Increasing evidence indicates that compromised vitamin D status, as indicated by serum 25-hydroxyvitamin D (25-OH D), is associated with decreased muscle function. The purpose of this study was to determine the vitamin D status of collegiate athletes residing in the southern U.S. and its effects on muscular strength and anaerobic power. Collegiate athletes (n = 103) from three separate NCAA athletic programs were recruited for the study. Anthropometrics, vitamin D and calcium intake, and sun exposure data were collected along with serum 25-OH D and physical performance measures (Vertical Jump Test, Shuttle Run Test, Triple Hop for Distance Test and the 1 Repetition Maximum Squat Test) to determine the influence of vitamin D status on muscular strength and anaerobic power. Approximately 68% of the study participants were vitamin D adequate (>75 nmol/L), whereas 23% were insufficient (75–50 nmol/L) and 9%, predominantly non-Caucasian athletes, were deficient (<50 nmol/L). Athletes who had lower vitamin D status had reduced performance scores (p < .01) with odds ratios of 0.85 on the Vertical Jump Test, 0.82 on the Shuttle Run Test, 0.28 on the Triple Hop for Distance Test, and 0.23 on the 1 RM Squat Test. These findings demonstrate that even NCAA athletes living in the southern US are at risk for vitamin D insufficiency and deficiency and that maintaining adequate vitamin D status may be important for these athletes to optimize their muscular strength and power.
Rachel A. Hildebrand, Bridget Miller, Aric Warren, Deana Hildebrand and Brenda J. Smith
Angela Tate, Shana Harrington, Melissa Buness, Susan Murray, Caitlin Trout and Corinne Meisel
Youth- through masters-level competitive swimmers incur significant shoulder pain. Risk factors associated with shoulder pain include high swimming yardage, a lack of cross-training, decreased shoulder strength and reduced core endurance, and limited posterior shoulder and pectoral length. Since training, swimming exposure, and physical-performance measures have all been associated with shoulder pain, the methods used to train swimmers may influence the development of shoulder pain, yet studies delineating training methods are lacking.
To identify in-water and dry-land practices among youth- through masters-level swimmers in the United States (US) and describe the potential effects of training practices on swimmers’ shoulders.
A Web-based survey was developed to identify common training practices in 5 areas: quantification of swimming and dry-land training and in-water techniques such as kicking drills, upper-body stretching, shoulder and core strengthening, and cross-training.
156 swim-team coaches or captains of youth, high school, and college swim teams and 196 masters swimmers participated (N = 352). There was geographic representation from across the US.
Responses indicated diverse training practices. However, most respondents used kicking drills, which may provoke shoulder pain due to prolonged poor positioning. High yardage swum by high school and college teams increases their risk of shoulder tendinopathy. Stretching and strengthening exercises and dosages commonly used were inconsistent with current research recommendations and lacked specificity in terms of addressing typical mobility restrictions and muscle weaknesses described in the swimming literature. Core strengthening and cross-training are frequently performed.
Several areas of in-water and dry-land practice were identified that may put swimmers’ shoulders at risk for injury. Further research regarding the safety and efficacy of training programs is recommended to determine optimal methods of injury prevention and performance enhancement.
Lee Taylor, Christopher J. Stevens, Heidi R. Thornton, Nick Poulos and Bryna C.R. Chrismas
Purpose: To determine how a cooling vest worn during a warm-up could influence selected performance (countermovement jump [CMJ]), physical (global positioning system [GPS] metrics), and psychophysiological (body temperature and perceptual) variables. Methods : In a randomized, crossover design, 12 elite male World Rugby Sevens Series athletes completed an outdoor (wet bulb globe temperature 23–27°C) match-specific externally valid 30-min warm-up wearing a phase-change cooling vest (VEST) and without (CONTROL), on separate occasions 7 d apart. CMJ was assessed before and after the warm-up, with GPS indices and heart rate monitored during the warm-ups, while core temperature (T c; ingestible telemetric pill; n = 6) was recorded throughout the experimental period. Measures of thermal sensation (TS) and thermal comfort (TC) was obtained pre-warm-up and post-warm-up, with rating of perceived exertion (RPE) taken post-warm-ups. Results: Athletes in VEST had a lower ΔT c (mean [SD]: VEST = 1.3°C [0.1°C]; CONTROL = 2.0°C [0.2°C]) from pre-warm-up to post-warm-up (effect size; ±90% confidence limit: −1.54; ±0.62) and T c peak (mean [SD]: VEST = 37.8°C [0.3°C]; CONTROL = 38.5°C [0.3°C]) at the end of the warm-up (−1.59; ±0.64) compared with CONTROL. Athletes in VEST demonstrated a decrease in ΔTS (−1.59; ±0.72) and ΔTC (−1.63; ±0.73) pre-warm-up to post-warm-up, with a lower RPE post-warm-up (−1.01; ±0.46) than CONTROL. Changes in CMJ and GPS indices were trivial between conditions (effect size < 0.2). Conclusions: Wearing the vest prior to and during a warm-up can elicit favorable alterations in physiological (T c) and perceptual (TS, TC, and RPE) warm-up responses, without compromising the utilized warm-up characteristics or physical-performance measures.
Aaron D. Sciascia, Arthur J. Nitz, Patrick O. McKeon, Jennifer Havens and Timothy L. Uhl
Patient-reported outcome measures (PROs) and physical performance measures allow clinicians to obtain both a patient’s perspective and a demonstrable assessment regarding their ability to perform activities in the context of disability, dysfunction, or impairment. 1 , 2 Taken individually, each
Patricia A. Hageman, Carol H. Pullen and Michael Yoerger
also examines physical performance measures (400-m walk and timed chair stands) that are objective indicators of physical function. The research targets an understudied population of rural Midwestern women who have documented health disparities, and who are considered a designated priority population
Christine E. Roberts, Louise H. Phillips, Clare L. Cooper, Stuart Gray and Julia L. Allan
out ADLs in older adults. Given that physical performance measures are more likely to be sensitive to change over time ( Goldman, Glei, Rosero-Bixby, Chiou, & Weinstein, 2014 ), self-reported and physical performance measures were analyzed separately. Method Study Design This study was a systematic
Matti Hyvärinen, Sarianna Sipilä, Janne Kulmala, Harto Hakonen, Tuija H. Tammelin, Urho M. Kujala, Vuokko Kovanen and Eija K. Laakkonen
groups are highlighted in bold. Linear regression was utilized for studying the associations of SR-PA scales and ACC-LTPA variables with physical performance measures. The associations were studied using univariate models separately for each physical activity variable as independent variable and with
Jorg Teichmann, Edin K. Suwarganda, C. Martyn Beaven, Kim Hébert-Losier, Jin Wei Lee, Florencio Tenllado Vallejo, Philip Chun Foong Lew, Ramlan Abdul Aziz, Yeo Wee Kian and Dietmar Schmidtbleicher
enhance physical performance measures in a cohort of uninjured elite female field hockey athletes. Methods Participants Participants were 21 female field hockey athletes (age: 23.1 ± 4.1 y) who were currently participating in training with the Malaysian senior national squad and preparing for a major
Daniël M. van Leeuwen, Fabian van de Bunt, Cornelis J. de Ruiter, Natasja M. van Schoor, Dorly J.H. Deeg and Kaj S. Emanuel
= osteoarthritis. a Differences tested using chi-square test. b Presented as mean (standard deviation), differences tested using independent t-test. c Presented as median [interquartile range], differences tested using Mann-Whitney U test. Table 2 shows strength and physical performance measures for
Shane Ball, Mark Halaki, Tristan Sharp and Rhonda Orr
rugby union, body-composition and physical-performance measures are likely to vary between positions. For example, forwards are more likely to be involved in more high-intensity contact events than backs, while backs tend to be involved in high-intensity running, both types of activity requiring