title: Specific alcoholic beverage and blood pressure in a middle-aged Japanese population: the High-risk and Population Strategy for Occupational Health Promotion (HIPOP-OHP) Study.
abstract: The purpose of this study was to clarify the effects of popular Japanese alcoholic beverages on blood pressure. We performed a cross-sectional study on 4335 Japanese male workers using baseline data from an intervention study. We defined six groups according to the type of alcoholic beverage that provided two-thirds of the subject's total alcohol consumption: beer, sake (rice wine), shochu (traditional Japanese spirits), whiskey, wine and others. The partial regression coefficients of daily alcohol intake (1 drink=11.5 g of ethanol) to systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 0.87(P<0.001, standard error (s.e.)=0.09) and 0.77(P<0.001, s.e.=0.06), respectively. A comparison among the types of alcoholic beverages mainly consumed revealed significant differences in SBP and DBP. Both SBP and DBP were highest in the shochu group. However, an analysis of covariance adjusting for total alcohol consumption resulted in the disappearance of these differences. Although after adjustment for total alcohol consumption, the shochu group exhibited a significant positive association with 'high-normal blood pressure or greater' (odds ratio 1.43, 95% confidence interval 1.06-1.95) compared with the beer group, this significant relation disappeared after adjusting for the body mass index (BMI), urinary sodium and potassium excretion. The pressor effect, per se, of popular Japanese alcoholic beverages on blood pressure may not be different among the types of alcoholic beverages after adjusting for other lifestyle factors.
authors.affiliation: Department of Health Science, Shiga University of Medical Science, Japan. tokamura@belle.shiga-med.ac.jp
authors.forename: T
authors.initials: T
authors.lastname: Okamura
authors.forename: T
authors.initials: T
authors.lastname: Tanaka
authors.forename: K
authors.initials: K
authors.lastname: Yoshita
authors.forename: N
authors.initials: N
authors.lastname: Chiba
authors.forename: T
authors.initials: T
authors.lastname: Takebayashi
authors.forename: Y
authors.initials: Y
authors.lastname: Kikuchi
authors.forename: J
authors.initials: J
authors.lastname: Tamaki
authors.forename: U
authors.initials: U
authors.lastname: Tamura
authors.forename: J
authors.initials: J
authors.lastname: Minai
authors.forename: T
authors.initials: T
authors.lastname: Kadowaki
authors.forename: K
authors.initials: K
authors.lastname: Miura
authors.forename: H
authors.initials: H
authors.lastname: Nakagawa
authors.forename: S
authors.initials: S
authors.lastname: Tanihara
authors.forename: A
authors.initials: A
authors.lastname: Okayama
authors.forename: H
authors.initials: H
authors.lastname: Ueshima
mesh_terms: D000328:Adult; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology* / Q000503:physiopathology; D000434:Alcoholic Beverages / Q000706:statistics & numerical data; D001515:Beer / Q000706:statistics & numerical data; D001794:Blood Pressure / Q000187:drug effects; D003430:Cross-Sectional Studies; D000431:Ethanol / Q000009:adverse effects; D005260:Female; D006293:Health Promotion; D006801:Humans; D007564:Japan / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D016272:Occupational Health; D016017:Odds Ratio; D012307:Risk Factors; D014920:Wine / Q000706:statistics & numerical data
chemical_list: D000431:Ethanol