Gender | Age (years) | Subjects, n | Health problems () | with zero days | Days on sick leave | |||||
One | Two or more | Median | Upper quartile | Maximum | Mean of all values | Mean of non-zero values | ||||
Male blue-collar | 1839 | 285 | 15 | 14 | 25 | 5 | 13 | 229 | 13 | 17 |
4049 | 266 | 18 | 15 | 34 | 3 | 13 | 180 | 11 | 17 | |
5061 | 278 | 25 | 32 | 35 | 4 | 17 | 221 | 16 | 24 | |
Male white-collar | 1839 | 98 | 12 | 4 | 71 | 0 | 2 | 40 | 2 | 8 |
4049 | 123 | 6 | 5 | 74 | 0 | 1 | 34 | 1 | 6 | |
5061 | 124 | 15 | 14 | 73 | 0 | 1 | 197 | 5 | 17 | |
Female white-collar | 1839 | 54 | 11 | 2 | 39 | 2 | 6 | 27 | 4 | 6 |
4049 | 58 | 12 | 3 | 55 | 0 | 2 | 135 | 6 | 13 | |
5061 | 46 | 15 | 7 | 50 | 0 | 4 | 11 | 2 | 5 | |
All eligible participants | 1341 | 16 | 15 | 42 | 2 | 9 | 229 | 10 | 17 | |
All respondents | 1366 | 17 | 14 | 44 | 2 | 9 | 347 | 11 | 18 | |
Non-respondents | 1714 | NA | NA | 38 | 3 | 10 | 276 | 12 | 20 |
The data for blue-collar females are not shown due to small number of subjects (n9), but their data are included in All eligible participants.
Includes (in addition to the eligible participants of the study) those who were excluded from the analyses due to granted pension.
Includes all subjects who did not respond to the survey, or refused to participate in any part of the study. Their sickness absence data were gathered in an anonymous manner.