Physical Activity Patterns among Youth in the United States

2011 ◽  
Vol 43 (Suppl 1) ◽  
pp. 391
Author(s):  
Kathleen B. Watson ◽  
Janet E. Fulton
Keyword(s):  
Physical Activity ◽  
United States ◽  
Activity Patterns ◽  
The United States ◽  
Physical Activity Patterns

scholarly journals Physical Activity Patterns of American Indian and Alaskan Native People Living in Alaska and the Southwestern United States

2009 ◽  
Vol 23 (6) ◽  
pp. 388-395 ◽  
Author(s):  
Diana Redwood ◽  
Mary C. Schumacher ◽  
Anne P. Lanier ◽  
Elizabeth D. Ferucci ◽  
Elvin Asay ◽  
...  
Keyword(s):  
Physical Activity ◽  
United States ◽  
American Indian ◽  
Activity Patterns ◽  
Native People ◽  
Southwestern United States ◽  
Physical Activity Patterns ◽  
Alaskan Native

scholarly journals Diurnal Physical Activity Patterns across Ages in a Large UK Based Cohort: The UK Biobank Study

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1545
Author(s):  
Julia Wrobel ◽  
John Muschelli ◽  
Andrew Leroux
Keyword(s):  
Physical Activity ◽  
Activity Patterns ◽  
The United States ◽  
Functional Regression ◽  
Uk Biobank ◽  
Physical Activity Patterns ◽  
Aging Populations ◽  
Different Populations ◽  
The Uk ◽  
Wearable Accelerometers

The ability of individuals to engage in physical activity is a critical component of overall health and quality of life. However, there is a natural decline in physical activity associated with the aging process. Establishing normative trends of physical activity in aging populations is essential to developing public health guidelines and informing clinical perspectives regarding individuals’ levels of physical activity. Beyond overall quantity of physical activity, patterns regarding the timing of activity provide additional insights into latent health status. Wearable accelerometers, paired with statistical methods from functional data analysis, provide the means to estimate diurnal patterns in physical activity. To date, these methods have been only applied to study aging trends in populations based in the United States. Here, we apply curve registration and functional regression to 24 h activity profiles for 88,793 men (N = 39,255) and women (N = 49,538) ages 42–78 from the UK Biobank accelerometer study to understand how physical activity patterns vary across ages and by gender. Our analysis finds that daily patterns in both the volume of physical activity and probability of being active change with age, and that there are marked gender differences in these trends. This work represents the largest-ever population analyzed using tools of this kind, and suggest that aging trends in physical activity are reproducible in different populations across countries.

Seasonal Activity of Haemaphysalis longicornis (Acari: Ixodidae) in Southern New York State

2020 ◽  
Author(s):  
Nicholas P Piedmonte ◽  
Vanessa C Vinci ◽  
Thomas J Daniels ◽  
Bryon P Backenson ◽  
Richard C Falco
Keyword(s):  
United States ◽  
New York ◽  
Activity Patterns ◽  
New York State ◽  
The United States ◽  
Haemaphysalis Longicornis ◽  
Seasonal Activity ◽  
Eastern Asia ◽  
Short Life ◽  
Human Bite

Abstract The Asian longhorned tick, Haemaphysalis longicornis Neumann, is a species native to eastern Asia that has recently been discovered in the United States. In its native range, H. longicornis transmits pathogens that cause disease in humans and livestock. It is currently unknown whether H. longicornis will act as a vector in the United States. Understanding its seasonal activity patterns will be important in identifying which times of the year represent greatest potential risk to humans and livestock should this species become a threat to animal or public health. A study site was established in Yonkers, NY near the residence associated with the first reported human bite from H. longicornis in the United States. Ticks were collected once each week from July 2018 to November 2019. Haemaphysalis longicornis larvae were most active from August to November, nymphs from April to July, and adult females from June to September. This pattern of activity suggests that H. longicornis is capable of completing a generation within a single year and matches the patterns observed in its other ranges in the northern hemisphere. The data presented here contribute to a growing database for H. longicornis phenology in the northeastern United States. Potential implications of the short life cycle for the tick’s vectorial capacity are discussed.

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

scholarly journals Effects of trees, gardens, and nature trails on heat index and child health: design and methods of the Green Schoolyards Project

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kevin Lanza ◽  
Melody Alcazar ◽  
Deanna M. Hoelscher ◽  
Harold W. Kohl
Keyword(s):  
Physical Activity ◽  
United States ◽  
Relative Humidity ◽  
Air Temperature ◽  
The United States ◽  
Heat Index ◽  
Activity Levels ◽  
Natural Setting ◽  
Physical Activity Levels ◽  
Nature Trails

Abstract Background Latinx children in the United States are at high risk for nature-deficit disorder, heat-related illness, and physical inactivity. We developed the Green Schoolyards Project to investigate how green features—trees, gardens, and nature trails—in school parks impact heat index (i.e., air temperature and relative humidity) within parks, and physical activity levels and socioemotional well-being of these children. Herein, we present novel methods for a) observing children’s interaction with green features and b) measuring heat index and children’s behaviors in a natural setting, and a selection of baseline results. Methods During two September weeks (high temperature) and one November week (moderate temperature) in 2019, we examined three joint-use elementary school parks in Central Texas, United States, serving predominantly low-income Latinx families. To develop thermal profiles for each park, we installed 10 air temperature/relative humidity sensors per park, selecting sites based on land cover, land use, and even spatial coverage. We measured green features within a geographic information system. In a cross-sectional study, we used an adapted version of System for Observing Play and Recreation in Communities (SOPARC) to assess children’s physical activity levels and interactions with green features. In a cohort study, we equipped 30 3rd and 30 4th grade students per school during recess with accelerometers and Global Positioning System devices, and surveyed these students regarding their connection to nature. Baseline analyses included inverse distance weighting for thermal profiles and summing observed counts of children interacting with trees. Results In September 2019, average daily heat index ranged 2.0 °F among park sites, and maximum daily heat index ranged from 103.4 °F (air temperature = 33.8 °C; relative humidity = 55.2%) under tree canopy to 114.1 °F (air temperature = 37.9 °C; relative humidity = 45.2%) on an unshaded playground. 10.8% more girls and 25.4% more boys interacted with trees in September than in November. Conclusions We found extreme heat conditions at select sites within parks, and children positioning themselves under trees during periods of high heat index. These methods can be used by public health researchers and practitioners to inform the redesign of greenspaces in the face of climate change and health inequities.

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 (>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.

scholarly journals Physical Activity Among Somali Men in Minnesota

2013 ◽  
Vol 8 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Ahmed A. Mohamed ◽  
Abdullahi M. Hassan ◽  
Jennifer A. Weis ◽  
Irene G. Sia ◽  
Mark L. Wieland
Keyword(s):  
Physical Activity ◽  
United States ◽  
Community Based Participatory Research ◽  
The United States ◽  
Success Stories ◽  
Semistructured Interviews ◽  
High Knowledge ◽  
African Refugee ◽  
Competing Priorities ◽  
Exercise Equipment

Immigrants and refugees arrive to the United States healthier than the general population, but this advantage declines with increasing duration of residence. One factor contributing to this decline is suboptimal physical activity, but reasons for this are poorly understood. Persons from Somalia represent the largest African refugee population to the United States, yet little is known about perceptions of physical activity among Somali men. Somali members of a community-based participatory research partnership implemented three age-stratified focus groups and three semistructured interviews among 20 Somali men in Rochester, Minnesota. Team-based inductive analysis generated themes for barriers and facilitators to physical activity. Barriers to physical activity included less walking opportunities in the United States, embarrassment about exercise clothing and lack of familiarity with exercise equipment/modalities, fear of harassment, competing priorities, facility costs, transportation, and winter weather. Facilitators to physical activity included high knowledge about how to be active, success stories from others in their community as inspiration, and community cohesion. Findings may be used to derive interventions aimed to promote physical activity among Somali men in the United States.

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