concordance, typically noting correlations of .3–.4 with device-based measures but slightly higher with other questionnaires. 9 , 13 , 14 The measurement attributes of single-item questions are similar to those observed for established PA surveillance tools, with typical correlations around .3 compared with
Search Results
Adrian E. Bauman and Justin A. Richards
Lucas J. Carr, Shira Dunsinger, and Bess H. Marcus
Background:
Long-term physical activity surveillance has not been conducted among Latinas. This study explored the variability of daily physical activity habits of inactive adult Latinas participating in a 12-month physical activity intervention.
Methods:
We collected objective physical activity data (pedometer) from 139 Spanish speaking Latinas (age = 41.6 ± 10.1 years; BMI = 29.6 ± 4.3 kg/m2) enrolled in a 12-month physical activity intervention. Total and aerobic steps (>100 steps/minute) were computed by year, season, month, day of week, time of day, and hour.
Results:
Participants walked an average of 6509 steps/day of which 1303 (20%) were aerobic steps. Significant physical activity differences were observed for subgroups including generational status, education, employment, income, marital status and health literacy. Significant and similar differences were observed for both total steps and aerobic steps for day of the week (weekdays > weekends) and season (summer > spring > fall > winter). Opposing trends were observed over the course of the day for total steps (early afternoon > late morning > late afternoon > early morning > evening) and aerobic steps (early morning > evening > late morning > late afternoon > early afternoon).
Conclusions:
Both seasonality and week day predicted physical activity habits of Latinas. This is the first long-term study to track daily physical activity habits of Latinas. These data have potential to inform the design of future physical activity interventions targeting Latinas.
Andrea Ramírez Varela and Michael Pratt
activity have increased as well. 2 However, one of every 3 adults worldwide remains physically inactive. 3 In 2012, the Global Observatory for Physical Activity (GoPA!) 4 was established to provide information that would enable countries to initiate or improve research capacity, surveillance systems
Jeongmin Lee, Kitaek Oh, Jihee Min, Seon-Young Goo, Eun-Young Lee, Kyoung June Yi, Jinmoo Heo, Joon-Sung Lee, Dong-il Kim, Wonsang Shin, Kwon-il Kim, Yeonsoo Kim, and Justin Y. Jeon
behaviors among CAWD. Grading of PA behavioral indicators was based on national surveillance data. However, a huge discrepancy between grades of government and PA behavior indicators is noted. There are two main reasons for the high grade for the South Korean government on PA promotions. First, a change in
Sarah J. Hatteberg
in explaining the structural organization of sport, pointing to the social isolation, surveillance, and control to which collegiate athletes, particularly profit-athletes , are subjected (e.g., Adler & Adler, 1991 ; Anderson, 2009 ; Atkinson & Young, 2008 ; Birrell & Donnelly, 2004 ; Rainey
Jason A. Bennie and Glen H. Wiesner
11 , 18 , 19 among those who meet both guidelines compared with those meeting neither or one guideline only. Despite both aerobic PA and MSE being part of the global PA guidelines since 2010, 20 the assessment of both PA modes is rare in health surveillance, 21 and hence, the prevalence and
Salomé Aubert, Charlotte Verdot, Gilles Thöni, and Jérémy Vanhelst
behaviors, and its source of influence in children and youth at the national level ( Aubert, Barnes, et al., 2018 ; Colley et al., 2012 ). National AHKGA Report Cards are developed following a harmonized methodology to grade 10 common PA indicators, identify research and surveillance gaps, and serve as an
Diego H. Méndez, Pablo O. Policastro, and Danilo De Oliveira Silva
Sport injury surveillance is the process of collecting and recording data on sport injuries, which is considered a key step toward injury prevention. 1 , 2 Implementation of prevention strategies without knowing the epidemiological context of sport-related injuries could lead to overspending and
Jacqueline L. Mair, Lawrence D. Hayes, Amy K. Campbell, and Nicholas Sculthorpe
undertake 150–300 min of moderate-intensity, or 75–150 min of vigorous-intensity PA, or some equivalent combination per week ( Bull et al., 2020 ). Such guidelines rely on population-level surveillance methods to regularly monitor PA indicators and inform public health policy, and the most common approach
John D. Omura, Geoffrey P. Whitfield, Tiffany J. Chen, Eric T. Hyde, Emily N. Ussery, Kathleen B. Watson, and Susan A. Carlson
Surveillance is a core function of public health and is the ongoing systematic collection, analysis, and interpretation of outcome-specific data, which can then be used for planning, implementation, and evaluation of public health practice. 1 Once there is sufficient evidence that a behavior, such
