88
Views
51
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLE

The prevalence of leisure time sedentary behaviour and physical activity in adolescent girls: An ecological momentary assessment approach

, , &
Pages 227-234 | Received 22 Sep 2006, Published online: 12 Jul 2009
 

Abstract

Study objective. To use ecological momentary assessment to describe how adolescent girls in the United Kingdom spend their leisure time. Design. Cross-sectional, stratified, random sample from secondary schools in 15 regions within the United Kingdom. The data are from a larger study of adolescent lifestyles (Project STIL). Participants. A total of 923 girls with a mean age of 14.7 years (range 12.5–17.6 years). The majority were white-European (88.7%). Main results. Across all behaviours, television viewing occupied the most leisure time on both weekdays and weekend days. The five most time consuming sedentary weekday activities occupied on average 262.9 minutes per weekday and 400 minutes per weekend day. In contrast, only 44.2 minutes was occupied by active transport or sports and exercise per weekday, and 53 minutes per weekend day. Only a minority watched more than 4 hours of TV per day (3.3% on weekdays and 20.7% on weekend days). Computer use is low in this group. Some differences were noted in the means and prevalences between weekend and weekdays, most likely reflecting the greater discretionary time available at the weekend. Few age differences were noted. Conclusions. Adolescent girls engage in a variety of behaviours that contribute to an overall lifestyle that may be active or sedentary. Effective physical activity promotion strategies must focus on facilitating shifts towards healthy overall patterns of behaviour rather than shifts in any one single behaviour.

Acknowledgements

We acknowledge the financial support of The British Heart Foundation (Grant PG/2000124) and Masterfoods, Inc.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.