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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