title: Risk factors for mortality in middle-aged women.
abstract: BACKGROUND
  Many factors contribute to mortality in older women, but their relative importance and independent contribution have been poorly characterized.
  
  
  METHODS
  From 1990 to 1992, we assessed demographics, lifestyle measures, prevalent disease, medication use, anthropometrics, vital signs, and physical function in 17 748 postmenopausal women. We used proportional hazards modeling to evaluate their association with mortality.
  
  
  RESULTS
  During 9 years of follow-up, 1886 women (10.6%) died. The relative hazard (RH) of death was approximately 1.5 (95% confidence interval [CI], 1.5-1.6) per 5 years of age, 1.4 (95% CI, 1.2-1.6) for a history of heart disease, and 1.9 (95% CI, 1.6-2.3) for a history of breast cancer. Modifiable risk factors associated with mortality included smoking (RH, 3.7 [95% CI, 3.1-4.5] for current smokers with a > or =50 pack-year history) and systolic blood pressure (RH, 1.3 [95% CI, 1.1-1.5], fifth vs first quintile). Elevated waist-hip ratio was associated with higher mortality (RH, 1.3 [95% CI, 1.1-1.5], fifth vs first quintile), but obesity was associated with lower mortality (RH, 0.7 [95% CI, 0.6-0.9] for body mass index [calculated as weight in kilograms divided by the square of height in meters] of >35.0 vs 18.5-25.0). Poor results on the timed Up and Go Test, a measure of physical function, were also strongly associated with mortality (RH, 1.7 [95% CI, 1.4-2.0], fifth vs first quintile).
  
  
  CONCLUSIONS
  Simple measures are sufficient to stratify postmenopausal women into groups at high and low risk of dying. Smoking, central obesity, blood pressure, and physical function are potentially modifiable risk factors, although clinical trials are required to demonstrate that change in these factors affects mortality.
authors.affiliation: Division of General Internal Medicine, Department of Medicine, University of California-San Francisco, CA 94143, USA. jeff.tice@ucsf.edu
authors.forename: Jeffrey A
authors.initials: JA
authors.lastname: Tice
authors.forename: Alka
authors.initials: A
authors.lastname: Kanaya
authors.forename: Trisha
authors.initials: T
authors.lastname: Hue
authors.forename: Susan
authors.initials: S
authors.lastname: Rubin
authors.forename: Diana S M
authors.initials: DS
authors.lastname: Buist
authors.forename: Andrea
authors.initials: A
authors.lastname: Lacroix
authors.forename: James V
authors.initials: JV
authors.lastname: Lacey
authors.forename: Jane A
authors.initials: JA
authors.lastname: Cauley
authors.forename: Stephanie
authors.initials: S
authors.lastname: Litwack
authors.forename: Louise A
authors.initials: LA
authors.lastname: Brinton
authors.forename: Douglas C
authors.initials: DC
authors.lastname: Bauer
mesh_terms: D050153:Abdominal Fat; D000368:Aged; D000369:Aged, 80 and over; D001794:Blood Pressure; D005260:Female; D006801:Humans; D008875:Middle Aged; D009026:Mortality; D015999:Multivariate Analysis; D009765:Obesity / Q000453:epidemiology; D010809:Physical Fitness; D017698:Postmenopause; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology