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D'Alleva M, Giovanelli N, Graniero F, Billat VL, Fiori F, Marinoni M, Parpinel M, Lazzer S. Effects of 24-week Polarized Training vs. Threshold Training in Obese Male Adults. Int J Sports Med 2024; 45:282-291. [PMID: 37402392 DOI: 10.1055/a-2123-0851] [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: 07/06/2023]
Abstract
The combination of high volume of moderate-intensity continuous training with a low volume of high-intensity interval training improved body composition and physical capacities in individuals with obesity. However, polarized training (POL) has never been used in adult men with obesity. Thus, the purpose of this study was to investigate changes in body composition and physical capacities induced by a 24-week POL or threshold (THR) program in obese male adults. Twenty male patients (mean age 39.8±6.3 yrs; mean body mass index [BMI] 31.6±2.7 kg∙m-2) participated in this study (n: 10 POL, n: 10 THR). After 24-week, body mass (BM) and fat mass (FM) decreased by -3.20±3.10 kg (P<0.05) and -3.80±2.80 kg (P<0.05), respectively, similarly in both groups. Maximal oxygen uptake ( ̇VO2max) and ̇VO2 at respiratory compensation point (RCP) increased in the POL group (+8.5±12.2 and+9.0±17.0%, P<0.05) and in the THR group (+4.24±8.64 and+4.0±6.70%, P<0.05), as well ̇VO2 at gas exchange threshold (GET) increased similarly in both groups (+12.8±12.0%, P<0.05). POL and THR were equally effective in improving body composition and physical capacities in obese subjects. Future studies are needed to determine whether adherence to the training program can be improved by adding a running competition compared with a group without competition at the end of the training program.
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Affiliation(s)
- Mattia D'Alleva
- Deparment of Medicine, University of Udine, Udine, Italy
- School of Sport Sciences, University of Udine, Udine, Italy
| | - Nicola Giovanelli
- Deparment of Medicine, University of Udine, Udine, Italy
- School of Sport Sciences, University of Udine, Udine, Italy
| | - Francesco Graniero
- Physical Exercise Prescription Center, Azienda sanitaria universitaria Friuli Centrale, Gemona del Friuli, Italy
| | | | - Federica Fiori
- Deparment of Medicine, University of Udine, Udine, Italy
| | | | - Maria Parpinel
- Deparment of Medicine, University of Udine, Udine, Italy
| | - Stefano Lazzer
- Deparment of Medicine, University of Udine, Udine, Italy
- School of Sport Sciences, University of Udine, Udine, Italy
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Abad CCC, Crivói Carmo E, Prado DMLD, Reis V, Pereira L, Loturco I, Koehle M. Using Physiological Laboratory Tests and Neuromuscular Functions to Predict Extreme Ultratriathlon Performance. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2023; 94:1183-1191. [PMID: 36006760 DOI: 10.1080/02701367.2022.2094307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 06/18/2022] [Indexed: 06/15/2023]
Abstract
Purpose: This study aims to investigate the relationship between split disciplines and overall extreme ultra-triathlon (EUT) performance and verify the relationship among physiological and neuromuscular measurements with both fractional and total EUT performance while checking which variables could predict partial and overall EUT race time. Methods: Eleven volunteers (37 ± 6 years; 176.9 ± 6.1 cm; 77.9 ± 10.9 kg) performed two maximal graded tests (cycling and running) for physiological measurements and muscle strength/power tests to assess neuromuscular functions. Results: The correlation of swimming split times to predict overall EUT race times was lower than for cycling and running split times (r2 = 0.005; p > .05; r2 = 0.949; p < .001 and r2 = 0.925; p < .001, respectively). VO2peak obtained during running test (VO2peakrun) and VT power output assessed during cycling test (VTPO) were the highest predictors of cycling performance (r2 = 0.92; p = .017), whereas VO2peakrun and peakpower output in the cycling test (PPO) were the highest predictors of running performance (r2 = 0.94; p = .008). Conclusion: VO2peakrun and VTPO, associated to jump height assessed during countermovement jump (CMJ) test were the highest correlated variables to predict total EUT performance (r2 = 0.99; p = .007). In practical terms, coaches should include the assessment of VO2peakrun, VTPO, and CMJ to evaluate the athletes' status and monitor their performance throughout the season. Future studies should test how the improvement of these variables would affect EUT performance during official races.
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Affiliation(s)
| | | | | | - Valter Reis
- Nucleus of High Performance in Sport - NARSP
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Mathisen TF, Ackland T, Burke LM, Constantini N, Haudum J, Macnaughton LS, Meyer NL, Mountjoy M, Slater G, Sundgot-Borgen J. Best practice recommendations for body composition considerations in sport to reduce health and performance risks: a critical review, original survey and expert opinion by a subgroup of the IOC consensus on Relative Energy Deficiency in Sport (REDs). Br J Sports Med 2023; 57:1148-1158. [PMID: 37752006 DOI: 10.1136/bjsports-2023-106812] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND The assessment of body composition (BC) in sport raises concern for athlete health, especially where an overfocus on being lighter or leaner increases the risk of Relative Energy Deficiency in Sport (REDs) and disordered eating. METHODS We undertook a critical review of the effect of BC on performance (29 longitudinal, prospective or intervention studies) and explored current practice related to BC considerations via a follow-up to a 2013 internationally distributed survey. RESULTS The review found that a higher level of body fat was negatively associated with endurance performance, while a gain in muscle mass resulted in performance benefits across sports. BC did not contribute to early talent identification, and no unique cut-off to signify a performance advantage for BC was identified. BC appears to be one of an array of variables impacting performance, and its influence should not be overstated. The survey (125 practitioners, 61 sports and 26 countries) showed subtle changes in BC considerations over time, such as an increased role for sport dietitian/nutrition practitioners as BC measurers (2013: 54%, 2022: 78%); less emphasis on reporting of body fat percentage (2013: 68%, 2022: 46%) and reduced frequency of BC assessment if ≥every fourth week (2013: 18%, 2022: 5%). Respondents remained concerned about a problematic focus on BC (2013: 69%, 2022: 78%). To address these findings, we provide detailed recommendations for BC considerations, including an overview of preferable BC methodology. CONCLUSIONS The 'best practice' guidelines stress the importance of a multidisciplinary athlete health and performance team, and the treatment of BC data as confidential medical information. The guidelines provide a health focus around BC, aiming to reduce the associated burden of disordered eating, problematic low energy availability and REDs.
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Affiliation(s)
| | - Timothy Ackland
- School of Human Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Louise M Burke
- Faculty of Health Sciences, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Naama Constantini
- Sport Medicine, Shaare Zedek Medical Center, Hebrew University, Jerusalem, Israel
| | - Judith Haudum
- Department of Sport and Exercise Science, University of Salzburg, Hallein-Rif, Salzburg, Austria
| | | | - Nanna L Meyer
- Department of Human Physiology and Nutrition, University of Colorado Colorado Springs, Colorado Springs, Colorado, USA
| | - Margo Mountjoy
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
- REDs Consensus Writing Group, International Olympic Committee, Lausanne, Switzerland
| | - Gary Slater
- School of Health, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
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Chiang TL, Chen C, Lin YC, Chan SH, Wu HJ. Effect of Polarized Training on Cardiorespiratory Fitness of Untrained Healthy Young Adults: A Randomized Control Trial with Equal Training Impulse. J Sports Sci Med 2023; 22:263-272. [PMID: 37293419 PMCID: PMC10244991 DOI: 10.52082/jssm.2023.263] [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: 03/17/2023] [Accepted: 05/08/2023] [Indexed: 06/10/2023]
Abstract
To explore the effects of 8-week polarized training (POL), high-intensity interval training (HIIT), and threshold training (THR) interventions on the cardiorespiratory fitness (CRF) of untrained healthy young adults. This study recruited 36 young adults and randomly assigned them to POL, HIIT, THR, or control (CG) groups to undergo an 8-week training intervention. The training impulse applied to all three intervention groups was identical. The training intensity was divided into Zone 1, 2, and 3 (Z1, Z2 and Z3) on the basis of the ventilatory thresholds (VT). The weekly training intensity distribution for POL was 75% of Z1 and 25% of Z3; HIIT was 100% of Z3 and THR was 50% of Z1 and 50% of Z2. Each group underwent Bruce protocol testing and supramaximal testing before, during, and after the intervention; relevant CRF parameters were assessed. 8 weeks of POL and HIIT significantly increased VT2 (p < 0.05); 8 weeks of POL, HIIT, THR and significantly increased VO2max and TTE (p < 0.05). The effect size of POL in relation to VO2max and TTE improvements was greater than that of HIIT and THR (g = 2.67 vs. 1.26 and 1.49; g = 2.75 vs. 2.05 and 1.60). Aerobic training models with different intensity distributions have different time effects on improving CRF. Relative to HIIT and THR, POL improved more variables of CRF. Therefore, POL is a feasible aerobic training method for improving CRF.
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Affiliation(s)
- Tsung-Lin Chiang
- Graduate Institute of Sport Coaching Science, Chinese Culture University, Taipei City, Taiwan (R.O.C.)
| | - Chu Chen
- Department of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei, Taiwan (R.O.C.)
| | - Yu-Chin Lin
- Graduate Institute of Sport Coaching Science, Chinese Culture University, Taipei City, Taiwan (R.O.C.)
| | - Shih-Hsuan Chan
- Graduate Institute of Sport Coaching Science, Chinese Culture University, Taipei City, Taiwan (R.O.C.)
| | - Huey-June Wu
- Graduate Institute of Sport Coaching Science, Chinese Culture University, Taipei City, Taiwan (R.O.C.)
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Effects of 12-week combined training versus high intensity interval training on cardiorespiratory fitness, body composition and fat metabolism in obese male adults. J Exerc Sci Fit 2023; 21:193-201. [PMID: 36820014 PMCID: PMC9937988 DOI: 10.1016/j.jesf.2023.01.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/28/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Background /Objectives: A weekly combination of a high volume of moderate-intensity continuous training (MICT) with a low volume of high-intensity interval training (HIIT) provides important improvements in body composition and physical capacities in individuals with obesity. However, previous studies did not determine the weekly proportions of HIIT and MICT a priori. This study aimed to investigate changes in body composition, physical capacities and the fat oxidation rate in obese male adults by comparing a combination of MICT and HIIT, called combined training (COMB), with HIIT for a 12-week period. Methods Thirty-four obese male adults (mean age: 39.4 ± 7.0 y; mean body mass index [BMI] 34.0 ± 4.2 kg m-2) participated in this study (n = 18 for COMB, n = 16 HIIT), attending ∼ 36 training sessions. The COMB group performed 3 repetitions of 2 min at 95% of peak oxygen uptake (V'O2 peak) (e.g., HIIT ≤20%), followed by 30 min at 60% of VO2 peak (e.g., MICT ≥80%). The HIIT group performed 5-7 repetitions of 2 min at 95% of VO2 peak. At baseline (PRE) and at the end of the training period (POST), body composition, VO2 peak, and the fat oxidation rate were measured. The two training programs were equivalent in caloric expenditure. Results At POST, body mass (BM) and fat mass (FM) decreased by a mean of 3.09 ± 3.21 kg and 3.90 ± 2.40 kg, respectively (P < 0.05), in both groups and V'O2 peak increased in both groups by a mean of 0.47 ± 0.34 L min-1 (P < 0.05). The maximal fat oxidation rate increased similarly in both groups from 0.32 ± 0.05 to 0.36 ± 0.06 g min-1 (P < 0.05). Conclusion COMB training represents a viable alternative to HIIT to improve anthropometric characteristics, physical capacities and fat oxidation in obese male adults.
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Foster C, Casado A, Esteve-Lanao J, Haugen T, Seiler S. Polarized Training Is Optimal for Endurance Athletes: Response to Burnley, Bearden, and Jones. Med Sci Sports Exerc 2022; 54:1035-1037. [PMID: 35576138 DOI: 10.1249/mss.0000000000002923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
- Carl Foster
- University of Wisconsin-La Crosse, La Crosse, WI
| | - Arturo Casado
- Centre for Sport Studies, Rey Juan Carlos University, Madrid, SPAIN
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Burnley M, Bearden SE, Jones AM. Polarized Training Is Not Optimal for Endurance Athletes. Med Sci Sports Exerc 2022; 54:1032-1034. [PMID: 35135998 DOI: 10.1249/mss.0000000000002869] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
| | - Shawn E Bearden
- Department of Biological Sciences, Idaho State University, Pocatello, ID
| | - Andrew M Jones
- Sport and Health Sciences, College of Life and Environmental Sciences, St. Luke's Campus, University of Exeter, Exeter, UNITED KINGDOM
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Boullosa D, Esteve-Lanao J, Casado A, Peyré-Tartaruga LA, Gomes da Rosa R, Del Coso J. Factors Affecting Training and Physical Performance in Recreational Endurance Runners. Sports (Basel) 2020; 8:sports8030035. [PMID: 32183425 PMCID: PMC7183043 DOI: 10.3390/sports8030035] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/09/2020] [Accepted: 03/13/2020] [Indexed: 01/25/2023] Open
Abstract
Endurance running has become an immensely popular sporting activity, with millions of recreational runners around the world. Despite the great popularity of endurance running as a recreational activity during leisure time, there is no consensus on the best practice for recreational runners to effectively train to reach their individual objectives and improve physical performance in a healthy manner. Moreover, there are lots of anecdotal data without scientific support, while most scientific evidence on endurance running was developed from studies observing both recreational and professional athletes of different levels. Further, the transference of all this information to only recreational runners is difficult due to differences in the genetic predisposition for endurance running, the time available for training, and physical, psychological, and physiological characteristics. Therefore, the aim of this review is to present a selection of scientific evidence regarding endurance running to provide training guidelines to be used by recreational runners and their coaches. The review will focus on some key aspects of the training process, such as periodization, training methods and monitoring, performance prediction, running technique, and prevention and management of injuries associated with endurance running.
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Affiliation(s)
- Daniel Boullosa
- Graduate Program in Movement Sciences, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil
- Correspondence: ; Tel.: +55-619-8250-2545
| | | | - Arturo Casado
- Faculty of Health Sciences, Isabel I de Castilla International University, Burgos, 09003 Castilla y León, Spain;
| | - Leonardo A. Peyré-Tartaruga
- Exercise Research Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul 90690-200, Brazil; (L.A.P.-T.); (R.G.d.R.)
| | - Rodrigo Gomes da Rosa
- Exercise Research Laboratory, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul 90690-200, Brazil; (L.A.P.-T.); (R.G.d.R.)
| | - Juan Del Coso
- Centre for Sport Studies, Rey Juan Carlos University, Fuenlabrada, 28943 Madrid, Spain;
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Pérez A, Ramos-Campo DJ, Marín-Pagan C, Martínez-Noguera FJ, Chung LH, Alcaraz PE. Impact of Polarized Versus Threshold Training on Fat Metabolism and Neuromuscular Variables in Ultrarunners. Int J Sports Physiol Perform 2020; 15:375-382. [PMID: 31614330 DOI: 10.1123/ijspp.2019-0113] [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: 02/11/2019] [Revised: 06/03/2019] [Accepted: 06/06/2019] [Indexed: 11/18/2022]
Abstract
PURPOSE To compare the effects of 2 different intensity distribution training programs (threshold [THR] and polarized [POL]) on fat metabolism and neuromuscular variables. METHODS Twenty ultrarunners were allocated to POL (n = 11; age 40.6 [9.7] y, weight 73.5 [10.8] kg, VO2max 55.8 [4.9] mL·kg-1·min-1) or THR group (n = 9; age 36.8 [9.2] y, weight 75.5 [10.4] kg, VO2max 57.1 [5.2] mL·kg-1·min-1) and performed a 12-week training program that consisted of 5 running sessions, 2 strength sessions, and 1 day of full rest per week. Both groups performed similar total training duration and load but with different intensity distribution during running sessions. Resting metabolic rate, fat metabolism, isometric rate of force development (RFD; N·s-1) and maximal voluntary contraction in the knee extensor, and electromyographic amplitude were measured before and after each program. RESULTS A significant decrease in RFD0-100 ms (Δ -13.4%; P ≤ .001; effect size [ES] = 1.00), RFD0-200 ms (Δ -11.7%; P ≤ .001; ES = 1.4), and RFDpeak (Δ -18%; P ≤ .001; ES = 1.4) were observed in the POL group. In THR group, a significant increase in mean electromyographic amplitude (Δ 24.4%; P = .02; ES = 1.4) was observed. There were no significant differences between groups in any of the variables. CONCLUSIONS Similar adaptations in fat metabolism and neuromuscular performance can be achieved after 12 weeks of POL or THR intensity distribution. However, THR distribution appears to better maintain strength (RFD) and improve mean electromyographic amplitude. Nevertheless, the combination of both running and maximum strength training could influence on results because of the residual fatigue thus inducing suboptimal adaptations in the POL group.
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