Evaluation of raw acceleration sedentary thresholds in children and adults

Hildebrand, Maria; Hansen, Bjørge Hermann; Hees, Vincent T. van; Ekelund, Ulf

doi:10.1111/sms.12795

Cited by 265 publications

(276 citation statements)

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“…Mean daily time spent (min) and standard deviations (error bars) in sedentary time (SED) and physical activity (PA) considering different attachment sites and metrics. Cut‐points expressed in the legend with the body‐worn attachment site, acceleration metric used, and the first author of the validation study in subscripts, that is, Hildebrand et al, Hänggi et al, Romanzini et al, Chandler et al, and Evenson et al ENMO: Euclidean norm −1 g ; VMCounts: Vector magnitude counts; VACounts: Vertical axis counts; LPA: Light physical activity; MPA: Moderate physical activity; VPA: Vigorous physical activity; MVPA: Moderate‐to‐vigorous physical activity…”

Section: Resultsmentioning

confidence: 99%

“… Cut‐points expressed with the body‐worn attachment site, acceleration metric used, and the first author of the validation study in subscripts, that is, Hildebrand et al, Hänggi et al, Romanzini et al, Chandler et al, and Evenson et al …”

Section: Resultsmentioning

confidence: 99%

“…The primary purpose of this study was to provide a clear picture of which cut‐points are more and less comparable in free‐living conditions in children with overweight/obesity, including traditional (eg, Evenson cut‐points based on VACounts) and recently developed (eg, Hildebrand cut‐points based on ENMO, Romanzini, and Chandler cut‐points based on VMCounts) cut‐points, and when the accelerometer was attached to the hip and wrist. Contrary to what could have been expected, all cut‐points based on VMCounts produced significantly higher estimations of time spent in MVPA than ENMO and VACounts cut‐points, regardless of the attachment site.…”

Section: Discussionmentioning

confidence: 99%

“…Contrary to what could have been expected, all cut‐points based on VMCounts produced significantly higher estimations of time spent in MVPA than ENMO and VACounts cut‐points, regardless of the attachment site. To our knowledge, this is the first study investigating differences across accelerometer‐based estimations of SED and PA intensities using a complete set of available cut‐points, running from the most traditionally used cut‐points for VACounts detected from a hip attachment, that is, the Evenson et al cut‐points, to the newly developed cut‐points for ENMO and VMCounts from both hip and non‐dominant wrist attachments.…”

Section: Discussionmentioning

confidence: 99%

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Comparability of published cut‐points for the assessment of physical activity: Implications for data harmonization

Migueles

Cadenas-Sánchez

Tudor‐Locke

et al. 2019

Scandinavian Med Sci Sports

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This study aimed to compare estimations of sedentary time (SED) and time spent in physical activity (PA) intensities in children with overweight/obesity across different age‐appropriate cut‐points based on different body‐worn attachment sites and acceleration metrics. A total of 104 overweight/obese children (10.1 ± 1.1 years old, 43 girls) concurrently wore ActiGraph GT3X+ accelerometers on their right hip and non‐dominant wrist for 7 days (24 hours). Euclidean norm −1 g (ENMO) and activity counts from both vertical axis (VACounts) and vector magnitude (VMCounts) were derived. We calculated estimates of SED and light, moderate, vigorous, and moderate‐to‐vigorous (MVPA) intensity PA using different published cut‐points for children. The prevalence of children meeting the recommended 60 min/d of MVPA was calculated. The time spent in SED and the different PA intensities largely differed across cut‐points based on different attachment sites and acceleration metrics (ie, SED = 11‐252 min/d; light PA = 10‐217 min/d; moderate PA = 1‐48 min/d; vigorous PA = 1‐35 min/d; MVPA = 4‐66 min/d). Consequently, the prevalence of children meeting the recommended 60 min/d of MVPA varied from 8% to 96% of the study sample. The present study provides a comprehensive comparison between available cut‐points for different attachment and acceleration metrics in children. Furthermore, our data clearly show that it is not possible (and probably will never be) to know the prevalence of meeting the PA guidelines based on accelerometer data since apparent differences range from almost zero to nearly everyone meeting the guidelines.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Comparability of published cut‐points for the assessment of physical activity: Implications for data harmonization

Migueles

Cadenas-Sánchez

Tudor‐Locke

et al. 2019

Scandinavian Med Sci Sports

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100

102

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“…Accelerometry is the most commonly used objective PA measure for children and adults [3, 4]. While there are several accelerometer manufacturers and brands, ActiGraph’s (ActiGraph, LLC, Pensacola, FL, USA) products are currently the most widely used and validated devices in studies exploring children’s PA [4–6].…”

Section: Introductionmentioning

confidence: 99%

Physical activity among children: objective measurements using Fitbit One® and ActiGraph

Hamari¹,

Kullberg²,

Ruohonen³

et al. 2017

BMC Res Notes

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BackgroundSelf-quantification of health parameters is becoming more popular; thus, the validity of the devices requires assessments. The aim of this study was to evaluate the validity of Fitbit One step counts (Fitbit Inc., San Francisco, CA, USA) against Actigraph wActisleep-BT step counts (ActiGraph, LLC, Pensacola, FL, USA) for measuring habitual physical activity among children.DesignThe study was implemented as a cross-sectional experimental design in which participants carried two waist-worn activity monitors for five consecutive days.MethodsThe participants were chosen with a purposive sampling from three fourth grade classes (9–10 year olds) in two comprehensive schools. Altogether, there were 34 participants in the study. From these, eight participants were excluded from the analysis due to erroneous data. Primary outcome measures for step counts were Fitbit One and Actigraph wActisleep-BT. The supporting outcome measures were based on activity diaries and initial information sheets. Classical Bland–Altman plots were used for reporting the results.ResultsThe average per-participant daily difference between the step counts from the two devices was 1937. The range was [116, 5052]. Fitbit One gave higher step counts for all but the least active participant. According to a Bland–Altman plot, the hourly step counts had a relative large mean bias across participants (161 step counts). The differences were partially explained by activity intensity: higher intensity denoted higher differences, and light intensity denoted lower differences.ConclusionsFitbit One step counts are comparable to Actigraph step counts in a sample of 9–10-year-old children engaged in habitual physical activity in sedentary and light physical activity intensities. However, in moderate-to-vigorous physical activity, Fitbit One gives higher step counts when compared to Actigraph.

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Effects of an Exercise Program on Cardiometabolic and Mental Health in Children With Overweight or Obesity

et al. 2023

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ImportanceChildhood obesity is a risk factor associated with type 2 diabetes, cardiovascular disease, and mental disorders later in life. Investigation of the parallel effects of a defined exercise program on cardiometabolic and mental health in children with overweight or obesity may provide new insights on the potential benefits of exercise on overall health.ObjectiveTo investigate the effects of a 20-week exercise program on cardiometabolic and mental health in children with overweight or obesity.Design, Setting, and ParticipantsThis secondary analysis of a parallel-group randomized clinical trial was conducted in Granada, Spain, from November 1, 2014, to June 30, 2016. Data analyses were performed between February 1, 2020, and July 14, 2022. Children with overweight or obesity aged 8 to 11 years were eligible, and the study was performed in an out-of-school context.InterventionThe exercise program included 3 to 5 sessions/wk (90 min/session) of aerobic plus resistance training for 20 weeks. The wait-list control group continued with their usual routines.Main Outcomes and MeasuresCardiometabolic outcomes as specified in the trial protocol included body composition (fat mass, fat-free mass, and visceral adipose tissue), physical fitness (cardiorespiratory, speed-agility, and muscular), and traditional risk factors (waist circumference, blood lipid levels, glucose levels, insulin levels, and blood pressure). Cardiometabolic risk score (z score) was calculated based on age and sex reference values for levels of triglycerides, inverted high-density lipoprotein cholesterol, and glucose, the mean of systolic and diastolic blood pressure, and waist circumference. An additional cardiometabolic risk score also included cardiorespiratory fitness. Mental health outcomes included an array of psychological well-being and ill-being indicators.ResultsThe 92 participants included in the per-protocol analyses (36 girls [39%] and 56 boys [61%]) had a mean (SD) age of 10.0 (1.1) years. The exercise program reduced the cardiometabolic risk score by approximately 0.38 (95% CI, −0.74 to −0.02) SDs; decreased low-density lipoprotein cholesterol level by −7.00 (95% CI, −14.27 to 0.37) mg/dL (to convert to mmol/L, multiply by 0.0259), body mass index (calculated as weight in kilograms divided by height in meters squared) by −0.59 (95% CI, −1.06 to −0.12), fat mass index by −0.67 (95% CI, −1.01 to −0.33), and visceral adipose tissue by −31.44 (95% CI, −58.99 to −3.90) g; and improved cardiorespiratory fitness by 2.75 (95% CI, 0.22-5.28) laps in the exercise group compared with the control group. No effects were observed on mental health outcomes.Conclusions and RelevanceIn this secondary analysis of a randomized clinical trial, an aerobic plus resistance exercise program improved cardiometabolic health in children with overweight or obesity but had no effect on mental health.Trial RegistrationClinicalTrials.gov Identifier: NCT02295072

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Evaluation of raw acceleration sedentary thresholds in children and adults

Cited by 265 publications

References 33 publications

Comparability of published cut‐points for the assessment of physical activity: Implications for data harmonization

Comparability of published cut‐points for the assessment of physical activity: Implications for data harmonization

Physical activity among children: objective measurements using Fitbit One® and ActiGraph

Effects of an Exercise Program on Cardiometabolic and Mental Health in Children With Overweight or Obesity

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