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dc.contributor.authorEspaña-Romero, Vanesa
dc.contributor.authorGolubic, Rajna
dc.contributor.authorMartin, Kathryn R.
dc.contributor.authorHardy, Rebecca
dc.contributor.authorEkelund, Ulf
dc.contributor.authorKuh, Diana
dc.contributor.authorWareham, Nicholas J.
dc.contributor.authorCooper, Rachel
dc.contributor.authorBrage, Søren
dc.date.accessioned2015-06-01T12:26:07Z
dc.date.available2015-06-01T12:26:07Z
dc.date.issued2014-02-06
dc.identifier.citationPLoS ONE. 2014, 9, e87085nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/284359
dc.description© 2014 España-Romero et al.nb_NO
dc.description.abstractObjectives: To compare physical activity (PA) subcomponents from EPIC Physical Activity Questionnaire (EPAQ2) and combined heart rate and movement sensing in older adults. Methods: Participants aged 60–64y from the MRC National Survey of Health and Development in Great Britain completed EPAQ2, which assesses self-report PA in 4 domains (leisure time, occupation, transportation and domestic life) during the past year and wore a combined sensor for 5 consecutive days. Estimates of PA energy expenditure (PAEE), sedentary behaviour, light (LPA) and moderate-to-vigorous PA (MVPA) were obtained from EPAQ2 and combined sensing and compared. Complete data were available in 1689 participants (52% women). Results: EPAQ2 estimates of PAEE and MVPA were higher than objective estimates and sedentary time and LPA estimates were lower [bias (95% limits of agreement) in men and women were 32.3 (−61.5 to 122.6) and 29.0 (−39.2 to 94.6) kJ/kg/day for PAEE; −4.6 (−10.6 to 1.3) and −6.0 (−10.9 to −1.0) h/day for sedentary time; −171.8 (−454.5 to 110.8) and −60.4 (−367.5 to 246.6) min/day for LPA; 91.1 (−159.5 to 341.8) and 55.4 (−117.2 to 228.0) min/day for MVPA]. There were significant positive correlations between all self-reported and objectively assessed PA subcomponents (rho = 0.12 to 0.36); the strongest were observed for MVPA (rho = 0.30 men; rho = 0.36 women) and PAEE (rho = 0.26 men; rho = 0.25 women). Conclusion: EPAQ2 produces higher estimates of PAEE and MVPA and lower estimates of sedentary and LPA than objective assessment. However, both methodologies rank individuals similarly, suggesting that EPAQ2 may be used in etiological studies in this population.nb_NO
dc.language.isoengnb_NO
dc.publisherPLOS.orgnb_NO
dc.subjectsleepnb_NO
dc.subjectbioenergeticsnb_NO
dc.subjectemploymentnb_NO
dc.subjectquestionnairesnb_NO
dc.subjectbody mass indexnb_NO
dc.subjectelderlynb_NO
dc.subjectheart ratenb_NO
dc.subjectobesitynb_NO
dc.titleComparison of the EPIC physical activity questionnaire with combined heart rate and movement sensing in a nationally representative sample of older British adultsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Basic biosciences: 470nb_NO
dc.subject.nsiVDP::Agriculture and fishery disciplines: 900::Agriculture disciplines: 910nb_NO
dc.source.journalPLoS ONEnb_NO
dc.description.localcodeSeksjon for idretssmedisinske fag / Department of Sports Medicinenb_NO


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