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Inequalities in mental health: predictive processing and social life

Authors :
Paul C. Fletcher
Natasha M. Kriznik
Michael Kelly
John Ford
Carol Brayne
Ann Louise Kinmonth
Kelly, Mike [0000-0002-2029-5841]
Brayne, Carol [0000-0001-5307-663X]
Fletcher, Paul [0000-0001-8257-1517]
Apollo - University of Cambridge Repository
Publication Year :
2020
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2020.

Abstract

Purpose of review The paper applies recent conceptualisations of predictive processing to the understanding of inequalities in mental health. Recent findings Social neuroscience has developed important ideas about the way the brain models the external world, and how the interface between cognitive and cultural processes interacts. These resonate with earlier concepts from cybernetics and sociology. These approaches could be applied to understanding some of the dynamics leading to the patterning of mental health problems in populations. Summary The implications for practice are the way such thinking might help illuminate how we think and act, and how these are anchored in the social world.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....bbba30f6bb58bb8462d562c81a37a4d0
Full Text :
https://doi.org/10.17863/cam.62617