Single Versus Multiple Monitoring Periods for Accelerometer-Measured Physical Activity in Medial Knee Osteoarthritis and Asymptomatic Controls

2020 ◽  
Vol 3 (1) ◽  
pp. 29-38
Author(s):  
Kerry E. Costello ◽  
Janie L. Astephen Wilson ◽  
Cheryl L. Hubley-Kozey
Keyword(s):  
Physical Activity ◽  
Knee Osteoarthritis ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Accelerometer Data ◽  
Group Level ◽  
Single Session ◽  
Limits Of Agreement ◽  
Wear Time ◽  
Single Versus

Purpose: 1) To compare group-level physical activity calculated from a single versus multiple non-consecutive, one-week accelerometer monitoring periods in individuals with medial-compartment knee osteoarthritis and asymptomatic controls; and 2) to examine agreement among these estimates of physical activity at the individual-level. Methods: Accelerometer data from 38 individuals with knee osteoarthritis and 47 asymptomatic individuals was collected during three non-consecutive monitoring periods over one year. General linear models examined the effects of number of sessions averaged (one, two, or three) and group on light and moderate-to-vigorous intensity physical activity, step count, and sedentary behavior. Bland Altman analyses examined agreement between one-, two-, and/or three-session averages. Results: There were no sessions by group interactions. There was a main effect of sessions for sedentary behavior that was borderline significant when expressed as percent wear time. Limits of agreement indicated that two-session average versus single-session metrics could differ by ±50 minutes for light physical activity, ±20 minutes for moderate-to-vigorous physical activity, and ±2100 steps per day. Conclusions: These data suggest that objective physical activity monitoring practices might differ between clinical research, where group data are compared, and clinical decision making, where individual data are compared. Good estimates of group level differences in step count, light, and moderate-to-vigorous physical activity were found using a single session of accelerometer data, but a single session of sedentary behavior data should take wear time into account. The large limits of agreement indicate that multiple sessions may be needed to compare these metrics among or within individuals.

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.

U.S. Population Profile of Time-Stamped Accelerometer Outputs: Impact of Wear Time

2011 ◽  
Vol 8 (5) ◽  
pp. 693-698 ◽  
Author(s):  
Catrine Tudor-Locke ◽  
William D. Johnson ◽  
Peter T. Katzmarzyk
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Population Estimates ◽  
Sedentary Behaviors ◽  
Data Set ◽  
Mean Values ◽  
Wear Time ◽  
Health And Nutrition ◽  
Time Variables

Background:We examined the effects of wear time on a population profile of time-stamped accelerometer outputs using the 2005−2006 National Health and Nutrition Examination Survey (NHANES) data representing 3744 adults ≥ 20 years of age.Methods:Outputs included activity counts, steps, and time variables: nonwear (macro-determined), sedentary behavior (<100 activity counts/minute), and time in low (100−499 activity counts/minute), light (500−2019 activity counts/minute), and moderate-to-vigorous physical activity (MVPA; ≥2020 activity counts/minute) intensities. We describe mean values according to a 24-hour clock. Analysis was repeated in a reduced data set with only those who wore the accelerometer for 60 minutes within each considered hour of the day.Results:Between 12:00 and 17:00, U.S. adults spend approximately 31 minutes each hour in sedentary behaviors, and approximately 14 minutes, 10 minutes, and 2 minutes in low, light, and MVPA intensity activity, respectively. Removing the effect of nonwear time, sedentary behaviors are reduced in the morning hours and increase in the evening hours.Conclusion:At either end of the day, nonwear time appears to distort population estimates of all accelerometer time and physical activity volume indicators, but its effects are particularly clear on population estimates of time spent in sedentary behavior.

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.

scholarly journals A Location-Based Objective Assessment of Physical Activity and Sedentary Behavior in Ambulatory Hemodialysis Patients

2019 ◽  
Vol 6 ◽  
pp. 205435811987296
Author(s):  
Keigan M. More ◽  
Chris Blanchard ◽  
Olga Theou ◽  
Alec Cranston ◽  
Amanda J. Vinson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Hemodialysis Patients ◽  
Activity Level ◽  
Gps Data ◽  
Care Hospital ◽  
Dialysis Patients ◽  
Light Physical Activity ◽  
Wear Time

Background: Dialysis patients have reduced moderate to vigorous physical activity, and light physical activity. This has been shown in self-reported surveys and objective accelerometer studies. Less attention has been directed toward sedentary behavior, which is characterized by low energy expenditure (≤1.5 metabolic equivalents). Furthermore, locations where physical activity and sedentary behavior occur are largely unknown for dialysis patients. Objectives: The objectives of this study were (1) to determine the minutes per day of moderate to vigorous physical activity, light physical activity, and sedentary behavior for hemodialysis patients; (2) to describe differences in moderate to vigorous physical activity, light physical activity, and sedentary behavior comparing dialysis versus nondialysis days; and (3) to describe the locations where moderate to vigorous physical activity, light physical activity, and sedentary behavior occur using global positioning system (GPS) data. Design: Cross-sectional study. Setting: The study was performed at a tertiary care hospital in Nova Scotia, Canada. Patients: A total of 50 adult in-center hemodialysis patients consented to the study. Measurements: Physical activity and sedentary behavior were measured with an Actigraph-GT3X accelerometer. Location was determined using a Qstarz BT-Q1000X GPS receiver. Methods: Minutes of daily activity were described as was percentage of wear time for each activity level across different locations during waking hours. Physical activity intensity, quantity, and location were also analyzed according to dialysis vs nondialysis days. Results: Forty-three patients met requirements for accelerometer analysis, of whom 42 had GPS data. Median wear time was 836.5 min/day (interquartile range [IQR]: 788.3-918.3). Median minutes of daily wear time spent in sedentary behavior, light physical activity, and moderate to vigorous physical activity was 636 minutes (IQR: 594.1-730.1), 178 minutes (IQR: 144-222.1), and 1.6 minutes (IQR: 0.6-7.7), respectively. Proportion of daily wear time spent in sedentary behavior, light physical activity, and moderate to vigorous physical activity was 78.4% (IQR: 70.7-84.0), 21.5% (IQR: 16.0-26.9), and 0.2% (IQR: 0.1-1.1), respectively. Home was the dominant location for total linked accelerometer-GPS time (59.4%, IQR: 46.9-69.5) as well as for each prespecified level of activity. Significantly more sedentary behavior and less light physical activity occurred on dialysis days compared with nondialysis days ( P ≤ .01, respectively). Moderate to vigorous physical activity did not differ significantly between dialysis and nondialysis days. Limitations: Small sample size from a single academic center may limit generalizability. Difficult to engage population as less than half of eligible dialysis patients provided consent. Physical activity may have been underestimated as devices were not worn for all waking hours or aquatic activities, and hip-based accelerometers may not capture stationary exercise. Conclusions: Ambulatory, in-center hemodialysis patients exhibit substantial sedentary behavior and minimal physical activity across a limited range of locations. Given the sedentary tendencies of this population, focus should be directed on increasing physical activity at any location frequented. Home-based exercise programs may serve as a potential adjunct to established intradialytic-based therapies given the amount of time spent in the home environment.

scholarly journals Effects of Varying Epoch Lengths, Wear Time Algorithms, and Activity Cut-Points on Estimates of Child Sedentary Behavior and Physical Activity from Accelerometer Data

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0150534 ◽  
Author(s):  
Jorge A. Banda ◽  
K. Farish Haydel ◽  
Tania Davila ◽  
Manisha Desai ◽  
Susan Bryson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Accelerometer Data ◽  
Cut Points ◽  
Wear Time

Abstract P248: Objectively Measured Physical Activity and Sedentary Behavior Change During a Lifestyle Intervention in Overweight Adults: Does Season Matter?

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Bonny Rockette-Wagner ◽  
Andrea M Kriska ◽  
Qianheng Ma ◽  
Susan M Sereika ◽  
Christopher C Imes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Lifestyle Intervention ◽  
Disease Risk ◽  
Lifestyle Interventions ◽  
Accelerometer Data ◽  
Wear Time ◽  
Step Counts ◽  
Valid Assessment ◽  
Objectively Measured

Introduction: Lifestyle interventions, with physical activity (PA) as a key component, are important to reducing cardiometabolic disease risk. In our work in both efficacy and effectiveness clinical trials, we have shown that season has a significant impact on subjectively determined moderate-vigorous (MV) PA levels, both at baseline and during the intervention. However, the effect of season in these lifestyle interventions has not yet been examined utilizing objective measurements of PA so that time spent in all PA intensities and sedentary behavior(SB) can be quantified. Hypothesis: Our hypothesis is that PA would increase and SB would decrease due to the intervention but that season would have an additional effect on both. Methods: We enrolled 150 overweight/obese adults (51.1±10.2 y; 79% Caucasian; 91% female) in a 12-month lifestyle intervention for weight loss that provided regular feedback to participants on diet and PA goal achievement. Six cohorts were recruited from 2012-2014. The PA goal was to achieve and maintain 150 minutes/week of MVPA. ActiGraph GT3x accelerometers, worn on the waist, were used to assess average daily step counts and time spent in PA and SB. Accelerometer recordings with 10 hours/day of wear time on ≥4 days were considered a valid assessment of typical PA and SB. Changes in activity variables at 6 months and 12 months were examined using linear mixed models. We also examined the season (winter, spring, summer, or autumn) when the intervention was implemented and if this affected changes in PA and SB. Results: Baseline accelerometer data were valid for 149 participants. Mean (SD) baseline values were 6132 (1873) steps counts/day, 11 (11) MVPA min/day, 245 (64) light intensity (L)PA min/day, 635 (85) SB min/day. Season was significantly related to step counts, LPA, MVPA, and SB with significantly lower PA and higher SB in the winter (p<0.05). Changes in LPA and SB were not significant over the entire follow-up (p>0.05). When adjusted (for monitor wear time/day and season) mean (SD) increases in step counts from baseline were 1128 (208) and 742(209) steps/day at 6 and 12 months, respectively (both p<0.0001). For MVPA adjusted mean (SD) increases from baseline were 7(1) and 6(1) min/day at 6 and 12 months, respectively (both p<0.0001). Conclusions: Relevant improvements in steps counts and MVPA were recorded at 6 and 12 months. This was true even after controlling for the effect of differences in the season of implementation. When considering the effect of lifestyle interventions on activity, future studies should consider the effect of seasonal changes on PA levels.

Abstract P138: Association between Cardiovascular Fitness and Accelerometer-Derived Physical Activity and Sedentary Time in the General Population

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Jacquelyn Kulinski ◽  
Amit Khera ◽  
Colby Ayers ◽  
Sandeep Das ◽  
James de Lemos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Cardiovascular Fitness ◽  
Inverse Association ◽  
Accelerometer Data ◽  
Vigorous Activity ◽  
Vo2 Max ◽  
Wear Time ◽  
A Minor

Objectives: Prior literature suggests that sedentary behavior may represent a risk factor that is independent of physical activity. The mechanism for this association remains poorly understood. We hypothesized that sedentary behavior might be inversely associated with cardiorespiratory fitness, independent of moderate and vigorous activity. Methods: We included 2,223 participants (ages 12-49 years, 47% female) without known heart disease who had both cardiovascular fitness testing and at least one valid day of accelerometer data from NHANES 2003-2004. From accelerometer data, we quantified bouts of exercise (at least 8 of 10 minutes above previously defined thresholds corresponding to moderate- or vigorous-intensity activity) as mean minutes of activity bouts per day for each participant. Sedentary time was defined as <100 counts per minute of wear time in mean minutes per day. VO2 max estimates were derived from a sub-maximal exercise treadmill test using measured heart rate responses to known levels of exercise workloads. Multivariable-adjusted linear regression analyses were performed with fitness as the dependent variable. Models were stratified by gender and adjusted for age, BMI, mean wear time and included both sedentary and moderate-vigorous activity time. Results: We observed that moderate and vigorous exercises levels were positively correlated to VO2 max (R=0.237, p<0.0001). Sedentary time was found to be inversely associated with VO2 max (R=-0.07, p=0.002). With each additional minute of moderate-vigorous activity, VO2 max increased by 0.05 ml/kg/min (p=0.001, men) and 0.08 ml/kg/min (p=0.004, women). For each additional minute of sedentary time, VO2 decreased by 0.01 ml/kg/min in both men (p=0.026) and women (p=0.001). Conclusions: After adjustment for moderate and vigorous activity, sedentary behavior appears to have a minor, inverse association with fitness. These findings suggest that the risk related to sedentary behavior might be mediated, in part, through lower fitness levels.

scholarly journals Cannabis use, sedentary behavior, and physical activity in a nationally representative sample of US adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lydia Q. Ong ◽  
John Bellettiere ◽  
Citlali Alvarado ◽  
Paul Chavez ◽  
Vincent Berardi
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Health Impact ◽  
Cannabis Use ◽  
Objective Measures ◽  
Health And Nutrition ◽  
Nationally Representative ◽  
The Relationship ◽  
Potential Public Health

Abstract Background Prior research examining the relationship between cannabis use, sedentary behavior, and physical activity has generated conflicting findings, potentially due to biases in the self-reported measures used to assess physical activity. This study aimed to more precisely explore the relationship between cannabis use and sedentary behavior/physical activity using objective measures. Methods Data were obtained from the 2005–2006 National Health and Nutrition Examination Survey. A total of 2,092 participants (ages 20–59; 48.8% female) had accelerometer-measured sedentary behavior, light physical activity, and moderate-to-vigorous physical activity. Participants were classified as light, moderate, frequent, or non-current cannabis users depending on how often they used cannabis in the previous 30 days. Multivariable linear regression estimated minutes in sedentary behavior/physical activity by cannabis use status. Logistic regression modeled self-reported moderate-to-vigorous physical activity in relation to current cannabis use. Results Fully adjusted regression models indicated that current cannabis users’ accelerometer-measured sedentary behavior did not significantly differ from non-current users. Frequent cannabis users engaged in more physical activity than non-current users. Light cannabis users had greater odds of self-reporting physical activity compared to non-current users. Conclusions This study is the first to evaluate the relationship between cannabis use and accelerometer-measured sedentary behavior and physical activity. Such objective measures should be used in other cohorts to replicate our findings that cannabis use is associated with greater physical activity and not associated with sedentary behavior in order to fully assess the potential public health impact of increases in cannabis use.

Convergent Validity of a Piezoelectric Pedometer and an Omnidirectional Accelerometer for Measuring Children’s Physical Activity

2011 ◽  
Vol 23 (3) ◽  
pp. 399-410 ◽  
Author(s):  
Scott Duncan ◽  
Kate White ◽  
Losi Sa’ulilo ◽  
Grant Schofield
Keyword(s):  
Physical Activity ◽  
Convergent Validity ◽  
Vigorous Physical Activity ◽  
Limits Of Agreement ◽  
Metabolic Equivalent ◽  
Low Level ◽  
School Day ◽  
Level 3 ◽  
Equivalent Test ◽  
Children’S Physical Activity

The aim of this study was to assess the convergent validity of a new piezoelectric pedometer and an omnidirectional accelerometer for assessing children’s time spent in moderate to vigorous physical activity (MVPA). A total of 114 children (51 boys, 63 girls) aged 5–11 years wore a sealed NL-1000 piezoelectric pedometer (New Lifestyles Inc, Lee’s Summit, MO) and an Actical accelerometer (Mini Mitter, Bend, OR) over one school day. The NL-1000 pedometers were randomized to one of two manual intensity thresholds used to define MVPA (1): Level 3 = 2.9 metabolic equivalent test (MET) and (2) Level 4 = 3.6 MET. Compared with the Actical, the NL-1000 underestimated the time spent in MVPA by 37% and 45% at intensity levels 3 and 4, respectively. In addition, the 95% limits of agreement were wide at both intensity levels (level 3 = -144%, 70%; level 4 = -135%, 45%), indicating a low level of precision.

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