Abstract
Purpose
Recent research suggests that patterns or clusters of time use may affect health in
ways that cannot be explained by the effect of individual behaviors alone. The aim
of this research was to systematically review the literature examining adolescent
time use clusters and associated correlates.
Methods
Systematic searches of six online databases for relevant observational studies were
conducted. At least two authors reviewed abstract and full text selection meeting
eligibility criteria. Included studies were quality scored, had data extracted, and
cluster types and cluster associations interpreted.
Results
Nineteen studies were identified for inclusion, and 18 of them investigated cluster–correlate
associations. Twenty-nine cluster types were identified, characterized by both individual
(e.g., church) and co-occurring behaviors (e.g., physical activity and screen [technoactive]).
Nineteen correlate categories were identified (e.g., socioeconomic and weight status).
Consistent patterns of cluster–correlate association were found. For example, the
technoactive cluster type is more likely to be male and to have low school orientation.
Conclusions
Despite the between-study differences, consistent cluster and cluster–correlate patterns
were still evident. Cluster analysis of adolescent time use behaviors appears to be
an emerging and useful classification technique, one which may have implications for
targeted health-related interventions.
Keywords
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Article info
Publication history
Published online: August 15, 2012
Accepted:
June 22,
2012
Received:
December 6,
2011
Identification
Copyright
© 2013 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
