University of Cambridge
Exploring socio-affective mental health risk factors in adolescence
Abstract
dc:description.abstractThe overarching aim of the work reported in this thesis is to build on the current research investigating the psychological and social processes in mental health disorders; in particular the socio-cognitive affective processing in depression across the lifespan. Depression risk is prevalent amongst adolescents, and there has been considerable research interest focusing on building a clear profile of the mechanisms of depression based on adult models. Here, I address these mechanisms and also integrate evolutionary principles to help better understand why depression may have evolved as an adaptive process involving elevated sensitivity to socially threatening information, negative self-referential processing biases, and behaviours associated with mitigating low social-rank status. Chapter 1 introduces the reader to depression and current theoretical frameworks relevant to social processing. Depression risk is then discussed, with a particular focus on adolescence as a sensitive period for both social development and depression vulnerability. Chapter 2 investigates how sensitivity to affectively-laden social information can impact the cognitive systems needed for everyday functioning, with a focus on cognitive control. Chapter 3 focuses on negative biases in the construction of the social self in adolescents at risk versus lower risk of developing depression. Chapter 4 takes a data-driven approach to investigate the relational social values that are important for social inclusivity. Then, further analysis looks at how these social values change as a function of age and mood. Chapter 5 investigates how hierarchical social information might influence memory, using a fully mature cognitive system (i.e. non-depressed adults). Finally, Chapter 6 integrates the evidence from Chapters 2-5 and provides a general discussion about the social processes in adolescents at risk of developing depression.
Degree
thesis:*- Name dc:type.qualificationname
- Doctor of Philosophy (PhD)
- Level dc:type.qualificationlevel
- Doctoral
- Grantor dc:publisher.institution
- University of Cambridge
- Year dc:date.issued
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Griffiths, Kirsty
- Advisors dc:contributor.advisor
-
- Dalgleish, Tim
- Stretton, Jason
Subjects
dc:subject × 5Rights
dc:rights- Language dc:language
- eng
Identifiers
dc:identifier.*- Author Identifier
- 0000-0001-7158-2683
- OAI identifier oai:identifier
- oai:www.repository.cam.ac.uk:1810/344434