Physical Activity through Sustainable Transport Approaches (PASTA): protocol for a multi-centre, longitudinal study

BMC Public Health

Study Protocol

Juan Pablo Orjuela¹  Audrey de Nazelle¹  Esther Anaya¹  David Rojas-Rueda²  Ione Avila-Palencia²  Mark Nieuwenhuijsen²  Tom Cole-Hunter²  Natalie Mueller²  Arnout Standaert³  Evi Dons⁴  Luc Int Panis⁵  Michelle Laeremans⁵  Thomas Götschi⁶  Sonja Kahlmeier⁶  Erik Stigell⁷  Mailin Gaupp-Berghausen⁸  Tina Uhlmann⁸  Elisabeth Raser⁸  Regine Gerike⁹  Christian Brand^1,10 

[1] Centre for Environmental Policy, Imperial College London, Exhibition Road, South Kensington Campus, SW7 2AZ, London, UK;Centre for Research in Environmental Epidemiology (CREAL), C/Dr. Aiguader 88, 08003, Barcelona, Spain;Universitat Pompeu Fabra (UPF), C/Dr. Aiguader 88, 08003, Barcelona, Spain;CIBER Epidemiología y Salud Pública (CIBERESP), C/Monforte de Lemos 3-5, 28029, Madrid, Spain;Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium;Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium;Centre for Environmental Sciences, Hasselt University, Agoralaan building D, 3590, Diepenbeek, Belgium;Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium;Transportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5/6, 3590, Diepenbeek, Belgium;Physical Activity and Health Unit, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Seilergraben 49, 8001, Zurich, Switzerland;Trivector Traffic AB, Stockholm, Sweden;University of Natural Resources and Life Sciences Vienna, Institute for Transport Studies, Peter-Jordan-Straße 82, 1190, Vienna, Austria;University of Natural Resources and Life Sciences Vienna, Institute for Transport Studies, Peter-Jordan-Straße 82, 1190, Vienna, Austria;Dresden University of Technology, Chair of Integrated Transport Planning and Traffic Engineering, 01062, Dresden, Germany;University of Oxford (UOXF) – Transport Studies Unit, South Parks Road, OX1 3QY, Oxford, UK;

关键词: Physical activity;    Walking;    Cycling;    Travel behaviour;    Air pollution;    Traffic safety;    Study protocol;    Longitudinal;   

DOI  :  10.1186/s12889-015-2453-3

 received in 2015-09-11, accepted in 2015-10-26,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundPhysical inactivity is one of the leading risk factors for non-communicable diseases, yet many are not sufficiently active. The Physical Activity through Sustainable Transport Approaches (PASTA) study aims to better understand active mobility (walking and cycling for transport solely or in combination with public transport) as an innovative approach to integrate physical activity into individuals’ everyday lives. The PASTA study will collect data of multiple cities in a longitudinal cohort design to study correlates of active mobility, its effect on overall physical activity, crash risk and exposure to traffic-related air pollution.Methods/DesignA set of online questionnaires incorporating gold standard approaches from the physical activity and transport fields have been developed, piloted and are now being deployed in a longitudinal study in seven European cities (Antwerp, Barcelona, London, Oerebro, Rome, Vienna, Zurich). In total, 14000 adults are being recruited (2000 in each city). A first questionnaire collects baseline information; follow-up questionnaires sent every 13 days collect prospective data on travel behaviour, levels of physical activity and traffic safety incidents. Self-reported data will be validated with objective data in subsamples using conventional and novel methods. Accelerometers, GPS and tracking apps record routes and activity. Air pollution and physical activity are measured to study their combined effects on health biomarkers. Exposure-adjusted crash risks will be calculated for active modes, and crash location audits are performed to study the role of the built environment. Ethics committees in all seven cities have given independent approval for the study.DiscussionThe PASTA study collects a wealth of subjective and objective data on active mobility and physical activity. This will allow the investigation of numerous correlates of active mobility and physical activity using a data set that advances previous efforts in its richness, geographical coverage and comprehensiveness. Results will inform new health impact assessment models and support efforts to promote and facilitate active mobility in cities.

【 授权许可】

CC BY   
© Dons et al. 2015