Table 6 Predicting the propensity to being susceptible versus immune to any sickness absence (zero-inflation part) and the duration of sickness absence, if susceptible (negative binomial part)
Zero-inflated part (ZI)Negative binomial part (NB)
CoefficientOR (95 CI)CoefficientMR (95 CI)
Baseline (odds for ZI, mean for NB)0.540.58 (0.37 to 0.91)1.735.67 (4.12 to 7.80)
Male blue-collar2.027.53 (4.76 to 11.90)0.341.40 (1.04 to 1.88)
Male white-collar (reference)0101
Female white-collar1.444.24 (2.24 to 8.00)0.260.77 (0.52 to 1.15)
Age (years)
1839 (reference)0101
40440.370.69 (0.40 to 1.21)0.110.90 (0.68 to 1.17)
45610.720.49 (0.31 to 0.75)0.120.89 (0.72 to 1.10)
Musculoskeletal impairment due to work (per 1 unit; scale 010)0.131.13 (1.02 to 1.26)0.131.14 (1.09 to 1.19)
Insufficient sleep (per hour)0.321.38 (1.14 to 1.66)0.090.92 (0.86 to 0.98)
Predicted work ability
Able0101
Uncertain0.111.12 (0.63 to 1.98)0.692.00 (1.53 to 2.62)
Not able0.631.87 (0.50 to 6.99)1.133.09 (1.89 to 5.05)
  • Estimated model coefficients, odds ratios (OR) and mean ratios (MR) with 95 CI from fitting a zero-inflated negative binomial regression Model 3 including age, occupational grade, gender, musculoskeletal impairment, insufficient sleep and self-rated future working ability as covariates.

  • The estimate of the dispersion parameter was 0.62.

  • Zero-inflated part refers to the model component for predicting membership to the subpopulation A with high propensity to zero absence, and negative binomial part to the component predicting the days on sick leave among the susceptible subpopulation B. To facilitate interpretation, for the zero-inflation part we have provided the ORs associated with the complementary propensity to having any sickness absencethat is, inclusion in subpopulation B.