scholarly journals Capturing the Pattern of Physical Activity and Sedentary Behavior: Exposure Variation Analysis of Accelerometer Data

2014 ◽  
Vol 11 (3) ◽  
pp. 614-625 ◽  
Author(s):  
Leon Straker ◽  
Amity Campbell ◽  
Svend Erik Mathiassen ◽  
Rebecca Anne Abbott ◽  
Sharon Parry ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Public Health Research ◽  
Office Workers ◽  
Accelerometer Data ◽  
Variation Analysis ◽  
Occupational Groups ◽  
Time Pattern ◽  
Exposure Variation Analysis ◽  
First Time

Background:Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs.Methods:EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8).Results:Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity.Conclusions:EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research.

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 It’s A-bout Time: Detailed Patterns of Physical Activity in Obese Adolescents Participating in a Lifestyle Intervention

2015 ◽  
Vol 12 (11) ◽  
pp. 1453-1460 ◽  
Author(s):  
Erin Kaye Howie ◽  
Timothy Olds ◽  
Joanne A. McVeigh ◽  
Rebecca A. Abbott ◽  
Leon Straker
Keyword(s):  
Physical Activity ◽  
Lifestyle Intervention ◽  
Sedentary Time ◽  
Activity Patterns ◽  
Lower Percentage ◽  
Moderate Activity ◽  
Variation Analysis ◽  
Sedentary Behaviors ◽  
Obese Adolescents ◽  
Exposure Variation Analysis

Background:The detailed patterns of physical activity and sedentary behaviors of overweight and obese adolescents are unknown, but may be important for health outcomes and targeted intervention design.Methods:Participants completed Curtin University’s Activity, Food and Attitudes Program (CAFAP), an 8-week intervention with 12 months of maintenance intervention. Physical activity and sedentary time were assessed at 6 time periods with accelerometers and were analyzed by 1) time and type of day, 2) intensity bout patterns using exposure variation analysis, and 3) individual case analysis.Results:Participants (n = 56) spent a lower percentage of time at baseline in light activity during school days compared with weekend days (24.4% vs 29.0%, P = .004). The majority of time was in long uninterrupted sedentary bouts of greater than 30 minutes (26.7% of total time, 36.8% of sedentary time at baseline). Moderate activity was accumulated in short bouts of less than 5 minutes (3.1% of total time, 76.0% moderate time). Changes varied by individuals.Conclusions:Exposure variation analysis revealed specific changes in activity patterns in overweight and obese adolescents who participated in a lifestyle intervention. A better understanding of these patterns can help to design interventions that meaningfully affect specific behaviors, with unique health consequences.

scholarly journals GRADE-ADOLOPMENT Process to Develop 24-Hour Movement Behavior Recommendations and Physical Activity Guidelines for the Under 5s in the United Kingdom, 2019

2020 ◽  
Vol 17 (1) ◽  
pp. 101-108 ◽  
Author(s):  
John J. Reilly ◽  
Adrienne R. Hughes ◽  
Xanne Janssen ◽  
Kathryn R. Hesketh ◽  
Sonia Livingstone ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
De Novo ◽  
Movement Behavior ◽  
Physical Activity Guidelines ◽  
Assessment Development ◽  
The United Kingdom ◽  
The Uk ◽  
First Time

Background: This article summarizes the approach taken to develop UK Chief Medical Officers’ physical activity guidelines for the Under 5s, 2019. Methods: The Grading of Recommendations Assessment, Development and Evaluation (GRADE)-Adaptation, Adoption, De Novo Development (ADOLOPMENT) approach was used, based on the guidelines from Canada and Australia, with evidence updated to February 2018. Recommendations were based on the associations between (1) time spent in sleep, sedentary time, physical activity, and 10 health outcomes and (2) time spent in physical activity and sedentary behavior on sleep outcomes (duration and latency). Results: For many outcomes, more time spent in physical activity and sleep (up to a point) was beneficial, as was less time spent in sedentary behavior. The authors present, for the first time, evidence in GRADE format on behavior type–outcome associations for infants, toddlers, and preschoolers. Stakeholders supported all recommendations, but recommendations on sleep and screen time were not accepted by the Chief Medical Officers; UK guidelines will refer only to physical activity. Conclusions: This is the first European use of GRADE-ADOLOPMENT to develop physical activity guidelines. The process is robust, rapid, and inexpensive, but the UK experience illustrates a number of challenges that should help development of physical activity guidelines in future.

scholarly journals Moving in Sync: Hourly Physical Activity and Sedentary Behavior are Synchronized in Couples

2019 ◽  
Vol 54 (1) ◽  
pp. 10-21 ◽  
Author(s):  
Theresa Pauly ◽  
Jan Keller ◽  
Nina Knoll ◽  
Victoria I Michalowski ◽  
Diana Hilda Hohl ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Activity Promotion ◽  
Accelerometer Data ◽  
Sedentary Behaviors ◽  
Daily Lives ◽  
Individual Level ◽  
Physical Activity Interventions ◽  
Activity Promotion ◽  
Intensity Physical Activity

Abstract Background Overall time spent in moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior are both correlated in couples. Knowledge about the nature and psychosocial correlates of such dyadic covariation could inform important avenues for physical activity promotion. Purpose The present study investigates hour-by-hour covariation between partners (i.e., synchrony) in MVPA and sedentary behavior as partners engage in their daily lives and links it with person-level MVPA/sedentary behavior, temporal characteristics, and relationship variables. Methods We used 7-day accelerometer data from two couple studies (Study 1, n = 306 couples, aged 18–80 years; Study 2, n = 108 couples, aged 60–87 years) to estimate dyadic covariation in hourly MVPA and sedentary behavior between partners. Data were analyzed using coordinated multilevel modeling. Results In both studies, hourly MVPA and sedentary behavior exhibited similarly sized dyadic covariation between partners in the low-to-medium range of effects. Higher MVPA synchrony between partners was linked with higher individual weekly MVPA and higher individual weekly sedentary levels, whereas higher sedentary synchrony between partners was associated with higher individual weekly MVPA but lower individual weekly sedentary levels. MVPA and sedentary synchrony were higher in the morning and evening, more pronounced on weekends, and associated with more time spent together, longer relationship duration, and time-varying perceptions of higher partner closeness. Conclusions This study demonstrates that MVPA and sedentary behaviors do not occur in a social vacuum. Instead, they are linked with close others such as partners. Thus, capitalizing on social partners may increase the effectiveness of individual-level physical activity interventions.

scholarly journals Objectively Measured Sedentary Behavior, Physical Activity, and Cardiometabolic Risk in Hispanic Youth: Hispanic Community Health Study/Study of Latino Youth

2018 ◽  
Vol 103 (9) ◽  
pp. 3289-3298 ◽  
Author(s):  
Garrett Strizich ◽  
Robert C Kaplan ◽  
Daniela Sotres-Alvarez ◽  
Keith M Diaz ◽  
Amber L Daigre ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Latino Youth ◽  
Health Study ◽  
Accelerometer Data ◽  
Linear Regression Models ◽  
Plasminogen Activator Inhibitor 1 ◽  
Wear Time

Abstract Context Time spent in moderate-to-vigorous physical activity (MVPA), but not in sedentary behavior (SB), is related to cardiometabolic risk among non-Hispanic white youth. Objective Examine associations of SB and MVPA with cardiometabolic risk factors among Hispanic/Latino youth. Design Cross-sectional analysis. Setting Four US communities. Participants Hispanic/Latino youth (N = 1,426) ages 8 to 16 years. Measurements Associations of MVPA and SB, measured using 7-day accelerometer data (independent variables), with markers of glucose and lipid metabolism, inflammation, and endothelial function (dependent variables), were assessed in multivariable linear regression models while adjusting for sociodemographic characteristics and accelerometer wear time. Additional models controlled for obesity measures. Results SB comprised a mean (SD) of 75% (13%) of accelerometer wear time; mean (SD) time of MVPA was 35 min/d (22 min/d). Deleterious levels of high-density lipoprotein–cholesterol (HDL-C), triglycerides, insulin resistance, C-reactive protein, and plasminogen activator inhibitor-1 were associated with lower levels of MVPA and higher levels of SB (all P < 0.05). Associations of MVPA with log-transformed triglyceride concentrations (β per 15-min/d increment, −0.039; SE, 0.018; P = 0.037) and SB with HDL-C (β per 30-min/d increment, −0.63; SE, 0.26; P = 0.018), but not those with other markers, remained significant after adjusting for MVPA or SB and further adjustment for body mass index and waist circumference. Higher SB tertiles were associated with lower soluble receptor for advanced glycation end products in fully adjusted models (P for trend = 0.037). Conclusions Physiological precursors of diabetes and cardiovascular disease were associated with MVPA and SB among US Hispanic/Latino youth, a group that bears a disproportionate burden of metabolic disorders.

Data Imputation Improves Sedentary Behavior and Physical Activity Estimates in Low Wear Time Accelerometer Data

2017 ◽  
Vol 49 (5S) ◽  
pp. 1051
Author(s):  
David R. Paul ◽  
Brenda M. Vincent ◽  
Chantal A. Vella ◽  
Philip W. Scruggs ◽  
Ryan P. McGrath
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Accelerometer Data ◽  
Data Imputation ◽  
Wear Time ◽  
Low Wear

The Impact of Low Accelerometer Wear Time on the Estimates and Application of Sedentary Behavior and Physical Activity Data in Adults

2017 ◽  
Vol 14 (12) ◽  
pp. 919-924 ◽  
Author(s):  
Ryan McGrath ◽  
Chantal A. Vella ◽  
Philip W. Scruggs ◽  
Mark D. Peterson ◽  
Christopher J. Williams ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Body Fat ◽  
Regression Models ◽  
Body Fat Percentage ◽  
Accelerometer Data ◽  
Reference Dataset ◽  
Fat Percentage ◽  
Physical Activity Guidelines ◽  
Wear Time

Background:This investigation sought to determine how accelerometer wear (1) biased estimates of sedentary behavior (SB) and physical activity (PA), (2) affected misclassifications for meeting the Physical Activity Guidelines for Americans, and (3) impacted the results of regression models examining the association between moderate to vigorous physical activity (MVPA) and a clinically relevant health outcome.Methods:A total of 100 participants [age: 20.6 (7.9) y] wore an ActiGraph GT3X+ accelerometer for 15.9 (1.6) hours per day (reference dataset) on the hip. The BOD POD was used to determine body fat percentage. A data removal technique was applied to the reference dataset to create individual datasets with wear time ranging from 15 to 10 hours per day for SB and each intensity of PA.Results:Underestimations of SB and each intensity of PA increased as accelerometer wear time decreased by up to 167.2 minutes per day. These underestimations resulted in Physical Activity Guidelines for Americans misclassification rates of up to 42.9%. The regression models for the association between MVPA and body fat percentage demonstrated changes in the estimates for each wear-time adherence level when compared to the model using the reference MVPA data.Conclusions:Increasing accelerometer wear improves daily estimates of SB and PA, thereby also improving the precision of statistical inferences that are made from accelerometer data.

A Validation Study of Assessing Physical Activity and Sedentary Behavior in Children Aged 3 to 5 Years

2010 ◽  
Vol 22 (3) ◽  
pp. 408-420 ◽  
Author(s):  
Li Ming Wen ◽  
Hidde P. van der Ploeg ◽  
James Kite ◽  
Aaron Cashmore ◽  
Chris Rissel
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Correlation Coefficients ◽  
Future Research ◽  
Accelerometer Data ◽  
Sedentary Behaviors ◽  
Childcare Centers ◽  
Reference Measure ◽  
Activity Preferences ◽  
Activity Diary

Assessing young children’s physical activity and sedentary behavior can be challenging and costly. This study aimed to assess the validity of a brief survey about activity preferences as a proxy of physical activity and of a 7-day activity diary, both completed by the parents and using accelerometers as a reference measure. Thirty-four parents and their children (aged 3–5 years) who attended childcare centers in Sydney (Australia) were recruited for the study. Parents were asked to complete a 9-item brief survey about activity preferences of their child and a 7-day diary recording the child’s physical activity and sedentary behaviors. Both measures were compared with accelerometer data collected from the child over the same period as the diary survey. The findings suggest that parent completed diaries have acceptable correlation coefficients with accelerometer measures and could be considered in future research assessing physical activity and sedentary behavior of children aged 3–5 years.

scholarly journals Bi-Directional, Day-to-Day Associations between Objectively-Measured Physical Activity, Sedentary Behavior and Sleep among Office Workers

2021 ◽  
Vol 18 (15) ◽  
pp. 7999
Author(s):  
Emerald G. Heiland ◽  
Örjan Ekblom ◽  
Emil Bojsen-Møller ◽  
Lisa-Marie Larisch ◽  
Victoria Blom ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Mixed Models ◽  
Vigorous Physical Activity ◽  
Sleep Time ◽  
Office Workers ◽  
Sedentary Behaviors ◽  
Physically Active ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

The bi-directional, day-to-day associations between daytime physical activity and sedentary behavior, and nocturnal sleep, in office workers are unknown. This study investigated these associations and whether they varied by weekday or weekend day. Among 324 Swedish office workers (mean age 42.4 years; 33.3% men), moderate-to-vigorous physical activity (MVPA), and sedentary behaviors and sleep (total sleep time (TST) and sleep efficiency (SE)) were ascertained by using accelerometers (Actigraph GT3X) over 8 days. Multilevel linear mixed models were used to assess the bi-directional, day-to-day, within-person associations. Additional analyses stratified by weekend/weekday were performed. On average, participants spent 6% (57 min) of their day in MVPA and 59% (9.5 h) sedentary, and during the night, TST was 7 hours, and SE was 91%. More daytime sedentary behavior was associated with less TST that night, and reciprocally, more TST at night was associated with less sedentary behavior on the following weekday. Greater TST during the night was also associated with less MVPA the next day, only on weekdays. However, daytime MVPA was not associated with TST that night. Higher nighttime SE was associated with greater time spent sedentary and in MVPA on the following day, regardless if weekday or weekend day. Sleep may be more crucial for being physically active the following day than vice versa, especially on weekdays. Nevertheless, sedentary behavior’s relation with sleep time may be bi-directional. Office workers may struggle with balancing sleep and physical activity time.

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