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Proportion of dementia in Australia explained by common modifiable risk factors
BACKGROUND: At present, dementia has no known cure. Interventions to delay onset and reduce prevalence of the disease are therefore focused on risk factor reduction. Previous population attributable risk estimates for western countries may have been underestimated as a result of the relatively low r...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316209/ https://www.ncbi.nlm.nih.gov/pubmed/28212674 http://dx.doi.org/10.1186/s13195-017-0238-x |
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author | Ashby-Mitchell, Kimberly Burns, Richard Shaw, Jonathan Anstey, Kaarin J. |
author_facet | Ashby-Mitchell, Kimberly Burns, Richard Shaw, Jonathan Anstey, Kaarin J. |
author_sort | Ashby-Mitchell, Kimberly |
collection | PubMed |
description | BACKGROUND: At present, dementia has no known cure. Interventions to delay onset and reduce prevalence of the disease are therefore focused on risk factor reduction. Previous population attributable risk estimates for western countries may have been underestimated as a result of the relatively low rates of midlife obesity and the lower weighting given to that variable in statistical models. METHODS: Levin’s Attributable Risk which assumes independence of risk factors was used to calculate the proportion of dementia attributable to seven modifiable risk factors (midlife obesity, physical inactivity, smoking, low educational attainment, diabetes mellitus, midlife hypertension and depression) in Australia. Using a recently published modified formula and survey data from the Australia Diabetes, Obesity and Lifestyle Study, a more realistic population attributable risk estimate which accounts for non-independence of risk factors was calculated. Finally, the effect of a 5–20% reduction in each risk factor per decade on future dementia prevalence was computed. RESULTS: Taking into consideration that risk factors do not operate independently, a more conservative estimate of 48.4% of dementia cases (117,294 of 242,500 cases) was found to be attributable to the seven modifiable lifestyle factors under study. We calculated that if each risk factor was to be reduced by 5%, 10%, 15% and 20% per decade, dementia prevalence would be reduced by between 1.6 and 7.2% in 2020, 3.3–14.9% in 2030, 4.9–22.8% in 2040 and 6.6–30.7% in 2050. CONCLUSION: Our largely theory-based findings suggest a strong case for greater investment in risk factor reduction programmes that target modifiable lifestyle factors, particularly increased engagement in physical activity. However, further data on risk factor treatment and dementia risk reduction from population-based studies are needed to investigate whether our estimates of potential dementia prevention are indeed realistic. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13195-017-0238-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5316209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53162092017-02-24 Proportion of dementia in Australia explained by common modifiable risk factors Ashby-Mitchell, Kimberly Burns, Richard Shaw, Jonathan Anstey, Kaarin J. Alzheimers Res Ther Research BACKGROUND: At present, dementia has no known cure. Interventions to delay onset and reduce prevalence of the disease are therefore focused on risk factor reduction. Previous population attributable risk estimates for western countries may have been underestimated as a result of the relatively low rates of midlife obesity and the lower weighting given to that variable in statistical models. METHODS: Levin’s Attributable Risk which assumes independence of risk factors was used to calculate the proportion of dementia attributable to seven modifiable risk factors (midlife obesity, physical inactivity, smoking, low educational attainment, diabetes mellitus, midlife hypertension and depression) in Australia. Using a recently published modified formula and survey data from the Australia Diabetes, Obesity and Lifestyle Study, a more realistic population attributable risk estimate which accounts for non-independence of risk factors was calculated. Finally, the effect of a 5–20% reduction in each risk factor per decade on future dementia prevalence was computed. RESULTS: Taking into consideration that risk factors do not operate independently, a more conservative estimate of 48.4% of dementia cases (117,294 of 242,500 cases) was found to be attributable to the seven modifiable lifestyle factors under study. We calculated that if each risk factor was to be reduced by 5%, 10%, 15% and 20% per decade, dementia prevalence would be reduced by between 1.6 and 7.2% in 2020, 3.3–14.9% in 2030, 4.9–22.8% in 2040 and 6.6–30.7% in 2050. CONCLUSION: Our largely theory-based findings suggest a strong case for greater investment in risk factor reduction programmes that target modifiable lifestyle factors, particularly increased engagement in physical activity. However, further data on risk factor treatment and dementia risk reduction from population-based studies are needed to investigate whether our estimates of potential dementia prevention are indeed realistic. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13195-017-0238-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-17 /pmc/articles/PMC5316209/ /pubmed/28212674 http://dx.doi.org/10.1186/s13195-017-0238-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Ashby-Mitchell, Kimberly Burns, Richard Shaw, Jonathan Anstey, Kaarin J. Proportion of dementia in Australia explained by common modifiable risk factors |
title | Proportion of dementia in Australia explained by common modifiable risk factors |
title_full | Proportion of dementia in Australia explained by common modifiable risk factors |
title_fullStr | Proportion of dementia in Australia explained by common modifiable risk factors |
title_full_unstemmed | Proportion of dementia in Australia explained by common modifiable risk factors |
title_short | Proportion of dementia in Australia explained by common modifiable risk factors |
title_sort | proportion of dementia in australia explained by common modifiable risk factors |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316209/ https://www.ncbi.nlm.nih.gov/pubmed/28212674 http://dx.doi.org/10.1186/s13195-017-0238-x |
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