University of Limerick Institutional Repository

Factors influencing sedentary behaviour: a system based analysis using Bayesian networks within DEDIPAC

DSpace Repository

Show simple item record

dc.contributor.author Buck, Christoph
dc.contributor.author Loyen, Anne
dc.contributor.author Foraita, Ronja
dc.contributor.author Van Cauwenberg, Jelle
dc.contributor.author De Craemer, Marieke
dc.contributor.author Mac Donncha, Ciaran
dc.contributor.author Oppert, Jean-Michel
dc.contributor.author Brug, Johannes
dc.contributor.author Lien, Nanna
dc.contributor.author Cardon, Greet
dc.contributor.author Pigeot, Iris
dc.contributor.author Chastin, Sebastien
dc.date.accessioned 2019-03-08T12:31:05Z
dc.date.available 2019-03-08T12:31:05Z
dc.date.issued 2019
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10344/7672
dc.description peer-reviewed en_US
dc.description.abstract BackgroundDecreasing sedentary behaviour (SB) has emerged as a public health priority since prolonged sitting increases the risk of non-communicable diseases. Mostly, the independent association of factors with SB has been investigated, although lifestyle behaviours are conditioned by interdependent factors. Within the DEDIPAC Knowledge Hub, a system of sedentary behaviours (SOS)-framework was created to take interdependency among multiple factors into account. The SOS framework is based on a system approach and was developed by combining evidence synthesis and expert consensus. The present study conducted a Bayesian network analysis to investigate and map the interdependencies between factors associated with SB through the life-course from large scale empirical data.MethodsData from the Eurobarometer survey (80.2, 2013) that included the International physical activity questionnaire (IPAQ) short as well as socio-demographic information and questions on perceived environment, health, and psychosocial information were enriched with macrolevel data from the Eurostat database. Overall, 33 factors were identified aligned to the SOS-framework to represent six clusters on the individual or regional level: 1) physical health and wellbeing, 2) social and cultural context, 3) built and natural environment, 4) psychology and behaviour, 5) institutional and home settings, 6) policy and economics. A Bayesian network analysis was conducted to investigate conditional associations among all factors and to determine their importance within these networks. Bayesian networks were estimated for the complete (23,865 EU-citizens with complete data) sample and for sexand four age-specific subgroups. Distance and centrality were calculated to determine importance of factors within each network around SB.ResultsIn the young (15-25), adult (26-44), and middle-aged (45-64) groups occupational level was directly associated with SB for both, men and women. Consistently, social class and educational level were indirectly associated within male adult groups, while in women factors of the family context were indirectly associated with SB. Only in older adults, factors of the built environment were relevant with regard to SB, while factors of the home and institutional settings were less important compared to younger age groups.ConclusionFactors of the home and institutional settings as well as the social and cultural context were found to be important in the network of associations around SB supporting the priority for future research in these clusters. Particularly, occupational status was found to be the main driver of SB through the life-course. Investigating conditional associations by Bayesian networks gave a better understanding of the complex interplay of factors being associated with SB. This may provide detailed insights in the mechanisms behind the burden of SB to effectively inform policy makers for detailed intervention planning. However, considering the complexity of the issue, there is need for a more comprehensive system of data collection including objective measures of sedentary time. en_US
dc.language.iso eng en_US
dc.publisher Public Libray of Science en_US
dc.relation.ispartofseries PLoS ONE;14 (1), e0211546
dc.subject adults en_US
dc.subject reduce sitting time en_US
dc.subject mortality en_US
dc.subject strategies en_US
dc.title Factors influencing sedentary behaviour: a system based analysis using Bayesian networks within DEDIPAC 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 2019-03-08T12:24:46Z
dc.description.version PUBLISHED
dc.identifier.doi 10.1371/journal.pone.0211546
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 2870634
dc.internal.copyrightchecked Yes
dc.identifier.journaltitle Plos One
dc.description.status peer-reviewed


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ULIR


Browse

My Account

Statistics