Comparing 24 h physical activity profiles: Office workers, women with a history of gestational diabetes and people with chronic disease condition(s). Issue 2 (17th January 2021)
- Record Type:
- Journal Article
- Title:
- Comparing 24 h physical activity profiles: Office workers, women with a history of gestational diabetes and people with chronic disease condition(s). Issue 2 (17th January 2021)
- Main Title:
- Comparing 24 h physical activity profiles: Office workers, women with a history of gestational diabetes and people with chronic disease condition(s)
- Authors:
- Dawkins, Nathan P.
Yates, Tom
Edwardson, Charlotte L.
Maylor, Ben
Davies, Melanie J.
Dunstan, David
Highton, Patrick J.
Herring, Louisa Y.
Khunti, Kamlesh
Rowlands, Alex V. - Abstract:
- ABSTRACT: This study demonstrates a novel data-driven method of summarising accelerometer data to profile physical activity in three diverse groups, compared with cut-point determined moderate-to-vigorous physical activity (MVPA). GGIR was used to generate average daily acceleration, intensity gradient, time in MVPA and MX metrics (acceleration above which the most active X-minutes accumulate) from wrist-worn accelerometer data from three datasets: office-workers (OW, N = 697), women with a history of post-gestational diabetes (PGD, N = 267) and adults with ≥1 chronic disease (CD, N = 1, 325). Average acceleration and MVPA were lower in CD, but not PGD, relative to OW (−5.2 m g and −30.7 minutes, respectively, P < 0.001). Both PGD and CD had poorer intensity distributions than OW (P < 0.001). Application of a cut-point to the M30 showed 7%, 17% and 28%, of OW, PGD and CD, respectively, accumulated 30 minutes of brisk walking per day. Radar plots showed OW had higher overall activity than CD. The relatively poor intensity distribution of PGD, despite similar overall activity to OW, was due to accumulation of more light and less higher intensity activity. These data-driven methods identify aspects of activity that differ between groups, which may be missed by cut-point methods alone. Abbreviations : CD: Adults with ≥1 chronic disease; m g : Milli-gravitational unit; MVPA: Moderate-to-vigorous physical activity; OW: Office workers; PGD: Women with a history of post-gestationalABSTRACT: This study demonstrates a novel data-driven method of summarising accelerometer data to profile physical activity in three diverse groups, compared with cut-point determined moderate-to-vigorous physical activity (MVPA). GGIR was used to generate average daily acceleration, intensity gradient, time in MVPA and MX metrics (acceleration above which the most active X-minutes accumulate) from wrist-worn accelerometer data from three datasets: office-workers (OW, N = 697), women with a history of post-gestational diabetes (PGD, N = 267) and adults with ≥1 chronic disease (CD, N = 1, 325). Average acceleration and MVPA were lower in CD, but not PGD, relative to OW (−5.2 m g and −30.7 minutes, respectively, P < 0.001). Both PGD and CD had poorer intensity distributions than OW (P < 0.001). Application of a cut-point to the M30 showed 7%, 17% and 28%, of OW, PGD and CD, respectively, accumulated 30 minutes of brisk walking per day. Radar plots showed OW had higher overall activity than CD. The relatively poor intensity distribution of PGD, despite similar overall activity to OW, was due to accumulation of more light and less higher intensity activity. These data-driven methods identify aspects of activity that differ between groups, which may be missed by cut-point methods alone. Abbreviations : CD: Adults with ≥1 chronic disease; m g : Milli-gravitational unit; MVPA: Moderate-to-vigorous physical activity; OW: Office workers; PGD: Women with a history of post-gestational diabetes; VPA: Vigorous physical activity … (more)
- Is Part Of:
- Journal of sports sciences. Volume 39:Issue 2(2021)
- Journal:
- Journal of sports sciences
- Issue:
- Volume 39:Issue 2(2021)
- Issue Display:
- Volume 39, Issue 2 (2021)
- Year:
- 2021
- Volume:
- 39
- Issue:
- 2
- Issue Sort Value:
- 2021-0039-0002-0000
- Page Start:
- 219
- Page End:
- 226
- Publication Date:
- 2021-01-17
- Subjects:
- Accelerometer -- acceleration -- intensity gradient -- MX metrics
Sports -- Periodicals
Sports -- Physiological aspects -- Periodicals
Sports -- Psychological aspects -- Periodicals
612.044 - Journal URLs:
- http://www.tandfonline.com/toc/rjsp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02640414.2020.1812202 ↗
- Languages:
- English
- ISSNs:
- 0264-0414
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5066.350000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22692.xml