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The development of activity profiles in adolescent females and their association with adiposity

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dc.contributor.author Dowd, Kieran P.
dc.contributor.author Hannigan, Ailish
dc.contributor.author Purtill, Helen
dc.contributor.author Macken, Alan P
dc.contributor.author O'Gorman, Clodagh S.
dc.contributor.author Donnelly, Alan Edward
dc.contributor.author Harrington, Deirdre M.
dc.contributor.author Kelly, Sarah M
dc.contributor.author Moyna, Niall M.
dc.date.accessioned 2016-10-05T13:43:26Z
dc.date.available 2016-10-05T13:43:26Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/10344/5268
dc.description peer-reviewed en_US
dc.description.abstract Objectives: This study aims to (1) use the objective activPAL activity monitor to assess physical activity behaviors, including sitting/lying, standing, and both light (LIPA) and moderate-to-vigorous physical activity (MVPA); (2) to develop distinct activity profiles based on time spent in each behavior in a sample of adolescent females; and (3) examine whether levels of adiposity differ across these activity profiles. Methods: Female adolescents (n = 195; 14-18 y) had body mass index (median = 21.7 [IQR = 5.2] kg/m(2)) and 4-site skinfold thickness (median 62.0 mm; IQR = 37.1) measured. Physical activity behaviors were measured using the activPAL. Hierarchical cluster analysis grouped participants into activity profiles based on similar physical activity characteristics. Linear mixed models explored differences in body composition across activity profiles. Results: Three activity profiles were identified, a low (n = 35), moderate (n = 110), and a high activity profile (n = 50). Significant differences across activity profiles were observed for skinfold thickness (p = .046), with higher values observed in the low activity profile compared with the high activity profile. Conclusions: Profiling free-living activity using behaviors from across the activity intensity continuum may account for more of the variability in energy expenditure then examining specific activity intensities, such as MVPA alone. The use of activity profiles may enable the identification of individuals with unhealthy activity behaviors, leading to the development and implementation of more targeted interventions. en_US
dc.language.iso eng en_US
dc.publisher Human Kinetics en_US
dc.relation.ispartofseries Pediatric Exercise Science;28 (1), pp. 109-116
dc.relation.uri http://dx.doi.org/10.1123/pes.2015-0081
dc.rights As accepted for publication. The final published version is available at http://dx.doi.org/10.1123/pes.2015-0081 en_US
dc.subject sitting behavior en_US
dc.subject physical activity en_US
dc.subject activPAL en_US
dc.subject cluster analysis en_US
dc.subject activity profile en_US
dc.subject adolescents en_US
dc.subject obesity en_US
dc.title The development of activity profiles in adolescent females and their association with adiposity en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2016-10-05T13:30:03Z
dc.description.version ACCEPTED
dc.identifier.doi 10.1123/pes.2015-0081
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1632309
dc.internal.copyrightchecked Yes
dc.description.status peer-reviewed


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