Socio-economic determinants of physical activity across the life course: a "dEterminantsof dIet and physical aCtivity" (DEDIPAC) umbrella literature review
posted on 2018-01-30, 10:36authored byGráinne O'Donoghue, Aileen Kennedy, Anna Puggina, Katina Aleksovska, Christoph Buck, Con Burns, Greet Cardon, Angela Carlin, Donatella Ciarapica, Marco Colotto, Giancarlo Condello, Tara Coppinger, Cristina Cortis, Sara D'Haese, Marieke De Craemer, Andrea Di Blasio, Sylvia Hansen, Licia Iacoviello, Johann Issartel, Pascal Izzicupo, Lina Jaeschke, Martina Kanning, Fiona Ling, Agnes Luzak, Giorgio Napolitano, Julie-Anne Nazare, Camille Perchoux, Caterina Pesce, Tobias Pischon, Angela Polito, Alessandra Sannella, Holger Schulz, Chantal Simon, Rhoda Sohun, Astrid Steinbrecher, Wolfgang Schlicht, Ciaran MacDonnchaCiaran MacDonncha, Laura Capranica, Stefania Boccia
Background
To date, the scientific literature on socioeconomic correlates and determinants of physical
activity behaviours has been dispersed throughout a number of systematic reviews, often
focusing on one factor (e.g. education or parental income) in one specific age group (e.g.
pre-school children or adults). The aim of this umbrella review is to provide a comprehensive and systematic overview of the scientific literature from previously conducted research by summarising and synthesising the importance and strength of the evidence related to socioeconomic correlates and determinants of PA behaviours across the life course.
Methods
Medline, Embase, ISI Web of Science, Scopus and SPORTDiscus were searched for systematic literature reviews and meta-analyses of observational studies investigating the
association between socioeconomic determinants of PA and PA itself (from January 2004
to September 2017). Data extraction evaluated the importance of determinants, strength of evidence, and methodological quality of the selected papers. The full protocol is available from PROSPERO (PROSPERO2014:CRD42015010616).
Results
Nineteen reviews were included. Moderate methodological quality emerged. For adults,
convincing evidence supports a relationship between PA and socioeconomic status (SES),
especially in relation to leisure time (positive relationship) and occupational PA (negative
relationship). Conversely, no association between PA and SES or parental SES was found
for pre-school, school-aged children and adolescents.
Conclusions
Available evidence on the socioeconomic determinants of PA behaviour across the life
course is probable (shows fairly consistent associations) at best. While some evidence is
available for adults, less was available for youth. This is mainly due to a limited quantity of
primary studies, weak research designs and lack of accuracy in the PA and SES assessment methods employed. Further PA domain specific studies using longitudinal design and clear measures of SES and PA assessment are required.
Funding
Development of a structure identification methodology for nonlinear dynamic systems
MIUR, DEDIPAC Consortium, Research Foundation Flanders, Belgium, Ministry of Agricultural, Food and Forestry Policies, Italy, HRB, Federal Ministry of Education and Research, Institut National de la Recherche Agronomique (INRA), Institut National de PreÂvention et d'Education pour la Sante (INPES)