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Table 4 Univariable and multivariable logistic regression analysis regarding risk factors for taking sick leave

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 = 117) 1 (ref)   1 (ref)  
≥47 (n = 112) 0.983 (0.562–1.717) 0.951 0.777 (0.432–1.396) 0.398
Education level Higher (university, graduate school) (n = 69) 1 (ref)   1 (ref)  
Lower (high school, vocational school, junior college) (n = 160) 1.303 (0.700–2.429) 0.404 1.202 (0.624–2.316) 0.583
Cancer stage Early (0, I) (n = 145) 1 (ref)   1 (ref)  
Advanced (II–IV) (n = 84) 1.759 (0.993–3.114) 0.053 1.545 (0.818–2.919) 0.180
Surgery No (n = 18) 1 (ref)   1 (ref)  
Yes (n = 211) 8.621 (1.125–66.099) 0.038 8.311 (1.007–68.621) 0.049*
Chemotherapy No (n = 61) 1 (ref)   1 (ref)  
Yes (n = 168) 1.406 (0.731–2.706) 0.307 0.969 (0.454–2.069) 0.935
Radiotherapy No (n = 78) 1 (ref)   1 (ref)  
Yes (n = 151) 0.958 (0.533–1.724) 0.886 0.884 (0.467–1.672) 0.704
Employment status Permanent (n = 100) 1 (ref)   1 (ref)  
Non-permanent
(n = 129)
1.577 (0.889–2.800) 0.120 1.373 (0.751–2.508) 0.303
Occupation type Office work (n = 143) 1 (ref)   1 (ref)  
Non-office work (n = 86) 1.660 (0.939–2.935) 0.081 1.457 (0.793–2.677) 0.225
  1. * < 0.05