Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7017
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dc.contributor.authorAnokye, NK-
dc.contributor.authorTrueman, P-
dc.contributor.authorGreen, C-
dc.contributor.authorPavey, TG-
dc.contributor.authorTaylor, RS-
dc.date.accessioned2012-11-12T13:07:25Z-
dc.date.available2012-11-12T13:07:25Z-
dc.date.issued2012-
dc.identifier.citationBMC Public Health, 12: 624, Aug 2012en_US
dc.identifier.issn1471-2458-
dc.identifier.urihttp://www.biomedcentral.com/1471-2458/12/624en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/7017-
dc.descriptionCopyright @ 2012 Anokye et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.descriptionThis article has been made available through the Brunel Open Access Publishing Fund.-
dc.description.abstractBACKGROUND: Research on the relationship between Health Related Quality of Life (HRQoL) and physical activity (PA), to date, have rarely investigated how this relationship differ across objective and subjective measures of PA. The aim of this paper is to explore the relationship between HRQoL and PA, and examine how this relationship differs across objective and subjective measures of PA, within the context of a large representative national survey from England. METHODS: Using a sample of 5,537 adults (40–60 years) from a representative national survey in England (Health Survey for England 2008), Tobit regressions with upper censoring was employed to model the association between HRQoL and objective, and subjective measures of PA controlling for potential confounders. We tested the robustness of this relationship across specific types of PA. HRQoL was assessed using the summary measure of health state utility value derived from the EuroQol-5 Dimensions (EQ-5D) whilst PA was assessed via subjective measure (questionnaire) and objective measure (accelerometer- actigraph model GT1M). The actigraph was worn (at the waist) for 7 days (during waking hours) by a randomly selected sub-sample of the HSE 2008 respondents (4,507 adults – 16 plus years), with a valid day constituting 10 hours. Analysis was conducted in 2010. RESULTS: Findings suggest that higher levels of PA are associated with better HRQoL (regression coefficient: 0.026 to 0.072). This relationship is consistent across different measures and types of PA although differences in the magnitude of HRQoL benefit associated with objective and subjective (regression coefficient: 0.047) measures of PA are noticeable, with the former measure being associated with a relatively better HRQoL (regression coefficient: 0.072). CONCLUSION: Higher levels of PA are associated with better HRQoL. Using an objective measure of PA compared with subjective shows a relatively better HRQoL.en_US
dc.description.sponsorshipThis project was funded by the NIHR Health Technology Assessment programme (project number 08/72/01).en_US
dc.languageeng-
dc.language.isoenen_US
dc.publisherBioMed Central Ltden_US
dc.subjectHealth related quality of lifeen_US
dc.subjectObjective measureen_US
dc.subjectSelf reportsen_US
dc.subjectPhysical activityen_US
dc.subjectEQ-5Den_US
dc.titlePhysical activity and health related quality of lifeen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1186/1471-2458-12-624-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/Health Economics Research Group-
pubs.organisational-data/Brunel/Brunel Active Staff/Health Economics Research Group/HERG-
Appears in Collections:Publications
Brunel OA Publishing Fund
Health Economics Research Group (HERG)

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