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Geospatial analysis of dementia mortality and its associations with demographic and socioeconomic factors
Farnoosh Roozkhosh, Xiaobai Angela Yao, Hao Yang, Suhang Song, Tianming Liu. Journal of Alzheimer s Disease Reports, 2024-01-01
Topic: Risk, prevention and care in population studies
Background Dementia is a significant health concern among older people, necessitating an understanding of its spatial distribution and its ties to demographic and socioeconomic factors. Objective This study examines the spatial pattern of dementia mortality across U.S. counties and investigates its associations with relevant demographic and socioeconomic variables. Methods We analyzed 2019 county-level dementia mortality data for people aged 60 and older in U.S. counties. Using geospatial techniques, we examined the relationships between dementia mortality and pertinent demographic and socioeconomic factors. It is worth noting that 40.31% of the U.S. counties were dropped due to missing data. Results Dementia mortality rates varied geographically, with clusters of high rates in the South, Midwest, and Maine. Across the nation, the median income of a county was found to have a significant negative effect on dementia mortality, while the percentage of persons 60 years and older was positively associated in most areas except the West Coast. Race did not appear to be significantly associated in most areas but was found significant in the New England area and some counties in the Midwest. The percentage of rural population was also only significant in selected regions, mostly the Northeast and Florida. Conclusions This study highlights diverse links between dementia mortality and demographic and socioeconomic factors at the county level in the United States. Understanding these connections, considering spatial variations and scales, is crucial for tailored strategies to address dementia disparities nationwide. Geographically weighted models are valuable for analyzing such spatial data in future research.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Roozkhosh, F., Yao, X. A., Yang, H., Song, S., & Liu, T. (2024). Geospatial analysis of dementia mortality and its associations with demographic and socioeconomic factors. Journal of Alzheimer s Disease Reports. https://doi.org/10.3233/adr-240107
Vancouver
Roozkhosh F, Yao XA, Yang H, Song S, Liu T. Geospatial analysis of dementia mortality and its associations with demographic and socioeconomic factors. Journal of Alzheimer s Disease Reports. 2024. doi:10.3233/adr-240107.
BibTeX
@article{roozkhosh2024-35a6b3bf,
author = {Roozkhosh, Farnoosh and Yao, Xiaobai Angela and Yang, Hao and Song, Suhang and Liu, Tianming},
title = {{Geospatial analysis of dementia mortality and its associations with demographic and socioeconomic factors}},
journal = {Journal of Alzheimer s Disease Reports},
year = {2024},
doi = {10.3233/adr-240107},
url = {https://doi.org/10.3233/adr-240107}
}
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Key findings
- Background Dementia is a significant health concern among older people, necessitating an understanding of its spatial distribution and its ties to demographic and socioeconomic factors.
- Results Dementia mortality rates varied geographically, with clusters of high rates in the South, Midwest, and Maine.
- Across the nation, the median income of a county was found to have a significant negative effect on dementia mortality, while the percentage of persons 60 years and older was positively associated in most areas except the West Coast.
- Race did not appear to be significantly associated in most areas but was found significant in the New England area and some counties in the Midwest.
- The percentage of rural population was also only significant in selected regions, mostly the Northeast and Florida.
Why it matters
This county-level analysis found that dementia mortality rates varied geographically, with clusters of high rates in the South, Midwest, and Maine, and that county median income had a significant negative effect on dementia mortality. The study is about spatial patterns and demographic and socioeconomic associations with dementia mortality, not about treating, curing, or preventing Alzheimer's disease.
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Study details
- Participants2,019
- Effect size40.31%
- Evidence strengthLow
How this study scored 40/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of Alzheimer s Disease Reports) |
| Journal's citation record | 0 / 4 | Journal of Alzheimer s Disease Reports: journal h-index 40 (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 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 3 / 4 | 2,019 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 1 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.2 citations a year over 4 year(s) since 2024 |
| Impact for its field and year | 1 / 6 | Cited 0.3× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 1 other studies in this library |
| Still being cited | 0 / 4 | Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Tianming Liu: h-index 66 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Georgia: institution h-index 904 (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 | 2 / 2 | Free to read |
| Total | 40 / 100 | — |
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