Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants
<p><strong>Background:</strong> Movement behaviours, including physical activity, sedentary behaviour, and sleep have been shown to be associated with several chronic diseases. However, they have not been objectively measured in large-scale prospective cohort studies in low-and mid...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2023
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| _version_ | 1826313600259588096 |
|---|---|
| author | Chen, Y Chan, S Bennett, D Chen, X Wu, X Ke, Y Lv, J Sun, D Pan, L Pei, P Yang, L Chen, Y Chen, J Chen, Z Li, L Du, H Yu, C Doherty, A |
| author2 | China Kadoorie Biobank Collaborative Group |
| author_facet | China Kadoorie Biobank Collaborative Group Chen, Y Chan, S Bennett, D Chen, X Wu, X Ke, Y Lv, J Sun, D Pan, L Pei, P Yang, L Chen, Y Chen, J Chen, Z Li, L Du, H Yu, C Doherty, A |
| author_sort | Chen, Y |
| collection | OXFORD |
| description | <p><strong>Background:</strong> Movement behaviours, including physical activity, sedentary behaviour, and sleep have been shown to be associated with several chronic diseases. However, they have not been objectively measured in large-scale prospective cohort studies in low-and middle-income countries. We aim to describe the patterns of device-measured movement behaviours collected in the China Kadoorie Biobank (CKB) study.</p>
<p><strong>Methods:</strong> During 2020 and 2021, a random subset of 25,087 surviving CKB individuals participated in the 3rd resurvey of the CKB. Among them, 22,511 (89.7%) agreed to wear an Axivity AX3 wrist-worn triaxial accelerometer for seven consecutive days to assess their habitual movement behaviours. We developed a machine-learning model to infer time spent in four movement behaviours [i.e. sleep, sedentary behaviour, light intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA)]. Descriptive analyses were performed for wear-time compliance and patterns of movement behaviours by different participant characteristics.</p>
<p><strong>Results:</strong> Data from 21,897 participants (aged 65.4 ± 9.1 years; 35.4% men) were received for demographic and wear-time analysis, with a median wear-time of 6.9 days (IQR: 6.1–7.0). Among them, 20,370 eligible participants were included in movement behavior analyses. On average, they had 31.1 mg/day (total acceleration) overall activity level, accumulated 7.7 h/day (32.3%) of sleep time, 8.8 h/day (36.6%) sedentary, 5.7 h/day (23.9%) in light physical activity, and 104.4 min/day (7.2%) in moderate-to-vigorous physical activity. There was an inverse relationship between age and overall acceleration with an observed decline of 5.4 mg/day (17.4%) per additional decade. Women showed a higher activity level than men (32.3 vs 28.8 mg/day) and there was a marked geographical disparity in the overall activity level and time allocation.</p>
<p><strong>Conclusions:</strong> This is the first large-scale accelerometer data collected among Chinese adults, which provides rich and comprehensive information about device-measured movement behaviour patterns. This resource will enhance our knowledge about the potential relevance of different movement behaviours for chronic disease in Chinese adults.</p> |
| first_indexed | 2024-03-07T08:14:19Z |
| format | Journal article |
| id | oxford-uuid:9ad16403-8773-485e-a978-e3caad675510 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:15:47Z |
| publishDate | 2023 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | oxford-uuid:9ad16403-8773-485e-a978-e3caad6755102024-07-20T14:26:32ZDevice-measured movement behaviours in over 20,000 China Kadoorie Biobank participantsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9ad16403-8773-485e-a978-e3caad675510EnglishSymplectic ElementsBioMed Central2023Chen, YChan, SBennett, DChen, XWu, XKe, YLv, JSun, DPan, LPei, PYang, LChen, YChen, JChen, ZLi, LDu, HYu, CDoherty, AChina Kadoorie Biobank Collaborative Group<p><strong>Background:</strong> Movement behaviours, including physical activity, sedentary behaviour, and sleep have been shown to be associated with several chronic diseases. However, they have not been objectively measured in large-scale prospective cohort studies in low-and middle-income countries. We aim to describe the patterns of device-measured movement behaviours collected in the China Kadoorie Biobank (CKB) study.</p> <p><strong>Methods:</strong> During 2020 and 2021, a random subset of 25,087 surviving CKB individuals participated in the 3rd resurvey of the CKB. Among them, 22,511 (89.7%) agreed to wear an Axivity AX3 wrist-worn triaxial accelerometer for seven consecutive days to assess their habitual movement behaviours. We developed a machine-learning model to infer time spent in four movement behaviours [i.e. sleep, sedentary behaviour, light intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA)]. Descriptive analyses were performed for wear-time compliance and patterns of movement behaviours by different participant characteristics.</p> <p><strong>Results:</strong> Data from 21,897 participants (aged 65.4 ± 9.1 years; 35.4% men) were received for demographic and wear-time analysis, with a median wear-time of 6.9 days (IQR: 6.1–7.0). Among them, 20,370 eligible participants were included in movement behavior analyses. On average, they had 31.1 mg/day (total acceleration) overall activity level, accumulated 7.7 h/day (32.3%) of sleep time, 8.8 h/day (36.6%) sedentary, 5.7 h/day (23.9%) in light physical activity, and 104.4 min/day (7.2%) in moderate-to-vigorous physical activity. There was an inverse relationship between age and overall acceleration with an observed decline of 5.4 mg/day (17.4%) per additional decade. Women showed a higher activity level than men (32.3 vs 28.8 mg/day) and there was a marked geographical disparity in the overall activity level and time allocation.</p> <p><strong>Conclusions:</strong> This is the first large-scale accelerometer data collected among Chinese adults, which provides rich and comprehensive information about device-measured movement behaviour patterns. This resource will enhance our knowledge about the potential relevance of different movement behaviours for chronic disease in Chinese adults.</p> |
| spellingShingle | Chen, Y Chan, S Bennett, D Chen, X Wu, X Ke, Y Lv, J Sun, D Pan, L Pei, P Yang, L Chen, Y Chen, J Chen, Z Li, L Du, H Yu, C Doherty, A Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants |
| title | Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants |
| title_full | Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants |
| title_fullStr | Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants |
| title_full_unstemmed | Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants |
| title_short | Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants |
| title_sort | device measured movement behaviours in over 20 000 china kadoorie biobank participants |
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