Run multiple imputation on same model with "sbp". Change the imputations from m=5. Interpret the model. out2$term estimate 2.5 % 97.5 % p.value 1 (Intercept) 0.00 0.00 0.0001 0.0000 2 glucose 1.10 1.08 1.1100 0.0000 3 age 1.00 0.97 1.0274 0.9119 4 csmker Yes 0.58 0.31 1.0946 0.0929 5 white Yes 0.41 0.25 0.6745 0.0004 6 exer3 >3x/wk 0.65 0.43 0.9828 0.0412 7 bmi 1.06 1.03 1.0991 0.0002 8 drink3 0-2 0.44 0.28 0.7052 0.0006 9 drink3 2 0.36 0.19 0.6943 0.0023 10 educ3 13-15 0.85 0.55 1.3201 0.4747 11 educ3 16 0.62 0.35 1.0965 0.1008 12 sbp 1.00 0.99 1.0146 0.3485