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Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism
When contemplating the alarming depression rates in adults with autism spectrum disorder (ASD), there is a need to find factors explaining heightened symptoms of depression. Beyond the impact of autism traits, markedly increased levels of alexithymia traits should be considered as a candidate for ex...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838249/ https://www.ncbi.nlm.nih.gov/pubmed/33500523 http://dx.doi.org/10.1038/s41598-021-81696-5 |
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author | Bloch, Carola Burghof, Lana Lehnhardt, Fritz-Georg Vogeley, Kai Falter-Wagner, Christine |
author_facet | Bloch, Carola Burghof, Lana Lehnhardt, Fritz-Georg Vogeley, Kai Falter-Wagner, Christine |
author_sort | Bloch, Carola |
collection | PubMed |
description | When contemplating the alarming depression rates in adults with autism spectrum disorder (ASD), there is a need to find factors explaining heightened symptoms of depression. Beyond the impact of autism traits, markedly increased levels of alexithymia traits should be considered as a candidate for explaining why individuals with ASD report higher levels of depressive symptoms. Here, we aim to identify the extent to which autism or alexithymia traits indicate depressive symptoms in ASD and whether the pattern of association are specific to ASD. Data of a large (N = 400) representative clinical population of adults referred to autism diagnostics have been investigated and split by cases with a confirmed ASD diagnosis (N = 281) and cases with a ruled out ASD diagnosis (N = 119). Dominance analysis revealed the alexithymia factor, difficulties in identifying feelings, as the strongest predictor for depressive symptomatology in ASD, outweighing autism traits and other alexithymia factors. This pattern of prediction was not specific to ASD and was shared by clinical controls from the referral population with a ruled out ASD diagnosis. Thus, the association of alexithymia traits with depression is not unique to ASD and may constitute a general psychopathological mechanism in clinical samples. |
format | Online Article Text |
id | pubmed-7838249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78382492021-01-27 Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism Bloch, Carola Burghof, Lana Lehnhardt, Fritz-Georg Vogeley, Kai Falter-Wagner, Christine Sci Rep Article When contemplating the alarming depression rates in adults with autism spectrum disorder (ASD), there is a need to find factors explaining heightened symptoms of depression. Beyond the impact of autism traits, markedly increased levels of alexithymia traits should be considered as a candidate for explaining why individuals with ASD report higher levels of depressive symptoms. Here, we aim to identify the extent to which autism or alexithymia traits indicate depressive symptoms in ASD and whether the pattern of association are specific to ASD. Data of a large (N = 400) representative clinical population of adults referred to autism diagnostics have been investigated and split by cases with a confirmed ASD diagnosis (N = 281) and cases with a ruled out ASD diagnosis (N = 119). Dominance analysis revealed the alexithymia factor, difficulties in identifying feelings, as the strongest predictor for depressive symptomatology in ASD, outweighing autism traits and other alexithymia factors. This pattern of prediction was not specific to ASD and was shared by clinical controls from the referral population with a ruled out ASD diagnosis. Thus, the association of alexithymia traits with depression is not unique to ASD and may constitute a general psychopathological mechanism in clinical samples. Nature Publishing Group UK 2021-01-26 /pmc/articles/PMC7838249/ /pubmed/33500523 http://dx.doi.org/10.1038/s41598-021-81696-5 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bloch, Carola Burghof, Lana Lehnhardt, Fritz-Georg Vogeley, Kai Falter-Wagner, Christine Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
title | Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
title_full | Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
title_fullStr | Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
title_full_unstemmed | Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
title_short | Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
title_sort | alexithymia traits outweigh autism traits in the explanation of depression in adults with autism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838249/ https://www.ncbi.nlm.nih.gov/pubmed/33500523 http://dx.doi.org/10.1038/s41598-021-81696-5 |
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