Your browser doesn't support javascript.
loading
Depression, brain structure and socioeconomic status: A UK Biobank study.
Johns, Sasha; Lea-Carnall, Caroline; Shryane, Nick; Maharani, Asri.
Affiliation
  • Johns S; School of Social Statistics, The University of Manchester, Manchester, UK. Electronic address: sasha.johns@manchester.ac.uk.
  • Lea-Carnall C; Division of Psychology, Communication and Human Neuroscience, The University of Manchester, Manchester, UK.
  • Shryane N; School of Social Statistics, The University of Manchester, Manchester, UK.
  • Maharani A; Division of Nursing, Midwifery & Social Work, The University of Manchester, Manchester, UK.
J Affect Disord ; 368: 295-303, 2024 Sep 17.
Article in En | MEDLINE | ID: mdl-39299580
ABSTRACT

BACKGROUND:

Depression results from interactions between biological, social, and psychological factors. Literature shows that depression is associated with abnormal brain structure, and that socioeconomic status (SES) is associated with depression and brain structure. However, limited research considers the interaction between each of these factors.

METHODS:

Multivariate regression analysis was conducted using UK Biobank data on 39,995 participants to examine the relationship between depression and brain volume in 23 cortical regions for the whole sample and then separated by sex. It then examined whether SES affected this relationship.

RESULTS:

Eight out of 23 brain areas had significant negative associations with depression in the whole population. However, these relationships were abolished in seven areas when SES was included in the analysis. For females, three regions had significant negative associations with depression when SES was not included, but only one when it was. For males, lower volume in six regions was significantly associated with higher depression without SES, but this relationship was abolished in four regions when SES was included. The precentral gyrus was robustly associated with depression across all analyses.

LIMITATIONS:

Participants with conditions that could affect the brain were not excluded. UK Biobank is not representative of the general population which may limit generalisability. SES was made up of education and income which were not considered separately.

CONCLUSIONS:

SES affects the relationship between depression and cortical brain volume. Health practitioners and researchers should consider this when working with imaging data in these populations.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Affect Disord / J. affect. disord / Journal of affective disorders Year: 2024 Document type: Article Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Affect Disord / J. affect. disord / Journal of affective disorders Year: 2024 Document type: Article Country of publication: Netherlands