The SPOTLIGHT project was a collaboration across thirteen partners from eight countries over four years funded by the Seventh Framework Programme (CORDIS FP7) of the European Commission. The overall aim of the project was to investigate individual and contextual determinants of obesity and identify effective approaches to obesity prevention that target these determinants at multiple levels (1). The project included five research-based work packages, one of which, the focus of this supplement, investigated relations between social and physical environmental factors associated with obesity-related behaviours and weight status.The project generated significant learning on interpreting associations between environment and behaviour, and for understanding the complexity of studying determinants of adult obesity. Moreover, the European context provided a valuable added dimension as a result of both the differences between the countries in which the research took place and their similarities. The systematic reviews on the built (2) and social environment (3) demonstrated the heterogeneity within the existing literature. A systematic review of virtual audit tools demonstrated the feasibility and reliability of using this novel approach for assessing the built environment (4). Building on the learning from the systematic reviews, we developed and validated a protocol for assessing obesity-related characteristics of the built environment using Google Street View (5). Combined with a neighbourhood survey across 60 urban areas in five European study countries, we gathered a wealth of data on neighbourhood environments, neighbourhood perceptions, obesityrelated behaviours and health outcomes. The SPOTLIGHT study has thus provided a range of insights, from the different ways in which people perceive the boundaries of their residential neighbourhoods, to improved understanding of the relations between social capital, diet, physical activity, sedentary behaviour and perceptions of the environment. The project also allowed for methodological developments such as the use of multiple factor and hierarchical clustering obesity reviews