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

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.