J Strength Cond Res 306: 1570–1576, 2016—The purpose of this study was to inves-tigate the influence of short and moderate recovery intervals during heavy strength exercise on performanc
Trang 1ON THE A CUTE I MMUNOMETABOLIC R ESPONSE TO
JOSEGEROSA-NETO,1 FABRI´CIO E ROSSI,1 EDUARDO Z CAMPOS,1 BARBARA M.M ANTUNES,1
JASONM CHOLEWA,2 ANDFABIO S LIRA1
1Exercise and Immunometabolism Research Group, Department of Physical Education, Univer Estadual Paulista (UNESP),
Presidente Prudente, SP, Brazil; and2Department of Kinesiology, Recreation, and Sport Studies, Coastal Carolina University,
Conway, South Carolina
ABSTRACT
Gerosa-Neto, J, Rossi, FE, Campos, EZ, Antunes, BMM,
Cholewa, JM, and Lira, FS Impact of short and moderate rest
intervals on the acute immunometabolic response to
exhaus-tive strength exercise: Part II J Strength Cond Res 30(6):
1570–1576, 2016—The purpose of this study was to
inves-tigate the influence of short and moderate recovery intervals
during heavy strength exercise on performance, inflammatory,
and metabolic responses in recreational weightlifters Eight
healthy subjects (age = 24.66 4.1 years) performed 2
ran-domized sequences with different rest intervals: short = 90%
of 1RM and 30 seconds rest allowed between sets; moderate
= 90% of 1RM and 90 seconds rest allowed between sets
All sequences of exercises were performed over 4 sets until
movement failure in the squat and bench press exercises,
respectively Glucose, TNF-a, IL-6, IL-10, IL-10/TNF-a ratio,
and nonester fatty acid concentrations were assessed at the
baseline, immediately postexercise, post-15 and post-30
mi-nutes We observed a statistically significant decrease after
30 seconds on maximum number of repetitions (p = 0.003)
and total weight lifted (p = 0.006) after the bench press, and
there was a marginal decrease in the squat (p = 0.055) The
glucose concentrations showed a significant increase
post-15 minutes in the 30-second condition (pre-exercise = 86.1
6 9.1, immediately = 85.3 6 8.2, 15 = 97.0 6 9.0,
post-30 = 87.16 5.3 mg/dl; p = 0.015); on the other hand, IL-10
increased post-30 minutes in the 90-second condition
(pre-exercise = 18.26 12.7, immediately = 16.4 6 10.7, post-15
= 16.86 12.2, post-30 = 35.0 6 13.1 pg/ml; p , 0.001) In
addition, the 90-second condition showed anti-inflammatory
effects (as indicated by IL-10/TNF-a ratio: pre-exercise =
1.08 6 1.32, immediately = 1.23 6 1.20, post-15 = 1.15
6 1.14, post-30 = 2.48 6 2.07; p = 0.020) compared with the 30-second condition (pre-exercise = 1.306 2.04, imme-diately = 0.996 1.27, post-15 = 1.23 6 1.82, post-30 = 1.286 1.28; p = 0.635) Thus, we concluded that a moderate interval of recovery (90 seconds) during heavy strength exer-cise allowed higher workload, IL-10 levels, and IL-10/TNF-a ratio in recreational weightlifters
KEY WORDSinterval of recovery, inflammation, metabolism
INTRODUCTION
The stimuli generated in strength training
proto-cols cause changes in the production and release
of hormones and cytokines because of an increase in energetic demand and skeletal mus-cle injury (3) The acute immunological response to train-ing plays a role in energy metabolism (10), skeletal muscle repair and remodeling, and the anabolic/catabolic response, and may respond differently according the type
of exercise, intensity, volume and recovery between exer-cise bouts (9,13)
Philips et al (12) compared strength training sets on the same 8 exercises with different intensities (2 sets of 12 repetitions followed by a third set to fatigue at 65% 1 repetition maximum [1RM], and 2 sets of 8 repetitions and with a third set to fatigue at 85% 1RM) and observed increases in IL-6 concentrations after both intensities
When the load volume is matched, IL-6 elevation is sim-ilar between different intensities (15) Recently, our group demonstrated the influence of interval length on immuno-metabolic responses in recreational weightlifters (13)
Pooled IL-6 concentrations (i.e., cluster of all periods in each variable) were higher after 4 sets at 70% of 1RM performed until exhaustion with 90-second recovery com-pared with 30-second recovery However, no increase was observed in TNF-a, IL-6, or IL-10 Thus, because muscle IL-6 release might be related with anti-inflammatory
Address correspondence to Fabrı´cio E Rossi, rossifabricio@yahoo.
com.br.
30(6)/1570–1576
Journal of Strength and Conditioning Research
Ó 2016 National Strength and Conditioning Association
Trang 2status and muscle protein synthesis (12), moderate
inter-vals may be better to induce positive adaptations (13)
The immunometabolic response to more intense strength
training sets (i.e., 90% of 1RM) requires further investigation;
however, especially because total volume (an important
variable to immunometabolic alteration) decreases with
higher intensities (15) and a higher metabolic demand may
modify the anti-inflammatory status (3) Moreover,
under-standing the immunometabolic response in terms of
sub-strate availability and adaptation during sets of heavy
strength exercise is important to adjust/modify the strength
training periodization to ensure the correct adaptation is
being pursued because 90% of 1RM and 30–90 seconds of
recovery interval is extensively used during strength training
Thus, the purpose of this study was to investigate the
influence of short (30-second) and moderate (90-second)
recovery intervals during sets of heavy strength exercise
performed until exhaustion on inflammatory and metabolic
responses in recreational weightlifters Our hypothesis is that
a high-intensity strength exercise session with moderate
recovery intervals (90-second) can induce a positive
inflam-matory response compared with short recovery intervals
(30-second) because of higher IL-10 levels that result from
the higher metabolic demands
METHODS
Experimental Approach to the Problem
To investigate the effect of 2 different rest periods between
sets (30 and 90 seconds) on the immunometabolic response,
data were collected using a randomized and
counterbal-anced within-subjects design Subjects performed the 2
exercise sessions at 72 hours intervals The test of 1RM
was determined on nonconsecutive days, 1 week before the
exercise protocols for all subjects The blood samples were
collected pre-exercise, immediately after exercise, and
post-15 minutes and post-30 minutes into recovery (Figure 1)
Subjects
Eight male subjects with strength training experience (.6
months) (1) voluntarily participated in this study All subjects
performed weight training with a mean frequency of 4
sessions per week for approximately 1 hour per session Inclusion criteria for participation in the study were the following: age between 20 and 32 years, and no contra-indications involving the cardiovascular system, muscles, joints, or bones of the lower limbs with regard to the prac-tice of strength training This study was conducted in accordance with the Helsinki Declaration Approval for the study was obtained from the appropriate Institutional Review Board (IRB) Informed consent was obtained from all participants before their participation The study con-forms to the Code of Ethics of the World Medical Associ-ation (approved by the ethics advisory board of Swansea University) and required players to provide informed con-sent before participation
Procedures
Anthropometric Measurements and Dietary Intake Assessment Anthropometry consisted of body weight and height measurements Height was measured on a fixed stadiometer
of the Sanny brand with an accuracy of 0.1 cm and a length
of 2.20 m Body weight was measured using an electronic scale (Filizola PL 50; Filizola Ltda., Brazil), with a precision
of 0.1 kg
Diet was not standardized; however, participants were required to eat 3 hours before all testing sessions Partic-ipants were instructed by a nutritionist how to complete the food records and were required to record all foods con-sumed on the day of each testing session Nutrition data were analyzed for energy intake and macronutrient distri-bution using the NutWin software, version 1.5 (Programa de Apoio a` Nutric¸a˜o, Universidade Federal de Sa˜o Paulo, Brazil, 2002)
Test of One Repetition Maximum One week before testing, the participants performed 4 sets of 10–12 repetition in each exercise, 3 times per week (Monday, Wednesday and Friday) for familiarization with equipment The test of 1RM was performed using the squat and bench press exercises The 1RM test consisted of 5 minutes of warm-up (jogging), fol-lowed by the performance of 1 set of 10 repetitions of each exercise at approximately 50% of the 1RM The load was
increased gradually (10–15%) during the test until the partic-ipants were no longer able to perform the entire movement, and 3–5 attempts were allowed (1) For recovery, an interval of 3–5 minutes between attempts was given (1) No rest was al-lowed between the concentric and eccentric phases of the movement, and the partici-pants were encouraged ver-bally to exert a maximum effort In addition, for better
Figure 1 Study design.
Trang 3control of the 1RM test procedures, a wooden seat with
adjustable heights was placed behind the participant to keep
the bar displacement and knee angle (;908) constant on
each half-squat repetition Two fitness professionals super-vised all testing sessions
Experimental Protocol At 72 hours after the 1RM test, subjects performed 2 randomized exercise sessions separated
by 72 hours interval Before the exercise sessions, 5 minutes
of warm-up (jogging) was performed During the exercise sessions, subjects were verbally encouraged to perform all sets until exhaustion in each exercise
The exercise order for all sessions was squats followed by bench press In both conditions, subjects performed 4 sets of squat and then 4 sets of bench press using 90% of the 1RM
In the short interval, 30 seconds (30-second) of rest was allowed between sets and exercises; whereas in the moderate interval, 90 seconds (90-second) of rest was allowed between
TABLE1.Subject characteristics
Variables Mean6 SD (n = 8)
Age (yr) 25.26 4.1
Height (cm) 178.16 10.4
Weight (kg) 76.46 7.7
Fat mass (%) 18.36 6.1
Fat free mass (%) 77.26 5.7
Figure 2 Comparison of the maximum number of repetitions at the squat (A), bench press (B), total weight lifted at the squat (C), bench press (D), and
maximum number of repetitions in each series at the squat (E) and bench press (F) a = Tukey’s post hoc test with p-value # 0.05 compared with series-1; b =
Tukey’s post hoc test with p-value # 0.05 compared with series-2 Student’s t-test for independent samples was performed and repeated measurements were
conducted for the analyses when necessary.
Trang 4sets and exercises All the sequences of exercises were
performed for 4 sets until movement failure for each exercise
with normal speed (1-second eccentric and 1-second
con-centric actions with 1-second pause between each
repeti-tion) (16) The total number of repetitions performed was
recorded for each set of each exercise and for all sequences
and used to analyze workload and performance All the
se-quences of exercises were performed 3 hours after prandial
Blood Samples and Analysis Blood samples were collected at
rest, immediately, 15 and 30 minutes after acute exercise
sessions The blood samples (10 ml) were immediately
allocated into two 5 ml vacutainer tubes (Becton
Dick-inson, Juiz de Fora, Brazil) containing EDTA for plasma
separation and into one 5 ml dry vacutainer tube for serum
separation The tubes were centrifuged at 3,000 RPM for
15 minutes at 48 C, and plasma and serum samples were
stored at 2208 C until analysis Glucose was assessed
through a commercial enzymatic kit (Labtest, Sa˜o Paulo,
Brazil) Nonester fatty acid (NEFA) was assessed by a
col-orimetric method with a commercial kit (Wako
Diagnos-tics, CA, USA) Cytokines (IL-6, IL-10, and TNF-a) were
assessed using ELISA commercial kits
(Affymetrix/eBio-science, Ambriex S/A, Brazil) IL-6, IL-10, TNF-a, and
glucose were assessed using serum, and NEFA was
as-sessed using plasma To eliminate interassay variance, all
samples were analyzed in identical runs resulting in an
intra-assay variance of ,7% Standard curve range for
TNF-a (7.81–500 pg/ml), IL-6 (3.12–200 pg/ml) and
IL-10 (4.68–300 pg/ml), NEFA (0.01–4.00 mEq/L), and for glucose reference standard was 100 mg/dl
Statistical Analyses
The data normality was verified using the Shapiro–Wilk test The comparison of the total weight lifted the maxi-mum number of repetitions under the different conditions and food intake was analyzed using the Student’s t-test for independent samples The comparison of the maximum number of repetitions in each series was conducted by repeated measurements analyses and the differences in the glucose, NEFA and cytokines were calculated perform-ing a 2-way repeated measure of ANOVA (group3 time) When a significant difference in group or interaction was observed, a Tukey’s post hoc test was conducted For all measured variables, the estimated sphericity was verified according to Mauchly’s W test, and the Greenhouse– Geisser correction was used when necessary Statistical significance was set at p # 0.05 The data were analyzed using the Biostat (version 5.0)
RESULTS
The mean6 SD values of the subjects’ characteristics are presented in Table 1 Total food intake and macronutrient distribution 3 hours before the test (expressed in kcal) were similar between conditions (30-second = 870.5 6 525.6 Kcal vs 90-second = 836.2 6 593.8 Kcal; p = 0.906) (carbohydrates: 30-second = 123.7 6 118.3 vs 90-second = 124.3 6 6.4 grams, p = 0.992; protein:
Figure 3 Comparison of the IL-6 (A), IL-10 (B), TNF- a (C), and IL-10/TNF-a ratio (D) immediately after exercise (immediately), 15 minutes,
post-30 minutes into recovery Two-way analysis of variance (condition 3 time) with repeated measurements of the second factor.
Trang 530-second = 45.0 6 27.7 vs 90-second = 38.1 6 32.8
grams, p = 0.657; lipids: 30-second = 18.1 6 10.1 vs
90-second = 24.96 11.1 grams, p = 0.210)
Figure 2 presents the maximum number of repetition and
total weight lifted during squat (Figures 2A, C) and bench
press (Figures 2B, D) in both conditions Figures 2E, F
showed the volume decrement during the sets of squat
and bench press during 30-second and 90-second,
respec-tively There were significant differences between conditions
for maximal number of repetitions (30 seconds = 8.66 2.7 3
90 seconds = 14.46 3.8 repetitions) and total weight lifted
(30 seconds = 650.4 6 224.9 3 90 seconds = 1.080.5 6
305.3 kg) in the bench press; however, there was a marginal
decrease in squat for maximal number of repetitions (30
seconds = 196 9.7 3 90 seconds = 32 6 14.5 repetitions)
and total weight lifted (30 seconds = 3.253.56 1.577.8 3 90
seconds = 5.926.86 3.255.4 kg)
The cytokines are presented in Figure 3 IL-10 increased
at post-30 in the 90-second condition (pre-exercise = 18.26
12.7 pg$ml21, immediately = 16.4 6 10.7 pg$ml21,
post-15 = 16.86 12.2 pg$ml21, and post-30 = 35.0 6 13.1 pg$ml21; p , 0.001) but with-out significant differences in the 30-second condition (pre-exercise = 17.06 10.0 pg$ml21, immediately = 16.6 6 10.9 pg$ml21, post-15 = 15.3 6 10.0 pg$ml21, and post-30 = 23.1 6 15.1 pg$ml21; p = 0.091) In addition, the IL-10/
TNF-a ratio showed increases only at post-30 in the 90-second condition (pre-exercise
= 1.086 1.32, immediately = 1.236 1.20, post-15 = 1.15 6 1.14, post-30 = 2.486 2.07; p = 0.020), but not in the 30-second condition (pre-exercise
= 1.30 6 2.04, immediately = 0.996 1.27, post-15 = 1.23 6 1.82, post-30 = 1.286 1.28; p = 0.635)
Glucose increased in the 30-second condition at 15 mi-nutes after exercise (pre-exer-cise = 86.1 6 9.1 mg$dl21, immediately = 85.3 6 8.2 mg$dl21, post-15 = 97.0 6 9.0 mg$dl21, and post-30 = 87.1 6 5.3 mg$dl21; p = 0.015) but there were no sig-nificant differences in the 90-second condition (pre-exercise = 84.2 6 8.5 mg$dl21, immediately = 89.6 6 13.1 mg$dl21, post-15 = 90.66 11.4 mg$dl21, and post-30 = 86.36 13.2 mg$dl21;
p = 0.758) There were no significant differences between time and condition for TNF-a and NEFA, but there was
a tendency in IL-6 during 30-second condition There were no interactions (time 3 condition) for any of the variables analyzed (Figure 4)
DISCUSSION
The aim of the present study was to investigate the effects of short (30 seconds) and moderate (90 seconds) recovery intervals during sets of heavy strength exercise on inflam-matory and metabolic responses in recreational weightlifters
The main findings of the present study were that (a) both exercise sessions did not change IL-6, TNF-a, and NEFA;
(b) 30-second induced a greater increase in glucose concen-trations 15 minutes after exercise; and (c) 90-second pro-moted an increase in IL-10 concentrations and the IL-10/
TNF-a ratio in relation to baseline during heavy strength exercise in recreational weightlifters
Figure 4 Comparison of the glucose (A) and NEFA (B) immediately after exercise (immediately),
post-15 minutes, post-30 minutes into recovery Two-way analysis of variance (condition 3 time) with repeated
measurements of the second factor.
Trang 6When analyzing the inflammatory responses, neither
condition affected the IL-6 or TNF-a concentrations Lira
et al (6) analyzed 4 repeated efforts of high intensity
(Wing-ate test) for upper and lower limbs in judo athletes and did
not find significant changes in IL-6 and TNF-a The absence
of change in IL-6 and TNF-a in the present study and Lira
et al (6) may be attributed, in part, to low exercise volumes
Thus, it seems that IL-6 increase is dependent on exercise
volume since we found that IL-6 was enhanced after a similar
exhaustive protocol at 70% of 1RM (2,13) Muscle-derived
IL-6 exerts both a metabolic and immunological effect,
increasing glucose uptake and anti-inflammatory function,
and decreasing TNF-a concentration (11) Steensberg
et al (14) tested if infusion of plasma IL-6 induces an
anti-inflammatory status in young, healthy individuals and did
not observe enhanced levels of the proinflammatory
cyto-kine (TNF-a) but did observe increased plasma levels of
anti-inflammatory cytokines (IL-1 receptor agonist [IL-1ra]
and IL-10) compared with saline infusion The same study
also found IL-6 induced an increase in cortisol Given the
low volume in both conditions (30 and 90 seconds) and high
intensity (90% of 1RM), there may not have sufficient
vol-ume to stimulate IL-6 in this study compared with the
high-er volumes used in our 70% study This may also explain the
difference in the glucose response observed between studies
Contrary to our previous findings (13) that used 4 sets at
70% of 1RM performed until exhaustion with the same
interval recovery as in this study (90- against 30-second),
the 30-second condition exhibited greater glucose levels
than 90-second The anaerobic metabolic pathways of
phos-phocreatine (ATP-CP) and glycolysis are predominantly
used to support the contractile activity of the muscles in this
type of exercise; however, short intervals of recovery do not
provide sufficient time for complete creatine phosphate
re-synthesis leading to a higher glycolytic contribution,
eleva-tions in intracellular [H+], and great utilization of glycogen
stores, stimulating its liberation
Moderate rest intervals (90-second) increased IL-10 and
IL-10/TNF-a ratio after 30 minutes when compared with
pre-exercise values These results disagree with our previous
findings because no difference was found in 10 and
IL-10/TNF-a ratio (13) Izquierdo et al (3) demonstrated IL-10
concentrations increased following 5 sets until movement
failure to 10 RM with 120 seconds of rest between the sets
in male subjects when compared with pretraining condition
Because the 90-second condition performed a higher
exer-cise volume than 30-second (Figure 2), the higher metabolic
demand during the exercise session likely influenced the
IL-10 response (2)
Currently, the IL-10/TNF-a ratio has been adopted as an
inflammatory status indicator, and low levels are associated
with poor prognoses and increased susceptibility to various
morbidities (4,5) Nikseresht et al (8) compared the changes
of this ratio in obese subjects after 12 weeks of training using
high-intensity intermittent exercise (treadmill, 43 4 minute;
80–90% of maximum heart rate) and strength training with nonlinear periodization (40–65 minutes, 3 3 week; mild, moderate, and severe) They showed that a significant increase in the IL-10/TNF-a ratio was accompanied by significant reductions in fat mass and serum insulin concen-trations and also improved the sensitivity to insulin’s action (HOMA-IR) Our group recently found that 4 sets of 70% 1RM with 30-second and 90-second recovery did not increase IL-10 concentrations or the IL-10/TNF-a ratio (13) This may reflect that within high-intensity exercise (90% of 1RM) and moderate recovery interval (90-second), there is an increased anti-inflammatory response The higher IL-10 concentration blocks the possible effects of TNF-a, whereas the IL-10/TNF-a ratio is increased more in the trained subject compared with the sedentary subject (7) This regulation favors the anti-inflammatory environment, and it can be one of the mechanisms through which chronic exercise increases anti-inflammatory response
Although the present study adds data regarding the anti-inflammatory response (higher IL-10 levels and IL-10/ TNF-a ratio) during heavy strength exercise, some limita-tions in this study should be considered, such as the volume discrepancy between conditions It is possible that if repeti-tion volume was the same, the immunometabolic response would be also similar; however, this is yet to be tested Fur-ther research should evaluate the effects of short and mod-erate rest intervals on the immunometabolic response when the volume is matched between conditions
In summary, differing rest intervals promotes diverging immunometabolic responses in recreational weightlifters, with 90-second promoting an anti-inflammatory environ-ment More research is needed to investigate the interaction between heavy chronic training, the immunological response, and adaptation
PRACTICALAPPLICATIONS
This study demonstrates to coaches and trainers who employ heavy strength exercise that moderate recovery intervals between sets promote an increased anti-inflammatory response (IL-10 and IL-10/TNF-a), and together with a higher overall volume achieved may better promote the hypertrophic and adaptive process when train-ing with heavy loads
Fabio Santos Lira thanks Fapesp for their support (2013/ 25310–2) The authors declare that they have no conflict of interest
REFERENCES
1 American College of Sports Medicine L Kaminsky, ed ACSM’s Guidelines for Exercise Testing and Prescription 7th ed Baltimore, Maryland, 2006.
2 Gleeson, M Immune function in sport and exercise J App Physiol 103: 693–699, 2007.
Trang 73 Izquierdo, M, Iban˜ez, J, Calbet, JA, Navarro-Amezqueta, I,
Gonza´lez-Izal, M, Idoate, F, Ha¨kkinen, K, Kraemer, WJ,
Palacios-Sarrasqueta, M, Almar, M, and Gorostiaga, EM Cytokine and
hormone responses to resistance training Eur J Appl Physiol 107:
397–409, 2009.
4 Kaur, K, Sharma, AK, Dhingra, S, and Singal, PK Interplay of
TNF-a TNF-and IL-10 in regulTNF-ating oxidTNF-ative stress in isolTNF-ated TNF-adult cTNF-ardiTNF-ac
myocytes J Mol Cell Cardiol 41: 1023–1030, 2006.
5 Leonidou, L, Mouzaki, A, Michalaki, M, DeLastic, AL,
Kyriazopoulou, V, Bassaris, HP, and Gogos, CA Cytokine
production and hospital mortality in patients with sepsis-induced
stress hyperglycemia J Infect 55: 340–346, 2007.
6 Lira, FS, Panissa, VL, Julio, UF, and Franchini, E Differences in
metabolic and inflammatory responses in lower and upper body
high-intensity intermittent exercise Eur J Appl Physiol 115: 1467–1474, 2015.
7 Lira, FS, Rosa, JC, Zanchi, NE, Yamashita, AS, Lopes, RD,
Lopes, AC, Batista, ML Jr, and Seelaender, M Regulation of
inflammation in the adipose tissue in cancer cachexia: Effect of
exercise Cell Biochem Funct 27: 71–75, 2009.
8 Nikseresht, M, Agha-Alinejad, H, Azarbayjani, MA, and
Ebrahim, K Effects of nonlinear resistance and aerobic interval
training on cytokines and insulin resistance in sedentary men who
are obese J Strength Cond Res 28: 2560–2568, 2014.
9 Paulsen, G, Mikkelsen, UR, Raastad, T, and Peake, JM Leucocytes,
cytokines and satellite cells: What role do they play in muscle
damage and regeneration following eccentric exercise? Exerc Immunol 18: 42–97, 2012.
10 Pedersen, BK Muscular interleukin-6 and its role as an energy sensor Med Sci Sports Exerc 44: 392–396, 2012.
11 Petersen, AM and Pedersen, BK The anti-inflammatory effect of exercise J Appl Physiol 98: 1154–1162, 2005.
12 Phillips, MD, Mitchell, JB, Currie-Elolf, LM, Yellott, RC, and Hubing, KA Influence of commonly employed resistance exercise protocols on circulating IL-6 and indices of insulin sensitivity J Strength Cond Res 24: 1091–1101, 2010.
13 Rossi, FE, Gerosa-Neto, J, Zanchi, NE, Cholewa, JM, and Lira, FS.
Impact of short and moderate rest intervals on the acute immunometabolic response to exhaustive strength exercise J Strength Cond Res 2015.
14 Steensberg, A, Fischer, CP, Keller, C, Møller, K, and Pedersen, BK.
IL-6 enhances plasma IL-1ra, IL-10, and cortisol in humans Am J Physiol Endo Metab 285: E433–E7, 2003.
15 Uchida, MC, Nosaka, K, Ugrinowitsch, C, Yamashita, A, Martins, E
Jr, Moriscot, AS, and Aoki, MS Effect of bench press exercise intensity on muscle soreness and inflammatory mediators J Sports Sci 27: 499–507, 2009.
16 Watanabe, Y, Tanimoto, M, Oba, N, Sanada, K, Miyachi, M, and Ishii, N Effect of resistance training using bodyweight in the elderly:
Comparison of resistance exercise movement between slow and normal speed movement Geriatr Gerontol Int 2015.