There has not been much study of risk profiles in older people according to different levels of practice in physical activity. For this reason, the aim of this research was to evaluate whether the elements that influence the quality of life and factors such as gender and education can predict the level of physical activity in the physically active elderly population. The Fernández–Ballesteros quality of life questionnaire and the WHO International Physical Activity Questionnaire were applied to a sample of 397 people with a mean age of 69.65 years (SD = 4.71). The results revealed the following predictive factors of practicing a low level of physical activity (p < 0.05): being a woman; having a low educational level; and low scores in activity and leisure and in functional skills. In conclusion, gender, education, functional skills, activity and leisure, and health are elements of quality of life that predict the level of physical activity performed by the elderly, where it is necessary to use leisure activities (visiting friends, playing games, running errands) as an indirect way to increase participation in physical activity.

Objective: To analyze the association between the behavioral profile of physical activity and sedentary time with subjective well-being and mental health in university students during the COVID-19 pandemic in Chile. Methods: Cross-sectional study in a voluntary sample of 469 university students (22.4 ± 0.19 years; 66% women). According to students’ self-reports of physical activity and sedentary time, four behavioral profiles were created to investigate their association with subjective well-being and mental health using one-factor ANOVA that was adjusted to a multifactorial model. Results: The physically inactive and sedentary behavior profile presents the lowest levels of subjective well-being (p < 0.001), positive affective experiences (p < 0.001) and general mental health (p = 0.001). When adjusting for confounding variables, it was observed that the physically active and non-sedentary profile was associated with better general mental health (p < 0.01) in contrast to those who are physically active and sedentary. Conclusions: Chilean university students with a physically inactive and sedentary profile during the pandemic presented worse well-being and mental health, with a sedentary lifestyle being one of the variables that most affects the mental health of these students. Therefore, measures should be implemented to encourage this population to maintain adequate levels of physical activity and reduce sedentary times.

Few studies have shown evidence about the factors that can determine physical practice in women over 60 years of age due to educational, economic, social, or health inequalities. Its knowledge could help to understand the determinants that encourage the practice of physical activity and the improvement of health in women over 60. Therefore, the aim of this research was to evaluate the level of studies, income, and the usefulness of social and health services in physically active older women according to the level of activity they practice. The IPAQ (International Physical Activity Questionnaire) and CUBRECAVI (subjective health scale) scales have been applied to a sample of 257 women between 61 and 93 years old (M = 69.44, SD = 4.61). The results have shown that those with vigorous physical activity are related to higher levels of education (p < 0.001) and income (p = 0.004). Furthermore, being dissatisfied with social and health services is associated with low levels of physical activity (p = 0.005). Older women who perform physical activity regularly are associated with high levels in some of the socio-environmental aspects of quality of life. High physical activity is related to a higher educational level and income. Socio-environmental factors generate social inequalities and modulate the lifestyles of older women.

Objective: To analyze the relationship between anxiety, self-esteem, happiness index and primary school students’ academic performance in Chilean adolescents from the Biobío province. Methodology: 733 (46.1% girls; 12 (1.3 years)) public primary school students that completed the 2018 Health and School Performance Survey carried out in the Biobío province were included in this cross-sectional analysis. The BECK Anxiety Inventory (BAI) was used to measure anxiety while happiness index and self-esteem were measured using the subjective happiness scale and the Rosenberg self-esteem scale, respectively. School performance was measured by grade point average (GPA) of language, math, physical education and cumulative GPA, and behavior associated with cognition in the school context was also considered. The relationship between mental health indicators and school performance was investigated using a one-way ANOVA and Pearson correlation. Results: In comparison to students with low anxiety levels and high self-esteem and happiness levels, students with higher anxiety levels, lower self-esteem and happiness levels perceived themselves as having memory problems. They were also slower to solve math problems, had a shorter attention span in class and presented more difficulties in solving complex tasks, as well as being more nervous during testing. These students also got the lowest grade point average in math, language and physical education. Conclusions: High anxiety levels, low self-esteem and low happiness levels were associated with lower school performance and weaker behavior associated with cognition in Chilean adolescents. Implementing plans of emotional education and mental health could improve academic achievement.

Objetivo: Analizar si el tiempo de pantalla se relaciona con un menor rendimiento académico en escolares de segundo ciclo y determinar diferencias por sexo.Sujetos y Método: Investigación analítica, retrospectiva y transversal en 733 escolares de 5to a 8vo año básico de establecimientos educacionales públicos pertenecientes al estudio “Encuesta de salud y rendimiento escolar de la provincia del Biobío 2018” fueron reclutados. El uso de pantalla fue auto-reportado a través de horas diarias frente a televisión, videojuegos e internet. El rendimiento escolar fue medido con las calificaciones en las asignaturas de lenguaje, matemáticas, educación física, promedio general y a través de conductas asociadas a la cognición en el contexto escolar. Para determinar la relación entre tiempo de pantalla y rendimiento escolar se determinó el coeficiente de correlación de Pearson y para medir la influencia del sexo y las horas de pantalla en las notas se realizó un ANOVA de dos vías.Resultados: Los escolares pasan 6,1 ± 5,3 h frente a una pantalla diariamente. Los niños pasan más tiempo jugando videojuegos y las niñas más navegando por internet. Tanto niños como niñas que pasan mayor cantidad de horas frente a una pantalla, principalmente jugando videojuegos y navegando por internet presentaron notas más bajas en matemáticas, lenguaje, educación física, promedio general y se perciben con menos memoria, más lentos para resolver problemas matemáticos, con más dificultades para mantener la atención en clases o para resolver tareas complejas.Conclusión: El uso de pantallas se asocia negativamente con el rendimiento académico, así como en las conductas asociadas a la cognición en escolares de ambos sexos.

The factors that make physically active older people feel more satisfied in adulthood have not been extensively studied. For this reason, the aim of this work has been to evaluate, among physically active older adults, whether the level of physical activity they perform and the factors that foster their quality of life can be predictors of their satisfaction with life. For this, the IPAQ, CUBRECAVI and LSI-A scales were applied to a sample of 397 people between 61 and 93 years old (M = 69.65, SD = 4.71). The results show that health (β = 0.373), functional abilities (β = 0.159) and environmental quality (β = 0.105) are predictors of satisfaction in the most active adults. In conclusion, neither physical activity (to a greater or lesser extent) nor income are predictive variables of satisfaction with life but, rather, predict some of the components that cement their quality of life (health, fending for themselves and the home environment).