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Larrosa M, Gil-Izquierdo A, González-Rodríguez LG, Alférez MJM, San Juan AF, Sánchez-Gómez Á, Calvo-Ayuso N, Ramos-Álvarez JJ, Fernández-Lázaro D, Lopez-Grueso R, López-León I, Moreno-Lara J, Domínguez-Balmaseda D, Illescas-Quiroga R, Cuenca E, López T, Montoya JJ, Rodrigues-de-Souza DP, Carrillo-Alvarez E, Casado A, Rodriguez-Doñate B, Porta-Oliva M, Santiago C, Iturriaga T, De Lucas B, Solaesa ÁG, Montero-López MDP, Benítez De Gracia E, Veiga-Herreros P, Muñoz-López A, Orantes-Gonzalez E, Barbero-Alvarez JC, Cabeza-Ruiz R, Carnero-Diaz Á, Sospedra I, Fernández-Galván LM, Martínez-Sanz JM, Martín-Almena FJ, Pérez M, Guerra-Hernández EJ, López-Samanes Á, Sánchez-Oliver AJ, Domínguez R. Nutritional Strategies for Optimizing Health, Sports Performance, and Recovery for Female Athletes and Other Physically Active Women: A Systematic Review. Nutr Rev 2024:nuae082. [PMID: 38994896 DOI: 10.1093/nutrit/nuae082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024] Open
Abstract
CONTEXT Despite the progress toward gender equality in events like the Olympic Games and other institutionalized competitions, and the rising number of women engaging in physical exercise programs, scientific studies focused on establishing specific nutritional recommendations for female athletes and other physically active women are scarce. OBJECTIVE This systematic review aimed to compile the scientific evidence available for addressing the question "What dietary strategies, including dietary and supplementation approaches, can improve sports performance, recovery, and health status in female athletes and other physically active women?" DATA SOURCES The Pubmed, Web of Science, and Scopus databases were searched. DATA EXTRACTION The review process involved a comprehensive search strategy using keywords connected by Boolean connectors. Data extracted from the selected studies included information on the number of participants and their characteristics related to sport practice, age, and menstrual function. DATA ANALYSIS A total of 71 studies were included in this review: 17 focused on the analysis of dietary manipulation, and 54 focused on the effects of dietary supplementation. The total sample size was 1654 participants (32.5% categorized as competitive athletes, 30.7% as highly/moderately trained, and 37.2% as physically active/recreational athletes). The risk of bias was considered moderate, mainly for reasons such as a lack of access to the study protocol, insufficient description of how the hormonal phase during the menstrual cycle was controlled for, inadequate dietary control during the intervention, or a lack of blinding of the researchers. CONCLUSION Diets with high carbohydrate (CHO) content enhance performance in activities that induce muscle glycogen depletion. In addition, pre-exercise meals with a high glycemic index or rich in CHOs increase CHO metabolism. Ingestion of 5-6 protein meals interspersed throughout the day, with each intake exceeding 25 g of protein favors anabolism of muscle proteins. Dietary supplements taken to enhance performance, such as caffeine, nitric oxide precursors, β-alanine, and certain sport foods supplements (such as CHOs, proteins, or their combination, and micronutrients in cases of nutritional deficiencies), may positively influence sports performance and/or the health status of female athletes and other physically active women. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD480674.
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Affiliation(s)
- Mar Larrosa
- Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Angel Gil-Izquierdo
- Research Group on Food and Nutrition (ALINUT), University of Alicante, 03690 Alicante, Spain
- Quality, Safety, and Bioactivity of Plant Foods Group, Department of Food Science and Technology, CEBAS-CSIC, University of Murcia, 30100 Murcia, Spain
| | - Liliana Guadalupe González-Rodríguez
- Departamento de Nutrición y Ciencia de los Alimentos, Facultad de Farmacia, Universidad Complutense de Madrid, 28040 Madrid, Spain
- VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain
| | - María José Muñoz Alférez
- Department of Physiology (Faculty of Pharmacy, Cartuja University Campus), Institute of Nutrition and Food Technology "José Mataix", University of Granada, 18071 Granada, Spain
| | - Alejandro F San Juan
- Department of Health and Human Performance, Faculty of Physical Activity and Sports Sciences (INEF), Universidad Politécnica de Madrid, 28040 Madrid, Spain
| | | | - Natalia Calvo-Ayuso
- Departamento de Enfermería y Fisioterapia, Campus de Ponferrada, Universidad de León, 24401 Ponferrada, Spain
| | - Juan José Ramos-Álvarez
- School of Sport Medicine, Department of Radiology, Rehabilitation and Physiotherapy, Complutense University Madrid, 28040 Madrid, Spain
| | - Diego Fernández-Lázaro
- Department of Cellular Biology, Genetics, Histology and Pharmacology, Faculty of Health Sciences, University of Valladolid, 42004 Soria, Spain
- Neurobiology Research Group, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain
| | - Raúl Lopez-Grueso
- Facultad de Ciencias de la Salud, Universidad Isabel I, 09003 Burgos, Spain
| | - Inmaculada López-León
- Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain
| | - Javier Moreno-Lara
- Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain
| | - Diego Domínguez-Balmaseda
- Facultad de Ciencias de la Actividad Física, Deporte y Fisioterapia, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
| | - Román Illescas-Quiroga
- Departamento de Enfermería y Fisioterapia, University of Alcala, 28805 Alcalá de Henares, Spain
| | - Eduardo Cuenca
- Academia de Guardias y Suboficiales de la Guardia Civil, 23440 Baeza, Spain
| | - Teba López
- Academia de Guardias y Suboficiales de la Guardia Civil, 23440 Baeza, Spain
| | - Juan José Montoya
- School of Sport Medicine, Department of Radiology, Rehabilitation and Physiotherapy, Complutense University Madrid, 28040 Madrid, Spain
| | - Daiana Priscila Rodrigues-de-Souza
- Departamento de Enfermería, Farmacología y Fisioterapia, 14004 Córdoba, Spain
- Maimonides Biomedical Research Institute of Córdoba (IMIBIC), 14004 Córdoba, Spain
| | - Elena Carrillo-Alvarez
- Global Research on Wellbeing (GRoW) Research Group, Blanquerna School of Health Sciences, University Ramon Llull, 08025 Barcelona, Spain
| | - Arturo Casado
- Centro de Investigación en Ciencias del Deporte, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain
| | | | - Mireia Porta-Oliva
- Faculty of Food Technology, Autonomous University of Barcelona (UAB), Bellaterra, Spain
- FC Barcelona Medical Department, FC Barcelona, 08028 Barcelona, Spain
- Catalan School of Kinanthropometry, INEFC, 0838 Barcelona, Spain
| | - Catalina Santiago
- Facultad de Ciencias de la Actividad Física, Deporte y Fisioterapia, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
| | - Támara Iturriaga
- Facultad de Ciencias de la Actividad Física, Deporte y Fisioterapia, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
| | - Beatriz De Lucas
- Facultad de Ciencias de la Actividad Física, Deporte y Fisioterapia, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
| | | | | | - Elvira Benítez De Gracia
- Facultad de Ciencias de la Salud, Universidad Alfonso X El Sabio, 28691 Villanueva de la Cañada, Spain
| | - Pablo Veiga-Herreros
- Facultad de Ciencias de la Salud, Universidad Alfonso X El Sabio, 28691 Villanueva de la Cañada, Spain
| | - Alejandro Muñoz-López
- Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain
| | - Eva Orantes-Gonzalez
- Department of Sports and Computer Science, Faculty of Sports, University of Pablo de Olavide, 41013 Seville, Spain
| | | | - Ruth Cabeza-Ruiz
- Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain
| | - Ángel Carnero-Diaz
- Departamento de Educación Física y Deportiva, University of Seville, 41013 Seville, Spain
| | - Isabel Sospedra
- Nursing Department, Faculty of Health Sciences, University of Alicante, 03690 San Vicente del Raspeig, Spain
| | | | - José Miguel Martínez-Sanz
- Nursing Department, Faculty of Health Sciences, University of Alicante, 03690 San Vicente del Raspeig, Spain
| | | | - Margarita Pérez
- Department of Health and Human Performance, Faculty of Physical Activity and Sports Sciences (INEF), Universidad Politécnica de Madrid, 28040 Madrid, Spain
| | - Eduardo J Guerra-Hernández
- Departamento de Nutrición y Bromatología, Facultad de Farmacia, Universidad de Granada, 18011 Granada, Spain
| | - Álvaro López-Samanes
- Faculty of Human and Social Sciences, Universidad Pontificia Comillas, 28049 Madrid, Spain
| | - Antonio Jesús Sánchez-Oliver
- Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain
- Studies Research Group in Neuromuscular Responses (GEPREN), University of Lavras, 37203-202 Lavras, Brazil
| | - Raúl Domínguez
- Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain
- Studies Research Group in Neuromuscular Responses (GEPREN), University of Lavras, 37203-202 Lavras, Brazil
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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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Perez N, Miller P, Farrell JW. Intensity Distribution of Collegiate Cross-Country Competitions. Sports (Basel) 2024; 12:18. [PMID: 38251292 PMCID: PMC10821186 DOI: 10.3390/sports12010018] [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: 10/27/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024] Open
Abstract
The primary purpose of the current investigation was to perform an intensity distribution analysis of a collegiate cross-country (CC) competition, with a secondary purpose to compare race times (RT) with modeled performance times (MPT). Participants completed an incremental treadmill test to determine gas exchange threshold (GET), while the three-minute all-out test was conducted on a 400 m outdoor track to determine critical velocity (CV) and D prime (D'). GET and CV were used as physiological markers for the intensity zones based on heart rate (HR) and running velocity (RV), while CV and D' were used to determine modeled performance times. Participants wore a Global Positioning System (GPS) watch and heart rate (HR) monitor during competition races. Statistically, less time was spent in HR Zone 1 (12.1% ± 13.7%) compared to Zones 2 (37.6% ± 30.2%) and 3 (50.3% ± 33.7%), while a statically greater amount of time was spent in RV Zone 2 (75.0% ± 20.7%) compared to Zones 1 (8.4% ± 14.0%) and 3 (16.7% ± 19.1%). RTs (1499.5 ± 248.5 seconds (s)) were statistically slower compared to MPTs (1359.6 ± 192.7 s). The observed differences in time spent in each zone are speculated to be related to the influence of environmental conditions on internal metrics and difference in the kinetics of HR and running velocity. Differences in RTs and MPTs are likely due to the MPT equation modeling all-out performance and not considering race strategies.
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Affiliation(s)
| | | | - John W. Farrell
- Clinical Biomechanics and Exercise Physiology Laboratory, Texas State University, San Marcos, TX 78666, USA; (N.P.); (P.M.)
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Sperlich B, Matzka M, Holmberg HC. The proportional distribution of training by elite endurance athletes at different intensities during different phases of the season. Front Sports Act Living 2023; 5:1258585. [PMID: 37964776 PMCID: PMC10641476 DOI: 10.3389/fspor.2023.1258585] [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: 07/14/2023] [Accepted: 10/04/2023] [Indexed: 11/16/2023] Open
Abstract
The present review examines retrospective analyses of training intensity distribution (TID), i.e., the proportion of training at moderate (Zone 1, Z1), heavy (Z2) and severe (Z3) intensity by elite-to-world-class endurance athletes during different phases of the season. In addition, we discuss potential implications of our findings for research in this field, as well as for training by these athletes. Altogether, we included 175 TIDs, of which 120 quantified exercise intensity on the basis of heart rate and measured time-in-zone or employed variations of the session goal approach, with demarcation of zones of exercise intensity based on physiological parameters. Notably, 49% of the TIDs were single-case studies, predominantly concerning cross-country skiing and/or the biathlon. Eighty-nine TIDs were pyramidal (Z1 > Z2 > Z3), 65 polarized (Z1 > Z3 > Z2) and 8 "threshold" (Z2 > Z1 = Z3). However, these relative numbers varied between sports and the particular phases of the season. In 91% (n = 160) of the TIDs >60% of the endurance exercise was of low intensity. Regardless of the approach to quantification or phase of the season, cyclists and swimmers were found to perform a lower proportion of exercise in Z1 (<72%) and higher proportion in Z2 (>16%) than athletes involved in the triathlon, speed skating, rowing, running, cross-country skiing or biathlon (>80% in Z1 and <12% in Z2 in all these cases). For most of the athletes their proportion of heavy-to-severe exercise was higher during the period of competition than during the preparatory phase, although with considerable variability between sports. In conclusion, the existing literature in this area does not allow general conclusions to be drawn. The methods utilized for quantification vary widely and, moreover, contextual information concerning the mode of exercise, environmental conditions, and biomechanical aspects of the exercise is often lacking. Therefore, we recommend a more comprehensive approach in connection with future investigations on the TIDs of athletes involved in different endurance sports.
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Affiliation(s)
- Billy Sperlich
- Integrative and Experimental Training Science, Institute of Sport Sciences, University of Würzburg, Würzburg, Germany
| | - Manuel Matzka
- Integrative and Experimental Training Science, Institute of Sport Sciences, University of Würzburg, Würzburg, Germany
| | - Hans-Christer Holmberg
- Department of Physiology and Pharmacology, Biomedicum C5, Karolinska Institutet, Stockholm, Sweden
- Department of Health Sciences, Luleå University of Technology, Luleå, Sweden
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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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Casado A, Foster C, Bakken M, Tjelta LI. Does Lactate-Guided Threshold Interval Training within a High-Volume Low-Intensity Approach Represent the "Next Step" in the Evolution of Distance Running Training? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3782. [PMID: 36900796 PMCID: PMC10000870 DOI: 10.3390/ijerph20053782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
The aim of the present study was to describe a novel training model based on lactate-guided threshold interval training (LGTIT) within a high-volume, low-intensity approach, which characterizes the training pattern in some world-class middle- and long-distance runners and to review the potential physiological mechanisms explaining its effectiveness. This training model consists of performing three to four LGTIT sessions and one VO2max intensity session weekly. In addition, low intensity running is performed up to an overall volume of 150-180 km/week. During LGTIT sessions, the training pace is dictated by a blood lactate concentration target (i.e., internal rather than external training load), typically ranging from 2 to 4.5 mmol·L-1, measured every one to three repetitions. That intensity may allow for a more rapid recovery through a lower central and peripheral fatigue between high-intensity sessions compared with that of greater intensities and, therefore, a greater weekly volume of these specific workouts. The interval character of LGTIT allows for the achievement of high absolute training speeds and, thus, maximizing the number of motor units recruited, despite a relatively low metabolic intensity (i.e., threshold zone). This model may increase the mitochondrial proliferation through the optimization of both calcium and adenosine monophosphate activated protein kinase (AMPK) signaling pathways.
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Affiliation(s)
- Arturo Casado
- Center for Sport Studies, Rey Juan Carlos University, 28933 Madrid, Spain
| | - Carl Foster
- Department of Exercise and Sport Science, University of Wisconsin-LaCrosse, La Crosse, WI 54601, USA
| | | | - Leif Inge Tjelta
- Departament of Education and Sports Science, University of Stavanger, 4021 Stavanger, Norway
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Burtscher J, Strasser B, Burtscher M, Millet GP. The Impact of Training on the Loss of Cardiorespiratory Fitness in Aging Masters Endurance Athletes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191711050. [PMID: 36078762 PMCID: PMC9517884 DOI: 10.3390/ijerph191711050] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 05/16/2023]
Abstract
Elite masters endurance athletes are considered models of optimal healthy aging due to the maintenance of high cardiorespiratory fitness (CRF) until old age. Whereas a drop in VO2max in masters athletes has been broadly investigated, the modifying impact of training still remains a matter of debate. Longitudinal observations in masters endurance athletes demonstrated VO2max declines between -5% and -46% per decade that were closely related to changes in training volume. Here, using regression analyses, we show that 54% and 39% of the variance in observed VO2max decline in male and female athletes, respectively is explained by changes in training volume. An almost linear VO2max decrease was observed in studies on young and older athletes, as well as non-athletes, starting a few days after training cessation, with a decline of as much as -20% after 12 weeks. Besides a decline in stroke volume and cardiac output, training cessation was accompanied by considerable reductions in citrate synthase and succinate dehydrogenase activity (reduction in mitochondrial content and oxidative capacity). This reduction could largely be rescued within similar time periods of training (re)uptake. It is evident that training reduction or cessation leads to a considerably accelerated VO2max drop, as compared to the gradual aging-related VO2max decline, which can rapidly nullify many of the benefits of preceding long-term training efforts.
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Affiliation(s)
- Johannes Burtscher
- Department of Biomedical Sciences, University of Lausanne, CH-1015 Lausanne, Switzerland
- Institute of Sport Sciences, University of Lausanne, CH-1015 Lausanne, Switzerland
| | - Barbara Strasser
- Medical Faculty, Sigmund Freud Private University, A-1020 Vienna, Austria
| | - Martin Burtscher
- Department of Sport Science, University of Innsbruck, A-6020 Innsbruck, Austria
- Correspondence:
| | - Gregoire P. Millet
- Department of Biomedical Sciences, University of Lausanne, CH-1015 Lausanne, Switzerland
- Institute of Sport Sciences, University of Lausanne, CH-1015 Lausanne, Switzerland
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Contreras-Briceño F, Espinosa-Ramirez M, Keim-Bagnara V, Carreño-Román M, Rodríguez-Villagra R, Villegas-Belmar F, Viscor G, Gabrielli L, Andía ME, Araneda OF, Hurtado DE. Determination of the Respiratory Compensation Point by Detecting Changes in Intercostal Muscles Oxygenation by Using Near-Infrared Spectroscopy. Life (Basel) 2022; 12:life12030444. [PMID: 35330195 PMCID: PMC8954259 DOI: 10.3390/life12030444] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/07/2022] [Accepted: 03/15/2022] [Indexed: 11/20/2022] Open
Abstract
This study aimed to evaluate if the changes in oxygen saturation levels at intercostal muscles (SmO2-m.intercostales) assessed by near-infrared spectroscopy (NIRS) using a wearable device could determine the respiratory compensation point (RCP) during exercise. Fifteen healthy competitive triathletes (eight males; 29 ± 6 years; height 167.6 ± 25.6 cm; weight 69.2 ± 9.4 kg; V˙O2-máx 58.4 ± 8.1 mL·kg−1·min−1) were evaluated in a cycle ergometer during the maximal oxygen-uptake test (V˙O2-máx), while lung ventilation (V˙E), power output (watts, W) and SmO2-m.intercostales were measured. RCP was determined by visual method (RCPvisual: changes at ventilatory equivalents (V˙E·V˙CO2−1, V˙E·V˙O2−1) and end-tidal respiratory pressure (PetO2, PetCO2) and NIRS method (RCPNIRS: breakpoint of fall in SmO2-m.intercostales). During exercise, SmO2-m.intercostales decreased continuously showing a higher decrease when V˙E increased abruptly. A good agreement between methods used to determine RCP was found (visual vs NIRS) at %V˙O2-máx, V˙O2, V˙E, and W (Bland-Altman test). Correlations were found to each parameters analyzed (r = 0.854; r = 0.865; r = 0.981; and r = 0,968; respectively. p < 0.001 in all variables, Pearson test), with no differences (p < 0.001 in all variables, Student’s t-test) between methods used (RCPvisual and RCPNIRS). We concluded that changes at SmO2-m.intercostales measured by NIRS could adequately determine RCP in triathletes.
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Affiliation(s)
- Felipe Contreras-Briceño
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
- Physiology Section, Department of Cell Biology, Physiology and Immunology, Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Spain;
- Advanced Center for Chronic Diseases (ACCDiS), Division of Cardiovascular Diseases, Facultad de Medicina, Pontificia Universidad Católica de Chile, Marcoleta #367, Santiago 8380000, Chile
- Biomedical Imaging Center, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile;
- Correspondence: ; Tel.: +56-22-3541512
| | - Maximiliano Espinosa-Ramirez
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
- Biomedical Imaging Center, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile;
| | - Vicente Keim-Bagnara
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
| | - Matías Carreño-Román
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
| | - Rafael Rodríguez-Villagra
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
| | - Fernanda Villegas-Belmar
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
| | - Ginés Viscor
- Physiology Section, Department of Cell Biology, Physiology and Immunology, Faculty of Biology, Universitat de Barcelona, 08028 Barcelona, Spain;
| | - Luigi Gabrielli
- Laboratory of Exercise Physiology, Department of Health Science, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile; (M.E.-R.); (V.K.-B.); (M.C.-R.); (R.R.-V.); (F.V.-B.); (L.G.)
- Advanced Center for Chronic Diseases (ACCDiS), Division of Cardiovascular Diseases, Facultad de Medicina, Pontificia Universidad Católica de Chile, Marcoleta #367, Santiago 8380000, Chile
| | - Marcelo E. Andía
- Biomedical Imaging Center, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile;
| | - Oscar F. Araneda
- Laboratory of Integrative Physiology of Biomechanics and Physiology of Effort (LIBFE), Kinesiology School, Faculty of Medicine, Universidad de los Andes, Santiago 7620001, Chile;
| | - Daniel E. Hurtado
- Department of Structural and Geotechnical Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile;
- Schools of Engineering, Medicine and Biological Sciences, Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
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