Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis

Abstract Background The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to...

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Autores principales:	Xiaobo Liu, Chao Dong, Hong Jiang, Dongling Zhong, Yuxi Li, Huiling Zhang, Jun Zhang, Jin Fan, Juan Li, Li Guan, Rongjiang Jin
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Type 2 diabetes mellitus Depression Prevalence Risk factors China Medicine R
Acceso en línea:	https://doaj.org/article/c84bca2753a847678fffbe8e22bfdfbb
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spelling	oai:doaj.org-article:c84bca2753a847678fffbe8e22bfdfbb2021-11-28T12:06:37ZPrevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis10.1186/s13643-021-01855-72046-4053https://doaj.org/article/c84bca2753a847678fffbe8e22bfdfbb2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13643-021-01855-7https://doaj.org/toc/2046-4053Abstract Background The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM. Methods We will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran’s Q and I 2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger’s test to assess publication bias. Discussion This systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration PROSPERO CRD42020182979.Xiaobo LiuChao DongHong JiangDongling ZhongYuxi LiHuiling ZhangJun ZhangJin FanJuan LiLi GuanRongjiang JinBMCarticleType 2 diabetes mellitusDepressionPrevalenceRisk factorsChinaMedicineRENSystematic Reviews, Vol 10, Iss 1, Pp 1-6 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Type 2 diabetes mellitus Depression Prevalence Risk factors China Medicine R
spellingShingle	Type 2 diabetes mellitus Depression Prevalence Risk factors China Medicine R Xiaobo Liu Chao Dong Hong Jiang Dongling Zhong Yuxi Li Huiling Zhang Jun Zhang Jin Fan Juan Li Li Guan Rongjiang Jin Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
description	Abstract Background The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM. Methods We will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran’s Q and I 2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger’s test to assess publication bias. Discussion This systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration PROSPERO CRD42020182979.
format	article
author	Xiaobo Liu Chao Dong Hong Jiang Dongling Zhong Yuxi Li Huiling Zhang Jun Zhang Jin Fan Juan Li Li Guan Rongjiang Jin
author_facet	Xiaobo Liu Chao Dong Hong Jiang Dongling Zhong Yuxi Li Huiling Zhang Jun Zhang Jin Fan Juan Li Li Guan Rongjiang Jin
author_sort	Xiaobo Liu
title	Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
title_short	Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
title_full	Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
title_fullStr	Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
title_full_unstemmed	Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
title_sort	prevalence and risk factors of depression in chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis
publisher	BMC
publishDate	2021
url	https://doaj.org/article/c84bca2753a847678fffbe8e22bfdfbb
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Prevalence and risk factors of depression in Chinese patients with type 2 diabetes mellitus: a protocol of systematic review and meta-analysis

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