scholarly journals Physical Activity and Sedentary Behavior Clustering: Segmentation to Optimize Active Lifestyles

2016 ◽  
Vol 13 (9) ◽  
pp. 921-928 ◽  
Author(s):  
Stephen Zwolinsky ◽  
James McKenna ◽  
Andy Pringle ◽  
Paul Widdop ◽  
Claire Griffiths ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Hierarchical Cluster ◽  
Optimal Number ◽  
Multiple Deprivation ◽  
Highly Active ◽  
Active Lifestyles ◽  
Univariate Analyses ◽  
Indices Of Multiple Deprivation

Background:Increasingly the health impacts of physical inactivity are being distinguished from those of sedentary behavior. Nevertheless, deleterious health prognoses occur when these behaviors combine, making it a Public Health priority to establish the numbers and salient identifying factors of people who live with this injurious combination.Methods:Using an observational between-subjects design, a nonprobability sample of 22,836 participants provided data on total daily activity. A 2-step hierarchical cluster analysis identified the optimal number of clusters and the subset of distinguishing variables. Univariate analyses assessed significant cluster differences.Results:High levels of sitting clustered with low physical activity. The Ambulatory & Active cluster (n = 6254) sat for 2.5 to 5 h·d−1 and were highly active. They were significantly younger, included a greater proportion of males and reported low Indices of Multiple Deprivation compared with other clusters. Conversely, the Sedentary & Low Active cluster (n = 6286) achieved ≤60 MET·min·wk−1 of physical activity and sat for ≥8 h·d−1. They were the oldest cluster, housed the largest proportion of females and reported moderate Indices of Multiple Deprivation.Conclusions:Public Health systems may benefit from developing policy and interventions that do more to limit sedentary behavior and encourage light intensity activity in its place.

scholarly journals Changes in Physical Activity and Sedentary Behavior in Response to COVID-19 and Their Associations with Mental Health in 3052 US Adults

2020 ◽  
Vol 17 (18) ◽  
pp. 6469 ◽  
Author(s):  
Jacob Meyer ◽  
Cillian McDowell ◽  
Jeni Lansing ◽  
Cassandra Brower ◽  
Lee Smith ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Social Connectedness ◽  
Anxiety Symptoms ◽  
Cross Sectional ◽  
Societal Changes ◽  
The Impact

The COVID-19 pandemic altered many facets of life. We aimed to evaluate the impact of COVID-19-related public health guidelines on physical activity (PA), sedentary behavior, mental health, and their interrelations. Cross-sectional data were collected from 3052 US adults 3–8 April 2020 (from all 50 states). Participants self-reported pre- and post-COVID-19 levels of moderate and vigorous PA, sitting, and screen time. Currently-followed public health guidelines, stress, loneliness, positive mental health (PMH), social connectedness, and depressive and anxiety symptoms were self-reported. Participants were grouped by meeting US PA guidelines, reporting ≥8 h/day of sitting, or ≥8 h/day of screen time, pre- and post-COVID-19. Overall, 62% of participants were female, with age ranging from 18–24 (16.6% of sample) to 75+ (9.3%). Self-reported PA was lower post-COVID among participants reporting being previously active (mean change: −32.3% [95% CI: −36.3%, −28.1%]) but largely unchanged among previously inactive participants (+2.3% [−3.5%, +8.1%]). No longer meeting PA guidelines and increased screen time were associated with worse depression, loneliness, stress, and PMH (p < 0.001). Self-isolation/quarantine was associated with higher depressive and anxiety symptoms compared to social distancing (p < 0.001). Maintaining and enhancing physical activity participation and limiting screen time increases during abrupt societal changes may mitigate the mental health consequences.

scholarly journals A Structured and Flexible Language for Physical Activity Assessment and Characterization

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Pedro Silva ◽  
Maria Teresa Andrade ◽  
Pedro Carvalho ◽  
Jorge Mota
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Activity Patterns ◽  
Public Health Research ◽  
Cognitive Limitations ◽  
Public Health Professionals ◽  
Activity Assessment ◽  
Base Language ◽  
Flexible Base

Developing more accurate assessments of physical activity (PA) and sedentary behavior (SB) is an important public health research priority. Assessing PA and SB is challenging in all segments of the population, but it is especially difficult in children due to cognitive limitations and more sporadic and intermittent activity patterns. Moreover, they are influenced by several factors including temporal-spatial constraints and social conditions. To accurately assess PA and SB, it is essential to clearly define methods for describing all these factors. The goal of this paper is to potentiate advances in the field by proposing a base ontology for characterizing physical activity, sedentary behavior, and the context in which it occurs. The ontology would establish a flexible base language to facilitate standardized descriptions of these behaviors for researchers and public health professionals.

Assessment of Physical Activity and Sedentary Behavior in Preschool-Age Children: Priorities for Research

2001 ◽  
Vol 13 (2) ◽  
pp. 113-126 ◽  
Author(s):  
Janet E. Fulton ◽  
Charlene R. Burgeson ◽  
Geraldine R. Perry ◽  
Bettylou Sherry ◽  
Deborah A. Galuska ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Sedentary Behavior ◽  
Expert Panel ◽  
Research Priorities ◽  
Public Health Research ◽  
Preschool Age ◽  
Current State ◽  
Preschool Age Children ◽  
Public Health Functions

An expert panel workshop had two specific aims: (a) to review the current state of knowledge of existing methods for assessing physical activity and sedentary behavior in order to determine their reliability, validity, feasibility, strengths, and limitations and (b) to set research priorities and recommendations to enable the use of reliable and valid instruments for assessing physical activity and sedentary behavior within the context of three public health functions for children ages 2–5 years. Experts presented four major recommendations for research priorities at the conclusion of the 2-day workshop. The need to develop valid methods for measuring physical activity and sedentary behavior was considered the necessary first step to accomplish meaningful physical activity surveillance, public health research, and intervention research for children ages 2–5 years.

scholarly journals Global Public Health Guidelines on Physical Activity and Sedentary Behavior for People Living With Chronic Conditions: A Call to Action

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Paddy C. Dempsey ◽  
Christine M. Friedenreich ◽  
Michael F. Leitzmann ◽  
Matthew P. Buman ◽  
Estelle Lambert ◽  
...  
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
World Health Organization ◽  
Sedentary Behavior ◽  
Chronic Conditions ◽  
Premature Mortality ◽  
World Health ◽  
Global Public Health ◽  
The World ◽  
Health Organization

Background: In 2020, the World Health Organization (WHO) released global guidelines on physical activity (PA) and sedentary behavior, for the first time providing population-based recommendations for people living with selected chronic conditions. This article briefly presents the guidelines, related processes and evidence, and, importantly, considers how they may be used to support research, practice, and policy. Methods: A brief overview of the scope, agreed methods, selected chronic conditions (adults living with cancer, hypertension, type 2 diabetes, and human immunodeficiency virus), and appraisal of systematic review evidence on PA/sedentary behavior is provided. Methods were consistent with World Health Organization protocols for developing guidelines. Results: Moderate to high certainty evidence (varying by chronic condition and outcome examined) supported that PA can reduce the risk of disease progression or premature mortality and improve physical function and quality of life in adults living with chronic conditions. Direct evidence on sedentary behavior was lacking; however, evidence extrapolated from adult populations was considered applicable, safe, and likely beneficial (low certainty due to indirectness). Conclusions: Clinical and public health professionals and policy makers should promote the World Health Organization 2020 global guidelines and develop and implement services and programs to increase PA and limit sedentary behavior in adults living with chronic conditions.

scholarly journals Identifying typologies of diurnal patterns in desk-based workers’ sedentary time

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0248304
Author(s):  
Sayaka Kurosawa ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Mohammad Javad Koohsari ◽  
Koichiro Oka
Keyword(s):  
Cluster Analysis ◽  
Sedentary Behavior ◽  
Hierarchical Cluster Analysis ◽  
Sedentary Time ◽  
Hierarchical Cluster ◽  
Optimal Number ◽  
Diurnal Variations ◽  
Diurnal Patterns ◽  
Time Period ◽  
Optimal Number Of Clusters

The purpose of this study was to identify typologies of diurnal sedentary behavior patterns and sociodemographic characteristics of desk-based workers. The sedentary time of 229 desk-based workers was measured using accelerometer devices. The within individual diurnal variations in sedentary time was calculated for both workdays and non-workdays. Diurnal variations in sedentary time during each time period (morning, afternoon, and evening) was calculated as the percentage of sedentary time during each time period divided by the percentage of the total sedentary time. A hierarchical cluster analysis (Ward’s method) was used to identify the optimal number of clusters. To refine the initial clusters, a non-hierarchical cluster analysis (k-means method) was performed. Four clusters were identified: stable sedentary cluster (46.7%), off-morning break cluster (26.6%), off-afternoon break cluster (8.3%), and evening sedentary cluster (18.3%). The stable sedentary cluster had the lowest variations in sedentary time throughout the day and the highest amount of total sedentary time. Participants in the off-morning and off-afternoon break clusters had nearly the same sedentary patterns but took short-term breaks during non-workday mornings or afternoons. The evening sedentary cluster had a completely different pattern, with a longer sedentary time during the evening both on workdays and non-workdays. Sociodemographic attributes such as sex, household income, educational attainment, employment status, sleep duration, and residential area, differed significantly between groups. Initiatives to address desk-based workers’ sedentary behavior need to focus not only on the workplace but also on the appropriate timing for reducing excessive sedentary time in non-work contexts depending on the characteristics and diurnal patterns of target subgroups.

scholarly journals Correlates of Children’s Moderate and Vigorous Physical Activity During Weekdays and Weekends

2012 ◽  
Vol 9 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Stuart J. Fairclough ◽  
Nicola D. Ridgers ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Moderate Intensity ◽  
Multilevel Analyses ◽  
Multiple Deprivation ◽  
Deprivation Score ◽  
Moderate Intensity Physical Activity ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Indices Of Multiple Deprivation

Background:Vigorous-intensity physical activity (VPA) may confer superior health benefits for children compared to moderate-intensity physical activity (MPA), but the correlates of MPA and VPA may differ. The study purpose was to investigate associations between selected enabling, predisposing, and demographic physical activity correlates, and MPA and VPA during weekdays and at weekends.Methods:Data were gathered from 175 children (aged 10 to 11 years). MPA and VPA were assessed using accelerometers. Correlates were measured at child and school levels. Multilevel analyses identified correlates that significantly predicted MPA and VPA.Results:Gender significantly predicted weekday MPA (P < .001), and weekend MPA (P = .022) and VPA (P = .035). Weekday VPA was predicted by gender (P < .001), indices of multiple deprivation score (P < .003), BMI (P = .018), and school playground area (P = .046).Conclusions:Gender was the most significant correlate of MPA and VPA. Children most likely to engage in weekday VPA were boys with lower deprivation scores and BMI values, with access to larger playground areas.

Changes in Policy Maker Attitudes Toward Active Living Communities Issues in Hawaii, 2007–2013

2016 ◽  
Vol 13 (10) ◽  
pp. 1056-1062 ◽  
Author(s):  
Meghan McGurk ◽  
Jay Maddock
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
United States ◽  
Policy Maker ◽  
The United States ◽  
Decision Makers ◽  
The Other ◽  
Active Living ◽  
Physically Active ◽  
Active Lifestyles

Background:Obesity and lack of physical activity are major public health problems in the United States. Well-designed, active living communities (ALCs) can help support physically active lifestyles. This study assessed attitudes of Hawaii decision makers in 2007 and 2013 to determine if priorities toward ALCs changed. Methods:Elected and appointed state and county officials were mailed surveys both years. Respondents rated the importance of 23 specified problems, which included 1 obesity variable and 5 ALC variables.Results:The survey was completed by 126 (70.4%) respondents in 2007 and 117 (60.9%) in 2013. Among the specific problems, only obesity increased in rank from 14th to ninth place. Three variables fell more than 2 places: increasing traffic (fifth to seventh place), poorly planned development and sprawl (seventh to 11th place) and pedestrian safety (12th to 17th place). The other 2 stayed relatively the same: lack of pedestrian walkways, sidewalks, and crosswalks (16th to 15th place) and lack of recreational activities (22nd to 23rd place).Conclusions:Across years, obesity concerns have increased but do not appear to be tied to increases in concern for ALC variables. More education for policymakers on the link between obesity, physical activity, and the built environment is necessary.

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