Evidence map›Paper›PMID 41390639›Full record

ArticleBMC public health2025

Variation in real world dementia risk profiles according to demographic characteristics in 6171 adults drawn from the Australian CogDrisk website.

Kaarin J Anstey, Md Hamidul Huque, Ranmalee Eramudugolla, Meiwei Li, Marita Long, Scherazad Kootar, Michael Cartwright, Claire Mc O'Connor, Jeromey Temple

Abstract read
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In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Kaarin J AnsteySchool of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia. k.anstey@unsw.edu.au.
Md Hamidul HuqueSchool of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia.
Ranmalee EramudugollaSchool of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia.
Meiwei LiSchool of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia.
Marita LongDepartment of General Practice and Primary Care, University of Melbourne, Parkville, VIC, Australia.
Scherazad KootarClinical Research Centre, The Sydney Children's Hospital Network, Westmead, NSW, Australia.
Michael CartwrightNeuroscience Research Australia, Randwick, NSW, Australia.
Claire Mc O'ConnorSchool of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia.
Jeromey TempleMelbourne School of Population and Global Health, University of Melbourne, Carlton, VIC, Australia.

Funding

Australian Research Council FL190100011
6 · The paper itself

Abstract

backgroundWe aimed to evaluate differences in dementia risk profiles according to age, birthplace and First Nations status.

methodsThe sample included 6171 (62% female, < 1% non-binary/other) middle-aged and older adults who self-administered the CogDrisk assessment online and consented to their data being used for research from May 2023 to May 2024. The majority were aged 40–64 (‘midlife’; 67.9%) or aged 65–96 (‘later-life’; 25.8%); 6.3% were aged 18–40. More than a third (36.2%) were born overseas, 95% resided in Australia, and 66.0% had a university degree.

resultsKey midlife risk factors were hypertension 27.7%, pesticide exposure 24.6%, high cholesterol 25.1%, head injury 15.3%, diabetes 7.6%, and atrial fibrillation (AFib) 7.3%. Key later-life risk factors were hypertension 45.4%, pesticide exposure 33.0%, AFib 18.3% head injury 16.4%, and diabetes 11.7%. Midlife respondents born in the Pacific and New Zealand (NZ) had high rates of vascular risk factors and those born in NZ reported high rates of head injury and depression. The highest rates of heavy drinking and insufficient physical activity were reported by respondents born in the UK and Asia respectively. Using published estimates from validation studies, 20% of those aged 65 + had a high dementia risk (CogDrisk score > 12).

conclusionsHigh rates of multiple risk factors were identified and varied according to age group and birthplace. This study provides evidence for tailoring risk reduction intervention and advice by age and birthplace.

Indexed as

DementiaAdolescentAdultAgedAged, 80 and overAge FactorsAustraliaFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsYoung AdultCommunity settingCountry of birthDementiaRisk factorsRisk profiles

Identifiers

PMID41390639
PMCPMC12821871

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LicenceCC BY-NC-ND
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Registered trials

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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.