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Neighborhood Spatial Social Polarization and Dementia Disparities Among U.S. Medicare Beneficiaries
Hoda S Abdel Magid, Mengya Xu. Alzheimer's & Dementia, 2025
Topic: Risk, prevention and care in population studies
SSP is a flexible and predictive neighborhood‐level measure of health disparities compared to indices like the Gini coefficient. Result Among 2.5–2.7 million beneficiaries annually, dementia prevalence declined from 9.6% in 2015 to 8.7% in 2018, despite growth in the beneficiary population. Greater neighborhood privilege (higher ICE scores) was consistently associated with lower dementia prevalence (β ∼ ‐0.04 to ‐0.06; p < 0.01). PIM simulations suggested that reducing deprivation in ICE domains could lower dementia prevalence by up to 1.9%. Conclusion Neighborhood‐level deprivation and racial segregation are associated with increased ADRD prevalence, independent of individual characteristics.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Magid, H. S. A., & Xu, M. (2025). Neighborhood Spatial Social Polarization and Dementia Disparities Among U.S. Medicare Beneficiaries. Alzheimer's & Dementia. https://doi.org/10.1002/alz70861_108433
Vancouver
Magid HSA, Xu M. Neighborhood Spatial Social Polarization and Dementia Disparities Among U.S. Medicare Beneficiaries. Alzheimer's & Dementia. 2025. doi:10.1002/alz70861_108433.
BibTeX
@article{magid2025-ded959fb,
author = {Magid, Hoda S Abdel and Xu, Mengya},
title = {{Neighborhood Spatial Social Polarization and Dementia Disparities Among U.S. Medicare Beneficiaries}},
journal = {Alzheimer's \& Dementia},
year = {2025},
doi = {10.1002/alz70861_108433},
url = {https://doi.org/10.1002/alz70861_108433}
}
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Key findings
- SSP is a flexible and predictive neighborhood‐level measure of health disparities compared to indices like the Gini coefficient.
- Result Among 2.5–2.7 million beneficiaries annually, dementia prevalence declined from 9.6% in 2015 to 8.7% in 2018, despite growth in the beneficiary population.
- Greater neighborhood privilege (higher ICE scores) was consistently associated with lower dementia prevalence (β ∼ ‐0.04 to ‐0.06; p < 0.01).
- PIM simulations suggested that reducing deprivation in ICE domains could lower dementia prevalence by up to 1.9%.
- Conclusion Neighborhood‐level deprivation and racial segregation are associated with increased ADRD prevalence, independent of individual characteristics.
Why it matters
This study found that Medicare beneficiaries living in more deprived or racially segregated neighborhoods had higher dementia prevalence, independent of individual characteristics. It does not test a treatment or cure, but it suggests that reducing neighborhood deprivation could be explored as a way to lower dementia prevalence.
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Study details
- Effect size9.6%; 8.7%; 1.9%
- Evidence strengthLow
How this study scored 32/100
Published in a leading specialty journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 31 of the 96 points we could judge it on, which is 32 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & Dementia) |
| Journal's citation record | 2 / 4 | Alzheimer s & Dementia: journal h-index 228 (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 | 2 / 3 | Effect reported as a number, without an interval or test |
| 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 | 0 / 7 | Cited 0 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 0 / 6 | Cited 0.0× 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 | 0 / 4 | Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | OpenAlex's profile for last-listed author Mengya Xu holds only 3 work(s), too few to judge a track record — left out of this score |
| Institution's track record | 2 / 3 | University of Southern California: institution h-index 1,521 (OpenAlex) |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 31 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 31 of the 96 points we could judge it on is 32 out of 100. |
| Total | 32 / 100 | — |
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