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. Author manuscript; available in PMC: 2009 Feb 20.
Published in final edited form as: J Am Geriatr Soc. 2007 Sep;55(9):1421–1425. doi: 10.1111/j.1532-5415.2007.01308.x

Table 2.

Multivariate Logistic Regression Models of Protein Carbonyls and Other Risk Factors for Mortality in Women Aged 65 and Older in the Women's Health and Aging Study I in Baltimore, Maryland (N = 746)

Variable HR 95% Confidence Interval P-Value
Model 1
 Loge protein carbonyls* 1.37 1.05–1.80 .02
Model 2
 Loge protein carbonyls* 1.40 1.05–1.85 .02
 Age
   65–69 1.00
   70–74 1.24 0.72–2.11 .43
   75–79 1.56 0.92–2.64 .1
   80–84 2.66 1.55–4.57 <.001
   85–89 2.60 1.59–4.22 <.001
   ≥90 4.10 2.33–7.18 <.001
Model 3
 Loge protein carbonyls* 1.34 1.01–1.79 .04
 Age
   65–69 1.00
   70–74 1.21 0.71–2.07 .49
   75–79 1.44 0.84–2.47 .18
   80–84 2.60 1.50–4.50 <.001
   85–89 2.66 1.48–4.07 <.001
   ≥90 3.78 2.09–6.84 <.001
Current smoking 1.66 1.22–2.47 .01
Body mass index, kg/m2
 <18.5 1.26 0.71–2.25 .43
 18.5–24.9 1.00
 25.0–29.9 0.79 0.57–1.11 .17
 ≥30.0 0.61 0.41–0.90 .01
*

Hazard ratio (HR) per 1 standard deviation increase in loge protein carbonyls.