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. 2016 Jul 1;7(3):125–147. doi: 10.15171/ijoem.2016.713
Table 3: Logistic regression models for the between precarious employment indicators and sickness absence adjusted for sex and age in the total sample of four Nordic countries.
Variables OR (95% CI)
Crude Adjusted
Precariousness employment indicators
Non-permanent contract 0.60 (0.50 to 0.73) 0.67 (0.54 to 0.83)
Low household income meets needs with difficulty 2.08 (1.71 to 2.53) 2.10 (1.71 to 2.58)
Benefits in nature not received 0.96 (0.82 to 1.11) 1.00 (0.86 to 1.18)
Not well informed on health and safety 1.22 (0.97 to 1.53) 1.31 (1.03 to 1.66)
Uncompensated flexible working times 0.62 (0.48 to 0.79) 0.62 (0.48 to 0.81)
Disempowered/No self-determination over schedule 1.65 (1.43 to 1.92) 1.46 (1.21 to 1.77)
No communication and participation with superiors 0.76 (0.64 to 0.90) 0.83 (0.69 to 0.99)
Lack of training 0.96 (0.82 to 1.12) 0.98 (0.83 to 1.16)
Schedule unpredictability 0.73 (0.62 to 0.85) 1.00 (0.82 to 1.23)
Involuntary part-time employment 1.28 (1.11 to 1.49) 1.20 (1.03 to 1.41)
Intensive working times 0.54 (0.41 to 0.72) 0.80 (0.59 to 1.08)
Sex (Reference: male)
Female 1.42 (1.21 to 1.66)
Age of respondent (Reference: 50–65 yrs)
15–29 yrs 0.72 (0.56 to 0.93)
30–49 yrs 0.94 (0.80 to 1.11)