The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity.
We examined the influence of using different epoch lengths on the classification accuracy of laboratory-controlled sedentary behaviour (SB), and free-living total time and time spent in bouts of SB and moderate-to-vigorous physical activity (MVPA), in children and adolescents. We used two studies in...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0254721 |
| _version_ | 1818399018151051264 |
|---|---|
| author | Teatske M Altenburg Xinhui Wang Evi van Ekris Lars Bo Andersen Niels Christian Møller Niels Wedderkopp Mai J M Chinapaw |
| author_facet | Teatske M Altenburg Xinhui Wang Evi van Ekris Lars Bo Andersen Niels Christian Møller Niels Wedderkopp Mai J M Chinapaw |
| author_sort | Teatske M Altenburg |
| collection | DOAJ |
| description | We examined the influence of using different epoch lengths on the classification accuracy of laboratory-controlled sedentary behaviour (SB), and free-living total time and time spent in bouts of SB and moderate-to-vigorous physical activity (MVPA), in children and adolescents. We used two studies including accelerometer-derived data of: 1) controlled activities, i.e. seven sedentary, one standing and one dancing (n = 90); 2) free-living activities (n = 902). For the controlled-activity data, we calculated percentages of time classified as SB and MVPA. For the free-living data, we calculated medians (25th-75th percentiles) of total time and time spent in bouts of SB and MVPA. Applying 8counts/5seconds, 25counts/15seconds and 100counts/60seconds for SB on controlled-activity data revealed respectively (1) 92-96%, 89-99% and 98-100% of sedentary time accurately classified as SB (activity- and age-dependent); (2) 91-98%, 88-99% and 97-100% of standing time classified as SB (age-dependent); (3) 25-37%, 20-25% and 25-38% of dancing time classified as SB (age-dependent). Using longer epochs, children's total time in SB and MVPA decreased while time accumulated in bouts of SB and MVPA accumulated in bouts increased. We conclude that a 60-second epoch seems preferable when the aim is to classify sedentary behaviour, while a shorter epoch length is needed to capture children's short bursts of MPVA. Furthermore, we should be aware that a longer epoch results in averaging of intensities to the middle category. |
| first_indexed | 2024-12-14T07:14:00Z |
| format | Article |
| id | doaj.art-fd3da2862a584b3f8ebdab92198779aa |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-14T07:14:00Z |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-fd3da2862a584b3f8ebdab92198779aa2022-12-21T23:11:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01167e025472110.1371/journal.pone.0254721The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity.Teatske M AltenburgXinhui WangEvi van EkrisLars Bo AndersenNiels Christian MøllerNiels WedderkoppMai J M ChinapawWe examined the influence of using different epoch lengths on the classification accuracy of laboratory-controlled sedentary behaviour (SB), and free-living total time and time spent in bouts of SB and moderate-to-vigorous physical activity (MVPA), in children and adolescents. We used two studies including accelerometer-derived data of: 1) controlled activities, i.e. seven sedentary, one standing and one dancing (n = 90); 2) free-living activities (n = 902). For the controlled-activity data, we calculated percentages of time classified as SB and MVPA. For the free-living data, we calculated medians (25th-75th percentiles) of total time and time spent in bouts of SB and MVPA. Applying 8counts/5seconds, 25counts/15seconds and 100counts/60seconds for SB on controlled-activity data revealed respectively (1) 92-96%, 89-99% and 98-100% of sedentary time accurately classified as SB (activity- and age-dependent); (2) 91-98%, 88-99% and 97-100% of standing time classified as SB (age-dependent); (3) 25-37%, 20-25% and 25-38% of dancing time classified as SB (age-dependent). Using longer epochs, children's total time in SB and MVPA decreased while time accumulated in bouts of SB and MVPA accumulated in bouts increased. We conclude that a 60-second epoch seems preferable when the aim is to classify sedentary behaviour, while a shorter epoch length is needed to capture children's short bursts of MPVA. Furthermore, we should be aware that a longer epoch results in averaging of intensities to the middle category.https://doi.org/10.1371/journal.pone.0254721 |
| spellingShingle | Teatske M Altenburg Xinhui Wang Evi van Ekris Lars Bo Andersen Niels Christian Møller Niels Wedderkopp Mai J M Chinapaw The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. PLoS ONE |
| title | The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. |
| title_full | The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. |
| title_fullStr | The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. |
| title_full_unstemmed | The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. |
| title_short | The consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity. |
| title_sort | consequences of using different epoch lengths on the classification of accelerometer based sedentary behaviour and physical activity |
| url | https://doi.org/10.1371/journal.pone.0254721 |
| work_keys_str_mv | AT teatskemaltenburg theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT xinhuiwang theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT evivanekris theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT larsboandersen theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT nielschristianmøller theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT nielswedderkopp theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT maijmchinapaw theconsequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT teatskemaltenburg consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT xinhuiwang consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT evivanekris consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT larsboandersen consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT nielschristianmøller consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT nielswedderkopp consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity AT maijmchinapaw consequencesofusingdifferentepochlengthsontheclassificationofaccelerometerbasedsedentarybehaviourandphysicalactivity |