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Find studies

Showing 1,126–1,150 of 2,174 studies in Risk factors (page 46 of 87) · 27,380 in the whole library · How the 0–100 score works

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

What “Risk factors” covers

Risk factors — Conditions, exposures and habits linked to a higher or lower chance of dementia, and how strong each link is.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

We found declining dementia incidence but increasing dementia prevalence in a sample that includes the vast majority of older adults in the United States. 3 key findings →

Participants: 1,000 Evidence: moderate

Overall, these findings highlight the generally robust, protective effect of social support on cognitive abilities in this large, diverse cohort of older adults. 5 key findings →

Participants: 2,811 Evidence: moderate

= 0.14. The effect of ADI score was also significant, β = -0.36, t = -2.30, p < .05; while the effect of RUCC, β = 0.06, t = 0.34, p = .73, and the interaction between ADI and RUCC, β = -0.001, t = 0.27, p = .99, were nonsignificant. 3 key findings →

Design: cross-sectional Participants: 114 Evidence: low

Among 5757 participants (21.7% Black, 20.3% Latinx, 58.1% AORE), we found lower odds of amyloid positivity in Black (odds ratio [OR]: 0.72, 95% confidence interval [CI]: 0.62-0.83) and Latinx (OR: 0.78, 95% CI: 0.67-0.91) compared to AORE. 4 key findings →

Participants: 5,757 Evidence: moderate

Lower objective SES was associated with poorer performance on all cognitive domains: episodic memory (β = 0.115, p = 0.003), executive function (β = 0.210, p 0.05). 5 key findings →

Design: cross-sectional Evidence: high

Higher ADI was significantly associated with increased CRP (r=0.469, p = 0.002) and TREM-1 (r=0.316, p = 0.047). 5 key findings →

Design: cross-sectional Participants: 40 Evidence: moderate

We found 5 distinct clusters of subjects (N=38, N=16, N=24, N=14, N=21) with a composition statistically independent from that obtained using available clinical diagnostic criteria (each cluster included all phenotypical groups). 3 key findings →

Participants: 20 Evidence: moderate

Loneliness moderated the relationship between national ADI scores and short-term visuospatial memory. 5 key findings →

Design: cross-sectional Participants: 136 Evidence: low

Many medical and epidemiological studies use multivariable regression to test whether several independent variables (exposures) are causal determinants of a health outcome. 4 key findings →

Evidence: low

Delirium, a severe neuropsychiatric syndrome characterised by acute deficits in attention and self-awareness, is common among elderly inpatients, with incidence increasing with age and prolonged hospitalisation. 2 key findings →

Participants: 89 Evidence: low

Older adults with Alzheimer's disease (AD) frequently present to emergency departments (EDs) with multiple coexisting conditions. 5 key findings →

Design: cross-sectional Participants: 125,461 Evidence: moderate

Bivariate analyses showed that chain grocery store shoppers reported significantly greater fruit and vegetable intake (2.42 vs. 2.14 times/day for independent grocery store shoppers, p &lt; 0.001) and lower rates of food insecurity compared to independent store shoppers (45.9% vs. 65.3% for independent grocery store shoppers, p &lt; 0.001). 5 key findings →

Design: cross-sectional Evidence: low

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Where “Free full text” comes from

Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read

How the 0–100 score works — and why some entries are capped

This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.

Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.

We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.

The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.

See the whole rubric drawn out → — four charts covering all 27,380 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.

1,032 records (3.8% of the library) are not peer-reviewed — 962 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.

See the full, machine-readable breakdown of this library's coverage →

Newest studies, as a dated timeline →    Atom feed