Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project

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 v...

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Autores: Ashtree, Deborah N., Orr, Rebecca, Lane, Melissa M., Akbaraly, Tasnime, Bonaccio, Marialaura, Costanzo, Simona, Gialluisi, Alessandro, Grosso, Giuseppe, Lassale, Camille, Martini, Daniela, Monasta, Lorenzo, Santomauro, Damian, Stanaway, Jeffrey, Jacka, Felice N., O'Neil, Adrienne
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/70714
Acceso en línea:http://hdl.handle.net/10230/70714
http://dx.doi.org/10.2196/65576
Access Level:acceso abierto
Palabra clave:Anxiety
Burden of disease
Depression
Diet
Epidemiology
Lifestyle
Mental disorders
Mental health
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dc.title.none.fl_str_mv Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
title Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
spellingShingle Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
Ashtree, Deborah N.
Anxiety
Burden of disease
Depression
Diet
Epidemiology
Lifestyle
Mental disorders
Mental health
title_short Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
title_full Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
title_fullStr Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
title_full_unstemmed Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
title_sort Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project
dc.creator.none.fl_str_mv Ashtree, Deborah N.
Orr, Rebecca
Lane, Melissa M.
Akbaraly, Tasnime
Bonaccio, Marialaura
Costanzo, Simona
Gialluisi, Alessandro
Grosso, Giuseppe
Lassale, Camille
Martini, Daniela
Monasta, Lorenzo
Santomauro, Damian
Stanaway, Jeffrey
Jacka, Felice N.
O'Neil, Adrienne
author Ashtree, Deborah N.
author_facet Ashtree, Deborah N.
Orr, Rebecca
Lane, Melissa M.
Akbaraly, Tasnime
Bonaccio, Marialaura
Costanzo, Simona
Gialluisi, Alessandro
Grosso, Giuseppe
Lassale, Camille
Martini, Daniela
Monasta, Lorenzo
Santomauro, Damian
Stanaway, Jeffrey
Jacka, Felice N.
O'Neil, Adrienne
author_role author
author2 Orr, Rebecca
Lane, Melissa M.
Akbaraly, Tasnime
Bonaccio, Marialaura
Costanzo, Simona
Gialluisi, Alessandro
Grosso, Giuseppe
Lassale, Camille
Martini, Daniela
Monasta, Lorenzo
Santomauro, Damian
Stanaway, Jeffrey
Jacka, Felice N.
O'Neil, Adrienne
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anxiety
Burden of disease
Depression
Diet
Epidemiology
Lifestyle
Mental disorders
Mental health
topic Anxiety
Burden of disease
Depression
Diet
Epidemiology
Lifestyle
Mental disorders
Mental health
description 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.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/70714
http://dx.doi.org/10.2196/65576
url http://hdl.handle.net/10230/70714
http://dx.doi.org/10.2196/65576
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv JMIR Res Protoc. 2025 Mar 14;14:e65576
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv JMIR publications
publisher.none.fl_str_mv JMIR publications
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Estimating the burden of common mental disorders attributable to lifestyle factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) ProjectAshtree, Deborah N.Orr, RebeccaLane, Melissa M.Akbaraly, TasnimeBonaccio, MarialauraCostanzo, SimonaGialluisi, AlessandroGrosso, GiuseppeLassale, CamilleMartini, DanielaMonasta, LorenzoSantomauro, DamianStanaway, JeffreyJacka, Felice N.O'Neil, AdrienneAnxietyBurden of diseaseDepressionDietEpidemiologyLifestyleMental disordersMental healthBackground: 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.JMIR publications202520252025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/70714http://dx.doi.org/10.2196/65576reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésJMIR Res Protoc. 2025 Mar 14;14:e65576©Deborah N Ashtree, Rebecca Orr, Melissa M Lane, Tasnime N Akbaraly, Marialaura Bonaccio, Simona Costanzo, Alessandro Gialluisi, Giuseppe Grosso, Camille Lassale, Daniela Martini, Lorenzo Monasta, Damian Santomauro, Jeffrey Stanaway, Felice N Jacka, Adrienne O'Neil. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 14.03.2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/707142026-06-12T07:21:37Z
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