Cargando…
Estimation of dementia prevalence at the local level in the United States
INTRODUCTION: Ensuring adequate and equitable distribution of resources to support persons living with dementia relies on understanding the burden and distribution of dementia in a population. Our goal was to develop an approach to estimate dementia prevalence at the local level in the United States...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719342/ https://www.ncbi.nlm.nih.gov/pubmed/35005210 http://dx.doi.org/10.1002/trc2.12237 |
_version_ | 1784624917314011136 |
---|---|
author | Bennett, Erin E. Kwan, Abraham Gianattasio, Kan Z. Engelman, Brittany Dowling, N. Maritza Power, Melinda C. |
author_facet | Bennett, Erin E. Kwan, Abraham Gianattasio, Kan Z. Engelman, Brittany Dowling, N. Maritza Power, Melinda C. |
author_sort | Bennett, Erin E. |
collection | PubMed |
description | INTRODUCTION: Ensuring adequate and equitable distribution of resources to support persons living with dementia relies on understanding the burden and distribution of dementia in a population. Our goal was to develop an approach to estimate dementia prevalence at the local level in the United States using publicly available data. METHODS: Our approach combines publicly available data on dementia prevalence and demographic data from the US Census to estimate dementia prevalence. We illustrate this approach by estimating dementia prevalence in persons aged 65 and older in Philadelphia, PA; Chicago, IL; and Atlanta, GA. RESULTS: Overall, we estimate the prevalence of dementia among those 65 and older to be 11.9% in Philadelphia, 11.8% Chicago, and 12.3% in Atlanta. Estimates across Philadelphia localities vary from 9.3% to 15.9%. DISCUSSION: Our approach provides a cost‐effective method to generate estimates of dementia prevalence at the local level. HIGHLIGHTS: Brain health needs assessments require understanding of local dementia prevalence. Our approach can be used to estimate dementia prevalence in individual communities. This information can inform decisions about distribution of resources. |
format | Online Article Text |
id | pubmed-8719342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87193422022-01-07 Estimation of dementia prevalence at the local level in the United States Bennett, Erin E. Kwan, Abraham Gianattasio, Kan Z. Engelman, Brittany Dowling, N. Maritza Power, Melinda C. Alzheimers Dement (N Y) Research Articles INTRODUCTION: Ensuring adequate and equitable distribution of resources to support persons living with dementia relies on understanding the burden and distribution of dementia in a population. Our goal was to develop an approach to estimate dementia prevalence at the local level in the United States using publicly available data. METHODS: Our approach combines publicly available data on dementia prevalence and demographic data from the US Census to estimate dementia prevalence. We illustrate this approach by estimating dementia prevalence in persons aged 65 and older in Philadelphia, PA; Chicago, IL; and Atlanta, GA. RESULTS: Overall, we estimate the prevalence of dementia among those 65 and older to be 11.9% in Philadelphia, 11.8% Chicago, and 12.3% in Atlanta. Estimates across Philadelphia localities vary from 9.3% to 15.9%. DISCUSSION: Our approach provides a cost‐effective method to generate estimates of dementia prevalence at the local level. HIGHLIGHTS: Brain health needs assessments require understanding of local dementia prevalence. Our approach can be used to estimate dementia prevalence in individual communities. This information can inform decisions about distribution of resources. John Wiley and Sons Inc. 2021-12-31 /pmc/articles/PMC8719342/ /pubmed/35005210 http://dx.doi.org/10.1002/trc2.12237 Text en © 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Bennett, Erin E. Kwan, Abraham Gianattasio, Kan Z. Engelman, Brittany Dowling, N. Maritza Power, Melinda C. Estimation of dementia prevalence at the local level in the United States |
title | Estimation of dementia prevalence at the local level in the United States |
title_full | Estimation of dementia prevalence at the local level in the United States |
title_fullStr | Estimation of dementia prevalence at the local level in the United States |
title_full_unstemmed | Estimation of dementia prevalence at the local level in the United States |
title_short | Estimation of dementia prevalence at the local level in the United States |
title_sort | estimation of dementia prevalence at the local level in the united states |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719342/ https://www.ncbi.nlm.nih.gov/pubmed/35005210 http://dx.doi.org/10.1002/trc2.12237 |
work_keys_str_mv | AT bennetterine estimationofdementiaprevalenceatthelocallevelintheunitedstates AT kwanabraham estimationofdementiaprevalenceatthelocallevelintheunitedstates AT gianattasiokanz estimationofdementiaprevalenceatthelocallevelintheunitedstates AT engelmanbrittany estimationofdementiaprevalenceatthelocallevelintheunitedstates AT dowlingnmaritza estimationofdementiaprevalenceatthelocallevelintheunitedstates AT powermelindac estimationofdementiaprevalenceatthelocallevelintheunitedstates |