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Heterogeneity of depression across the socioeconomic spectrum
Why is lower socioeconomic status associated with higher rates of depression? And, is the surplus of depression at lower SES just more of the same type as depression found at higher levels, or is it distinctive? We addressed these questions by examining the relations among SES, amygdala volume, and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119997/ https://www.ncbi.nlm.nih.gov/pubmed/37036974 http://dx.doi.org/10.1073/pnas.2222069120 |
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author | Hao, Yu Farah, Martha J. |
author_facet | Hao, Yu Farah, Martha J. |
author_sort | Hao, Yu |
collection | PubMed |
description | Why is lower socioeconomic status associated with higher rates of depression? And, is the surplus of depression at lower SES just more of the same type as depression found at higher levels, or is it distinctive? We addressed these questions by examining the relations among SES, amygdala volume, and symptoms of depression in healthy young adults. Amygdala volume, a risk factor for depression, does not synergize with SES in a diathesis–stress relation, nor does it mediate the relation of SES to depression. Rather, SES and amygdala volume are independent, additive risk factors. They are also associated with different depression symptoms and, whereas perceived stress fully mediates the relation of SES to depression, it has no relation to amygdala volume. These findings suggest heterogeneity of depression across the socioeconomic spectrum, with implications for treatment selection as well as for future genetic and brain studies. |
format | Online Article Text |
id | pubmed-10119997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-101199972023-10-10 Heterogeneity of depression across the socioeconomic spectrum Hao, Yu Farah, Martha J. Proc Natl Acad Sci U S A Biological Sciences Why is lower socioeconomic status associated with higher rates of depression? And, is the surplus of depression at lower SES just more of the same type as depression found at higher levels, or is it distinctive? We addressed these questions by examining the relations among SES, amygdala volume, and symptoms of depression in healthy young adults. Amygdala volume, a risk factor for depression, does not synergize with SES in a diathesis–stress relation, nor does it mediate the relation of SES to depression. Rather, SES and amygdala volume are independent, additive risk factors. They are also associated with different depression symptoms and, whereas perceived stress fully mediates the relation of SES to depression, it has no relation to amygdala volume. These findings suggest heterogeneity of depression across the socioeconomic spectrum, with implications for treatment selection as well as for future genetic and brain studies. National Academy of Sciences 2023-04-10 2023-04-18 /pmc/articles/PMC10119997/ /pubmed/37036974 http://dx.doi.org/10.1073/pnas.2222069120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Hao, Yu Farah, Martha J. Heterogeneity of depression across the socioeconomic spectrum |
title | Heterogeneity of depression across the socioeconomic spectrum |
title_full | Heterogeneity of depression across the socioeconomic spectrum |
title_fullStr | Heterogeneity of depression across the socioeconomic spectrum |
title_full_unstemmed | Heterogeneity of depression across the socioeconomic spectrum |
title_short | Heterogeneity of depression across the socioeconomic spectrum |
title_sort | heterogeneity of depression across the socioeconomic spectrum |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10119997/ https://www.ncbi.nlm.nih.gov/pubmed/37036974 http://dx.doi.org/10.1073/pnas.2222069120 |
work_keys_str_mv | AT haoyu heterogeneityofdepressionacrossthesocioeconomicspectrum AT farahmarthaj heterogeneityofdepressionacrossthesocioeconomicspectrum |