Table 4

Lung cancer risks by quartiles of serum IGF-I and IGFBP-3

N (no. of cases/controls)Model 1aModel 2b
ORCIPORCIP
IGF-I
 Q1 (<115)38/731.001.00
 Q2 (115–149.9)36/800.850.49–1.490.790.42–1.49
 Q3 (150–184.9)42/731.110.65–1.910.830.43–1.61
 Q4 (≥185)43/711.110.64–1.930.640.31–1.33
 Trend1.060.89–1.261.020.71–1.110.29
IGFBP-3
 Q1 (<2,400)30/721.001.00
 Q2 (2400–2899.9)39/751.260.71–2.231.360.69–2.65
 Q3 (2900–3399.9)37/761.200.66–2.171.400.68–2.89
 Q4 (≥3400)53/741.670.96–2.922.351.13–4.92
 Trend1.170.98–1.401.221.03–1.660.03
IGF-I:IGFBP-3
 Q1 (<0.042)46/741.00
 Q2 (0.042–0.051)35/700.740.42–1.32
 Q3 (0.052–0.061)34/750.670.37–1.22
 Q4 (≥0.062)44/780.860.49–1.50
 Trend0.950.79–1.140.59
  • a Model 1, conditional logistic regression model, controlling for matching variables: age, sex, race, year of enrollment, and year of blood draw.

  • b Model 2, conditional logistic regression model with adjustment for body mass index, smoking status, pack-years of smoking, exposure population, and IGF-I or IGFBP-3.