rss
Occup Environ Med 64:739-746 doi:10.1136/oem.2006.027789
  • Original article

Self-reported health problems and sickness absence in different age groups predominantly engaged in physical work

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)
Coefficient OR (95 CI) Coefficient MR (95 CI)
Baseline (odds for ZI, mean for NB) 0.54 0.58 (0.37 to 0.91) 1.73 5.67 (4.12 to 7.80)
Male blue-collar 2.02 7.53 (4.76 to 11.90) 0.34 1.40 (1.04 to 1.88)
Male white-collar (reference) 0 1 0 1
Female white-collar 1.44 4.24 (2.24 to 8.00) 0.26 0.77 (0.52 to 1.15)
Age (years)
1839 (reference) 0 1 0 1
4044 0.37 0.69 (0.40 to 1.21) 0.11 0.90 (0.68 to 1.17)
4561 0.72 0.49 (0.31 to 0.75) 0.12 0.89 (0.72 to 1.10)
Musculoskeletal impairment due to work (per 1 unit; scale 010) 0.13 1.13 (1.02 to 1.26) 0.13 1.14 (1.09 to 1.19)
Insufficient sleep (per hour) 0.32 1.38 (1.14 to 1.66) 0.09 0.92 (0.86 to 0.98)
Predicted work ability
Able 0 1 0 1
Uncertain 0.11 1.12 (0.63 to 1.98) 0.69 2.00 (1.53 to 2.62)
Not able 0.63 1.87 (0.50 to 6.99) 1.13 3.09 (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.

This Article

Free sample

This recent issue is free to all users to allow everyone the opportunity to see the full scope and typical content of OEM.
View free sample issue >>

Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.