Childhood Sports Participation and Adolescent Sport Profile

Gallant, François; O’Loughlin, Jennifer; Brunet, Jennifer; Sabiston, Catherine M.; Bélanger, Mathieu

doi:10.1542/peds.2017-1449

Cited by 31 publications

(33 citation statements)

References 60 publications

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“…The recreational years (ages 13+ years) are an extension of the sampling years where children continue to participate in sport for enjoyment; whereas the specializing (13-15 years) and investment years (16+ years) apply to youth interested in more performance-oriented pathways, where the focus moves from deliberate play to deliberate practice activities (Coté and Hay, 2002). Sport sampling in children should be promoted as it is linked to higher physical activity levels during adolescence (Gallant et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In summary, in relation to sport we know that: (a) many children sample many different sports before choosing one or two in which to specialize (Gallant et al, 2017;Eime et al, 2019b); (b) participation decreases with age (Coll Cd et al, 2014;Eime et al, 2016b); (c) boys are more likely to participate than girls and girls may drop out early because of not wanting to play sport in presence of boys/men (Casey et al, 2019); (d) many drop out of participation during adolescence, when the elite pathway begins for those most talented (Coté et al, 2009); and (e) more people are transitioning from organized sport to un-organized forms of participation (Eime et al, 2010;Vella et al, 2014). Although there are other reasons for drop-out, a spike in leaving organized sport (out of sport altogether or into unorganized sport or physical activity) can be observed just when the elite pathway begins for the most talented.…”

Section: Introductionmentioning

confidence: 99%

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Longitudinal Trends in Sport Participation and Retention of Women and Girls

Eime

Harvey

Charity

et al. 2020

Front. Sports Act. Living

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Measurement and analysis of sport participation data is vital to understand trends, and therefore to make informed decisions relating to sport policy and strategies to get more people active through sport. This study identified patterns of club sport participation, retention and drop-out of women and girls over a 7 year period in a popular team sport in Australia. The study included registered women and girls of all ages (4-96 years at baseline) in an almost exclusively female sport, with a particular focus on the ages 4-14 years where most participation occurs. All commencing participants in the base year (2010) were tracked over the 7 year period. Participants were classified in two ways: the total number of years they played and their overall pattern of participation. Differences between age groups were analyzed using Kruskall Wallis and Mann Whitney tests. Registration records of 29,225 participants were analyzed in the study. Overall, there were considerable differences in the years participating in the sport. Almost one third (30%) of commencing 4-9 year olds played continuously for the 7 years. This proportion diminished through ages at commencement from 10 to 19, reaching a low point of 4% for ages 15-19, then rebounded slightly, reaching 7% for ages 30+. The proportion who dropped out during the 7 year period and did not return varied with age in the converse manner, as did the proportion of single-year players. The optimal age of entry to sport for retention in participation was 6-9 years. Consideration needs to be given to the age appropriateness of sports programs for very young participants. Strategies specifically relating to retention of girls and young women during adolescence should be developed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Longitudinal Trends in Sport Participation and Retention of Women and Girls

Eime

Harvey

Charity

et al. 2020

Front. Sports Act. Living

View full text Add to dashboard Cite

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“…Furthermore, children with low levels of neuromotor fitness can experience difficulties with participating in sports activities as they do not have the physical skills required for the complex movements in sports (4). Children who do not participate in sports are also less likely to participate in sports through adolescence and into adulthood (5,6), thereby increasing the risk for negative health outcomes at all ages (2,7,8). Therefore, it is worrisome that worldwide declining trends in childhood physical fitness scores are observed.…”

Section: Introductionmentioning

confidence: 99%

Trends in Neuromotor Fitness in 10-to-12-Year-Old Dutch Children: A Comparison Between 2006 and 2015/2017

Anselma

Collard

Berkum

et al. 2020

Front. Public Health

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Children with a low level of neuromotor fitness are less skilled to participate in sports activities. Moreover, lower levels of neuromotor fitness are related to adiposity, lower cardiovascular health, and poor self-esteem in children. The aim of this paper was to determine neuromotor fitness in 10-12-year-old Dutch children over a 10-year period. Test scores measured in 2015/2017 (N = 533 in 2015, N = 941 in 2017) were compared with scores of same-aged children measured in 2006 (N = 1986). Neuromotor fitness was assessed using the MOPER fitness test battery, including speed and agility, strength, flexibility, and coordination and upper-limb speed. Data were analyzed using multilevel linear regression models and tobit regression analyses in case of skewed distributions with an excess of zeros. Analyses were stratified by age and gender, and adjusted for level of urbanization. Children in 2015/2017 performed significantly worse on speed and agility (β = 0.8 to 1.1 s), significantly better on coordination/upper-limb speed (β = −1.0 to −0.6 s), and-except for 12-year-old girls-significantly worse on flexibility vs. children in 2006 (β = −3.4 to −1.8 cm). Additionally, upper-body strength was significantly worse among 10-year olds (β = −3.2 to −2.5 s) while leg strength was significantly worse among 11-year-olds in 2015/2017 vs. 2006 (β = −1.8 to −1.7 cm). Trunk strength was worse among 11-and 12-year old boys (β = 1.1 to 1.2 s). In line with a previously observed downward trend in neuromotor fitness among children (1980-2006), we found worse scores on speed and agility, and flexibility in 2015/2017 vs. 2006, stressing the need for interventions aimed at improving neuromotor fitness in order to promote physical activity and future health.

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“…Future work could attempt to minimise this limitation by focusing within a single sport cohort who train under the same sport-specific routine and personal. While we collated the self-reported sports participation data in line with other established research protocols (see [42,43]) we acknowledge the limitation of participants potential over-or under-estimation of exposure hours via self-report. Finally, while this pilot work has added novel insights from high school athlete perceptions via our semi-structured interview analysis, one area to improve these insights in future work could be to corroborate the adherence challenges noted by athletes with parent/guardian feedback.…”

Section: Discussionmentioning

confidence: 99%

Movement Competency Training Delivery: At School or Online? A Pilot Study of High-School Athletes

Rogers

Hassmén

Roberts

et al. 2020

Sports

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Movement competency (MC) development of high-school athletes can prepare them for the requirements of physical preparation training and the demands of sport. The aim of this study was to explore the physical effects of and athlete compliance to coach-led versus self-directed training approaches in this population. Thirty-nine high-school athletes (19 male, 14.5 ± 0.3 years old; 20 female, 14.6 ± 0.3 years) were allocated into two groups for a physical preparation program to improve MC. Groups were prescribed either (i) one face-to-face and one online (F2F, n = 18), or (ii) two online (OL, n = 21) sessions per week for 16-weeks. Before and after the intervention, the Athlete Introductory Movement Screen (AIMS) was used to assess MC alongside common physical capacity measures (triple-hop, star-excursion balance, medicine ball throw, 40 m sprint and countermovement jump). Dropout left 22 participants with pre-post physical scores. Compliance with online training was low and F2F session attendance moderate. Semi-structured interviews were conducted to assess participant perceptions following the intervention. Assessing individual responses, the F2F group had a higher proportion of positive responders to AIMS scores, yet capacity measures were inconclusive across groups. Face-to-face coaching when acquiring MCs as part of physical preparation, may provide greater positive perceptions towards training compared to self-directed online prescriptions, and thereby greater compliance.

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Childhood Sports Participation and Adolescent Sport Profile

Abstract: Sport sampling should be promoted in childhood because it may be linked to higher PA levels during adolescence.

Cited by 31 publications

References 60 publications

Longitudinal Trends in Sport Participation and Retention of Women and Girls

Longitudinal Trends in Sport Participation and Retention of Women and Girls

Trends in Neuromotor Fitness in 10-to-12-Year-Old Dutch Children: A Comparison Between 2006 and 2015/2017

Movement Competency Training Delivery: At School or Online? A Pilot Study of High-School Athletes

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