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Borfe L, Reuter CP, Bandeira PFR, Martins C, Brand C, Gaya AR. WEB OF TRANSFORMATIONS: impact of multicomponent intervention on the relationship between sociodemographic indicators, changes in body composition, cardiorespiratory fitness and biochemical markers in adolescents with overweight and obesity. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-10. [PMID: 38626243 DOI: 10.1080/09603123.2024.2341131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 04/04/2024] [Indexed: 04/18/2024]
Abstract
The study aims to analyze the relationships between changes after multicomponent intervention in sociodemographic indicators, body composition, cardiorespiratory fitness and biochemical markers in overweight/obese adolescents. Quasi-experimental study with 33 overweight/obese adolescents (17 in the intervention group (IG) and 16 in the control group (16)), in which the GI participated in the multicomponent intervention for 24 weeks. Sociodemographic indicators, body composition, cardiorespiratory fitness and biochemical markers were evaluated. Network analysis was performed using JASP software. In GI, the reduction in %BF proved to be the variable with greater connectivity and strength in the network compared to the control network. Changes in %BF were related to changes in ACR, BMI and leptin. It is concluded that the reduction in %BF is the most important variable in network relationships after the intervention, suggesting that the greater the reduction in %BF, the greater the effect on variables such as BMI, ACR and leptina.
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Affiliation(s)
- Leticia Borfe
- Human Movement Science, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Cézane Priscila Reuter
- Department of Health Sciences and the Postgraduate Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, Brazil
| | | | - Clarice Martins
- Physical Activity and Health, Faculty of Sports - University of Porto, Porto, Portugal
| | - Caroline Brand
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Anelise Reis Gaya
- School of Physical Education and the Postgraduate Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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2
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Schmidt J, Ferrauti A, Kellmann M, Beaudouin F, Pfeiffer M, Volk NR, Wambach JM, Bruder O, Wiewelhove T. Recovery From Eccentric Squat Exercise in Resistance-Trained Young and Master Athletes With Similar Maximum Strength: Combining Cold Water Immersion and Compression. Front Physiol 2021; 12:665204. [PMID: 34566669 PMCID: PMC8461049 DOI: 10.3389/fphys.2021.665204] [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: 02/07/2021] [Accepted: 08/06/2021] [Indexed: 11/17/2022] Open
Abstract
The aim of this study was to investigate whether recovery from eccentric squat exercise varies depending on age and to assess whether the use of a mixed-method recovery (MMR) consisting of cold water immersion and compression tights benefits recovery. Sixteen healthy and resistance-trained young (age, 22.1±2.1years; N=8) and master male athletes (age, 52.4±3.5years; N=8), who had a similar half squat 1-repetition maximum relative to body weight, completed two identical squat exercise training sessions, separated by a 2-week washout period. Training sessions were followed by either MMR or passive recovery (PR). Internal training loads [heart rate and blood lactate concentration (BLa)] were recorded during and after squat sessions. Furthermore, maximal voluntary isometric contraction (MVIC) force, countermovement jump (CMJ) height, resting twitch force of the knee extensors, serum concentration of creatine kinase (CK), muscle soreness (MS), and perceived physical performance capability (PPC) were determined before and after training as well as after 24, 48, and 72h of recovery. A three-way mixed ANOVA revealed a significant time effect of the squat protocol on markers of fatigue and recovery (p<0.05; decreased MVIC, CMJ, twitch force, and PPC; increased CK and MS). Age-related differences were found for BLa, MS, and PPC (higher post-exercise fatigue in younger athletes). A significant two-way interaction between recovery strategy and time of measurement was found for MS and PPC (p<0.05; faster recovery after MMR). In three participants (two young and one master athlete), the individual results revealed a consistently positive response to MMR. In conclusion, master athletes neither reach higher fatigue levels nor recover more slowly than the younger athletes. Furthermore, the results indicate that MMR after resistance exercise does not contribute to a faster recovery of physical performance, neuromuscular function, or muscle damage, but promotes recovery of perceptual measures regardless of age.
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Affiliation(s)
- Julian Schmidt
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany
| | | | - Michael Kellmann
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany.,School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Florian Beaudouin
- Institue of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Mark Pfeiffer
- Institute of Sports Science, Johannes-Gutenberg University, Mainz, Germany
| | | | - Jan Martin Wambach
- Faculty of Medicine, Ruhr University Bochum, Bochum, Germany.,Contilia Heart and Vascular Center, Elisabeth-Hospital, Essen, Germany
| | - Oliver Bruder
- Faculty of Medicine, Ruhr University Bochum, Bochum, Germany.,Contilia Heart and Vascular Center, Elisabeth-Hospital, Essen, Germany
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Herold F, Törpel A, Hamacher D, Budde H, Zou L, Strobach T, Müller NG, Gronwald T. Causes and Consequences of Interindividual Response Variability: A Call to Apply a More Rigorous Research Design in Acute Exercise-Cognition Studies. Front Physiol 2021; 12:682891. [PMID: 34366881 PMCID: PMC8339555 DOI: 10.3389/fphys.2021.682891] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 06/21/2021] [Indexed: 12/19/2022] Open
Abstract
The different responses of humans to an apparently equivalent stimulus are called interindividual response variability. This phenomenon has gained more and more attention in research in recent years. The research field of exercise-cognition has also taken up this topic, as shown by a growing number of studies published in the past decade. In this perspective article, we aim to prompt the progress of this research field by (i) discussing the causes and consequences of interindividual variability, (ii) critically examining published studies that have investigated interindividual variability of neurocognitive outcome parameters in response to acute physical exercises, and (iii) providing recommendations for future studies, based on our critical examination. The provided recommendations, which advocate for a more rigorous study design, are intended to help researchers in the field to design studies allowing them to draw robust conclusions. This, in turn, is very likely to foster the development of this research field and the practical application of the findings.
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Affiliation(s)
- Fabian Herold
- Department of Neurology, Medical Faculty, Otto von Guericke University, Magdeburg, Germany.,Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | | | - Dennis Hamacher
- Department of Sport Science, German University for Health and Sports (DHGS), Berlin, Germany
| | - Henning Budde
- Faculty of Human Sciences, MSH Medical School Hamburg, Hamburg, Germany
| | - Liye Zou
- Exercise and Mental Health Laboratory, Institute of KEEP Collaborative Innovation, School of Psychology, Shenzhen University, Shenzhen, China
| | - Tilo Strobach
- Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany
| | - Notger G Müller
- Department of Neurology, Medical Faculty, Otto von Guericke University, Magdeburg, Germany.,Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Thomas Gronwald
- Department of Performance, Neuroscience, Therapy and Health, Faculty of Health Sciences, MSH Medical School Hamburg, Hamburg, Germany
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Borfe L, Brand C, Schneiders LDB, Mota J, Cavaglieri CR, Leite N, Renner JDP, Reuter CP, Gaya AR. Effects and Responsiveness of a Multicomponent Intervention on Body Composition, Physical Fitness, and Leptin in Overweight/Obese Adolescents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18147267. [PMID: 34299719 PMCID: PMC8305247 DOI: 10.3390/ijerph18147267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/02/2021] [Accepted: 07/05/2021] [Indexed: 11/29/2022]
Abstract
Physical exercise reduces the biochemical markers of obesity, but the effects of multicomponent interventions on these markers should be explored. The present study aimed to elucidate how overweight/obese adolescents respond to a multicomponent program approach on body composition, physical fitness, and inflammatory markers, using a quasi-experimental study with 33 overweight/obesity adolescents (control group (CG) = 16; intervention group (IG) = 17). The intervention consisted of 24 weeks with physical exercises and nutritional and psychological guidance. Both groups were evaluated at the pre/post-intervention moments on body mass index (BMI); body fat (%Fat); waist circumference (WC); waist/hip ratio (WHR); waist-to-height ratio (WHtR), cardiorespiratory fitness (CRF); abdominal strength, flexibility; leptin; interleukin 6; interleukin 10; and tumor necrosis factor-alpha. Mixed-analysis of variance and generalized estimation equations were used for statistical analysis. There was an interaction effect between groups and time on %Fat (p = 0.002), WC (p = 0.023), WHR (p < 0.001), WHtR (p = 0.035), CRF (p = 0.050), and leptin (p = 0.026). Adolescents were classified as 82.4% responders for %Fat, 70.6% for WC, 88.2% for WHR, and 70.6% for CRF. Further, there was an association between changes in %Fat (p = 0.033), WC (p = 0.032), and WHR (p = 0.033) between responders and non-responders with CRF in the IG. There was a positive effect on body composition, physical fitness, and leptin. In addition, reductions in body composition parameters were explained by CRF improvements.
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Affiliation(s)
- Leticia Borfe
- Graduate Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre 90690-200, Brazil;
| | - Caroline Brand
- Graduate Program on Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul 96816-501, Brazil; (C.B.); (L.d.B.S.)
| | - Letícia de Borba Schneiders
- Graduate Program on Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul 96816-501, Brazil; (C.B.); (L.d.B.S.)
| | - Jorge Mota
- Research Center in Physical Activity, Health and Leisure, Faculty of Sports, University of Porto, 4200-450 Porto, Portugal;
| | - Claudia Regina Cavaglieri
- Department of Adapted Physical Activity Studies, University State Campinas, Campinas 13083-851, Brazil;
| | - Neiva Leite
- Department of Physical Education, University of Paraná, Curitiba 81690-100, Brazil;
| | - Jane Dagmar Pollo Renner
- Department of Life Sciences and Graduate Program on Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul 96816-501, Brazil;
| | - Cézane Priscila Reuter
- Department of Health Sciences and Graduate Program on Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul 96816-501, Brazil;
| | - Anelise Reis Gaya
- Graduate Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre 90690-200, Brazil;
- Graduate Program in Human Movement Sciences, School of Physical Education, Federal University of Rio Grande do Sul, Porto Alegre 90690-200, Brazil
- Correspondence:
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5
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Williams CJ, Li Z, Harvey N, Lea RA, Gurd BJ, Bonafiglia JT, Papadimitriou I, Jacques M, Croci I, Stensvold D, Wisloff U, Taylor JL, Gajanand T, Cox ER, Ramos JS, Fassett RG, Little JP, Francois ME, Hearon CM, Sarma S, Janssen SLJE, Van Craenenbroeck EM, Beckers P, Cornelissen VA, Howden EJ, Keating SE, Yan X, Bishop DJ, Bye A, Haupt LM, Griffiths LR, Ashton KJ, Brown MA, Torquati L, Eynon N, Coombes JS. Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study. J Biomed Sci 2021; 28:37. [PMID: 33985508 PMCID: PMC8117553 DOI: 10.1186/s12929-021-00733-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Low cardiorespiratory fitness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. METHODS Participant change in objectively measured V̇O2peak from 18 different interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n = 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms (SNPs) significantly associated (P < 1 × 10-5) with the magnitude of V̇O2peak response. Findings were tested in an independent validation study (n = 39) and compared to previous research. RESULTS No variants at the genome-wide significance level were found after adjusting for key covariates (baseline V̇O2peak, individual study, principal components which were significantly associated with the trait). A Quantile-Quantile plot indicates there was minor inflation in the study. Twelve novel loci showed a trend of association with V̇O2peak response that reached suggestive significance (P < 1 × 10-5). The strongest association was found near the membrane associated guanylate kinase, WW and PDZ domain containing 2 (MAGI2) gene (rs6959961, P = 2.61 × 10-7). A PPS created from the 12 lead SNPs was unable to predict V̇O2peak response in a tenfold cross validation, or in an independent (n = 39) validation study (P > 0.1). Significant correlations were found for beta coefficients of variants in the Predict-HIIT (P < 1 × 10-4) and the validation study (P < × 10-6), indicating that general effects of the loci exist, and that with a higher statistical power, more significant genetic associations may become apparent. CONCLUSIONS Ongoing research and validation of current and previous findings is needed to determine if genetics does play a large role in V̇O2peak response variance, and whether genomic predictors for V̇O2peak response trainability can inform evidence-based clinical practice. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR), Trial Id: ACTRN12618000501246, Date Registered: 06/04/2018, http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374601&isReview=true .
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Affiliation(s)
- Camilla J Williams
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Zhixiu Li
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Woolloongabba, Brisbane, QLD, Australia
| | - Nicholas Harvey
- Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia.,Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Rodney A Lea
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Jacob T Bonafiglia
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Ioannis Papadimitriou
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Macsue Jacques
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Ilaria Croci
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.,Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Sport, Movement and Health, University of Basel, Basel, Switzerland
| | - Dorthe Stensvold
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ulrik Wisloff
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.,Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jenna L Taylor
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Trishan Gajanand
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Emily R Cox
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Joyce S Ramos
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.,Caring Futures Institute, SHAPE Research Centre, Exercise Science and Clinical Exercise Physiology, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | - Robert G Fassett
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Jonathan P Little
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Monique E Francois
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, BC, Canada
| | - Christopher M Hearon
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Satyam Sarma
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sylvan L J E Janssen
- Internal Medicine, Institute for Exercise and Environmental Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Physiology, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Paul Beckers
- Department of Cardiology, Antwerp University Hospital, Antwerp, Belgium
| | - Véronique A Cornelissen
- Department of Rehabilitation Sciences - Research Group for Rehabilitation in Internal Disorders, Catholic University of Leuven, Leuven, Belgium
| | - Erin J Howden
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Shelley E Keating
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia
| | - Xu Yan
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.,Australia Institute for Musculoskeletal Sciences (AIMSS), Melbourne, VIC, Australia
| | - David J Bishop
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia.,School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Anja Bye
- Cardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Cardiology, St. Olavs Hospital, Trondheim, Norway
| | - Larisa M Haupt
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Lyn R Griffiths
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, Brisbane, QLD, Australia
| | - Kevin J Ashton
- Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia
| | - Matthew A Brown
- Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Luciana Torquati
- Department of Sport and Health Sciences, University of Exeter, Exeter, UK
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Melbourne, VIC, Australia
| | - Jeff S Coombes
- Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Brisbane, QLD, Australia.
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Responsiveness to muscle mass gain following 12 and 24 weeks of resistance training in older women. Aging Clin Exp Res 2021; 33:1071-1078. [PMID: 32447738 DOI: 10.1007/s40520-020-01587-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 04/30/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Many factors may influence the magnitude of individual responses to resistance training (RT). How the manipulation of training volume and frequency affects responsiveness level for muscle mass gain in older women has not been investigated. AIMS This study had the objective of identifying responders (RP) and non-responders (N-RP) older women for skeletal muscle mass (SMM) gain from a 12-week resistance training (RT) program. Additionally, we analyzed whether the N-RP could gain SMM with an increase in weekly training volume over 12 additional weeks of training. METHODS Thirty-nine older women (aged ≥ 60 years) completed 24 weeks of a whole-body RT intervention (eight exercises, 2-3×/week, 1-2 sets of 10-15 repetitions). SMM was estimated by DXA, and the responsive cut-off value was set at two times the standard error of measurement. Participants were considered as RP if they exceeded the cut-off value after a 12-week RT phase, while the N-RP were those who failed to reach the SMM cut-off. RESULTS Of the 22 participants considered to be N-RP, only 3 accumulated SMM gains (P = 0.250) that exceeded the cut-off point for responsiveness following 12 additional weeks of training, while 19 maintained or presented negative SMM changes. Of the 17 participants considered to be RP, all continued to gain SMM after the second 12-week RT phase. No significant correlation was observed between the changes in SMM and any baseline aspect of the participants. CONCLUSIONS Our results suggest that some older women are RP, while others are N-RP to SMM gains resulting from RT. Furthermore, the non-responsiveness condition was not altered by an increase of training volume and intervention duration while RP participants continue to increase SMM; it appears that RP continue to be RP, and N-RP continue to be N-RP.
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7
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Jukic I, Calleja-González J, Cuzzolin F, Sampaio J, Cos F, Milanovic L, Krakan I, Ostojic S, Olmo J, Requena B, Njaradi N, Sassi R, Rovira M, Kocaoglu B. The 360° Performance System in Team Sports: Is It Time to Design a "Personalized Jacket" for Team Sports Players? Sports (Basel) 2021; 9:sports9030040. [PMID: 33802654 PMCID: PMC8002432 DOI: 10.3390/sports9030040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/11/2021] [Accepted: 03/12/2021] [Indexed: 11/21/2022] Open
Abstract
Elite performance in team sports attracts the attention of the general public. In particular, the best players became incredibly skilled and physically powerful, which is a fact that potentiates the delivery of a product that is considered attractive, exciting, and competitive. Not surprisingly, this is a very valuable product from an economic and social standpoint; thus, all sports professionals are extremely interested in developing new procedures to improve their sports performance. Furthermore, the great interests of the various stakeholders (owners, chief executive officers (CEOs), agents, fans, media, coaches, players, families, and friends) are one of the main reasons for this development under the sports science umbrella and the accompanying sports industry. All their personal performances should be coordinated and put into practice by the sports team. In this scientific and applied study, we primarily dealt with the individual treatment of players in order to improve their personal performance and, consequently, the team’s sporting performance.
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Affiliation(s)
- Igor Jukic
- Faculty of Kinesiology, University of Zagreb, 10110 Zagreb, Croatia; (I.J.); (L.M.); (I.K.)
- Biotrening Ltd., 10000 Zagreb, Croatia
| | - Julio Calleja-González
- Faculty of Kinesiology, University of Zagreb, 10110 Zagreb, Croatia; (I.J.); (L.M.); (I.K.)
- Faculty of Education and Sport, University of Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain
- Correspondence:
| | | | - Jaime Sampaio
- Research Centre in Sports Sciences, Health Sciences and Human Development, CIDESD, 5001-801 Vila Real, Portugal;
| | - Francesc Cos
- National Institute of Physical Education (INEFC), University of Barcelona, 08038 Barcelona, Spain;
- Manchester City Football Club, Manchester M11 4TS, UK
| | - Luka Milanovic
- Faculty of Kinesiology, University of Zagreb, 10110 Zagreb, Croatia; (I.J.); (L.M.); (I.K.)
- Biotrening Ltd., 10000 Zagreb, Croatia
| | - Ivan Krakan
- Faculty of Kinesiology, University of Zagreb, 10110 Zagreb, Croatia; (I.J.); (L.M.); (I.K.)
- Biotrening Ltd., 10000 Zagreb, Croatia
| | - Sergej Ostojic
- Faculty of Physical Education and Sport, University of Novi Sad, 21000 Novi Sad, Serbia;
- Center for Health, Exercise and Sport Sciences, 11000 Belgrade, Serbia
| | - Jesús Olmo
- Football Science Institute, 18016 Granada, Spain; (J.O.); (B.R.)
| | - Bernardo Requena
- Football Science Institute, 18016 Granada, Spain; (J.O.); (B.R.)
| | - Nenad Njaradi
- Football Club Deportivo Alavés, 01007 Vitoria-Gasteiz, Spain;
| | | | - Mar Rovira
- Tecnocampus, Universitat Pompeu Fabra, Grup de recerca en Activitat Física, Rendiment i Salut (AFIRS), Av. d’Ernest Lluch, 32, 08302 Mataró, Spain;
| | - Baris Kocaoglu
- Faculty of Medicine, Acibadem University, Küçükbakkalköy, Kayışdağı Cd., 34755 Ataşehir/İstanbul, Turkey;
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Repeatability of the Individual Response to the Use of Active Recovery the Day After High-Intensity Interval Training: A Double-Crossover Trial. Int J Sports Physiol Perform 2021; 16:1160–1168. [PMID: 33607623 DOI: 10.1123/ijspp.2020-0671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/03/2020] [Accepted: 09/06/2020] [Indexed: 11/18/2022]
Abstract
PURPOSE To identify whether the use of active recovery (ACT) the day after high-intensity interval training (HIIT) benefits recovery and to assess whether individual responses to ACT are repeatable. METHODS Eleven well-trained, male intermittent-sport athletes (age: 25.5 ± 1.8 y) completed 4 HIIT sessions, each separated by a 2-week washout period. Of the 4 sessions, 2 were followed by passive recovery (PAS) and 2 by 60 minutes of moderate biking (ACT) 24 hours postexercise in the following sequences: ACT→PAS→ACT→PAS or PAS→ACT→PAS→ACT. Before and after HIIT and after 24 and 48 hours of recovery, maximal voluntary isometric strength (MVIC), countermovement jump height (CMJ), tensiomyographic markers of muscle fatigue (TMG), serum concentration of creatine kinase (CK), muscle soreness (MS), and perceived stress state (PS) were determined. RESULTS A 3-way repeated-measure analysis of variance with a triple-nested random effects model revealed a significant (P < .05) fatigue-related time effect of HIIT on markers of fatigue (MVIC↓; CMJ↓; TMG↑; CK↑; MS↑; PS↑). No significant (P > .05) main effect of recovery strategy was detected. In 9 subjects, the individual results revealed inconsistent and nonrepeatable responses to ACT, while a consistent and repeatable positive or negative response to ACT was found in 2 individuals. CONCLUSIONS The repeated failure of ACT to limit the severity of fatigue was found both at the group level and with most individuals. However, a small percentage of athletes may be more likely to benefit repeatedly from either ACT or PAS. Therefore, the use of ACT should be individualized.
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Drozdova-Statkevičienė M, Česnaitienė VJ, Levin O, Pauwels L, Pukėnas K, Helsen WF, Staes F, Masiulis N. The beneficial effects of acute strength training on sway activity and sway regularity in healthy older men: Evidence from a posturography study. Neurosci Lett 2021; 749:135718. [PMID: 33600901 DOI: 10.1016/j.neulet.2021.135718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 01/22/2021] [Accepted: 02/04/2021] [Indexed: 11/25/2022]
Abstract
The effects of acute strength training on balance control were studied in healthy older human men (age-range 60-77y). Participants performed the Tandem Romberg Stance while completing an attention demanding cognitive task (Mathematical Counting) before and after a single acute strength training session applied to the lower limb musculature (experimental group; n = 19) or no intervention (control group; n = 18). Balance stability and the automaticity of balance control were estimated through the calculation of the center-of-pressure (CoP) velocity (Vcop) and the statistical regularity (wavelet entropy) of the CoP trajectory (WEcop), respectively. Training included 3 sets of 3 repetitions of barbell squats using Smith Machine, ranging from 90 % of one repetition maximum (1RM) to 100 % 1RM with 3 min rest between repetitions and 5 min rest between sets. Vcop and WEcop decreased after training (all time main effects, p ≤ 0.028) but group time interactions were not significant (all, p ≥ 0.056). Exploratory analyses revealed that participants in the experimental group showed a significant decrease of Vcop and WEcop in the mediolateral (ML) directions from pre to post [ML Vcop: 15.4 %; Bonferroni-corrected p = 0.048); ML WEcop: 10.5 %; Bonferroni-corrected p = 0.016]. A trend towards a decrease in Vcop and WEcop was also observed in controls, with more prominent gains in the anteroposterior than in the ML direction (Bonferroni-corrected p > 0.2). Overall, findings suggest that acute strength training may improve attentional control of balance along the narrow dimension of the support. Further studies are warranted to examine the specific mechanisms underlying these findings.
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Affiliation(s)
| | | | - Oron Levin
- Lithuanian Sports University, Kaunas, LT-44221, Lithuania; KU Leuven, Department of Movement Sciences, Movement Control & Neuroplasticity Research Group, B-3001, Heverlee, Belgium
| | - Lisa Pauwels
- KU Leuven, Department of Movement Sciences, Movement Control & Neuroplasticity Research Group, B-3001, Heverlee, Belgium
| | | | - Werner F Helsen
- KU Leuven, Department of Movement Sciences, Movement Control & Neuroplasticity Research Group, B-3001, Heverlee, Belgium
| | - Filip Staes
- KU Leuven, Department of Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Group, B-3001, Heverlee, Belgium
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Abstract
It is well established that exercise is an important component in the maintenance of good health, and yet recent studies have demonstrated that a sub-section of individuals experience no significant improvements following an exercise training intervention. Such individuals are commonly termed “non-responders”. However, recently a number of researchers have taken a skeptical view as to whether exercise non-response either exists, or is clinically relevant. Here, we explore the research underpinning exercise response, to determine whether non-response to exercise actually exists. We discuss the impact of measurement error and assessment type on the identification of “non-responders”, and whether such non-response is global- or modality-specific. Additionally, we discuss whether, if non-response to an exercise intervention is meaningful and relevant, certain additional interventions—in the form of increasing exercise intensity, volume, or duration—could be made in order to enhance training adaptations. Consequently, based on our interpretations of the available evidence, we suggest that it is unlikely that global non-responders to exercise exist. Furthermore, we suggest this realization effectively counters the perception that some individuals will not positively respond to exercise, and that in turn, this insight serves to encourage health professionals to create more nuanced, efficacious, and individually-focused exercise prescriptions designed to circumvent and overcome apparent non-responsiveness. Adopting a more individually-adaptive approach to exercise prescription could, subsequently, prove a powerful tool in promoting population health.
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Affiliation(s)
- Craig Pickering
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Fylde Road, Preston, PR1 2HE, UK. .,Exercise and Nutritional Genomics Research Centre, DNAFit Ltd, London, UK.
| | - John Kiely
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Fylde Road, Preston, PR1 2HE, UK
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Herold F, Müller P, Gronwald T, Müller NG. Dose-Response Matters! - A Perspective on the Exercise Prescription in Exercise-Cognition Research. Front Psychol 2019; 10:2338. [PMID: 31736815 PMCID: PMC6839278 DOI: 10.3389/fpsyg.2019.02338] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 10/01/2019] [Indexed: 01/03/2023] Open
Abstract
In general, it is well recognized that both acute physical exercises and regular physical training influence brain plasticity and cognitive functions positively. However, growing evidence shows that the same physical exercises induce very heterogeneous outcomes across individuals. In an attempt to better understand this interindividual heterogeneity in response to acute and regular physical exercising, most research, so far, has focused on non-modifiable factors such as sex and different genotypes, while relatively little attention has been paid to exercise prescription as a modifiable factor. With an adapted exercise prescription, dosage can be made comparable across individuals, a procedure that is necessary to better understand the dose-response relationship in exercise-cognition research. This improved understanding of dose-response relationships could help to design more efficient physical training approaches against, for instance, cognitive decline.
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Affiliation(s)
- Fabian Herold
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Patrick Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Department of Neurology, Medical Faculty, Otto von Guericke University, Magdeburg, Germany
| | - Thomas Gronwald
- Department Performance, Neuroscience, Therapy and Health, Medical School Hamburg, University of Applied Sciences and Medical University, Hamburg, Germany
| | - Notger G. Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Department of Neurology, Medical Faculty, Otto von Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
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Pickering C, Kiely J. Exercise Response Efficiency: A Novel Way to Enhance Population Health? Lifestyle Genom 2019; 11:129-135. [PMID: 31302657 DOI: 10.1159/000501206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/24/2019] [Indexed: 11/19/2022] Open
Abstract
The rates of obesity and its related comorbidities have increased substantially over the last 30 years, with approximately 35% of all US adults now classified as obese. Whilst the causes of obesity are both complex and multifactorial, one contributor is a reduction in leisure time physical activity, with no concurrent reduction in energy intake. Physical activity interventions have been demonstrated to promote fat loss, yet more than 50% of US adults undertake no leisure time physical activity at all, with a lack of time and enjoyment often cited as the main drivers of rising inactivity levels. Furthermore, recent evidence has demonstrated that a sub-group of individuals may experience no improvement in a given fitness or health-related measure following a specific training programme, suggesting that there may be optimal exercise types for different groups of individuals. In this paper, we introduce the concept of exercise response efficiency, whereby individuals are matched to the training type from which they are most likely to derive the greatest improvements for the least time commitment. We propose that a more precise targeting of exercise interventions is likely to drive more rapid improvements in health, thereby promoting exercise adherence and enjoyment, whilst simultaneously reducing obesity and mortality risks. Such an innovation would, we suggest, confer important public health benefits.
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Affiliation(s)
- Craig Pickering
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, United Kingdom,
| | - John Kiely
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, United Kingdom
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Herold F, Törpel A, Schega L, Müller NG. Functional and/or structural brain changes in response to resistance exercises and resistance training lead to cognitive improvements - a systematic review. Eur Rev Aging Phys Act 2019; 16:10. [PMID: 31333805 PMCID: PMC6617693 DOI: 10.1186/s11556-019-0217-2] [Citation(s) in RCA: 145] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 06/26/2019] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND During the aging process, physical capabilities (e.g., muscular strength) and cognitive functions (e.g., memory) gradually decrease. Regarding cognitive functions, substantial functional (e.g., compensatory brain activity) and structural changes (e.g., shrinking of the hippocampus) in the brain cause this decline. Notably, growing evidence points towards a relationship between cognition and measures of muscular strength and muscle mass. Based on this emerging evidence, resistance exercises and/or resistance training, which contributes to the preservation and augmentation of muscular strength and muscle mass, may trigger beneficial neurobiological processes and could be crucial for healthy aging that includes preservation of the brain and cognition. Compared with the multitude of studies that have investigated the influence of endurance exercises and/or endurance training on cognitive performance and brain structure, considerably less work has focused on the effects of resistance exercises and/or resistance training. While the available evidence regarding resistance exercise-induced changes in cognitive functions is pooled, the underlying neurobiological processes, such as functional and structural brain changes, have yet to be summarized. Hence, the purpose of this systematic review is to provide an overview of resistance exercise-induced functional and/or structural brain changes that are related to cognitive functions. METHODS AND RESULTS A systematic literature search was conducted by two independent researchers across six electronic databases; 5957 records were returned, of which 18 were considered relevant and were analyzed. SHORT CONCLUSION Based on our analyses, resistance exercises and resistance training evoked substantial functional brain changes, especially in the frontal lobe, which were accompanied by improvements in executive functions. Furthermore, resistance training led to lower white matter atrophy and smaller white matter lesion volumes. However, based on the relatively small number of studies available, the findings should be interpreted cautiously. Hence, future studies are required to investigate the underlying neurobiological mechanisms and to verify whether the positive findings can be confirmed and transferred to other needy cohorts, such as older adults with dementia, sarcopenia and/or dynapenia.
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Affiliation(s)
- Fabian Herold
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Alexander Törpel
- Institute III, Department of Sport Science, Otto von Guericke University Magdeburg, Zschokkestr. 32, 39104 Magdeburg, Germany
| | - Lutz Schega
- Institute III, Department of Sport Science, Otto von Guericke University Magdeburg, Zschokkestr. 32, 39104 Magdeburg, Germany
| | - Notger G. Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Brenneckestraße 6, 39118 Magdeburg, Germany
- Department of Neurology, Medical Faculty, Otto von Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
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The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance. J Funct Morphol Kinesiol 2019; 4:jfmk4020025. [PMID: 33467340 PMCID: PMC7739422 DOI: 10.3390/jfmk4020025] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 05/13/2019] [Accepted: 05/15/2019] [Indexed: 02/06/2023] Open
Abstract
Over the last decade, there has been considerable interest in the individualisation of athlete training, including the use of genetic information, alongside more advanced data capture and analysis techniques. Here, we explore the evidence for, and practical use of, a number of these emerging technologies, including the measurement and quantification of epigenetic changes, microbiome analysis and the use of cell-free DNA, along with data mining and machine learning. In doing so, we develop a theoretical model for the use of these technologies in an elite sport setting, allowing the coach to better answer six key questions: (1) To what training will my athlete best respond? (2) How well is my athlete adapting to training? (3) When should I change the training stimulus (i.e., has the athlete reached their adaptive ceiling for this training modality)? (4) How long will it take for a certain adaptation to occur? (5) How well is my athlete tolerating the current training load? (6) What load can my athlete handle today? Special consideration is given to whether such an individualised training framework will outperform current methods as well as the challenges in implementing this approach.
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Pickering C, Kiely J. Hamstring injury prevention: A role for genetic information? Med Hypotheses 2018; 119:58-62. [DOI: 10.1016/j.mehy.2018.07.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 06/24/2018] [Accepted: 07/11/2018] [Indexed: 01/19/2023]
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