title: Body mass index and hypertension among Chinese governmental and institutional employees in Beijing.
abstract: Body mass index (BMI) and hypertension have been found to be associated in most studies of diverse populations; however, little information is available on whether the positive relationship is consistent among individuals at work sites. A work site-based screening was performed in 30 682 employees with a mean age of 40.3 years. In crude models, higher BMI quartiles above the lowest quartiles (BMI < 20.6 kg/m2) were associated with progressively higher odds ratio (OR) of hypertension with an OR of 2.80 (95% confidence interval [CI]: 2.67-2.93) for the top quartile (BMI ≥ 24.6 kg/m2). Similar trends were found in fully adjusted models. Moreover, a 1-standard deviation (SD) increase in BMI was associated with a 42% significantly higher (95% CI 38-46) risk of hypertension after adjusting for other factors. Concordant relationships were revealed in all evaluated subgroups, even among those without traditional cardiovascular risk factors.
authors.affiliation: Department of Biostatistics, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Chen
authors.forename: Wei
authors.initials: W
authors.lastname: Li
authors.forename: Yang
authors.initials: Y
authors.lastname: Wang
authors.forename: Tao
authors.initials: T
authors.lastname: Xu
authors.forename: Bo
authors.initials: B
authors.lastname: Hu
authors.forename: Weiwei
authors.initials: W
authors.lastname: Chen
authors.forename: Manlu
authors.initials: M
authors.lastname: Zhu
mesh_terms: D000328:Adult; D044466:Asian People / Q000706:statistics & numerical data*; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D006973:Hypertension / Q000175:diagnosis / Q000208:ethnology*; D016014:Linear Models; D008297:Male; D008403:Mass Screening; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis / Q000208:ethnology*; D009790:Occupations / Q000706:statistics & numerical data*; D016017:Odds Ratio; D018570:Risk Assessment; D012307:Risk Factors; D014504:Urban Health / Q000208:ethnology*