Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data
Background: Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA t...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
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Human Kinetics, Inc
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/17556 |
| _version_ | 1848749497197264896 |
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| author | Straker, Leon Campbell, Amity Mathiassen, S. Abbott, R. Parry, Sharon Davey, Paul |
| author_facet | Straker, Leon Campbell, Amity Mathiassen, S. Abbott, R. Parry, Sharon Davey, Paul |
| author_sort | Straker, Leon |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Background: Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs. Methods: EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8). Results: Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity. Conclusions: EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research. |
| first_indexed | 2025-11-14T07:21:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-17556 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:21:52Z |
| publishDate | 2014 |
| publisher | Human Kinetics, Inc |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-175562017-09-13T15:44:34Z Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data Straker, Leon Campbell, Amity Mathiassen, S. Abbott, R. Parry, Sharon Davey, Paul physical activity assessment Accelerometry public health Background: Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs. Methods: EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8). Results: Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity. Conclusions: EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research. 2014 Journal Article http://hdl.handle.net/20.500.11937/17556 10.1123/jpah.2012-0105 Human Kinetics, Inc fulltext |
| spellingShingle | physical activity assessment Accelerometry public health Straker, Leon Campbell, Amity Mathiassen, S. Abbott, R. Parry, Sharon Davey, Paul Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| title | Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| title_full | Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| title_fullStr | Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| title_full_unstemmed | Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| title_short | Capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| title_sort | capturing the pattern of physical activity and sedentary behavior: exposure variation analysis of accelerometer data |
| topic | physical activity assessment Accelerometry public health |
| url | http://hdl.handle.net/20.500.11937/17556 |