Journal article

The determinants of food choice.

  • Leng G Centre for Integrative Physiology, University of Edinburgh,George Square,Edinburgh,EH8 9XD,UK.
  • Adan RAH Department Translational Neuroscience,Brain Center Rudolf Magnus, University Medical Center Utrecht,Utrecht,The Netherlands.
  • Belot M European University Institute,Via dei Roccettini 9,I-50014 San Domenico di Fiesole,Italy.
  • Brunstrom JM Nutrition and Behaviour Unit, School of Experimental Psychology, University of Bristol,12a Priory Road,Bristol BS8 1TU,UK.
  • de Graaf K Division of Human Nutrition,Wageningen University & Research Centre,Wageningen,Stippeneng 4,6708 WE,The Netherlands.
  • Dickson SL Department Physiology/Endocrine,Institute of Neuroscience and Physiology, The Sahlgrenka Academy at the University of Gothenburg,SE-405 30 Gothenburg,Sweden.
  • Hare T Laboratory for Social and Neural Systems Research, Department of Economics,University of Zurich,Bluemlisalpstrasse 10,8006 Zurich,Switzerland.
  • Maier S Laboratory for Social and Neural Systems Research, Department of Economics,University of Zurich,Bluemlisalpstrasse 10,8006 Zurich,Switzerland.
  • Menzies J Centre for Integrative Physiology, University of Edinburgh,George Square,Edinburgh,EH8 9XD,UK.
  • Preissl H Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen; German Center for Diabetes Research (DZD e.V.),Tübingen,Germany.
  • Reisch LA Department of Intercultural Communication and Management,Copenhagen Business School,Porcelaenshaven 18a,DK - 2000 Frederiksberg,Denmark.
  • Rogers PJ Nutrition and Behaviour Unit, School of Experimental Psychology, University of Bristol,12a Priory Road,Bristol BS8 1TU,UK.
  • Smeets PAM Division of Human Nutrition,Wageningen University & Research Centre,Wageningen,Stippeneng 4,6708 WE,The Netherlands.
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  • 2016-12-02
Published in:
  • The Proceedings of the Nutrition Society. - 2017
English Health nudge interventions to steer people into healthier lifestyles are increasingly applied by governments worldwide, and it is natural to look to such approaches to improve health by altering what people choose to eat. However, to produce policy recommendations that are likely to be effective, we need to be able to make valid predictions about the consequences of proposed interventions, and for this, we need a better understanding of the determinants of food choice. These determinants include dietary components (e.g. highly palatable foods and alcohol), but also diverse cultural and social pressures, cognitive-affective factors (perceived stress, health attitude, anxiety and depression), and familial, genetic and epigenetic influences on personality characteristics. In addition, our choices are influenced by an array of physiological mechanisms, including signals to the brain from the gastrointestinal tract and adipose tissue, which affect not only our hunger and satiety but also our motivation to eat particular nutrients, and the reward we experience from eating. Thus, to develop the evidence base necessary for effective policies, we need to build bridges across different levels of knowledge and understanding. This requires experimental models that can fill in the gaps in our understanding that are needed to inform policy, translational models that connect mechanistic understanding from laboratory studies to the real life human condition, and formal models that encapsulate scientific knowledge from diverse disciplines, and which embed understanding in a way that enables policy-relevant predictions to be made. Here we review recent developments in these areas.
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  • English
Open access status
bronze
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https://sonar.ch/global/documents/258425
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