Skip to main content
. 2009 Oct 4;54(1):41–54. doi: 10.1093/annhyg/mep069

Table 5.

Linear mixed models for predicting log-transformed plasma HDA (μg)a in 46 automotive spray painters

Covariatesb nc Nd Parameter estimates REMLe estimates
ICC P-valuesf
σw2 σb2
Intercept 46 108 −1.676 1.77 0.10 0.05 <0.001
Location 33 78 −0.071 1.44 0.34 0.19 0.806
Coveralls 32 73 −0.423 1.55 0.26 0.14 0.114
Gloves 39 86 −0.096 1.80 0.09 0.05 0.758
Respirator type
    Air purifying (half) 35 80 −0.407 1.48 0.12 0.08 0.137
    Air purifying (full) 1 3 0.058 2.40 NA NA 0.942
    Supplied air (full or hood) 8 17 −0.034 3.25 0.11 0.03 0.934
    PAPR (full or hood) 4 7 0.931 0.66 0.19 0.22 0.068
    None 1 1 1.452 NA NA NA 0.258
Booth type
    Downdraft 31 72 −0.745 1.80 0.02 0.01 0.004
    Semi-downdraft 10 21 0.774 1.86 0.03 0.02 0.012
    Crossdraft 6 15 0.377 1.04 0.18 0.15 0.310

REML, restricted maximum likelihood; ICC, intraclass correlation coefficient; NA, not applicable.

a

Multiple imputation (n = 10 imputed datasets) was used to impute air-sampling data below MDL.

b

Each fixed-effect dichotomous covariate tested in the linear mixed model for log-transformed plasma HDA level (dependent variable); location (NC = 0, WA = 1), coveralls (no = 0, yes = 1), gloves (no = 0, yes = 1), respirator type (no = 0, yes = 1 for each type) and booth type (no = 0, yes = 1 for each type).

c

Number of workers.

d

Number of samples.

e

Restricted maximum likelihood estimates of the log-transformed data for the within-worker (σw2) and between-worker variance (σb2).

f

P-values are based on F-tests of fixed effects.