Projects per year
Abstract
Introduction: Although self-evaluation i.e., negative perceptions of the self is a common depression symptom in adolescents, little is known about how this population spontaneously describe their self and available data on adolescent self-evaluation is limited. This study aimed to generate and report on a list of words used by healthy adolescents and those with elevated depression symptoms to describe their self-evaluation. Linguistic analysis (LIWC) was then used to compare self-evaluation between the two groups.
Methods: Adolescents aged 13-18 years (n = 549) completed a measure of depression symptoms (the Mood and Feelings Questionnaire) and a measure of self-evaluation (the Twenty Statements Test). Responses were then collated and presented in a freely accessible resource and coded using Linguistic Inquiry Word Count (LIWC) analysis.
Results: Self-evaluation words generated by adolescents were uploaded to a publicly accessible site for future research: https://doi.org/10.15125/BATH-01234. Adolescents with elevated depression symptoms described themselves as ‘Tired’ and ‘Sad’ more than healthy adolescents. However, there was no difference between groups in respect to their use of specific positive, prosocial self-evaluation ‘words’ (i.e., ‘Caring’ and ‘Kind). Following Linguistic Inquiry Word Count (LIWC) analysis, adolescents with elevated depression symptoms generated significantly more words than healthy adolescents, generated more words classified as negative emotion, anxiety and sadness and generated fewer words classified positive emotion than healthy adolescents.
Conclusions: As predicted by the cognitive model of depression, our findings suggest that adolescents with elevated symptoms of depression generated more negative self-evaluation words than healthy adolescents; however they also generated prosocial positive self-evaluation words at the same rate as non-depressed adolescents. These novel data therefore identify an ‘island’ of resilience that could be targeted and amplified by psychological treatments for adolescent depression, and thus provide an additional technique of change.
Methods: Adolescents aged 13-18 years (n = 549) completed a measure of depression symptoms (the Mood and Feelings Questionnaire) and a measure of self-evaluation (the Twenty Statements Test). Responses were then collated and presented in a freely accessible resource and coded using Linguistic Inquiry Word Count (LIWC) analysis.
Results: Self-evaluation words generated by adolescents were uploaded to a publicly accessible site for future research: https://doi.org/10.15125/BATH-01234. Adolescents with elevated depression symptoms described themselves as ‘Tired’ and ‘Sad’ more than healthy adolescents. However, there was no difference between groups in respect to their use of specific positive, prosocial self-evaluation ‘words’ (i.e., ‘Caring’ and ‘Kind). Following Linguistic Inquiry Word Count (LIWC) analysis, adolescents with elevated depression symptoms generated significantly more words than healthy adolescents, generated more words classified as negative emotion, anxiety and sadness and generated fewer words classified positive emotion than healthy adolescents.
Conclusions: As predicted by the cognitive model of depression, our findings suggest that adolescents with elevated symptoms of depression generated more negative self-evaluation words than healthy adolescents; however they also generated prosocial positive self-evaluation words at the same rate as non-depressed adolescents. These novel data therefore identify an ‘island’ of resilience that could be targeted and amplified by psychological treatments for adolescent depression, and thus provide an additional technique of change.
Original language | English |
---|---|
Article number | 126 |
Journal | Child and Adolescent Psychiatry and Mental Health |
Volume | 17 |
Issue number | 1 |
DOIs | |
Publication status | Published - 8 Nov 2023 |
Data Availability Statement
The datasets generated and analysed during the current study are available in the University of Bath repository, https://doi.org/10.15125/BATH-01234.Funding
This work was supported by Economic and Social Research Council; Dr Hards is funded by the Economic and Social Research Council (ESRC Post Doctoral Fellowship, ES/W006332/1).
Funders | Funder number |
---|---|
Economic and Social Research Council | ES/W006332/1 |
Keywords
- Adolescents
- Cognitive theory
- Depression
- Self-concept
- Self-evaluation
- Twenty statements test
ASJC Scopus subject areas
- Psychiatry and Mental health
- Pediatrics, Perinatology, and Child Health
Fingerprint
Dive into the research topics of '‘I am tired, sad and kind’: Self-evaluation and symptoms of depression in adolescents'. Together they form a unique fingerprint.Projects
- 1 Finished
-
EH ESRC PD Fellowship - Self-evaluation in adolescent depression
Stallard, P. (PI)
Economic and Social Research Council
1/09/22 → 31/08/24
Project: Research council
Datasets
-
Dataset for ‘I am tired, sad and kind’: self-evaluation and symptoms of depression in adolescents
Hards, E. (Creator), Orchard, F. (Researcher) & Reynolds, S. (Supervisor), University of Bath, 8 Nov 2023
DOI: 10.15125/BATH-01234
Dataset