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The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis

BACKGROUND: The effects of systolic blood pressure (SBP), serum total cholesterol (TC), fasting plasma glucose (FPG), and body mass index (BMI) on the risk of cardiovascular diseases (CVD) have been established in epidemiological studies, but consistent estimates of effect sizes by age and sex are n...

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Autores principales: Singh, Gitanjali M., Danaei, Goodarz, Farzadfar, Farshad, Stevens, Gretchen A., Woodward, Mark, Wormser, David, Kaptoge, Stephen, Whitlock, Gary, Qiao, Qing, Lewington, Sarah, Di Angelantonio, Emanuele, vander Hoorn, Stephen, Lawes, Carlene M. M., Ali, Mohammed K., Mozaffarian, Dariush, Ezzati, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3728292/
https://www.ncbi.nlm.nih.gov/pubmed/23935815
http://dx.doi.org/10.1371/journal.pone.0065174
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author Singh, Gitanjali M.
Danaei, Goodarz
Farzadfar, Farshad
Stevens, Gretchen A.
Woodward, Mark
Wormser, David
Kaptoge, Stephen
Whitlock, Gary
Qiao, Qing
Lewington, Sarah
Di Angelantonio, Emanuele
vander Hoorn, Stephen
Lawes, Carlene M. M.
Ali, Mohammed K.
Mozaffarian, Dariush
Ezzati, Majid
author_facet Singh, Gitanjali M.
Danaei, Goodarz
Farzadfar, Farshad
Stevens, Gretchen A.
Woodward, Mark
Wormser, David
Kaptoge, Stephen
Whitlock, Gary
Qiao, Qing
Lewington, Sarah
Di Angelantonio, Emanuele
vander Hoorn, Stephen
Lawes, Carlene M. M.
Ali, Mohammed K.
Mozaffarian, Dariush
Ezzati, Majid
author_sort Singh, Gitanjali M.
collection PubMed
description BACKGROUND: The effects of systolic blood pressure (SBP), serum total cholesterol (TC), fasting plasma glucose (FPG), and body mass index (BMI) on the risk of cardiovascular diseases (CVD) have been established in epidemiological studies, but consistent estimates of effect sizes by age and sex are not available. METHODS: We reviewed large cohort pooling projects, evaluating effects of baseline or usual exposure to metabolic risks on ischemic heart disease (IHD), hypertensive heart disease (HHD), stroke, diabetes, and, as relevant selected other CVDs, after adjusting for important confounders. We pooled all data to estimate relative risks (RRs) for each risk factor and examined effect modification by age or other factors, using random effects models. RESULTS: Across all risk factors, an average of 123 cohorts provided data on 1.4 million individuals and 52,000 CVD events. Each metabolic risk factor was robustly related to CVD. At the baseline age of 55–64 years, the RR for 10 mmHg higher SBP was largest for HHD (2.16; 95% CI 2.09–2.24), followed by effects on both stroke subtypes (1.66; 1.39–1.98 for hemorrhagic stroke and 1.63; 1.57–1.69 for ischemic stroke). In the same age group, RRs for 1 mmol/L higher TC were 1.44 (1.29–1.61) for IHD and 1.20 (1.15–1.25) for ischemic stroke. The RRs for 5 kg/m(2) higher BMI for ages 55–64 ranged from 2.32 (2.04–2.63) for diabetes, to 1.44 (1.40–1.48) for IHD. For 1 mmol/L higher FPG, RRs in this age group were 1.18 (1.08–1.29) for IHD and 1.14 (1.01–1.29) for total stroke. For all risk factors, proportional effects declined with age, were generally consistent by sex, and differed by region in only a few age groups for certain risk factor-disease pairs. CONCLUSION: Our results provide robust, comparable and precise estimates of the effects of major metabolic risk factors on CVD and diabetes by age group.
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spelling pubmed-37282922013-08-09 The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis Singh, Gitanjali M. Danaei, Goodarz Farzadfar, Farshad Stevens, Gretchen A. Woodward, Mark Wormser, David Kaptoge, Stephen Whitlock, Gary Qiao, Qing Lewington, Sarah Di Angelantonio, Emanuele vander Hoorn, Stephen Lawes, Carlene M. M. Ali, Mohammed K. Mozaffarian, Dariush Ezzati, Majid PLoS One Research Article BACKGROUND: The effects of systolic blood pressure (SBP), serum total cholesterol (TC), fasting plasma glucose (FPG), and body mass index (BMI) on the risk of cardiovascular diseases (CVD) have been established in epidemiological studies, but consistent estimates of effect sizes by age and sex are not available. METHODS: We reviewed large cohort pooling projects, evaluating effects of baseline or usual exposure to metabolic risks on ischemic heart disease (IHD), hypertensive heart disease (HHD), stroke, diabetes, and, as relevant selected other CVDs, after adjusting for important confounders. We pooled all data to estimate relative risks (RRs) for each risk factor and examined effect modification by age or other factors, using random effects models. RESULTS: Across all risk factors, an average of 123 cohorts provided data on 1.4 million individuals and 52,000 CVD events. Each metabolic risk factor was robustly related to CVD. At the baseline age of 55–64 years, the RR for 10 mmHg higher SBP was largest for HHD (2.16; 95% CI 2.09–2.24), followed by effects on both stroke subtypes (1.66; 1.39–1.98 for hemorrhagic stroke and 1.63; 1.57–1.69 for ischemic stroke). In the same age group, RRs for 1 mmol/L higher TC were 1.44 (1.29–1.61) for IHD and 1.20 (1.15–1.25) for ischemic stroke. The RRs for 5 kg/m(2) higher BMI for ages 55–64 ranged from 2.32 (2.04–2.63) for diabetes, to 1.44 (1.40–1.48) for IHD. For 1 mmol/L higher FPG, RRs in this age group were 1.18 (1.08–1.29) for IHD and 1.14 (1.01–1.29) for total stroke. For all risk factors, proportional effects declined with age, were generally consistent by sex, and differed by region in only a few age groups for certain risk factor-disease pairs. CONCLUSION: Our results provide robust, comparable and precise estimates of the effects of major metabolic risk factors on CVD and diabetes by age group. Public Library of Science 2013-07-30 /pmc/articles/PMC3728292/ /pubmed/23935815 http://dx.doi.org/10.1371/journal.pone.0065174 Text en © 2013 Singh et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Singh, Gitanjali M.
Danaei, Goodarz
Farzadfar, Farshad
Stevens, Gretchen A.
Woodward, Mark
Wormser, David
Kaptoge, Stephen
Whitlock, Gary
Qiao, Qing
Lewington, Sarah
Di Angelantonio, Emanuele
vander Hoorn, Stephen
Lawes, Carlene M. M.
Ali, Mohammed K.
Mozaffarian, Dariush
Ezzati, Majid
The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
title The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
title_full The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
title_fullStr The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
title_full_unstemmed The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
title_short The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis
title_sort age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3728292/
https://www.ncbi.nlm.nih.gov/pubmed/23935815
http://dx.doi.org/10.1371/journal.pone.0065174
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