Ce with this, the purposes of this study were (a) to examine the morphologic-, fitness-, handball-specific skills and psychological and “biosocial” differences between top elite and nontop elite team-handball players and (b) to investigate the extent to which they may be used to identify top elite team-handball players. One hundred sixty-seven adult male team-handball players were studied and divided in 2 groups: top elite (n = 41) and nontop elite (n = 126). Twenty-eight morphologic-, 9 fitness-, 1 handball-specific skills and 2 psychological-based and 2 “biosocial”-based attributes were used. Top elite and nontop elite groups were compared for each variable of interest using Student's t-test, and 5 logistic regression analyses were performed with the athlete's performance group (top elite or nontop elite) as the dependent variable and the variables of each category as predictors. The results showed that (a) body mass, waist girth, radiale-dactylion length, midstylion-dactylion length, and absolute muscle mass (morphologic model); (b) 30-m sprint time, countermovement jump height and average power, abdominal strength and the class of performance in the Yo-Yo Intermittent Endurance Test (fitness model); (c) offensive power (specific-skills model); (d) ego-based motivational orientation (psychological model); (e) socioeconomic status and the energy spent (for week) in handball activity (biosocial model); significantly (p < 0.05) contributed to predict the probability of an athlete to be a top elite team-handball player. Moreover, the fitness model exhibited higher percentages of correct classification (i.e., 91.5%) than all the other models did. This study provided (a) the rational to reduce the battery of tests for evaluation purposes, and (b) the initial step to work on building a multidisciplinary model to predict the probability of a handball athlete to be a top elite player....

Background: Physical activity (PA) is beneficial, enhancing healthy development. However, one-third of school-age children practicing sports regularly suffer from an injury. These injuries are associated with sex, chronological age, and PA level. Purpose: To identify the importance of age, PA level, and maturity as predictors of injury in Portuguese youth. Study Design: Descriptive epidemiological study. Level of Evidence: Level 3. Methods: Information about injury and PA level was assessed via 2 questionnaires (LESADO RAPIL II) from 647 subjects aged 10 to 17 years. Maturity offset according to Mirwald (time before or after peak height velocity) and Tanner-Whitehouse III bone age estimates were used to evaluate maturation. Binary logistic regression and gamma regression were used to determine significant predictors of injury and injury rate. Results: Injury occurrence was higher for both sexes in recreational, school, and federated athletes (athletes engaged in sports that are regulated by their respective federations, with formal competition). These injuries also increased with age in boys and in the higher maturity offset group in girls. Injury rate was higher for both sexes in the no sports participation group. Early-maturing girls, with higher bone age and lower maturity offset, showed higher injury rate. Conclusion: Injuries in Portuguese youth were related to PA level, age, and biological maturation. Recreational, school, and federated athletes had more injury ocurrences while subjects with no sports participation had higher injury risk. Older subjects had more injuries. Early-maturing girls that had just passed peak height velocity may be particularly vulnerable to risk of sports injury because of the growing process. Clinical Relevance: Increased knowledge about injury with specific PA exposure data is important to an overall risk management strategy. This study has deepened the association between injury and biological maturation variables.

Background: Growth can make young athletes more vulnerable to sports injuries. Increased knowledge about injury profile and its predictors is an important part of an overall risk management strategy but few studies have produced information. Methods: Information about injury profile and sports participation (SP) level was obtained by LESADO and RAPIL II questionnaires. They were distributed to 651 participants aged between 10 and 18 years attending four schools. Maturity measures were evaluated through maturity offset (MO) and Tanner-Whitehouse III method. Bivariate analysis was used to identify the set of candidate predictors for multinomial logistic regression analysis that was used to determine significant predictors of injury type and body area injury location. Results: Regarding injury type predictors recreative boys had more chances of having a sprain or a fracture than a strain. Also, recreative and scholar girls had more chances of having a sprain than a strain. As MO decreased, the chances of girls having a strain or a fracture when compared to sprains were higher. For body area location boys with 10–11 years were more likely to have upper limbs injuries than boys of other ages. This was also confirmed by MO. Spine and trunk injuries were more likely to occur in federate and no sports participation girls. Conclusions: Injury type and body area injury location differed significantly by SP level, age group and MO.

Objective: To assess the effectiveness of a 12-week self-management and exercise intervention (the PLE²NO program) in elderly individuals with knee osteoarthritis. Design: Randomized controlled trial. Setting: Four different community settings. Subjects: Eighty individuals aged 60 years or older with clinical and radiographic knee osteoarthritis enrolled in the study. Intervention: A combined self-management and exercise intervention (treatment group) and an educational intervention (control group). Main measures: The primary outcomes were pain and other knee osteoarthritis symptoms (swelling, crackling, limitation on movement, and stiffness), self-management behaviors (communication with physician and cognitive symptom management), and functional lower limb strength. Secondary outcomes were knee osteoarthritis–specific health-related quality of life, self-perceived health, aerobic capacity, lower and upper limb flexibility, and handgrip strength. Results: In all, 67 participants, mean age 69.1 ± 5.8 years, completed the study: 32 in the Educational Group and 35 in the Self-Management and Exercise Group. A significant group effect favorable to the Self-Management and Exercise Group was observed in the following variables: communication with the physicians ( P = .048), aerobic capacity ( P = .035), and functional lower limb strength ( P = .015). Although no significant group effect was detected, clinical improvements in pain (31%) and knee osteoarthritis symptoms (29%) were observed in the experimental group. No improvements regarding cognitive symptom management, self-perceived health, lower limb flexibility, and handgrip strength were found. Conclusion: This study supports the importance of a combined self-management and exercise intervention to improve functional lower limb strength and aerobic capacity in a Portuguese sample. Additionally, pain and other symptoms have improved clinically.