2012
DOI: 10.5007/1980-0037.2012v14n1p101
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Limiares de acelerômetros para a estimativa da intensidade da atividade física em crianças e adolescentes: uma revisão sistemática. DOI: 10.5007/1980-0037.2012v14n1p101

Abstract: The aim of this study was to verify the criterion and cross-validity of accelerometer thresholds for distinguishing different physical activity intensities and identifying sedentary behavior in children and adolescents. A systematic literature review was conducted using the PubMed, Scopus, Sports Discus and Web of Science databases. Inclusion criteria were: a) derivation and/or validation of accelerometer thresholds related to intensity of physical activity in youth (age 2 to 18 years); b) use of indirect calo… Show more

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Cited by 5 publications
(6 citation statements)
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“…Data were selected in 60-s epoch lengths to detect spontaneous MVPA in the participants' schools. The cutoff points of Activity Energy Expenditure (AEE) were sedentary behavior (AEE < 0.01 kcal•kg −1 •min −1 ), light physical activity (0.01 ≤ AEE < 0.04 kcal kg −1 •min −1 ), and MVPA (AEE ≥ 0.04 kcal kg −1 •min −1 ) [50]. Accelerometer data were downloaded into Excel files using ActicalReader and Actcal Software 3.12 (Koninklijke Philips Electronics N.V., Amsterdam, The Netherlands).…”
Section: Physical Activity Behaviormentioning
confidence: 99%
“…Data were selected in 60-s epoch lengths to detect spontaneous MVPA in the participants' schools. The cutoff points of Activity Energy Expenditure (AEE) were sedentary behavior (AEE < 0.01 kcal•kg −1 •min −1 ), light physical activity (0.01 ≤ AEE < 0.04 kcal kg −1 •min −1 ), and MVPA (AEE ≥ 0.04 kcal kg −1 •min −1 ) [50]. Accelerometer data were downloaded into Excel files using ActicalReader and Actcal Software 3.12 (Koninklijke Philips Electronics N.V., Amsterdam, The Netherlands).…”
Section: Physical Activity Behaviormentioning
confidence: 99%
“…15 Issues related to cutoff points for classifying levels of physical activity are debated in the literature. In a systematic review, Romanzini et al 19 (2012) suggest that using 1,900 to 3,600 and 3,900 to 8,200 counts/min to identify moderate and vigorous physical activity respectively, in six to eighteen-years-olds, would enable good validity to be obtained. However, other studies, with larger samples, are necessary to represent the reality in Brazil.…”
Section: Discussionmentioning
confidence: 99%
“…However, they have limitations, such as being dependent on memory and on the interviewers capacity to use them, which can interfere in the accuracy and reliability of the data obtained. 3,7,19 Objective methods, such as accelerometry, are widely used with children. This method, however, does not allow the type of activity to be identifi ed.…”
mentioning
confidence: 99%
“…A recent systematic review concluded that accelerometers and accompanying physical activity intensity software were feasible for all-day assessment in children and can provide a good indication of the total amount of activity and temporal patterns of activity [ 8 ]. The commercially available software often uses count-based algorithms that sum the data over pre-set time periods (e.g., 15 s), and then uses thresholds to classify this data into different intensities of movement, such as sedentary, light, moderate, or vigorous-intensity activity [ 9 ]. These algorithms were established by comparing activity counts with gold standard energy expenditure measures and have been found to be sufficiently accurate [ 9 ].…”
Section: Introductionmentioning
confidence: 99%