Evidence map›Paper›PMID 38926751›Full record

ArticleBMC medicine2024

Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004-2019).

Shanquan Chen, Benjamin R Underwood, Rudolf N Cardinal, Xi Chen, Shu Chen, Jay Amin, Huajie Jin, Jing Huang, Christoph Mueller, Lijing L Yan and 2 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Secondary fracture risk after hip fracture in older patients: an updated sex-specific systematic review and meta analysis with GRADE and PAF assessment.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Pooled it
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  5. Article
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  7. Observational
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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

12 authors.

Shanquan ChenInternational Centre for Evidence in Disability, London, School of Hygiene & Tropical Medicine , London, WC1E 7HT, UK. shanquan.chen@lshtm.ac.uk.ORCID 0000-0002-4724-4892
Benjamin R UnderwoodDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.ORCID 0000-0003-3427-9487
Rudolf N CardinalDepartment of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.ORCID 0000-0002-8751-5167
Xi ChenSchool of Public Health, Yale University, New Haven, CT, USA.ORCID 0000-0002-2058-0351
Shu ChenThe ARC Centre of Excellence in Population Ageing Research (CEPAR), School of Risk and Actuarial Studies, University of New South Wales, Sydney, Australia.ORCID 0000-0002-1108-3863
Jay AminClinical Neurosciences, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-3792-0428
Huajie JinKing's Health Economics, Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, UK.ORCID 0000-0002-3872-3998
Jing HuangDepartment of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.ORCID 0000-0001-9697-6224
Christoph MuellerKing's College London, London, UK.ORCID 0000-0001-9816-1686
Lijing L YanInstitute for Global Health and Development, Peking University , Beijing, China.ORCID 0000-0002-3029-0462
Carol BrayneInstitute of Public Health, Forvie Site, University of Cambridge, Cambridge, CB2 2SR, UK.ORCID 0000-0001-5307-663X
Hannah KuperInternational Centre for Evidence in Disability, London, School of Hygiene & Tropical Medicine , London, WC1E 7HT, UK.ORCID 0000-0002-8952-0023

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
A Life Course Approach to Understanding Racial and Ethnic Disparities in Alzheimer's Disease and Related Dementias and Health CareR01AG077529 · NIA · YALE UNIVERSITY · PI Xi Chen · 2022 to 2026
$3.6M
Social Pension, Health, and Healthy AgingK01AG053408 · NIA · YALE UNIVERSITY · PI CHEN, XI · 2018 to 2021
$514k
NIA NIH HHS K01 AG053408NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG066508NIA NIH HHS R01 AG077529
6 · The paper itself

Abstract

backgroundInterest in modifiable risk factors (MRFs) for dementia is high, given the personal, social, and economic impact of the disorder, especially in ageing societies such as the United Kingdom. Exploring the population attributable fraction (PAF) of dementia attributable to MRFs and how this may have changed over time remains unclear. Unravelling the temporal dynamics of MRFs is crucial for informing the development of evidence-based and effective public health policies. This investigation examined the temporal trajectories of MRFs for dementia in England.

methodsWe used data from the English Longitudinal Study of Ageing, a panel study over eight waves collected between 2004 and 2019 (76,904 interviews in total). We calculated the PAFs for twelve MRFs (including six early- to mid-life factors and six late-life factors), as recommended by the Lancet Commission, and the individual weighted PAFs (IW-PAFs) for each risk factor. Temporal trends were analysed to understand the changes in the overall PAF and IW-PAF over the study period. Subgroup analyses were conducted by sex and socioeconomic status (SES).

resultsThe overall PAF for dementia MRFs changed from 46.73% in 2004/2005 to 36.79% in 2018/2019, though this trend was not statistically significant. During 2004-2019, hypertension, with an average IW-PAF of 8.21%, was the primary modifiable determinant of dementia, followed by obesity (6.16%), social isolation (5.61%), hearing loss (4.81%), depression (4.72%), low education (4.63%), physical inactivity (3.26%), diabetes mellitus (2.49%), smoking (2.0%), excessive alcohol consumption (1.16%), air pollution (0.42%), and traumatic brain injury (TBI) (0.26%). During 2004-2019, only IW-PAFs of low education, social isolation, and smoking showed significant decreasing trends, while IW-PAFs of other factors either did not change significantly or increased (including TBI, diabetes mellitus, and air pollution). Upon sex-specific disaggregation, a higher overall PAF for MRFs was found among women, predominantly associated with later-life risk factors, most notably social isolation, depression, and physical inactivity. Additionally, hearing loss, classified as an early- to mid-life factor, played a supplementary role in the identified sex disparity. A comparable discrepancy was evident upon PAF evaluation by SES, with lower income groups experiencing a higher dementia risk, largely tied to later-life factors such as social isolation, physical inactivity, depression, and smoking. Early- to mid-life factors, in particular, low education and obesity, were also observed to contribute to the SES-associated divergence in dementia risk. Temporal PAF and IW-PAF trends, stratified by sex and SES, revealed that MRF PAF gaps across sex or SES categories have persisted or increased.

conclusionsIn England, there was little change over time in the proportion of dementia attributable to known modifiable risk factors. The observed trends underscore the continuing relevance of these risk factors and the need for targeted public health strategies to address them.

Indexed as

DementiaAgedAged, 80 and overAgingEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsDementiaDisparityEnglandPopulation attributable fractionsTemporal trend

Identifiers

PMID38926751
PMCPMC11210022

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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.