title: [Relationship between behavior of weekly alcohol drinking and the prevalence of hypertension in adults of Suzhou city].
abstract: OBJECTIVE
  To explore the relationship between weekly alcohol drinking behavior and the prevalence of hypertension.
  
  
  METHODS
  Data was collected in a Kadoorie study of chronic disease in Wuzhong district, Suzhou city of Jiangsu province, China. Data from the baseline survey was used to describe the status of alcohol drinking and the prevalence of hypertension among local residents. Relationships between the frequency of alcohol drinking, consumption of alcohol, age when initiating weekly drinking behavior, drinking-related adverse conditions and the prevalence of hypertension, were studied by logistic regression.
  
  
  RESULTS
  The rates on weekly alcohol drinking in the studied population were 40.7% in men and 0.6% in women. The amount of weekly average alcohol intake showed as 250.8 g in males and 47.2 g in females, with statistical significance seen between genders (P < 0.01). The prevalence rates of hypertension among male and female were 39.7% and 36.1% respectively, with significant difference (P < 0.01). Data from Multiple logistic regression analysis showed that when the frequency of alcohol drinking > or = 3 days per week or the weekly average alcohol intake > or = 100 grams, the risk would be higher to develop hypertension than in those non-drinkers (P < 0.01). The age of initiating behavior as weekly alcohol drinking younger than 20 years old or the dinking-related adverse condition appeared to be more than two kinds. The risks of developing hypertension were 1.50 times and 3.27 times than those non-drinkers in men but not in women.
  
  
  CONCLUSIONS
  The frequency of drinking alcohol and the amount of alcohol intake per week was different between males and females. Along with the following factors as: increase of frequency on alcohol drinking per week, the amount of alcohol intake also increased. The advance of age related to the initiation of weekly drinking and the increase of alcohol-related adverse condition was also seen, the risk of hypertension showed an upward trend in males but not in females.
authors.affiliation: Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
authors.forename: Ran
authors.initials: R
authors.lastname: Tao
authors.affiliation: Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Su
authors.affiliation: Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
authors.forename: Jin-Yi
authors.initials: JY
authors.lastname: Zhou
authors.affiliation: Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
authors.affiliation: Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Wu
authors.affiliation: Suzhou City Center for Disease Control and Prevention, Suzhou.
authors.forename: Yi-He
authors.initials: YH
authors.lastname: Hu
authors.affiliation: Wuzhong Center for Disease Control and Prevention, Suzhou.
authors.forename: Ren-Xian
authors.initials: RX
authors.lastname: Zhou
authors.affiliation: Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, UK.
authors.forename: Ling
authors.initials: L
authors.lastname: Yang
authors.affiliation: Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, UK.
authors.forename: Huai-Dong
authors.initials: HD
authors.lastname: Du
authors.affiliation: Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, UK.
authors.forename: Zheng-Ming
authors.initials: ZM
authors.lastname: Chen
authors.affiliation: School of Public Health, Peking University.
authors.forename: Li-Ming
authors.initials: LM
authors.lastname: Li
authors.affiliation: Chinese Academy of Medical Sciences.
authors.forename: Yu
authors.initials: Y
authors.lastname: Guo
mesh_terms: D000328:Adult; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011446:Prospective Studies; D012307:Risk Factors; D011795:Surveys and Questionnaires