This study aimed to investigate the hamstring flexibility rate among prepubertal soccer players from U8 to U12 and the role of age and soccer years of practice on the course of hamstring flexibility. Six hundred eleven young Italian soccer players from a local soccer school in Turin were recruited for this research and assigned to each group according to their chronological age (U8 = 124 players; U9 = 130 players; U10 = 151 players; U11 = 89 players; and U12 = 120 players). Hamstring flexibility was measured using the Sit and Reach Test (SAR), while data analysis was run using a one-way analysis of variance (one-way ANOVA). Furthermore, Tuckey’s post hoc was used to determine differences among the classes of age. Finally, a bivariate ordinal regression analysis was used to evaluate a potential association between age categories and hamstrings flexibility. In addition, multivariable ordinal regression was used to analyze this relationship adjusted for the Body Mass Index (BMI). The one-way ANOVA showed significant differences in flexibility among groups (F = 32.76, P < 0.0001). Tuckey’s post hoc identified significant differences between U8 and U10 (p < 0.01; −2,39 cm of hamstring stretching), U8 and U11 (p < 0.05; −2.19 cm), U8 and U12 (p < 0.0001; −5.90), U9 and U12 (p < 0.0001; −4.98 cm), U10 and U12 (p < 0.0001; −3.5 cm), U11 and U12 (p < 0,001; −3.70 cm). In the bivariate ordinal regression analysis, there was a negative association between the age categories and hamstrings flexibility (R2 = 0.137; p < 0.0001). The association persisted in multivariable ordinal regression analysis adjusted for BMI (R2 = 0.138; p < 0.0001). This study underlines changes in hamstring flexibility across different age groups of prepubertal soccer players. The older and more experienced in soccer are less flexible than the younger, considering the hamstring muscles. Thus, appropriate stretching protocols should be included in prepubertal soccer training to avoid the risk of lead players to excess hamstring tightness.

Background The role of physical activity in enhancing health is well recognized. However, in the more industrialized countries, physical activity rates are declining, and the emerging COVID-19 pandemic may amplify this scenario. Thus, this study aimed to report the Italian population’s physical activity profile living in the North-western regions during the national lockdown. Methods Physical activity was assessed using the official Italian short form of IPAQ, intended for Social Networking Services (SNS). Participation was voluntary, and people could fill the questionnaire simply by clicking on a specific link. Results The final sample size was 612 Italians, male and female, equally distributed (49.1% male and 50.9% female). Data showed a percentage of 15.4% of inactive subjects (MET < 700), 61.8% of moderate-active (MET 700–2500), and 22.9% of active people (MET > 2500). Women were more inactive than men (p < 0.01; 57.4% vs 42.6%). Furthermore, participants were classified into four classes of age: 18–29; 30–44; 45–59; and 60–79. Class 18–29 was prevalent (p < 0.01, 68.3%) and showed higher levels of physical activity (p < 0.05). Conclusions Italians living in North-western regions maintained a moderate amount of physical activity during the quarantine. This behavior should be encouraged, particularly among women that usually appear to be less active than men.

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Objectives: The first objective was to investigate the influence of subjective perceptions and the efficacy of objective evaluation regarding the classification of soccer school players by their level of performance. The second objective was to advise on accurate collocation according to objective assessment of players’ performance. Methods: An objective evaluation of the players’ motor performance abilities and coaches’ subjective perceptions of the players’ levels of performance was conducted with 34 young football players (U11) from Torino FC soccer school. The players were allocated to three groups based on their perceived performance level at the start of the season. The players were evaluated using a field test battery, and team coaches provided subjective ratings of the players’ abilities. Results: MANOVA showed significant differences between the playing levels (F = 2.185, p < 0.05; partial η2 = 0.34) in the 10 × 5 shuttle run, 20 m sprint test (objective evaluations), heading, understanding of the game, positioning on the field, speed and agility (subjective perception) (F = 1.951, p < 0.05; partial η2 = 0.43). A discriminant analysis of the field test scores revealed that 76.5% of players were correctly categorised in one of the three performance-level groups. However, the first group (the best players) had the lowest predictive accuracy rate (58.3%). By comparison, the second group (the average players) had a much higher predictive accuracy rate (83.3%), and the third (the weakest players) had the highest (90.0%). Conclusions: These findings support the role of objective performance evaluation in categorising players of different skill in soccer schools.

The Ref. [13] has been incorrectly published in the original publication. The complete correct reference is given below.Chen P, Mao L, Nassis GP, Harmer P, Ainsworth BE, Li F (2020) Coronavirus disease (COVID-19): the need to maintain regular physical activity while taking precautions.