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. Author manuscript; available in PMC: 2024 Apr 18.
Published in final edited form as: J Agromedicine. 2014;19(4):427–436. doi: 10.1080/1059924X.2014.945709

TABLE 3.

Twelve-Month Agricultural Work History Percent-Time Regression Coefficients by Crop and Task (N = 340)a

Work history FEV1 FEF25–75% FEV6 FEV1/FEV6
Estimate (SE) P value Estimate (SE) P value Estimate (SE) P value Estimate (SE) P value
Model 1: Crops
High TWSRA dust score in past yearb .13 (.09) .16 .08 (.15) .57 .22 (.10) .04 −.008 (.006) .14
Months worked in agriculture in past year .08 (.01) <.001 .11 (.03) <.001 .11 (.02) <.001 −.00003 (.001) .97
Years worked in agriculture .006 (.003) .08 −.004 (.005) .42 .009 (.005) .05 -.0005 (.0002) .03
Model 2: Tasks
High TWSRA dust score in past yearb .14 (.09) .12 .02 (.16) .89 .22 (.10) .02 −.008 (.006) .20
Months worked in agriculture in past year .08 (.01) <.001 .11 (.03) <.001 .11 (.02) <.001 −.00001 (.001) .99
Years worked in agriculture .006 (.003) .07 −.005 (.005) .39 .009 (.004) .05 -.0005 (.0002) .04
a

Adjusted for age, sex, height squared, and current smoking.

b

TWSRA = time-weighted self-reported average.

Bold font indicates statistical significance.