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Fat compartments in patients with depression: A meta‐analysis
INTRODUCTION: Depressive disorders are a common illness worldwide. Major depression is known as a significant predictor of the metabolic syndrome. However, the effects of depression on adipose tissue compartments are controversial. This meta‐analysis aimed to evaluate the state of research on the re...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821617/ https://www.ncbi.nlm.nih.gov/pubmed/33150726 http://dx.doi.org/10.1002/brb3.1912 |
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author | Cosan, Alisa S. Schweiger, Julietta U. Kahl, Kai G. Hamann, Bettina Deuschle, Michael Schweiger, Ulrich Westermair, Anna L. |
author_facet | Cosan, Alisa S. Schweiger, Julietta U. Kahl, Kai G. Hamann, Bettina Deuschle, Michael Schweiger, Ulrich Westermair, Anna L. |
author_sort | Cosan, Alisa S. |
collection | PubMed |
description | INTRODUCTION: Depressive disorders are a common illness worldwide. Major depression is known as a significant predictor of the metabolic syndrome. However, the effects of depression on adipose tissue compartments are controversial. This meta‐analysis aimed to evaluate the state of research on the relationship between patients with depression and adipose tissue compartments as compared to nondepressed individuals. METHODS: The PubMed database was searched for human studies that measured adipose tissue compartments such as visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and/or organ‐specific adipose tissue measurements using dual‐energy X‐ray absorptiometry, magnetic resonance imaging or computed tomography scan and reported the means and a measure of variance separately for depressed individuals and healthy controls. Twelve articles were identified, including a total of 1,141 depressed and 2,545 nondepressed individuals. RESULTS: Major depressive disorder and self‐reported depressive symptoms were associated with elevated visceral adipose tissue and elevated subcutaneous adipose tissue. Subanalyses for gender, age, method of adipose tissue measurement, and method of depression assessment showed elevated visceral adipose in depressed individuals. The results could be replicated when focussing on studies controlling for body mass index (BMI). Regarding other adipose tissue compartments, meta‐analysis could not be carried out due to lack of studies. CONCLUSIONS: Depression is associated with enlarged visceral and subcutaneous adipose tissue. Further, especially longitudinal, research is needed to identify the mechanism through which depressive disorders contribute to visceral adiposity. |
format | Online Article Text |
id | pubmed-7821617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78216172021-01-29 Fat compartments in patients with depression: A meta‐analysis Cosan, Alisa S. Schweiger, Julietta U. Kahl, Kai G. Hamann, Bettina Deuschle, Michael Schweiger, Ulrich Westermair, Anna L. Brain Behav Review INTRODUCTION: Depressive disorders are a common illness worldwide. Major depression is known as a significant predictor of the metabolic syndrome. However, the effects of depression on adipose tissue compartments are controversial. This meta‐analysis aimed to evaluate the state of research on the relationship between patients with depression and adipose tissue compartments as compared to nondepressed individuals. METHODS: The PubMed database was searched for human studies that measured adipose tissue compartments such as visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and/or organ‐specific adipose tissue measurements using dual‐energy X‐ray absorptiometry, magnetic resonance imaging or computed tomography scan and reported the means and a measure of variance separately for depressed individuals and healthy controls. Twelve articles were identified, including a total of 1,141 depressed and 2,545 nondepressed individuals. RESULTS: Major depressive disorder and self‐reported depressive symptoms were associated with elevated visceral adipose tissue and elevated subcutaneous adipose tissue. Subanalyses for gender, age, method of adipose tissue measurement, and method of depression assessment showed elevated visceral adipose in depressed individuals. The results could be replicated when focussing on studies controlling for body mass index (BMI). Regarding other adipose tissue compartments, meta‐analysis could not be carried out due to lack of studies. CONCLUSIONS: Depression is associated with enlarged visceral and subcutaneous adipose tissue. Further, especially longitudinal, research is needed to identify the mechanism through which depressive disorders contribute to visceral adiposity. John Wiley and Sons Inc. 2020-11-05 /pmc/articles/PMC7821617/ /pubmed/33150726 http://dx.doi.org/10.1002/brb3.1912 Text en © 2020 The Authors. Brain and Behavior published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Cosan, Alisa S. Schweiger, Julietta U. Kahl, Kai G. Hamann, Bettina Deuschle, Michael Schweiger, Ulrich Westermair, Anna L. Fat compartments in patients with depression: A meta‐analysis |
title | Fat compartments in patients with depression: A meta‐analysis |
title_full | Fat compartments in patients with depression: A meta‐analysis |
title_fullStr | Fat compartments in patients with depression: A meta‐analysis |
title_full_unstemmed | Fat compartments in patients with depression: A meta‐analysis |
title_short | Fat compartments in patients with depression: A meta‐analysis |
title_sort | fat compartments in patients with depression: a meta‐analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821617/ https://www.ncbi.nlm.nih.gov/pubmed/33150726 http://dx.doi.org/10.1002/brb3.1912 |
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