The aims of this study were to investigate “athletic identity” in people with spinal cord injury (SCI), using the Athletic Identity Measurement Scale (AIMS), to evaluate the psychometric properties of the 7-item version, and to identify reasons for and barriers to sports participation in this population. People with SCI (N = 678), even those competing as athletes, reported lower levels of athletic identity than able-bodied adults and adolescents with physical disabilities. AIMS scores varied according to gender, athlete status, and hours of sports participation per week. No relationship was found between athletic identity and depression, anxiety, or life satisfaction. Exploratory factor analysis did not support the 3-factor structure of the AIMS with this population, although internal consistency was good.
Tomasz Tasiemski, Paul Kennedy, Brian P. Gardner and Rachel A. Blaikley
Esther Hartman, Suzanne Houwen and Chris Visscher
This study aimed to examine motor performance in deaf elementary school children and its association with sports participation. The population studied included 42 deaf children whose hearing loss ranged from 80 to 120 dB. Their motor skills were assessed with the Movement Assessment Battery for Children, and a questionnaire was used to determine their active involvement in organized sports. The deaf children had significantly more borderline and definite motor problems than the normative sample: 62% (manual dexterity), 52% (ball skills), and 45% (balance skills). Participation in organized sports was reported by 43% of the children; these children showed better performance on ball skills and dynamic balance. This study demonstrates the importance of improving deaf children’s motor skill performance, which might contribute positively to their sports participation.
Andre Filipe Santos-Magalhaes and Karen Hambly
The assessment of physical activity and return to sport and exercise activities is an important component in the overall evaluation of outcome after autologous cartilage implantation (ACI).
To identify the patient-report instruments that are commonly used in the evaluation of physical activity and return to sport after ACI and provide a critical analysis of these instruments from a rehabilitative perspective.
A computerized search was performed in January 2013 and repeated in March 2013. Criteria for inclusion required that studies (1) be written in English and published between 1994 and 2013; (2) be clinical studies where knee ACI cartilage repair was the primary treatment, or comparison studies between ACI and other techniques or between different ACI generations; (3) report postoperative physical activity and sport participation outcomes results, and (4) have evidence level of I–III.
Twenty-six studies fulfilled the inclusion criteria. Three physical activity scales were identified: the Tegner Activity Scale, Modified Baecke Questionnaire, and Activity Rating Scale. Five knee-specific instruments were identified: the Lysholm Knee Function Scale, International Knee Documentation Committee Score Subjective Form, Knee Injury and Osteoarthritis Outcome Score, Modified Cincinnati Knee Score, and Stanmore-Bentley Functional Score.
Considerable heterogeneity exists in the reporting of physical activity and sports participation after ACI. Current instruments do not fulfill the rehabilitative needs in the evaluation of physical activity and sports participation. The validated instruments fail in the assessment of frequency, intensity, and duration of sports participation.
Jennie A. Phillips and Deborah Rohm Young
This study examined associations between sports participation, physical activity, fitness level, and body mass index in ninth-grade girls.
Data were analyzed for 221 participants who completed sports participation and physical activity recall questionnaires, an aerobic step test, and height and weight measurement.
On average, participants had low physical activity levels, and many were overweight or obese (47%). About half participated in at least one organized sport in the previous year. Sports participants had higher current estimated energy expenditure compared with non-sports participants (P = .0007). Those who participated on at least two teams were more likely to complete the three-stage step test without reaching their target heart rate than those who did not participate on any teams (P < .03). Past sports participation was positively associated with current physical activity and fitness levels.
Urban adolescent girls who participate in sports have increased energy expenditure and higher fitness levels, indicating sports as a potential strategy to improve physical activity and health in this population.
Michelle Hardie Murphy, David Anthony Rowe and Catherine B. Woods
The contribution of sports related factors to predicting long-term physical activity (PA) are unclear. The purpose of this study is to examine tracking of PA during key transition periods in youth and to determine the longitudinal associations between sports club participation and PA.
Participants (n = 873, baseline age 10 to 18 years) completed self-report surveys in 2009 and 2014 that included the PACE+ PA tool and sports club participation questions. Spearman correlations assessed PA tracking. ANCOVA analyses examined predictors (sports participation at baseline) of PA (follow-up), adjusting for (a) age and sex; and (b) age, sex, and baseline PA.
Tracking of PA was weak-to-moderate (ρ = .16 to .47). Greater sports participation frequency at baseline significantly predicted PA at follow-up (P < .01). Involvement in club sports at an elite level had a medium-to-large effect on PA levels 5 years later [d = .75 adjusting for (a); d = .60 adjusting for (b)].
PA should be promoted in youth as tracking coefficients suggest it can, to an extent, continue into later life. The standard achieved in sport has a role in predicting later PA. PA promotion strategies should include frequent, high quality opportunities for sports participation.
Robert H. DuRant, Amy B. Middleman, Annie H. Faulkner, S. Jean Emans and Elizabeth R. Woods
The purpose of this study was to examine the relationships among anabolic-androgenic steroid use and other drug use, strength training, sports participation, and school performance of high school students. Among males not participating in school sports, 37% of the variation in anabolic steroid use was accounted for by frequency of cocaine use, injected drug use, other drug use, and engaging in strength training. Injection drug use and poly-drug use accounted for 22.1% of the variation in the frequency of anabolic-steroid use among males participating in school sports, 29.1% of the variation among females participating in school sports, and 63.3% of the variation among females not participating in school sports.
Bryan E. Denham
Drawing on data gathered from high-school seniors in the 2008 Monitoring the Future Study of American Youth (N = 2,063), this research examined the explanatory effects of competitive sports participation on alcohol consumption and marijuana use using race and noncompetitive exercise frequency as controls. Among males, competitive sports included baseball, basketball, football, soccer, track and field, and weightlifting, and among females, sports included softball, basketball, soccer, swimming and diving, track and field, and volleyball. White males reported greater alcohol consumption than Black and Hispanic respondents, with competitors in baseball, football and weightlifting consuming alcohol more frequently. The use of marijuana did not depend on race, but baseball players and weightlifters reported significantly more use. Among females, race differences did not emerge in ordinal regression models testing effects on alcohol consumption, but participants in every sport reported drinking alcohol more frequently. White female athletes also appeared to smoke marijuana more frequently. Overall, results suggested comparably strong effects for female sport environments while male behaviors varied by race, noncompetitive exercise frequency, and sports competition. Limitations of the study and recommendations for future research are offered.
Kyle R. Lynch, Michael Fredericson, Bruna Turi-Lynch, Ricardo R. Agostinete, Igor H. Ito, Rafael Luiz-de-Marco, Mario A. Rodrigues-Junior and Rômulo A. Fernandes
In 2016, the city of Rio de Janeiro held the Olympic Games, 4 years after London and 8 years after Beijing. In the months leading up to the Olympic Games, there was an intensive discussion in the society about the “legacy” of this event. Regarding legacy, the promotion of sports participation among
Job Fransen, Dieter Deprez, Johan Pion, Isabel B Tallir, Eva D’Hondt, Roel Vaeyens, Matthieu Lenoir and Renaat M. Philippaerts
The goal of this study was to investigate differences in physical fitness and sports participation over 2 years in children with relatively high, average, and low motor competence. Physical fitness and gross motor coordination of 501 children between 6–10 years were measured at baseline and baseline+2 years. The sample compromised 2 age cohorts: 6.00–7.99 and 8.00–9.99 years. An age and sex-specific motor quotient at baseline testing was used to subdivide these children into low (MQ < P33), average (P33 ≤ MQ < P66) and high (MQ ≥ P66) motor competence groups. Measures of sports participation were obtained through a physical activity questionnaire in 278 of the same children. Repeated Measures MANCOVA and two separate ANOVAs were used to analyze differences in changes in physical fitness and measures of sports participation respectively. Children with high motor competence scored better on physical fitness tests and participated in sports more often. Since physical fitness levels between groups changed similarly over time, low motor competent children might be at risk for being less physically fit throughout their life. Furthermore, since low motor competent children participate less in sports, they have fewer opportunities of developing motor abilities and physical fitness and this may further prevent them from catching up with their peers with an average or high motor competence.
Chris Knoester and Theo Randolph
their race-ethnicity as white/other. Table 2 Results from OLS and Logistic Regressions Predicting Father-Child Sports and Outdoor Activities and Child’s Organized Sports Participation Father-Child Interactions Organized Sports Participation Variable B SE OR SE Father’s Age 0.00 0.00 1.00 0.01 High