Evidence map›Paper›PMID 40853079›Full record

ArticleFuture science OA2025

Lower birth rate, greater female dementia risk: global and regional patterns and public health implications.

Wenpeng You

Abstract read
In one paragraph

Article in Future science OA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Wenpeng YouAdelaide Medical School, The University of Adelaide, Adelaide, Australia.ORCID 0000-0002-6229-1064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study investigates the relationship between national birth rate and female dementia incidence globally, considering demographic and socioeconomic confounders. MATERIALS &

methodsData from 204 countries were analyzed using bivariate correlation, partial correlation, principal component analysis, and multiple linear regression. Female dementia incidence rate (FDIR) was the dependent variable. Birth rate served as the main predictor, with ageing (life expectancy), genetic predisposition (Biological State Index), economic affluence (GDP PPP), and urban living as confounders.

resultsBirth rate demonstrated a significant inverse correlation with female dementia incidence (Pearson's

conclusionsLower birth rates were strongly associated with higher female dementia incidence globally. Birth rate should be considered a critical demographic factor in dementia risk prediction and public health planning, particularly in ageing and low-resource settings.

Indexed as

Birth ratefamily sizefemale dementia incidence rateglobal healthpredictive influence

Identifiers

PMID40853079
PMCPMC12380215

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LicenceCC BY-NC
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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.