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Understanding the dynamics driving obesity in socioeconomically deprived urban neighbourhoods: an expert-based systems map

  • Fleur ter Ellen*
  • , Joost Oude Groeniger
  • , Karien Stronks
  • , Luc L. Hagenaars
  • , Carlijn B.M. Kamphuis
  • , Joreintje D. Mackenbach
  • , Mariëlle A. Beenackers
  • , Karen Freijer
  • , Pieter Coenen
  • , Maartje Poelman
  • , Karen M. Oude Hengel
  • , Frank J. van Lenthe
  • *Corresponding author for this work
  • Erasmus University Rotterdam
  • Erasmus School of Social and Behavioural Sciences
  • Amsterdam UMC
  • University of Amsterdam
  • Netherlands Organisation for Applied Scientific Research
  • Erasmus University Medical Center Rotterdam

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Over the past decades, the prevalence of obesity among adults has rapidly increased, particularly in socioeconomically deprived urban neighbourhoods. To better understand the complex mechanisms behind this trend, we created a system map exposing the underlying system driving obesity prevalence in socioeconomically deprived urban neighbourhoods over the last three decades in the Netherlands. Methods: We conducted Group Model Building (GMB) sessions with a group of thirteen interdisciplinary experts to develop a Causal Loop Diagram (CLD) of the obesogenic system. Using system-based analysis, the underlying system dynamics were interpreted. Results: The CLD demonstrates the food environment, physical activity environment, socioeconomic environment and socio-political environment, and their interactions. We identified the following overarching reinforcing dynamics in the obesogenic system in socioeconomically deprived urban neighbourhoods: (1) adverse socioeconomic conditions and an unhealthy food environment reinforced each other, (2) increased social distance between social groups and adverse socioeconomic conditions reinforced each other and (3) increased social distance between institutions and communities and the normalisation of unhealthy behaviours reinforced each other. These deeper system dynamics further reinforced chronic stress, sedentary behaviour, sleeping problems, unhealthy diets and reduced physical activity over time. In turn, these dynamics led to the emergent result of rising obesity prevalence in socioeconomically deprived urban neighbourhoods over the past decades. Conclusions: Our study sheds light on the system dynamics leading to neighbourhoods with an unhealthy food environment, challenging socioeconomic conditions, a widening distance between social groups and an infrastructure that discouraged physical activity while promoting sedentary behaviour. Our insights can form the basis for the development of an integrated approach aimed at reshaping the obesogenic system in socioeconomically deprived urban neighbourhoods.

Original languageEnglish
Article number2
JournalBMC Medicine
Volume23
Issue number1
DOIs
Publication statusPublished - 7 Jan 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Funding

We acknowledge the support from the Netherlands Organisation for Health Research and Development (ZonMw), project number 55.500.2033. The funding body had no role in data collection, analysis, interpretation or the writing of the paper. MAB was funded by a grant from the Netherlands Organization for Scientific Research (NWO/ZonMw) (grant number 09150161810158/VI.Veni.194.041), and by the European Union's Horizon 2020 research and innovation programme (grant number 956780). Also these funding sources were not involved in any of the research activities.

FundersFunder number
Netherlands Organisation for Health Research and Development (ZonMW)55.500.2033
Netherlands Organization for Scientific Research (NWO/ZonMw)09150161810158/VI.Veni.194.041
European Union956780

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Causal Loop Diagram
    • Complex system
    • Group Model Building
    • Neighbourhood environment
    • Obesity
    • Socioeconomic inequalities
    • System dynamics

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