Potentially modifiable risk factors for dementia putting the evidence together: Total population attributable fraction

Abstract Background Our authors from around the world met to summarise the available knowledge, decide which potentially modifiable risk factors for dementia have compelling evidence and create the most comprehensive analysis to date for potentially modifiable risk factors to inform policy, give individuals the opportunity to control their risks and generate research. Method We incorporated all risk factors for which we judged there was strong enough evidence. We used the largest recent worldwide meta‐analyses for risk factor prevalence and relative risk and if not available the best data. We performed new meta‐analyses for depression and hearing loss relative risks. We used all 37,000 participants aged ≥ 45 years from HUNT, Norwegian longitudinal population‐based study, to estimate communalities (risk factors clustering) as people frequently have multiple risk factors. Four principal components explained 51% of total risk factors variance. We then calculated weighted population attributable fraction (PAF) estimates. Result We will present each potentially modifiable dementia risk factor’s prevalence, communality, relative risk, unweighted and weighted PAFs and our new lifecourse infographic. Conclusion Our results give hope suggesting many dementias can be prevented or delayed. Many risk factors are linked to deprivation, for example, where people live and exposure to air pollution, or finding affordable healthy food within walking distance and having the resources and skills to prepare it. We have more evidence that longer exposure to a risk has more effect, for example in diabetes, and that risks have more effect in otherwise vulnerable people, for example air pollution. Thus, it is important to redouble efforts to treat existing conditions in communities and people with multiple risks where approaches beyond individual treatment or behaviour change have potentially larger impact. While association is not causation, the effect on cognition of multicomponent, hearing aid and hypertensions RCTs, and naturalistic changes with reduction in air pollution, cigarette smoking, social contact, hearing and vision corrections and work cognitive stimulation, continue to suggest causal relationships with dementia. Socially disadvantaged groups in all countries are more at risk and should be prioritised for intervention. There is more evidence that risks are also modifiable for people at increased genetic risk.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.085063
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Potentially modifiable risk factors for dementia putting the evidence together: Total population attributable fraction

Laura N. Gitlin, Suvarna Alladi, Noeline Nakasujja, Kenneth J. Rockwood et al.
Alzheimer s & Dementia
Healthcare Systems and Public Health
article

Potentially modifiable risk factors for dementia putting the evidence together: Total population attributable fraction

Laura N. Gitlin, Suvarna Alladi, Noeline Nakasujja, Kenneth J. Rockwood, Geir Selbæk, Sebastian Walsh, Nick C. Fox, Quincy M. Samus, Alistair Burns, Mika Kivimaki B, Sube Banerjee, Robert Howard, Cleusa P. Ferri, Lon S. Schneider, Archana Singh‐Manoux, Gill Livingston, Jonathan Huntley, Helen C. Kales, Kathy Liu, Andrew Sommerlad, Carol Brayne, Naaheed Mukadam, Sergi Costafreda Gonzalez, Yao Yao, Kokoro Shirai, Eric B. Larson, David Ames
article en

Abstract

Abstract Background Our authors from around the world met to summarise the available knowledge, decide which potentially modifiable risk factors for dementia have compelling evidence and create the most comprehensive analysis to date for potentially modifiable risk factors to inform policy, give individuals the opportunity to control their risks and generate research. Method We incorporated all risk factors for which we judged there was strong enough evidence. We used the largest recent worldwide meta‐analyses for risk factor prevalence and relative risk and if not available the best data. We performed new meta‐analyses for depression and hearing loss relative risks. We used all 37,000 participants aged ≥ 45 years from HUNT, Norwegian longitudinal population‐based study, to estimate communalities (risk factors clustering) as people frequently have multiple risk factors. Four principal components explained 51% of total risk factors variance. We then calculated weighted population attributable fraction (PAF) estimates. Result We will present each potentially modifiable dementia risk factor’s prevalence, communality, relative risk, unweighted and weighted PAFs and our new lifecourse infographic. Conclusion Our results give hope suggesting many dementias can be prevented or delayed. Many risk factors are linked to deprivation, for example, where people live and exposure to air pollution, or finding affordable healthy food within walking distance and having the resources and skills to prepare it. We have more evidence that longer exposure to a risk has more effect, for example in diabetes, and that risks have more effect in otherwise vulnerable people, for example air pollution. Thus, it is important to redouble efforts to treat existing conditions in communities and people with multiple risks where approaches beyond individual treatment or behaviour change have potentially larger impact. While association is not causation, the effect on cognition of multicomponent, hearing aid and hypertensions RCTs, and naturalistic changes with reduction in air pollution, cigarette smoking, social contact, hearing and vision corrections and work cognitive stimulation, continue to suggest causal relationships with dementia. Socially disadvantaged groups in all countries are more at risk and should be prioritised for intervention. There is more evidence that risks are also modifiable for people at increased genetic risk.

Alzheimer s & DementiaVol. 20(S4)
Dalhousie University (CA), University of Nottingham (GB), Johns Hopkins University (US), Inserm (FR), The University of Melbourne (AU), University of Oslo (NO), University of Washington (US), Peking University (CN), Université Paris Cité (FR), University of Exeter (GB), University of Cambridge (GB), Keck Hospital of USC (US), University of Manchester (GB), Cambridge University Health Partners (GB), University College London (GB), National Institute of Mental Health and Neurosciences (IN), Makerere University (UG), Drexel University (US), University of California, Davis (US), Universidade Federal de São Paulo (BR), Camden and Islington NHS Foundation Trust (GB), The University of Osaka (JP)
Openalex Percentile: Top 63%
Healthcare Systems and Public Health
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