Evidence map›Paper›PMID 39809612›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Preventing dementia in Italy: Estimations of modifiable risk factors and public health implications.

Federica Asta, Guido Bellomo, Benedetta Contoli, Flavia L Lombardo, Valentina Minardi, Simone Salemme, Nicola Vanacore, Maria Masocco

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Article in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

8 authors.

Federica AstaNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.
Guido BellomoNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy. Electronic address: guido.bellomo@iss.it.
Benedetta ContoliNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.
Flavia L LombardoNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.
Valentina MinardiNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.
Simone SalemmeDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia - Via Università 4, 4112 Modena, Italy; International School of Advanced Studies, University of Camerino - Piazza Cavour 19/f, 62032, Camerino, Italy.
Nicola VanacoreNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.
Maria MasoccoNational Center for Disease Prevention and Health Promotion, Italian National Institute of Health Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia is a major global public health challenge, with over 50 million cases in 2020, projected to reach 152 million by 2050. Effective prevention strategies are needed to reduce the impact of modifiable risk factors associated with dementia, particularly in countries with ageing populations like Italy. The Population Attributable Fraction (PAF) and Potential Impact Fraction (PIF) are key metrics for understanding and reducing dementia cases through targeted interventions.

objectivesThis study aimed to revise and expand PAF estimates for dementia in Italy, integrate them with PIF calculations, and assess the alignment of regional health policies with these risk factors. Additionally, the study explored regional variations in PAFs and evaluated the potential for reducing dementia incidence through feasible public health interventions.

designA cross-sectional analysis was conducted using data from two national public health surveillance systems, PASSI and PASSI d'Argento (PdA), to estimate PAFs and PIFs for dementia at both national and regional levels. The study used data collected between 2017 and 2019.

settingData were drawn from 19 Italian regions and two autonomous provinces, providing national and subnational estimates of modifiable risk factors for dementia.

participantsThe study population included a nationally representative sample of 86,494 individuals aged 18-64 (PASSI) and 48,516 individuals aged 65 and older (PdA). MEASUREMENTS: PAFs were calculated for 11 of the 12 modifiable risk factors identified by the Lancet Commission in 2021, with data from the PASSI and PdA systems. PIFs were calculated to estimate the potential reduction in dementia cases under different intervention scenarios. Regional variations in PAFs were assessed and aligned with health policies outlined in the Regional Prevention Plans.

resultsThe national combined PAF for 11 modifiable risk factors was 39.6 % (95 % CI: 20.8-55.9). Midlife hypertension and physical inactivity were the most significant contributors, accounting for 12.3 % of the total PAF. Cardiovascular risk factors collectively explained over 50 % of preventable dementia cases. Regional PAFs ranged from 31.7 % to 47.5 %, with a clear north-south gradient; southern regions exhibited higher PAFs due to cardiovascular factors. Despite broad consistency between national and regional PAFs, significant variability was found in how regions addressed risk factors, particularly air pollution. At the national level, a 10 % reduction in risk factors would prevent 54,495 dementia cases, with subnational PIFs ranging from 3.7 % to 6.0 %.

conclusionsThis study highlights the substantial potential for dementia prevention in Italy through targeted public health interventions. However, significant regional disparities in PAFs and the alignment of health policies underscore the need for a more nuanced, regionally tailored approach. Future strategies should integrate both PAF and PIF to maximize the impact of interventions, particularly in addressing cardiovascular risk factors. These findings can guide the development of evidence-based policies to reduce dementia incidence across Italy.

Indexed as

Dementia preventionNoncommunicable diseasesPublic healthRisk factorsSurveillance systems

Identifiers

PMID39809612
PMCPMC12183937

What OpenQuestion holds

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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.