indication of the correlation between PA and vision, they do not explore the association between PA and VI over time, and so limits the interpretation of causality ( Schmidt, Tittlbach, Bos, & Woll, 2017 ). This study aims to understand the association between self-reported PA and self-rated vision in a
Ilona I. McMullan, Brendan P. Bunting, Lee Smith, Ai Koyanagi and Mark A. Tully
Silvia A. González, Joel D. Barnes, Patrick Abi Nader, Dolores Susana Andrade Tenesaca, Javier Brazo-Sayavera, Karla I. Galaviz, Marianella Herrera-Cuenca, Piyawat Katewongsa, Juan López-Taylor, Yang Liu, Bilyana Mileva, Angélica María Ochoa Avilés, Diego Augusto Santos Silva, Pairoj Saonuam and Mark S. Tremblay
settings of influence for its promotion, is needed. In response to these needs, Active Healthy Kids Canada and subsequently the Active Healthy Kids Global Alliance (AHKGA) have led the harmonized development of country-specific physical activity Report Cards, synthesizing the best available evidence on how
Carolina F. Wilke, Samuel P. Wanner, Weslley H.M. Santos, Eduardo M. Penna, Guilherme P. Ramos, Fabio Y. Nakamura and Rob Duffield
or training recovery timeline provides reference for the expected extent of readiness to perform, reported as 72 hours after soccer matches 2 and 24 hours after soccer small-sided games training. 3 However, such expected time for postmatch recovery is based on mean cohort (team) data in single
Heidi R. Thornton, Jace A. Delaney, Grant M. Duthie, Brendan R. Scott, William J. Chivers, Colin E. Sanctuary and Ben J. Dascombe
To identify contributing factors to the incidence of illness for professional team-sport athletes, using training load (TL), self-reported illness, and well-being data.
Thirty-two professional rugby league players (26.0 ± 4.8 y, 99.1 ± 9.6 kg, 1.84 ± 0.06 m) were recruited from the same club. Players participated in prescribed training and responded to a series of questionnaires to determine the presence of self-reported illness and markers of well-being. Internal TL was determined using the session rating of perceived exertion. These data were collected over 29 wk, across the preparatory and competition macrocycles.
The predictive models developed recognized increases in internal TL (strain values of >2282 AU, weekly TL >2786 AU, and monotony >0.78 AU) to best predict when athletes are at increased risk of self-reported illness. In addition, a reduction in overall well-being (<7.25 AU) in the presence of increased internal TL, as previously stated, was highlighted as a contributor to self-reported-illness occurrence.
These results indicate that self-report data can be successfully used to provide a novel understanding of the interactions between competition-associated stressors experienced by professional team-sport athletes and their susceptibility to illness. This may help coaching staff more effectively monitor players during the season and potentially implement preventive measures to reduce the likelihood of illnesses occurring.
Stacy A. Clemes, Beverley M. David, Yi Zhao, Xu Han and Wendy Brown
In light of evidence linking sedentary behaviors to health outcomes, there have been calls for the measurement of sedentary behavior in surveillance studies. This study examined the convergent validity of 2 self-report measures of sitting time and accelerometer-determined sedentary time (minutes/day of <100 counts/minute).
44 adults wore an ActiGraph accelerometer for 7 days, during which they also recorded daily sitting time in a diary, in response to a single-item question. After 7 days, participants completed a new domain-specific questionnaire to assess usual weekday and weekend-day sitting time. Total sitting times recorded from the self-report measures were compared with accelerometer-determined sedentary time.
Total sitting time calculated from the domain-specific questionnaire did not differ significantly from accelerometer-determined sedentary time on weekdays (mean difference [±SE] = –14 ± 28 mins/day) and weekend days (–4 ± 45 mins/day, both P > .05). Sitting time was significantly underestimated using the single-item specific-day question on weekdays (–173 ± 18 mins/day) and weekend days (–219 ± 23 mins/day, both P < .001).
When assessed via self-report, the estimation of total sitting time is improved by summing sitting times reported across different domains. The continued improvement of self-report measures of sitting time will be important if we are to further our understanding of the links between sedentary behavior and health.
Kelly L. Adler, P. Christopher Cook and Brian D. Giordano
Injury to the rectus femoris (RF) myotendinous complex is the most common location of quadriceps injury, due to combined loads of stretch and eccentric muscular activation. To our knowledge, open proximal RF repair has been reported, but a thorough description of postoperative rehabilitation and functional progression of athletic activity has not been described. This case report outlines the rehabilitation of a 30-year-old female following open proximal RF repair after 15 months of failed conservative treatment. Six months postoperatively she returned to competitive recreational soccer with no complaints.
Elva M. Arredondo, Tamar Mendelson, Christina Holub, Nancy Espinoza and Simon Marshall
The validity of physical activity (PA) self-report measures can be a problem when using these measures with target populations that differ from the population for which the measures were originally developed.
Describe an approach to further tailor PA self-report measures to a target community, and report on focus group and cognitive interview findings.
Topics relevant to culturally tailoring measures are discussed, including translation, focus groups, and cognitive interviews. We describe examples from our own work, including focus groups and cognitive interviews conducted to assess Latinos’ interpretations of PA questions derived from various epidemiological surveys that were developed in White communities.
Findings from focus groups and cognitive interviews provide valuable information about the comprehension, interpretation, and cultural relevance of the PA questions to Latino communities.
It is recommended that investigators collect formative data to better assess the equivalence of items being applied to a different cultural group. Guidelines for cultural attunement of self-report instruments are described to promote more uniform and rigorous processes of adaptation and facilitate cross-cultural investigations.
Mark A. Sutherlin
Clinical Scenario Widespread patient-reported outcome (PRO) use in athletic training is still marginal. 1 As sport injury pathologies tend to affect and are reported for individual body parts (e.g., ankle, knee, etc.) or more broadly across regions (e.g., the upper or lower extremity), 2 it is
Jaclyn Megan Sions, Elisa Sarah Arch and John Robert Horne
prosthetic componentry. There is no criterion reference for assessing physical activity; therefore, clinicians may opt to use self-report measures or step activity monitors to determine physical activity levels. According to a 2008 systematic review by Prince et al, 20 patients often overestimate or
Øystein Sylta, Espen Tønnessen and Stephen Seiler
The purpose of this study was to validate the accuracy of self-reported (SR) training duration and intensity distribution in elite endurance athletes.
Twenty-four elite cross-country skiers (25 ± 4 y, 67.9 ± 9.88 kg, 75.9 ± 6.50 mL · min−1 · kg−1) SR all training sessions during an ~14-d altitude-training camp. Heart rate (HR) and some blood lactate measurements were collected during 466 training sessions. SR training was compared with recorded training duration from HR monitors, and SR intensity distribution was compared with expert analysis (EA) of all session data.
SR training was nearly perfectly correlated with recorded training duration (r = .99), but SR training was 1.7% lower than recorded training duration (P < .001). SR training duration was also nearly perfectly correlated (r = .95) with recorded training duration >55% HRmax, but SR training was 11.4% higher than recorded training duration >55% HRmax (P < .001) due to SR inclusion of time <55% HRmax. No significant differences were observed in intensity distribution in zones 1–2 between SR and EA comparisons, but small discrepancies were found in zones 3–4 (P < .001).
This study provides evidence that elite endurance athletes report their training data accurately, although some small differences were observed due to lack of a SR “gold standard.” Daily SR training is a valid method of quantifying training duration and intensity distribution in elite endurance athletes. However, additional common reporting guidelines would further enhance accuracy.