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. 2018 Dec 28;111(2):216–218. doi: 10.1093/jnci/djy201

Table 1.

Evaluation of the imputation method used in the glyphosate and cancer analysis in the Agricultural Health Study: cancer incidence by completion of the follow-up questionnaire, and the estimated number of cases affected by alternative imputation method

Glyphosate use* Exposure reported at enrollment and at follow-up (all subjects, using completed and imputed data)
Exposure reported at enrollment only (all subjects)
Exposure reported at enrollment and at follow-up (only subjects with completed follow-up questionnaire)
Exposure reported at enrollment and imputed at follow-up (only subjects without follow-up questionnaire)
Pinteraction
No. of cases RR (95%CI)† Ptrend No. of cases RR (95%CI)† Ptrend No. of cases RR (95%CI)† Ptrend No. of cases RR (95%CI)† Ptrend
All cancer
 None 1511 1.00 1954 1.00 918 1.00 593 1.00
 Q1 1445 0.99 (0.91 to 1.07) 1338 0.99 (0.92 to 1.06) 897 0.98 (0.89 to 1.09) 548 1.01 (0.88 to 1.15)
 Q2 1443 0.99 (0.91 to 1.07) 1339 0.99 (0.92 to 1.07) 999 1.03 (0.93 to 1.13) 444 0.93 (0.81 to 1.07)
 Q3 1440 1.04 (0.96 to 1.13) 1328 1.03 (0.95 to 1.11) 950 1.01 (0.91 to 1.12) 490 1.14 (0.99 to 1.31)
 Q4 1451 0.99 (0.91 to 1.08) .91 1325 0.97 (0.90 to 1.05) .74 1012 1.01 (0.91 to 1.12) .66 439 0.97 (0.84 to 1.12) .70 .73
Affected cases 5
Non-Hodgkin lymphoma
 None 135 1.00 159 1.00 81 1.00 54 1.00
 Q1 113 0.83 (0.59 to 1.18) 116 0.98 (0.76 to 1.25) 67 0.75 (0.52 to 1.07) 46 0.86 (0.55 to 1.36)
 Q2 104 0.83 (0.61 to 1.12) 91 0.75 (0.57 to 0.98) 74 0.83 (0.59 to 1.18) 30 0.67 (0.41 to 1.10)
 Q3 112 0.88 (0.65 to 1.19) 108 0.98 (0.75 to 1.28) 79 0.88 (0.62 to 1.25) 33 0.89 (0.54 to 1.44)
 Q4 111 0.87 (0.64 to 1.20) .95 98 0.82 (0.62 to 1.80) .82 86 0.90 (0.63 to 1.27) .54 25 0.59 (0.34 to 1.03) .10 .58
Affected cases 3
Multiple myeloma
 None 30 1.00 32 1.00 19 1.00 11 1.00
 Q1 19 0.70 (0.36 to 1.36) 19 0.85 (0.47 to 1.53) 11 0.57 (0.26 to 1.27) 8 1.02 (0.33 to 3.12)
 Q2 26 0.94 (0.50 to 1.76) 20 0.87 (0.49 to 1.57) 18 0.89 (0.44 to 1.81) 8 1.24 (0.41 to 3.74)
 Q3 19 0.78 (0.39 to 1.56) 26 1.23 (0.70 to 2.16) 15 0.80 (0.38 to 1.68) 4 0.79 (0.22 to 2.92)
 Q4 24 0.87 (0.45 to 1.69) .84 18 0.73 (0.39 to 1.38) .76 20 1.00 (0.49 to 2.05) .66 4 0.54 (0.13 to 2.32) .42 .65
Affected cases 1
Acute myeloid leukemia
 None 9 1.00 10 1.00 3 1.00 6 1.00
 Q1 13 1.62 (0.60 to 4.38) 14 2.25 (0.96 to 5.27) 8 2.65 (0.69 to 10.18) 5 1.01 (0.30 to 3.41)
 Q2 14 1.70 (0.61 to 4.73) 10 1.64 (0.65 to 4.13) 8 2.24 (0.56 to 8.95) 6 1.29 (0.40 to 4.18)
 Q3 12 1.46 (0.49 to 4.37) 15 2.70 (1.14 to 6.43) 7 2.01 (0.48 to 8.41) 5 0.98 (0.26 to 3.72)
 Q4 18 2.44 (0.94 to 6.32) .11 17 2.62 (1.14 to 6.07) .03 12 3.87 (1.02 to 14.75) .09 6 1.54 (0.44 to 5.32) .55 .79
Affected cases 1
*

Quartiles of intensity weighted days of glyphosate use: Q1 = 1–598.9, Q2 = 599–1649.9, Q3 = 1650–4339.9, Q4 = ≥4340.0.

Poisson regression was used to model rate ratios (RR) and 95% confidence intervals (CI). Ptrend was calculated using a two-sided Wald test. Pinteraction was calculated using the log-likelihood ratio test for the interaction between completion of the follow-up questionnaire and glyphosate use. All models adjusted for age, state of recruitment, education, cigarette smoking status, alcohol per month, family history of cancer, atrazine, alachlor, metolachlor, trifluralin, 2, 4-D.

Estimated number of cases that would change exposure status from never to ever or vice versa among participants who did not complete the follow-up questionnaire. Affected cases are based on the mean absolute difference in the predicted probabilities from the logistic regression models with and without the designated cancer outcome (see Supplementary Table 1).