Search Results

You are looking at 1 - 10 of 761 items for :

  • "surveillance" x
  • Refine by Access: All Content x
Clear All
Restricted access

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.

Open access

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

Restricted access

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

Restricted access

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

Open access

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

Open access

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

Restricted access

jpah Journal of Physical Activity and Health 1543-3080 1543-5474 1 2009 6 s1 10.1123/jpah.2009.6.issue-s1 Physical Activity Surveillance and Assessment With generous support from the Physical Activity and Health Branch, Division of Nutrition, Physical Activity, and Obesity, Centers for Disease

Open access

Eric T. Hyde, Geoffrey P. Whitfield, John D. Omura, Janet E. Fulton, and Susan A. Carlson

Factor Surveillance System found the prevalence of meeting the muscle-strengthening guideline increased significantly from 29.1% to 30.3% from 2011 to 2017. 15 The differences in point estimates between the Behavioral Risk Factor Surveillance System study and the present study are likely due to several

Restricted access

Derek G. Shendell, Tracy A. Listwan, Lauren Gonzalez, and Joseph Panchella

Key Points ▸ The study analyzed adolescent student-athlete concussion data through state public-school-based online surveillance in 2015–2017. ▸ Adolescents may be at greater risk for adverse effects from concussions. ▸ Data obtained improved concussion characterization. ▸ Future efforts should

Restricted access

Aston K. McCullough and Carol Ewing Garber

children to wear at least one activity monitor for ≥18 hours ( Cliff, Reilly, & Okely, 2009 ; Van Cauwenberghe, Gubbels, De Bourdeaudhuij, & Cardon, 2011 ), which may restrict wider implementation of wearable sensor-based methods for early childhood PA surveillance especially when there are a limited