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1.
Apunts, Med. esport (Internet) ; 58(219)July - September 2023. tab, graf
Article in English | IBECS | ID: ibc-223406

ABSTRACT

One of the most widely used strategies for performance analysis in different sports is notational analysis through direct observation of technical-tactical actions, which allows to understand the main indicators of sporting performance of the players, both individually and collectively. Football goalkeepers (GKs) are involved in the game differently when compared to the rest of the players in the team and, therefore, they develop different high-level and high-intensity tactical-technical actions. Therefore, the present work aimed to analyse the different performance indicators of football GKs through a search in the following databases: Web of Science (WOS), Scopus (Elsevier), PubMed (NIH) and, SPORTDiscus (EBSCO), until February 2023. The following keywords were used: "Football" or "Soccer", "Goalkeeper" and "Performance analysis". The results show that the main performance indicators are the percentage of avoided goals, the distribution of the ball at the goal kick as well as the number of offensive and defensive actions. Therefore, training sessions should be planned and implemented aimming to improve these skills. (AU)


Una de las estrategias más utilizadas para analizar el rendimiento en diferentes modalidades deportivas, es el análisis notacional a través de la observación directa de las acciones técnico-tácticas, lo que permite conocer los principales indicadores de rendimiento deportivo de los jugadores, tanto individual como colectivamente. Los porteros de fútbol tienen una involucración en el juego diferente comparativamente al resto de los jugadores del equipo, y, por ende, desarrollan diferentes acciones táctico-técnicas de alto nivel y de alta intensidad. Por ello, el objetivo del presente trabajo fui a analizar los diferentes indicadores de rendimiento de los porteros de fútbol mediante una búsqueda en las bases de datos: Web of Science (WOS), Scopus (Elsevier), PubMed (NIH) y SPORTDiscus (EBSCO), hasta febrero del 2023. Para ello, se emplearon las siguientes palabras claves, “Football” o “Soccer”, “Goalkeeper” y “Performance analysis”. Los resultados muestran como los principales indicadores de rendimiento son el porcentaje de goles evitados, la distribución del balón en el saque de portería, así como el número de acciones ofensivas y defensivas. Por tanto, se deben planificar e implementar sesiones de entrenamiento para la mejora de dichas habilidades. (AU)


Subject(s)
Humans , Soccer , Sports/statistics & numerical data , 34600
2.
Rev. psicol. deport ; 32(1): 228-240, May 3, 2023. ilus, tab, graf
Article in English | IBECS | ID: ibc-225022

ABSTRACT

Sports play a crucial role in enhancing the tourism industry of a country. In this respect, sports-related personnel are indispensable. Determining the impact of HRM, training, and employee well-being on employee engagement and organizational citizenship was the primary objective of this study. This study also evaluated employee commitment's role as a mediator. Data were obtained from Bahraini employees participating in football activities for this purpose. The respondents provided the information by completing questionnaires. The survey was disseminated to Bahraini employees who participated in football athletics. The valid response rate for the investigation was 73.62 percent. The gathered data were analyzed using SEM and the cutting-edge PLS 3.3.9 application. The study's findings indicate that HRM practices, training, and well-being positively affect employee commitment. Additionally, employee commitment positively affects organizational citizenship behavior. However, this research supports the mediating effect of employee dedication. These findings are useful for future academic study and football decision-makers in Bahrain regarding relevant HR policies.(AU)


Subject(s)
Humans , Sports/statistics & numerical data , 51675/statistics & numerical data , Personnel Management , Work Engagement , Surveys and Questionnaires
3.
J Am Coll Health ; 71(5): 1522-1529, 2023 07.
Article in English | MEDLINE | ID: mdl-34242543

ABSTRACT

OBJECTIVE: Extreme sport participation and injury rates have increased in recent decades. This study aimed to investigate sub-dimensions of impulsivity and sensation seeking that contribute to participation and injury risk in extreme sports. PARTICIPANTS: Data included cross-sectional survey responses from 7,109 college students (Mage = 19.68, SD = 2.31). METHODS: This study utilized path analysis to investigate sub-dimensions of sensation seeking and impulsivity as predictors of extreme sport participation and injury across 3 models. RESULTS: Results of the final model identify risk seeking and lack of perseverance as the two strongest predictors of extreme sports injury, risk seeking, experience seeking, and lack of premeditation as the strongest positive predictors of extreme sports participation, and lack of perseverance as the strongest negative predictor of extreme sports participation. CONCLUSIONS: These results will contribute to targeted prevention and intervention efforts for extreme sports injury among young adults based on identified individual personality factors.


Subject(s)
Athletic Injuries , Impulsive Behavior , Risk-Taking , Sports , Humans , Young Adult , Athletic Injuries/epidemiology , Cross-Sectional Studies , Sensation , Students/psychology , Students/statistics & numerical data , Universities , Sports/psychology , Sports/statistics & numerical data , Male , Female , Personality , Models, Statistical
4.
J Sport Health Sci ; 12(5): 592-605, 2023 09.
Article in English | MEDLINE | ID: mdl-32439502

ABSTRACT

BACKGROUND: Understanding factors influencing adolescents' sport/exercise participation (S/EP) is vital to developing effective interventions, but currently, evidence from less developed countries is limited. The purpose of this study was to examine correlates of S/EP across individual, interpersonal, and environmental levels in a nationally representative sample of Thai adolescents. METHODS: Data from 4617 Thai adolescents aged 14-17 years old were obtained from recruited schools across Thailand. Data on S/EP (outcome variable), and psychosocial, home, and community environment covariates were collected from individual adolescents using the Thailand Physical Activity Children Survey, Student Questionnaire. School environmental data were collected at the school level using a School Built Environment Audit. Hierarchical regressions taking into account school clustering effects were applied for data analysis. RESULTS: At the individual level, age and body mass index were independently and strongly correlated with S/EP. Adolescents with high preference for physical activity (PA) (odd ratio (OR) = 1.71, p < 0.001) and at least a moderate level of self-efficacy (OR = 1.33, p = 0.001) were more likely to have high S/EP. At the interpersonal level, adolescents whose parents joined their sports/exercise at least 1-2 times/week (OR = 1.36, p = 0.003) received ≥3 types of parental support (OR = 1.43, p = 0.005) and who received siblings' (OR = 1.26, p = 0.004) and friends' (OR = 1.99, p < 0.001) support had a greater chance of high S/EP. At the environmental level, adolescents' S/EP was greater when there were at least 3-4 pieces of home sport/exercise equipment (OR = 2.77, p = 0.003), grass areas at school (OR = 1.56, p < 0.001), and at least 1-2 PA facilities in the community (OR = 1.30, p = 0.009). CONCLUSION: Multiple factors at different levels within an ecological framework influencing Thai adolescents' S/EP were generally similar to those found in developed countries, despite some differences. For those interested in promoting and supporting Thai adolescents' engagement in sports/exercise, further exploration of the influence of self-efficacy and attitude toward PA is required at the individual level; parental and peer support at the interpersonal level; and home sport equipment, school grass areas, and neighborhood PA facilities at the environment level.


Subject(s)
Exercise , Southeast Asian People , Sports , Adolescent , Humans , Cross-Sectional Studies , Exercise/psychology , Exercise/statistics & numerical data , Sports/psychology , Sports/statistics & numerical data , Thailand
5.
Arch. pediatr. Urug ; 94(2): e211, 2023. tab
Article in Spanish | LILACS, UY-BNMED, BNUY | ID: biblio-1520111

ABSTRACT

Introducción: lograr la interacción entre los equipos de salud y la educación, es fundamental para generar futuras generaciones con conocimientos y destrezas que les permitan cuidar su salud, la de sus familias y comunidades. Durante la edad escolar se desarrollan gran parte de las preferencias, costumbres y estilos personales. Objetivo: conocer los hábitos, conductas y prácticas de las niñas, niños y adolescentes de quinto y sexto año de tres instituciones educativas públicas y tres privadas de Montevideo para realizar un diagnóstico de situación que permita planificar una intervención posterior. Material y método: estudio descriptivo, observacional y transversal entre octubre y diciembre 2017. Se aplicó una encuesta anónima a escolares de quinto y sexto año de tres instituciones públicas y tres privadas de los barrios Paso de la Arena, Prado y Colón. Se solicitó consentimiento informado y autorización al comité de investigación institucional. Se utilizaron frecuencias absolutas y porcentajes. Resultados: participaron 331 escolares, 73,1% del sector público y el 26,9% del privado. En la merienda escolar, 46% consume merienda casera y 75% comprada. El 53% no consume alimentos UP en el recreo. En el hogar un 50% come frutas y un 35% come verduras todos los días, un 64,3% consume carne UP hasta 3 veces por semana. Si bien un 48,3% refiere correr todos los días, casi cuatro de cada diez nunca bailan, patinan o andan en bicicleta y dos de cada diez nunca practican deportes. El 65% destina más de 2 horas a las pantallas, 2 de cada 10 duermen menos de 6 horas y más del 50% usan el celular o miran televisión antes de dormir. Se encontraron diferencias entre el sector público y privado en la merienda casera, consumo de UP, carne y agua. Conclusiones: se realizó un diagnóstico de los hábitos, conductas y prácticas de los escolares de esas 3 zonas que permitió elegir los temas prioritarios de salud para trabajar con esas escuelas. La situación es inquietante y debe trabajarse con celeridad a nivel interinstitucional generando cambios en los hábitos de vida de los escolares, sus familias y la comunidad. Se determinó un punto de partida para poder evaluar y medir el impacto de las acciones.


Introduction: promoting interaction between health and educational teams is essential to build the necessary skills and knowledge in future generations that would enable them to take care of their health, their families' and their communities'. Most preferences, habits and personal styles are developed at school age. Objective: to get to know the habits, behaviors and practices of children and adolescents of fifth and sixth grade attending three public and three private educational institutions in Montevideo and make a diagnosis of the situation to able to plan a subsequent intervention. Material and Methods: descriptive, observational and crosssectional study between October and December 2017. An anonymous survey was applied to fifth and sixth grade students from three public and three private institutions in the Paso de la Arena, Prado and Colón neighborhoods. Informed consent and authorization were obtained from the institutional research committee. Absolute frequencies and percentages were used. Results: 331 school children participated, 73.1% from the public sector and 26.9% from the private sector. Regarding school snacks, 46% of them consume homemade snacks and 75% consume processed snacks. 53% do not consume food during recess. At home 50% eat fruits and 35% eat vegetables every day, 64.3% consume UP meat up to 3 times a week. While 48.3% report running every day, almost four out of ten have never danced, skated or ridden a bike and two out of ten have never played sports. 65% spend more than 2 hours watching screens, 2 out of 10 sleep less than 6 hours and more than 50% use the cell phone or watch television before bed. We found significant differences between the public and private sectors regarding homemade snacking, meat and water consumption. Conclusions: we carried out a diagnosis of the habits, behaviors and practices of schoolchildren in these 3 areas, which enabled us to choose priority health topics to work with these schools. The situation is disturbing and it must be addressed quickly at interinstitutional level in order to generate changes in the schoolchildren habits, their families and their communities. We have set up a starting point in order be able to evaluate and measure the impact of actions taken.


Introdução: alcançar a interação entre as equipes de saúde e de educação é essencial para gerar conhecimentos e habilidades nas gerações futuras que lhes permitam cuidar de sua saúde, a de sua família e a de suas comunidades. A maior parte das preferências, costumes e estilos pessoais são desenvolvidos durante a idade escolar. Objetivo: conhecer os hábitos, comportamentos e práticas de crianças e adolescentes do quinto e sexto ano de ensino fundamental de três instituições de ensino público e três de ensino privado de Montevidéu para fazer um diagnóstico da situação que permita planejar uma intervenção posterior. Material e Métodos: estudo descritivo, observacional e transversal entre outubro e dezembro de 2017. Uma pesquisa anónima foi aplicada a alunos do quinto e sexto ano do ensino fundamental de três instituições públicas e três privadas dos bairros Paso de la Arena, Prado e Colón. Consentimento informado e autorização foram solicitados ao comitê de pesquisa da instituição. Foram utilizadas frequências absolutas e porcentagens. Resultados: participaram 331 escolares, sendo 73,1% do setor público e 26,9% do setor privado. Na merenda escolar, 46% consomem lanche caseiro e 75% compram. 53% não consomem alimentos UP no recreio. Em casa 50% comem frutas e 35% comem vegetais todos os dias, 64,3% consomem carne UP até 3 vezes por semana. Enquanto 48,3% relatam correr todos os dias, quase quatro em cada dez nunca dançam, patinam ou andam de bicicleta e dois em cada dez nunca praticam esportes. 65% passam mais de 2 horas assistindo a telas de computador ou telefones, 2 em cada 10 dormem menos de 6 horas e mais de 50% usam o celular ou assistem à televisão antes de dormir. Foram encontradas diferenças entre os setores público e privado no consumo de lanches caseiros, UP, carne e água. Conclusões: um diagnóstico dos hábitos, comportamentos e práticas dos escolares das 3 zonas que permitiram escolher os temas prioritários de saúde para trabalhar com estas escolas. A situação é preocupante e deve ser trabalhada rapidamente no nível interinstitucional, com o fim de gerar mudanças nos hábitos de vida dos escolares, de suas famílias e da comunidade. Determinouse um ponto de partida para poder avaliar e mensurar o impacto das ações realizadas.


Subject(s)
Humans , Male , Female , Child , Adolescent , Health Behavior , Child Behavior , Adolescent Behavior , Sleep , Sports/statistics & numerical data , Uruguay , Cross-Sectional Studies , Feeding Behavior , Sedentary Behavior , Screen Time
6.
Subst Use Misuse ; 57(13): 1893-1903, 2022.
Article in English | MEDLINE | ID: mdl-36127772

ABSTRACT

Background: Understanding time trends in risk factors for substance use may contextualize and explain differing time trends in substance use. Methods: We examined data (N = 536,291; grades 8/10/12) from Monitoring the Future, years 1991-2019. Using Latent Profile Analyses, we identified six time use patterns: one for those working at a paid job and the other five defined by levels of socialization (low/high) and engagement in structured activities like sports (engaged/disengaged), with the high social/engaged group split further by levels of unsupervised social activities. We tested associations between time use profiles and past two-week binge drinking as well as past-month alcohol use, cigarette use, cannabis use, other substance use, and vaping. We examined trends and group differences overall and by decade (or for vaping outcomes, year). Results: Prevalence of most substance use outcomes decreased over time among all groups. Cannabis use increased, with the largest increase in the group engaged in paid employment. Vaping substantially increased, with the highest nicotine vaping increase in the high social/engaged group with less supervision and the highest cannabis vaping increase in the highly social but otherwise disengaged group. Substance use was lowest in the low social groups, highest in the high social and employed groups. Conclusions: While alcohol, cigarette, and other substance use have declined for all groups, use remained elevated given high levels of social time, especially with low engagement in structured activities or low supervision, or paid employment. Cannabis use and vaping are increasing across groups, suggesting the need for enhanced public health measures.


Subject(s)
Alcohol Drinking , Cigarette Smoking , Employment , Leisure Activities , Social Participation , Substance-Related Disorders , Adolescent , Humans , Adolescent Behavior , Substance-Related Disorders/epidemiology , Vaping/epidemiology , Time Factors , Risk Factors , Employment/statistics & numerical data , Sports/statistics & numerical data , Binge Drinking/epidemiology , Marijuana Use/epidemiology , Cigarette Smoking/epidemiology , Alcohol Drinking/epidemiology
7.
Apunts, Med. esport (Internet) ; 57(215): 100381, July - September 2022. graf, tab
Article in English | IBECS | ID: ibc-207609

ABSTRACT

This study examined the association between different methods for training load (TL) monitoring during youth handball training. Distance covered, heart rate and session rating of perceived exertion [SRPE] were recorded during 12 training sessions in 14 youth women handball athletes (16.9±1.1 years). Internal load models based on SRPE and Edwards’ Trimp were calculated. An oscillatory feature was observed for the three methods of TL assessment (SRPE: 383±159 A.U., Edwards’ Trimp: 252±71 A.U., total distance: 3997±1291 m). A large correlation was found between Edwards’ Trimp and distance covered (r=0.59). A moderate correlation was observed for Edwards’ Trimp vs. SRPE (r=0.36), and between SRPE vs. distance covered (r=0.49). Shared variances of 13–35% were observed between TL methods comparisons. The results suggest that different constructs seem to be measured by each load model. Additionally, SRPE is a simple and low-cost method that might be used for TL monitoring in handball. (AU)


Subject(s)
Humans , Female , Adolescent , Sports/statistics & numerical data , Athletic Performance , Cardiac Volume , Exercise Test/methods
8.
J Athl Train ; 57(11-12): 1030-1038, 2022 Nov 01.
Article in English | MEDLINE | ID: mdl-35271730

ABSTRACT

CONTEXT: Continued monitoring of ankle sprain rates and distributions is needed to assess temporal patterns and gauge how changes in incidence may be associated with prevention efforts. OBJECTIVE: To describe the epidemiology of ankle sprains in 16 US high school sports during the 2011-2012 to 2018-2019 school years. DESIGN: Descriptive epidemiology study. SETTING: Online injury surveillance from high school sports. PATIENTS OR OTHER PARTICIPANTS: High school athletes who participated in practices and competitions during the 2011-2012 to 2018-2019 school years. MAIN OUTCOME MEASURE(S): A convenience sample of high school athletic trainers provided injury and athlete-exposure (AE) data to the National High School Sports-Related Injury Surveillance Study (data provided by High School Reporting Information Online [HS RIO]). Ankle sprain rates per 10 000 AEs with 95% CIs and distributions were calculated. Yearly rates were examined overall and by event type, injury mechanism, and recurrence. RESULTS: Overall, 9320 ankle sprains were reported (overall rate = 2.95/10 000 AEs; 95% CI = 2.89, 3.01). The highest sport-specific rates were reported in girls' basketball (5.32/10 000 AEs), boys' basketball (5.13/10 000 AEs), girls' soccer (4.96/10 000 AEs), and boys' football (4.55/10 000 AEs). Most ankle sprains occurred during competition (54.3%) and were due to contact with another person (39.5%) or noncontact (35.0%). Also, 14.5% of injuries were recurrent. Across the included academic years, ankle sprain rates generally increased. Compared with the 2011-2012 academic year, rates in the 2018-2019 academic year overall were 22% higher; noncontact-related and recurrent ankle sprain rates also generally increased by 91% and 29%, respectively. CONCLUSIONS: Time trends suggested that ankle sprain rates have increased across the past decade, particularly among those with noncontact-related mechanisms, contrasting with previous research that indicated decreases in incidence. These findings may pinpoint specific etiologic factors that should direct prevention efforts, including considering both person-contact and noncontact mechanisms by mitigating illegal contact through rule changes and enforcement, as well as bracing and proprioceptive and balance-training programs.


Subject(s)
Ankle Injuries , Athletic Injuries , Female , Humans , Male , Ankle Injuries/epidemiology , Athletic Injuries/epidemiology , Incidence , United States/epidemiology , Sports/statistics & numerical data , Schools
9.
JAMA Netw Open ; 5(2): e2147805, 2022 02 01.
Article in English | MEDLINE | ID: mdl-35138397

ABSTRACT

Importance: The COVID-19 pandemic initially led to the abrupt shutdown of collegiate athletics until guidelines were established for a safe return to play for student athletes. Currently, no literature exists that examines the difference in SARS-CoV-2 test positivity between student athletes and nonathletes at universities across the country. Objective: To identify the difference in risk of COVID-19 infection between student athlete and nonathlete student populations and evaluate the hypothesis that student athletes may display increased SARS-CoV-2 test positivity associated with increased travel, competition, and testing compared with nonathletes at their respective universities. Design, Setting, and Participants: In this cross-sectional analysis, a search of publicly available official university COVID-19 dashboards and press releases was performed for all 65 Power 5 National Collegiate Athletic Association (NCAA) Division I institutions during the 2020 to 2021 academic year. Data were analyzed at the conclusion of the academic year. Schools that released at least 4 months of testing data, including the fall 2020 football season, for student athletes and nonathlete students were included in the analysis. Power 5 NCAA Division I student athletes and their nonathlete student counterparts were included in the analysis. Exposure: Designation as a varsity student athlete. Main Outcomes and Measures: The main outcome was SARS-CoV-2 test positivity for student athletes and nonathlete students at the included institutions for the 2020 to 2021 academic year, measured as a relative risk for student athletes. Results: Among 12 schools with sufficient data available included in the final analysis, 555 372 student athlete tests and 3 482 845 nonathlete student tests were performed. There were 9 schools with decreased test positivity in student athletes compared with nonathlete students (University of Arkansas: 0.01% vs 3.52%; University of Minnesota: 0.63% vs 5.96%; Penn State University: 0.74% vs 6.58%; Clemson University: 0.40% vs 1.88%; University of Louisville: 0.75% vs 3.05%; Purdue University: 0.79% vs 2.97%; University of Michigan: 0.40% vs 1.12%; University of Illinois: 0.17% vs 0.40%; University of Virginia: 0.64% vs 1.04%) (P < .001 for each). The median (range) test positivity in these 9 schools was 0.46% (0.01%-0.79%) for student athletes and 1.04% (0.40%-6.58%) for nonathlete students. In 1 school, test positivity was increased in the student athlete group (Stanford University: 0.20% vs 0.05%; P < .001). Overall, there were 2425 positive tests (0.44%) among student athletes and 30 567 positive tests (0.88%) among nonathlete students, for a relative risk of 0.50 (95% CI, 0.48-0.52; P < .001). There was no statistically significant difference in student athlete test positivity between included schools; however, test positivity among nonathlete students varied considerably between institutions, ranging from 133 of 271 862 tests (0.05%) at Stanford University to 2129 of 32 336 tests (6.58%) at Penn State University. Conclusions and Relevance: This study found that in the setting of SARS-CoV-2 transmission mitigation protocols implemented by the NCAA, participation in intercollegiate athletics was not associated with increased SARS-CoV-2 test positivity. This finding suggests that collegiate athletics may be held without an associated increased risk of infection among student athletes.


Subject(s)
Athletes/statistics & numerical data , COVID-19/epidemiology , SARS-CoV-2/pathogenicity , Sports/statistics & numerical data , Students/statistics & numerical data , Adult , Cross-Sectional Studies , Female , Humans , Male , United States/epidemiology , Universities/statistics & numerical data , Young Adult
10.
J Athl Train ; 57(2): 140-147, 2022 Feb 01.
Article in English | MEDLINE | ID: mdl-34329451

ABSTRACT

CONTEXT: Where a person lives can have a significant effect on health. Limited access to health care, food insecurity, lack of affordable housing, and violence increase a person's likelihood of poor health. Athletic trainers (ATs) can contribute to identifying and improving the determinants of health that affect student-athletes. OBJECTIVES: (1) What were the current perceptions ATs had about the health behaviors (specifically mental health and substance use) of high school student-athletes? (2) What were the barriers that ATs experienced when providing health services to high school student-athletes? (3) How did the developed environment affect the health behaviors and barriers that ATs observed? DESIGN: Qualitative study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: Certified National Athletic Trainers' Association members employed in the secondary school setting. MAIN OUTCOME MEASURE(S): Demographics of ATs were collected, and the ATs' perceptions of the health of student-athletes across developed environments, prevalence of mental health issues, tobacco and substance use, barriers to health care services, and housing and food insecurities among student-athletes were surveyed. Descriptive statistics for the outcome measures were reported. RESULTS: A total of 7600 electronic surveys were distributed to the ATs and 911 responded (females = 62%, average age = 36 years, average experience = 12.5 years). The school setting was identified by 82.5% as public and the environment as suburban by 43.7%, rural by 30.1%, and urban by 26.1%. Participants perceived a high average prevalence of mental health concerns (32%), e-cigarette use (31.7%), and marijuana use (26.9%) among student-athletes. Significant perceived barriers to health included limited access to transportation, poverty, and housing and food insecurities. CONCLUSIONS: This study highlights the health disparities and barriers ATs observed when addressing the health care needs of student-athletes. Understanding the determinants of health in order to identify the causes of health disparities may better prepare ATs to manage the health needs of underserved student-athletes.


Subject(s)
Athletes , Mental Health , Schools , Social Determinants of Health , Sports , Substance-Related Disorders , Adolescent Health/statistics & numerical data , Adult , Athletes/psychology , Athletes/statistics & numerical data , Female , Humans , Male , Mental Health/statistics & numerical data , Prevalence , Qualitative Research , Schools/statistics & numerical data , Social Determinants of Health/statistics & numerical data , Sports/psychology , Sports/statistics & numerical data , Students , Substance-Related Disorders/epidemiology , Substance-Related Disorders/psychology , Surveys and Questionnaires
12.
Pediatr. aten. prim ; 23(92): 375-381, oct.- dic. 2021. graf
Article in Spanish | IBECS | ID: ibc-222892

ABSTRACT

Introducción: la epidemia de la enfermedad por coronavirus 2019 ha obligado a implementar diferentes medidas para mitigar el impacto de un aumento inevitable de casos de COVID-19, como fue el cierre de los colegios. A su reapertura, dado que la actividad deportiva en la infancia y adolescencia es clave para su óptimo desarrollo, nos planteamos: ¿son seguras las actividades extraescolares deportivas en tiempos de COVID? Material y métodos: estudio observacional descriptivo longitudinal. Se siguió a 717 escolares deportistas y monitores de una asociación deportiva municipal que participaron en alguna de las actividades deportivas ofrecidas durante el periodo de septiembre a diciembre del año 2020. Ante un caso positivo, se contactó con la familia, cumplimentando la hoja de recogida de datos y realizando seguimiento de los menores. Resultados: de los 679 escolares deportistas y 38 adultos monitores estudiados, únicamente se registró un caso de infección por virus SARS-CoV-2. El caso fue un jugador de baloncesto de 13 años por un contacto familiar, la sintomatología fue leve y tanto él como su grupo de convivencia estable mantuvieron 10 días de cuarentena sin aparición de nuevos casos positivos. Conclusiones: nuestros resultados indican que si la práctica deportiva se realiza en grupos controlados, en medios optimizados y respetando las normas sanitarias, pueden ser espacios seguros para nuestra población pediátrica, con una baja tasa de transmisión del virus SARS-CoV-2. No hemos observado ningún brote en nuestra muestra habiendo implantado las medidas preventivas oportunas y siendo los niños excelentes cumplidores de las mismas. No obstante, es importante disponer de un registro preciso del alumnado existente para el rastreo de contactos e incidir tanto en las medidas generales de prevención como en las específicas para actividades deportivas para minimizar los riesgos (AU)


Introduction: the coronavirus disease 2019 pandemic has compelled the implementation of various measures to mitigate the impact of an inevitable increase in COVID-19 cases, such as the closure of schools. Upon their reopening, given that physical activity in childhood and adolescence is crucial for optimal development, we considered whether extracurricular athletic activities are safe in the COVID age. Material and methods: we conducted a longitudinal, observational and descriptive study. We followed up 717 students and instructors from a municipal sports organization that participated in sports activities offered between September and December 2020. When a positive case was identified, the staff contacted the family, filling in the data collection form and monitoring the students. Results: there was only 1 detected case SARS-CoV-2 infection among the 679 students and 38 adult instructors included in the study. It occurred in an adolescent aged 13 years that played basketball and acquired the infection from a family member and developed mild symptoms; both the boy and the peers in his consistent contact group were quarantined for 10 days without identification of additional cases. Discussion: our results suggests that if athletic activities are carried out in controlled groups in optimised environments and adhering to health standards, sports facilities can be safe spaces for the paediatric population with a low SARS-CoV-2 transmission rate. We did not identify any outbreaks in the sample, having implemented the appropriate preventive measures and verified strict adherence by the students. Nevertheless, it is important to keep accurate records of current students for contact tracing and to guide the implementation of preventive measures, both general and specific to particular sports activities, with the aim of minimising risk (AU)


Subject(s)
Humans , Child, Preschool , Child , Adolescent , Young Adult , Sports/statistics & numerical data , Coronavirus Infections/epidemiology , Pandemics , Longitudinal Studies , Prospective Studies , Spain/epidemiology
13.
Pensar mov ; 19(2)dic. 2021.
Article in Portuguese | SaludCR, LILACS | ID: biblio-1386764

ABSTRACT

Resumo Petroni de Senzi Barreira, C., da Silva Musa, V. e Pereira Morato, M. (2021). Eficácia dos sistemas defensivos em superioridade e igualdade numérica no handebol: panorama de uma competição europeia. PENSAR EN MOVIMIENTO: Revista de Ciencias del Ejercicio y la Salud, 19(2), 1-13. As ações e escolhas realizadas durante a fase defensiva no handebol podem ser determinantes para os resultados das partidas. Análises abordando essa fase do jogo vêm sendo realizadas para identificar aspectos determinantes e que possam auxiliar no planejamento e treinamentos das equipes. Este estudo teve como objetivo analisar a influência das relações numéricas nos sistemas defensivos fechados e abertos no handebol de alto nível. Para isso foram analisados 12 jogos do campeonato europeu de handebol de clubes, cujo instrumento de análise permitiu identificar a relação numérica do jogo (superioridade ou igualdade numérica defensiva) e quantificar os resultados (GO: gol; NG: não-gol; PP: perda de posse da bola) e os locais em que se encerraram as ações ofensivas. Foi utilizado o teste qui-quadrado para análise dos dados. Os resultados apontaram semelhanças para a conclusão do ataque mediante situações de igualdade com a utilização dos sistemas fechados (GO = 47.3%; NG = 33.6%; PP = 19.1%) e dos sistemas abertos (GO = 46.0%; NG = 34.3%; PP = 19.7%). Para essa situação, demonstrou-se que a utilização dos sistemas fechados provoca o encerramento da posse mais distante do gol (9m- = 56.9%; 9m+ = 43.1%), quando comparado à utilização dos sistemas abertos (9m- = 64.5%; 9m+ = 35.5%). Em situações de superioridade numérica defensiva a utilização dos sistemas abertos (GO = 28.6%; NG = 53.6%; PP = 17.9%), quando comparados aos sistemas fechados (GO = 49.3%; NG = 29.6%; PP = 21.1%), apresentou maior eficácia nos resultados das ações. Além disso, as sequências se encerraram mais distantes do gol quando foram utilizados sistemas abertos (9m- = 42.9%; 9m+ = 57.1%) em comparação aos sistemas fechados (9m- = 68.3%; 9m+ = 31.7%). Conclui-se que a escolha do sistema defensivo deve ser pautada no modelo de jogo da equipe e nas relações recorrentes do jogo, nos momentos de igualdade numérica (mais frequentes). Porém, em momentos de vantagem numérica defensiva limitar o espaço e o tempo para que os atacantes tomem decisões mostra-se como uma estratégia eficaz.


Abstract Petroni de Senzi Barreira, C., da Silva Musa, V. & Pereira Morato, M. (2021). Efficiency of handball defensive systems in numerical equality and superiority: panorama of a european competition. PENSAR EN MOVIMIENTO: Revista de Ciencias del Ejercicio y la Salud, 19(2), 1-13. Actions taken during the defensive phase in handball can determine match results; therefore, analyzing this phase helps identify key aspects that can assist in team training and planning. The aim of this paper was to analyze the influence of numerical relations on closed and open defense systems in top level handball matches. Twelve matches of the European handball club championship were analyzed, which allowed us to identify the numerical relationship of the game (defensive superiority or equality) and quantify results (GO: goal; NG: non-goal; PP: loss of ball possession) and the sections of the court where offensive actions ended up. A chi-squared test was used for data analysis. Results showed similarities in terms of the attack's conclusion in numerical equality situations, when defense used closed systems (GO = 47.3%; NG = 33.6%; PP = 19.1%) and open systems (GO = 46.0%; NG = 34.3%; PP = 19.7%). For this situation, using closed systems results in losing ball possession further from the goal (9m- = 56.9%; 9m+ = 43.1%), when compared to open systems (9m- = 64.5%; 9m+ = 35.5%). In defensive numerical superiority, using open systems (GO = 28.6%; NG = 53.6%; PP = 17.9%), compared to closed systems (GO = 49.3%; NG = 29.6%; PP = 21.1%) gives more efficient results. In addition, sequences end further from the goal when open systems were used (9m- = 42.9%; 9m+ = 57.1%), compared to closed systems (9m- = 68.3%; 9m+ = 31.7%). It was concluded that the selection of the defensive system should be based on the team's game model and game relationships, especially in situations of numerical equality (more frequent). However, when in defensive numerical advantage, limiting the space and time for attackers to make decisions seems to be an effective strategy.


Resumen Petroni de Senzi Barreira, C., da Silva Musa, V. y Pereira Morato, M. (2021). Eficacia de los sistemas defensivos en superioridad e igualdad numérica en balonmano: panorama de una competición europea. PENSAR EN MOVIMIENTO: Revista de Ciencias del Ejercicio y la Salud, 19(2), 1-13. Las acciones realizadas durante la fase defensiva en balonmano pueden ser determinantes para los resultados de los partidos, y los análisis en esta fase permiten identificar aspectos clave que pueden ayudar en la planificación y entrenamiento de los equipos. El objetivo de este trabajo fue analizar la influencia de las relaciones numéricas en sistemas defensivos cerrados y abiertos en partidos de balonmano de alto nivel. Se analizaron doce partidos del Campeonato de Europa de clubes de Balonmano, cuyo instrumento de análisis permitió identificar la relación numérica del juego (superioridad defensiva o igualdad) y cuantificar los resultados (GO: gol; NG: sin gol; PP: perdida del balón) y regiones de la cancha en las que terminaron las acciones ofensivas. Se utilizó la chi-cuadrado para el análisis de datos. Los resultados mostraron similitudes para la realización del ataque a través de situaciones de igualdad con el uso de sistemas cerrados (GO = 47.3%; NG = 33.6%; PP = 19.1%) y sistemas abiertos (GO = 46.0%; NG = 34.3%; PP = 19.7%). Para esta situación, se demostró que el uso de sistemas cerrados provoca la pérdida del balón más lejos de la portería (9m- = 56.9%; 9m + = 43.1%), cuando se compara con el uso de sistemas abiertos (9m- = 64.5%; 9m + = 35.5%). En superioridad numérica defensiva, el uso de sistemas abiertos (GO = 28.6%; NG = 53.6%; PP = 17.9%), en comparación con sistemas cerrados (GO = 49.3%; NG = 29.6%; PP = 21.1 %), mostró mayor efectividad en los resultados de las acciones. Además, las secuencias terminaron más lejos del objetivo cuando se utilizaron sistemas abiertos (9m- = 42.9%; 9m+ = 57.1%), en comparación con sistemas cerrados (9m- = 68.3%; 9m+ = 31.7%). Se concluyó que la elección del sistema defensivo debe basarse en el modelo de juego del equipo y en las relaciones recurrentes del juego, especialmente en situaciones de igualdad numérica (más frecuentes). Sin embargo, cuando se tiene una ventaja numérica defensiva, limitar el espacio y el tiempo para que los atacantes tomen decisiones parece ser una estrategia eficaz.


Subject(s)
Humans , Sports/statistics & numerical data , Europe
14.
Nutrients ; 13(11)2021 Oct 20.
Article in English | MEDLINE | ID: mdl-34835926

ABSTRACT

Previous research indicates that dietary habits may differ between athletes of different sports. In this cross-sectional study, we hypothesize meal frequency, food choices, and food preferences will significantly differ between contact types. The participants were athletes (n = 92; men: n = 57, body fat percent (BF%): 14.8 ± 8.4%, body mass index (BMI): 25.5 ± 5.5 kg·m-2; women: n = 36, BF%: 26.7 ± 7.3%, BMI: 22.3 ± 2.7 kg·m-2) from high-contact (HCS), low-contact (LCS), and non-contact (NCS) sports. Meal frequency, food preference, and food choice questionnaires assessed factors influencing dietary habits. Dual-energy X-ray absorptiometry (DXA) measured lean body mass, fat mass, and body fat. A GLM multivariate analysis was used with significance accepted at p < 0.05. Significant body composition differences were observed between genders (p < 0.001) and among sports (p < 0.001). Dinner (83.7%), lunch (67.4%), and breakfast (55.4%) were the most frequently eaten meals, followed by evening snack (17.8%), afternoon snack (15.2%), and morning snack (8.7%). Greater preferences for starches were observed for HCS (p = 0.04; η2 = 0.07) and for a greater preference for vegetables was found for NCS (p = 0.02; η2 = 0.09). Significant differences also existed in the importance of health (p = 0.04; η2 = 0.07), weight control (p = 0.05; η2 = 0.11), natural content (p = 0.04; η2 = 0.07), and price (p = 0.04; η2 = 0.07). These results support our hypothesis that food choices and food preferences differ between contact types. This may help sports dieticians create more individualized nutrition programs.


Subject(s)
Athletes/psychology , Diet/psychology , Food Preferences/psychology , Meals/psychology , Sports/psychology , Absorptiometry, Photon , Adipose Tissue , Adult , Athletes/statistics & numerical data , Body Composition , Body Mass Index , Choice Behavior , Cross-Sectional Studies , Diet/statistics & numerical data , Diet Surveys , Female , Humans , Male , Multivariate Analysis , Seasons , Sex Factors , Sports/statistics & numerical data , Universities , Young Adult
15.
Nutrients ; 13(11)2021 Nov 15.
Article in English | MEDLINE | ID: mdl-34836328

ABSTRACT

There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individualizing hydration strategies. This study aimed to evaluate and characterize the hydration status and fluid balance characteristics of high-performance adolescent athletes and examine the differences in fluid consumption behaviors during training. In total, 105 high-performance adolescent athletes (male: 66, female: 39; age 14.1 ± 1.0 y) across 11 sports had their hydration status assessed on three separate occasions-upon rising and before a low and a high-intensity training session (pre-training). The results showed that 20-44% of athletes were identified as hypohydrated, with 21-44% and 15-34% of athletes commencing low- and high-intensity training in a hypohydrated state, respectively. Linear mixed model (LMM) analyses revealed that athletes who were hypohydrated consumed more fluid (F (1.183.85)) = 5.91, (p = 0.016). Additional K-means cluster analyses performed highlighted three clusters: "Heavy sweaters with sufficient compensatory hydration habits," "Heavy sweaters with insufficient compensatory hydration habits" and "Light sweaters with sufficient compensatory hydration habits". Our results highlight that high-performance adolescent athletes with ad libitum drinking have compensatory mechanisms to replenish fluids lost from training. The approach to distinguish athletes by hydration characteristics could assist practitioners in prioritizing future hydration intervention protocols.


Subject(s)
Athletes/statistics & numerical data , Drinking Behavior , Machine Learning , Organism Hydration Status , Sports/statistics & numerical data , Adolescent , Athletic Performance , Cluster Analysis , Dehydration/diagnosis , Dehydration/epidemiology , Dehydration/etiology , Drinking , Female , Humans , Male , Singapore/epidemiology , Sports/physiology , Water-Electrolyte Balance
16.
Sci Rep ; 11(1): 20147, 2021 10 11.
Article in English | MEDLINE | ID: mdl-34635761

ABSTRACT

The present research attempted to extend prior research that showed that thin-slices of pre-performance nonverbal behavior (NVB) of professional darts players gives valid information to observers about subsequent performance tendencies. Specifically, we investigated what kind of nonverbal cues were associated with success and informed thin-slice ratings. Participants (N = 61) were first asked to estimate the performance of a random sample of videos showing the preparatory NVB of professional darts players (N = 47) either performing well (470 clips) or poorly (470 clips). Preparatory NVB was assessed via preparation times and Active Appearance Modeling using Noldus FaceReader. Results showed that observers could distinguish between good and poor performance based on thin-slices of preparatory NVB (p = 0.001, d = 0.87). Further analyses showed that facial expressions prior to poor performance showed more arousal (p = 0.011, ƞ2p = 0.10), sadness (p = 0.040, ƞ2p = 0.04), and anxiety (p = 0.009, ƞ2p = 0.09) and preparation times were shorter (p = 0.001, ƞ2p = 0.36) prior to poor performance than good performance. Lens model analyses showed preparation times (p = 0.001, rho = 0.18), neutral (p = 0.001, rho = 0.13), sad (rho = 0.12), and facial expressions of arousal (p = 0.001, rho = 0.11) to be correlated with observers' performance ratings. Hence, preparation times and facial cues associated with a player's level of arousal, neutrality, and sadness seem to be valid nonverbal cues that observers utilize to infer information about subsequent perceptual-motor performance.


Subject(s)
Arousal , Athletic Performance/physiology , Emotions/physiology , Facial Expression , Models, Psychological , Sports/statistics & numerical data , Stress, Psychological , Adult , Athletic Performance/psychology , Female , Humans , Male , Motor Skills/physiology
18.
Nutrients ; 13(9)2021 Sep 19.
Article in English | MEDLINE | ID: mdl-34579154

ABSTRACT

The purpose of this study was to investigate the prevalence of self-reported restrictive eating, current or past eating disorder, and menstrual dysfunction and their relationships with injuries. Furthermore, we aimed to compare these prevalences and associations between younger (aged 15-24) and older (aged 25-45) athletes, between elite and non-elite athletes, and between athletes competing in lean and non-lean sports. Data were collected using a web-based questionnaire. Participants were 846 female athletes representing 67 different sports. Results showed that 25%, 18%, and 32% of the athletes reported restrictive eating, eating disorders, and menstrual dysfunction, respectively. Higher rates of lean sport athletes compared with non-lean sport athletes reported these symptoms, while no differences were found between elite and non-elite athletes. Younger athletes reported higher rates of menstrual dysfunction and lower lifetime prevalence of eating disorders. Both restrictive eating (OR 1.41, 95% CI 1.02-1.94) and eating disorders (OR 1.89, 95% CI 1.31-2.73) were associated with injuries, while menstrual dysfunction was associated with more missed participation days compared with a regular menstrual cycle (OR 1.79, 95% CI 1.05-3.07). Our findings indicate that eating disorder symptoms and menstrual dysfunction are common problems in athletes that should be managed properly as they are linked to injuries and missed training/competition days.


Subject(s)
Athletic Injuries/epidemiology , Feeding Behavior , Feeding and Eating Disorders/epidemiology , Menstruation Disturbances/epidemiology , Sports/statistics & numerical data , Adolescent , Adult , Amenorrhea/epidemiology , Athletes/statistics & numerical data , Cross-Sectional Studies , Female , Humans , Menstrual Cycle , Middle Aged , Prevalence , Risk Factors , Self Report , Surveys and Questionnaires , Young Adult
19.
PLoS One ; 16(9): e0256329, 2021.
Article in English | MEDLINE | ID: mdl-34555042

ABSTRACT

Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence. However, in sport, these techniques cannot determine the importance of particular patterns of play to good or bad outcomes, which is often of greater interest to coaches and performance analysts. In this study, we apply a recently proposed supervised sequential pattern mining algorithm called safe pattern pruning (SPP) to 490 labelled event sequences representing passages of play from one rugby team's matches in the 2018 Japan Top League season. We obtain patterns that are the most discriminative between scoring and non-scoring outcomes from both the team's and opposition teams' perspectives using SPP, and compare these with the most frequent patterns obtained with well-known unsupervised sequential pattern mining algorithms when applied to subsets of the original dataset, split on the label. From our obtained results, line breaks, successful line-outs, regained kicks in play, repeated phase-breakdown play, and failed exit plays by the opposition team were found to be the patterns that discriminated most between the team scoring and not scoring. Opposition team line breaks, errors made by the team, opposition team line-outs, and repeated phase-breakdown play by the opposition team were found to be the patterns that discriminated most between the opposition team scoring and not scoring. It was also found that, probably because of the supervised nature and pruning/safe-screening mechanisms of SPP, compared to the patterns obtained by the unsupervised methods, those obtained by SPP were more sophisticated in terms of containing a greater variety of events, and when interpreted, the SPP-obtained patterns would also be more useful for coaches and performance analysts.


Subject(s)
Athletic Performance/statistics & numerical data , Football/statistics & numerical data , Sports/statistics & numerical data , Algorithms , Competitive Behavior/physiology , Humans , Japan
20.
Mayo Clin Proc ; 96(12): 3012-3020, 2021 12.
Article in English | MEDLINE | ID: mdl-34412854

ABSTRACT

OBJECTIVE: To investigate the association between the duration of weekly leisure-time sports activity and all-cause mortality. METHODS: As part of the prospective Copenhagen City Heart Study, 8697 healthy adults completed a comprehensive questionnaire about leisure-time sports activities. Duration (minutes per week) of leisure-time sports activities was recorded for tennis, badminton, soccer, handball, cycling, swimming, jogging, calisthenics, health club activities, weightlifting, and other sports. The primary end point was all-cause mortality, and the median follow-up was 25.6 years. The association between duration of leisure-time sports activities and all-cause mortality was studied using multivariable Cox proportional hazards regression analysis. RESULTS: Compared with the reference group of 2.6 to 4.5 hours of weekly leisure-time sports activities, we found an increased risk for all-cause mortality for those with 0 hours (hazard ratio [HR], 1.51; 95% CI, 1.29 to 1.76), for those with 0.1 to 2.5 hours (HR, 1.24; 95% CI, 1.05 to 1.46), and for those with more than 10 hours (HR, 1.18; 95% CI, 1.00 to 1.39) of weekly leisure-time sports activities. These relationships were generally consistent with additional adjustments for potential confounders among subgroups of age, sex, education, smoking, alcohol intake, and body mass index, when the first 5 years of follow-up were excluded, and for cardiovascular disease mortality. CONCLUSION: We observed a U-shaped association between weekly duration of leisure sports activities and cardiovascular and all-cause mortality, with lowest risk for those participating in 2.6 to 4.5 weekly hours, being consistent across subgroups. Participation in sport activities should be promoted, but the potential risk of very high weekly hours of sport participation should be considered for inclusion in guidelines and recommendations.


Subject(s)
Mortality , Sports/statistics & numerical data , Adult , Aged , Aged, 80 and over , Denmark/epidemiology , Female , Humans , Leisure Activities , Male , Middle Aged , Proportional Hazards Models , Prospective Studies , Risk Factors , Time Factors , Young Adult
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