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Appraising food insecurity

Published online by Cambridge University Press:  11 May 2017

Géraldine Coppin
Géraldine Coppin*
Affiliation:
Laboratory for the Study of Emotion Elicitation and Expression, Department of Psychology, University of Geneva, 1205 Geneva, Switzerland. geraldine.coppin@unige.chhttp://cms2.unige.ch/fapse/EmotionLab/Members/geraldine-coppin/index.php Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland.
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Abstract

This commentary focuses on the mechanisms underlying the appraisal of food insecurity. I first describe what appraisal is and why it plays a major role in explaining how different individuals consider food supply as more or less secure. I then describe the potential reciprocal links between appraisal and obesity, based on the well-documented evidence that obesity can cause cognitive deficits.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e112
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Copyright
Copyright © Cambridge University Press 2017 

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References

Carey, M., Small, H., Yoong, S. L., Boyes, A., Bisquera, A. & Sanson-Fisher, R. (2014) Prevalence of comorbid depression and obesity in general practice: A cross-sectional survey. The British Journal of General Practice: The Journal of the Royal College of General Practitioners 64:122–27. doi: 10.3399/bjgp14X677482.CrossRefGoogle ScholarPubMed
Chen, E. & Matthews, K. A. (2001) Cognitive appraisal biases: An approach to understanding the relation between socioeconomic status and cardiovascular reactivity in children. Annals of Behavioral Medicine: A publication of the Society of Behavioral Medicine 23:101–11.Google Scholar
Coppin, G. (2016) The anterior medial temporal lobes: Their role in food intake and body weight regulation. Physiology & Behavior 167:60–70. doi: 10.1016/j.physbeh.2016.08.028.Google Scholar
Coppin, G., Nolan-Poupart, S., Jones-Gotman, M. & Small, D. M. (2014) Working memory and reward association learning impairments in obesity. Neuropsychologia 65:146–55. doi: 10.1016/j.neuropsychologia.2014.10.004.CrossRefGoogle ScholarPubMed
Coppin, G., Pool, E., Delplanque, S., Oud, B., Margot, C., Sander, D. & Van Bavel, J. (2016) Swiss identity smells like chocolate: Social identity shapes olfactory judgments. Scientific Reports 6:34979. doi: 10.1038/srep34979.CrossRefGoogle ScholarPubMed
Coppin, G. & Sander, D. (2016) Theoretical approaches to emotion and its measurement. In: Emotion measurement, ed. Meiselman, H., pp. 3–30. Woodhead.Google Scholar
Fitzpatrick, S., Gilbert, S. & Serpell, L. (2013) Systematic review: Are overweight and obese individuals impaired on behavioural tasks of executive functioning? Neuropsychology Review 23:138–56. doi: 10.1007/s11065-013-9224-7.CrossRefGoogle ScholarPubMed
Hackel, L., Coppin, G., Wohl, M. J. A. & Van Bavel, J. J. (submitted) From groups to grits: Social identity shapes evaluations of food pleasantness.Google Scholar
Joormann, J. & Siemer, M. (2011) Affective processing and emotion regulation in dysphoria and depression: Cognitive biases and deficits in cognitive control. Social Personality Psychology Compass 5:13–28. doi: 10.1111/j.1751-9004.2010.00335.x.Google Scholar
Miller, A. A. & Spencer, S. J. (2014) Obesity and neuroinflammation: A pathway to cognitive impairment. Brain, Behavior, and Immunity 42:10–21. doi: 10.1016/j.bbi.2014.04.001.Google Scholar
Sander, D., Grandjean, D. & Scherer, K. R. (2005) a system approach to appraisal mechanisms in emotion. Neural Networks 18:317–52. doi: 10.1016/j.neunet.2005.03.001.Google Scholar
Scherer, K. R. (1987) Toward a dynamic theory of emotion: The component process model of affective states. Geneva Studies in Emotion and Communication 1:1–98.Google Scholar