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obesity used data from 892 older bariatric surgery patients, and over 41,000 older obese subjects from Veterans Affairs Medical Centers who did not receive bariatric

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obesity used data from 892 older bariatric surgery patients, and over 41,000 older obese subjects from Veterans Affairs Medical Centers who did not receive bariatric surgery. The primary research question was regarding the association between bariatric surgery and mortality in older, obese subjects. The researchers employed simple and multiple Cox regressions to estimate the relationship between mortality, bariatric surgery, and other subject characteristics. The resulting models presented are as follows: (please note, these are the slopes and 95% Cls, ie: these results have NOT been exponentialed): (reference: Maciejewski M et al. Survival Among High-Risk Patients After Bariatric Surgery. JAMA (2011). 305 (23) 2419-2426) Table 1: Slopes (and 95% Cls) from Simple and Multiple Cox Regression Models with Outcome Time to Death (or Censoring) Predictor Unadjusted Adjusted Bariatric Surgery -0.44 (-0.67, -0.22) -0.24 (-0.46, -0.01) No Bariatric Surgery ref ref Age (years) 0.07 (0.06, 0.08) Male 0.48 (0.38, 0.58) Female ref White 0.06 (0.02, 0.11) Nonwhite ref Married -0.25 (-0.29, -0.20) Not Married ref BMI at start of follow-up 35-39 ref 40-49 0.20 (0.15, 0.24) >= 50 0.54 (0.46, 0.62) Based on the results from the multiple Cox regression what is the estimated hazard ratio of death for: 70 year old non-white unmarried males who had bariatric surgery compared to 65 year old white married females who did not have bariatric surgery, where both groups had the same BMI at the start of the study? 0.78 O 2.18 1.0 O 0.0

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