scholarly journals Intra-individual variation in children's physical activity patterns: Implications for measurement

2009 ◽  
Vol 12 (5) ◽  
pp. 568-572 ◽  
Author(s):  
Kate Ridley ◽  
Tim Olds ◽  
Beth Hands ◽  
Dawne Larkin ◽  
Helen Parker
2015 ◽  
Vol 47 (1) ◽  
pp. 269-275 ◽  
Author(s):  
Timothy A Brusseau

AbstractUnderstanding the physical activity patterns of youth is an essential step in preparing programming and interventions needed to change behavior. To date, little is known about the intricacies of youth physical activity across various physical activity segments (i.e. in school, out of school, recess, classroom physical activity, physical education, weekends, etc.). Therefore, the purpose of the study was to examine the physical activity patterns of elementary school children across various segments and during two seasons. A total of 287 fourth and fifth graders from the Southwest US wore the Yamax Digiwalker SW-200 pedometer for 7 consecutive days during the Fall and Spring seasons. Children were prompted to record their step counts when arriving and leaving school, before and after physical education and recess, as well as on the weekends. Means and standard deviations were calculated and ANOVAs and t tests were utilized to examine difference by sex, season, and segment. Youth were more active outside of school and on weekdays (p<0.05). Boys were generally more active than girls and all youth were more active during the milder Spring season. There is a clear need for Comprehensive School Physical Activity Programming and weekend physical activity opportunities. Furthermore, greater emphasis is needed on PE and across other activity segments for girls to increase their physical activity levels.


2017 ◽  
Vol 49 (5) ◽  
pp. 922-929 ◽  
Author(s):  
TEUN REMMERS ◽  
CAREL THIJS ◽  
ANNA TIMPERIO ◽  
JO SALMON ◽  
JENNY VEITCH ◽  
...  

2005 ◽  
Vol 100 (2) ◽  
pp. 443-450 ◽  
Author(s):  
Tami Benham-Deal

39 3- to 5-year-old children wore heart-rate monitors for 12 hr. on three consecutive days to examine physical activity patterns. Parent logs supplied additional information on type and location of activity. The highest number of accumulated minutes of moderate to vigorous physical activity was recorded during the weekday (38.6 min.) and weekend (31.4 min.) afternoons, a time period when more activity occurred outdoors. Sustained activity was mostly short in duration, but many children (71%) accumulated recommended amounts of activity on the weekday, fewer (46%) on the weekend. Spearman rank correlations for weekday ( r = .50, p = .004) and weekend ( r = .58, p = .004) activity were significant. Considering health risk factors associated with physical inactivity, early educators must look to the essence of young children's physical activity patterns in designing programs. Large motor activity that is intense and that occurs outdoors is a good place to start.


2017 ◽  
Vol 36 (6) ◽  
pp. 637-644 ◽  
Author(s):  
Nicola D. Ridgers ◽  
Lisa M. Barnett ◽  
David R. Lubans ◽  
Anna Timperio ◽  
Ester Cerin ◽  
...  

2005 ◽  
Vol 15 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Karen M. Majchrzak ◽  
Lara B. Pupim ◽  
Kong Chen ◽  
Cathi J. Martin ◽  
Sheila Gaffney ◽  
...  

2002 ◽  
Vol 34 (8) ◽  
pp. 1255-1261 ◽  
Author(s):  
ANN P. RAFFERTY ◽  
MATHEW J. REEVES ◽  
HARRY B. MCGEE ◽  
JAMES M. PIVARNIK

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 528-529
Author(s):  
Eric Shiroma ◽  
J David Rhodes ◽  
Aleena Bennet ◽  
Monika M Safford ◽  
Leslie MacDonald ◽  
...  

Abstract Major life events, such as retirement, may lead to dramatic shifts in physical activity (PA) patterns. However, there are limited empirical data quantifying the magnitude of these changes. Our aims were to objectively measure PA before and after retirement and to describe changes in participation in various types of PA. Participants were employed black and white men and women enrolled in REGARDS (REasons for Geographic and Racial Differences in Stroke), a national prospective cohort study (n=581, mean age 64 years, 25% black, 51% women). Participants met inclusion criteria if they retired between their first and second accelerometer wearing (2009-2013 and 2017-2018, respectively) and had valid accelerometer data (&gt;4 days with &gt;10 hours/day pre- and post-retirement). Accelerometer-based PA was categorized into average minutes per day spent in sedentary, light-intensity, and moderate-to-vigorous PA. Participants reported changes (less, same, more) in 12 types of PA. After retirement, participants decreased both sedentary time (by 36.3 minutes/day) and moderate-to-vigorous PA (by 5.6 minutes/day). Conversely, there was an increase in light-intensity PA (+18.1 minutes/day) after retirement. Participants reported changes in their participation level in various PA activities. For example, 41% reported an increased amount of TV viewing, 42% reported less walking, and 31% reported increased participation in volunteer activities. Findings indicate that retirement coincides with a change in the time spent in each intensity category and the time spent across a range of activity types. Further research is warranted to examine how these changes in physical activity patterns influence post-retirement health status.


2012 ◽  
Vol 42 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Nanna Yr Arnardottir ◽  
Annemarie Koster ◽  
Dane R. Van Domelen ◽  
Robert J. Brychta ◽  
Paolo Caserotti ◽  
...  

Obesity ◽  
2008 ◽  
Vol 16 (1) ◽  
pp. 153-161 ◽  
Author(s):  
Victoria A. Catenacci ◽  
Lorraine G. Ogden ◽  
Jennifer Stuht ◽  
Suzanne Phelan ◽  
Rena R. Wing ◽  
...  

2016 ◽  
Vol 33 (4) ◽  
pp. 374-390 ◽  
Author(s):  
Samantha J. Downs ◽  
Stuart J. Fairclough ◽  
Zoe R. Knowles ◽  
Lynne M. Boddy

The aim of this study was to assess the physical activity (PA) patterns of youth with intellectual disabilities (ID). PA was monitored for 7 days in 70 participants, 5–15 years old, using accelerometers. There were 32 participants included in the final analysis. Habitual PA and the number of continuous bouts accrued for a range of bout lengths (5–600 s) for light (LPA), moderate (MPA), and vigorous (VPA) PA were calculated. Multivariate analysis of covariance was used to assess differences in the number of continuous bouts by sex, age, and ID group and between week and weekend days. Participants exhibited short sporadic bursts of activity. The number of continuous bouts decreased as the intensity and duration increased. Few differences in PA patterns were reported by sex, ID group, and age group and between week and weekend days, possibly due to the generally low PA levels in this population.


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