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  • Zwolinsky et al 2016

    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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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Physical Activity and Sedentary Behavior Clustering: Segmentation to Optimize Active Lifestyles

Research output: Contribution to journalJournal article

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  • Stephen Zwolinsky
  • James McKenna
  • Andy Pringle
  • Paul Widdop
  • Claire Griffiths
  • Michelle Mellis
  • Zoe Rutherford
  • Peter Collins
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<mark>Journal publication date</mark>09/2016
<mark>Journal</mark>Journal of Physical Activity and Health
Issue number9
Volume13
Number of pages8
Pages (from-to)921-928
Publication statusPublished
Original languageEnglish

Abstract

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.

Bibliographic note

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.