Association between depression and cardiometabolic multimorbidity: A protocol for a systematic review and meta-analysis

INTRODUCTION: Cardio metabolic multimorbidity (CMM) is increasingly prevalent and associated with substantial morbidity and mortality, yet the role of depression in the clustering of cardiometabolic conditions has not been comprehensively synthesized. This systematic review and meta-analysis aims to synthesize observational evidence on the association between depression and cardiometabolic multimorbidity and to estimate the prevalence of cardiometabolic multimorbidity among adults with depression. METHODS: The protocol was registered in PROSPERO (CRD420251079959) and is reported in accordance with PRISMA-P guidelines. We will include observational studies (cohort, case-control, and cross-sectional) involving adults aged ≥18 years that examine the association between depression and CMM. Depression must be assessed using validated diagnostic criteria, standardized screening instruments, or clinical codes. CMM will be defined as the coexistence of two or more cardiometabolic diseases, including at least one metabolic and one cardiovascular condition. Relevant studies will be identified through systematic searches of PubMed, Embase, and Scopus from inception to September 2026, without language restrictions. Two reviewers will independently screen studies, extract data, and assess risk of bias using the Newcastle-Ottawa Scale (NOS) for cohort and case-control studies and the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for cross-sectional studies. Random-effects meta-analyses will be conducted to pool adjusted association estimates. Where sufficient longitudinal data are available, longitudinal risk estimates will also be synthesized separately. Pooled prevalence of CMM among individuals with depression will also be estimated. Heterogeneity, publication bias, and subgroup analyses according to age, sex, geographic region, depression ascertainment method, and cardiometabolic multimorbidity definition will be conducted where sufficient data are available. Certainty of evidence will be evaluated using the GRADE approach. CONCLUSION: This systematic review and meta-analysis is expected to improve the understanding of the relationship between depression and cardiometabolic multimorbidity and to inform future research, clinical practice, and public health strategies.

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PLoS ONE
Published
2026-06-25
DOI
https://doi.org/10.1371/journal.pone.0352464
Primary Topic
Chronic Disease Management Strategies
Type
article
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0.00

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article

Association between depression and cardiometabolic multimorbidity: A protocol for a systematic review and meta-analysis

Somdeth Bodhisane, Myo Zin Oo, Soe Sandi Tint
PLoS ONE
Chronic Disease Management Strategies
article

Association between depression and cardiometabolic multimorbidity: A protocol for a systematic review and meta-analysis

Somdeth Bodhisane, Myo Zin Oo, Soe Sandi Tint
article en

Abstract

INTRODUCTION: Cardio metabolic multimorbidity (CMM) is increasingly prevalent and associated with substantial morbidity and mortality, yet the role of depression in the clustering of cardiometabolic conditions has not been comprehensively synthesized. This systematic review and meta-analysis aims to synthesize observational evidence on the association between depression and cardiometabolic multimorbidity and to estimate the prevalence of cardiometabolic multimorbidity among adults with depression. METHODS: The protocol was registered in PROSPERO (CRD420251079959) and is reported in accordance with PRISMA-P guidelines. We will include observational studies (cohort, case-control, and cross-sectional) involving adults aged ≥18 years that examine the association between depression and CMM. Depression must be assessed using validated diagnostic criteria, standardized screening instruments, or clinical codes. CMM will be defined as the coexistence of two or more cardiometabolic diseases, including at least one metabolic and one cardiovascular condition. Relevant studies will be identified through systematic searches of PubMed, Embase, and Scopus from inception to September 2026, without language restrictions. Two reviewers will independently screen studies, extract data, and assess risk of bias using the Newcastle-Ottawa Scale (NOS) for cohort and case-control studies and the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for cross-sectional studies. Random-effects meta-analyses will be conducted to pool adjusted association estimates. Where sufficient longitudinal data are available, longitudinal risk estimates will also be synthesized separately. Pooled prevalence of CMM among individuals with depression will also be estimated. Heterogeneity, publication bias, and subgroup analyses according to age, sex, geographic region, depression ascertainment method, and cardiometabolic multimorbidity definition will be conducted where sufficient data are available. Certainty of evidence will be evaluated using the GRADE approach. CONCLUSION: This systematic review and meta-analysis is expected to improve the understanding of the relationship between depression and cardiometabolic multimorbidity and to inform future research, clinical practice, and public health strategies.

PLoS ONEVol. 21(6)
Chulalongkorn University (TH), Chiang Mai University (TH)
Chiang Mai University
Good health and well-being
Openalex Percentile: Top 8%
Chronic Disease Management Strategies
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