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Table 4 Determinants of induced abortion (bivariate and multivariate analysis)

From: Extent of induced abortions and occurrence of complications in Kinshasa, Democratic Republic of the Congo

 

Induced abortion

Bivariate analysis

Multivariate analysis (LR)

Independent variables

Crude OR (CI95%)

p

Adjusted OR (CI95%)

p

Adolescence (≤ to 19 yrs)

 

NS

  

Yes (n’ = 243)

1.6 (0.9–2.7)

   

No (n’ = 1201)

1

   

Patient’s residence

 

NS

  

Quarters of old cities (n’ = 285)

1.8 (0.8–4.1)

   

Eccentric quarters and of extension (n’ = 403)

1.6 (0.8–3.7)

   

Residential quarters (n’ = 171)

2.1 (0.8–5.0)

   

Semi-rural quarters (n’ = 278)

2.4 (1.1–5.4)

   

Quarters of planned cities (n’ = 307)

1

   

Level of education of the confidante

 

0.005

 

0.044

None/Primary (n’ = 333)

2.9 (1.5–6.2)

 

2.2 (1.1-4.8)

 

Secondary (n’ = 710)

1.9 (0.9–3.8)

   

High (n’ = 401)

1

 

1

 

Income of the confidante

 

NS

  

No income (n’ = 790)

1.3 (0.8–2.1)

   

Worker (n’ = 652)

1

   

Marital status of the confidante

 

0.010

 

0.002

Single/separated/divorced/widowed (n’ = 842)

1.9 (1.2–3.2)

 

2.7 (1.4 4.9)

 

Married/cohabiting (n’ = 601)

1

 

1

 

Parity of the confidante

 

NS

  

Nulliparous (n’ = 685)

1.0 (0.6–1.5)

   

Primiparous/Multiparous (n’ = 758)

1

   

Abortion background of the confidante

 

NS

  

One or several abortions (n’ = 1191)

1.3 (0.7–2.7)

   

No abortion background (n’ = 253)

1

   

Excessive use of alcohol

 

< 0.001

 

< 0.001

Yes (n’ = 504)

2.8 (1.7–4.4)

 

3.2 (2.2–6.9)

 

No (n’ = 940)

1

 

1

 

Use of tobacco by the confidante

 

NS

  

Yes (n’ = 20)

1.9 (0.4–8.5)

   

No (n’ = 1424)

1

   
  1. With: OR = Odds Ratio; P = p-value; LR = logistic regression