title: Alcohol intake, type of beverage, and the risk of cerebral infarction in young women.
abstract: OBJECTIVE
  The relationship between alcohol consumption and cerebral infarction remains uncertain, and few studies have investigated whether the relationship varies by alcohol type or is present in young adults. We examined the relationship between alcohol consumption, beverage type, and ischemic stroke in the Stroke Prevention in Young Women Study.
  
  
  METHODS
  All 59 hospitals in the greater Baltimore-Washington area participated in a population-based case-control study of stroke in young women. Case patients (n=224) were aged 15 to 44 years with a first cerebral infarction, and control subjects (n=392), identified by random-digit dialing, were frequency matched by age and region of residence. The interview assessed lifetime alcohol consumption and consumption and beverage type in the previous year, week, and day. ORs were obtained from logistic regression models controlling for age, race, education, and smoking status, with never drinkers as the referent.
  
  
  RESULTS
  Alcohol consumption, up to 24 g/d, in the past year was associated with fewer ischemic strokes (<12 g/d: OR 0.57, 95% CI 0. 38 to 0.86; 12 to 24 g/d: OR 0.38, 95% CI 0.17 to 0.86; >24 g/d: OR 0.95, 95% CI 0.43 to 2.10) in comparison to never drinking. Analyses of beverage type (beer, wine, liquor) indicated a protective effect for wine consumption in the previous year (<12 g/wk: OR 0.58, 95% CI 0.35 to 0.97; 12 g/wk to <12 g/d: OR 0.55, 95% CI 0.28 to 1.10; >/=12 g/d: OR 0.92, 95% CI 0.23 to 3.64).
  
  
  CONCLUSIONS
  Light to moderate alcohol consumption appears to be associated with a reduced risk of ischemic stroke in young women.
authors.affiliation: Cardiovascular Health Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. aym8@cdc.gov
authors.forename: A M
authors.initials: AM
authors.lastname: Malarcher
authors.forename: W H
authors.initials: WH
authors.lastname: Giles
authors.forename: J B
authors.initials: JB
authors.lastname: Croft
authors.forename: M A
authors.initials: MA
authors.lastname: Wozniak
authors.forename: R J
authors.initials: RJ
authors.lastname: Wityk
authors.forename: P D
authors.initials: PD
authors.lastname: Stolley
authors.forename: B J
authors.initials: BJ
authors.lastname: Stern
authors.forename: M A
authors.initials: MA
authors.lastname: Sloan
authors.forename: R
authors.initials: R
authors.lastname: Sherwin
authors.forename: T R
authors.initials: TR
authors.lastname: Price
authors.forename: R F
authors.initials: RF
authors.lastname: Macko
authors.forename: C J
authors.initials: CJ
authors.lastname: Johnson
authors.forename: C J
authors.initials: CJ
authors.lastname: Earley
authors.forename: D W
authors.initials: DW
authors.lastname: Buchholz
authors.forename: S J
authors.initials: SJ
authors.lastname: Kittner
mesh_terms: D000293:Adolescent; D000328:Adult; D000428:Alcohol Drinking / Q000097:blood / Q000453:epidemiology*; D000434:Alcoholic Beverages / Q000145:classification* / Q000706:statistics & numerical data; D015992:Body Mass Index; D016022:Case-Control Studies; D002544:Cerebral Infarction / Q000097:blood / Q000453:epidemiology* / Q000517:prevention & control*; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D015897:Comorbidity; D003691:Delaware / Q000453:epidemiology; D004219:District of Columbia / Q000453:epidemiology; D005260:Female; D006801:Humans; D007407:Interviews as Topic; D016015:Logistic Models; D008396:Maryland / Q000453:epidemiology; D016017:Odds Ratio; D010414:Pennsylvania / Q000453:epidemiology; D011159:Population Surveillance; D018570:Risk Assessment; D012307:Risk Factors
chemical_list: D008076:Cholesterol, HDL; D002784:Cholesterol