scholarly journals Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments

2019 ◽  
Vol 16 (21) ◽  
pp. 4244 ◽  
Author(s):  
Soyang Kwon ◽  
Kyle Honegger ◽  
Maryann Mason
Keyword(s):  
Physical Activity ◽  
Early Childhood ◽  
Light Intensity ◽  
Wearable Sensor ◽  
Convenience Sample ◽  
Cut Points ◽  
Actigraph Accelerometer ◽  
Vigorous Intensity ◽  
Accelerometer Cut Points ◽  
Over Time

Physical activity (PA) habits seem to track over time from as young as early childhood. For children under age 3 years, wearable sensor-measured PA levels have begun to be investigated. The aims of this study were to evaluate the feasibility of using hip- vs. wrist-worn accelerometers, and to report accelerometer-derived PA metrics among toddlers. A convenience sample of 22 toddlers aged 13 to 35 months and their mothers were recruited for this study. ActiGraph wGT3X-BT accelerometers were attached to wrist bands and waist belts. The mothers were asked to affix a wrist band and a waist belt to their participating children during waking hours for four days. They also completed an acceptability survey. Of the 22 toddlers, 19 (86%) had ≥ 3 valid days of hip data, while only 14 (64%) did so for wrist data (p = 0.16). In terms of acceptability, 18 mothers (82%) responded that the 4-day hip wear was easy, while only 13 (59%) responded that the 4-day wrist wear was easy (p = 0.19). Daily light-intensity PA (LPA) was on average 161 min, and daily moderate- and vigorous-intensity PA (MVPA) was on average 47 min, as determined using published hip accelerometer cut-points. There were no significant differences in LPA or MVPA by age or by sex. In conclusion, this study suggests that hip placement of an ActiGraph accelerometer is more feasible than wrist placement among toddlers.

scholarly journals Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252615
Author(s):  
Karin Bammann ◽  
Nicola K. Thomson ◽  
Birte Marie Albrecht ◽  
Duncan S. Buchan ◽  
Chris Easton
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Age Groups ◽  
Physical Activity Intensity ◽  
Convenience Sample ◽  
Cut Points ◽  
Everyday Activities ◽  
Activity Intensity ◽  
Study Participants ◽  
Accelerometer Cut Points

The study of physical activity in older adults is becoming more and more relevant. For evaluation of physical activity recommendations, intensity-specific accelerometer cut-points are utilized. However, research on accelerometer cut-points for older adults is still scarce. The aim of the study was to generate placement-specific cut-points of ActiGraph GT3X+ activity counts and raw measures of acceleration to determine physical activity intensity in older adults. A further aim was to compare the validity of the generated cut-points for a range of different physical activities. The study was a single experimental trial using a convenience sample. Study participants were 20 adults aged 59 to 73 years. Accelerometers were worn at six different placements (one on each wrist, one on each ankle, and two at the hip) and breath-by-breath indirect calorimetry was used as the reference for energy. The experiment comprised of two parts; a) The first required participants to walk on a treadmill at incremental speeds (3.0–5.0 km·h-1), and b) Five different everyday activities (reading, cleaning, shopping, cycling, aerobics) were staged in the laboratory setting. Accelerometer cut-points (activity counts, raw data) were derived for each of the investigated placements by linear regression using the treadmill part. Performance of the cut-points was assessed by applying the cut-points to the everyday activities. We provide cut-points for six placements and two accelerometer metrics in the specific age group. However, the derived cut-points did not outperform published ones. More research and innovative approaches are needed for improving internal and external validity of research results across populations and age groups.

The Relationship of Actigraph Accelerometer Cut-Points for Estimating Physical Activity With Selected Health Outcomes

2012 ◽  
Vol 83 (3) ◽  
pp. 422-430 ◽  
Author(s):  
Paul D. Loprinzi ◽  
Hyo Lee ◽  
Bradley J. Cardinal ◽  
Carlos J. Crespo ◽  
Ross E. Andersen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Outcomes ◽  
Cut Points ◽  
Actigraph Accelerometer ◽  
Relationship Of ◽  
Accelerometer Cut Points ◽  
The Relationship

scholarly journals Development of Step-Count Cut Points for School-Day Vigorous Physical Activity

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Ryan D. Burns ◽  
Timothy A. Brusseau ◽  
You Fu ◽  
Peng Zhang
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Step Count ◽  
Convenience Sample ◽  
Cut Points ◽  
Step Counts ◽  
School Day ◽  
The Usa

Background. No study has established step-count cut points for varying amounts of accelerometer-assessed vigorous physical activity (VPA) accrued during the school day in children. The purpose of this study was to establish step-count cut points for discriminating children meeting VPA in 5 minutes, 10 minutes, 15 minutes, and 20 minutes per 7-hour school day. Methods. Participants were a convenience sample of 1,053 children (mean age = 8.4 (1.8) years) recruited from 5 schools from the Mountain West region of the USA. Data within students were observed across multiple semesters totaling 2,119 separate observations. Step counts and time in VPA were assessed using ActiGraph wGT3X-BT triaxial accelerometers that were worn during the entirety of a 7-hour school day for one school week. Average censored step counts and minutes in VPA were calculated across 3 to 5 days. Receiver operating characteristic (ROC) curves were employed to derive step counts via calculation of the maximum Youden J statistic. Results. Area-under-the-curve (AUC) scores ranged from AUC = 0.81 (95% CI: 0.78–0.83; p<0.001) for meeting at least 5 minutes of VPA to AUC = 0.94 (95% CI: 0.88–1.00, p<0.001) for meeting at least 20 minutes of VPA. Approximately 3,460 steps best discriminated children meeting at least 5 minutes of VPA (sensitivity = 74.0%, specificity = 74.0%, and accuracy = 74.1%) and approximately 5,628 steps best discriminated children meeting at least 20 minutes per day of VPA (sensitivity = 85.7%, specificity = 95.1%, and accuracy = 95.1%). Conclusion. Step counts can discriminate with reasonable accuracy children that meet at least 5 minutes of school-day VPA and with strong accuracy children that meet 20 minutes of school-day VPA.

Abstract P143: Vigorous Physical Activity and 3-year Changes in Weight and Other Cardiometabolic Parameters in Youth: A Prospective Cohort Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Jonathan McGavock ◽  
Valerie Carson ◽  
Randi Lynn Rinaldi ◽  
Brian Torrance ◽  
Katerina Maximova ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Cohort Study ◽  
Waist Circumference ◽  
Light Intensity ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Normal Blood ◽  
Normal Blood Pressure ◽  
Vigorous Intensity

Introduction: Few data exist describing the temporal association between the time spent within various intensities of physical activity (PA) and cardiometabolic health outcomes in youth. Study Hypotheses: In contrast to light- or moderate-intensity physical activity (PA) Vigorous- intensity PA would be associated with a reduced risk incident overweight and high normal blood pressure and (2) time spent in vigorous-intensity but not moderate- or light-intensity PA would be associated with cardiometabolic risk factors two years following baseline measurements. Design and Methods: This was a 3-year prospective cohort study of objectively-measured PA (Actical) in 315 youth aged 9 to-17 yrs of age studied in 14 schools. The primary exposure variable was PA intensity. The main outcomes measures were incident overweght status and high normal blood pressure. Secondary outcomes included disproportionate weight gain (annual change in body mass index Z score), waist circumference, systolic blood pressure (SBP), and cardiorespiratory fitness (VO 2 max) at the three year time point. Results: After three year follow-up, increasing time spent in any of the three PA intensities was not associated with incident overweight or incident high normal blood pressure. Compared to the lowest quartile, waist circumference [β = -0.04 95% CI = -0.07 to -0.01; p trend <0.01) and SBP [β = -3.08 95% CI = -6.79 to 0.64; p trend = 0.05] were lower in boys while VO 2 max was significantly higher [43.3 (39.6-46.4) vs 50.2 (43.8-52.9) mL/kg/min; p trend <0.01] in both boys and girls in the highest quartile of vigorous PA. These trends were not observed or reversed across quartiles of moderate- and light-intensity PA. Conclusions: Increasing time spent in vigorous-intensity PA at 12 years of age was associated with a more favorable cardiometabolic profile two years later. Similar trends were not evident for lower intensity PA. Experimental trials are needed to determine if these associations are causal in nature.

scholarly journals Using Accelerometers in Youth Physical Activity Studies: A Review of Methods

2013 ◽  
Vol 10 (3) ◽  
pp. 437-450 ◽  
Author(s):  
Kelli L. Cain ◽  
James F. Sallis ◽  
Terry L. Conway ◽  
Delfien Van Dyck ◽  
Lynn Calhoon
Keyword(s):  
Physical Activity ◽  
Decision Rule ◽  
Decision Rules ◽  
Moderate Intensity ◽  
Accelerometer Data ◽  
Cut Points ◽  
Moderate Intensity Physical Activity ◽  
Youth Physical Activity ◽  
Intensity Physical Activity ◽  
Over Time

Background:In 2005, investigators convened by the National Cancer Institute recommended development of standardized protocols for accelerometer use and reporting decision rules in articles. A literature review was conducted to document accelerometer methods and decision rule reporting in youth physical activity articles from 2005−2010.Methods:Nine electronic databases identified 273 articles that measured physical activity and/or sedentary behavior using the most-used brand of accelerometer (ActiGraph). Six key methods were summarized by age group (preschool, children, and adolescents) and trends over time were examined.Results:Studies using accelerometers more than doubled from 2005−2010. Methods included 2 ActiGraph models, 6 epoch lengths, 6 nonwear definitions, 13 valid day definitions, 8 minimum wearing day thresholds, 12 moderate-intensity physical activity cut points, and 11 sedentary cut points. Child studies showed the most variation in methods and a trend toward more variability in cut points over time. Decision rule reporting improved, but only 54% of papers reported on all methods.Conclusion:The increasing diversity of methods used to process and score accelerometer data for youth precludes comparison of results across studies. Decision rule reporting is inconsistent, and trends indicate declining standardization of methods. A methodological research agenda and consensus process are proposed.

scholarly journals Cross‐validation of Actigraph derived accelerometer cut‐points for assessment of sedentary behaviour and physical activity in children aged 8‐11 years

2020 ◽  
Vol 109 (9) ◽  
pp. 1825-1830 ◽  
Author(s):  
Michael J. Duncan ◽  
Emma L. J. Eyre ◽  
Val Cox ◽  
Clare M. P. Roscoe ◽  
Mark A. Faghy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Cross Validation ◽  
Cut Points ◽  
Accelerometer Cut Points

scholarly journals Accelerometer and GPS Analysis of Trail Use and Associations With Physical Activity

2018 ◽  
Vol 15 (7) ◽  
pp. 523-530 ◽  
Author(s):  
Kosuke Tamura ◽  
Jeffrey S. Wilson ◽  
Robin C. Puett ◽  
David B. Klenosky ◽  
William A. Harper ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Global Positioning System ◽  
Moderate Intensity ◽  
Gps Data ◽  
Accelerometer Data ◽  
Trail Use ◽  
Concurrent Use ◽  
Global Positioning ◽  
Vigorous Intensity

Background: Concurrent use of accelerometers and global positioning system (GPS) data can be used to quantify physical activity (PA) occurring on trails. This study examined associations of trail use with PA and sedentary behavior (SB) and quantified on trail PA using a combination of accelerometer and GPS data. Methods: Adults (N = 142) wore accelerometer and GPS units for 1–4 days. Trail use was defined as a minimum of 2 consecutive minutes occurring on a trail, based on GPS data. We examined associations between trail use and PA and SB. On trail minutes of light-intensity, moderate-intensity, and vigorous-intensity PA, and SB were quantified in 2 ways, using accelerometer counts only and with a combination of GPS speed and accelerometer data. Results: Trail use was positively associated with total PA, moderate-intensity PA, and light-intensity PA (P < .05). On trail vigorous-intensity PA minutes were 346% higher when classified with the combination versus accelerometer only. Light-intensity PA, moderate-intensity PA, and SB minutes were 15%, 91%, and 85% lower with the combination, respectively. Conclusions: Adult trail users accumulated more PA on trail use days than on nontrail use days, indicating the importance of these facilities for supporting regular PA. The combination of GPS and accelerometer data for quantifying on trail activity may be more accurate than accelerometer data alone and is useful for classifying intensity of activities such as bicycling.

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