Stierlin, Annabel, de Lepeleere, Sara, Cardon, Greet, Dargent-Molina, Patricia, Hoffmann, Belinda, Murphy, Marie, Kennedy, Aileen, O’donoghue, Grainne, Chastin, Sebastien, de Craemer, Marieke, Institute of Epidemiology and Medical Biometry, Universität Ulm - Ulm University [Ulm, Allemagne], Section Health Economics and Health Services Research, Department of Psychiatry II, Bezirkskrankenhaus Günzburg Neurochirurgische Klinik-Bezirkskrankenhaus Günzburg Neurochirurgische Klinik, Department of Movement and Sports Sciences, Ghent University [Belgium] (UGENT), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Division of Sports and Rehabilitation Medicine, Sport and Exercise Sciences Research Institute, University of Ulster, Centre for Preventive Medicine, School of Health and Human Performance, Dublin City University [Dublin] (DCU), Institute of Applied Health Research, School of Health and Life Science, Glasgow Caledonian University-Glasgow Caledonian University, The preparation of this paper was supported by the DEterminants of DIetand Physical ACtivity (DEDIPAC) knowledge hub. This work is supported bythe Joint Programming Initiative‘Healthy Diet for a Healthy Life’. The funding agencies supporting this work are (on alphabetical order of participating Member State): Belgium: Research Foundation–Flanders, France: InstitutNational de la Recherche Agronomique (INRA), Germany: Federal Ministry of Education and Research (BMBF), Ireland: The Health Research Board (HRB), The United Kingdom: The Medical Research Council (MRC).Sara De Lepeleere is a recipient of a PhD-scholarship from the Flemish Agency for Care and Health (B/12732/01) and is supported by the Research Foundation Flanders (FWO) (FWO14/ASP/066). Marieke De Craemer is supported by the Research Foundation Flanders (FWO) (FWO.OPR.2013.0366.01), Ulm University, Bezirkskrankenhaus Günzburg Neurochirurgische Klinik - Bezirkskrankenhaus Günzburg Neurochirurgische Klinik, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Ulm, Glasgow Caledonian University - Glasgow Caledonian University, Universiteit Gent = Ghent University [Belgium] (UGENT), Universiteit Gent = Ghent University (UGENT), and BMC, BMC
International audience; AbstractSedentary behaviour (SB) has emerged as a potential risk factor for metabolic health in youth. Knowledge on the determinants of SB in youth is necessary to inform future intervention development to reduce SB. A systematic review was conducted to identify predictors and determinants of SB in youth. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched, limiting to articles in English, published between January 2000 and May 2014. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour, (b) determinants, (c) types of sedentary behaviours, (d) types of determinants. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823). Cross-sectional studies were excluded. The analysis was guided by the socio-ecological model. 37 studies were selected out of 2654 identified papers from the systematic literature search. Most studies were conducted in Europe (n = 13), USA (n = 11), and Australia (n = 10). The study quality, using the Qualsyst tool, was high with a median of 82 % (IQR: 74–91 %). Multiple potential determinants were studied in only one or two studies. Determinants were found at the individual, interpersonal, environmental and policy level but few studies examined a comprehensive set of factors at different levels of influences. Evidence was found for age being positively associated with total SB, and weight status and baseline assessment of screen time being positively associated with screen time (at follow-up). A higher playground density and a higher availability of play and sports equipment at school were consistently related to an increased total SB, although these consistent findings come from single studies. Evidence was also reported for the presence of safe places to cross roads and lengthening morning and lunch breaks being associated with less total SB. Future interventions to decrease SB levels should especially target children with overweight or obesity and should start at a young age. However, since the relationship of many determinants with SB remains inconsistent, there is still a need for more longitudinal research on determinants of SB in youth.