Stress fractures are common among elite ballet dancers whereby musculoskeletal health may be affected by energy balance and overtraining. Purpose This study aimed to characterize bone health in relation to stress fracture history, body composition, eating disorder risk, and blood biomarkers in professional male and female ballet dancers. Methods A single cohort of 112 dancers (male: 55, 25 ± 6 yr; female: 57, 24 ± 6 yr) was recruited. All participants underwent bone and body composition measures using dual-energy x-ray absorptiometry. In a subset of our cohort (male: 30, 24 ± 6 yr; female, 29, 23 ± 5 yr), a blood panel, disordered eating screen, menstrual history, and stress fracture history were also collected. Age-matched Z scores and young-adult T scores were calculated for bone mineral density (BMD) and body composition. Independent-samples t-tests and Fisher’s exact tests were used to compare BMD, Z-scores, T scores, and those with and without history of stress fractures. A 1 × 3 ANOVA was used to compare BMD for those scoring 0–1, 2–6, and 7+ using the EAT26 questionnaire for eating disorder risk. Regression was used to predict BMD from demographic and body composition measures. Results Female dancers demonstrated reduced spinal (42nd percentile, 10%T < −1) and pelvic (16th percentile, 76%T < −1) BMD. Several anthropometric measures were predictive of BMD (P < 0.05, r 2 = 0.65–0.81, standard error of estimate = 0.08–0.10 g·cm−2, percent error = 6.3–8.5). Those scoring >1 on EAT26 had lower BMD than did those with a score of 0–1 (P < 0.05). Conclusions Professional female ballet dancers exhibit reduced BMD, fat mass, and lean mass compared with the general population whereby low BMD and stress fractures tend to be more prevalent in those with a higher risk of disordered eating. Anthropometric and demographic measures are predictive of BMD in this population.

Physician rating websites (PRWs) rate physicians based on experiences of previous patients. Although a high rating is desirable, it may not correlate with quality of care, experience, or other physician-specific variables. This study examined the impact of physician-specific variables, such as American Board of Orthopaedic Surgery Sports Certificate of Added Qualification (CAQ) status, years in practice, sex, and geographic location, on the PRW patient satisfaction rating and number of ratings. A list of orthopedic sports medicine surgeons was obtained from the American Orthopaedic Society for Sports Medicine database. Demographic data were recorded. Surgeon profiles were gathered from the most commonly used PRWs (Healthgrades and Vitals), and a mean rating value was recorded on a 1- to 5-star scale. The t test and analysis of variance were used for comparisons. Multivariable linear regression was used to identify factors contributing to PRW ratings. Female sex had the biggest positive effect on PRW rating ( R =0.04, P =.029). The PRW rating was positively affected by the number of ratings ( R =0.04, P <.001) and negatively affected by an increase in years of practice ( R =0.04, P <.001). Surgeons with fewer than 10 years in practice had higher PRW ratings than surgeons practicing longer than 10 years. The PRW ratings were not affected by sports CAQ status or geographic location. Fewer years in practice, female sex, and greater number of reviews were associated with higher PRW ratings. Number of reviews was the only modifiable factor. There was no observed association between sports medicine CAQ status and PRW rating. [ Orthopedics . 2021;44(2):e281–e286.]

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Background The functional movement screen (FMS™) and Y-balance test (YBT) are commonly used to evaluate mobility in athletes. Purpose The primary aim of this investigation was to determine the relationship between demographic and anthropometric factors such as sex, body composition, and skeletal dimension and scoring on YBT and FMS™ in male and female professional soccer athletes. Study Design Cross Sectional Methods During pre-season assessments, athletes from two professional soccer clubs were recruited and underwent body composition and skeletal dimension analysis via dual-energy X-ray absorptiometry (DEXA) scans. Balance and mobility were assessed using the YBT and FMS™. A two-tailed t-test was used to compare YBT between sexes. Chi-square was used for sex comparisons of FMS™ scores. Correlation analysis was used to determine if body composition and/or skeletal dimensions correlated with YBT or FMS™ measures. Type-I error; α=0.05. Results 40 Participants were successfully recruited: (24 males: 27±5yr, 79±9kg; |16 females: 25±3yr, 63±4kg). YBT: Correlations were found between anterior reach and height (r=-0.36), total lean mass (LM)(r=-0.39), and trunk LM(r=-0.39) as well as between posterolateral reach and pelvic width (PW)(r=0.42), femur length (r=0.44), and tibia length (r=0.51)(all p<0.05). FMS™: The deep squat score was correlated with height(r=-0.40), PW(r=0.40), LM(r=-0.43), and trunk LM (r =-0.40)(p<0.05). Inline lunge scores were correlated with height(r=-0.63), PW(r=0.60), LM(r=-0.77), trunk LM(r=-0.73), and leg LM(r=0.70)(all p<0.05). Straight leg raise scores were correlated with PW (r=0.45, p<0.05). Females scored higher for the three lower body FMS™ measures where correlations were observed (p<0.05). Conclusions Lower body FMS™ scores differ between male and female professional soccer athletes and are related to anthropometric factors that may influence screening and outcomes for the FMS™ and YBT, respectively. Thus, these anatomical factors likely need to be taken into account when assessing baseline performance and risk of injury to improve screening efficacy. Level of Evidence Level 3b