. 19 Placental weight was measured immediately after delivery after the removal of the umbilical cord and fetal membranes. Gestational weight gain was measured as self-reported prepregnancy weight subtracted from the measured weight at 38 weeks gestation. Statistical Analysis Participant
Taniya S. Nagpal, Catherine Everest, Sara C.S. Souza, Danilo F. da Silva, Shuhiba Mohammad, Jayonta Bhattacharjee and Kristi B. Adamo
Meghan Edwards and Paul Loprinzi
behaviors (eg, physical activity) with AIP and the previously mentioned mixed results of experimental work on physical activity and AIP, the purpose of the present brief report was to examine the dose–response association of moderate to vigorous physical activity (MVPA) and AIP among a nationally
Erik A. Wikstrom, Sajad Bagherian, Nicole B. Cordero and Kyeongtak Song
ankle joint mobilizations on patient-reported outcomes in patients with CAI remain unclear. Focused Clinical Question Do anterior-to-posterior ankle joint mobilizations improve patient-reported outcomes in patients with CAI? Summary of Search, “Best Evidence” Appraised, and Key Findings • The literature
Roberto Baldassarre, Marco Bonifazi, Romain Meeusen and Maria Francesca Piacentini
which the athlete can provide propulsion in the most economical manner. 4 Improving buoyancy, propelling efficiency, and gliding ability will reduce overall energy cost 5 but requires additional training hours. Therefore, the aim of the present brief report is to describe training volume and intensity
Dierdra Bycura, Pamela Hodges Kulinna, Janice Jirsak and Rachelle Jones
The purpose of this study was to explore Native American students’ participation patterns and self-reported physical activities. Participants (N = 376) completed the previously validated Physical Activity Questionnaire (PAQ) a four part 83-item recall questionnaire from the NIH Pathways Study. Data analyses included internal consistency reliability, descriptive statistics and Kappa tests investigating stability over reporting time periods. Similar to urban students’ reports, these Native American students reported frequent participation in only a few types of physical activities along with common reports of sedentary behaviors. While this study adds to our knowledge of Native American students’ physical activity preferences and activity patterns, more information is needed to aid development of specific, culturally relevant physical activity programming.
Tyson M. Bain, Georita M. Frierson, Elaine Trudelle-Jackson and James R. Morrow Jr.
Self-report measures have been validated and are widely used. Interest currently lies in the development of simple, valid methods that can be used in any location to determine level of PA in large populations/samples. The purpose of this report is to illustrate tracking of physical activity behaviors and musculoskeletal injury reports on a weekly basis via the Internet.
The Women’s Injury Study (WIN) methodology includes use of BRFSS-related physical activity items that are completed online by more than 900 women weekly for an average of 3 years.
With more than 45,000 weekly physical activity and injury logs, the percentage of total logs submitted via online records is 91%. Self-reported pedometer steps are consistent with similar, smaller research samples.
This report suggests that Internet tracking is a viable means of assessing nearly real-time physical activity, describes the process of developing and monitoring self-reported physical activity behaviors via the Internet, and provides recommendations for others considering such methods.
Richard P. Troiano, Kelley K. Pettee Gabriel, Gregory J. Welk, Neville Owen and Barbara Sternfeld
Advances in device-based measures have led researchers to question the value of reported measures of physical activity or sedentary behavior. The premise of the Workshop on Measurement of Active and Sedentary Behaviors: Closing the Gaps in Self-Report Methods, held in July 2010, was that assessment of behavior by self-report is a valuable approach.
To provide suggestions to optimize the value of reported physical activity and sedentary behavior, we 1) discuss the constructs that devices and reports of behavior can measure, 2) develop a framework to help guide decision-making about the best approach to physical activity and sedentary behavior assessment in a given situation, and 3) address the potential for combining reported behavior methods with device-based monitoring to enhance both approaches.
After participation in a workshop breakout session, coauthors summarized the ideas presented and reached consensus on the material presented here.
To select appropriate physical activity assessment methods and correctly interpret the measures obtained, researchers should carefully consider the purpose for assessment, physical activity constructs of interest, characteristics of the population and measurement tool, and the theoretical link between the exposure and outcome of interest.
Craig Donnachie, Kate Hunt, Nanette Mutrie, Jason M.R. Gill and Paul Kelly
options and challenges ( Warren et al., 2010 ). Subjective (i.e., self-reported) PA measures are commonly employed in population and intervention studies as they are easy to use and cost less than objective (i.e., device-based) assessment. Wearable device-based technologies, such as accelerometers, have
Ilona I. McMullan, Brendan P. Bunting, Lee Smith, Ai Koyanagi and Mark A. Tully
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
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