Validation of Uniaxial and Triaxial Accelerometers for the Assessment of Physical Activity in Preschool Children

Adolph, Anne L.; Puyau, Maurice R.; Vohra, Firoz A.; Nicklas, Theresa A.; Zakeri, Issa; Butte, Nancy F.

doi:10.1123/jpah.9.7.944

Cited by 91 publications

(136 citation statements)

References 24 publications

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“…As such further investigation to compare wrist and hip accelerometry over a longer period of time, in day to day living, is important in gaining greater understanding of the relationship between monitor output. Secondly the CARS as a criterion measure has been questioned (Adolph et al 2012, Oliver et al 2007. Adolph et al (2012) argues that while direct observation is critical for identification of type of activity; this method lacks precision in quantifying intensity levels and thus energy expenditure.…”

Section: Discussionmentioning

confidence: 99%

“…Secondly the CARS as a criterion measure has been questioned (Adolph et al 2012, Oliver et al 2007. Adolph et al (2012) argues that while direct observation is critical for identification of type of activity; this method lacks precision in quantifying intensity levels and thus energy expenditure. Moreover, Oliver et al (2007) argues that direct observation should be considered as a subjective method, as it relies on the observer to observe, interpret and code children's physical activity behaviour.…”

Section: Discussionmentioning

confidence: 99%

“…Accelerometers offer an objective means of quantifying physical activity and hip worn accelerometers have been validated for use with preschool children (De Decker et al 2013, Adolph et al 2012, Hislop et al 2012. Accelerometers measure acceleration of the body part to which they are attached (de Vries et al 2009).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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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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“…The Actical accelerometer has been validated for measuring PA in children and youth. 16 Accelerometers were initialized to start collecting data at midnight following the MEC visit. Data were then downloaded, and the monitor was checked to determine if it still adhered to the manufacturer's calibration specifications.…”

Section: Methodsmentioning

confidence: 99%

“…17 The cut-points used for determining PA intensity were: SED (25 counts per 15-second epoch and 100 counts per 60-second epoch) and MVPA (288 counts per 15-second epoch and 1,150 counts per 60-second epoch). 16,23 Any values between these cut-points were categorized as light PA.…”

Section: Data Treatmentmentioning

confidence: 99%

Outdoor time, physical activity and sedentary time among young children: The 2012–2013 Canadian Health Measures Survey

Larouche

Garriguet

Tremblay

2016

Can J Public Health

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OBJECTIVES: Previous studies have shown that children who spend more time outdoors are more active and spend less time sedentary, but these studies were limited by the use of small convenience samples. We examined the relationship between outdoor time and measures of physical activity (PA), screen time and sedentary time in a nationally-representative sample of young children.METHODS: Parental reports of outdoor time were obtained for 594 children aged 3-6 years (47.8% girls) who participated in the 2012-2013 Canadian Health Measures Survey. Participants were asked to wear an Actical accelerometer for seven consecutive days. Outdoor time and screen time were assessed by parent reports. The relationships between outdoor time and measures of PA, screen time and sedentary time were examined with linear regression models. Adherence to PA guidelines was estimated based on a betabinomial distribution, and adherence with the screen time guidelines was assessed through logistic regression models. All analyses were stratified by age group (3-4 and 5-6 year olds) and adjusted for sex, parental education and household income.RESULTS: Among 5-6 year olds, each additional hour spent outdoors was associated with an additional 10 minutes of moderate-to-vigorous PA (95% CI: 6-14), 27,455 more accelerometer counts/day (95% CI: 11,929-42,980) and an increased likelihood of meeting the PA guidelines (OR = 2.53; 95% CI: 1.68-3.82). No significant relationships were observed among 3-4 year olds. CONCLUSION:Outdoor time has a large effect on PA among 5-6 year olds at a population level. Future studies should examine the correlates of outdoor time to inform novel PA promotion interventions.KEY WORDS: Motor activity; child; television; surveys and questionnaires La traduction du résumé se trouve à la fin de l'article.

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Pooled Analysis of Physical Activity, Sedentary Behavior, and Sleep Among Children From 33 Countries

Chong,

Suesse,

Cross

et al. 2024

JAMA Pediatr

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ImportanceThe prevalence estimates of physical activity, sedentary behavior, and sleep (collectively known as movement behaviors) in 3- and 4-year-old children worldwide remains uncertain.ObjectiveTo report the proportion of 3- and 4-year-old children who met the World Health Organization guidelines for physical activity, sedentary behavior, and sleep across 33 countries.Design, Setting, and ParticipantsPooled analysis of data from 14 cross-sectional studies (July 2008 to September 2022) identified through systematic reviews and personal networks. Thirty-three countries of varying income levels across 6 geographical regions. Each study site needed to have at least 40 children aged 3.0 to 4.9 years with valid accelerometry and parent-/caregiver-reported screen time and sleep duration data. Data were analyzed from October 2022 to February 2023.ExposuresTime spent in physical activity was assessed by reanalyzing accelerometry data using a harmonized data-processing protocol. Screen time and sleep duration were proxy reported by parents or caregivers.Main Outcomes and MeasuresThe proportion of children who met the World Health Organization guidelines for physical activity (≥180 min/d of total physical activity and ≥60 min/d of moderate- to vigorous-intensity physical activity), screen time (≤1 h/d), and sleep duration (10-13 h/d) was estimated across countries and by World Bank income group and geographical region using meta-analysis.ResultsOf the 7017 children (mean [SD] age, 4.1 [0.5] years; 3585 [51.1%] boys and 3432 [48.9%] girls) in this pooled analysis, 14.3% (95% CI, 9.7-20.7) met the overall guidelines for physical activity, screen time, and sleep duration. There was no clear pattern according to income group: the proportion meeting the guidelines was 16.6% (95% CI, 10.4-25.3) in low- and lower-middle–income countries, 11.9% (95% CI, 5.9-22.5) in upper-middle–income countries, and 14.4% (95% CI, 9.6-21.1) in high-income countries. The region with the highest proportion meeting the guidelines was Africa (23.9%; 95% CI, 11.6-43.0), while the lowest proportion was in North and South America (7.7%; 95% CI, 3.6-15.8).Conclusions and RelevanceMost 3- and 4-year-old children in this pooled analysis did not meet the current World Health Organization guidelines for physical activity, sedentary behavior, and sleep. Priority must be given to understanding factors that influence these behaviors in this age group and to implementing contextually appropriate programs and policies proven to be effective in promoting healthy levels of movement behaviors.

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Validation of Uniaxial and Triaxial Accelerometers for the Assessment of Physical Activity in Preschool Children

Abstract: Uniaxial and triaxial accelerometers are acceptable devices with similar classification accuracy for sedentary, light, and moderate-to-vigorous levels of PA in preschoolers.

Cited by 91 publications

References 24 publications

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

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

Outdoor time, physical activity and sedentary time among young children: The 2012–2013 Canadian Health Measures Survey

Pooled Analysis of Physical Activity, Sedentary Behavior, and Sleep Among Children From 33 Countries

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