TABLE 2

Logistic Regression Results From Models to Predict AOM and OME Using Data From Northern California Kaiser Permanente

VariableAOM, Coefficient Estimate (SE)OME, Coefficient Estimate (SE)
Intercept−6.53 (0.05)a−9.15 (0.39)a
Age1.63 (0.03)a0.99 (0.62)a
    Age2−2.02 (0.05)a−1.13 (0.41)a
    Age311.85 (0.40)a6.01 (2.95)a
    Age4−3.63 (0.15)a−1.64 (1.08)
    Age55.60 (0.27)a2.25 (1.93)
    Age6−3.43 (0.19)a−1.23 (1.34)
Calendar month
    January0.58 (0.009)a0.17 (0.07)
    February0.49 (0.009)a0.23 (0.07)
    March0.19 (0.009)a0.19 (0.06)a
    April−0.06 (0.01)a0.06 (0.07)a
    May−0.20 (0.01)a0.03 (0.07)
    June−0.47 (0.01)a−0.04 (0.07)
    July−0.66 (0.01)a−0.11 (0.08)
    August−0.55 (0.01)a−0.45 (0.09)a
    September−0.18 (0.01)a−0.09 (0.09)
    October0.01 (0.01)0.06 (0.08)
    November0.26 (0.009)a−0.09 (0.08)
    DecemberReference
Gender
    Female−0.05 (0.003)a−0.14 (0.02)a
Age < 9 mo0.06 (0.008)a0.28 (0.07)a
Proportion of OM episodes in previous months1.67 (0.05)a2.59 (0.30)a
No. of OM episodes0.33 (0.004)a0.63 (0.02)a
Any history of AOM−0.24 (0.005)a−0.09 (0.05)
Health state 1 mo ago
    AOM0.29 (0.04)a0.77 (0.08)a
    OME−0.13 (0.08)2.00 (0.13)a
Health state 2 mo ago
    AOM0.20 (0.03)a−0.39 (0.06)a
    OME−0.20 (0.05)a1.61 (0.10)a
Health state 1 mo ago = AOM × health state 2 mo ago = AOM−0.01 (0.05)0.22 (0.09)
Health state 1 mo ago = AOM × health state 2 mo ago = OME−0.13 (0.08)−0.78 (0.15)a
Health state 1 mo ago = OME × health state 2 mo ago = AOM−0.19 (0.09)a0.37 (0.14)a
Health state 1 mo ago = OME × health state 2 mo ago = OME−0.28 (0.15)−2.18 (0.22)a
Age at first AOM−0.012 (0.0004)a−0.009 (0.004)a
    First month of life − indicator−0.22 (0.03)a−0.24 (0.27)
    Second month of life − indicator−0.16 (0.02)a−0.17 (0.17)
  • a Significant at P < .05.