Depression and Risk of Dementia: A Burden of Proof Study
Channa Buxbaum, Natalie Chen, Anh Thy Nguyen, Jamileh Shadid, Kate Gillespie, Damian Santomauro, Liane Ong, Jaimie Steinmetz

TL;DR
This study examines how depression may increase dementia risk, finding that inconsistent measurement methods affect the strength of the observed link.
Contribution
The study applies the Burden of Proof framework to clarify the depression-dementia relationship while addressing measurement variability.
Findings
A moderate-to-strong association between depression and dementia was found (RR = 1.54).
Using gold-standard depression measures reduced the estimated association (RR = 1.26).
Inconsistent depression measurement methods can alter perceived dementia risk.
Abstract
Depression is widely considered a risk factor for dementia, yet its precise relationship remains difficult to quantify due to substantial variability in measurement approaches across studies. In the Global Burden of Disease (GBD) study, we estimate that the number of people living with a depressive disorder globally has more than doubled from 1990 to 2024, now affecting approximately 307 million people. Given its growing burden, clarifying its role in dementia risk is imperative. To address this, we applied the Burden of Proof framework, developed for the GBD study, to adjust for systematic biases and account for heterogeneity. We conducted a systematic review and meta-analysis of longitudinal studies in PubMed, Web of Science, and PsycInfo published between 2012–2024, building on a prior meta-analysis covering 1980–2012. Of 9,625 references, 41 met eligibility criteria, with 18…
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Taxonomy
TopicsDementia and Cognitive Impairment Research · Mental Health via Writing · Mental Health Research Topics
