Evidence map›Paper›PMID 40990183›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Sociodemographic traits as early indicators of AD, FTD, and VaD up to 10 years before diagnosis.

Ave Kivisild, Iina Rinnankoski, Mikko Aaltonen, Kalle Aho, Sami Heikkinen, Adolfina Lehtonen, Laura Leppänen, Helmi Soppela, Laura Tervonen, Kaijus Ervasti and 5 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Sociodemographic traits as early indicators of AD, FTD, and VaD up to 10 years before diagnosis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ave KivisildInstitute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.
Iina RinnankoskiResearch Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland.
Mikko AaltonenLaw School, University of Eastern Finland, Joensuu, Finland.
Kalle AhoInstitute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.
Sami HeikkinenInstitute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.
Adolfina LehtonenResearch Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland.
Laura LeppänenResearch Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland.
Helmi SoppelaInstitute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.
Laura TervonenResearch Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland.
Kaijus ErvastiLaw School, University of Eastern Finland, Joensuu, Finland.
Päivi HartikainenNeuro Center-Neurology, Kuopio University Hospital, Kuopio, Finland.
Annakaisa HaapasaloA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.
Kasper KatiskoInstitute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.
Johanna KrügerResearch Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland.
Eino SoljeInstitute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to investigate early differences in sociodemographic factors before the onset of Alzheimer's disease (AD), frontotemporal dementia (FTD), vascular dementia (VaD), and mixed dementia (AD + VaD).

methodsLifetime sociodemographic factors were collected from Statistics Finland for 1238 AD, 274 FTD, 343 VaD, and 402 AD + VaD patients with a diagnosis and visit at Kuopio and Oulu University Hospitals between January 2010 and December 2021. Comparisons were performed between dementia groups and matched controls.

resultsAll patient groups showed decreased employment status compared to controls already 10 years prior to diagnosis. In particular, individuals with early-onset FTD (EOFTD; 66.9% vs. 77.6%, p < 0.01) and early-onset VaD (EOVaD; 49.0% vs. 76.5%, p < 0.001) had significantly lower employment rates than controls. Similarly, 10 years prior to diagnosis the proportion of married individuals was lower in the VaD (60.1% vs. 65.2%, p < 0.05) and EOVaD (50.0% vs. 61.6%, p < 0.05) groups versus controls, while single status was more common in early-onset AD (EOAD; 23.2% vs. 17.0%, p < 0.01) versus controls. Patients with VaD and AD + VaD had lower levels of education than controls: basic education only in 51.9% of VaD (vs. 45.0%, p < 0.05) and 65.7% of AD + VaD (vs. 60.2%, p < 0.05). DISCUSSION: Our findings may aid in the early recognition or potential risk factor evaluation for different types of dementia. Screening cognitive symptoms in individuals with unexplained long-term unemployment may help detect prodromal dementia. HIGHLIGHTS: Employment rates were already reduced 10 years before the diagnosis of Alzheimer's disease, frontotemporal dementia, and vascular dementia. The association between education level and dementia risk appears to be subtype specific. Lower employment may serve as an early "social marker" of subtle cognitive decline. Social markers could help inform models predicting progression to cognitive impairment.

Indexed as

Alzheimer DiseaseDementia, VascularFrontotemporal DementiaSociodemographic FactorsAgedEmploymentFemaleFinlandHumansMaleMiddle Agedalzheimer's diseaseeducationfrontotemporal dementiamarital statussociodemographicsvascular dementia

Identifiers

PMID40990183
PMCPMC12457979

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.