Table 2
Percentage distribution* and multiple logistic regression † with the dependent variable “sickness presenteeism” and with occupation, labour market situation, replaceability, part time/full time, gender, age and education as independent variables‡. Odds ratios and confidence intervals (CIs) are presented
| Independent variable | Number | % | Odds ratio (95% CI) |
| Occupation according to SSYK code | |||
| Managers, 1110–1319‡ | 102 | 35 | 1 |
| Care and welfare | 649 | 44 | |
| Medical doctors, 2221 | 28 | 49 | 2.47 (0.99,6.15) |
| Senior nursing and midwifery professionals, 2231–2236 | 35 | 54 | 3.93 (1.72,8.94) |
| Social workers and psychologists, 2491–2492 | 35 | 27 | 1.63 (0.70,3.77) |
| Physiotherapists and occupational therapists, 3221–3228 | 35 | 17 | 0.42 (0.15,1.20) |
| Registered nurses, 3230–3239 | 62 | 49 | 2.71 (1.33,5.52) |
| Welfare workers and associated professionals, 3461–3462 | 32 | 52 | 1.93 (0.82,4.54) |
| Assistant nurses, 5132 | 199 | 47 | 2.89 (1.64,5.09) |
| Personal care and related workers, 5133 | 170 | 37 | 1.94 (1.08,3.49) |
| Nursing home aides, 5134 | 53 | 65 | 4.26 (2.05,8.86) |
| Education | 363 | 46 | |
| College and university teachers, 2310 | 38 | 33 | 0.94 (0.40,2.24) |
| High school teachers, 2320–2323 | 46 | 32 | 1.22 (0.55,2.70) |
| Compulsory school teachers, 2330 | 61 | 52 | 4.55 (2.26,9.17) |
| Other teachers, 2340–2359 | 22 | 51 | 2.34 (0.88,6.25) |
| Pre-primary educationalists, 3310–3320 | 107 | 55 | 3.59 (1.94,6.65) |
| Child minders, 5131 | 89 | 38 | 2.26 (1.17,4.35) |
| Engineering and computing | 202 | 27 | |
| Civil engineers, 2140–2149 | 22 | 21 | 0.73 (0.24,2.21) |
| Other engineers, 3110–3119 | 103 | 29 | 0.87 (0.47,1.61) |
| Computing professionals, 2131–2139 | 43 | 18 | 0.55 (0.22,1.33) |
| Other electronic-equipment oparators, 3131–3212 | 34 | 39 | 1.88 (0.81,4.33) |
| Manufacturing and other labourers | 740 | 35 | |
| Building trades workers, 7111–7143 | 196 | 40 | 1.85 (1.07,3.23) |
| Welders, metal molders, and mechanics, 7210–7243 | 133 | 32 | 1.52 (0.85,2.73) |
| Precision workers, 7311–7435 | 33 | 30 | 1.34 (0.55,3.25) |
| Process plant operators, 8111–8170 | 33 | 27 | 1.18 (0.46,3.01) |
| Machine operators, assemblers, 8211–8290 | 193 | 38 | 1.96 (1.12,3.41) |
| Drivers and other transport operators, 8311–8340 | 124 | 35 | 1.95 (1.06,3.57) |
| Manufacturing and other labourers, 9310–9330 | 28 | 34 | 1.01 (0.34,2.99) |
| Restaurant and service | 348 | 34 | |
| Restaurant services workers, 9130 | 71 | 35 | 1.96 (0.96,3.99) |
| Cooks and waiters, 5111–5123 | 75 | 40 | 2.87 (1.47,5.60) |
| Cleaners and other helpers, 9121–9123 | 96 | 36 | 1.41 (0.73,2.72) |
| Numerical clerks, 4120 | 40 | 26 | 0.87 (0.38,2.01) |
| Customer services and information clerks, 4221–4225 | 66 | 30 | 1.40 (0.68,2.87) |
| Commerce and others | 630 | 36 | |
| Business professionals, 2410–2419 | 48 | 26 | 0.91 (0.43,1.94) |
| Agents and brokers, 3412–3416 | 73 | 34 | 1.25 (0.65,2.39) |
| Banking officials, 3418 | 26 | 53 | 1.50 (0.57,3.93) |
| Other sales-associate professionals, 3419–3429 | 23 | 42 | 1.46 (0.56,3.80) |
| Administrative professionals and bookkeepers, 3431–3433 | 55 | 23 | 0.61 (0.28,1.34) |
| Other office clerks, 4190 | 104 | 42 | 1.49 (0.81,2.76) |
| Cashiers and bookkeepers, 4211–4213 | 37 | 44 | 3.16 (1.35,7.39) |
| Salespersons, retail and wholesale, 5210–5227 | 140 | 35 | 1.69 (0.93,3.08) |
| Secretaries, 4111–4112 | 55 | 26 | 0.92 (0.44,1.92) |
| Storekeepers, 4131–4140 | 69 | 46 | 2.47 (1.26,4.85) |
| Other occupations, encompassed by 64 SSYK codes | 338 | 28 | 1.30 (0.79,2.14) |
| Form of employment | |||
| Permanent in preferred occupation and desired workplace‡ | 1153 | 34 | 1 |
| Other permanent | 649 | 44 | 1.49 (1.21,1.85) |
| Substitutes, without permanent position | 669 | 30 | 0.79 (0.62,1.00) |
| In probationary employment | 134 | 31 | 1.12 (0.73,1.70) |
| Seasonal workers | 107 | 27 | 0.95 (0.59,1.52) |
| Employed on projects, etc | 327 | 33 | 1.09 (0.81,1.45) |
| To meet emergency requirements | 333 | 32 | 0.93 (0.69,1.27) |
| Gender | |||
| Women‡ | 1873 | 38 | 1 |
| Men | 1503 | 35 | 0.96 (0.78,1.17) |
| Age (y) | |||
| 25–35‡ | 951 | 40 | 1 |
| 16–25 | 706 | 23 | 0.53 (0.41,0.67) |
| 36–45 | 710 | 41 | 1.01 (0.82,1.24) |
| 46–55 | 715 | 38 | 0.96 (0.77,1.19) |
| 56–65 | 290 | 31 | 0.74 (0.54,1.01) |
| Education | |||
| Compulsory school‡ | 693 | 34 | 1 |
| High school ⩽2 years | 1141 | 40 | 1.28 (1.03,1.59) |
| High school >2 years | 634 | 31 | 1.04 (0.80,1.35) |
| Post high school ⩽3 years | 532 | 40 | 1.02 (0.75,1.40) |
| Post high school >3 years | 372 | 36 | 0.81 (0.56,1.17) |
| Replaceability ("work left undone”) | |||
| None or only a small proportion‡ | 2100 | 35 | 1 |
| Somewhat less than half | 365 | 36 | 1.26 (0.97,1.64) |
| Somewhat more than half | 277 | 34 | 1.66 (1.22,2.25) |
| Virtually all | 630 | 42 | 2.29 (1.79,2.93 |
| Part time/full time | |||
| Full time‡ | 2197 | 36 | 1 |
| Part time | 1175 | 38 | 1.26 (1.05,1.52) |
| Total | 3372 | 37 | |
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Occupation category: Nagelkerker^2 0.066 χ2(df=61) 229.11 p<0.0001. *Percentage levels of presenteeism are based on full sample (n=3801). †Multiple logistic regression are based on reduced sample (n=3372). ‡For each independent variable determined the reference category.
