, having unstable ankles or previous ankle sprains did not significantly predict the ankle sprains that occurred in the present prospective study. Nevertheless, due to the limited cost and time effectiveness of chronic ankle instability and history of ankle sprain screening, these factors should be
Jérôme Vaulerin, Frédéric Chorin, Mélanie Emile, Fabienne d’Arripe-Longueville and Serge S. Colson
Susumu S. Sawada, I-Min Lee, Hisashi Naito, Koji Tsukamoto, Takashi Muto and Steven N. Blair
Limited data are available on the relationship between muscular and performance fitness (MPF) and the incidence of type 2 diabetes.
A cohort of 3792 Japanese men completed a medical examination that included MPF and cardiorespiratory fitness tests. MPF index composite score was calculated using Z-scores from vertical jump, sit-ups, side step, and functional reach tests.
The mean follow-up period was 187 months (15.6 years). There were 240 patients who developed type 2 diabetes during follow-up. Relative risks and 95% confidence intervals (CI) for incidence of diabetes across baseline quartiles of MPF index composite score were obtained using the Cox proportional hazards model while adjusting for age, BMI, diastolic blood pressure, cigarette smoking, alcohol intake, and family history of diabetes. The relative risks for developing diabetes across quartiles of MPF index composite scores (lowest to highest) were 1.0 (referent), 1.15 (95% CI 0.83−1.60), 1.10 (0.78−1.55), and 0.57 (0.37−0.90) (P for trend = .061). These results were attenuated after adjustment for cardiorespiratory fitness (P for trend = .125).
This prospective study suggests that MPF is a predictor of type 2 diabetes, although its predictive ability was attenuated after adjusting for cardiorespiratory fitness.
Gulcan Harput, Volga B. Tunay and Matthew P. Ithurburn
. It was hypothesized that there would be a consistent increase in quadriceps and hamstring muscle strength of the involved limb over the first 6 months following ACLR. Methods This was a prospective study of registry data collected for all patients who underwent primary, arthroscopic autograft ACLR
Jakob Tarp, Anna Bugge, Niels Christian Møller, Heidi Klakk, Christina Trifonov Rexen, Anders Grøntved and Niels Wedderkopp
with body weight, some associations were lost. Five different approaches to model out the potential confounding effect of body weight were employed in as many prospective studies 12 , 13 , 31 , 32 , 37 limiting comparability between the studies. The potential for evidence synthesis is thus reduced
Richard Johnston, Roisin Cahalan, Laura Bonnett, Matthew Maguire, Alan Nevill, Philip Glasgow, Kieran O’Sullivan and Thomas Comyns
characteristics, and IP risk. 14 A recent systematic review of ESPs 6 has identified nonmodifiable baseline characteristics (ie, increased age, history of previous IP), that are associated with increased IP risk. The aim of this prospective study was to determine the association between TL factors including
Javier Raya-González, Luis Suárez-Arrones, Archit Navandar, Carlos Balsalobre-Fernández and Eduardo Sáez de Villarreal
professional football using a risk based assessment process . Br J Sports Med . 2002 ; 36 ( 6 ): 446 – 451 . PubMed ID: 12453840 doi:10.1136/bjsm.36.6.446 10.1136/bjsm.36.6.446 12453840 4. Hägglund M , Waldén M , Ekstrand J . Injury incidence and distribution in elite football—a prospective study of
Timothy J.H. Lathlean, Paul B. Gastin, Stuart V. Newstead and Caroline F. Finch
prospective study . Br J Sports Med . 2016 ; 50 ( 11 ): 651 – 656 . PubMed ID: 26552415 doi:10.1136/bjsports-2015-094798 10.1136/bjsports-2015-094798 7. Lathlean TJH , Gastin PB , Newstead SV , Finch CF . Elite junior Australian football players experience significantly different loads across
Andrew P. Hill, Joachim Stoeber, Anna Brown and Paul R. Appleton
Perfectionism is a personality characteristic that has been found to predict sports performance in athletes. To date, however, research has exclusively examined this relationship at an individual level (i.e., athletes’ perfectionism predicting their personal performance). The current study extends this research to team sports by examining whether, when manifested at the team level, perfectionism predicts team performance. A sample of 231 competitive rowers from 36 boats completed measures of self-oriented, team-oriented, and team-prescribed perfectionism before competing against one another in a 4-day rowing competition. Strong within-boat similarities in the levels of team members’ team-oriented perfectionism supported the existence of collective team-oriented perfectionism at the boat level. Two-level latent growth curve modeling of day-by-day boat performance showed that team-oriented perfectionism positively predicted the position of the boat in midcompetition and the linear improvement in position. The findings suggest that imposing perfectionistic standards on team members may drive teams to greater levels of performance.
Nikos Ntoumanis, Vassilis Barkoukis, Daniel F. Gucciardi and Derwin King Chung Chan
We brought together various lines of work on motivation, morality, and doping by testing a theory-based model prospectively linking contextual and personal motivational variables, moral attitudes, moral disengagement in doping, doping intentions, and doping use. Participants were 257 Greek athletes who completed a questionnaire pack at the beginning of a sport season. In the case of doping use, we also obtained data close to the end of the same season. The model showed that perceptions of controlling coach behaviors predicted athlete need frustration, which in turn predicted low moral functioning and doping intentions/doping use. The findings highlight pathways (direct and indirect) by which the social environment may impact on athletes’ intentions and decisions to engage in doping and could pave the way for future antidoping interventions aimed at improving coaching interpersonal style.
Joey Lightner, Brandon C. Irwin and Matthew Chrisman
Background: Social relationships are among the strongest predictors of health. The extent to which one is embedded in social networks, also referred to as social integration, has been associated with physical activity in short-term longitudinal and cross-sectional studies. How changes in social integration impact physical activity over longer periods of time is not well understood. Methods: Longitudinal data from 5 waves of the Americans’ Changing Lives study were used (wave 1: n = 3617; wave 5: n = 1427). Data were modeled using latent growth curves to understand the trajectories of social integration and physical activity, separately. Latent interlocking growth curve methods were used to understand if and how changes in social integration predicted changes in physical activity. Results: Physical activity did not change over the 25-year period (P = .68). Social integration significantly decreased (P = .025). Changes in social integration predicted changes in physical activity (β = 0.12, P < .05). Conclusions: Changes in how often adults speak to family and friends predict changes in physical activity across a 25-year period. Group- and social network–focused physical activity research, advocacy, and interventions are warranted.