. Future research should aim to include equal male and female student-athletes, with a larger sample over a longer period. Observing baseline changes over a college career would give clinicians a better understanding of how often to collect baseline data, as there are no consistent recommendations
Ryan Morrison, Kyle M. Petit, Chris Kuenze, Ryan N. Moran and Tracey Covassin
Lorna H. McNeill, Karolina Murguia, Nga Nguyen and Wendell C. Taylor
Walking trails are positively associated with physical activity; however, few studies have been conducted among diverse communities. We sought to describe trail use and the physical and social environmental correlates of trail use in a racially/ethnically diverse sample.
We administered an on-site trail intercept survey to walkers on a trail (N = 175). We assessed frequency/duration of trail use, reasons for using the trail, perceptions of the trail, demographics and BMI.
Walkers were primarily young (mean age = 37.8 years, SD = 11.8) and overweight (mean BMI = 25.2 kg/m2, SD = 4.2). Time spent on the trail and frequency of trail use differed significantly by age (P = .004) but not race/ethnicity. Perceptions of the trail differed significantly by sex and race/ethnicity (P-values = .001, .014, respectively). In regression models, different factors predicted time spent on the trail and frequency of trail use.
Walkers were frequent users of the trail and cited many favorable features of the trail that encouraged their use. Duration and frequency of trail use did not differ by race/ethnicity or sex, thereby indicating that when provided with safe access, racial/ethnic minorities and women may be likely to use trails at rates similar to those of Whites and men.
Edgar J. Gallardo and Andrew R. Coggan
sources readily accessible by athletes. Products were purchased from local grocers, large online retailers, specialized “health food” websites, or directly from the producer. Our initial goal was to obtain samples from three different lots of each product, but in many instances, infrequent production runs
Kathryn L. Weston, Nicoleta Pasecinic and Laura Basterfield
study sample (eg, participants’ age and socioeconomic status). Data sets from the East of England, for example, involved participants from rural and urban areas where levels of deprivation were lower than the English national average ( 10 , 50 ), whereas studies in the South East and North West are more
Meghan Edwards and Paul Loprinzi
representative sample of US adults. Such a study, to the authors’ knowledge, has yet to be conducted. Examining this dose–response association within a nationally representative sample will increase the evidence supporting a biological link between the physical activity and the AIP and will maximize the
Nathan A. Reis, Kent C. Kowalski, Amber D. Mosewich and Leah J. Ferguson
Clairo ( 2018 ) did not assess inclusive masculinity. Studies involving samples exclusively comprised of men, albeit outside of the sport context (e.g., homosexual men, university-aged men), might shed additional light on whether self-compassion can be an effective resource for men athletes. The most
Kelsie M. Full, Eileen Johnson, Michelle Takemoto, Sheri J. Hartman, Jacqueline Kerr, Loki Natarajan, Ruth E. Patterson and Dorothy D. Sears
biomarkers of reallocating time spent in SB, LIPA, and MVPA in a sample of postmenopausal breast cancer survivors. The goal of these analyses is to explore how the reallocation of time spent in daytime activities may be beneficial to markers of breast cancer recurrence. This study may provide insight on
Richard A. Brindle, David Ebaugh and Clare E. Milner
. Participants were pain free while walking, squatting, or moving their hips and had a body mass index less than 30 kg/m 2 . A priori power analyses for ICC and a 1-sample t test were performed. For reliability, a minimum sample size of 19 was required to achieve an ICC of at least .7 with a target ICC of .9
Nathan Millikan, Dustin R. Grooms, Brett Hoffman and Janet E. Simon
reliability of 0.9. The sample size needed is 18. Expected reliability was based on Ross et al 31 who demonstrated hop testing is highly reliable. Participants Nine male and 13 female (20.9 [2.5] y, 171.2 [11.7] cm, 70.3 [11.0] kg) college students volunteered. All participants were healthy, active for 3
Erin Strutz, Raymond Browning, Stephanie Smith, Barbara Lohse and Leslie Cunningham-Sabo
, and duration of PA. 17 The GENEActiv ACC (Activinsights Ltd, Cambridge, UK) is one such device that collects raw (ie, not processed) acceleration data and allows for a user-determined sampling frequency ranging from 10 to 100 Hz. This waterproof, wrist-mounted device has been validated for use in