Literaturnachweis - Detailanzeige
| Autor/inn/en | Zhu, Zheng; Chen, Peijie; Zhuang, Jie |
|---|---|
| Titel | Predicting Chinese Children and Youth's Energy Expenditure Using ActiGraph Accelerometers: A Calibration and Cross-Validation Study |
| Quelle | In: Research Quarterly for Exercise and Sport, 84 (2013), (8 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0270-1367 |
| DOI | 10.1080/02701367.2013.850989 |
| Schlagwörter | Quantitative Daten; Foreign Countries; Physical Activities; Physical Activity Level; Children; Adolescents; Measurement Equipment; Athletics; Metabolism; Correlation; Multiple Regression Analysis; Comparative Analysis; Accuracy; Measures (Individuals); Prediction; Effect Size; Statistical Analysis; Elementary School Students; Secondary School Students; China |
| Abstract | Purpose: The purpose of this study was to develop and cross-validate an equation based on ActiGraph accelerometer GT3X output to predict children and youth's energy expenditure (EE) of physical activity (PA). Method: Participants were 367 Chinese children and youth (179 boys and 188 girls, aged 9 to 17 years old) who wore 1 ActiGraph GT3X accelerometer on their right hip during the following tests/activities: resting metabolic rate (RMR), six 5-min treadmill walk/runs (tested at different speeds: 3 km·h[superscript -1], 4 km·h[superscript-1], 5 km·h-[superscript- 1], 6 km·h[superscript-1], 7 km·h[superscript-1], and 8 km·h[superscript-1]),1 broadcast gymnastics, and 2 table-tennis exercises. Participants' oxygen consumption was measured using Cosmed K4b[superscript 2]. The participants were randomly divided into a calibration group ("n" = 331, 90%) and a cross-validation group ("n" = 36, 10%). The calibration group's data were used to determine the relationship between EE and triaxial vector magnitude counts (VM) using the Pearson correlation and to derive the equation using a stepwise multiple regression. In the cross-validation group, differences between measured and predicted EE were evaluated using pairwise "t" tests. Results: VM activity counts had a moderately high correlation with EE ("r" =0.758, "p" < 0.01). An EE prediction equation was developed: EE (kcal·min[superscript- 1]) = 0.00083 × VM+0.073 × weight - 2.01 ("R"[superscript 2] = 0.72, SEE = 1.45 kcal·min [superscript- 1]). According to the cross-validation study results, this equation could predict the EE within the range of known accuracy (i.e., about 20% error). Conclusions: An equation based on ActiGraph accelerometer VM activity counts was derived to predict EE of PA in Chinese children and youth within the range of known accuracy. (As Provided). |
| Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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