TABLE 4

Logistic Regression Analysis Predicting BMI Use in Pediatric Practice (N = 677)

VariableModel 1, OR (95% CI)Model 2, OR (95% CI)Model 3, OR (95% CI)Model 4, OR (95% CI)
Demographics
    Female1.66 (1.10–2.52)1.61 (1.04–2.48)1.56 (0.98–2.47)1.51 (0.95–2.40)
    Age (continuous)1.00 (0.98–1.02)1.00 (0.98–1.02)1.00 (0.98–1.02)1.00 (0.98–1.02)
    Provider BMI (continuous)1.00 (0.96–1.04)1.00 (0.96–1.04)1.00 (0.97–1.05)1.01 (0.96–1.05)
    General pediatrician0.80 (0.31–2.08)0.98 (0.36–2.66)0.98 (0.35–2.73)0.95 (0.34–2.63)
Practice characteristics
    Small pediatric group
    Large pediatric group1.79 (1.08–2.96)1.53 (0.88–2.63)1.59 (0.92–2.75)
    Medical school/hospital/clinic/community health center2.29 (1.19–4.41)2.04 (1.01–4.10)1.86 (0.92–3.79)
    Rural1.04 (0.57–1.92)0.83 (0.43–1.59)0.93 (0.47–1.82)
    Suburban0.84 (0.54–1.31)0.82 (0.51–1.31)0.93 (0.56–1.55)
    Urban
    Use EMRs1.70 (1.11–2.60)1.39 (0.89–2.19)1.41 (0.90–2.21)
    CME on obesity in previous 3 y1.49 (1.01–2.20)1.44 (0.95–2.17)1.44 (0.95–2.18)
Attitude factors
    Helpless0.99 (0.96–1.03)1.00 (0.96–1.03)
    Reimbursement1.01 (0.94–1.09)1.01 (0.94–1.09)
    Resources1.25 (1.17–1.33)1.25 (1.17–1.34)
Percent minority (continuous)1.01 (1.00–1.02)