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Quantitative assessment of the bidirectional relationships between diabetes and depression

Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the...

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Autores principales: Zhuang, Qi-Shuai, Shen, Liang, Ji, Hong-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410312/
https://www.ncbi.nlm.nih.gov/pubmed/28177893
http://dx.doi.org/10.18632/oncotarget.15051
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author Zhuang, Qi-Shuai
Shen, Liang
Ji, Hong-Fang
author_facet Zhuang, Qi-Shuai
Shen, Liang
Ji, Hong-Fang
author_sort Zhuang, Qi-Shuai
collection PubMed
description Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the present bidirectional meta-analysis, among which, 32 studies were about the direction of depression leading to diabetes, and 24 studies about the direction of diabetes leading to depression. Pooled results of the 32 eligible studies covering 1274337 subjects showed that depression patients were at higher risk for diabetes (odds ratio (OR) = 1.34, 95% confidence intervals (CI) = [1.23, 1.46]) than non-depressive subjects. Further gender-subgroup analysis found that the strength of this relationship was stronger in men (OR = 1.63, 95%CI = [1.48, 1.78]) than in women (OR = 1.29, 95%CI = [1.07, 1.51]). For the direction of diabetes leading to depression, pooled data of 24 articles containing 329658 subjects showed that patients with diabetes were at higher risk for diabetes (OR = 1.28, 95%CI = [1.15, 1.42]) than non-diabetic subjects. The available data supports that the relationships between diabetes and depression are bidirectional and the overall strengths are similar in both directions. More mechanistic studies are encouraged to explore the molecular mechanisms underlying the relationships between the two diseases.
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spelling pubmed-54103122017-05-04 Quantitative assessment of the bidirectional relationships between diabetes and depression Zhuang, Qi-Shuai Shen, Liang Ji, Hong-Fang Oncotarget Research Paper Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the present bidirectional meta-analysis, among which, 32 studies were about the direction of depression leading to diabetes, and 24 studies about the direction of diabetes leading to depression. Pooled results of the 32 eligible studies covering 1274337 subjects showed that depression patients were at higher risk for diabetes (odds ratio (OR) = 1.34, 95% confidence intervals (CI) = [1.23, 1.46]) than non-depressive subjects. Further gender-subgroup analysis found that the strength of this relationship was stronger in men (OR = 1.63, 95%CI = [1.48, 1.78]) than in women (OR = 1.29, 95%CI = [1.07, 1.51]). For the direction of diabetes leading to depression, pooled data of 24 articles containing 329658 subjects showed that patients with diabetes were at higher risk for diabetes (OR = 1.28, 95%CI = [1.15, 1.42]) than non-diabetic subjects. The available data supports that the relationships between diabetes and depression are bidirectional and the overall strengths are similar in both directions. More mechanistic studies are encouraged to explore the molecular mechanisms underlying the relationships between the two diseases. Impact Journals LLC 2017-02-03 /pmc/articles/PMC5410312/ /pubmed/28177893 http://dx.doi.org/10.18632/oncotarget.15051 Text en Copyright: © 2017 Zhuang et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Zhuang, Qi-Shuai
Shen, Liang
Ji, Hong-Fang
Quantitative assessment of the bidirectional relationships between diabetes and depression
title Quantitative assessment of the bidirectional relationships between diabetes and depression
title_full Quantitative assessment of the bidirectional relationships between diabetes and depression
title_fullStr Quantitative assessment of the bidirectional relationships between diabetes and depression
title_full_unstemmed Quantitative assessment of the bidirectional relationships between diabetes and depression
title_short Quantitative assessment of the bidirectional relationships between diabetes and depression
title_sort quantitative assessment of the bidirectional relationships between diabetes and depression
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410312/
https://www.ncbi.nlm.nih.gov/pubmed/28177893
http://dx.doi.org/10.18632/oncotarget.15051
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