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Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex

BACKGROUND AND PURPOSE: Estimating age- and sex-specific population attributable risks (PARs) of major risk factors for stroke may be a useful strategy to identify risk factors for targeting preventive strategies. METHODS: For this case-control matched study, consecutive patients aged 18-90 years an...

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Autores principales: Park, Tai Hwan, Ko, Youngchai, Lee, Soo Joo, Lee, Kyung Bok, Lee, Jun, Han, Moon-Ku, Park, Jong-Moo, Cho, Yong-Jin, Hong, Keun-Sik, Kim, Dae-Hyun, Cha, Jae-Kwan, Oh, Mi-Sun, Yu, Kyung-Ho, Lee, Byung-Chul, Yoon, Byung-Woo, Lee, Ji Sung, Lee, Juneyoung, Bae, Hee-Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Stroke Society 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635707/
https://www.ncbi.nlm.nih.gov/pubmed/26437995
http://dx.doi.org/10.5853/jos.2015.17.3.302
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author Park, Tai Hwan
Ko, Youngchai
Lee, Soo Joo
Lee, Kyung Bok
Lee, Jun
Han, Moon-Ku
Park, Jong-Moo
Cho, Yong-Jin
Hong, Keun-Sik
Kim, Dae-Hyun
Cha, Jae-Kwan
Oh, Mi-Sun
Yu, Kyung-Ho
Lee, Byung-Chul
Yoon, Byung-Woo
Lee, Ji Sung
Lee, Juneyoung
Bae, Hee-Joon
author_facet Park, Tai Hwan
Ko, Youngchai
Lee, Soo Joo
Lee, Kyung Bok
Lee, Jun
Han, Moon-Ku
Park, Jong-Moo
Cho, Yong-Jin
Hong, Keun-Sik
Kim, Dae-Hyun
Cha, Jae-Kwan
Oh, Mi-Sun
Yu, Kyung-Ho
Lee, Byung-Chul
Yoon, Byung-Woo
Lee, Ji Sung
Lee, Juneyoung
Bae, Hee-Joon
author_sort Park, Tai Hwan
collection PubMed
description BACKGROUND AND PURPOSE: Estimating age- and sex-specific population attributable risks (PARs) of major risk factors for stroke may be a useful strategy to identify risk factors for targeting preventive strategies. METHODS: For this case-control matched study, consecutive patients aged 18-90 years and admitted to nine nationwide hospitals with acute ischemic stroke between December 2008 and June 2010, were enrolled as cases. Controls, individually matched by age and sex, were chosen from the 4th Korean National Health & Nutrition Examination Survey (2008-2010). Based on odds ratios and prevalence, standardized according to the age and sex structure of the Korean population, PARs of major risk factors were estimated according to age (young, ≤ 45; middle-aged, 46-65; and elderly, ≥ 66 years) and sex subgroups. RESULTS: In 4,743 matched case-control sets, smoking (PAR, 45.1%) was the greatest contributing risk factor in young men, followed by hypertension (28.5%). In middle-aged men, the greatest contributing factors were smoking (37.4%), hypertension (22.7%), and diabetes (14.6%), whereas in women the greatest factors were hypertension (22.7%) and stroke history (10.6%). In the elderly, hypertension was the leading factor in men (23.7%) and women (23.4%). Other noticeable factors were stroke history (men, 19.7%; women, 17.3%) and diabetes (men, 12.5%; women, 15.1%). In young women, risk factors with a PAR greater than 10% were not found. CONCLUSIONS: Smoking cessation in young people and hypertension and diabetes control in older people may be effective in reducing the burden of stroke on the population. In the elderly, secondary prevention could also be emphasized.
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spelling pubmed-46357072015-11-06 Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex Park, Tai Hwan Ko, Youngchai Lee, Soo Joo Lee, Kyung Bok Lee, Jun Han, Moon-Ku Park, Jong-Moo Cho, Yong-Jin Hong, Keun-Sik Kim, Dae-Hyun Cha, Jae-Kwan Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul Yoon, Byung-Woo Lee, Ji Sung Lee, Juneyoung Bae, Hee-Joon J Stroke Original Article BACKGROUND AND PURPOSE: Estimating age- and sex-specific population attributable risks (PARs) of major risk factors for stroke may be a useful strategy to identify risk factors for targeting preventive strategies. METHODS: For this case-control matched study, consecutive patients aged 18-90 years and admitted to nine nationwide hospitals with acute ischemic stroke between December 2008 and June 2010, were enrolled as cases. Controls, individually matched by age and sex, were chosen from the 4th Korean National Health & Nutrition Examination Survey (2008-2010). Based on odds ratios and prevalence, standardized according to the age and sex structure of the Korean population, PARs of major risk factors were estimated according to age (young, ≤ 45; middle-aged, 46-65; and elderly, ≥ 66 years) and sex subgroups. RESULTS: In 4,743 matched case-control sets, smoking (PAR, 45.1%) was the greatest contributing risk factor in young men, followed by hypertension (28.5%). In middle-aged men, the greatest contributing factors were smoking (37.4%), hypertension (22.7%), and diabetes (14.6%), whereas in women the greatest factors were hypertension (22.7%) and stroke history (10.6%). In the elderly, hypertension was the leading factor in men (23.7%) and women (23.4%). Other noticeable factors were stroke history (men, 19.7%; women, 17.3%) and diabetes (men, 12.5%; women, 15.1%). In young women, risk factors with a PAR greater than 10% were not found. CONCLUSIONS: Smoking cessation in young people and hypertension and diabetes control in older people may be effective in reducing the burden of stroke on the population. In the elderly, secondary prevention could also be emphasized. Korean Stroke Society 2015-09 2015-09-30 /pmc/articles/PMC4635707/ /pubmed/26437995 http://dx.doi.org/10.5853/jos.2015.17.3.302 Text en Copyright © 2015 Korean Stroke Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Tai Hwan
Ko, Youngchai
Lee, Soo Joo
Lee, Kyung Bok
Lee, Jun
Han, Moon-Ku
Park, Jong-Moo
Cho, Yong-Jin
Hong, Keun-Sik
Kim, Dae-Hyun
Cha, Jae-Kwan
Oh, Mi-Sun
Yu, Kyung-Ho
Lee, Byung-Chul
Yoon, Byung-Woo
Lee, Ji Sung
Lee, Juneyoung
Bae, Hee-Joon
Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex
title Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex
title_full Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex
title_fullStr Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex
title_full_unstemmed Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex
title_short Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex
title_sort identifying target risk factors using population attributable risks of ischemic stroke by age and sex
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635707/
https://www.ncbi.nlm.nih.gov/pubmed/26437995
http://dx.doi.org/10.5853/jos.2015.17.3.302
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