scholarly journals Physical Activity Patterns Among Patients with Intracardiac Remote Monitoring Devices Before, During, and After COVID-19-related Public Health Restrictions

2021 ◽  
Author(s):  
Yuan Lu ◽  
Karthik Murugiah ◽  
Paul W Jones ◽  
Daisy S Massey ◽  
Shiwani Mahajan ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
New York ◽  
Remote Monitoring ◽  
Activity Patterns ◽  
Saint Paul ◽  
Unintended Consequences ◽  
Mitigation Strategies ◽  
Physical Activity Patterns ◽  
Cardiac Devices

ABSTRACTNationwide public health restrictions due to the coronavirus disease 2019 (COVID-19) pandemic have disrupted people’s routine physical activities, yet little objective information is available on the extent to which physical activity has changed among patients with pre-existing cardiac diseases. Using remote monitoring data of 9,924 patients with pacemakers and implantable cardiac defibrillators (ICDs) living in New York City and Minneapolis/Saint Paul, we assessed physical activity patterns among these patients in 2019 and 2020 from January through October. We found marked declines in physical activity among patients with implantable cardiac devices during COVID-19-related restrictions and the reduction was consistent across age and sex subgroups. Moreover, physical activity among these vulnerable patients did not return to pre-restrictions levels several months after COVID-19 restrictions were eased. Our findings highlight the need to consider the unintended consequences of mitigation strategies and develop approaches to encourage safe physical activity during the pandemic.

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

Physical Activity Patterns of Children in a Central New York Community

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S264
Author(s):  
Philip J. Buckenmeyer ◽  
James Hokanson ◽  
Cindy Adams ◽  
Jennifer Hamilton ◽  
Cindy Jaconski
Keyword(s):  
Physical Activity ◽  
New York ◽  
Activity Patterns ◽  
Physical Activity Patterns ◽  
Central New York

scholarly journals Physical Activity Patterns in University Students: Do They Follow the Public Health Guidelines?

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0152516 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Pantelis Theodoros Nikolaidis ◽  
Fernando Manuel Lourenço Martins ◽  
Rui Sousa Mendes
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
University Students ◽  
Activity Patterns ◽  
Physical Activity Patterns ◽  
The Public

Physical Activity Patterns of Children in a Central New York Community

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S264
Author(s):  
Philip J. Buckenmeyer ◽  
James Hokanson ◽  
Cindy Adams ◽  
Jennifer Hamilton ◽  
Cindy Jaconski
Keyword(s):  
Physical Activity ◽  
New York ◽  
Activity Patterns ◽  
Physical Activity Patterns ◽  
Central New York

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 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 Lockdown, slow down: impact of the COVID-19 pandemic on physical activity—an observational study

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001600
Author(s):  
Joanne Kathryn Taylor ◽  
Haarith Ndiaye ◽  
Matthew Daniels ◽  
Fozia Ahmed
Keyword(s):  
Physical Activity ◽  
New York ◽  
Heart Association ◽  
Evaluation Study ◽  
Activity Data ◽  
Cardiac Devices ◽  
Significant Difference ◽  
New York Heart Association ◽  
Using Data ◽  
The Uk

AimsIn response to the COVID-19 pandemic, the UK was placed under strict lockdown measures on 23 March 2020. The aim of this study was to quantify the effects on physical activity (PA) levels using data from the prospective Triage-HF Plus Evaluation study.MethodsThis study represents a cohort of adult patients with implanted cardiac devices capable of measuring activity by embedded accelerometery via a remote monitoring platform. Activity data were available for the 4 weeks pre-implementation and post implementation of ‘stay at home’ lockdown measures in the form of ‘minutes active per day’ (min/day).ResultsData were analysed for 311 patients (77.2% men, mean age 68.8, frailty 55.9%. 92.2% established heart failure (HF) diagnosis, of these 51.2% New York Heart Association II), with comorbidities representative of a real-world cohort.Post-lockdown, a significant reduction in median PA equating to 20.8 active min/day was seen. The reduction was uniform with a slightly more pronounced drop in PA for women, but no statistically significant difference with respect to age, body mass index, frailty or device type. Activity dropped in the immediate 2-week period post-lockdown, but steadily returned thereafter. Median activity week 4 weeks post-lockdown remained significantly lower than 4 weeks pre-lockdown (p≤0.001).ConclusionsIn a population of predominantly HF patients with cardiac devices, activity reduced by approximately 20 min active per day in the immediate aftermath of strict COVID-19 lockdown measures.Trial registration numberNCT04177199.

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 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 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.

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