Suppr超能文献

一项关于青少年和青年人群中抑郁症发展的系统综述研究方案:来自世界各地的心理、生物和环境视角。

Protocol for a systematic review of the development of depression among adolescents and young adults: psychological, biological, and contextual perspectives around the world.

机构信息

School of Medicine and Health Sciences, Division of Global Mental Health, 2120 L St NW, Ste 600, Washington DC, 20037, USA.

Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.

出版信息

Syst Rev. 2019 Jul 20;8(1):179. doi: 10.1186/s13643-019-1104-7.

Abstract

BACKGROUND

Depression is a leading contributor to disability-adjusted life-years because of early onset and chronicity throughout the lifecycle. It is crucial to identify early predictors of depression among adolescents and young people to effectively target prevention. A gap in the literature is a comprehensive systematic review of predictors of depression among adolescents around the globe, especially in low- and middle-income countries LMICs. This review aims to identify evidence for biological, psychological, and contextual risk factors for the development of depression among adolescents and young adults (10-24 years of age) in high-income countries (HICs) and LMICs, ultimately contributing to (a) identification of potential mechanisms underlying depression development, (b) selection of common risk and protective factors as targets for detection, and (c) refinement of risk models that can be evaluated through existing cohorts in HICs and LMICs.

METHODS

This review will follow the Population, Exposure, Comparison, Outcome (PI(E)CO) model and adheres to the PRISMA-P guidelines. A search strategy was developed by a multidisciplinary research consortium. Seven databases (MEDLINE via Ovid, PsycINFO, Cochrane Database of Systematic Reviews, Web of Science, Lilacs, African Journals Online, Global Health) will be searched to identify articles. Independent raters will screen and retrieve articles for inclusion, conduct quality ratings, and extract data. The Systematic Assessment of Quality in Observational Research adapted for Cultural Psychiatry Epidemiology (SAQOR-CPE) will be used to assess quality of observational studies. We will assess for publication bias using funnel plots and statistical methods. We will use narrative synthesis to present results, addressing the study's objectives following the Cochrane Handbook guidelines. Meta-analyses will be used to report summary statistics for association of risk factors with development of depression.

DISCUSSION

This systematic review will summarize evidence-based research that examines the psychological, biological, and contextual factors contributing to the onset of depression in adolescents across the globe. Results will support the development of a model that can be evaluated in existing cohorts around the world.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration CRD42018103973 .

摘要

背景

由于在整个生命周期中抑郁的发病早且呈慢性,因此它是导致伤残调整生命年的主要因素之一。识别青少年抑郁的早期预测因素对于有效预防至关重要。目前的文献中缺乏对全球范围内青少年抑郁预测因素的全面系统综述,特别是在中低收入国家(LMICs)。本综述旨在确定有关生物、心理和环境风险因素的证据,这些因素与高收入国家(HICs)和中低收入国家(LMICs)青少年和年轻成年人(10-24 岁)的抑郁发展有关,最终有助于:(a) 确定抑郁发展潜在机制;(b) 选择常见的风险和保护因素作为检测目标;(c) 完善可通过 HICs 和 LMICs 现有队列进行评估的风险模型。

方法

本综述将遵循人群、暴露、比较、结局(PI(E)CO)模型,并遵循 PRISMA-P 指南。一个多学科研究联盟制定了检索策略。将通过七个数据库(Ovid 中的 MEDLINE、PsycINFO、Cochrane 系统评价数据库、Web of Science、Lilacs、African Journals Online、全球卫生)搜索文章,以识别纳入的文章。独立的评估人员将筛选和检索文章以进行纳入、进行质量评分和提取数据。将使用针对文化精神病学流行病学改编的观察性研究质量的系统评估工具(SAQOR-CPE)评估观察性研究的质量。我们将使用漏斗图和统计方法评估发表偏倚。我们将使用叙述性综合呈现结果,根据 Cochrane 手册指南解决研究目标。将使用荟萃分析报告危险因素与抑郁发展之间关联的汇总统计数据。

讨论

本系统综述将总结基于证据的研究,这些研究检查了全球范围内导致青少年抑郁发作的心理、生物和环境因素。结果将支持在全球范围内现有的队列中评估模型。

系统综述注册

PROSPERO 注册 CRD42018103973 。

相似文献

引用本文的文献

本文引用的文献

1
The age of adolescence…and young adulthood.青春期及青年期的年龄。
Lancet Child Adolesc Health. 2018 Apr;2(4):e6. doi: 10.1016/S2352-4642(18)30079-8. Epub 2018 Mar 13.
6
Talking sensibly about depression.理智地谈论抑郁症。
PLoS Med. 2017 Apr 4;14(4):e1002257. doi: 10.1371/journal.pmed.1002257. eCollection 2017 Apr.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验