Physical activity and sedentary behavior clustering: segmentation to optimize active lifestyles
Authors
Zwolinsky, StephenMcKenna, James
Pringle, Andy
Widdop, Paul
Griffiths, Claire
Mellis, Michelle
Rutherford, Zoe
Collins, Peter
Affiliation
Leeds Beckett UniversityIssue Date
2016-09
Metadata
Show full item recordAbstract
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. 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. 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. 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.Citation
Zwolinsky, S., McKenna, J., Pringle, A., Widdop, P., Griffiths, C., Mellis, M., Rutherford, Z. and Collins, P., (2016). 'Physical activity and sedentary behavior clustering: segmentation to optimize active lifestyles'. Journal of Physical Activity and Health, 13(9), pp. 921-928.Publisher
Human KineticsJournal
Journal of Physical Activity and HealthDOI
10.1123/jpah.2015-0307Additional Links
https://journals.humankinetics.com/view/journals/jpah/13/9/article-p921.xmlhttp://eprints.leedsbeckett.ac.uk/2415/
Type
ArticleLanguage
enISSN
1543-3080EISSN
1543-5474ae974a485f413a2113503eed53cd6c53
10.1123/jpah.2015-0307