Table 6

Impact of Fatigue on Employment and Earnings

All effects estimated relative to not-fatigued (NF) population, (Standard Errors in Parentheses)

Employment: Adjusted odds ratio (OR) of working in the prior 4 weeks relative to NF sample

Model with reported education

Model with imputed education

Incremental Expenditures attributed to CFS

0.15***

(0.10)

0.12***

(0.08)

Incremental Expenditures Attributed to ISF

0.14***

(0.08)

0.14***

(0.08)

Earnings over the past 4 weeks ($), adjusted impact measured relative to NF sample

Linear OLS

GLM gamma for (y+1)

TPM

Model with reported education

Model with imputed education

Model with reported education

Model with imputed education

Model with reported education

Model with imputed education

Incremental Expenditures attributed to CFS

-878.24**

(337.60)

-1079.47***

(347.64)

-503.11

(392.52)

-658.30**

(298.83)

-266.30

(261.26)

-394.96

(255.41)

Incremental Expenditures Attributed to ISF

-408.37*

(284.75)

-405.39

(283.90)

-1019.04

(654.78)

-1029.23

(665.62)

-22.37

(235.84)

-25.94

(235.60)

AIC

8397.40

8398.11

17.32

17.31

538.28

538.28

BIC

8451.49

8452.20

-1509.96

-1511.78

-1399.67

-1399.46

* p < 0.1, ** p < 0.05, ***p < 0.01.

Full model results for logistic regression on employment and GLM on earnings in Additional file 2, Table S3.

Lin et al. Cost Effectiveness and Resource Allocation 2011 9:1   doi:10.1186/1478-7547-9-1