Identifying Target Risk Factors Using Population Attributable Risks of Ischemic Stroke by Age and Sex.
10.5853/jos.2015.17.3.302
- Author:
Tai Hwan PARK
1
;
Youngchai KO
;
Soo Joo LEE
;
Kyung Bok LEE
;
Jun LEE
;
Moon Ku HAN
;
Jong Moo PARK
;
Yong Jin CHO
;
Keun Sik HONG
;
Dae Hyun KIM
;
Jae Kwan CHA
;
Mi Sun OH
;
Kyung Ho YU
;
Byung Chul LEE
;
Byung Woo YOON
;
Ji Sung LEE
;
Juneyoung LEE
;
Hee Joon BAE
Author Information
1. Department of Neurology, Seoul Medical Center, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Population attributable risk;
Ischemic stroke;
Risk factor
- MeSH:
Aged;
Case-Control Studies;
Female;
Humans;
Hypertension;
Male;
Odds Ratio;
Prevalence;
Risk Factors*;
Secondary Prevention;
Smoke;
Smoking;
Smoking Cessation;
Stroke*
- From:Journal of Stroke
2015;17(3):302-311
- CountryRepublic of Korea
- Language:English
-
Abstract:
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, < or = 45; middle-aged, 46-65; and elderly, > or = 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.
