Rights statement: This article will be published in a forthcoming issue of the Journal of Physical Activity & Health. This article appears here in its accepted, peer-reviewed form, as it was provided by the submitting author. It has not been copy edited, proofed, or formatted by the publisher. © 2016 Human Kinetics, Inc.
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Physical Activity and Sedentary Behavior Clustering
T2 - Segmentation to Optimize Active Lifestyles
AU - Zwolinsky, Stephen
AU - McKenna, James
AU - Pringle, Andy
AU - Widdop, Paul
AU - Griffiths, Claire
AU - Mellis, Michelle
AU - Rutherford, Zoe
AU - Collins, Peter
N1 - This article will be published in a forthcoming issue of the Journal of Physical Activity & Health. This article appears here in its accepted, peer-reviewed form, as it was provided by the submitting author. It has not been copy edited, proofed, or formatted by the publisher. © 2016 Human Kinetics, Inc.
PY - 2016/9
Y1 - 2016/9
N2 - Background:Increasingly the health impacts of physical inactivity are being distinguished from those of sedentary behavior. Nevertheless, deleterious health prognoses occur when these behaviors combine, making it a Public Health priority to establish the numbers and salient identifying factors of people who live with this injurious combination.Methods:Using an observational between-subjects design, a nonprobability sample of 22,836 participants provided data on total daily activity. A 2-step hierarchical cluster analysis identified the optimal number of clusters and the subset of distinguishing variables. Univariate analyses assessed significant cluster differences.Results:High levels of sitting clustered with low physical activity. The Ambulatory & Active cluster (n = 6254) sat for 2.5 to 5 h·d−1 and were highly active. They were significantly younger, included a greater proportion of males and reported low Indices of Multiple Deprivation compared with other clusters. Conversely, the Sedentary & Low Active cluster (n = 6286) achieved ≤60 MET·min·wk−1 of physical activity and sat for ≥8 h·d−1. They were the oldest cluster, housed the largest proportion of females and reported moderate Indices of Multiple Deprivation.Conclusions:Public Health systems may benefit from developing policy and interventions that do more to limit sedentary behavior and encourage light intensity activity in its place.
AB - Background:Increasingly the health impacts of physical inactivity are being distinguished from those of sedentary behavior. Nevertheless, deleterious health prognoses occur when these behaviors combine, making it a Public Health priority to establish the numbers and salient identifying factors of people who live with this injurious combination.Methods:Using an observational between-subjects design, a nonprobability sample of 22,836 participants provided data on total daily activity. A 2-step hierarchical cluster analysis identified the optimal number of clusters and the subset of distinguishing variables. Univariate analyses assessed significant cluster differences.Results:High levels of sitting clustered with low physical activity. The Ambulatory & Active cluster (n = 6254) sat for 2.5 to 5 h·d−1 and were highly active. They were significantly younger, included a greater proportion of males and reported low Indices of Multiple Deprivation compared with other clusters. Conversely, the Sedentary & Low Active cluster (n = 6286) achieved ≤60 MET·min·wk−1 of physical activity and sat for ≥8 h·d−1. They were the oldest cluster, housed the largest proportion of females and reported moderate Indices of Multiple Deprivation.Conclusions:Public Health systems may benefit from developing policy and interventions that do more to limit sedentary behavior and encourage light intensity activity in its place.
KW - Adolescent
KW - Adult
KW - Aged
KW - Cluster Analysis
KW - England
KW - Exercise
KW - Female
KW - Health Policy
KW - Health Promotion
KW - Humans
KW - Life Style
KW - Male
KW - Middle Aged
KW - Models, Statistical
KW - Multivariate Analysis
KW - Posture
KW - Probability
KW - Prognosis
KW - Research Design
KW - Sedentary Lifestyle
KW - Social Class
KW - Young Adult
KW - Journal Article
KW - Observational Study
U2 - 10.1123/jpah.2015-0307
DO - 10.1123/jpah.2015-0307
M3 - Journal article
C2 - 27171277
VL - 13
SP - 921
EP - 928
JO - Journal of Physical Activity and Health
JF - Journal of Physical Activity and Health
SN - 1543-3080
IS - 9
ER -