Examinando por Autor "Virto, Naiara"

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    Effects of 12 weeks of short-duration isometric strength training in university students
    (Asociación Española de Ciencias del Deporte, 2024-06-30) Santisteban Leguina, Aitor; Mojas Ereño, Egoitz; Virto, Naiara; Fernández, Juan Ramón; Gómez, Roberto; Río de Frutos, Xabier
    Purpose: Isometric strength training has the advantage of improving musculoskeletal properties, neuromuscular function and health biomarkers compared with dynamic strength training. This study aimed to analyze the effects of short-term isometric strength training on pain, body composition, and biomarkers of health in young adults. Methods: This was a pre-post experimental study with isometric training period. The training period was carried out for 12 weeks with a single session per week, with a weekly training volume of 6 minutes. The study sample consisted of 22 students (20.5 years ± 1.37) of both sexes (15 males and 7 females). The maximum isometric force test (in Newton meters) using the MedX lumbar extension and knee extension machines. The InBody 770 were used for body composition analysis, visual analog scale for pain and glycated hemoglobin values were measured using the Quo-Lab. Results: Analysis of changes in pain showed a significant improvement in hip pain in the entire group (p≤0.05), with no other significant changes observed in the other pain scales (0.05), phase angle (0.02), glycated haemoglobin (0.00) and lumbar strength (<0.05) measured or segregating the sample by sex. Conclusion: The study demonstrates that a short duration strength training intervention can help to improve pain at anatomical points, reduce HbA1c levels, finding trends for improvement in numerous body composition variables. Highlighting the significant change in phase angle, a variable with a promising approach in the more accurate and comprehensive study of both body composition and metabolic health.
  • Miniatura
    Ítem
    Exploring determinant factors influencing muscle quality and sarcopenia in Bilbao’s older adult population through machine learning: a comprehensive analysis approach
    (Public Library of Science, 2024-12) Virto, Naiara; Dequin, Danielle Marie; Río de Frutos, Xabier; Méndez Zorrilla, Amaia; García-Zapirain, Begoña
    Background Sarcopenia and reduced muscle quality index have garnered special attention due to their prevalence among older individuals and the adverse effects they generate. Early detection of these geriatric pathologies holds significant potential, enabling the implementation of interventions that may slow or reverse their progression, thereby improving the individual’s overall health and quality of life. In this context, artificial intelligence opens up new opportunities to identify the key identifying factors of these pathologies, thus facilitating earlier intervention and personalized treatment approaches. investigate anthropomorphic, functional, and socioeconomic factors associated with muscle quality and sarcopenia using machine learning approaches and identify key determinant factors for their potential future integration into clinical practice. A total of 1253 older adults (89.5% women) with a mean age of 78.13 ± 5.78 voluntarily participated in this descriptive cross-sectional study, which examines determining factors in sarcopenia and MQI using machine learning techniques. Feature selection was completed using a variety of techniques and feature datasets were constructed according to feature selection. Three machine learning classification algorithms classified sarcopenia and MQI in each dataset, and the performance of classification models was compared. Results The predictive models used in this study exhibited AUC scores of 0.7671 for MQI and 0.7649 for sarcopenia, with the most successful algorithms being SVM and MLP. Key factors in predicting both conditions have been shown to be relative power, age, weight, and the 5STS. No single factor is sufficient to predict either condition, and by comprehensively considering all selected features, the study underscores the importance of a holistic approach in understanding and addressing sarcopenia and MQI among older adults. Conclusions Exploring the factors that affect sarcopenia and MQI in older adults, this study highlights that relative power, age, weight, and the 5STS are significant determinants. While considering these clinical markers and using a holistic approach, this can provide crucial information for designing personalized and effective interventions to promote healthy aging.