Physical Activity Patterns in Youth With Intellectual Disabilities

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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The physical activity patterns of adolescents with intellectual disabilities: A descriptive study

Disability and Health Journal ◽

10.1016/j.dhjo.2015.09.005 ◽

2016 ◽

Vol 9 (2) ◽

pp. 341-345 ◽

Cited By ~ 7

Author(s):

Ana Queralt ◽

Anna Vicente-Ortiz ◽

Javier Molina-García

Keyword(s):

Physical Activity ◽

Intellectual Disabilities ◽

Activity Patterns ◽

Descriptive Study ◽

Physical Activity Patterns

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Sedentary And Physical Activity Patterns In Children With Intellectual Disabilities: Differences Between Levels Of Intellectual Disability

Medicine & Science in Sports & Exercise ◽

10.1249/01.mss.0000762012.77615.e6 ◽

2021 ◽

Vol 53 (8S) ◽

pp. 253-253

Author(s):

Dandan Wang ◽

Lei Zhang ◽

Xueping Wu

Keyword(s):

Physical Activity ◽

Intellectual Disability ◽

Intellectual Disabilities ◽

Activity Patterns ◽

Physical Activity Patterns

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WEEKDAY VERSUS WEEKEND PHYSICAL ACTIVITY PATTERNS IN YOUTH: GENDER AND AGE GROUP DIFFERENCES.

Medicine & Science in Sports & Exercise ◽

10.1097/00005768-199805001-01155 ◽

1998 ◽

Vol 30 (Supplement) ◽

pp. 203 ◽

Cited By ~ 1

Author(s):

S. G. Trost ◽

R. R. Pate ◽

P. S. Freedson ◽

J. Sirard ◽

M. Dowda ◽

...

Keyword(s):

Physical Activity ◽

Activity Patterns ◽

Group Differences ◽

Age Group ◽

Physical Activity Patterns ◽

Gender And Age

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Early Adolescent Participation in Physical Activity: Correlates With Individual and Family Characteristics

Journal of Physical Activity and Health ◽

10.1123/jpah.8.2.244 ◽

2011 ◽

Vol 8 (2) ◽

pp. 244-252 ◽

Cited By ~ 6

Author(s):

Peter Mulhall ◽

Janet Reis ◽

Shahana Begum

Keyword(s):

Physical Activity ◽

Family Involvement ◽

Activity Patterns ◽

Sociodemographic Factors ◽

Family Characteristics ◽

Analysis Of Covariance ◽

Contributing Factors ◽

School Lunches ◽

Physical Activity Patterns ◽

Positive Attitudes

Background:Early adolescence is developmental period when youth begin to shift exercise and physical activity patterns toward increased sedentary living. The major causes and contributing factors to this change are poorly understood. This study examines the relationship between sociodemographic factors, behavioral and family factors that influence physical activity patterns of middle grades students.Methods:The 1578 youth ranged in age from 12 (22%) to 13 (78%) and were divided between white (65%), African American (19%), and Hispanic (16%) subpopulations, with 37% overall qualifying for reduced-price or free school lunches. The assumptions for Analysis of Covariance versus Analysis of Variance (ANOVA) were examined, with the final results reported separately for attitudes toward exercise as predictors and sociodemographic variables and measures of family functioning as predictors.Results:Positive attitudes were more strongly associated than were negative attitudes with exercise. Of the categorical predictors, student gender and family involvement with fitness had the most statistically significant associations with self reported exercise (6 for gender and 5 for family involvement with fitness).Conclusions:The results of this analysis of a diverse and large sample of young adolescents are placed in the context of family leisure and work time in our “hurried” culture.

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

Journal of Renal Nutrition ◽

10.1053/j.jrn.2004.08.002 ◽

2005 ◽

Vol 15 (2) ◽

pp. 217-224 ◽

Cited By ~ 32

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

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Physical activity patterns among walkers and compliance with public health recommendations

Medicine & Science in Sports & Exercise ◽

10.1097/00005768-200208000-00005 ◽

2002 ◽

Vol 34 (8) ◽

pp. 1255-1261 ◽

Cited By ~ 82

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

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Physical Activity Patterns After Retirement: The REGARDS Study

Innovation in Aging ◽

10.1093/geroni/igaa057.1704 ◽

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 (>4 days with >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.

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