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¿Es el potencial omega un indicador de salud y del estado funcional?
Apunts. Medicina de l'Esport 2015;50(185): 15-22
PÉREZ ARRABAL V, PARRADO ROMERO E, CAPDEVILA ORTÍS L
Apunts. Medicina de l'Esport 2015;50(185): 15-22
Resumen del Autor:
Introducción : Entre los diferentes test de valoración de la capacidad funcional del organismo que incluye el sistema Omega Wave, el test basado en la valoración del potencial omega se presenta como una prometedora herramienta para determinar la adaptación física y psicológica en deportistas. El objetivo del presente trabajo es analizar la utilidad del potencial omega comparándolo con otros indicadores psicofisiológicos ya contrastados. Método : Se llevaron a cabo 5 sesiones de laboratorio con 10 participantes sanos. En cada sesión se valoró el estado de ánimo (POMS), la percepción subjetiva de salud (SF-12) y la variabilidad de la frecuencia cardíaca (VFC), y el potencial omega a partir del sistema Omega Wave. Resultados : En relación con el análisis del potencial omega, se observa que el parámetro RP correlaciona negativamente con los parámetros SDNN, TINN, SD2, LF y HF; ReacAdapt correlaciona positivamente con LF/HF, y el parámetro Zona C correlaciona negativamente con SDNN, RMSSD, TINN, SD1, SD2 y HF. No se han encontrado correlaciones significativas con las puntuaciones del POMS ni del SF-12. Sin embargo, la escala Vitalidad correlaciona negativamente con el factor Fatiga y la Puntuación total, y positivamente con el Vigor. Del mismo modo, los parámetros SDNN, TINN, SD2, VLF, LF y HF correlacionan negativamente con el factor Fatiga y la Puntuación total del POMS, y positivamente con Vigor y Vitalidad. Conclusión : Los resultados obtenidos no permiten confirmar que el potencial omega se trate de un buen indicador para la valoración del estado funcional y de salud general de las personas. The objective of this study is to determine the relationship between injury incidence (IL) and maturity stage in male elite handball players. A prospective study was conducted during two seasons, evaluating the sports injuries, maturity status and exposure time in hours in 133 young handball players, using the UEFA methodology model for epidemiological studies. The maturity stage with different parameters is presented, as well as Tanner's stage, puberty stages, peak high velocity, testicular volume, and the bone age. Finally, 190 injuries from a total of 34,222 hours of exposure were registered. The mean total Injury Incidence (IL) by categories was 5.6 injuries/1000 hours of exposure. Injury incidence during competition: 21.8 injuries/1000 hours and in training: 3.1 injuries/1000 h, with no statistically significant differences between IL, chronological age, and different maturity stages using ANOVA. The multivariate statistical analysis showed a tendency of associations between IL in competition category ( P = .07), and the IL in training for Tanner ( P = .091) and puberty ( P = .021). In conclusion: There was a significant difference in total IL by age categories in handball players, and there was a statistically significance tendency as regards some maturity stages using multivariate analysis. This last result should be taken into account when planning training seasons and strategies for injury prevention in the context of the handball training.
Introducción : Entre los diferentes test de valoración de la capacidad funcional del organismo que incluye el sistema Omega Wave, el test basado en la valoración del potencial omega se presenta como una prometedora herramienta para determinar la adaptación física y psicológica en deportistas. El objetivo del presente trabajo es analizar la utilidad del potencial omega comparándolo con otros indicadores psicofisiológicos ya contrastados. Método : Se llevaron a cabo 5 sesiones de laboratorio con 10 participantes sanos. En cada sesión se valoró el estado de ánimo (POMS), la percepción subjetiva de salud (SF-12) y la variabilidad de la frecuencia cardíaca (VFC), y el potencial omega a partir del sistema Omega Wave. Resultados : En relación con el análisis del potencial omega, se observa que el parámetro RP correlaciona negativamente con los parámetros SDNN, TINN, SD2, LF y HF; ReacAdapt correlaciona positivamente con LF/HF, y el parámetro Zona C correlaciona negativamente con SDNN, RMSSD, TINN, SD1, SD2 y HF. No se han encontrado correlaciones significativas con las puntuaciones del POMS ni del SF-12. Sin embargo, la escala Vitalidad correlaciona negativamente con el factor Fatiga y la Puntuación total, y positivamente con el Vigor. Del mismo modo, los parámetros SDNN, TINN, SD2, VLF, LF y HF correlacionan negativamente con el factor Fatiga y la Puntuación total del POMS, y positivamente con Vigor y Vitalidad. Conclusión : Los resultados obtenidos no permiten confirmar que el potencial omega se trate de un buen indicador para la valoración del estado funcional y de salud general de las personas. The objective of this study is to determine the relationship between injury incidence (IL) and maturity stage in male elite handball players. A prospective study was conducted during two seasons, evaluating the sports injuries, maturity status and exposure time in hours in 133 young handball players, using the UEFA methodology model for epidemiological studies. The maturity stage with different parameters is presented, as well as Tanner's stage, puberty stages, peak high velocity, testicular volume, and the bone age. Finally, 190 injuries from a total of 34,222 hours of exposure were registered. The mean total Injury Incidence (IL) by categories was 5.6 injuries/1000 hours of exposure. Injury incidence during competition: 21.8 injuries/1000 hours and in training: 3.1 injuries/1000 h, with no statistically significant differences between IL, chronological age, and different maturity stages using ANOVA. The multivariate statistical analysis showed a tendency of associations between IL in competition category ( P = .07), and the IL in training for Tanner ( P = .091) and puberty ( P = .021). In conclusion: There was a significant difference in total IL by age categories in handball players, and there was a statistically significance tendency as regards some maturity stages using multivariate analysis. This last result should be taken into account when planning training seasons and strategies for injury prevention in the context of the handball training.
Introduction : Among the different tests that include the Omega Wave System for assessing the functional capacity of the body, the Potential Omega test is presented as a promising tool for the assessment of physical and psychological adaptation in athletes. The aim of this paper is to analyze the usefulness of Omega Potential compared to other psychophysiological indicators. Methods : Ten healthy volunteers underwent 5 laboratory sessions. In each session participants completed the Profile of Mood States (POMS) and the SF12 questionnaires to assess mood and self-reported health (respectively), and heart rate variability (HRV) and Omega Potential were obtained with the Omega Wave System. Results : On analysing the Potential Omega, the results show that RP index correlated positively and significantly with SDNN, TINN, SD2, LF and HF indexes of heart rate variability analysis; ReacAdapt positively correlated with LF/HF, and Zone C significantly correlated with SDNN, RMSSD, TINN, SD1, SD2 and HF. No significant correlations with POMS or SF12 scores were found. However, the Vitality scale of SF12 negatively correlated with Fatigue factor and Total score, and positively with Vigor factor. Similarly, respect to HRV analysis, SDNN, TINN, SD2, VLF, LF and HF correlated negatively with Fatigue factor and Total score of POMS, and positively with Vigor and Vitality factors. Conclusions : The results of the study do not allow us to confirm the validity of Omega Potential as a good marker of general health.
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Notas:
Palabras clave:
Autopercepción, Deportistas, Estado de ánimo, Estado de salud, Estudios en pacientes sanos, Frecuencia cardíaca, Medicina deportiva, Percepción
ID MEDES:
96446
DOI: 10.1016/j.apunts.2014.07.002 *
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