Clinimetric review of motion sensors in children and adolescents

Vries, S.I. de; Bakker, Ingrid; Hopman-Rock, M.; Hirasing, R.A.; Mechelen, Willem van

doi:10.1016/j.jclinepi.2005.11.020

Cited by 205 publications

(198 citation statements)

References 51 publications

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“…The Actigraph/computer science and applications is the most commonly used motion sensor in children and has a good reproducibility, validity and feasibility. 20 This particular type of PA assessment has been shown to be valid across different activities in 3-to 5-year old children, with a Pearson correlation coefficient of r ¼ 0.82 between VO 2 (ml kg À1 min À1 ) and Actigraph counts/epoch. 21 The accelerometers were worn around the hip.…”

Section: Study Design and Participantsmentioning

confidence: 95%

Relationship of physical activity with motor skills, aerobic fitness and body fat in preschool children: a cross-sectional and longitudinal study (Ballabeina)

et al. 2011

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Background: Adiposity, low aerobic fitness and low levels of activity are all associated with clustered cardiovascular disease risk in children and their high prevalence represents a major public health concern. Objective: The aim of this study is to investigate the relationship of objectively measured physical activity (PA) with motor skills (agility and balance), aerobic fitness and %body fat in young children. Design: This study is a cross-sectional and longitudinal analyses using mixed linear models. Longitudinal data were adjusted for baseline outcome parameters. Subjects: In all, 217 healthy preschool children (age 4-6 years, 48% boys) participated in this study. Measurements: PA (accelerometers), agility (obstacle course), dynamic balance (balance beam), aerobic fitness (20-m shuttle run) and %body fat (bioelectric impedance) at baseline and 9 months later. Results: PA was positively associated with both motor skills and aerobic fitness at baseline as well as with their longitudinal changes. Specifically, only vigorous, but not total or moderate PA, was related to changes in aerobic fitness. Higher PA was associated with less %body fat at baseline, but not with its change. Conversely, baseline motor skills, aerobic fitness or %body fat were not related to changes in PA. Conclusion: In young children, baseline PA was associated with improvements in motor skills and in aerobic fitness, an important determinant of cardiovascular risk.

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Section: Study Design and Participantsmentioning

confidence: 95%

Relationship of physical activity with motor skills, aerobic fitness and body fat in preschool children: a cross-sectional and longitudinal study (Ballabeina)

et al. 2011

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“…Accelerometers measure acceleration of the body part to which they are attached (de Vries et al 2009). It is argued that acceleration of the body is directly proportional to the muscular forces generated, which relates directly to energy expenditure (Freedson and Miller 2000) although their ability to accurately estimate energy expenditure in young children is questionable (de Vries et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Validity of wrist worn accelerometers and comparability between hip and wrist placement sites in estimating physical activity behaviour in preschool children

Hislop

Palmer²,

Anand

et al. 2016

Physiol. Meas.

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Wrist-worn accelerometers can increase compliance with wearing accelerometers, however, several large scale studies continue to use hip-worn accelerometers and it is unclear how comparable data is from the two sites. The study aims were: to investigate agreement between wrist-and hip-worn accelerometers and to determine the validity of Johansson et al cut-points for wrist worn accelerometers in preschool children.A sample of 32 preschool children (21 boys, 4.2 (0.5) years, BMI 16.6 (1.1)) were videoed wearing GT3X+ accelerometers on their wrist and hip while they engaged in 1 hour of free-play in their nursery.Children's activity were coded using, the Children's Activity Rating Scale (CARS): with CARS, level 1 'sedentary' and levels 2 to 5 were classified as time spent in TPA. Accelerometry data were processed using Johansson et al cut-points for the wrist data and Evenson et al cut-points for the hip data, into time spent in different intensities of PA. The mean counts per minute (cpm) from the hip and wrist were compared.There was a strong correlation between the hip and wrist cpm (r=0.81, p<0.01) and total count data (r=0.83 p<0.01), however there was a large systematic bias with wide limits of agreement. Good agreement (mean difference (LOA) 1.1 (-9.9, 12.1) was found between the CARS estimate of TPA (29.

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“…There is a number of assessments available for evaluating physical activity, such as self-administered questionnaires of physical activity, pedometers, accelerometers, and supervised cardio-vascular training programs [11,21,22]. However, each method has its own strengths and limitations.…”

Section: Discussionmentioning

confidence: 99%

“…Although its reliability, validation, and application in measuring physical activeity in different population have been reported [10][11][12][13][14][15], the relationship between disease activity and energy expenditure measured by the RT3 accelerometer in SLE patients has not been previously established.…”

Section: Introductionmentioning

confidence: 99%

Estimates of energy expenditure using the RT3 accelerometer in patients with systemic lupus erythematosus

Tso¹,

Huang²,

Chang³

2010

Health

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This study aimed to characterize energy expenditure patterns using the tri-axial accelerometer and to identify the association of energy expenditure with clinical parameters in patients with systemic lupus erythematosus (SLE). Estimates of energy expenditures represented by total activity calorie (TA), physical activity calorie (PA), total activity calorie per body weight (TABW), and physical activity calorie per body weight (PABW) of 49 female SLE patients were assessed using the RT3 tri-axial accelerometer (StayHealthy, Monrovia, CA) in a seven-day period. SLE patients in the highest body mass index (BMI) tertile showed significantly lower values of TABW compared to those in the lowest tertile, while SLE patients in the lowest TABW tertile showed significantly higher body weight, waist circumference, BMI, SLE disease activity index (SLEDAI), dosage of prednisone, and blood pressure. There was a high prevalence of metabolic syndrome and SLE patients with metabolic syndrome showed significantly lower TABW. In addition, both TABW and PABW significantly but negatively correlated with SLEDAI. In conclusion, the RT3 accelerometer is suitable for evaluating total and physical activity-related energy expenditure in patients with SLE. TABW measured by the tri-axial accelerometer is inversely related with body weight status and disease activity in SLE patients. This suggests that estimates of energy expenditure by the tri-axial accelerometer may be applied in the management of SLE.

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Clinimetric review of motion sensors in children and adolescents

Cited by 205 publications

References 51 publications

Relationship of physical activity with motor skills, aerobic fitness and body fat in preschool children: a cross-sectional and longitudinal study (Ballabeina)

Relationship of physical activity with motor skills, aerobic fitness and body fat in preschool children: a cross-sectional and longitudinal study (Ballabeina)

Validity of wrist worn accelerometers and comparability between hip and wrist placement sites in estimating physical activity behaviour in preschool children

Estimates of energy expenditure using the RT3 accelerometer in patients with systemic lupus erythematosus

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