scholarly journals Technical Performance and Perceived Exertion Variations Between Small-Sided Basketball Games in Under-14 and Under-16 Competitive Levels

2020 ◽  
Vol 71 (1) ◽  
pp. 179-189
Author(s):  
Filipe Manuel Clemente ◽  
Rita Sanches ◽  
Carlos Filipe Moleiro ◽  
Mónica Gomes ◽  
Ricardo Lima
Keyword(s):  
Perceived Exertion ◽  
National Level ◽  
Age Groups ◽  
Young Male ◽  
Age Group ◽  
Relative Area ◽  
Basketball Players ◽  
Technical Performance ◽  
Rate Of Perceived Exertion ◽  
Group Comparisons

AbstractThe aim of this study was twofold: i) to compare the rate of perceived exertion (RPE) and the frequencies of technical actions per minute in different small-sided games (SSGs) between under-14 and under-16 age groups, and ii) to compare the RPE and the frequencies of technical actions per minute between 1 x 1, 2 x 2, 3 x 3, 4 x 4 and 5 x 5 formats within age groups. Twenty young male basketball players from the same club (N = 10, from under-14; N = 10, from under-16) competing at the national level voluntarily participated in this study. Five different SSGs (1 x 1, 2 x 2, 3 x 3, 4 x 4 and 5 x 5) were played twice on courts of the same relative area and were compared in terms of the RPE and technical actions. The number of technical-tactical actions per minute, i.e. conquered balls (CB), received balls (RB), lost balls (LB), attacking balls/passes (AB), shots (S), rebounds (R), and the RPE were collected for each player for each SSG session. The results revealed that most of the differences between age groups were considered trivial/small and/or unclear for all SSG formats, though likely moderate differences between age groups were found in 1 x 1 and 2 x 2 SSGs, revealing that young players had greater frequencies of received, conquered, and lost balls. Within-age-group comparisons also showed moderate-to-large increases in technical actions during smaller formats than during larger ones. The main evidence of this study revealed that age group seemed not to largely influence the RPE or technical actions during different SSGs. However, smaller formats moderately-to-largely increased the number of technical actions. Interestingly, the biggest format (5 x 5) largely increased the RPE in comparison to the remaining formats. As a conclusion, technical actions and the RPE were influenced more by the format of play than by the age group.

scholarly journals Basketball small-sided games

Kinesiology ◽  
2021 ◽  
Vol 53 (1) ◽  
pp. 28-36
Author(s):  
Filipe Manuel Clemente ◽  
Sarah G.T. Bredt ◽  
Gibson Praça ◽  
André Gustavo Pereira de Andrade ◽  
Rita Sanches ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Young Female ◽  
Relative Area ◽  
Basketball Players ◽  
Bout Duration ◽  
Rate Of Perceived Exertion

This study compared athletes’ rate of perceived exertion (RPE) and the number of their technical-tactical actions in small-sided basketball games (SSG) played within the same relative area with adjusted bout durations in (a) varied game formats; and (b) in two successive bouts of different formats. Ten young female basketball players (14.3±1.3 years) played two bouts of five small-sided game (SSG) formats (1x1, 2x2, 3x3, 4x4, and 5x5). The number of technical-tactical actions per player per minute decreased from the smaller to the larger SSG format, and players’ RPE tended to be higher in larger compared to smaller formats. We concluded that the smaller basketball SSG formats increased players’ participation. In addition, adjustments of the relative playing area and bout duration seemed to decrease players’ effort. The use of two SSG bouts did impact the number of technical-tactical actions and RPE.

scholarly journals Predictive Value of Technical Throwing Skills on Nomination Status in Youth and Long-Term Career Attainment in Handball

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Till Koopmann ◽  
Franziska Lath ◽  
Dirk Büsch ◽  
Jörg Schorer
Keyword(s):  
Logistic Regression ◽  
National Level ◽  
Age Groups ◽  
Age Group ◽  
Regression Analyses ◽  
Chi Square ◽  
Career Attainment ◽  
Future Performance ◽  
Younger Age

Abstract Background Research on talent in sports aims to identify predictors of future performance. This study retrospectively investigated 1) relationships between young handball field players’ technical throwing skills and (a) their potential nomination to youth national teams and (b) their long-term career attainment 10 years later, and 2) associations between nomination status and career attainment. Results Results from retrospectively predicting nomination status and career attainment using logistic regression analyses show that technical throwing skills were partly able to explain players’ nomination status (Nagelkerke R2: females 9.2%, males 13.1%) and career attainment (Nagelkerke R2: 9.8% for female players). Here, variables throwing velocity and time on exercise showed statistically significant effects. In addition, nomination status and career attainment were shown to be associated using chi-square tests (w of .37 and .23 for female and male players, respectively) and nomination status as a predictor increased the prediction of career attainment remarkably (Nagelkerke R2: females 20.3%, males 12.7%). Conclusions Given these results, basic technical throwing skills may serve rather as a prerequisite in this age group on national level, emphasizing its importance already on lower levels and in younger age groups. Furthermore, advantages from entering the national TID system early especially for females are discussed.

scholarly journals THE US MIDLIFE MORTALITY CRISIS CONTINUES: INCREASED DEATH RATES FROM CAUSES OTHER THAN COVID-19 DURING 2020

2021 ◽  
Author(s):  
Dana A Glei
Keyword(s):  
Indirect Effect ◽  
Causes Of Death ◽  
Excess Mortality ◽  
Negative Binomial ◽  
National Level ◽  
Age Groups ◽  
Negative Binomial Regression ◽  
Negative Binomial Regression Model ◽  
Age Group ◽  
External Causes

COVID-19 has prematurely ended many lives, particularly among the oldest Americans, but the pandemic has also had an indirect effect on health and non-COVID mortality among the working-age population, who have suffered the brunt of the economic consequences. This analysis quantifies the changes in mortality for selected causes of death during the COVID 19 pandemic up to December 31, 2020, and investigates whether the levels of excess mortality varied by age group. The data comprise national-level monthly death counts by age group and selected causes of death from January 1999 to December 2020 combined with annual mid-year population estimates over the same period. A negative binomial regression model was used to estimate monthly cause-specific excess mortality during 2020 controlling for the pre-pandemic mortality patterns by age, calendar year, and season. To determine whether excess mortality varied by age, we tested interactions between broad age groups and dichotomous indicators for the pre-pandemic (January-February) and the pandemic (March-December) portions of 2020. In relative terms, excess all cause mortality (including COVID-19) peaked in December at ages 25-44 (RR=1.58 relative to 2019, 95% CI=1.50-1.68). Excluding COVID-19, all of the excess mortality occurred between ages 15 and 64, peaking in July among those aged 25-44 (RR=1.45, 95% CI 1.37-1.53). We find notable excess mortality during March-December 2020 for many causes (i.e., influenza/pneumonia, other respiratory diseases, diabetes, heart disease, cerebrovascular disease, kidney disease, and external causes), but almost exclusively among young and midlife (aged 25-74) Americans. For those aged 75 and older, there was little excess mortality from causes other than COVID-19 except from Alzheimer's disease. Excess non-COVID mortality may have resulted, at least partly, from incorrectly classified COVID-19 deaths, but neither misclassification nor an atypical flu season that disproportionately affected younger people is likely to explain the increase in mortality from external causes, which was evident even during January-February 2020. Exploratory analyses suggest that drug-related mortality may be driving the early rise in external mortality. The growth in drug overdoses well before there was any hint of a pandemic suggests it is probably not solely an indirect effect of COVID-19, although the pandemic may have exacerbated the problem.

Perceived Exertion in Isometric Muscular Contractions Related to Age, Muscle, Force Level and Duration

1992 ◽  
Vol 36 (10) ◽  
pp. 712-716 ◽  
Author(s):  
Joseph M. Deeb ◽  
Colin G. Drury
Keyword(s):  
Perceived Exertion ◽  
Muscle Force ◽  
Age Groups ◽  
Muscle Group ◽  
Isometric Contractions ◽  
Age Group ◽  
Perceived Effort ◽  
Muscle Groups ◽  
Different Levels

This research was concerned with studying the development and growth of perceived effort of long-term isometric contractions as a function of muscle group (biceps vs quadriceps), of subjects with different age groups (20–29 vs. 50–59 years old) on long-term muscular isometric contractions (5 minutes) at different levels of %MVC (20, 40, 60, 80 and 100 %MVC). An experiment testing 20 subjects each performing 10 conditions (two muscle groups × five levels of %MVC) showed that the older age group reported Significantly higher perceived exertion at higher levels of %MVC and across time. Furthermore, subjects experienced a higher and faster increase in their perceived exertion when the level of %MVC and time increased.

scholarly journals A Multi-Block Multivariate Analysis to Explore the Influence of the Somatic Maturation in Youth Basketball

2021 ◽  
Vol 12 ◽  
Author(s):  
Jorge Arede ◽  
Irene Oliveira ◽  
Miguel-Angel Ángel Gomez ◽  
Nuno Leite
Keyword(s):  
Cluster Analysis ◽  
Canonical Correlation ◽  
Age Groups ◽  
Age Group ◽  
Basketball Players ◽  
Generalized Canonical Correlation Analysis ◽  
Physical Tests ◽  
Performance Profiles ◽  
Status Differences ◽  
Age Category

The aim of this study was to examine the influence of somatic maturation in anthropometric, physical, and game-related variables in youth basketball age groups under-13 (U-13) and under-15 (U-15). One-hundred and eighty-five basketball players performed anthropometrical and physical tests during a non-official youth basketball tournament. Predicted maturity offset (MO) and game-related variables were also analyzed. Cluster analysis was used to analyze the between-maturation status differences in all parameters in each age group. Also, regularized generalized canonical correlation analysis (RGCCA) was used to assess relative contributions of maturational, physical, and game-related variables within each age group. Based on MO, two different clusters were identified within each age category. Greater differences in MO were identified among U-13 clusters than among U-15 clusters. No significant differences were observed between clusters in terms of physical and game-related variables. High correlations between maturational, physical, and game-related variables (i.e., points scored, field goals attempted, and rebounds) were found for boys. In girls, different trends in terms of correlations were observed. The strongest association between blocks was observed between physical tests and game-related variables in all age categories, except for U-15 girls. Knowing and identifying performance profiles according to biological age is of upmost importance since it allows the coach to create challenging situations adjusted to the individual’s needs.

scholarly journals Are 80-Year-Old Swimmers Faster than 25-Year-Old Master Swimmers?

2018 ◽  
Vol 4 (67) ◽  
Author(s):  
Birutė Statkevičienė ◽  
Remigijus Gulbinas ◽  
Tomas Venckūnas
Keyword(s):  
Female Athletes ◽  
Swimming Performance ◽  
Age Groups ◽  
Young Male ◽  
Cross Sectional Study ◽  
Age Group ◽  
Long Distance ◽  
Cross Sectional ◽  
Men And Women ◽  
Point Score

Competitive sport is one of the stimulants in making people practice exercise on the regular basis. Many of the handicap systems have been tried in different sports to match younger or older competitors to the young male adults, and it seems that the result indexing system according to age, which is in operation in track-and-field at the moment, is functional enough to help motivating veteran athletes to continue to participate in sports actively. The question raised by the authors of the present study was: “How can we create and implement coefficients and equations, which may be used to compare the results achieved by the master swimmers of different age groups?”. The aim of this study was to compile a point score system for the masters’ swimming results. Objectives: 1) to determine the changes in master swimmers’ (men and women) race times depending on age; 2) to calculate the coefficients for the conversion of the master swimmers’ (men and women) race time; 3) to offer the system of recalculation of converted master swimmers’ results in time into points, and to test the new ranking system in a Master swim meet. The data were taken from World Top-10 Masters Swimming Tabulation. Both male and female athletes were divided into 5-year age groups, starting from 25 years and going up to 94 years of age. We analysed the results (times) of the 1992—2005 year period in a cross-sectional study design. We calculated the differences in percentages of the averages of the results in different age group in comparison to the results achieved by the participants of the 25—29 year age group. Then we calculated the age coefficients, which could be used in indexing the competitive results, and finally we applied the International Swimming Federation (FINA) tables for point score to rank the master swimmers in actual competition. The research findings suggested that: 1. Among the women swimmers, a quicker deterioration of the results starts above the age of 75 years and older, and this decline is most obvious in breaststroke, butterfly, and individual medley, while it is less pronounced in long freestyle events. 2. For males, swimming performance also abruptly decreases after the age of 75 years. Differently from women, males degrade their freestyle sprinting abilities less than the results in long-distance freestyle swimming. The results in butterfly deteriorate the most in both genders, with the greatest decline seen again after the age of 75 years. 3. Here we have introduced a system for the recalculation of master swimmers’ results by using the age coefficients, with a subsequent conversion of the result into point score. The system can be successfully applied in determining the master swimmers’ rank among swimmers of different age groups.Keywords: results of master athletes, result indexing, swimming styles.

Motives of Young Basketball Players for Going in for Sports

2015 ◽  
Vol 6 (2) ◽  
pp. 37-46
Author(s):  
Asta Budreikaitė ◽  
Kęstutis Mačijauskas
Keyword(s):  
Statistical Analysis ◽  
Research Methods ◽  
Age Groups ◽  
Scientific Research ◽  
Analysis Data ◽  
Age Group ◽  
Basketball Players ◽  
Willingness To Compete ◽  
And Control ◽  
Improve Health

Abstract The aim of the research is to analyze the motives for going in for sports among young basketball players within the age group of 9-16 years. Research methods are as follows: analysis of relevant scientific research, questionnaire, and statistical analysis. Data was collected by cooperating with Silute Sports School upon receipt of consent; questionnaires were handed out to the pupils of the sports school. The research sample was composed of 100 respondents between the ages of 9 – 16 years attending Silute Sports School. The results of the present research identified and named the most common and significant motives encouraging the young basketball players to engage in sports across all age groups (interval of 10―16 years), which are the improvement of health and the possibility of making own sport-related achievements public. Considering different age groups, results demonstrate that boys at the age of 9 – 10 consider the following motives fundamental: to improve health and to express emotions. They believe that emotional enrichment when emotions experienced in sports come along with pleasure in doing such sports and appreciation of own achievements is highly significant. When it comes to the adolescents falling into the group of 11 – 12 year olds, willingness to compete, fight, and control oneself are the central motives, while to the adolescents at the age of 13 – 14 years it was to experience pleasure in sports, however, the group of 15 – 16 year olds name a possibility to become famous for sport-related achievements as the most significant motive.

scholarly journals Assessment of varicella underreporting in Italy

2002 ◽  
Vol 128 (3) ◽  
pp. 479-484 ◽  
Author(s):  
M. L. CIOFI DEGLI ATTI ◽  
M. C. ROTA ◽  
D. MANDOLINI ◽  
A. BELLA ◽  
G. GABUTTI ◽  
...  
Keyword(s):  
Cumulative Incidence ◽  
Southern Italy ◽  
Geographical Area ◽  
National Level ◽  
Age Groups ◽  
Mass Vaccination ◽  
Older Age ◽  
Age Group ◽  
Potential Impact

We conducted a study to assess the degree of varicella underreporting in Italy, and its distribution by age group and geographical area. Underreporting in individuals from 6 months to 20 years of age was computed as the ratio between the varicella seroprevalence in 1996 and the 1996 lifetime cumulative incidence based on statutory notifications. The degree of underreporting at the national level was 7·7 (95% CI 7·4–7·9); underreporting was greater in older age groups and in southern Italy. Quantification of underreporting can contribute to better understanding of the burden of varicella and to evaluating the potential impact of mass vaccination.

scholarly journals Spatial determinants of excess all-cause mortality during the first wave of the COVID-19 epidemic in France

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hugo Pilkington ◽  
Thierry Feuillet ◽  
Stéphane Rican ◽  
Jeanne Goupil de Bouillé ◽  
Olivier Bouchaud ◽  
...  
Keyword(s):  
Primary Healthcare ◽  
Excess Mortality ◽  
Social Deprivation ◽  
National Level ◽  
Age Groups ◽  
Geographical Location ◽  
Age Group ◽  
Contextual Variables ◽  
Complex Situation ◽  
All Cause Mortality

Abstract Background The first wave of the COVID-19 pandemic in France was associated with high excess mortality, and anecdotal evidence pointed to differing excess mortality patterns depending on social and environmental determinants. In this study we aimed to investigate the spatial distribution of excess mortality during the first wave of the COVID-19 pandemic in France and relate it at the subnational level to contextual determinants from various dimensions (socioeconomic, population density, overall health status, healthcare access etc.). We also explored whether the determinants identified at the national level varied depending on geographical location. Methods We used available national data on deaths in France to calculate excess mortality by department for three age groups: 0–49, 50–74 and > 74 yrs. between March 1st and April 27th, 2020. We selected 15 variables at the department level that represent four dimensions that may be related to overall mortality at the ecological level, two representing population-level vulnerabilities (morbidity, social deprivation) and two representing environmental-level vulnerabilities (primary healthcare supply, urbanization). We modelled excess mortality by age group for our contextual variables at the department level. We conducted both a global (i.e., country-wide) analysis and a multiscale geographically weighted regression (MGWR) model to account for the spatial variations in excess mortality. Results In both age groups, excess all-cause mortality was significantly higher in departments where urbanization was higher (50–74 yrs.: β = 15.33, p < 0.001; > 74 yrs.: β = 18.24, p < 0.001) and the supply of primary healthcare providers lower (50–74 yrs.: β = − 8.10, p < 0.001; > 74 yrs.: β = − 8.27, p < 0.001). In the 50–74 yrs. age group, excess mortality was negatively associated with the supply of pharmacists (β = − 3.70, p < 0.02) and positively associated with work-related mobility (β = 4.62, p < 0.003); in the > 74 yrs. age group our measures of deprivation (β = 15.46, p < 0.05) and morbidity (β = 0.79, p < 0.008) were associated with excess mortality. Associations between excess mortality and contextual variables varied significantly across departments for both age groups. Conclusions Public health strategies aiming at mitigating the effects of future epidemics should consider all dimensions involved to develop efficient and locally tailored policies within the context of an evolving, socially and spatially complex situation.

scholarly journals Ossifying Fibroma of the Ethmoid Sinuses: Rare Scenarios

2011 ◽  
Vol 4 (3) ◽  
pp. 159-162
Author(s):  
Raj Kumar ◽  
Kranti Bhavana ◽  
Amit Keshri ◽  
Sushil Kumar Aggarwal ◽  
Deepika Upadhyay ◽  
...  
Keyword(s):  
Benign Tumor ◽  
Age Groups ◽  
Young Male ◽  
Ossifying Fibroma ◽  
Age Group ◽  
Distinct Entity ◽  
Rare Benign Tumor ◽  
Male Patients ◽  
Ethmoid Sinuses

ABSTRACT Ossifying fibroma (OF) is a rare benign tumor, which is a distinct entity, despite being closely related to fibrous dysplasia, according to WHO classification of 2005.1 It is commonly found in mandible and maxilla but rarely found in ethmoid sinuses, orbit and skull base.2-4 It commonly occurs in age group of 20 to 40 years,5,6 although rarely, it can present in all age groups. OF is more common in females than males.4,7 We describe here two cases of OF involving the ethmoid sinuses in young male patients which presented diagnostic dilemmas for us. We report these cases as the site of involvement, age group and sex of patients and diagnostic and management considerations imparted uniqueness to these cases.

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