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  • Publication
    Feature Selection applied to QoS/QoE Modeling on video and web-based Mobile data Services: An ordinal approach
    (Elsevier, 2024) García Torres, Miguel; Pinto Roa, Diego P.; Núñez Castillo, Carlos; Quiñonez, Brenda; Vázquez, Gabriela; Allegretti, Mauricio; García Díaz, María E.
    Nowadays, mobile service providers perceive the user experience as a reliable indicator of the quality associated to a service. Given a set of Quality of Service (QoS) factors, the aim is to predict the Quality of Experience (QoE), measured in terms of the Mean Opinion Score (MOS). Although this problem is receiving much attention, there are still some challenges that require more research in order to find effective solutions for meeting user’s expectation in terms of service quality. A core challenge in this topic refers to the analysis of the contribution of each factor to the QoS/QoE Model. In this work, we study the mapping between QoS and QoE on video and web-based services using a machine learning approach. For such purpose, we design a lab-testing methodology to emulate different cellular transmission network scenarios. Then, we address the problem of inducing a predictive model and identifying relevant QoS factors. Results suggest that bandwidth is a key factor when analyzing user’s perception of service quality.
  • Publication
    Association of physical self-concept with physical activity, life satisfaction and mediterranean diet in adolescents
    (Hrčak, 2014-05-19) Grao Cruces, Alberto; Nuviala Nuviala, Alberto; Fernández Martínez, Antonio; Pérez-Turpin, J.A.
    The aim of this study was to examine the association between physical self-concept and physical activity, the intention to be physically active, life satisfaction, and adherence to the Mediterranean diet in adolescents. A total of 1,808 Spanish adolescents (12-16 years of age) participated in this cross-sectional study. Physical Self Questionnaire, Moderate-to-Vigorous Physical Activity Screening Measure, Intention to be Physically Active Scale, Satisfaction with Life Scale, and Mediterranean Diet Quality Index were administered. The boys with a lower physical self-concept showed higher odd ratios of being inactive, having low intentions of being physically active, poor life satisfaction and low adherence to the Mediterranean diet. Similarly, most of the associations were also statistically significant in girls as well. In conclusion, the study reveals that having a low level of physical self-concept increases the risk of being inactive and of having a low level of intention to be physically active, life satisfaction and adherence to the Mediterranean diet in adolescents.
  • Publication
    Association of fitness with life satisfaction, health risk behaviors, and adherence to the Mediterranean diet in Spanish adolescents
    (Wolters Klumer, 2014-08-01) Grao Cruces, Alberto; Fernández Martínez, Antonio; Nuviala Nuviala, Alberto
    The aim of this study was to examine the association between aerobic, musculoskeletal, and motor capacity and life satisfaction, risk behavior, and adherence to the Mediterranean diet in adolescents. A total of 1,988 Spanish adolescents (12–16 years old) participated in this cross-sectional study. Life satisfaction, risk behavior, and adherence to the Mediterranean diet were measured by validated questionnaires for these ages. Aerobic, musculoskeletal muscle, and motor capacity were evaluated objectively with the ALPHA battery tests. Adolescents with low aerobic capacity had a higher risk of showing less (vs. very happy) life satisfaction (odds ratio [OR] = 1.303, 95% confidence interval [CI] = 1,054–1,611). These adolescents were also more likely to report risk behaviors such as sometimes (vs. never) of smoking tobacco (OR = 1.752, 95% CI = 1,218–2,520), besides having a low adherence to the Mediterranean diet (vs. high) (OR = 1.410, 95% CI = 1,113–1,786). Adolescents with low upper-body musculoskeletal capacity showed a lower risk of reporting risk behaviors such as alcohol consumption or getting drunk occasionally (vs. never) (OR = 0.662, 95% CI = 520–843; OR = 0.561, 95% CI = 419–753, respectively). The results suggest that the aerobic capacity contributes significantly to greater adherence to the Mediterranean diet, greater life satisfaction, and lower tobacco consumption, whereas musculoskeletal capacity seems to be related to alcohol consumption.
  • Publication
    Intención de volver a participar en un evento deportivo en el medio natural: prácticas verdes y calidad de resultado como antecedentes
    (FEADEF, 2024-02-02) Chaves-Castro, Karla; Morán-Gómez, Guillermo; Nuviala Nuviala, Román; Fernández Martínez, Antonio
    En los últimos años los eventos deportivos llevados a cabo en la naturaleza han aumentado, provocando un gran impacto en los lugares donde se realizan. Las organizaciones deportivas tienen el reto de ofrecer eventos deportivos de calidad que satisfagan las necesidades de los participantes y que sean amigables con el ambiente. Objetivo: explorar la relación entre las prácticas verdes, la calidad (general y del resultado), la satisfacción y la intención de volver a participar en eventos deportivos realizados en el medio natural en Costa Rica. Método: 781 participantes (66.3% hombres y 33.7% mujeres) con una edad promedio de 40.9 ± 11.9 años. El instrumento utilizado fue un cuestionario conformado por 24 ítems provenientes de distintas escalas. Para el análisis de los datos, se aplicaron técnicas estadísticas, incluyendo el cálculo de estadísticas descriptivas, el índice Alpha de Cronbach, la varianza promedio extraída, la fiabilidad compuesta y modelos de ecuaciones estructurales. Resultados: se destaca las prácticas verdes como antecedente de la calidad general y que la calidad general antecede la satisfacción, mientras que la calidad del resultado antecede la satisfacción y las intenciones de volver a participar, además, se encontró que la satisfacción también es un antecedente de las intenciones de volver a participar en el evento. Conclusiones: la implementación de prácticas verdes es un elemento indispensable a considerar en la gestión de eventos deportivos, ya que no solo ayudan a minimizar el impacto medio ambiental, sino que también pueden mejorar la calidad del evento y la intención de volver a participar de los participantes.
  • Publication
    Exercise Addiction Stability and Health Effects. A 6-Month Follow-up Postcompetition Study in Amateur Endurance Cyclists
    (American Society of Addiction Medicine, 2022) Bueno-Antequera, Javier; Oviedo-Caro, Miguel Ángel; Legaz-Arrese, Alejandro; París-García, Federico; Guillén-Correas, Roberto; Munguía Izquierdo, Diego; Mayolas-Pi, Carmen
    Objective: To study the longitudinal stability of exercise addiction and its health effects in apparently healthy amateur endurance cyclists from pre- to 6-month post-competition. Methods: In total, 330 (30 women) adult cyclists were divided into 4 groups based on scores on the Exercise Addiction Inventory at both periods: nonrisk (n=262, 79.1%), transient (n=35, 10.6%), emerging (n=14, 4.2%) and persistent (n=20, 6.1%). Results: The prevalence of high-risk exercise addiction was reduced postcompetition (16.7% vs 10.3%, p=0.017). Of the cyclists with a high precompetition risk of exercise addiction, 63.6% (35/55) had a transient addiction associated with favorable effects on mental quality of life (effect size [ES]=0.52, 95% confidence interval: [0.20, 0.86]) and sleep quality (ES=0.50 [0.89, 0.12]) and avoided the worsening of depression symptom severity compared to the remaining groups (ES range=0.51–0.65). The 5.1% (14/275) of cyclists with a precompetition low risk of exercise addiction presented emerging exercise addiction that was associated with a worsened mental quality of life compared to the remaining groups (ES ranged 0.59–0.91), sleep quality compared to the nonrisk (ES=0.56 [0.02, 1.10]) and transient (ES=0.72 [1.36, 0.08]) groups and anxiety symptom severity compared to the persistent group (ES=0.51 [1.20, 0.19]). Conclusions: Exercise addiction had a marked transitory component at 6-month postcompetition with associated health benefits in amateur endurance cyclists.
  • Publication
    Influence of Dance Programmes on Gait Parameters and Physical Parameters of the Lower Body in Older People: A Systematic Review
    (MDPI, 2022-06-29) París-García, Federico; Rodríguez, Bárbara
    Abstract: (1) Background: The regular practice of dancing benefits the physical condition, improving quality of life and minimising the adverse effects of ageing. Therefore, this review aims to evaluate the impact of dance programmes by quantifying different physical parameters of the lower body in older adults. (2) Methods: A systematic qualitative review in the English language (PubMed, Scopus, OvidSP, Cochrane and PEDro database) until mid-2020 considering the PRISMA guidelines and the PEDro quality criteria considering the following parameters of gait: stride length and width, speed. Physical parameters: flexion and dorsiflexion joint, muscle strength and range of motion were carried out. (3) Results: 9 studies with a population of 544 subjects from 5 continents and 6 types of dances were taken into account. The improvement of some parameters over others depended on the type of dance and the movements generated, having moderate positive effects on strength, agility, mobility and balance. (4) Conclusions: there is a general improvement in the functional capacity of the elderly through the practice of ballroom dancing, with specific improvement of each parameter depending on the type of dance.
  • Publication
    Training volume and amateur cyclists’ health: a six-month follow-up from coinciding with a highdemand cycling event
    (Routledge Taylor & Francis Group, 2021-06-05) Oviedo-Caro, Miguel Angel; Mayolas-Pi, Carmen; París-García, Federico; Murillo Fuentes, Alfonso; Reverter-Masia, Joaquín; Bueno-Antequera, Javier; Munguía Izquierdo, Diego; Legaz-Arrese, Alejandro
    This study aimed to analyse the longitudinal association of amateur cycling training volume with health by comparing the proximity of participation in a high-demand cycling event. Variations in cycling training volume, behavioural cardiometabolic risk factors, and physical and psychosocial health were examined. Cyclists decreased their training volume by approximately 40% and their total physical activity volumes by approximately 20%, while controls maintained (~5%). A time*group interaction was found for men’s physical conditioning, body mass index and anxiety and, independent of gender, for behavioural cardiometabolic risk factors. Variation in cycling training volume was positively correlated with variation in physical conditioning and total physical activity and negatively correlated with variation in body mass index. The high level of cycling training volume developed at the time coinciding with a high demand cycling event predisposes to better physical health and behavioural cardiometabolic risk factors, without negatively affect psychosocial health, compared with six month later.
  • Publication
    FLEXOR: A support tool for efficient and seamless experiment data processing to evaluate musculo-articular stiffness
    (Elsevier, 2019-08-23) París-García, Federico; Ángel Ruiz-Zafra; Manuel Noguera; Alberto Barroso-Caro
    Background and objective: The evaluation of musculo-articular stiffness (MAS) is an increasingly de- manded procedure with applications in different fields, such as sports performance and lower limbs injury prevention. However, this task is non-automated, time-consuming and error-prone due to man- ual handling of data streams and files across several software applications. Despite the fact that process automation of validated procedures helps to prevent errors, there is still a lack of easy-to-use tools for analysis, management and visualization of MAS trials. Methods: In the present work a tool called FLEXOR has been developed which applies mathemat- ical methods and novel algorithms to automatically adjust curves of data streams for MAS analysis decreasing substantially time employed and errors. This tool permits to define different adjustment parameters, detect curve peaks and valleys, and display the results on the fly. FLEXOR has been implemented through a component-based software development (CBSD) process. All physiological fundamentals for the biomechanical measurement have been included in the tool developed. To de- scribe the integration of all required components a 4 + 1 view model architecture has been used. The installation guide, the FLEXOR software and some data samples can be found on its GitHub repository ( https://github.com/FlexorSoftware/flexor ). Results: A multiplatform software tool to simplify traditional complex and manual procedures for MAS analysis is obtained. The tool turns them into a simple all-in-one procedure, reducing processing times from hours to a few minutes. The methodology was tested on multiple datasets generated by previous tools in former procedures as well as on real-time trials in the laboratory, showing identical results. Conclusion: The results show that the developed tool can accomplish an unfilled essential task in the analysis, management and visualization of MAS measurement. The presented software tool empowers analysts to handle the different studies, investigate different parameters related to each experiment and even test with different output parameters in each experiment, enabling real-time trials and shared stud- ies between different analysts.
  • Publication
    Risk perception evaluation in parents and/or guardians of a group of beginner traceurs before and after parkour practice
    (Editura Universitatea din Pitesti, 2018-07-30) Muñoz Llerena, Antonio; Férnandez Gavira, Jesús; Martín Nicaise, David; París-García, Federico
    The aim of this study is to evaluate the risk perception of parents and/or guardians of a group of beginner traceurs before and after parkour practice. Although the existing information about it was limited and had numerous distortions, it was successfully executed. This research has been carried out from interviews applied to 15 parents/guardians before and after a program of parkour practice. To this end, the sessions were recorded and subsequently viewed with the parents, creating a discussion forum. From the first interviews, in which almost all the parents had had the view that it was a very dangerous activity until the last interview, most of the interviewees changed their opinion, thinking that the risk of parkour depended mostly on its use by the person.
  • Publication
    A study of the reproducibility and reliability of the musculo-articular stiffness of the ankle joint
    (Elsevier, 2018-03-14) París-García, Federico; Alberto Barroso; Federico Paris
    The objective of this work was to evaluate the reproducibility, reliability and usefulness of the musculo-articular stiffness (MAS) of the ankle joint, measuring it by the free vibration technique. Seventeen (nine males and eight females) healthy university students were included in the study. Force (f), MAS (k) and unitary MAS (ku) (defined as the ratio between the value of stiffness k obtained in the test (absolute terms) and the value of force (f)) were obtained. A test retest protocol was designed and performed on the same day to determine the short-term reproducibility of f, k and ku. Short-term reproducibility of k and ku on 1 day in absolute terms (< 7% Coefficient of Variation (CV)) and relative reproducibility (Intraclass Correlation Coefficient (ICC) and Pearson ≥0.97) for both feet were obtained. The reliability of k and ku in absolute terms (< 9% CV) and in relative terms (ICC and Pearson≥0.93) based on repeating the protocol for 1 week was analysed for both feet. To analyse the usefulness, the Effect Size (ES) ratio=“Trivial” for all variables (for 1 day and 1 week) and the Smallest Worthwhile Change (SWC) ratio (Typical Error (TE)
  • Publication
    Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning
    (Springer, 2019-03-11) Tallón-Ballesteros, A.J.; Riquelme, J.C.; Ruiz, Roberto
    This paper presents a workbench to get simple neural classification models based on product evolutionary networks via a prior data preparation at attribute level by means of filter-based feature selection. Therefore, the computation to build the classifier is shorter, compared to a full model without data pre-processing, which is of utmost importance since the evolutionary neural models are stochastic and different classifiers with different seeds are required to get reliable results. Feature selection is one of the most common techniques for pre-processing the data within any kind of learning task. Six filters have been tested to assess the proposal. Fourteen (binary and multi-class) difficult classification data sets from the University of California repository at Irvine have been established as the test bed. An empirical study between the evolutionary neural network models obtained with and without feature selection has been included. The results have been contrasted with nonparametric statistical tests and show that the current proposal improves the test accuracy of the previous models significantly. Moreover, the current proposal is much more efficient than the previous methodology; the time reduction percentage is above 40%, on average. Our approach has also been compared with several classifiers both with and without feature selection in order to illustrate the performance of the different filters considered. Lastly, a statistical analysis for each feature selector has been performed providing a pairwise comparison between machine learning algorithms.
  • Publication
    Effect of Strength Training Programs in Middle‑ and Long‑Distance Runners’ Economy at Different Running Speeds: A Systematic Review with Meta‑analysis
    (Springer, 2023-12-06) LLanos-lagos, Cristian; Ramirez-Campillo, Rodrigo; Sáez de Villarreal Sáez, Eduardo
  • Publication
    Consolidation, Stages of Change, and Loyalty among Users of Public Sports and Health Services Aged 12–16
    (MDPI, 2021-09-26) Fernández-Martínez, Antonio; Dueñas-Dorado, Luis Alberto; Teva-Villén, María Rosario; Nuviala, Alberto; Fernández Martínez, Antonio
    There are two main lines of inquiry in the literature on adherence and/or loyalty to the practice of physical activity and to health services: one focuses on the impact of perceived quality of sports and health services and satisfaction with these services on user loyalty, while the other concludes that users with more self-determined motivation at more advanced stages of physical activity display higher levels of physical activity and greater intentions to continue this activity. The objective of this study is to ascertain the impact of different dimensions of sports service quality on satisfaction and loyalty among users aged 12 to 16 years old and to identify any differences between adolescent users at more and less consolidated stages of physical activity. A total of 1717 minors with a mean age of 13.83 ± 1.32 years who practise organised physical activity at public sports centres in Nuevo León (Mexico), 51.5% of whom were boys, participated in the study. The model of structural equations linking quality, satisfaction, and loyalty displayed adequate indices. The results showed that the staff, specific activity, and user satisfaction are predictors of loyalty. Significant differences were only found between minors at consolidated and non-consolidated stages of physical activity in the relationship between service personnel and loyalty. In conclusion, human resources and their deployment are predictive of loyalty towards sports and health services among adolescents.
  • Publication
    Relationship of physical activity and sedentarism with tobacco and alcohol consumption, and Mediterranean diet in Spanish teenagers
    (Grupo Aula Médica España, 2014-12-19) Grao-Cruces, Alberto; Nuviala, Alberto; Fernández Martínez, Antonio; Martínez-López, Emilio José
    Background and objectives: This study examined the association of physical activity and sedentarism with to bacco and alcohol consumption, and adherence to the Mediterranean diet in teenagers of both genders. Methods: A total number of 1897 Spanish teenagers (12-16 year-olds) took part in the present cross-sectional study. The variables were measured by means of ques tionnaires previously validated for these ages. Results: Physical activity was positively associated to the degree of adherence to the Mediterranean diet for both genders (ß = .144, P < .001 for boys and ß = .066, P < .05 for girls), and inversely associated to smoking for boys (ß = -.135, P = <.001). Sedentary behaviors for lei sure purposes (TV and PC) were negatively associated to adherence to the Mediterranean diet for both boys (ß = -.100 and ß = -.104, both P < .05, respectively) and girls (ß = -.148 and ß = -.141, both P <.001), and positively asso ciated to alcohol consumption for girls (ß = .114, P < .01 and ß = .199, P < .001, respectively). Conclusion: results suggest that physical activity and sedentary behaviors have an important relationship with the adherence to the Mediterranean diet in teenagers. Also, higher levels of physical activity in boys can lead to reduced tobacco use, while watching TV and PC leisure can lead to increased alcohol consumption in girls.
  • Publication
    Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption
    (Elsevier, 2024-01-22) Pérez Chacón, Rubén; Asencio Cortés, Gualberto; Martínez-Álvarez, Francisco; Troncoso, Alicia
    Several interrelated variables typically characterize real-world processes, and a time series cannot be predicted without considering the influence that other time series might have on the target time series. This work proposes a novel algorithm to forecast multivariate big data time series. This new general-purpose approach consists first of a previous pattern recognition performed jointly using all time series that form the multivariate time series and then predicts the target time series by searching for similarities between pattern sequences. The proposed algorithm is designed to tackle multivariate time series forecasting problems within the context of big data. In particular, the algorithm has been developed with a distributed nature to enhance its efficiency in analyzing and processing large volumes of data. Moreover, the algorithm is straightforward to use, with only two parameters needing adjustment. Another advantage of the MV-bigPSF algorithm is its ability to perform multi-step forecasting, which is particularly useful in many practical applications. To evaluate the algorithm’s performance, real-world data from Uruguay’s power consumption has been utilized. Specifically, MV-bigPSF has been compared with both univariate and multivariate methods. Regarding the univariate ones, MV-bigPSF improved 12.8% in MAPE compared to the second-best method. Regarding the multivariate comparison, MV-bigPSF improved 44.8% in MAPE with respect to the second most accurate method. Regarding efficiency, the execution time of MV-bigPSF was 1.83 times faster than the second-fastest multivariate method, both in a single-core environment. Therefore, the proposed algorithm can be a valuable tool for practitioners and researchers working in multivariate time series forecasting, particularly in big data applications.
  • Publication
    Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure
    (Elsevier, 2018-04-24) Asencio Cortés, Gualberto; Morales Esteban, Antonio; Shang, Xuei; Martínez-Álvarez, Francisco
    Earthquake magnitude prediction is a challenging problem that has been widely studied during the last decades. Statistical, geophysical and machine learning approaches can be found in literature, with no particularly satisfactory results. In recent years, powerful computational techniques to analyze big data have emerged, making possible the analysis of massive datasets. These new methods make use of physical resources like cloud based architectures. California is known for being one of the regions with highest seismic activity in the world and many data are available. In this work, the use of several regression algorithms combined with ensemble learning is explored in the context of big data (1 GB catalog is used), in order to predict earthquakes magnitude within the next seven days. Apache Spark framework, H2O library in R language and Amazon cloud infrastructure were been used, reporting very promising results.
  • Publication
    A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information
    (Elsevier, 2018-11-27) Gómez Losada, Álvaro; Asencio Cortés, Gualberto; Martínez Álvarez, Francisco; Riquelme Santos, José Cristobal; Martínez-Álvarez, Francisco
    Surface ozone (O3) is considered an hazard to human health, affecting vegetation crops and ecosystems. Accurate time and location O3 forecasting can help to protect citizens to unhealthy exposures when high levels are expected. Usually, forecasting models use numerous O3 precursors as predictors, limiting the reproducibility of these models to the availability of such information from data providers. This study introduces a 24 h-ahead hourly O3 concentrations forecasting methodology based on bagging and ensemble learning, using just two predictors with lagged O3 concentrations. This methodology was applied on ten-year time series (2006–2015) from three major urban areas of Andalusia (Spain). Its forecasting performance was contrasted with an algorithm especially designed to forecast time series exhibiting temporal patterns. The proposed methodology outperforms the contrast algorithm and yields comparable results to others existing in literature. Its use is encouraged due to its forecasting performance and wide applicability, but also as benchmark methodology.
  • Publication
    Intention to be Physically Active is Influenced by Physical Activity and Fitness, Sedentary Behaviours, and Life Satisfaction in Adolescents
    (Collegium Antropologicum, 2014-12-12) Grao-Cruces, Alberto; Fernández Martínez, Antonio; Nuviala, Alberto; Pérez-Turpin, José
    The aim of this study was to analyze the association of levels of physical activity (PA), physical fitness (PF), sedentary lifestyle and life satisfaction with the intention to be physically active after secondary school graduation, in teenagers of both genders. A total of 1986 Spanish adolescents (12-16 years) participated in this cross-sectional study. PA, sedentary lifestyle, life satisfaction and intention to be physically active were assessed through validated questionnaires, and PF was evaluated objectively with the ALPHA battery tests. In both genders, adolescents who had significantly higher odds ratios (OR) of showing low intention to be physically active had low level of PA, cardiorespiratory fitness and muscular fitness in the lower body, and they were more sedentary in front of the computer. The girls that spent a lot of time watching TV and the boys with low life satisfaction also showed higher OR of having low intention to be physically active.
  • Publication
    Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand
    (Elsevier, 2020-07-07) Pérez Chacón, Rubén; Asencio Cortés, Gualberto; Martínez Álvarez, Francisco; Troncoso, Alicia
    This work proposes a novel algorithm to forecast big data time series. Based on the well-established Pattern Sequence-based Forecasting algorithm, this new approach has two major contributions to the literature. First, the improvement of the original algorithm with respect to the accuracy of predictions, and second, its transformation into the big data context, having reached meaningful results in terms of scalability. The algorithm uses the Apache Spark distributed computation framework and it is a ready-to-use application with few parameters to adjust. Physical and cloud clusters have been used to carry out the experimentation, which consisted in applying the algorithm to real-world data from Uruguay electricity demand.
  • Publication
    Valoración del programa Escuelas Deportivas: Composición corporal, actividad física y capacidad aeróbica en adolescentes
    (FEADEF, 2015-06-01) Grao-Cruces, Alberto; Nuviala, Alberto; Fernández Martínez, Antonio
    Escuelas Deportivas es un proyecto educativo de actividad física (AF) extraescolar, implementado por la Junta de Andalucía (España) para fomentar la AF y prevenir la obesidad escolar. El objetivo del estudio fue observar cambios en la composición corporal, niveles de AF y capacidad aeróbica durante la aplicación del programa Escuelas Deportivas en un curso escolar (2011/2012). Estudio no experimental, con medidas al inicio y al final del curso citado. En él participaron 1713 adolescentes (12-16 años) que cursaban educación secundaria en Andalucía. Índice de masa corporal y capacidad aeróbica fueron evaluados con medidas objetivas, AF mediante un cuestionario previamente validado. El programa Escuelas Deportivas tuvo mayor aceptación entre los adolescentes varones y entre los adolescentes de ambos sexos que fueron más activos y obtuvieron mayor puntuación en la prueba de capacidad aeróbica. Durante su aplicación, se observó un descenso de los niveles de AF y capacidad aeróbica de las chicas que sólo fue significativo entre aquellas que no participaron en el programa.