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dc.contributor.authorGijselaers, Hieronymus J. M-
dc.contributor.authorBarberà Gregori, Elena-
dc.contributor.authorKirschner, Paul A.-
dc.contributor.authorde Groot, Renate H. M-
dc.contributor.otherOpen University of the Netherlands-
dc.contributor.otherUniversitat Oberta de Catalunya (UOC)-
dc.date.accessioned2019-04-04T16:56:54Z-
dc.date.available2019-04-04T16:56:54Z-
dc.date.issued2016-05-03-
dc.identifier.citationGijselaers, H.J.M., Barberà, E., Kirschner, P.A. & de Groot, R.H.M. (2016). Physical activity, sleep, and nutrition do not predict cognitive performance in young and middle-aged adults. Frontiers in Psychology, 7(). doi: 10.3389/fpsyg.2016.00642-
dc.identifier.issn1664-1078MIAR
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dc.identifier.other2-s2.0-84974815489-
dc.identifier.urihttp://hdl.handle.net/10609/92937-
dc.description.abstractBiological lifestyle factors (BLFs) such as physical activity, sleep, and nutrition play a role in cognitive functioning. Research concerning the relation between BLFs and cognitive performance is scarce however, especially in young and middle-aged adults. Research has not yet focused on a multidisciplinary approach with respect to this relation in the abovementioned population, where lifestyle habits are more stable. The aim of this study was to examine the contribution of these BLFs to cognitive performance. Path analysis was conducted in an observational study in which 1131 adults were analyzed using a cross-validation approach. Participants provided information on physical activity, sedentary behavior, chronotype, sleep duration, sleep quality, and the consumption of breakfast, fish, and caffeine via a survey. Their cognitive performance was measured using objective digital cognitive tests. Exploration yielded a predictive cohesive model that fitted the data properly, x2/df = 0.8, CFI = 1.00, RMSEA < 0.001, SRMR = 0.016. Validation of the developed model indicated that the model fitted the data satisfactorily, x2/df = 2.75, CFI = 0.95, RMSEA < 0.056, SRMR = 0.035. None of the variables within the BLFs were predictive for any of the cognitive performance measures, except for sedentary behavior. Although sedentary behavior was positively predictive for processing speed its contribution was small and unclear. The results indicate that the variables within the BLFs do not predict cognitive performance in young and middle-aged adults.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherFrontiers in Psychology-
dc.relation.ispartofFrontiers in Psychology, 2016, 7()-
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fpsyg.2016.00642/full-
dc.rightsCC BY-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/-
dc.subjectbiological lifestyle factorsen
dc.subjectsedentary behavioren
dc.subjectALOUD studyen
dc.subjectpath analysisen
dc.subjectstructural equationen
dc.subjectmodelingen
dc.subjecttrail making testen
dc.subjectn-back tasken
dc.subjectsubstitution testen
dc.subjectfactors d'estil de vida biològicca
dc.subjectcomportament sedentarica
dc.subjectestudi ALOUDca
dc.subjectanàlisi de caminsca
dc.subjectequació estructuralca
dc.subjectmodelatgeca
dc.subjectprova de traçatca
dc.subjecttasca n-backca
dc.subjectprova de substitucióca
dc.subjectfactores del estilo de vida biológicoes
dc.subjectcomportamiento sedentarioes
dc.subjectestudio ALOUDes
dc.subjectanálisis de rutaes
dc.subjectecuación estructurales
dc.subjectmodeladoes
dc.subjectprueba de trazadoes
dc.subjecttarea n-backes
dc.subjectprueba de sustituciónes
dc.subject.lcshPerformanceen
dc.titlePhysical activity, sleep, and nutrition do not predict cognitive performance in young and middle-aged adults-
dc.typeinfo:eu-repo/semantics/article-
dc.subject.lemacRendimentca
dc.subject.lcshesRendimientoes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doi10.3389/fpsyg.2016.00642-
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