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Table 2 Univariable and multivariable logistic regression analysis regarding risk factors for resignation

From: Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors: a cross-sectional study

   Univariable   Multivariable  
OR (95% CI) p-value OR (95% CI) p-value
Age at time of diagnosis, y < 47 (n = 143) 1 (ref)   1 (ref)  
≥47 (n = 126) 0.563 (0.279–1.132) 0.107 0.470 (0.221–0.998) 0.050*
Education level Higher (university, graduate school) (n = 73) 1 (ref)   1 (ref)  
Lower (high school, vocational school, junior college) (n = 196) 3.881 (1.330–11.325) 0.013 3.802 (1.233–11.729) 0.020*
Cancer stage Early (0, I) (n = 163) 1 (ref)   1 (ref)  
Advanced (II–IV) (n = 106) 2.110 (1.071–4.158) 0.031 1.989 (0.875–4.518) 0.101
Surgery No (n = 19) 1 (ref)   1 (ref)  
Yes (n = 250) 3.327 (0.432–25.649) 0.249 3.115 (0.357–27.154) 0.304
Chemotherapy No (n = 70) 1 (ref)   1 (ref)  
Yes (n = 199) 1.251 (0.563–2.777) 0.583 0.923 (0.345–2.468) 0.873
Radiotherapy No (n = 95) 1 (ref)   1 (ref)  
Yes (n = 174) 0.699 (0.353–1.385) 0.304 0.746 (0.345–1.611) 0.455
Type of employment Permanent (n = 117) 1 (ref)   1 (ref)  
Non-permanent (n = 152) 1.049 (0.532–2.068) 0.891 0.655 (0.306–1.402) 0.276
Occupation type Office work (n = 160) 1 (ref)   1 (ref)  
Non-office work (n = 109) 2.250 (1.138–4.447) 0.020 1.898 (0.906–3.973) 0.089
Sick leave No (n = 174) 1 (ref)   1 (ref)  
Yes (n = 95) 2.950 (1.485–5.859) 0.002 2.514 (1.202–5.261) 0.014*
  1. * < 0.05