Exploring the use of meal delivery services in Belgium

Abstract Background Ready-to-eat meal delivery services have become commonplace in recent years and their growth accelerated during the COVID-19 pandemic. However, the potential ramifications on dietary habits and subsequent health outcomes remain largely unexplored. Given the well-established links between unhealthy dietary patterns and chronic diseases such as obesity, type II diabetes, and cardiovascular diseases, understanding the determinants and public health implications of ready-to-eat meal delivery services use is imperative. This study aims to investigate the determinants associated with the use of ready-to-eat meal delivery services and their implications for health behaviours and outcomes. Methods This cross-sectional study is conducted amongst adults residing in Flanders or Brussels, Belgium. A quantitative online survey commenced in April 2024 and is scheduled to conclude by June 2024. Structural equation models will be used to assess determinants and implications of ready-to-eat meal delivery services use. Latent class analysis will be used to identify user profiles and subsequent structural equation modelling will assess determinants of these profiles and their associated health (behaviour) outcomes. Results Preliminary results suggest meal delivery usage was higher in younger and middle-income users. Main reasons of use amongst users (n = 139) were more time for leisure activities (66%) and supermarket avoidance (64%). Main reasons for non-use amongst non-users (n = 69) were not wanting to spend money with meal delivery services (70%) and preference to cook own meals (81%). Data collection is currently ongoing. Further analysis is planned, and full results will be available by November 2024. Conclusions This study will provide a better understanding of drivers of meal delivery services use in Belgium and their potential impact on public health. It will also help inform public health strategies targeted at improving dietary habits. Key messages • Recognising that meal delivery services will become ever present in the future, insights into why people order meals for delivery and the potential health implications of such services are essential. • The use of advanced statistical techniques highlights the potential of the study to offer novel insights into determinants and ramifications of meal delivery services usage.