Prescripción personalizada de ejercicio basada en IA: efectos en la adaptación física y la adherencia al ejercicio de estudiantes universitarios
DOI:
https://doi.org/10.55040/qxgr9967Palabras clave:
inteligencia artificial, prescripción personalizada de ejercicio, adaptación física, adherencia al ejercicioResumen
La inteligencia artificial se utiliza cada vez más para apoyar intervenciones personalizadas de salud y condición física mediante programas de ejercicio adaptados al nivel físico y a las necesidades de entrenamiento de los estudiantes. Este estudio examinó los efectos de la prescripción personalizada de ejercicio basada en IA sobre la adaptación física y la adherencia al ejercicio en estudiantes universitarios. Se empleó un diseño cuasi experimental con preprueba y posprueba con grupo control. Participaron 120 estudiantes universitarios asignados aleatoriamente a un grupo experimental, que recibió prescripciones personalizadas de ejercicio basadas en IA, o a un grupo control, que siguió un programa estándar de educación física. La intervención duró ocho semanas, con tres sesiones de ejercicio por semana. Los resultados mostraron mejoras significativas en ambos grupos; sin embargo, el grupo experimental presentó mayores avances en resistencia cardiovascular, resistencia muscular, fuerza muscular y flexibilidad. Las comparaciones posteriores favorecieron significativamente al grupo experimental en dichas variables, mientras que la adherencia al ejercicio fue mayor en el grupo experimental que en el grupo control, con tasas de 90,0 % y 75,4 %, respectivamente. Estos hallazgos indican que la prescripción personalizada de ejercicio basada en IA mejora la adaptación física y la adherencia al ejercicio con mayor eficacia que un programa estándar de educación física. Su integración puede fortalecer la educación física universitaria al promover la condición física y la participación sostenida en actividad física.
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