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评估归因于生活方式因素的常见精神障碍负担:全球疾病负担生活方式与精神障碍(GLAD)项目方案

Estimating the Burden of Common Mental Disorders Attributable to Lifestyle Factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project.

作者信息

Ashtree Deborah N, Orr Rebecca, Lane Melissa M, Akbaraly Tasnime N, Bonaccio Marialaura, Costanzo Simona, Gialluisi Alessandro, Grosso Giuseppe, Lassale Camille, Martini Daniela, Monasta Lorenzo, Santomauro Damian, Stanaway Jeffrey, Jacka Felice N, O'Neil Adrienne

机构信息

IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia.

Université Montpellier, Institut National de Santé et de Recherche Médicale (INSERM), Desbrest Institute of Epidemiology and Public Health (IDESP), F-34090 Montpellier, France.

出版信息

JMIR Res Protoc. 2025 Mar 14;14:e65576. doi: 10.2196/65576.

Abstract

BACKGROUND

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) collects and calculates risk-outcome data for modifiable lifestyle exposures (eg, dietary intake) and physical health outcomes (eg, cancers). These estimates form a critical digital resource tool, the GBD VizHub data visualization tool, for governments and policy makers to guide local, regional, and global health decisions. Despite evidence showing the contributions of lifestyle exposures to common mental disorders (CMDs), such as depression and anxiety, GBD does not currently generate these lifestyle exposure-mental disorder outcome pairings. This gap is due to a lack of uniformly collected and analyzed data about these exposures as they relate to CMDs. Such data are required to quantify whether, and to what degree, the global burden of CMDs could be reduced by targeting lifestyle factors at regional and global levels. We have established the Global burden of disease Lifestyle And mental Disorder (GLAD) Taskforce to address this gap.

OBJECTIVE

This study aims to generate the necessary estimates to afford the inclusion of lifestyle exposures as risk factors for CMDs in the GBD study and the GBD digital visualization tools, initially focusing on the relationship between dietary intake and CMDs.

METHODS

The GLAD project is a multicenter, collaborative effort to integrate lifestyle exposures as risk factors for CMDs in the GBD study. To achieve this aim, global epidemiological studies will be recruited to conduct harmonized data analyses estimating the risk, odds, or hazards of lifestyle exposures with CMD outcomes. Initially, these models will focus on the relationship between dietary intake, as defined by the GBD, and anxiety and depression.

RESULTS

As of August 2024, 18 longitudinal cohort studies from 9 countries (Australia: n=4; Brazil: n=1; France: n=1; Italy: n=3; The Netherlands: n=3; New Zealand: n=1; South Africa: n=1; Spain: n=1; and United Kingdom: n=3) have agreed to participate in the GLAD project.

CONCLUSIONS

Our comprehensive, collaborative approach allows for the concurrent execution of a harmonized statistical analysis protocol across multiple, internationally renowned epidemiological cohorts. These results will be used to inform the GBD study and incorporate lifestyle risk factors for CMD in the GBD digital platform. Consequently, given the worldwide influence of the GBD study, findings from the GLAD project can offer valuable insights to policy makers worldwide around lifestyle-based mental health care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/65576.

摘要

背景

全球疾病、伤害及风险因素研究(GBD)收集并计算可改变的生活方式暴露因素(如饮食摄入)与身体健康结果(如癌症)之间的风险-结果数据。这些估计值构成了一个关键的数字资源工具——GBD VizHub数据可视化工具,供政府和政策制定者指导地方、区域和全球的卫生决策。尽管有证据表明生活方式暴露因素对常见精神障碍(如抑郁症和焦虑症)有影响,但GBD目前并未生成这些生活方式暴露因素与精神障碍结果的配对数据。这一差距是由于缺乏关于这些与常见精神障碍相关的暴露因素的统一收集和分析数据。需要此类数据来量化在区域和全球层面针对生活方式因素是否能够以及在何种程度上降低常见精神障碍的全球负担。我们成立了全球疾病负担生活方式与精神障碍(GLAD)特别工作组来填补这一空白。

目的

本研究旨在生成必要的估计值,以便将生活方式暴露因素纳入GBD研究及GBD数字可视化工具中作为常见精神障碍的风险因素,最初重点关注饮食摄入与常见精神障碍之间的关系。

方法

GLAD项目是一项多中心的合作努力,旨在将生活方式暴露因素作为常见精神障碍的风险因素纳入GBD研究。为实现这一目标,将招募全球流行病学研究来进行统一的数据分析,估计生活方式暴露因素与常见精神障碍结果之间的风险、比值或危害。最初,这些模型将重点关注GBD所定义的饮食摄入与焦虑症和抑郁症之间的关系。

结果

截至2024年8月,来自9个国家的18项纵向队列研究(澳大利亚:4项;巴西:1项;法国:1项;意大利:3项;荷兰:3项;新西兰:1项;南非:1项;西班牙:1项;英国:3项)已同意参与GLAD项目。

结论

我们全面、协作的方法允许在多个国际知名的流行病学队列中同时执行统一的统计分析方案。这些结果将用于为GBD研究提供信息,并将常见精神障碍的生活方式风险因素纳入GBD数字平台。因此,鉴于GBD研究在全球的影响力,GLAD项目的研究结果可为全球政策制定者提供关于基于生活方式的精神卫生保健的宝贵见解。

国际注册报告识别号(IRRID):DERR1-10.2196/65576。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c748/11953606/dbce1b6d6c13/resprot_v14i1e65576_fig1.jpg

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