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. 2020 Mar 25;8:84. doi: 10.3389/fpubh.2020.00084

Table 2.

Main effect of explanatory variables on absenteeism and presenteeism of wage workers among 26 OECD counties.

Fixed effect Absenteeism Presenteeism
Model 1 Model 2 Model 1 Model 2
B OR (95% CI) B OR (95% CI) B OR (95% CI) B OR (95% CI)
Level 1
Female (ref: Male) 0.262*** 1.299 (1.216–1.388) 0.262*** 1.299 (1.216–1.389) 0.280*** 1.323 (1.246–1.404) 0.281*** 1.324 (1.247–1.406)
Work-life imbalances (ref: Low) 0.063 1.065 (0.996–1.139) 0.063 1.066 (0.997–1.139) 0.273*** 1.314 (1.236–1.396) 0.274*** 1.315 (1.237–1.398)
Non-permanent employment (ref: Permanent) −0.353*** 0.702 (0.649–0.761) −0.352*** 0.703 (0.649–0.762) −0.134*** 0.874 (0.815–0.938) −0.134*** 0.874 (0.815–0.938)
Manual job type (ref: Non-manual) −0.030 0.971 (0.897–1.051) −0.029 0.971 (0.897–1.052) −0.097** 0.907 (0.844–0.975) −0.096** 0.908 (0.845–0.976)
Level 2
Gender gap in the employment rate 0.005 1.005 (0.962–1.049) −0.035* 0.965 (0.933–0.998)
Gender wage gap −0.054*** 0.948 (0.923–0.973) −0.032* 0.968 (0.944–0.994)
Random effect
Level 2, μ0 (τ) 0.387 0.225 0.229 0.216
Explanation of τ (%) 19.9 53.4 32.4 36.3
χ2 5311.558*** 1205.810*** 822.310*** 798.012***
*

p < 0.05;

**

p < 0.01;

***

p < 0.001. All models were controlled at individual- and country-level.