was assessed using the Physiotherapy Evidence Database (PEDro) scale. This meta-analysis was computed using the inverse variance random-effects model. The significance level was set at p < 0.05. Results: The initial search retrieved 8,251 plus 23 records identified through other sources. Forty-two articles met our inclusion criteria for qualitative and 38 for quantitative analysis (1,806 participants [990 males, 816 females], age range 9–63 years). PJT interventions lasted between 4 and 36 weeks. The median PEDro score was 6 and no study had low methodological quality (�3). The analysis revealed significant small effects of PJT on overall (dynamic and static) balance (ES = 0.46; 95% CI = 0.32–0.61; p < 0.001), dynamic (e.g., Y-balance test) balance (ES = 0.50; 95% CI = 0.30–0.71; p < 0.001), and static (e.g., flamingo balance test) balance (ES = 0.49; 95% CI = 0.31–0.67; p<0.001). The moderator analyses revealed that sex and/or age did not moderate balance performance outcomes. When PJT was compared to specific active controls (i.e., participants undergoing balance training, whole body vibration training, resistance training), both PJT and alternative training methods showed similar effects on overall (dynamic and static) balance (p = 0.534). Specifically, when PJT was compared to balance training, both training types showed similar effects on overall (dynamic and static) balance (p = 0.514). Conclusion: Compared to active controls, PJT showed small effects on overall balance, dynamic and static balance. Additionally, PJT produced similar balance improvements compared to other training types (i.e., balance training). Although PJT is widely used in athletic and recreational sport settings to improve athletes’ physical fitness (e.g., jumping; sprinting), our systematic review with meta-analysis is novel in as much as it indicates that PJT also improves balance performance. The observed PJT-related balance enhancements were irrespective of sex and participants’ age. Therefore, PJT appears to be an adequate training regime to improve balance in both, athletic and recreational settings.
... As trained individuals are more likely to have greater training frequencies than less trained individuals, and the frequencies used are likely to be greater than those investigated in most studies (Strömbäck et al., 2018), a need for more research on this group has been expressed (Grgic et al., 2018;Ralston et al., 2018). To our knowledge, there are ten published studies on volume equated resistance training frequency in trained individuals published to date (McLester et al., 2000;Schoenfeld et al., 2015;Brigatto et al., 2018;Colquhoun et al., 2018;Gentil et al., 2018;Gomes et al., 2019;Lasevicius et al., 2019;Saric et al., 2019;Zaroni et al., 2019;Johnsen and van den Tillaar, 2021). Five of these studies have focused on higher frequencies than 3 days per week (Colquhoun et al., 2018;Gomes et al., 2019;Saric et al., 2019;Zaroni et al., 2019;Johnsen and van den Tillaar, 2021). ...
Article
Studies comparing children and adolescents from different periods have shown that physical activity and fitness decreased in the last decades, which might have important adverse health consequences such as body fat gain and poor metabolic health. The purpose of the current article is to present the benefits of high-intensity multimodal training (HIMT), such as CrossFit, to young people, with a critical discussion about its potential benefits and concerns. During HIMT, exercise professionals might have an opportunity to promote positive changes in physical function and body composition in children and adolescents, as well as to promote improvements in mental health and psychosocial aspects. Moreover, this might serve as an opportunity to educate them about the benefits of a healthy lifestyle and overcome the perceived barriers for being physically active. In technical terms, the characteristics of HIMT, such as, the simultaneous development of many physical capacities and diversity of movement skills and exercise modalities might be particularly interesting for training young people. Many concerns like an increased risk of injury and insufficient recovery might be easily addressed and not become a relevant problem for this group.
... As trained individuals are more likely to have greater training frequencies than less trained individuals, and the frequencies used are likely to be greater than those investigated in most studies (Strömbäck et al., 2018), a need for more research on this group has been expressed (Grgic et al., 2018;Ralston et al., 2018). To our knowledge, there are ten published studies on volume equated resistance training frequency in trained individuals published to date (McLester et al., 2000;Schoenfeld et al., 2015;Brigatto et al., 2018;Colquhoun et al., 2018;Gentil et al., 2018;Gomes et al., 2019;Lasevicius et al., 2019;Saric et al., 2019;Zaroni et al., 2019;Johnsen and van den Tillaar, 2021). Five of these studies have focused on higher frequencies than 3 days per week (Colquhoun et al., 2018;Gomes et al., 2019;Saric et al., 2019;Zaroni et al., 2019;Johnsen and van den Tillaar, 2021). ...
Article
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The main goal of the current study was to compare the effects of volume-equated training frequency on gains in muscle mass and strength. In addition, we aimed to investigate whether the effect of training frequency was affected by the complexity, concerning the degrees of freedom, of an exercise. Participants were randomized to a moderate training frequency group (two weekly sessions) or high training frequency group (four weekly sessions). Twenty-one participants (male: 11, female: 10, age: 25.9 ± 4.0) completed the 9-week whole-body progressive heavy resistance training intervention with moderate ( n = 13) or high ( n = 8) training frequency. Whole-body and regional changes in lean mass were measured using dual-energy x-ray absorptiometry, while the vastus lateralis thickness was measured by ultrasound. Changes in muscle strength were measured as one repetition maximum for squat, hack squat, bench press, and chest press. No differences between groups were observed for any of the measures of muscle growth or muscle strength. Muscle strength increased to a greater extent in hack squat and chest press than squat and bench press for both moderate (50 and 21% vs. 19 and 14%, respectively) and high-frequency groups (63 and 31% vs. 19 and 16%, respectively), with no differences between groups. These results suggest that training frequency is less decisive when weekly training volume is equated. Further, familiarity with an exercise seems to be of greater importance for strength adaptations than the complexity of the exercise.
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Cardiovascular diseases are the leading cause of death in the world and arterial hypertension (AH) accounts for 13.8% of deaths caused by cardiovascular diseases. Strength training interventions could be an important alternative tool for blood pressure control, however, consistent evidence and the most effective training protocol for this purpose are yet to be established. The current study used the Cochrane methodology to systematically review randomized controlled trials (RCTs) that investigated the effect of strength training on blood pressure in hypertensive patients. A systematic search was conducted in the PubMed, EMBASE, Scopus, Cochrane Library, and World Health Organization databases. This review included controlled trials that evaluated the effect of strength training for 8 weeks or more in adults with arterial hypertension, published up to December 2020. Data are described and reported as the weighted mean difference of systolic and diastolic pressure and a 95% confidence interval. Protocol registration: PROSPERO registration number CRD42020151269. A total of 14 studies were identified, including a combined total of 253 participants with hypertension. The meta-analysis showed that mean values of systolic blood pressure (SBP) and diastolic blood pressure (DBP) decreased significantly after strength training interventions. The strongest effect of strength training on decreasing blood pressure was observed in protocols with a moderate to vigorous load intensity (> 60% of one-repetition maximum-1RM), a frequency of at least 2 times per week, and a minimum duration of 8 weeks. We concluded that strength training interventions can be used as a non-drug treatment for arterial hypertension, as they promote significant decreases in blood pressure.
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Background Current recommendations on resistance training (RT) frequency for gains in muscular strength are based on extrapolations from limited evidence on the topic, and thus their practical applicability remains questionable. Objective To elucidate this issue, we conducted a systematic review and meta-analysis of the studies that compared muscular strength outcomes with different RT frequencies. Methods To carry out this review, English-language literature searches of the PubMed/MEDLINE, Scopus, and SPORTDiscus databases were conducted. The meta-analysis was performed using a random-effects model. The meta-analysis models were generated with RT frequencies classified as a categorical variable as either 1, 2, 3, or 4+ times/week, or, if there were insufficient data in subgroup analyses, the training frequencies were categorized as 1, 2, or 3 times/week. Subgroup analyses were performed for potential moderators, including (1) training volume; (2) exercise selection for the 1 repetition maximum (RM) test (for both multi-joint and single-joint exercises); (3) upper and lower body strength gains; (4) training to muscular failure (for studies involving and not involving training to muscular failure); (5) age (for both middle-aged/older adults and young adults); and (6) sex (for men and for women). The methodological quality of studies was appraised using the modified Downs and Black checklist. Results A total of 22 studies were found to meet the inclusion criteria. The average score on the Downs and Black checklist was 18 (range 13–22 points). Four studies were classified as being of good methodological quality, while the rest were classified as being of moderate methodological quality. Results of the meta-analysis showed a significant effect (p = 0.003) of RT frequency on muscular strength gains. Effect sizes increased in magnitude from 0.74, 0.82, 0.93, and 1.08 for training 1, 2, 3, and 4+ times per week, respectively. A subgroup analysis of volume-equated studies showed no significant effect (p = 0.421) of RT frequency on muscular strength gains. The subgroup analysis for exercise selection for the 1RM test suggested a significant effect of RT frequency on multi-joint (p < 0.001), but not single-joint, 1RM test results (p = 0.324). The subgroup analysis for upper and lower body showed a significant effect of frequency (p = 0.004) for upper body, but not lower body, strength gains (p = 0.070). In the subgroup analysis for studies in which the training was and was not carried out to muscular failure, no significant effect of RT frequency was found. The subgroup analysis for the age groups suggested a significant effect of training frequency among young adults (p = 0.024), but not among middle-aged and older adults (p = 0.093). Finally, the subgroup analysis for sex indicated a significant effect of RT frequency on strength gains in women (p = 0.030), but not men (p = 0.190). Conclusions The results of the present systematic review and meta-analysis suggest a significant effect of RT frequency as higher training frequencies are translated into greater muscular strength gains. However, these effects seem to be primarily driven by training volume because when the volume is equated, there was no significant effect of RT frequency on muscular strength gains. Thus, from a practical standpoint, greater training frequencies can be used for additional RT volume, which is then likely to result in greater muscular strength gains. However, it remains unclear whether RT frequency on its own has significant effects on strength gain. It seems that higher RT frequencies result in greater gains in muscular strength on multi-joint exercises in the upper body and in women, and, finally, in contrast to older adults, young individuals seem to respond more positively to greater RT frequencies. More evidence among resistance-trained individuals is needed as most of the current studies were performed in untrained participants.
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The purpose of this study was to report and analyze the practices adopted by bodybuilders in light of scientific evidence and to propose evidence-based alternatives. Six (four male and two female) bodybuilders and their coaches were directly interviewed. According to the reports, the quantity of anabolic steroids used by the men was 500–750 mg/week during the bulking phase and 720–1160 mg during the cutting phase. The values for women were 400 and 740 mg, respectively. The participants also used ephedrine and hydrochlorothiazide during the cutting phase. Resistance training was designed to train each muscle once per week and all participants performed aerobic exercise in the fasted state in order to reduce body fat. During the bulking phase, bodybuilders ingested ~2.5 g of protein/kg of body weight. During the cutting phase, protein ingestion increased to ~3 g/kg and carbohydrate ingestion decreased by 10–20%. During all phases, fat ingestion corresponded to ~15% of the calories ingested. The supplements used were whey protein, chromium picolinate, omega 3 fatty acids, branched chain amino acids, poly-vitamins, glutamine and caffeine. The men also used creatine in the bulking phase. In general, the participants gained large amounts of fat-free mass during the bulking phase; however, much of that fat-free mass was lost during the cutting phase along with fat mass. Based on our analysis, we recommend an evidence-based approach by people involved in bodybuilding, with the adoption of a more balanced and less artificial diet. One important alert should be given for the combined use of anabolic steroids and stimulants, since both are independently associated with serious cardiovascular events. A special focus should be given to revisiting resistance training and avoiding fasted cardio in order to decrease the reliance on drugs and thus preserve bodybuilders' health and integrity.
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Designing resistance training (RT) programs is a complex task that involves the manipulation of numerous variables that interact with each other, influencing the program outcomes (Tan, 1999; Paoli, 2012). The attempt to clearly define the combination of variables which would bring optimal adaptations for different outcomes is undermined by the large number of studies involving RT, the conflicting findings reported by many of them and the lack of methodological clarity and consistency in previous studies' protocols. As such, meta-analyses emerge as an attractive approach since they allow the combination of multiple studies in an attempt to estimate the effect size of a single variable, surpassing possible inadequacies of statistical power within individual studies. With this aggregation of information, a more robust estimation of the effects is possible. However, Field (2015) has noted a pertinent philosophical objection to these types of analyses that might apply to RT studies; in essence we have a replication crisis. Researchers often attempt to perform replications of the findings from earlier studies, yet frequently they do not adequately replicate the conditions of the original study. For example, one study may examine the effects of low or high set volume whilst participants train at a frequency of twice a week using repetition ranges of 8–12 and perform sets to momentary failure. Another may examine the effects of low or high set volume whilst participants train at a frequency of five times a week using 10 repetitions per set and not having participants perform sets to momentary failure. Though the two studies might appear to be examining whether low or high set volumes produce greater adaptations, they are in fact examining these within the context of different manipulations of other RT variables. There is likely a reason for this lack of proper replication, as was noted by Richard Feynman1. Indeed, we would argue that the currently heterogeneous body of literature on the effects of the manipulation of different RT variables is evidence of this replication crisis being alive and well in our field. In this current opinion article we explain specifically why it might be unwise to conduct meta-analyses with such heterogeneous RT studies noting the effects of different confounding RT variables, and also suggest that it might be irresponsible to make general estimates of RT effects and propose recommendations.
Article
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Prior resistance training (RT) recommendations and position stands have discussed variables that can be manipulated when producing RT interventions. However, one variable that has received little discussion is set end points (i.e. the end point of a set of repetitions). Set end points in RT are often considered to be proximity to momentary failure and are thought to be a primary variable determining effort in RT. Further, there has been ambiguity in use and definition of terminology that has created issues in interpretation of research findings. The purpose of this paper is to: 1) provide an overview of the ambiguity in historical terminology around set end points; 2) propose a clearer set of definitions related to set end points; and 3) highlight the issues created by poor terminology and definitions. It is hoped this might permit greater clarity in reporting, interpretation, and application of RT interventions for researchers and practitioners.
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Introduction: The present study evaluated and compared the recovery of pectoralis major (PM) and triceps brachii (TB) muscles of trained men after bench press exercise. Methods: Eighteen volunteers performed eight sets of bench press exercise to momentary muscle failure and were evaluated for TB and PM peak torque and total work on an isokinetic dynamometer. Results: PM peak torque and total work remained lower than baseline for 72 and 96 hours, respectively. TB peak torque was only different from baseline immediately post training, while total work was significantly lower than baseline immediately and 48 hours after training. Normalized peak torque values were only different between TB and PM at 48 hours post training. Discussion: Considering the small and nonsignificant difference between the recovery of TB and PM muscles, the results suggest that bench press exercise may promote a similar stress on these muscles. This article is protected by copyright. All rights reserved.
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The principle of progressive overload must be adhered to for individuals to continually increase muscle size with resistance training. While the majority of trained individuals adhere to this principle by increasing the number of sets performed per exercise session, this does not appear to be an effective method for increasing muscle size once a given threshold is surpassed. Opposite the numerous studies examining differences in training loads and sets of exercise performed, a few studies have assessed the importance of training frequency with respect to muscle growth, none of which have tested very high frequencies of training (e.g., 7 days a week). The lack of studies examining such frequencies may be related to the American College of Sports Medicine recommendation that trained individuals use split routines allowing at least 48 h of rest between exercises that stress the same muscle groups. Given the attenuated muscle protein synthetic response to resistance exercise present in trained individuals, it can be hypothesized that increasing the training frequency would allow for more frequent elevations in muscle protein synthesis and more time spent in a positive net protein balance. We hypothesize that increasing the training frequency, as opposed to the training load or sets performed, may be a more appropriate strategy for trained individuals to progress a resistance exercise program aimed at increasing muscle size.
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Background A number of resistance training (RT) program variables can be manipulated to maximize muscular hypertrophy. One variable of primary interest in this regard is RT frequency. Frequency can refer to the number of resistance training sessions performed in a given period of time, as well as to the number of times a specific muscle group is trained over a given period of time. Objective We conducted a systematic review and meta-analysis to determine the effects of resistance training frequency on hypertrophic outcomes. Methods Studies were deemed eligible for inclusion if they met the following criteria: (1) were an experimental trial published in an English-language refereed journal; (2) directly compared different weekly resistance training frequencies in traditional dynamic exercise using coupled concentric and eccentric actions; (3) measured morphologic changes via biopsy, imaging, circumference, and/or densitometry; (4) had a minimum duration of 4 weeks; and (5) used human participants without chronic disease or injury. A total of ten studies were identified that investigated RT frequency in accordance with the criteria outlined. Results Analysis using binary frequency as a predictor variable revealed a significant impact of training frequency on hypertrophy effect size (P = 0.002), with higher frequency being associated with a greater effect size than lower frequency (0.49 ± 0.08 vs. 0.30 ± 0.07, respectively). Statistical analyses of studies investigating training session frequency when groups are matched for frequency of training per muscle group could not be carried out and reliable estimates could not be generated due to inadequate sample size. Conclusions When comparing studies that investigated training muscle groups between 1 to 3 days per week on a volume-equated basis, the current body of evidence indicates that frequencies of training twice a week promote superior hypertrophic outcomes to once a week. It can therefore be inferred that the major muscle groups should be trained at least twice a week to maximize muscle growth; whether training a muscle group three times per week is superior to a twice-per-week protocol remains to be determined.
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