ArticleInternational journal of behavioral medicine2018
Accelerometer-Derived Activity Phenotypes in Young Adults: a Latent Class Analysis.
Article in International journal of behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- How physical activity enhances academic engagement in middle school: a serial mediation model of interpersonal relationships and academic support.Frontiers in psychology · 2025Article
- A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior.PloS one · 2024Article
- Physical Activity, Sedentary and Sleep Phenotypes in Women During the First Trimester of Pregnancy.Maternal and child health journal · 2023Article
- Physical activity phenotypes and mortality in older adults: a novel distributional data analysis of accelerometry in the NHANES.Aging clinical and experimental research · 2022Article
- Associations between meeting sleep, physical activity or screen time behaviour guidelines and academic performance in Australian school children.BMC public health · 2020Article
- Accelerometry-assessed physical activity and sedentary behavior patterns using single- and multi-component latent class analysis among postmenopausal women.Women's health (London, England)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeTo identify "activity phenotypes" from accelerometer-derived activity characteristics among young adults.
methodsParticipants 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.
resultsFive 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).
conclusionsFive 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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