1. Inequalities in mental health: predictive processing and social life
- Author
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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], and Apollo - University of Cambridge Repository
- Subjects
Cognitive science ,Inequality ,Interface (Java) ,media_common.quotation_subject ,Mental Disorders ,Culture ,MEDLINE ,Cognition ,Mental health ,030227 psychiatry ,Social life ,03 medical and health sciences ,Psychiatry and Mental health ,0302 clinical medicine ,Mental Health ,Social neuroscience ,Cybernetics ,Humans ,Psychology ,Social Factors ,030217 neurology & neurosurgery ,media_common - 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.
- Published
- 2020
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