Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.

Purpose: To identify “activity phenotypes” from accelerometer-derived activity characteristics among young adults. Methods: Participants were young adults (n = 628, mean age, 22.1, SD 0.6) in the Raine Study in Western Australia. Sex-specific latent class analyses identified sub-groups using eight i...

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Main Authors: Howie, Erin, Smith, Anne, McVeigh, Joanne, Straker, Leon
Format: Journal Article
Published: Springer New York LLC 2018
Online Access:http://hdl.handle.net/20.500.11937/70208
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author Howie, Erin
Smith, Anne
McVeigh, Joanne
Straker, Leon
author_facet Howie, Erin
Smith, Anne
McVeigh, Joanne
Straker, Leon
author_sort Howie, Erin
building Curtin Institutional Repository
collection Online Access
description Purpose: To identify “activity phenotypes” from accelerometer-derived activity characteristics among young adults. Methods: Participants were young adults (n = 628, mean age, 22.1, SD 0.6) in the Raine Study in Western Australia. Sex-specific latent class analyses identified sub-groups using eight indicators derived from 7-day hip-worn Actigraph GT3X+ accelerometers: daily steps, total daily moderate-to-vigorous physical activity (MVPA), MVPA variation, MVPA intensity, MVPA bout duration, sedentary-to-light ratio, sedentary-to-light ratio variation, and sedentary bout duration. Results: Five activity phenotypes were identified for women (n = 324) and men (n = 304). Activity phenotype 1 for both women (35%) and men (30%) represented average activity characteristics. Phenotype 2 for women (17%) and men (16%) was characterized by below average total activity and MVPA (10.6 and 16.7 min of MVPA/day, women and men respectively). Phenotype 3 for women (15%) and men (23%) was characterized by below average total physical activity, average MVPA (32.6 and 36.5 min/day), high sedentary-light ratio and long sedentary bouts. Phenotype 4 differed between women (29%) and men (18%) but both had low sedentary-to-light ratios and shorter sedentary bouts. Finally, phenotype 5 in both women (4%) and men (12%) was characterized by extreme MVPA metrics (81.3 and 96.1 min/day). Conclusions: Five activity phenotypes were identified for each gender in this population of young adults which can help design targeted interventions to enhance or modulate activity phenotypes.
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spelling curtin-20.500.11937-702082019-01-31T08:21:38Z Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis. Howie, Erin Smith, Anne McVeigh, Joanne Straker, Leon Purpose: To identify “activity phenotypes” from accelerometer-derived activity characteristics among young adults. Methods: Participants were young adults (n = 628, mean age, 22.1, SD 0.6) in the Raine Study in Western Australia. Sex-specific latent class analyses identified sub-groups using eight indicators derived from 7-day hip-worn Actigraph GT3X+ accelerometers: daily steps, total daily moderate-to-vigorous physical activity (MVPA), MVPA variation, MVPA intensity, MVPA bout duration, sedentary-to-light ratio, sedentary-to-light ratio variation, and sedentary bout duration. Results: Five activity phenotypes were identified for women (n = 324) and men (n = 304). Activity phenotype 1 for both women (35%) and men (30%) represented average activity characteristics. Phenotype 2 for women (17%) and men (16%) was characterized by below average total activity and MVPA (10.6 and 16.7 min of MVPA/day, women and men respectively). Phenotype 3 for women (15%) and men (23%) was characterized by below average total physical activity, average MVPA (32.6 and 36.5 min/day), high sedentary-light ratio and long sedentary bouts. Phenotype 4 differed between women (29%) and men (18%) but both had low sedentary-to-light ratios and shorter sedentary bouts. Finally, phenotype 5 in both women (4%) and men (12%) was characterized by extreme MVPA metrics (81.3 and 96.1 min/day). Conclusions: Five activity phenotypes were identified for each gender in this population of young adults which can help design targeted interventions to enhance or modulate activity phenotypes. 2018 Journal Article http://hdl.handle.net/20.500.11937/70208 10.1007/s12529-018-9721-4 Springer New York LLC restricted
spellingShingle Howie, Erin
Smith, Anne
McVeigh, Joanne
Straker, Leon
Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
title Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
title_full Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
title_fullStr Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
title_full_unstemmed Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
title_short Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
title_sort accelerometer-derived activity phenotypes in young adults: a latent class analysis.
url http://hdl.handle.net/20.500.11937/70208