Table 2

Odds ratio (OR) and 95% confidence intervals (CI) for individuals and professional factors associated with Work Ability Index – WAI (moderate-poor) vs (excellent-good)
Variable N (%) Univariable analysis Multivariable analysis
OR 95% CI P-value OR 95% CI P-value
Gender* 0.01
  Female 702 (20.5) 1
  Male 1745 (18.5) 0.88 [0.80-0.97]
Age <0.001 <0.001
  [40–45] 760 (13.9) 1 1
  [45–50] 687 (17.8) 1.34 [1.20-1.50] 1.27 [1.11-1.15]
  [50–55] 637 (27.6) 2.36 [2.10-2.66] 2.08 [1.81-2.40]
  [55–60] 320 (31.7) 2.88 [2.47-3.36] 2.82 [2.35-3.38]
  [60–65] 43 (21.9) 1.74 [1.23-2.46] 2.68 [1.81-3.96]
BMI <0.001 0.08
  Normal 752 (17.0) 1 1
  Underweight 23 (19.3) 1.17 [0.74-1.86] 1.02 [0.55-1.86]
  Overweight 991 (19.0) 1.15 [1.03-1.27] 1.06 [0.94-1.20]
  Obesity 681 (22.1) 1.39 [1.24-1.56] 1.20 [1.04-1.38]
Daily smoking habits <0.001
  Non-smoker 1670 (18.1) 1
  Former smoker 133 (24.7) 1.49 [1.21-1.82]
  From 1 to 10 cigarettes 131 (17.4) 0.95 [0.78-1.16]
  From 11 to 20 cigarettes 209 (19.8) 1.12 [0.95-1.32]
  From 21 to 30 cigarettes 186 (22.2) 1.29 [1.09-1.54]
  > 30 cigarettes 118 (27.0) 1.67 [1.34-2.08]
Health status
  Number of diseases 1.27 [1.25-1.29] <0.001 1.13 [1.11-1.15] <0.001
  FICD / Yes 185 (41.6) 3.19 [2.63-3.87] <0.001 1.43 [1.11-1.84] 0.01
  MSD / Yes 1603 (32.6) 4.06 [3.70-4.46] <0.001 2.39 [2.12-2.70] <0.001
  Mental diseases / Yes 612 (46.5) 4.58 [4.07-5.16] <0.001 2.54 [2.18-2.96] <0.001
Type of work function <0.001 <0.001
  Mixed 1036 (17.8) 1 1
  Physical 1121 (26.6) 1.68 [1.52-1.85] 1.67 [1.49-1.87]
  Mental 290 (10.3) 0.53 [0.46-0.61] 0.71 [0.61-0.84]
Firm size <0.001 0.03
  1-9 290 (14.7) 0.56 [0.47-0.66] 0.76 [0.63-0.91]
  10-49 672 (17.4) 0.68 [0.59-0.78] 0.84 [0.72-0.98]
  50-249 722 (18.6) 0.74 [0.64-0.84] 0.87 [0.74-1.01]
  >=250 426 (23.7) 1 1

* Taken into account in the multivariable analysis but not part of the equation following Wald’s step-by-step descending method (the variable effect is not high enough to be kept in the model).

To help to read the table, let us comment on one example: in the multivariable analysis, taking the age category [40–45] as a reference, the probability to obtain a poor to moderate WAI is significantly higher in the other age categories.

El Fassi et al.

El Fassi et al. BMC Public Health 2013 13:305   doi:10.1186/1471-2458-13-305

Open Data