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Inequalities in mental health: predictive processing and social life
- 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.
- 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
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....bbba30f6bb58bb8462d562c81a37a4d0
- Full Text :
- https://doi.org/10.17863/cam.62617