Factores que influyen sobre las actitudes hacia la participación de la mujer en el deporte

Sport through the influence of educational institutions improve the promotion of gender equity. The aim of the study was to analyze the influence of gender, area of academic formation and sports practice over the attitudes towards women's participation in sports by the student community of the Universidad Autónoma de Occidente (UAdeO). A cross-sectional study with correlational-explanatory scope was realized with 3,716 (71.3% women and 28.7% men) UAdeO students. The scale about the perception of attitudes towards women's participation in sports (AWPS) was applied. Comparisons were made according to gender, type of sport practice and area of study and regression coefficients were calculated between the sociodemographic variables and the AWPS using the method of introducing variables. The results show that the gender, sports practice, and area of study variables were significant predictors of three scales of the AWPS. Likewise, differences were observed in the AWPS factors as a function of sociodemographic variables. It is possible to conclude that the attitudes towards women's participation in sport of the participants are influenced by the variables gender, sport practice and area of studies.El deporte a través de la influencia de las instituciones educativas favorece la promoción de la equidad de género. El objetivo fue analizar la influencia del género, área de formación académica y práctica deportiva sobre las actitudes hacia la participación de las mujeres en el deporte por parte de la comunidad estudiantil de la Universidad Autónoma de Occidente (UAdeO). Se realizó un estudio transversal con alcance correlacional-explicativo en 3,716 (71.3% mujeres y 28.7% hombres) estudiantes de la UAdeO. Se aplicó la escala sobre la percepción de las actitudes hacia la participación de las mujeres en el deporte (EAPMD). Se realizaron comparaciones en función del género, tipo de práctica deportiva y área de estudios y se calcularon los coeficientes de regresión entre las variables sociodemográficas y la EAPMD. Los resultados muestran que las variables género, práctica deportiva y área de estudios fueron predictores significativos de tres escalas de la EAPMD. Asimismo, se observaron diferencias en los factores de la EAPMD en función de las variables sociodemográficas. Es posible concluir que las actitudes hacia la participación de las mujeres en el deporte de los participantes están influidas por las variables género, práctica deportiva y área de estudios

Effects of home confinement on physical activity, nutrition, and sleep quality during the COVID-19 outbreak in amateur and elite athletes

IntroductionDespite the progress in the management of the pandemic caused by COVID-19, it is necessary to continue exploring and explaining how this situation affected the athlete population around the world to improve their circumstances and reduce the negative impact of changes in their lifestyle conditions that were necessitated due to the pandemic. The aim of this study was to analyze the moderating influence of physical activity (PA) and dietary habits on the impact of the COVID-19 pandemic experience on sleep quality in elite and amateur athletes.Materials and methodsA total of 1,420 elite (40.1%) and amateur (59.9%) athletes (41% women; 59% men) from 14 different countries participated in a cross-sectional design study. Data were collected using a battery of questionnaires that identified sociodemographic data, sleep quality index, PA levels, dietary habits, and the athletes' perception of their experience during the COVID-19 pandemic. Means and standard deviations were calculated for each variable. The analysis of variances and the correlation between variables were carried out with non-parametric statistics. A simple moderation effect was calculated to analyze the interaction between PA or dietary habits on the perception of the COVID-19 experience effect on sleep quality in elite and amateur athletes.ResultsThe PA level of elite athletes was higher than amateur athletes during COVID-19 (p < 0.001). However, the PA level of both categories of athletes was lower during COVID-19 than pre-COVID-19 (p < 0.01). In addition, amateurs had a higher diet quality than elite athletes during the pandemic (p = 0.014). The perception of the COVID-19 experience as controllable was significantly higher (p = 0.020) among elite athletes. In addition, two moderating effects had significant interactions. For amateur athletes, the PA level moderated the effect of controllable COVID-19 experience on sleep quality [F(3,777) = 3.05; p = 0.028], while for elite athletes, the same effect was moderated by dietary habits [F(3,506) = 4.47, p = 0.004].ConclusionElite athletes had different lifestyle behaviors compared to amateurs during the COVID-19 lockdown. Furthermore, the relevance of maintaining high levels of PA for amateurs and good quality dietary habits by elite athletes was noted by the moderating effect that both variables had on the influence of the controllable experience during the COVID-19 pandemic on sleep quality

Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

Background: Geoeconomic variations in epidemiology, the practice of ventilation, and outcome in invasively ventilated intensive care unit (ICU) patients without acute respiratory distress syndrome (ARDS) remain unexplored. In this analysis we aim to address these gaps using individual patient data of four large observational studies. Methods: In this pooled analysis we harmonised individual patient data from the ERICC, LUNG SAFE, PRoVENT, and PRoVENT-iMiC prospective observational studies, which were conducted from June, 2011, to December, 2018, in 534 ICUs in 54 countries. We used the 2016 World Bank classification to define two geoeconomic regions: middle-income countries (MICs) and high-income countries (HICs). ARDS was defined according to the Berlin criteria. Descriptive statistics were used to compare patients in MICs versus HICs. The primary outcome was the use of low tidal volume ventilation (LTVV) for the first 3 days of mechanical ventilation. Secondary outcomes were key ventilation parameters (tidal volume size, positive end-expiratory pressure, fraction of inspired oxygen, peak pressure, plateau pressure, driving pressure, and respiratory rate), patient characteristics, the risk for and actual development of acute respiratory distress syndrome after the first day of ventilation, duration of ventilation, ICU length of stay, and ICU mortality. Findings: Of the 7608 patients included in the original studies, this analysis included 3852 patients without ARDS, of whom 2345 were from MICs and 1507 were from HICs. Patients in MICs were younger, shorter and with a slightly lower body-mass index, more often had diabetes and active cancer, but less often chronic obstructive pulmonary disease and heart failure than patients from HICs. Sequential organ failure assessment scores were similar in MICs and HICs. Use of LTVV in MICs and HICs was comparable (42·4% vs 44·2%; absolute difference -1·69 [-9·58 to 6·11] p=0·67; data available in 3174 [82%] of 3852 patients). The median applied positive end expiratory pressure was lower in MICs than in HICs (5 [IQR 5-8] vs 6 [5-8] cm H2O; p=0·0011). ICU mortality was higher in MICs than in HICs (30·5% vs 19·9%; p=0·0004; adjusted effect 16·41% [95% CI 9·52-23·52]; p<0·0001) and was inversely associated with gross domestic product (adjusted odds ratio for a US$10 000 increase per capita 0·80 [95% CI 0·75-0·86]; p<0·0001). Interpretation: Despite similar disease severity and ventilation management, ICU mortality in patients without ARDS is higher in MICs than in HICs, with a strong association with country-level economic status