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Broadening dementia risk models: building on the 2024 Lancet Commission report for a more inclusive global framework
Cyprian Mcwayizeni Mostert, Chinedu Theresa Udeh‐Momoh, Andrea Sylvia Winkler, Connor Mclaughlin, Harris A. Eyre, Mohamed Salama, Kirti Ranchod, Dominic Trépel et al.. EBioMedicine, 2025-09-27
Topic: Risk, prevention and care in population studies
The 2024 Lancet Commission Report on dementia prevention has identified 14 modifiable risk factors that account for approximately 45% of global dementia cases. We used a global multidimensional approach that integrates gender equity considerations, poverty, wealth shocks, income inequality and HIV infection rates to identify additional risk factors beyond those reported in 2024 report. This methodological framework aims to enhance equitable prevention strategies to mitigate the global burden of dementia. We demonstrate that adding four additional risk factors: poverty, wealth shocks, income inequality, and HIV, while also considering the influences of sex and gender will improve the global applicability of the 2024 report. This is important because, despite dementia primarily affecting women, 57% of the risk factors identified in the 2024 report are more prevalent in men. Our analysis suggests that incorporating these four additional factors could potentially increase the proportion of preventable dementia cases to about 65%. This approach would also reshape the understanding of dementia risk, indicating that around 56% of modifiable risks disproportionately impact women. Expanding risk models in this manner is crucial for developing equitable and effective global dementia prevention strategies, particularly in underrepresented regions. We present these considerations as enhancements to the Commission's significant work.
Key findings
- Our analysis suggests that incorporating these four additional factors could potentially increase the proportion of preventable dementia cases to about 65%.
- We present these considerations as enhancements to the Commission's significant work.
Why it matters
This analysis proposes adding poverty, wealth shocks, income inequality, and HIV to existing dementia risk models, estimating this could raise the proportion of potentially preventable dementia cases to about 65%. These are modeled estimates of risk factors, not tested prevention strategies, so they do not show that addressing them prevents dementia.
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Study details
- Evidence strengthLow
How this study scored 49/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (EBioMedicine) |
| Journal's citation record | 2 / 4 | EBioMedicine: journal h-index 181 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 3 / 7 | Cited 39 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 13.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 5 / 6 | Cited 24.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 2 / 4 | Cited 39 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Agustín M. Ibáñez: h-index 81 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University College London: institution h-index 2,029 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 26 institution(s) in 14 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41004922) |
| Free to read | 2 / 2 | Free to read |
| Total | 49 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Mostert, C. M., Udeh‐Momoh, C. T., Winkler, A. S., Mclaughlin, C., Eyre, H. A., Salama, M., et al. (2025). Broadening dementia risk models: building on the 2024 Lancet Commission report for a more inclusive global framework. EBioMedicine. https://doi.org/10.1016/j.ebiom.2025.105950
Vancouver
Mostert CM, Udeh‐Momoh CT, Winkler AS, Mclaughlin C, Eyre HA, Salama M, et al. Broadening dementia risk models: building on the 2024 Lancet Commission report for a more inclusive global framework. EBioMedicine. 2025. doi:10.1016/j.ebiom.2025.105950. PMID: 41004922.
BibTeX
@article{mostert2025-41004922,
author = {Mostert, Cyprian Mcwayizeni and Udeh‐Momoh, Chinedu Theresa and Winkler, Andrea Sylvia and Mclaughlin, Connor and Eyre, Harris A. and Salama, Mohamed and Ranchod, Kirti and Trépel, Dominic and others},
title = {{Broadening dementia risk models: building on the 2024 Lancet Commission report for a more inclusive global framework}},
journal = {EBioMedicine},
year = {2025},
doi = {10.1016/j.ebiom.2025.105950},
pmid = {41004922},
url = {https://doi.org/10.1016/j.ebiom.2025.105950}
}
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