02 1 93* 1 30–2 88 Poor relation with colleagues 28 1 40* 1 04–1

02 1.93* 1.30–2.88 Poor relation with colleagues 28 1.40* 1.04–1.89 1.61* 1.14–2.26 1.16 0.89–1.53 1.70* 1.17–2.47 Poor relation with supervisor 28 1.71* 1.27–2.31 2.16* 1.53–3.05 1.28 0.98–1.68 1.78* 1.22–2.60 Pe prevalence in study population †Reference category: no productivity loss ‡Reference category: no sick leave * p < 0.05, adjusted for sex, VX-689 cell line age, and ethnicity Table 3 Effects of adjustment for work-related factors, health, and selleck products lifestyle-related factors on the association between educational level and productivity loss at work (n = 647)   10–20 % productivity loss† 30 % or more productivity

loss† Low education‡ Intermediate education‡ Low education‡ Intermediate education‡ OR 95 % CI OR 95 % CI OR 95 % CI OR 95 % CI Model 1: sex, age, and ethnicity 1.46* 1.01–2.11 1.22 0.89–1.67 1.49 0.98–2.26

1.28 0.87–1.87 Model 2: model 1 + reduced perceived general health 1.45* 1.00–2.08 1.21 0.88–1.65 1.43 0.94–2.19 1.28 0.87–1.87 Model 3: model 1 + work-related factorsa 1.54* 1.06–2.23 1.24 0.90–1.70 1.54* 1.01–2.35 1.26 0.86–1.85 Model 4: model 1 + lifestyle-related factorsb 1.46* 1.02–2.11 1.22 0.89–1.68 1.50 0.98–2.30 Ganetespib 1.35 0.92–1.97 Model 5: model 1 + health + work-related factors 1.53* 1.05–2.21 1.23 0.90–1.70 1.49 0.97–2.28 1.27 0.86–1.86 Model 6: model 1 + health + work-related factors + lifestyle-related factors 1.53* 1.06–2.22 1.24 0.90–1.71 1.54* 1.01–2.37 1.32 0.90–1.94 †Reference category: no productivity loss ‡Reference category: high educational level aWork-related factors: low job control, poor relation with colleagues, and poor relation with supervisor bLifestyle-related factors: insufficient vigorous physical activity * p < 0.05 Sick leave As shown in Table 2, individuals

with a low (OR = 1.81, 95 % CI 1.15–2.85) or intermediate educational level (OR = 1.85, 95 % CI 1.21–2.82) were more likely to have 10 or more workdays sick leave. Obesity was statistically significantly associated with more sick leave days after adjustment for gender, age, and ethnicity (OR = 2.29, 95 % CI 1.27–4.12). The strongest association was found between perceived general health and sick leave (OR = 6.26, 95 % CI 3.47–11.29). Several work-related factors were also associated selleck kinase inhibitor with sick leave: working in awkward postures, low job control, low skill discretion, and a poor relation with colleagues or supervisor (Table 2). The combination of work-related factors partly explained the association between educational level and sick leave (Table 4). After adjustment for work-related factors, the strength of the association between a low educational level and 10 or more days of sick leave decreased from OR = 1.81 to OR = 1.62 (23 % change). Combined adjustment for work-related factors and perceived general health further reduced the strength of the association between a low educational level and 10 or more days of sick leave with an additional 4 %.

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