Physical Activity Patterns Associated With Weight-Control Status: Differences by Race and Sex

2008 ◽  
Vol 5 (3) ◽  
pp. 456-468 ◽  
Author(s):  
Judy Kruger ◽  
Michelle M. Yore ◽  
Barbara E. Ainsworth ◽  
Caroline A. Macera
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Strength Training ◽  
Weight Control ◽  
Telephone Survey ◽  
Activity Patterns ◽  
Population Data ◽  
Occupational Activity ◽  
Physical Activity Patterns ◽  
Status Differences

Background:Physical activity (PA) plays a major role in maintaining energy balance. We examined the patterns of occupational activity, strength training, and lifestyle PA (low, medium, high) by sex and race among persons trying to control their weight (lose weight, stay about the same, not trying to lose/not trying to stay about the same).Methods:Population data (N = 9258) from a nationwide telephone survey were collected to examine PA patterns. Domains of PA were analyzed by sex and race.Results:Of those trying to control their weight, approximately 24.0% engaged in strengthening activities 2 to 3 d/wk. Among those trying to lose weight, 48.2% versus 42.2% of men (White and non-White, respectively) and 40.4% versus 35.1% of women (White and non-White, respectively) reported high volumes of PA.Conclusions:PA patterns among persons trying to control their weight vary by sex and race. Adults trying to control their weight are encouraged to increase levels of PA.

scholarly journals Physical Activity Patterns in the National Weight Control Registry

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

scholarly journals Physical Activity Patterns Using Accelerometry in the National Weight Control Registry

Obesity ◽  
2011 ◽  
Vol 19 (6) ◽  
pp. 1163-1170 ◽  
Author(s):  
Victoria A. Catenacci ◽  
Gary K. Grunwald ◽  
Jan P. Ingebrigtsen ◽  
John M. Jakicic ◽  
Michael D. McDermott ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Control ◽  
Activity Patterns ◽  
Physical Activity Patterns

Perceptions of Neighborhood Sidewalks on Walking and Physical Activity Patterns in a Southeastern Community in the US

2006 ◽  
Vol 3 (2) ◽  
pp. 243-253 ◽  
Author(s):  
Julian A. Reed ◽  
Dawn K. Wilson ◽  
Barbara E. Ainsworth ◽  
Heather Bowles ◽  
Gary Mixon
Keyword(s):  
Physical Activity ◽  
Telephone Survey ◽  
Activity Patterns ◽  
Physical Activity Patterns ◽  
Southeastern Us ◽  
The Us ◽  
Stratified Sample

Background:The purpose of this study was to examine the relationships between perceptions of neighborhood sidewalks and race, and walking and physical activity (PA) patterns in a southeastern US community.Methods:A telephone survey was administered to a stratified sample of adults (N = 1148). Physical activity was categorized according to the CDC/ACSM recommendations. Respondents were also asked if they walked for at least 10 min at a time for recreation, exercise, transportation, or while at work.Results:A greater proportion (44%) of respondents who reported having neighborhood sidewalks were irregular walkers (OR = 1.88; 95% CI = 1.13, 3.11). For whites, (but not for non-whites) the perceived presence of sidewalks increased the odds for meeting recommended PA levels (P < 0.05; OR = 3.59, 95% CI = 1.05, 12.24).Conclusions:Presence of neighborhood sidewalks was related to irregular walking levels of respondents. Sidewalk presence was related to PA in whites, but was not related to activity patterns of non-whites.

PHYSICAL ACTIVITY PATTERNS IN THE NATIONAL WEIGHT CONTROL REGISTRY

2008 ◽  
Vol 28 (5) ◽  
pp. 346
Author(s):  
Catenacci VA ◽  
Ogden LG ◽  
Stuht J ◽  
Phelan S ◽  
Wing RR ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Control ◽  
Activity Patterns ◽  
Physical Activity Patterns

Physical activity patterns in chronic hemodialysis patients: Comparison of dialysis and nondialysis days

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

Physical activity patterns among walkers and compliance with public health recommendations

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

scholarly journals Physical Activity Patterns After Retirement: The REGARDS Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 528-529
Author(s):  
Eric Shiroma ◽  
J David Rhodes ◽  
Aleena Bennet ◽  
Monika M Safford ◽  
Leslie MacDonald ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Racial Differences ◽  
Activity Patterns ◽  
Accelerometer Data ◽  
Tv Viewing ◽  
Major Life Events ◽  
Major Life ◽  
Physical Activity Patterns ◽  
Regards Study

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.

scholarly journals Objective measurements of daily physical activity patterns and sedentary behaviour in older adults: Age, Gene/Environment Susceptibility-Reykjavik Study

2012 ◽  
Vol 42 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Nanna Yr Arnardottir ◽  
Annemarie Koster ◽  
Dane R. Van Domelen ◽  
Robert J. Brychta ◽  
Paolo Caserotti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Activity Patterns ◽  
Daily Physical Activity ◽  
Physical Activity Patterns ◽  
Objective Measurements ◽  
Gene Environment

scholarly journals Physical Activity Patterns in Youth With Intellectual Disabilities

2016 ◽  
Vol 33 (4) ◽  
pp. 374-390 ◽  
Author(s):  
Samantha J. Downs ◽  
Stuart J. Fairclough ◽  
Zoe R. Knowles ◽  
Lynne M. Boddy
Keyword(s):  
Physical Activity ◽  
Multivariate Analysis ◽  
Intellectual Disabilities ◽  
Activity Patterns ◽  
Final Analysis ◽  
Analysis Of Covariance ◽  
Age Group ◽  
Physical Activity Patterns

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.

Sign in / Sign up

Export Citation Format

Share Document