Prediction of Energy Expenditure from Wrist Accelerometry in People with and without Down Syndrome
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| Title: | Prediction of Energy Expenditure from Wrist Accelerometry in People with and without Down Syndrome |
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| Language: | English |
| Authors: | Agiovlasitis, Stamatis, Motl, Robert W., Foley, John T. |
| Source: | Adapted Physical Activity Quarterly. Apr 2012 29(2):179-190. |
| Availability: | Human Kinetics, Inc. 1607 North Market Street, Champaign, IL 61820. Tel: 800-474-4457; Fax: 217-351-1549; e-mail: info@hkusa.com; Web site: http://www.humankinetics.com |
| Peer Reviewed: | Y |
| Physical Description: | |
| Page Count: | 12 |
| Publication Date: | 2012 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Adult Education |
| Descriptors: | Expenditures, Physical Activities, Down Syndrome, Prediction, Recreational Activities, Adapted Physical Education, Physical Mobility, Measurement Equipment, Measurement Techniques, Measures (Individuals), Predictive Measurement, Control Groups, Experimental Groups, Energy Management |
| ISSN: | 0736-5829 |
| Abstract: | This study examined the relationship between energy expenditure and wrist accelerometer output during walking in persons with and without Down syndrome (DS). Energy expenditure in metabolic equivalent units (METs) and activity-count rate were respectively measured with portable spirometry and a uniaxial wrist accelerometer in 17 persons with DS (age: 24.7 [plus or minus] 6.9 years; 9 women) and 21 persons without DS (age: 26.3 [plus or minus] 5.2 years; 12 women) during six over-ground walking trials. Combined groups regression showed that the relationship between METs and activity-count rate differed between groups (p less than 0.001). Separate models for each group included activity-count rate and squared activity-count rate as significant predictors of METs (p [less than or equal to] 0.005). Prediction of METs appeared accurate based on Bland-Altman plots and the lack of between-group difference in mean absolute prediction error (DS: 17.07%; Non-DS: 18.74%).Although persons with DS show altered METs to activity-count rate relationship during walking, prediction of their energy expenditure from wrist accelerometry appears feasible. (Contains 3 tables and 2 figures.) |
| Abstractor: | As Provided |
| Number of References: | 34 |
| Entry Date: | 2012 |
| Access URL: | https://journals.humankinetics.com/apaq-back-issues/apaq-volume-29-issue-2-april/prediction-of-energy-expenditure-from-wrist-accelerometry-in-people-with-and-without-down-syndrome |
| Accession Number: | EJ971027 |
| Database: | ERIC |
| Abstract: | This study examined the relationship between energy expenditure and wrist accelerometer output during walking in persons with and without Down syndrome (DS). Energy expenditure in metabolic equivalent units (METs) and activity-count rate were respectively measured with portable spirometry and a uniaxial wrist accelerometer in 17 persons with DS (age: 24.7 [plus or minus] 6.9 years; 9 women) and 21 persons without DS (age: 26.3 [plus or minus] 5.2 years; 12 women) during six over-ground walking trials. Combined groups regression showed that the relationship between METs and activity-count rate differed between groups (p less than 0.001). Separate models for each group included activity-count rate and squared activity-count rate as significant predictors of METs (p [less than or equal to] 0.005). Prediction of METs appeared accurate based on Bland-Altman plots and the lack of between-group difference in mean absolute prediction error (DS: 17.07%; Non-DS: 18.74%).Although persons with DS show altered METs to activity-count rate relationship during walking, prediction of their energy expenditure from wrist accelerometry appears feasible. (Contains 3 tables and 2 figures.) |
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| ISSN: | 0736-5829 |
