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dc.contributor.authorMarsaux, Cyril Fm
dc.contributor.authorCelis-Morales, Carlos
dc.contributor.authorFallaize, Rosalind
dc.contributor.authorMacready, Anna L.
dc.contributor.authorKolossa, Silvia
dc.contributor.authorWoolhead, Clara
dc.contributor.authorO'Donovan, Clare B.
dc.contributor.authorForster, Hannah
dc.contributor.authorNavas-Carretero, Santiago
dc.contributor.authorSan-Cristobal, Rodrigo
dc.contributor.authorLambrinou, Christina-Paulina
dc.contributor.authorMoschonis, George
dc.contributor.authorSurwillo, Agnieszka
dc.contributor.authorGodlewska, Magdalena
dc.contributor.authorGoris, Annelies
dc.contributor.authorHoonhout, Jettie
dc.contributor.authorDrevon, Christian A.
dc.contributor.authorManios, Yannis
dc.contributor.authorTraczyk, Iwona
dc.contributor.authorWalsh, Marianne C.
dc.contributor.authorGibney, Eileen R.
dc.contributor.authorBrennan, Lorraine
dc.contributor.authorMartinez, J Alfredo
dc.contributor.authorLovegrove, Julie A.
dc.contributor.authorGibney, Michael J.
dc.contributor.authorDaniel, Hannelore
dc.contributor.authorMathers, John C.
dc.contributor.authorSaris, Wim Hm
dc.date.accessioned2016-04-04T13:12:55Z
dc.date.available2016-04-04T13:12:55Z
dc.date.issued2015-10-14
dc.identifier.citationMarsaux , C F , Celis-Morales , C , Fallaize , R , Macready , A L , Kolossa , S , Woolhead , C , O'Donovan , C B , Forster , H , Navas-Carretero , S , San-Cristobal , R , Lambrinou , C-P , Moschonis , G , Surwillo , A , Godlewska , M , Goris , A , Hoonhout , J , Drevon , C A , Manios , Y , Traczyk , I , Walsh , M C , Gibney , E R , Brennan , L , Martinez , J A , Lovegrove , J A , Gibney , M J , Daniel , H , Mathers , J C & Saris , W H 2015 , ' Effects of a Web-Based Personalized Intervention on Physical Activity in European Adults : A Randomized Controlled Trial ' , Journal of Medical Internet Research , vol. 17 , no. 10 , e231 . https://doi.org/10.2196/jmir.4660
dc.identifier.issn1439-4456
dc.identifier.otherPURE: 9476110
dc.identifier.otherPURE UUID: df621b18-7a6a-4fdc-a416-3607bd135f10
dc.identifier.otherPubMed: 26467573
dc.identifier.otherScopus: 84946713190
dc.identifier.urihttp://hdl.handle.net/2299/16942
dc.descriptionCreative Commons Attribution License 2.0
dc.description.abstractBACKGROUND: The high prevalence of physical inactivity worldwide calls for innovative and more effective ways to promote physical activity (PA). There are limited objective data on the effectiveness of Web-based personalized feedback on increasing PA in adults.OBJECTIVE: It is hypothesized that providing personalized advice based on PA measured objectively alongside diet, phenotype, or genotype information would lead to larger and more sustained changes in PA, compared with nonpersonalized advice.METHODS: A total of 1607 adults in seven European countries were randomized to either a control group (nonpersonalized advice, Level 0, L0) or to one of three personalized groups receiving personalized advice via the Internet based on current PA plus diet (Level 1, L1), PA plus diet and phenotype (Level 2, L2), or PA plus diet, phenotype, and genotype (Level 3, L3). PA was measured for 6 months using triaxial accelerometers, and self-reported using the Baecke questionnaire. Outcomes were objective and self-reported PA after 3 and 6 months.RESULTS: While 1270 participants (85.81% of 1480 actual starters) completed the 6-month trial, 1233 (83.31%) self-reported PA at both baseline and month 6, but only 730 (49.32%) had sufficient objective PA data at both time points. For the total cohort after 6 months, a greater improvement in self-reported total PA (P=.02) and PA during leisure (nonsport) (P=.03) was observed in personalized groups compared with the control group. For individuals advised to increase PA, we also observed greater improvements in those two self-reported indices (P=.006 and P=.008, respectively) with increased personalization of the advice (L2 and L3 vs L1). However, there were no significant differences in accelerometer results between personalized and control groups, and no significant effect of adding phenotypic or genotypic information to the tailored feedback at month 3 or 6. After 6 months, there were small but significant improvements in the objectively measured physical activity level (P<.05), moderate PA (P<.01), and sedentary time (P<.001) for individuals advised to increase PA, but these changes were similar across all groups.CONCLUSIONS: Different levels of personalization produced similar small changes in objective PA. We found no evidence that personalized advice is more effective than conventional "one size fits all" guidelines to promote changes in PA in our Web-based intervention when PA was measured objectively. Based on self-reports, PA increased to a greater extent with more personalized advice. Thus, it is crucial to measure PA objectively in any PA intervention study.TRIAL REGISTRATION: ClinicalTrials.gov NCT01530139; http://clinicaltrials.gov/show/NCT01530139 (Archived by WebCite at: http://www.webcitation.org/6XII1QwHz).en
dc.language.isoeng
dc.relation.ispartofJournal of Medical Internet Research
dc.titleEffects of a Web-Based Personalized Intervention on Physical Activity in European Adults : A Randomized Controlled Trialen
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionDepartment of Human and Environmental Sciences
dc.contributor.institutionDepartment of Biological and Environmental Sciences
dc.contributor.institutionWeight and Obesity Research Group
dc.contributor.institutionAgriculture, Food and Veterinary Sciences
dc.contributor.institutionFood Policy, Nutrition and Diet
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.2196/jmir.4660
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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