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Prevalence and Factors Associated With Injuries in Elite Spanish Volleyball

Álvaro Cuñado-González, Aitor Martín-Pintado-Zugasti, and Ángel L. Rodríguez-Fernández

The prevalence of injury in volleyball is considered lower than in other team sports, such as basketball, handball, or soccer. 1 , 2 These differences are thought to be the consequence of the noncontact nature of volleyball. 3 , 4 However, volleyball injuries accounted for 5.3% of all sports

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Assessment of Injury History, Severity, and Medical Care for Athletes Participating in Brazilian Jiu-Jitsu

Hiromichi Usuki, Nealy Grandgenett, Sofia Jawed-Wessel, Adam B. Rosen, and Melanie L. McGrath

information: prevalence and recent injury history. A “current injury” (prevalence) was identified by asking, “Do you currently have an injury that occurred as a result of BJJ?”, while a “resolved injury” (recent injury history) was identified by asking, “Have you experienced an injury as a result of BJJ at

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Updated National Estimates of Disparities in Physical Activity and Sports Participation Experienced by Children and Adolescents With Disabilities: NSCH 2016–2017

Samantha M. Ross, Ellen Smit, Joonkoo Yun, Kathleen Bogart, Bridget Hatfield, and Samuel W. Logan

children without visual impairments, per parental report. 10 In contrast, the prevalence of meeting PA guidelines was observed to be comparable between children receiving special education services and their peers. 11 A recent meta-analysis strengthened the evidence that children with disabilities

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Patterns of Physical Activity and Sedentary Behavior During the COVID-19 Pandemic in the Thai 2021 National Health Survey

Thitikorn Topothai, Viroj Tangcharoensathien, Rapeepong Suphanchaimat, Nicholas Alexander Petrunoff, Orana Chandrasiri, and Falk Müller-Riemenschneider

noncommunicable diseases. 6 , 7 For instance, the prevalence of diabetes and hypertension among Thai adults aged 15 years and above increased from 8.9% and 24.7% in 2015 6 to 9.5% and 25.4% in 2020, 7 respectively. Thailand has launched several initiatives to encourage its citizens to be physically active and

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What Lies Beneath: Exploring Different Depressive Symptoms Across Selected Risk Factors in Icelandic Team Sport Athletes

Richard Tahtinen, Hafrun Kristjansdottir, Daniel T. Olason, and Robert Morris

is now an empirically grounded consensus that athletes are a unique population challenged by a range of generic and sport-specific stressors ( Küttel & Larsen, 2019 ; Reardon et al., 2019 ; Wolanin et al., 2015 ) and that prevalence rates of depressive symptoms in athletes may be comparable with

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Validity and Reliability of the Persian Version of Barriers to Physical Activity Questionnaire for People With Mobility Impairments

Alireza Khani, Mahmood Bahramizadeh, Mohammad Ali Mardani, and Taher Babaee

purposes and considering the difference in climate, infrastructures, government policies, and culture of countries with different stages of development we aim to report the prevalence and severity of the experienced barriers in individuals with mobility impairments in Iran. Materials and Methods

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Considerations for Physical Activity Research: Variations on a Theme

Sandra A. Ham, Caroline A. Macera, Deborah A. Jones, Barbara E. Ainsworth, and Kathleen M. Turczyn

Purpose:

To explore among demographic groups the differences in prevalence estimates of physical activity that may occur as a result of differences in survey design characteristics, including question wording, placement, and examples of activities.

Methods:

We compared responses to similar physical activity instruments administered to large samples of adults in 1999 (n = 9,775), 2000 (n = 32,374), and 1999–2000 (n = 7,529). The questions assessed participation in non-occupational physical activity at vigorous and moderate intensities. Surveys used in-person or telephone interviews.

Results:

The prevalence of recommended levels of physical activity (i.e., ≥3 days and ≥20 min vigorous activities or ≥5 days and ≥30 min moderate activities) varied 10% across 3 surveys. Although survey design characteristics varied, higher prevalence was associated with the use of examples to measure multiple domains of activity and question order.

Conclusions:

Measuring multiple domains is important for assessing health-related physical activity. These results suggest that physical activity measurement varies with question and survey design characteristics.

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Measuring Walking for Physical Activity Surveillance—The Effect of Prompts and Respondents’ Interpretation of Walking in a Leisure-Time Survey

Dafna Merom, Heather Bowles, and Adrian Bauman

Background:

Walking is the most prevalent form of leisure time physical activity (LTPA). Advances in measurement of walking depend on understanding sources of error in self report. We examined the effect of prompting “walking for exercise, recreation, and sport” (WERS) upon surveillance estimates of LTPA and assessed what types of walking were recalled when reporting LTPA generally and when WERS was prompted specifically.

Methods:

Data were collected by telephone survey from a random sample of 3,415 Australian adults (≥15yrs). Respondents were asked first to recall any type of LTPA they participated in (unprompted) and if walking was not mentioned, WERS was prompted. All walkers were asked to describe the type of walking they did. Open-ended responses were categorized according to physical activity measurement dimensions.

Results:

Forty three percent did not report WERS unless prompted to do so. The prevalence of meeting recommendations by all LTPA was reduced by 10% for both genders and across all age groups if not prompted to recall WERS. The interpretation of WERS was broad and included travel related walking and dog walking whether unprompted or prompted.

Conclusions:

Current challenges in walking surveillance include ensuring that both researchers and respondents understand WERS in a standardized manner.

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Patterns and Determinants of Physical Inactivity in Rural and Urban Areas in Peru: A Population-Based Study

J. Jaime Miranda, Rodrigo M. Carrillo-Larco, Robert H Gilman, Jose L. Avilez, Liam Smeeth, William Checkley, Antonio Bernabe-Ortiz, and the CRONICAS Cohort Study Group*

Background:

Physical inactivity and sedentary behaviors have been linked with impaired health outcomes. Establishing the physical inactivity profiles of a given population is needed to establish program targets and to contribute to international monitoring efforts. We report the prevalence of, and explore sociodemographical and built environment factors associated with physical inactivity in 4 resource-limited settings in Peru: rural Puno, urban Puno, Pampas de San Juan de Miraflores (urban), and Tumbes (semiurban).

Methods:

Cross-sectional analysis of the CRONICAS Cohort Study’s baseline assessment. Outcomes of interest were physical inactivity of leisure time (<600 MET-min/week) and transport-related physical activity (not reporting walking or cycling trips) domains of the IPAQ, as well as watching TV, as a proxy of sedentarism (≥2 hours per day). Exposures included demographic factors and perceptions about neighborhood’s safety. Associations were explored using Poisson regression models with robust standard errors. Prevalence ratios (PR) and 95% confidence intervals (95% CI) are presented.

Results:

Data from 3593 individuals were included: 48.5% males, mean age 55.1 (SD: 12.7) years. Physical inactivity was present at rates of 93.7% (95% CI 93.0%–94.5%) and 9.3% (95% CI 8.3%–10.2%) within the leisure time and transport domains, respectively. In addition, 41.7% (95% CI 40.1%–43.3%) of participants reported watching TV for more than 2 hours per day. Rates varied according to study settings (P < .001). In multivariable analysis, being from rural settings was associated with 3% higher prevalence of leisure time physical inactivity relative to highly urban Lima. The pattern was different for transport-related physical inactivity: both Puno sites had around 75% to 50% lower prevalence of physical inactivity. Too much traffic was associated with higher levels of transport-related physical inactivity (PR = 1.24; 95% CI 1.01–1.54).

Conclusions:

Our study showed high levels of inactivity and marked contrasting patterns by rural/urban sites. These findings highlight the need to generate synergies to expand nationwide physical activity surveillance systems.

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Prevalence of Participating in Physical Activity From 2 Korean Surveillance Systems: KNHANES and KCHS

JooYong Park, Aesun Shin, Miyoung Lee, Jaesung Choi, Minkyo Song, Yeonjung Kim, Jong-koo Lee, Daehee Kang, and Ji-Yeob Choi

prevalence of PA is important for providing data for setting health goals, monitoring trends, identifying high-risk groups, creating awareness, developing and evaluating programs, and supporting policy and legislation. 7 With various efforts of surveillance systems to monitor and comprehend PA behaviors