The full text of this article hosted at iucr.org is unavailable due to technical difficulties.

Research

Eating Right: Linking Food‐Related Decision‐Making Concepts From Neuroscience, Psychology, and Education

Matthias Doucerain

Corresponding Author

Harvard Graduate School of Education, Harvard University

Department of Neurology and Neurosurgery, McGill University, Montreal Neurological Institute

Address correspondence to Matthias Doucerain, Harvard Graduate School of Education, Harvard University, Cambridge, MA 02138; e‐mail:

maf052@mail.harvard.com

Search for more papers by this author
Lesley K. Fellows

Department of Neurology and Neurosurgery, McGill University, Montreal Neurological Institute

Search for more papers by this author
First published: 16 November 2012
Cited by: 7

ABSTRACT

This literature review uses four dimensions to classify and compare how food‐related decision‐making is conceptualized and experimentally assessed in neuroscience and other disciplines: (1) food‐related decision‐making other than the decision of what to eat that is part of each eating episode, (2) decision complexes other than the eating episode itself, (3) the evolution of food‐related decision‐making over time, and (4) the nature of food related decisions. In neuroscience in particular, food‐related decision‐making research has been dominated by studies exploring the influence of a wide range of factors on the final outcome, the type and amount of foods eaten. In comparison, the steps that are leading up to this outcome have only rarely been discussed. Neuroscientists should broaden their historically narrow conceptualization of food‐related decision‐making. Then neuroscience research could help group the numerous hypothesized influences for each of the decision complexes into meaningful clusters that rely on the same or similar brain mechanisms and that thus function in similar ways. This strategy could help researchers improve existing broad models of human food‐related decision‐making from other disciplines. The integration of neuroscientific and behavioral science approaches can lead to a better model of food‐related decision‐making grounded in the brain and relevant to the design of more effective school and nonschool lifestyle interventions to prevent and treat obesity in children, adolescents, and adults.

Number of times cited: 7

  • , Neural predictors of eating behavior and dietary change, Annals of the New York Academy of Sciences, 1428, 1, (208-220), (2018).
  • , The influence of front-of-package nutrition claims on food perceptions and purchase intentions among Nepali consumers 1, Food Quality and Preference, (2017).
  • , Serotonin enhances the impact of health information on food choice, Cognitive, Affective, & Behavioral Neuroscience, 17, 3, (542), (2017).
  • , Building the Bridge Between Science and Practice: Essential Characteristics of a Translational Framework, Mind, Brain, and Education, 11, 4, (155-165), (2017).
  • , Investigating the Roles of Neuroscience and Knowledge Management in Higher Education, Handbook of Research on Administration, Policy, and Leadership in Higher Education, 10.4018/978-1-5225-0672-0.ch006, (112-140)
  • , Food Choice Is Multifaceted, Contextual, Dynamic, Multilevel, Integrated, and Diverse, Mind, Brain, and Education, 8, 1, (6-12), (2014).
  • , Why (Interdisciplinary) Risk Is Good for Eating Right, "Mind, Brain, and Education", 8, 1, (13-14), (2014).