Análisis de redes sociales: un estudio de caso en Educación Física / Social network analysis: a case study in Physical Education

Este estudio analiza de forma gráfica las redes sociales en una clase de educación física de un centro público de secundaria de Valencia durante la pandemia del COVID-19, a partir de las conexiones que se producen entre los alumnos. El objetivo es comprobar el estado social del aula e identificar situaciones potencialmente problemáticas en el aula, a partir del análisis de dimensiones como la interacción agradable, el apoyo emocional, el apoyo social y el coestudio. Se utilizó una metodología cuantitativa mediante un cuestionario donde los estudiantes debían responder en función de su percepción del resto de compañeros a partir de varios ítems correspondientes a dimensiones sociológicas. Se realizó un análisis de redes sociales (SNA) y se extrajeron valores numéricos y gráficos que exponían la situación social del alumnado. Se hallaron problemas de integración, derivadas de las grandes diferencias de centralidad entre los alumnos más aislados y la media de la clase, así como una gran cantidad de conexiones en la dimensión “interacción agradable” y pocas conexiones en “apoyo emocional”. Se hallaron también diferencias sustanciales de liderazgo dependiendo de la dimensión de forma que los alumnos líderes en unos ámbitos, en otros no lo eran. Por último, se encontraron diferencias entre las conexiones cara a cara y digitales, siendo mayores estas últimas. Este estudio anima a los docentes de educación física a utilizar en SNA para conocer de forma objetiva la situación social de la clase, teniendo en cuenta el gran componente social que envuelve a una sesión de esta asignatura. (AU)

This study analyzes social networks in a physical education class in a public high school in Valencia during the COVID-19 pandemic. The main objective of this paper is to check the social status of the classroom and identify potentially problematic situations in the classroom, based on the analysis of dimensions such as pleasant interaction, emotional support, social support and co-study. To do this, a quantitative methodology was used through a questionnaire where students had to respond based on their perception of the rest of their classmates from various items corresponding to sociological dimensions. From this point, a social network analysis (SNA) was carried out and numerical and graphic values were extracted that exposed the social situation of the students. Integration problems were found, derived from the great differences in centrality between the most isolated students and the average of the class, as well as a large number of connections in the dimension “pleasant interaction”, and few connections in “emotional support”. Substantial leadership differences were also found depending on the dimension, so that the student leaders in some areas were not leaders in others. Finally, differences were found between face-to-face and digital connections, the latter being greater. This study encourages physical education teachers to use SNA to objectively know the social situation of the class, taking into account the great social component that surrounds a session of this subject. (AU)

Effect of fatigue strength exercise on anterior thigh skin temperature rewarming after cold stress test.

Although dynamic thermography skin temperature assessment has been used in medical field, scientific evidence in sports is scarce. The aim of the study was to assess changes in anterior thigh skin temperature in response to a cold stress test after a strength exercise fatiguing protocol. Ten physically active adults performed a familiarization session and two strength exercise sessions, one with dominant and the other with non-dominant lower limb. Participants performed bouts of 10 concentric and eccentric contractions of leg extensions in an isokinetic device until reaching around 30% of force loss. Infrared thermographic images were taken at baseline conditions and after the fatigue level from both thighs after being cooled using a cryotherapy system. ROIs included vastus medialis, rectus femoris, adductor and vastus lateralis. Skin temperature rewarming was assessed during 180s after the cooling process obtaining the coefficients of the following equation: ΔSkin temperature = ß0 + ß1 * ln(T), being ß0 and ß1 the constant and slope coefficients, respectively, T the time elapsed following the cold stress in seconds, and ΔSkin temperature the difference between the skin temperature at T respect and the pre-cooling moment. Lower ß0 and higher ß1 were found for vastus lateralis and rectus femoris in the intervention lower limb compared with baseline conditions (p < 0.05 and ES > 0.6). Adductor only showed differences in ß0 (p = 0.01 and ES = 0.92). The regressions models obtained showed that ß0 and ß1 had a direct relationship with age and muscle mass, but an inverse relationship with the number of series performed until 30% of fatigue (R2 = 0.8). In conclusion, fatigue strength exercise results in a lower skin temperature and a faster thermal increase after a cold stress test.