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. 2012 Jan 26;27(7):780–786. doi: 10.1007/s11606-011-1983-3

Table 3.

Total Annual Medical Expenditures, MEPS 2006 (Model 2 & 3)

Model 2 Model 3
Part 1, N = 14,967 Part 2, N = 13,081 Part 1, N = 13,413 Part 2, N = 11,804
Probability of use Amount of $ spent Probability of use Amount of $ spent
Key explanatory variables OR 95% CI Coef 95% CI OR 95% CI Coef 95% CI
Obese II/III, black vs. white (ref) 0.68 (0.45 1.02) -0.17 (-0.43 0.10) 0.70 (0.45 1.09) -0.14 (-0.41 0.12)
Obese I, black vs. white (ref) 0.57 (0.40 0.81) -0.25 (-0.46 -0.05) 0.55 (0.38 0.80) -0.30 (-0.51 -0.10)
Overweight, black vs. white (ref) 0.53 (0.42 0.67) -0.02 (-0.19 0.16) 0.54 (0.42 0.70) -0.02 (-0.20 0.16)
Normal weight black vs. white (ref) 0.42 (0.33 0.53) -0.07 (-0.30 0.17) 0.41 (0.32 0.53) -0.03 (-0.27 0.21)
Demographics & SES & Insurance (omitted)
Health conditions
  Perceived poor/fair physical health 1.76 (1.35 2.28) 0.65 (0.54 0.75) 1.60 (1.22 2.12) 0.66 (0.54 0.77)
  Perceived poor/fair mental health 1.84 (1.34 2.53) 0.25 (0.10 0.39) 1.82 (1.30 2.54) 0.19 (0.04 0.34)
  Smokers 1.08 (1.04 1.12) 0.03 (0.01 0.05) 1.04 (0.98 1.09) 0.03 (0.01 0.05)
  Diabetes 8.13 (3.61 18.34) 0.36 (0.25 0.46) 7.77 (3.24 18.62) 0.34 (0.23 0.44)
  Asthma 2.26 (1.72 2.97) 0.19 (0.09 0.29) 2.14 (1.61 2.85) 0.16 (0.06 0.26)
  Hypertension 4.28 (3.29 5.58) 0.25 (0.16 0.34) 3.92 (2.96 5.20) 0.24 (0.16 0.33)
  High Cholesterol 2.97 (2.25 3.93) 0.15 (0.07 0.23) 3.11 (2.30 4.21) 0.15 (0.07 0.23)
  Heart diseases 2.18 (1.46 3.28) 0.48 (0.39 0.57) 1.78 (1.17 2.71) 0.47 (0.37 0.56)
Attitudes toward health care & insurance
  Don't need health insurance - - - - - - 0.74 (0.59 0.92) -0.31 (-0.48 -0.13)
  Health insurance not worth the cost - - - - - - 0.92 (0.78 1.09) -0.17 (-0.26 -0.08)
  More likely to take risk - - - - - - 1.07 (0.91 1.27) 0.09 (-0.01 0.19)
  Can overcome illness   without medical care - - - - - - 0.75 (0.63 0.89) -0.17 (-0.27 -0.07)

The white reference group for each category is at the same body weight (e.g., black obese II/III compared to white obese II/III). In the part 1 of the model, we predicted the probability of incurring any expenditures; in the part 2 of the model, we predicted the amount spent on medical care, among those who actually had a positive spending. The demographic, socioeconomic and insurance variables are controlled but omitted from the tables due to space limit