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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