ABSTRACT
While the butterfly stroke has received considerable attention in sports science, the origin of the fastest master butterfly swimmers remains unknown. The present study investigated which geographical locations produce the top-performing master butterfly swimmers within their age groups and gender. A total of 26,512 master butterfly swimmers (11,288 women and 15,224 men) competed in 50 m, 100 m and 200 m races in World Masters Championships held between 1986 and 2019. From each swimmer, the year of competition, first name, last name, age group and distance were recorded. Descriptive data were presented using mean, standard deviation, maximum and minimum values, and/or confidence intervals. The top 10 race times for master butterfly swimming and gender were identified for descriptive purposes. Nationalities were then grouped into six categories: the top five nationalities with the most appearances in the top 10 fastest times in butterfly swimming by distance each year and one group consisting of all other nationalities. In the event of a tie, the nationality with the most participants overall was selected. Generalized linear models (GLMs) with a gamma probability distribution and log link function were used to assess the effect of age groups and gender on swimming time. In summary, Germany had the fastest women butterfly master swimmers across all distances, while the USA had the fastest men butterfly master swimmers for all distances. Men covered all distances faster than women and younger swimmers were quicker than older swimmers. The results of this study can be utilized to determine the countries that produce the most successful master butterfly swimmers, providing a foundation for further research to explore the factors that lead to their success.
ABSTRACT
OBJECTIVES: To determine if early surgery before 12h confers a survival or length of stay benefit for patients with neck of femur (NOF) fractures. DESIGN: Retrospective review of prospectively collected data. SETTING: District general hospital. PATIENTS: 1913 patients aged over 60 admitted with a fractured NOF who underwent surgery between 2011 and 2015. Mean age was 83.9 years. 73.7% were female. INTERVENTION: Patients had surgery for fractured NOF with data collected on demographics, mortality and length of stay. MAIN OUTCOME MEASUREMENTS: Data collected included gender, age, ASA grade, fracture anatomy, surgery, time to surgery, days spent in acute hospital and rehabilitation settings and 30-day mortality. Statistical analysis was used to identify independent predictors of mortality and length of stay. RESULTS: 30-day mortality was 6.1% and the mean hospitalisation time was 13±11.3days for the acute hospital and 20.2±17.2days for the trust. Operations were performed at a mean of 23.8±14.8h after presentation. Age, gender, ASA grade and type of fracture were independent predictors of either mortality or length of stay. Timing of surgery had an association with mortality but this only reached statistical significance at 24h. In line with previous studies we analysed time to surgery in 12h blocks. We also used logistic regression, recognizing time as a continuous variable, which revealed that every hour of delay to surgery increased the mortality risk by 1.8%. CONCLUSIONS: While every hour of delay increased mortality risk, the association with mortality only became statistically significant when delaying over 24h. This supports a pragmatic approach, with surgery as soon as medically possible without a race to theatre. LEVEL OF EVIDENCE: Level III retrospective cohort study.
