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Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study
BACKGROUND: The American Heart Association Life's Simple 7 metric defines ideal cardiovascular health (CVH) on 7 factors: smoking, diet, physical activity, body mass index, blood sugar, blood pressure, and cholesterol. This metric has been used to define optimal brain health, but data relative...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201403/ https://www.ncbi.nlm.nih.gov/pubmed/30369305 http://dx.doi.org/10.1161/JAHA.118.009544 |
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author | Gardener, Hannah Caunca, Michelle Dong, Chuanhui Cheung, Ying Kuen Alperin, Noam Rundek, Tatjana Elkind, Mitchell S. V. Wright, Clinton B. Sacco, Ralph L. |
author_facet | Gardener, Hannah Caunca, Michelle Dong, Chuanhui Cheung, Ying Kuen Alperin, Noam Rundek, Tatjana Elkind, Mitchell S. V. Wright, Clinton B. Sacco, Ralph L. |
author_sort | Gardener, Hannah |
collection | PubMed |
description | BACKGROUND: The American Heart Association Life's Simple 7 metric defines ideal cardiovascular health (CVH) on 7 factors: smoking, diet, physical activity, body mass index, blood sugar, blood pressure, and cholesterol. This metric has been used to define optimal brain health, but data relative to subclinical imaging biomarkers of brain aging are lacking. This study examines the association between Life's Simple 7 with white matter hyperintensity volume, silent brain infarcts, and cerebral volume. METHODS AND RESULTS: A subsample of stroke‐free participants from the population‐based Northern Manhattan Study underwent brain magnetic resonance imaging an average of 7 years after baseline. Linear and logistic regression models were constructed to estimate associations between the number of ideal CVH metrics achieved with imaging biomarkers of brain aging, adjusting for sociodemographics. Among 1031 participants (mean age at magnetic resonance imaging=72±8, 40% men, 19% black, 16% white, and 65% Hispanic), no one had ideal status in all 7 factors, 1% had ideal status in 6 factors, 18% in 4 to 5 factors, 30% in 3 factors, 33% in 2 factors, and 18% in 0 to 1 factors. The number of ideal CVH factors achieved was inversely associated with white matter hyperintensity volume (beta per factor=−0.047; P=0.04) and silent brain infarct (odds ratio per factor=0.84; 95% confidence interval=0.72–0.97) and positively associated with cerebral volume (beta per factor=0.300; P=0.002). CONCLUSIONS: An increasing ideal CVH score was associated with less white matter hyperintensity volume and silent brain infarcts and greater cerebral volumes, supporting the Life's Simple 7 metric as a useful measure to quantify optimal brain health. Monitoring and promoting achievement of Life's Simple 7 ideal CVH factors may improve subclinical and clinical brain health outcomes. |
format | Online Article Text |
id | pubmed-6201403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62014032018-10-31 Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study Gardener, Hannah Caunca, Michelle Dong, Chuanhui Cheung, Ying Kuen Alperin, Noam Rundek, Tatjana Elkind, Mitchell S. V. Wright, Clinton B. Sacco, Ralph L. J Am Heart Assoc Original Research BACKGROUND: The American Heart Association Life's Simple 7 metric defines ideal cardiovascular health (CVH) on 7 factors: smoking, diet, physical activity, body mass index, blood sugar, blood pressure, and cholesterol. This metric has been used to define optimal brain health, but data relative to subclinical imaging biomarkers of brain aging are lacking. This study examines the association between Life's Simple 7 with white matter hyperintensity volume, silent brain infarcts, and cerebral volume. METHODS AND RESULTS: A subsample of stroke‐free participants from the population‐based Northern Manhattan Study underwent brain magnetic resonance imaging an average of 7 years after baseline. Linear and logistic regression models were constructed to estimate associations between the number of ideal CVH metrics achieved with imaging biomarkers of brain aging, adjusting for sociodemographics. Among 1031 participants (mean age at magnetic resonance imaging=72±8, 40% men, 19% black, 16% white, and 65% Hispanic), no one had ideal status in all 7 factors, 1% had ideal status in 6 factors, 18% in 4 to 5 factors, 30% in 3 factors, 33% in 2 factors, and 18% in 0 to 1 factors. The number of ideal CVH factors achieved was inversely associated with white matter hyperintensity volume (beta per factor=−0.047; P=0.04) and silent brain infarct (odds ratio per factor=0.84; 95% confidence interval=0.72–0.97) and positively associated with cerebral volume (beta per factor=0.300; P=0.002). CONCLUSIONS: An increasing ideal CVH score was associated with less white matter hyperintensity volume and silent brain infarcts and greater cerebral volumes, supporting the Life's Simple 7 metric as a useful measure to quantify optimal brain health. Monitoring and promoting achievement of Life's Simple 7 ideal CVH factors may improve subclinical and clinical brain health outcomes. John Wiley and Sons Inc. 2018-08-16 /pmc/articles/PMC6201403/ /pubmed/30369305 http://dx.doi.org/10.1161/JAHA.118.009544 Text en © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Gardener, Hannah Caunca, Michelle Dong, Chuanhui Cheung, Ying Kuen Alperin, Noam Rundek, Tatjana Elkind, Mitchell S. V. Wright, Clinton B. Sacco, Ralph L. Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study |
title | Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study |
title_full | Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study |
title_fullStr | Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study |
title_full_unstemmed | Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study |
title_short | Ideal Cardiovascular Health and Biomarkers of Subclinical Brain Aging: The Northern Manhattan Study |
title_sort | ideal cardiovascular health and biomarkers of subclinical brain aging: the northern manhattan study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201403/ https://www.ncbi.nlm.nih.gov/pubmed/30369305 http://dx.doi.org/10.1161/JAHA.118.009544 |
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