TY - JOUR
T1 - Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course)
T2 - a DEDIPAC-study
AU - Condello, Giancarlo
AU - Ling, Fiona Chun Man
AU - Bianco, Antonino
AU - Chastin, Sebastien
AU - Cardon, Greet
AU - Ciarapica, Donatella
AU - Conte, Daniele
AU - Cortis, Cristina
AU - De Craemer, Marieke
AU - Di Blasio, Andrea
AU - Gjaka, Masar
AU - Hansen, Sylvia
AU - Holdsworth, Michelle
AU - Iacoviello, Licia
AU - Izzicupo, Pascal
AU - Jaeschke, Lina
AU - Leone, Liliana
AU - Manoni, Livia
AU - Menescardi, Cristina
AU - Migliaccio, Silvia
AU - Nazare, Julie Anne
AU - Perchoux, Camille
AU - Pesce, Caterina
AU - Pierik, Frank
AU - Pischon, Tobias
AU - Polito, Angela
AU - Puggina, Anna
AU - Sannella, Alessandra
AU - Schlicht, Wolfgang
AU - Schulz, Holger
AU - Simon, Chantal
AU - Steinbrecher, Astrid
AU - MacDonncha, Ciaran
AU - Capranica, Laura
N1 - Publisher Copyright:
© 2016 The Author(s).
PY - 2016/11/9
Y1 - 2016/11/9
N2 - Background: A large proportion of European children, adults and older adults do not engage in sufficient physical activity (PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster. Methods: After gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts' views of 106 identified factors for youth (<19 years), adults (19-64 years), and older adults (≥65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors' expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster. Results: The concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the 'Person', which included clusters 'Intra-Personal Context and Wellbeing' and 'Family and Social Economic Status' (42 % of all factors) and 2) the 'Society', which included the remaining four clusters 'Policy and Provision', 'Cultural Context and Media', 'Social Support and Modelling', and 'Supportive Environment' (58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the 'Intra-Personal Context and Wellbeing' cluster. Furthermore, 16 of them were rated as top priority for research. Conclusions: The current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.
AB - Background: A large proportion of European children, adults and older adults do not engage in sufficient physical activity (PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster. Methods: After gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts' views of 106 identified factors for youth (<19 years), adults (19-64 years), and older adults (≥65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors' expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster. Results: The concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the 'Person', which included clusters 'Intra-Personal Context and Wellbeing' and 'Family and Social Economic Status' (42 % of all factors) and 2) the 'Society', which included the remaining four clusters 'Policy and Provision', 'Cultural Context and Media', 'Social Support and Modelling', and 'Supportive Environment' (58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the 'Intra-Personal Context and Wellbeing' cluster. Furthermore, 16 of them were rated as top priority for research. Conclusions: The current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.
KW - Active lifestyles
KW - Adults
KW - Factors
KW - Older adults
KW - Priority for research
KW - Youth
UR - http://www.scopus.com/inward/record.url?scp=84994577122&partnerID=8YFLogxK
U2 - 10.1186/s12889-016-3800-8
DO - 10.1186/s12889-016-3800-8
M3 - Article
C2 - 27825370
AN - SCOPUS:84994577122
VL - 16
SP - 1
EP - 16
JO - BMC Public Health
JF - BMC Public Health
IS - 1
M1 - 1145
ER -