Identifying and sharing data for secondary data analysis of physical activity, sedentary behaviour and their determinants across the life course in Europe: general principles and an example from DEDIPAC

Background The utilisation of available cross-European data for secondary data analyses on physical activity, sedentary behaviours and their underlying determinants may benefit from the wide variation that exists across Europe in terms of these behaviours and their determinants. Such reuse of existing data for further research requires Findable; Accessible; Interoperable; Reusable (FAIR) data management and stewardship. We here describe the inventory and development of a comprehensive European dataset compendium and the process towards cross-European secondary data analyses of pooled data on physical activity, sedentary behaviour and their correlates across the life course. Methods A five-step methodology was followed by the European Determinants of Diet and Physical Activity (DEDIPAC) Knowledge Hub, covering the (1) identification of relevant datasets across Europe, (2) development of a compendium including details on the design, study population, measures and level of accessibility of data from each study, (3) definition of key topics and approaches for secondary analyses, (4) process of gaining access to datasets and (5) pooling and harmonisation of the data and the development of a data harmonisation platform. Results A total of 114 unique datasets were found for inclusion within the DEDIPAC compendium. Of these datasets, 14 were eventually obtained and reused to address 10 exemplar research questions. The DEDIPAC data harmonisation platform proved to be useful for pooling, but in general, harmonisation was often restricted to just a few core (crude) outcome variables and some individual-level sociodemographic correlates of these behaviours. Conclusions Obtaining, pooling and harmonising data for secondary data analyses proved to be difficult and sometimes even impossible. Compliance to FAIR data management and stewardship principles currently appears to be limited for research in the field of physical activity and sedentary behaviour. We discuss some of the reasons why this might be the case and present recommendations based on our experience.

[1]  J. Lakerveld,et al.  A life course examination of the physical environmental determinants of physical activity behaviour: A “Determinants of Diet and Physical Activity” (DEDIPAC) umbrella systematic literature review , 2017, PloS one.

[2]  J. Lakerveld,et al.  Sitting too much: A hierarchy of socio-demographic correlates. , 2017, Preventive medicine.

[3]  H. P. van der Ploeg,et al.  Inventory of surveillance systems assessing dietary, physical activity and sedentary behaviours in Europe: a DEDIPAC study , 2017, European journal of public health.

[4]  J. Lakerveld,et al.  The Upstream Determinants of Adult Obesity , 2017, Obesity Facts.

[5]  G. Cardon,et al.  Behavioral determinants of physical activity across the life course: a “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[6]  J. Lakerveld,et al.  The SOS-framework (Systems of Sedentary behaviours): an international transdisciplinary consensus framework for the study of determinants, research priorities and policy on sedentary behaviour across the life course: a DEDIPAC-study , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[7]  J. Lakerveld,et al.  Variation in population levels of physical activity in European children and adolescents according to cross-European studies: a systematic literature review within DEDIPAC , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[8]  J. Lakerveld,et al.  Variation in population levels of physical activity in European adults according to cross-European studies: a systematic literature review within DEDIPAC , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[9]  J. Lakerveld,et al.  Variation in population levels of sedentary time in European children and adolescents according to cross-European studies: a systematic literature review within DEDIPAC , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[10]  J. Lakerveld,et al.  Variation in population levels of sedentary time in European adults according to cross-European studies: a systematic literature review within DEDIPAC , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[11]  A. Marques,et al.  European adults’ physical activity socio-demographic correlates: a cross-sectional study from the European Social Survey , 2016, PeerJ.

[12]  Erik Schultes,et al.  The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.

[13]  J. Lakerveld,et al.  European Sitting Championship: Prevalence and Correlates of Self-Reported Sitting Time in the 28 European Union Member States , 2016, PloS one.

[14]  J. Lakerveld,et al.  A systematic review of correlates of sedentary behaviour in adults aged 18–65 years: a socio-ecological approach , 2016, BMC Public Health.

[15]  Greet Cardon,et al.  The effect of a cluster randomised control trial on objectively measured sedentary time and parental reports of time spent in sedentary activities in Belgian preschoolers: the ToyBox-study , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[16]  G. Cardon,et al.  A systematic review of determinants of sedentary behaviour in youth: a DEDIPAC-study , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[17]  Johannes Brug,et al.  Systematic literature review of determinants of sedentary behaviour in older adults: a DEDIPAC study , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[18]  D. Alter,et al.  Sedentary Time and Its Association With Risk for Disease Incidence, Mortality, and Hospitalization in Adults , 2015, Annals of Internal Medicine.

[19]  K. Stronks,et al.  Towards the integration and development of a cross-European research network and infrastructure: the DEterminants of DIet and Physical ACtivity (DEDIPAC) Knowledge Hub , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[20]  Oliver Butters,et al.  DataSHIELD: taking the analysis to the data, not the data to the analysis , 2014, International journal of epidemiology.

[21]  Markus Perola,et al.  Data harmonization and federated analysis of population-based studies: the BioSHaRE project , 2013, Emerging Themes in Epidemiology.

[22]  J. Brug,et al.  Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS): rationale and design for meta-analyses of individual patient data of randomized controlled trials that evaluate the effect of physical activity and psychosocial interventions on health-related quality of life in cancer survivors , 2013, Systematic Reviews.

[23]  M. Airaksinen,et al.  Automated dose dispensing service for primary healthcare patients: a systematic review , 2013, Systematic Reviews.

[24]  G. Franck Open access , 2012, Cell cycle.

[25]  K. Khunti,et al.  Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis , 2012, Diabetologia.

[26]  S. Blair,et al.  Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy , 2012, BDJ.

[27]  J. Wells,et al.  Correlates of physical activity: why are some people physically active and others not? , 2012, The Lancet.

[28]  Parminder Raina,et al.  Facilitating collaborative research: Implementing a platform supporting data harmonization and pooling , 2012 .

[29]  U. Ekelund,et al.  International children's accelerometry database (ICAD): Design and methods , 2011, BMC public health.

[30]  F. Hu,et al.  Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. , 2011, JAMA.

[31]  Damian Smedley,et al.  Sustaining the Data and Bioresource Commons , 2010, Science.

[32]  C. AbouZahr,et al.  Sharing health data: good intentions are not enough. , 2010, Bulletin of the World Health Organization.

[33]  Heather A. Piwowar,et al.  Towards a Data Sharing Culture: Recommendations for Leadership from Academic Health Centers , 2008, PLoS medicine.

[34]  Mercè Crosas,et al.  The Dataverse Network®: An Open-Source Application for Sharing, Discovering and Preserving Data , 2011, D Lib Mag..

[35]  Organización Mundial de la Salud Global Health and Aging , 2011 .

[36]  Let data speak to data , 2005, Nature.