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Occup Environ Med 62:623-632 doi:10.1136/oem.2004.018564
  • Original article

Accuracy of a semiquantitative method for Dermal Exposure Assessment (DREAM)

Table 4

 Linear mixed regression models for individual observations of exposure on clothing layer for body parts with >50% detectable samples: logged dermal exposures (μg/cm2) as response variable (Y), task and subject included as random effects (model A); with task and subject included as random effect and DREAM estimates as fixed effect (model B); and with task and subject included as random effect and detailed DREAMDET estimates as fixed effect (model C)

Agent Body part n* K† T‡ Model Random effects Fixed effects β (se) % of total variance explained by DREAM
S2TASK S2BW S2WW Intercept (γ00) γ01⋅LN(DREAMj)
*<0.05; **<0.01; ***<0.001; ****<0.0001.
*Number of measurements, >50% of samples should be above limit of detection.
†Number of workers.
‡Number of tasks.
¶For this survey the mixed regression models contained the random effect variable “company” in addition to “task” and “subject”. Estimated variance components for company (S2COMPANY) were 10.9 (model A), 6.5 (model B), and 2.3 (model C).
CP, cyclophosphamide; DEGBE, di-ethyl-glycol-butyl-ether; OS, organic solvents; MWF, metal working fluids.
Between surveys
CP, DEGBE, OS Hands 134 87 9 A 52.5 7.3 0.4 2.5 (2.4)
B 27.5 3.2 0.7 2.0 (1.8) 1.32 (0.17)**** 48
C 12.4 1.9 0.9 3.8 (1.2) 1.07 (0.10)**** 75
Within surveys
    DEGBE¶ Hands 50 36 3 A 18.4 3.3 0.4 4.3 (2.7)
B 19.7 2.9 0.5 5.0 (2.7) 0.68 (0.25)* 10
C 6.7 1.7 1.4 6.0 (1.7) 0.84 (0.19)*** 56
    OS Hands 61 33 4 A 1.5 0.1 0.2 7.0 (0.6)
B 1.5 0.1 0.2 7.1 (0.9) −0.03 (0.23) 0
C 1.3 0.1 0.2 6.7 (0.8) 0.12 (0.22) 13
Between surveys
CP, MWF, OS Legs 124 82 10 A 58.5 0.4 0.4 4.0 (2.4)
B 47.3 0.2 0.4 3.9 (2.2) 0.22 (0.05)**** 19
C 40.3 0.3 0.4 4.2 (2.0) 0.23 (0.05)**** 31
Within surveys
MWF Legs 56 44 4 A 0.3 0.7 0.4 9.3 (0.3)
B 0.01 0.0 0.9 8.9 (0.2) 0.26 (0.06)** 38
OS Legs 62 33 4 A 1.9 0.2 0.3 5.7 (0.7)
B 1.9 0.2 0.3 4.5 (1.0) 0.39 (0.25) 0
C 0.8 0.2 0.3 4.2 (0.8) 0.55 (0.22)* 46

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