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Ioannidou P, Dóró Z, Schalla J, Wätjen W, Diel P, Isenmann E. Analysis of combinatory effects of free weight resistance training and a high-protein diet on body composition and strength capacity in postmenopausal women - A 12-week randomized controlled trial. J Nutr Health Aging 2024; 28:100349. [PMID: 39232439 DOI: 10.1016/j.jnha.2024.100349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 08/22/2024] [Accepted: 08/23/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND Menopause has a significant impact on the endocrine system of middle-aged women, resulting in a loss of skeletal muscle mass (SMM), changes in fat mass (FM) and a reduction in strength capacity. Resistance training (RT) and a high-protein diet (HPD) are effective methods for maintaining or increasing SMM. This study aims to determine the effects of HPD and RT on body composition, muscle thickness and strength capacity in postmenopausal women. METHODS In total 55 healthy postmenopausal women (age: 58.2 ± 5.6 years, weight 69.1 ± 9.6 kg, height 166.5 ± 6.5 cm) successfully participated in the study. The women were randomly assigned to either group: training + protein (2.5 g/kg fat-free mass (FFM)) (n = 15; TP); only training (n = 12; T); only protein (2.5 g/kg FFM) (n = 14; CP) or control (n = 14; C). TP and T performed RT for 12 weeks with three training sessions and five exercises each. CP and C were prohibited from training during the period. The main parameters analysed for body composition were FFM, SMM, FM, muscle thickness of the M. rectus femoris, M. biceps femoris, M. triceps brachii and M. biceps brachii muscles. Strength was tested using a dynamometer for grip strength and 1-RM in the squat (BBS) and deadlift (DL). RESULTS The SMM significantly increased by RT (TP: (Δ+1.4 ± 0.9 kg; p < 0.05; d = 0.4; T: Δ+1.2 ± 1.3kg; p < 0.05; d = 0.3) and FM could be reduced only in T: (Δ-2.4 ± 2.9 kg; p < 0.05; d = 0.3). In muscle thickness a significant increase in the M. biceps brachii in both training groups (TP: (Δ+0.4 ± 0.3 cm; p < 0.05; d = 1.6; T: (Δ+0.3 ± 0.3 cm; p < 0.05; d = 0.9) and in M. biceps femoris only in TP (Δ+0.3 ± 0.4 cm; p < 0.05; d = 0.9) were observed. HPD without training does not affect body composition, A significant increase in grip strength (TP: Δ+4.7 ± 2.4 kg; (p < 0.05; d = 1.5; T: (Δ+3.6 ± 3.0 kg; p < 0.05; d = 0.8), in BBS (TP: (Δ+30.0 ± 14.2 kg; p < 0.05; d = 1.5; T: (Δ+34.0 ± 12.0 kg; p < 0.05; d = 2.4) and in DL (TP: (Δ+20.8 ± 10.3 kg; p < 0.05; d = 1.6; T: (Δ+22.1 ± 7.6 kg; p < 0.05; d = 2.0) was observed in both training groups. The CP also recorded a significant increase in the BBS (Δ+7.5 ± 5.4 kg; p < 0.05; d = 0.4) and in DL (Δ+5.5 ± 7.7 kg; p < 0.05; d = 0.5). No significant differences were detected for TP and T for any of the parameters. CONCLUSION The results indicate that RT enhances body composition and strength capacity in postmenopausal women and is a preventive strategy against muscle atrophy. Besides HPD without training has a trivial significant effect on BBS and DL. HPD with RT has no clear additive effect on body composition and strength capacity. Further studies are needed to confirm these observations.
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Affiliation(s)
- Paulina Ioannidou
- Institute for Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sports University Cologne, Cologne, Germany.
| | - Zsuzsanna Dóró
- Biofunctionality of Secondary Plant Compounds, Institute of Agricultural and Nutritional Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Jan Schalla
- Department of Fitness and Health, IST University of Applied Sciences, Dusseldorf, Germany
| | - Wim Wätjen
- Biofunctionality of Secondary Plant Compounds, Institute of Agricultural and Nutritional Martin-Luther-Universität Halle-Wittenberg, Halle, Germany
| | - Patrick Diel
- Institute for Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sports University Cologne, Cologne, Germany
| | - Eduard Isenmann
- Institute for Cardiovascular Research and Sports Medicine, Department of Molecular and Cellular Sports Medicine, German Sports University Cologne, Cologne, Germany; Department of Fitness and Health, IST University of Applied Sciences, Dusseldorf, Germany
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Kassiano W, Costa BDDV, Kunevaliki G, Lisboa F, Tricoli I, Francsuel J, Lima L, Stavinski N, Cyrino ES. Bigger Calves from Doing Higher Resistance Training Volume? Int J Sports Med 2024; 45:739-747. [PMID: 38684187 DOI: 10.1055/a-2316-7885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
We compared the effects of different weekly calf training sets on muscle size changes. Sixty-one untrained young women performed a calf training program for 6 weeks, 3 d·wk-1, with differences in resistance training volume. The participants were randomly assigned to one of the three groups: 6-SET, 9-SET, and 12-SET weekly calf training sets. The calf raise exercise was performed in sets of 15-20 repetitions maximum. The muscle thickness measurements of medial gastrocnemius (MG), lateral gastrocnemius (LG), and soleus (SOL) were taken via B-mode ultrasound. We used the sum of the three-muscle thickness as a proxy for the triceps surae (TSSUM). The 12-SET group elicited greater increases than the 6-SET in LG (6-SET=+ 8.1% vs. 12-SET=+ 14.3%; P=0.017), SOL (6-SET=+ 6.7% vs. 12-SET=+ 12.7%; P=0.024), and TSSUM (6-SET=+ 6.9% vs. 12-SET=+ 12.0%; P=0.005), but there was no significant difference in MG changes (6-SET=+ 6.6% vs. 12-SET=+ 9.9%; P=0.067). There were no significant differences when comparing 9-SET vs. 6-SET and 12-SET (P≥0.099). Although all groups experienced calf muscle hypertrophy, our results suggest that the higher dose range may optimize triceps surae muscle size gains.
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Affiliation(s)
- Witalo Kassiano
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | | | - Gabriel Kunevaliki
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | - Felipe Lisboa
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | - Ian Tricoli
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | - Jarlisson Francsuel
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | - Luis Lima
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | - Natã Stavinski
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
| | - Edilson S Cyrino
- Metabolism, Nutrition and Exercise Laboratory, Centre of Physical Education and Sport, State University of Londrina, Brazil
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Robinson ZP, Helms ER, Trexler ET, Steele J, Hall ME, Huang CJ, Zourdos MC. N of 1: Optimizing Methodology for the Detection of Individual Response Variation in Resistance Training. Sports Med 2024; 54:1979-1990. [PMID: 38878117 DOI: 10.1007/s40279-024-02050-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2024] [Indexed: 08/17/2024]
Abstract
Most resistance training research focuses on inference from average intervention effects from observed group-level change scores (i.e., mean change of group A vs group B). However, many practitioners are more interested in training responses (i.e., causal effects of an intervention) on the individual level (i.e., causal effect of intervention A vs intervention B for individual X). To properly examine individual response variation, multiple confounding sources of variation (e.g., random sampling variability, measurement error, biological variability) must be addressed. Novel study designs where participants complete both interventions and at least one intervention twice can be leveraged to account for these sources of variation (i.e., n of 1 trials). Specifically, the appropriate statistical methods can separate variability into the signal (i.e., participant-by-training interaction) versus the noise (i.e., within-participant variance). This distinction can allow researchers to detect evidence of individual response variation. If evidence of individual response variation exists, researchers can explore predictors of the more favorable intervention, potentially improving exercise prescription. This review outlines the methodology necessary to explore individual response variation to resistance training, predict favorable interventions, and the limitations thereof.
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Affiliation(s)
- Zac P Robinson
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA
| | - Eric R Helms
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA
- Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand
| | - Eric T Trexler
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - James Steele
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA
- Faculty of Sport, Health, and Social Sciences, Solent University, Southampton, UK
| | - Michael E Hall
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA
| | - Chun-Jung Huang
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA
| | - Michael C Zourdos
- Department of Exercise Science and Health Promotion, Muscle Physiology Laboratory, Florida Atlantic University, 777 Glades Road, Boca Raton, FL, 33431, USA.
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Yang X, Li Y, Mei T, Duan J, Yan X, McNaughton LR, He Z. Genome-wide association study of exercise-induced skeletal muscle hypertrophy and the construction of predictive model. Physiol Genomics 2024; 56:578-589. [PMID: 38881426 DOI: 10.1152/physiolgenomics.00019.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 05/21/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024] Open
Abstract
The aim of the current study was to investigate interindividual differences in muscle thickness of the rectus femoris (MTRF) following 12 wk of resistance training (RT) or high-intensity interval training (HIIT) to explore the genetic architecture underlying skeletal muscle hypertrophy and to construct predictive models. We conducted musculoskeletal ultrasound assessments of the MTRF response in 440 physically inactive adults after the 12-wk exercise period. A genome-wide association study was used to identify variants associated with the MTRF response, separately for RT and HIIT. Using the polygenic predictor score (PPS), we estimated the genetic contribution to exercise-induced hypertrophy. Predictive models for the MTRF response were constructed using random forest (RF), support vector mac (SVM), and generalized linear model (GLM) in 10 cross-validated approaches. MTRF increased significantly after both RT (8.8%, P < 0.05) and HIIT (5.3%, P < 0.05), but with considerable interindividual differences (RT: -13.5 to 38.4%, HIIT: -14.2 to 30.7%). Eleven lead single-nucleotide polymorphisms in RT and eight lead single-nucleotide polymorphisms in HIIT were identified at a significance level of P < 1 × 10-5. The PPS was associated with the MTRF response, explaining 47.2% of the variation in response to RT and 38.3% of the variation in response to HIIT. Notably, the GLM and SVM predictive models exhibited superior performance compared with RF models (P < 0.05), and the GLM demonstrated optimal performance with an area under curve of 0.809 (95% confidence interval: 0.669-0.949). Factors such as PPS, baseline MTRF, and exercise protocol exerted influence on the MTRF response to exercise, with PPS being the primary contributor. The GLM and SVM predictive model, incorporating both genetic and phenotypic factors, emerged as promising tools for predicting exercise-induced skeletal muscle hypertrophy.NEW & NOTEWORTHY The interindividual variability induced muscle hypertrophy by resistance training (RT) or high-intensity interval training (HIIT) and the associated genetic architecture remain uncertain. We identified genetic variants that underlie RT- or HIIT-induced muscle hypertrophy and established them as pivotal factors influencing the response regardless of the training type. The genetic-phenotype predictive model developed has the potential to identify nonresponders or individuals with low responsiveness before engaging in exercise training.
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Affiliation(s)
- Xiaolin Yang
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
- Key Laboratory for Performance Training and Recovery of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Yanchun Li
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
- Key Laboratory for Performance Training and Recovery of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Tao Mei
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
- Key Laboratory for Performance Training and Recovery of General Administration of Sport, Beijing Sport University, Beijing, China
| | - Jiayan Duan
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia
- Regenerative Medicine and Stem Cells Program, Australian Institute for Musculoskeletal Science, St Albans, Victoria, Australia
| | - Lars Robert McNaughton
- Sport Performance, Exercise and Nutrition Research Group, Department of Sport and Physical Activity, Edge Hill University, Ormskirk, United Kingdom
| | - Zihong He
- Biology Center, China Institute of Sport Science, Beijing, China
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Enes A, Spiess B, Oneda G, Leonel DF, Bernardo MF, Macedo ACG, Alves RC, De Souza EO, Souza-Junior TP. Effects of Different Weekly Set Volumes on Strength and Perceptual Responses in Athletes. Int J Sports Med 2024; 45:690-697. [PMID: 38729165 DOI: 10.1055/a-2312-5103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
This study investigated the effects of different resistance training (RT) volumes quantified by weekly sets at high intensity (load and effort) on dynamic strength adaptations and psychophysiological responses in trained individuals. Twenty-four athletes were randomly allocated to three groups that performed three (3 S, n=8), six (6 S, n=8), and nine (9 S, n=8) weekly sets, respectively, three times a week on the barbell back squat and bench press during an 8-week period. While all groups showcased strength gains (p<0.05), post hoc comparisons revealed that 6 S and 9 S elicited greater strength adaptations than 3 S in barbell back squat (p=0.027 and p=0.004, respectively) and bench press (p=0.001 and p=0.044, respectively). There were no differences between 6 S and 9 S conditions for back squat (p=0.999) and bench press (p=0.378). Although a time effect was observed for Session-RPE (p=0.014) and Total Quality Recovery scale (p=0.020), psychophysiological responses were similar among groups. Our findings suggest that performing six and nine weekly sets at high intensities led to greater strength gains compared to three weekly sets in strength-trained individuals, despite similar psychophysiological responses.
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Affiliation(s)
- Alysson Enes
- Metabolism, Nutrition and Strength Training Research Group (GPMENUTF), Department of Physical Education, Federal University of Parana, Curitiba, Brazil
| | - Bruno Spiess
- Strength & Conditioning, T-Rex Sports Academy, Timbó, Brazil
- Physical Effort Laboratory, Sports Center, Department of Physical Education, Federal University of Santa Catarina, Florianopolis, Brazil
| | - Gustavo Oneda
- Physical Effort Laboratory, Sports Center, Department of Physical Education, Federal University of Santa Catarina, Florianopolis, Brazil
| | - Danilo Fonseca Leonel
- Athletics and Endurance Runners Research Group (PACE), Department of Physical Education, Federal University of Jequitinhonha and Mucuri Valleys, Diamantina, Brazil
| | - Mauro F Bernardo
- Metabolism, Nutrition and Strength Training Research Group (GPMENUTF), Department of Physical Education, Federal University of Parana, Curitiba, Brazil
| | - Ana Carolina G Macedo
- Metabolism, Nutrition and Strength Training Research Group (GPMENUTF), Department of Physical Education, Federal University of Parana, Curitiba, Brazil
| | - Ragami Chaves Alves
- Metabolism, Nutrition and Strength Training Research Group (GPMENUTF), Department of Physical Education, Federal University of Parana, Curitiba, Brazil
| | - Eduardo Oliveira De Souza
- Departament of Health Sciences and Human Performance, The University of Tampa, Tampa, FL, United States
| | - Tácito P Souza-Junior
- Metabolism, Nutrition and Strength Training Research Group (GPMENUTF), Department of Physical Education, Federal University of Parana, Curitiba, Brazil
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Lee YH, Kim H, Hwang J, Noh S. Effectiveness of Mobile-Based Progressive and Fixed Physical Activity on Depression, Stress, Anxiety, and Quality of Life Outcomes Among Adults in South Korea: Randomized Controlled Trial. JMIR Mhealth Uhealth 2024; 12:e55578. [PMID: 38865705 PMCID: PMC11208842 DOI: 10.2196/55578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/19/2024] [Accepted: 04/22/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Depression acts as a significant obstacle to the overall well-being of individuals. Given the significant consequences, timely recognition and proactive steps to manage symptoms of depression become essential. Such actions not only reduce personal distress but also play a crucial role in reducing its far-reaching impact on society as a whole. OBJECTIVE In response to this concern, the objective of this study was to explore the use of mobile-based interventions as a possible remedy. More specifically, this study aimed to investigate the effectiveness of 2 types of physical activity (PA), progressive and fixed, within a mobile-based app on depression, perceived stress, anxiety, physical health, and psychological health, aiming to contribute to the optimization of mental health benefits. METHODS Participants (N=60; mean age 25.29, SD 6.10 years) were recruited using a combination of web-based and offline methods, and the study lasted for 8 weeks. The baseline and posttest questionnaires were administered to all participants. The participants were randomly assigned to 1 of the 3 groups: progressive group (n=20; performing mobile-based progressive PA), fixed group (n=20; performing mobile-based fixed intensity PA), and control group C (n=20). Data analysis involved comparing scores between the experimental and control groups using a one-way ANOVA, paired sample t tests (2-tailed), and repeated measures ANOVA with a 3 (group)×2 (time) design. RESULTS The findings revealed significant improvements in mental health indicators among participants engaged in both fixed and progressive PA groups compared with the control group. However, the fixed PA group demonstrated more significant reductions in symptoms. Specifically, the progressive PA group showed significant reductions in depression (F1,36=6.941; P=.01; ηp2=0.16) and perceived stress (F1,36=5.47; P=.03; ηp2=0.13), while the fixed PA group exhibited significant reductions in depression (F1,37=5.36; P=.03; ηp2=0.12), perceived stress (F1,37=7.81; P=.008; ηp2=0.17), and general anxiety disorder (F1,37=5.45; P=.03; ηp2=0.13) compared with the control group. CONCLUSIONS This study underscores the potential of mobile-based PA in improving mental health outcomes. The findings offer significant insights for mental health professionals and researchers aiming to optimize mental well-being through innovative mobile therapies. TRIAL REGISTRATION Clinical Research Information Service KCT0009100; https://tinyurl.com/mr33fmur.
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Affiliation(s)
- Ye Hoon Lee
- Division of Global Sport Industry, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - Hyungsook Kim
- Department of Data Science, Hanyang University, Seoul, Republic of Korea
- Hanyang Digital Healthcare Center, Hanyang University, Seoul, Republic of Korea
| | - Juhee Hwang
- Division of Global Sport Industry, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - Sihyeon Noh
- Division of Global Sport Industry, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
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Lak M, Bagheri R, Ghobadi H, Campbell B, Wong A, Shahrbaf A, Shariatzadeh M, Dutheil F. Timing matters? The effects of two different timing of high protein diets on body composition, muscular performance, and biochemical markers in resistance-trained males. Front Nutr 2024; 11:1397090. [PMID: 38846541 PMCID: PMC11156191 DOI: 10.3389/fnut.2024.1397090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 04/29/2024] [Indexed: 06/09/2024] Open
Abstract
Background It is unclear whether resistance training in combination with different timing of protein intake might have differential effects on muscle hypertrophy, strength, and performance. Therefore, we compared the effects of 8 weeks of resistance training combined with two different high-protein diet strategies (immediately pre-and after, or 3 h pre and after exercise) in resistance-trained males. Methods Forty resistance-trained males (24 ± 4 years) performed 8 weeks of resistance training combined with 2 g kg-1 d-1 protein. Body composition, muscular performance, and biochemical markers were assessed pre and post-intervention. Results Nine participants (four from 3 h group and five from the immediate group) withdrew from the study. Therefore, 31 participants completed the study. All measures of skeletal muscle mass, Australian pull-up, and muscle strength, significantly increased post-intervention in both groups (p < 0.05). The biochemical marker urea also significantly increased from pre to post in both groups (p < 0.05). There were no significant between-group differences (p > 0.05). Conclusion High-protein diet enhances muscular performance and skeletal muscle mass in resistance-trained males, irrespective of intake time. Consequently, the total daily protein intake appears to be the primary factor in facilitating muscle growth induced by exercise.
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Affiliation(s)
| | - Reza Bagheri
- Department of Exercise Physiology, University of Isfahan, Isfahan, Iran
| | - Hamid Ghobadi
- Department of Exercise Physiology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Bill Campbell
- Performance and Physique Enhancement Laboratory, University of South Florida, Tampa, FL, United States
| | - Alexei Wong
- Department of Health and Human Performance, Marymount University, Arlington, TX, United States
| | - Amin Shahrbaf
- Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Fred Dutheil
- Université Clermont Auvergne CNRS, LaPSCo, Physiological and Psychosocial Stress, CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Preventive and Occupational Medicine, Clermont-Ferrand, France
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Lin YH, Li XH, Zhao HT, Chen JH, Li JQ, Yan Y. Short-term resistance training combined with cheese supplementation can optimize body parameters and intestinal microbiota in healthy adults. J Exerc Sci Fit 2024; 22:168-177. [PMID: 38464601 PMCID: PMC10920736 DOI: 10.1016/j.jesf.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 02/08/2024] [Accepted: 02/19/2024] [Indexed: 03/12/2024] Open
Abstract
Background Resistance training (RT) and protein supplementation have beneficial effects on the human body. However, it is unknown if RT's health-promoting benefits are enhanced by food-borne protein, such as cheese supplements. This study investigated at how the body composition, lipid profile, muscle strength and intestinal microbiota changed following four weeks of RT combined with cheese supplementation. Methods Thirty-five male and untrained adults were divided into 4 groups [control group (CON), low-dose group (LG), medium-dose group (MG), and high-dose group (HG)] and underwent a 4-week RT (3 times/week) in combination with cheese supplementation. Participants received 108 g (LG), 216 g (MG), or 324 g (HG) of cheese on the day of RT, and each serving (108 g) of cheese contained 6.7 g of food-borne protein. The RT program was a whole-body program with movements such as chest presses, leg presses, seated rowing, knee extensions and triceps pushdown. The exercise consisted of 3 sets of 8-12 repetitions at 70%RM, with a 120-s break in between. Body parameters (body composition, lipid profile and muscle strength) were assessed at baseline and after the 4 weeks of the intervention. The feces sample was taken every weekend. A two-way (group × time) mixed-design ANOVA was used to examine the body parameters. Independent one-way ANOVA was used to analyze the differences between groups in baseline characteristics and different values of each parameter. Results HDL-C level was higher in MG than in LG. In comparison to LG, MG had lower levels of total cholesterol, low-density lipoprotein cholesterol, body weight, body mass index, body fat mass and body fat percentage. However, there was no difference in muscle strength between in the four groups. The abundance of Actinobacteria was higher in LG and Erysipelotrichaceae was lower in MG and HG. Conclusion The findings suggest that cheese could be a readily available food-borne protein supplement to enhance the beneficial effects of RT on health. It may improve body composition and lipid profile by altering the proportion of intestinal microbiota. During the 4-week RT intervention, 13.4 g of foodborne protein in the form of cheese 3 times per week was the ideal dosage.
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Affiliation(s)
- Yi-Hsuan Lin
- Department of Sports Biochemistry, Sport Science School, Beijing Sport University, Beijing, 100084, China
| | - Xue-Han Li
- Department of Sports Biochemistry, Sport Science School, Beijing Sport University, Beijing, 100084, China
| | - Hao-Tian Zhao
- Department of Sports Biochemistry, Sport Science School, Beijing Sport University, Beijing, 100084, China
- Jiangnan University, Jiangsu, 214122, China
| | - Jian-Hao Chen
- Department of Sports Biochemistry, Sport Science School, Beijing Sport University, Beijing, 100084, China
| | - Jia-Qi Li
- Department of Sports Biochemistry, Sport Science School, Beijing Sport University, Beijing, 100084, China
| | - Yi Yan
- Department of Sports Biochemistry, Sport Science School, Beijing Sport University, Beijing, 100084, China
- Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing, 100084, China
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Homma H, Teshigawara N, Deguchi M, Saito M, Mochizuki Y, DE Almeida KY, Kozuma A, Tashiro S, Kikuchi S, Yumoto K, Matsumoto S, Nishiyama T, Kikuchi N. Effect of sprint interval training load on maximal oxygen uptake in trained men. J Sports Med Phys Fitness 2024; 64:328-333. [PMID: 37800403 DOI: 10.23736/s0022-4707.23.15370-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
BACKGROUND Sprint interval training (SIT) improves maximal aerobic and anaerobic performance, including oxygen uptake (VO2max), power output, and sprint performance. This study aimed to investigate the effect of SIT load on V̇O2max in trained subjects. METHODS SIT was performed twice a week for three weeks by twenty-four trained men (aged: 20.7±2.7, V̇O2max 43.6±6.5) and consisted of seven bouts of 10-s cycling sprints followed by a 4-min rest. Subjects were divided into two groups depending on the relative resistance of the load compared to their body mass (BM): 7.5% (S7.5) and 10% (S10). We measured the peak power, mean power, and peak cadence in SIT during the first and final sessions. V̇O2max, maximum aerobic power (MAP), heart rate, and lactate (La) concentration were measured before and after SIT using incremental tests. RESULTS After 3 weeks of SIT, V̇O2max, MAP, and La improved significantly in both S7.5 and S10 groups. In addition, changes in V̇O2max in S10 were higher than those in S7.5 (2.2±11.2% vs. 9.23±9.57%, P=0.029, adjusted by pre V̇O2max). MAP measurements showed the same results (2.2±11.3% vs. 8.3±10.0%, P=0.015, adjusted by pre-MAP). However, there was no significant interaction between time and group. A significant increase in peak cadence from first session to sixth sessions was observed in S7.5 (P=0.01, ES = 0.93, 95% confidence interval [CI]: 0.02-1.78) but not in S10 (P=0.132, ES = 0.22, 95% [CI]: -0.59-1.01). CONCLUSIONS Our results suggest that 3 weeks of SIT improves endurance performance in trained subjects. It seems that SIT at 10% load may tend to be more effective.
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Affiliation(s)
- Hiroki Homma
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Nobuaki Teshigawara
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Minoru Deguchi
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Mika Saito
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Yukina Mochizuki
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Kathleen Y DE Almeida
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Ayumu Kozuma
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Sora Tashiro
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Sayaka Kikuchi
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Kenichi Yumoto
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Shingo Matsumoto
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Tetsunari Nishiyama
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan
| | - Naoki Kikuchi
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo, Japan -
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10
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Enes A, DE Souza EO, Souza-Junior TP. Effects of Different Weekly Set Progressions on Muscular Adaptations in Trained Males: Is There a Dose-Response Effect? Med Sci Sports Exerc 2024; 56:553-563. [PMID: 37796222 DOI: 10.1249/mss.0000000000003317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
PURPOSE This study investigated the effect of progressively adding sets for the lower limb every 2 wk versus performing a constant set volume in resistance-trained males. METHODS Thirty-one resistance-trained males (age = 24.4 ± 2.9 yr, height = 175.5 ± 6.5 cm, body mass = 80.1 ± 9.4 kg, body fat = 14.4% ± 3.1%, resistance training [RT] experience = 5.1 ± 2.2 yr; one-repetition maximum [1RM] barbell back squat: body mass ratio = 1.7 ± 0.1 a.u.) were randomly allocated into a constant group (CG, n = 10), a four-set progression group (4SG, n = 10) or a six-set progression group (6SG, n = 11). After a 2-wk washout period and another 2-wk familiarization period, participants performed a lower-limb training program twice a week for 12 wk. Maximum dynamic strength (1RM) in the barbell back squat, vastus lateralis cross-sectional area, and the sum of lateral thigh muscle thickness at 30%, 50%, and 70% of the femur length were assessed at baseline and after the 12-wk training program. RESULTS Regarding 1RM, multiple comparisons revealed that 6SG elicited higher muscle strength gains than 4SG ( P = 0.002) and CG ( P < 0.0001), and 4SG had greater improvements than CG ( P = 0.023). Cross-sectional area and sum of lateral thigh muscle thickness showed no between-group differences ( P = 0.067 and P = 0.076, respectively). However, an inspection of 95% confidence intervals suggests a potential dose-response relationship, with results appearing to plateau in the higher volume conditions. CONCLUSIONS Our results suggest that progressively adding four or six sets per week every 2 wk elicited greater lower-limb strength in resistance-trained individuals over a 12-wk training period. Although our findings indicate a possible small benefit for higher volume conditions regarding hypertrophic adaptations in this population, the limited certainty of our findings warrants caution.
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Affiliation(s)
- Alysson Enes
- Metabolism, Nutrition and Strength Training Research Group-Federal University of Paraná (UFPR), Curitiba, PR, BRAZIL
| | - Eduardo O DE Souza
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, FL
| | - Tácito P Souza-Junior
- Metabolism, Nutrition and Strength Training Research Group-Federal University of Paraná (UFPR), Curitiba, PR, BRAZIL
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11
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Nuzzo JL, Pinto MD, Nosaka K, Steele J. Maximal Number of Repetitions at Percentages of the One Repetition Maximum: A Meta-Regression and Moderator Analysis of Sex, Age, Training Status, and Exercise. Sports Med 2024; 54:303-321. [PMID: 37792272 PMCID: PMC10933212 DOI: 10.1007/s40279-023-01937-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2023] [Indexed: 10/05/2023]
Abstract
The maximal number of repetitions that can be completed at various percentages of the one repetition maximum (1RM) [REPS ~ %1RM relationship] is foundational knowledge in resistance exercise programming. The current REPS ~ %1RM relationship is based on few studies and has not incorporated uncertainty into estimations or accounted for between-individuals variation. Therefore, we conducted a meta-regression to estimate the mean and between-individuals standard deviation of the number of repetitions that can be completed at various percentages of 1RM. We also explored if the REPS ~ %1RM relationship is moderated by sex, age, training status, and/or exercise. A total of 952 repetitions-to-failure tests, completed by 7289 individuals in 452 groups from 269 studies, were identified. Study groups were predominantly male (66%), healthy (97%), < 59 years of age (92%), and resistance trained (60%). The bench press (42%) and leg press (14%) were the most commonly studied exercises. The REPS ~ %1RM relationship for mean repetitions and standard deviation of repetitions were best described using natural cubic splines and a linear model, respectively, with mean and standard deviation for repetitions decreasing with increasing %1RM. More repetitions were evident in the leg press than bench press across the loading spectrum, thus separate REPS ~ %1RM tables were developed for these two exercises. Analysis of moderators suggested little influences of sex, age, or training status on the REPS ~ %1RM relationship, thus the general main model REPS ~ %1RM table can be applied to all individuals and to all exercises other than the bench press and leg press. More data are needed to develop REPS ~ %1RM tables for other exercises.
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Affiliation(s)
- James L Nuzzo
- Centre for Human Performance, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.
| | - Matheus D Pinto
- Centre for Human Performance, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
| | - Kazunori Nosaka
- Centre for Human Performance, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia
| | - James Steele
- School of Sport, Health, and Social Sciences, Solent University, Southampton, UK
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12
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Warneke K, Lohmann LH, Lima CD, Hollander K, Konrad A, Zech A, Nakamura M, Wirth K, Keiner M, Behm DG. Physiology of Stretch-Mediated Hypertrophy and Strength Increases: A Narrative Review. Sports Med 2023; 53:2055-2075. [PMID: 37556026 PMCID: PMC10587333 DOI: 10.1007/s40279-023-01898-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/22/2023] [Indexed: 08/10/2023]
Abstract
Increasing muscle strength and cross-sectional area is of crucial importance to improve or maintain physical function in musculoskeletal rehabilitation and sports performance. Decreases in muscular performance are experienced in phases of reduced physical activity or immobilization. These decrements highlight the need for alternative, easily accessible training regimens for a sedentary population to improve rehabilitation and injury prevention routines. Commonly, muscle hypertrophy and strength increases are associated with resistance training, typically performed in a training facility. Mechanical tension, which is usually induced with resistance machines and devices, is known to be an important factor that stimulates the underlying signaling pathways to enhance protein synthesis. Findings from animal studies suggest an alternative means to induce mechanical tension to enhance protein synthesis, and therefore muscle hypertrophy by inducing high-volume stretching. Thus, this narrative review discusses mechanical tension-induced physiological adaptations and their impact on muscle hypertrophy and strength gains. Furthermore, research addressing stretch-induced hypertrophy is critically analyzed. Derived from animal research, the stretching literature exploring the impact of static stretching on morphological and functional adaptations was reviewed and critically discussed. No studies have investigated the underlying physiological mechanisms in humans yet, and thus the underlying mechanisms remain speculative and must be discussed in the light of animal research. However, studies that reported functional and morphological increases in humans commonly used stretching durations of > 30 min per session of the plantar flexors, indicating the importance of high stretching volume, if the aim is to increase muscle mass and maximum strength. Therefore, the practical applicability seems limited to settings without access to resistance training (e.g., in an immobilized state at the start of rehabilitation), as resistance training seems to be more time efficient. Nevertheless, further research is needed to generate evidence in different human populations (athletes, sedentary individuals, and rehabilitation patients) and to quantify stretching intensity.
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Affiliation(s)
- Konstantin Warneke
- Institute for Exercise, Sport and Health, Leuphana University, Universitätsallee 1, 21335, Lüneburg, Deutschland, Germany.
- School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John's, NL, Canada.
- Institute of Sport Science, Alpen-Adria University Klagenfurt, Klagenfurt, Germany.
| | - Lars H Lohmann
- University Sports Center, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Camila D Lima
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Karsten Hollander
- Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Andreas Konrad
- Institute of Human Movement Science, Sport and Health, University of Graz, Graz, Austria
- School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Astrid Zech
- Department of Human Motion Science and Exercise Physiology, Friedrich Schiller University, Jena, Germany
| | - Masatoshi Nakamura
- Faculty of Rehabilitation Sciences, Nishi Kyushu University, Ozaki, Kanzaki, Saga, Japan
| | - Klaus Wirth
- Institute of Sport Science, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria
| | - Michael Keiner
- Department of Sport Science, German University of Health and Sport, Ismaning, Germany
| | - David G Behm
- School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John's, NL, Canada
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13
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Wei W, Zhu J, Ren S, Jan YK, Zhang W, Su R, He L. Effects of progressive body-weight versus barbell back squat training on strength, hypertrophy and body fat among sedentary young women. Sci Rep 2023; 13:13505. [PMID: 37598268 PMCID: PMC10439966 DOI: 10.1038/s41598-023-40319-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 08/08/2023] [Indexed: 08/21/2023] Open
Abstract
The objective of this study was to compare the effects of progressive bodyweight training and barbell back squat on muscle strength, muscluar hypertrophy, and body fat percentage in sedentary young women. Thirteen sedentary young women (aged 19.77 ± 0.83 years, height 164.91 ± 6.01) were randomly assigned to either the progressive bodyweight group (n = 6, consisting of 10 levels of movements progressing from bilateral to unilateral) or the barbell squat group (n = 7, 60-80% 1RM). Both groups underwent two training sessions per week for 6 weeks. Measurements of muscle strength (isokinetic knee extensor and flexor muscle peak torque of each leg), muscle thickness (gluteus maximus, rectus femoris, and gastrocnemius muscles), and body fat percentage were taken at baseline and post-testing. Both groups showed a significant increase in isometric peak torque of the knee extensor and flexor (p < 0.05), but there were no significant between-group differences in isometric peak torque of the knee extensor and flexor (p > 0.05) or in the mean concentric peak torque of the knee H/Q ratio (p > 0.05). Both groups also showed significant increases in muscle thickness (p < 0.05), with no significant differences in Gastrocnemius, Rectus femoris and Gluteus maximus (p > 0.05). The percentage of body fat significantly decreased in the barbell group (pre: 28.66 ± 4.58% vs post: 24.96 ± 5.91%, p = 0.044), but not in the bodyweight group (pre: 24.18 ± 4.63% vs post: 24.02 ± 4.48%, p = 0.679). Our findings indicate that while both training methods increased maximum strength and muscle mass, barbell back squat training may be more effective in reducing body fat percentage.
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Affiliation(s)
- Wei Wei
- Sports and Health Improvement Research Center of College of Physical Education and Sports, Beijing Normal University, Xinjiekouwai Street 19, Haidian District, Beijing, 100875, China
| | - JingX Zhu
- The Sports Medicine Laboratory of Peking University Third Hospital, Peking University Health Science Center, Beijing, China
| | - Shuang Ren
- The Sports Medicine Laboratory of Peking University Third Hospital, Peking University Health Science Center, Beijing, China
| | - Yih-Kuen Jan
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, USA
| | - WuL Zhang
- Sports and Health Improvement Research Center of College of Physical Education and Sports, Beijing Normal University, Xinjiekouwai Street 19, Haidian District, Beijing, 100875, China
| | - Ronghai Su
- Sports and Health Improvement Research Center of College of Physical Education and Sports, Beijing Normal University, Xinjiekouwai Street 19, Haidian District, Beijing, 100875, China
| | - Li He
- Sports and Health Improvement Research Center of College of Physical Education and Sports, Beijing Normal University, Xinjiekouwai Street 19, Haidian District, Beijing, 100875, China.
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14
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Training Specificity for Athletes: Emphasis on Strength-Power Training: A Narrative Review. J Funct Morphol Kinesiol 2022; 7:jfmk7040102. [PMID: 36412764 PMCID: PMC9680266 DOI: 10.3390/jfmk7040102] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/18/2022] Open
Abstract
Specificity has two major components: A strength-endurance continuum (S-EC) and adherence to principles of Dynamic Correspondence. Available evidence indicates the existence of the S-EC continuum from two aspects. Indeed, the S-EC exists, particularly if work is equated as a high load low repetition scheme at one end (strength stimulus) and high volume (HIEE stimulus) at the other. Furthermore, some evidence also indicates that the continuum as a repetition paradigm with high-load, low repetition at one end (strength stimulus) and a high repetition, low load at the other end. The second paradigm is most apparent under three conditions: (1) ecological validity-in the real world, work is not equated, (2) use of absolute loads in testing and (3) a substantial difference in the repetitions used in training (for example 2-5 repetitions versus ≥10 repetitions). Additionally, adherence to the principles and criteria of dynamic correspondence allows for greater "transfer of training" to performance measures. Typically, and logically, in order to optimize transfer, training athletes requires a reasonable development of capacities (i.e., structure, metabolism, neural aspects, etc.) before more specific training takes place.
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15
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Warneke K, Brinkmann A, Hillebrecht M, Schiemann S. Influence of Long-Lasting Static Stretching on Maximal Strength, Muscle Thickness and Flexibility. Front Physiol 2022; 13:878955. [PMID: 35694390 PMCID: PMC9174468 DOI: 10.3389/fphys.2022.878955] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/28/2022] [Indexed: 12/02/2022] Open
Abstract
Background: In animal studies long-term stretching interventions up to several hours per day have shown large increases in muscle mass as well as maximal strength. The aim of this study was to investigate the effects of a long-term stretching on maximal strength, muscle cross sectional area (MCSA) and range of motion (ROM) in humans. Methods: 52 subjects were divided into an Intervention group (IG, n = 27) and a control group (CG, n = 25). IG stretched the plantar flexors for one hour per day for six weeks using an orthosis. Stretching was performed on one leg only to investigate the contralateral force transfer. Maximal isometric strength (MIS) and 1RM were both measured in extended knee joint. Furthermore, we investigated the MCSA of IG in the lateral head of the gastrocnemius (LG) using sonography. Additionally, ROM in the upper ankle was investigated via the functional “knee to wall stretch” test (KtW) and a goniometer device on the orthosis. A two-way ANOVA was performed in data analysis, using the Scheffé Test as post-hoc test. Results: There were high time-effects (p = 0.003, ƞ² = 0.090) and high interaction-effect (p < 0.001, ƞ²=0.387) for MIS and also high time-effects (p < 0.001, ƞ²=0.193) and interaction-effects (p < 0.001, ƞ²=0,362) for 1RM testing. Furthermore, we measured a significant increase of 15.2% in MCSA of LG with high time-effect (p < 0.001, ƞ²=0.545) and high interaction-effect (p=0.015, ƞ²=0.406). In ROM we found in both tests significant increases up to 27.3% with moderate time-effect (p < 0.001, ƞ²=0.129) and high interaction-effect (p < 0.001, ƞ²=0.199). Additionally, we measured significant contralateral force transfers in maximal strength tests of 11.4% (p < 0.001) in 1RM test and 1.4% (p=0.462) in MIS test. Overall, there we no significant effects in control situations for any parameter (CG and non-intervened leg of IG). Discussion: We hypothesize stretching-induced muscle damage comparable to effects of mechanical load of strength training, that led to hypertrophy and thus to an increase in maximal strength. Increases in ROM could be attributed to longitudinal hypertrophy effects, e.g., increase in serial sarcomeres. Measured cross-education effects could be explained by central neural adaptations due to stimulation of the stretched muscles.
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Affiliation(s)
- Konstantin Warneke
- Department for Exercise, Sport and Health, Leuphana University, Lüneburg, Germany
- *Correspondence: Konstantin Warneke,
| | - Anna Brinkmann
- Assistive Systems and Medical Device Technology, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
- University Sports Center, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Martin Hillebrecht
- Assistive Systems and Medical Device Technology, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
- University Sports Center, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Stephan Schiemann
- Department for Exercise, Sport and Health, Leuphana University, Lüneburg, Germany
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16
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A Systematic Review of the Effects of Different Resistance Training Volumes on Muscle Hypertrophy. J Hum Kinet 2022; 81:199-210. [PMID: 35291645 PMCID: PMC8884877 DOI: 10.2478/hukin-2022-0017] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The main goal of this study was to compare responses to moderate and high training volumes aimed at inducing muscle hypertrophy. A literature search on 3 databases (Pubmed, Scopus and Chocrane Library) was conducted in January 2021. After analyzing 2083 resultant articles, studies were included if they met the following inclusion criteria: a) studies were randomized controlled trials (with the number of sets explicitly reported), b) interventions lasted at least six weeks, c) participants had a minimum of one year of resistance training experience, d) participants’ age ranged from 18 to 35 years, e) studies reported direct measurements of muscle thickness and/or the cross-sectional area, and f) studies were published in peer-review journals. Seven studies met the inclusion criteria and were included in the qualitative analysis, whereas just six were included in the quantitative analysis. All participants were divided into three groups: “low” (<12 weekly sets), “moderate” (12-20 weekly sets) and “high” volume (>20 weekly sets). According to the results of this meta-analysis, there were no differences between moderate and high training volume responses for the quadriceps (p = 0.19) and the biceps brachii (p = 0.59). However, it appears that a high training volume is better to induce muscle mass gains in the triceps brachii (p = 0.01). According to the results of this review, a range of 12-20 weekly sets per muscle group may be an optimum standard recommendation for increasing muscle hypertrophy in young, trained men.
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17
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Naimo MA, Varanoske AN, Hughes JM, Pasiakos SM. Skeletal Muscle Quality: A Biomarker for Assessing Physical Performance Capabilities in Young Populations. Front Physiol 2021; 12:706699. [PMID: 34421645 PMCID: PMC8376973 DOI: 10.3389/fphys.2021.706699] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 07/09/2021] [Indexed: 12/28/2022] Open
Abstract
Muscle quality (MQ), defined as the amount of strength and/or power per unit of muscle mass, is a novel index of functional capacity that is increasingly relied upon as a critical biomarker of muscle health in low functioning aging and pathophysiological adult populations. Understanding the phenotypical attributes of MQ and how to use it as an assessment tool to explore the efficacy of resistance exercise training interventions that prioritize functional enhancement over increases in muscle size may have implications for populations beyond compromised adults, including healthy young adults who routinely perform physically demanding tasks for competitive or occupational purposes. However, MQ has received far less attention in healthy young populations than it has in compromised adults. Researchers and practitioners continue to rely upon static measures of lean mass or isolated measures of strength and power, rather than using MQ, to assess integrated functional responses to resistance exercise training and physical stress. Therefore, this review will critically examine MQ and the evidence base to establish this metric as a practical and important biomarker for functional capacity and performance in healthy, young populations. Interventions that enhance MQ, such as high-intensity stretch shortening contraction resistance exercise training, will be highlighted. Finally, we will explore the potential to leverage MQ as a practical assessment tool to evaluate function and enhance performance in young populations in non-traditional research settings.
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Affiliation(s)
- Marshall A Naimo
- Military Performance Division, United States Army Research Institute of Environmental Medicine, Natick, MA, United States
| | - Alyssa N Varanoske
- Military Nutrition Division, United States Army Research Institute of Environmental Medicine, Natick, MA, United States.,Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States
| | - Julie M Hughes
- Military Performance Division, United States Army Research Institute of Environmental Medicine, Natick, MA, United States
| | - Stefan M Pasiakos
- Military Nutrition Division, United States Army Research Institute of Environmental Medicine, Natick, MA, United States
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18
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Nunes JP, Kassiano W, Costa BDV, Mayhew JL, Ribeiro AS, Cyrino ES. Equating Resistance-Training Volume Between Programs Focused on Muscle Hypertrophy. Sports Med 2021; 51:1171-1178. [PMID: 33826122 DOI: 10.1007/s40279-021-01449-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2021] [Indexed: 02/07/2023]
Abstract
Calculating resistance-training volume in programs focused on muscle hypertrophy is an attempt to quantify the external workload carried out, then to estimate the dose of stimulus imposed on targeted muscles. The volume is usually expressed in some variables that directly affected the total training work, such as the number of sets, repetitions, and volume-load. These variables are used to try to quantify the training work easily, for the subsequent organization and prescription of training programs. One of the main uses of measures of volume quantification is seen in studies in which the purpose is to compare the effects of different training protocols on muscle growth in a volume-equated format. However, it seems that not all measures of volume are always appropriate for equating training protocols. In the current paper, it is discussed what training volume is and the potentials and shortcomings of each one of the most common ways to equate it between groups depending on the independent variable to be compared (e.g., weekly frequency, intensity of load, and advanced techniques).
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Affiliation(s)
- João Pedro Nunes
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, Londrina State University, Londrina, Brazil.
| | - Witalo Kassiano
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, Londrina State University, Londrina, Brazil
| | - Bruna D V Costa
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, Londrina State University, Londrina, Brazil
| | - Jerry L Mayhew
- Exercise Science Program, Truman State University, Kirksville, USA
| | - Alex S Ribeiro
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, Londrina State University, Londrina, Brazil.,Center for Research in Health Sciences, University of Northern Paraná, Londrina, Brazil
| | - Edilson S Cyrino
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, Londrina State University, Londrina, Brazil
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19
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Santos Junior ERT, de Salles BF, Dias I, Ribeiro AS, Simão R, Willardson JM. Classification and Determination Model of Resistance Training Status. Strength Cond J 2021. [DOI: 10.1519/ssc.0000000000000627] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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20
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Pearson J, Wadhi T, Barakat C, Aube D, Schoenfeld BJ, Andersen JC, Barroso R, Ugrinowitsch C, De Souza EO. Does Varying Repetition Tempo in a Single-Joint Lower Body Exercise Augment Muscle Size and Strength in Resistance-Trained Men? J Strength Cond Res 2021; 36:2162-2168. [PMID: 34351728 DOI: 10.1519/jsc.0000000000003953] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Pearson, J, Wadhi, T, Barakat, C, Aube, D, Schoenfeld, BJ, Andersen, JC, Barroso, R, Ugrinowitsch, C, and De Souza, EO. Does varying repetition tempo in a single-joint lower body exercise augment muscle size and strength in resistance-trained men? J Strength Cond Res XX(X): 000-000, 2021-This study compared the effects of FAST and SLOW eccentric repetition tempo in a single exercise volume-matched intervention on muscle thickness (MT) and strength in resistance-trained men. Using a within-subject design, 13 subjects had each leg randomly assigned to SLOW (1-0-3) or FAST (1-0-1) repetition tempo. Subjects underwent an 8-week strength-training (ST) intervention performed twice weekly. Unilateral leg-extension one repetition-maximum (1RM) and anterior thigh MT at the proximal (MTP) and distal (MTD) portions were assessed via ultrasound imaging at baseline and after 8 weeks of RT. Rating of perceived exertion (RPE) assessments of the training sessions (i.e., 16 per leg) were averaged for further analysis. Both legs similarly increased MTP (estimated differences: FAST: 0.24 cm, 3.6%; SLOW: 0.20 cm, 3.1%). However, for MTD, analysis of covariance analysis showed a leg effect (p = 0.02) in which absolute pre-to-post change was greater in FAST compared with SLOW (estimated differences: FAST 0.23 cm, 5.5%; SLOW: 0.13 cm, 2.2%). For 1RM, both legs similarly increased maximum strength (estimated differences: FAST: 9.1 kg, 17.0%; SLOW: 10.4 kg, 22.1%, p <= 0.0001). The SLOW group had a higher RPE than FAST (8.59 vs. 7.98, p = 0.002). Despite differences in RPE, our results indicate that both repetition tempos produced similar muscular adaptations. However, they also suggest that the FAST tempo may provide a small hypertrophic advantage at the distal quadriceps. From a practical standpoint, strength and conditioning professionals may implement a FAST tempo at least in one single-joint exercise during an 8-week training period to enhance regional hypertrophic adaptations in trained individuals.
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Affiliation(s)
- Jeremy Pearson
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, Florida
| | - Tanuj Wadhi
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, Florida
| | - Christopher Barakat
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, Florida
| | - Daniel Aube
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, Florida
| | | | - Jody C Andersen
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, Florida
| | - Renato Barroso
- School of Physical Education, University of Campinas, Campinas, Brazil
| | - Carlos Ugrinowitsch
- Laboratory of Adaptations to Strength Training, School of Physical Education and Sport, University of Sao Paulo, SP, Brazil
| | - Eduardo O De Souza
- Department of Health Sciences and Human Performance, The University of Tampa, Tampa, Florida
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