Search

ObjectiveTo undertake a UK-based James Lind Alliance (JLA) Priority Setting Partnership for elbow conditions and be representative of the views of patients, carers and healthcare professionals (HCPs).SettingThis was a national collaborative study organised through the British Elbow and Shoulder Society.ParticipantsAdult patients, carers and HCPs who have managed or experienced elbow conditions, their carers and HCPs in the UK involved in managing of elbow conditions.MethodsThe rigorous JLA priority setting methodology was followed. Electronic and paper scoping surveys were distributed to identify potential research priority questions (RPQs). Initial responses were reviewed and a literature search was performed to cross-check categorised questions. Those questions already sufficiently answered were excluded and the remaining questions were ranked in a second survey according to priority for future elbow conditions research. Using the JLA methodology, responses from HCP and patients were combined to create a list of the top 18 questions. These were further reviewed in a dedicated multistakeholder workshop where the top 10 RPQs were agreed by consensus.ResultsThe process was completed over 24 months. The initial survey resulted in 467 questions from 165 respondents (73% HCPs and 27% patients/carers). These questions were reviewed and combined into 46 summary topics comprising: tendinopathy, distal biceps pathology, arthritis, stiffness, trauma, arthroplasty and cubital tunnel syndrome. The second (interim prioritisation) survey had 250 respondents (72% HCP and 28% patients/carers). The top 18 ranked questions from this survey were taken to the final workshop where a consensus was reached on the top 10 RPQs.ConclusionsThe top 10 RPQs highlight areas of importance that currently lack sufficient evidence to guide diagnosis, treatment and rehabilitation of elbow conditions. This collaborative process will guide researchers and funders regarding the topics that should receive most future attention and benefit patients and HCPs.

The aims of this study were to identify whether relative shape and size characteristics of world-class sprinters have changed over time, and whether any anthropometric parameters characterize the most successful world-class sprinters. The results suggest that body mass index, reflecting greater muscle mass rather than greater adiposity, is an important factor associated with success in both male and female world-class sprinters over time. However, in female athletes the reciprocal ponderal index (RPI) has emerged as a more important indicator of success over several decades, with taller, more linear sprinters achieving greater success, as measured by sprint speed. In male sprinters it is only in the most recent decade that RPI has emerged as an important predictor of success. We speculate that the prominence of the RPI and an ectomophic somatotype being typical of the most successful world-class sprinters might be explained, in part, by the influence of stride length on sprint speed. In conclusion, these results suggest that coaches, selectors, and sports scientists should consider body shape when selecting potential athletes for sprint events, encouraging more linear athletes with a high RPI.

The aim of the present study was to identify when body mass index (BMI) is unlikely to be a valid measure of adiposity in athletic populations and to propose a simple adjustment that will allow the BMI of athletes to reflect the adiposity normally associated with non-athletic populations. Using data from three previously published studies containing 236 athletes from seven sports and 293 age-matched controls, the association between adiposity (sum of 4 skinfold thicknesses, in millimetres) and BMI was explored using correlation, linear regression, and analysis of covariance (ANCOVA). As anticipated, there were strong positive correlations (r = 0.83 for both men and women) and slope parameters between adiposity and BMI in age-matched controls from Study 1 (all P0.001). The standard of sport participation reduced these associations. Of the correlations and linear-regression slope parameters between adiposity and BMI in the sports from Studies 2 and 3, although still positive in most groups, less than half of the correlations and slope parameters were statistically significant. When data from the three studies were combined, the ANCOVA identified that the BMI slope parameter of controls (5.81 mm (kg m(-2))(-1)) was greater than the BMI slope parameter for sports (2.62 mm (kg m(-2))(-1)) and middle-distance runners (0.94 mm (kg m(-2))(-1)) (P0.001). Based on these contrasting associations, we calculated how the BMI of athletes can be adjusted to reflect the same adiposity associated with age-matched controls. This simple adjustment allows the BMI of athletes and non-athletes to be used with greater confidence when investigating the effect of BMI as a risk factor in epidemiological research.

Football coaches and sports scientists are always seeking to identify key characteristics that can distinguish between successful and less successful footballers and teams. The purpose of the present article was to identify whether any body size, shape, and age characteristics might be associated with more successful professional footballers and whether any such characteristics might have changed over time. We found that despite a significant increase in professional footballers' height, body mass, and body mass index (BMI) from 1973-74 to 2003-04, no differences in the body shape parameter, reciprocal ponderal index (RPI) or age were identified. Goalkeepers, central defenders, and central strikers were found to be taller (P < 0.001), heavier (P < 0.001), and older (P < 0.001) than players playing in wider positions, but midfielders and wider players were found to have both lower BMI and RPI than central players. However, when players from successful teams (top six) were compared with less successful teams using binary logistic regression, players from successful teams were found to be taller and more linear (as identified by a greater RPI and ectomorphy score; both P < 0.05) and also younger (P < 0.05), a trend that appears to have increased in the most recent season studied, 2003-2004, a characteristic that is most marked among forwards (P < 0.05). In conclusion, these results suggest that football coaches and talent scouts should pay attention to the body shape (selecting taller/more linear athletes with a high RPI) when selecting potential players for their squads.