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Table 4 Relationship of sociodemographic factors with mortality from obstetric causes: Differences between direct and indirect causes

From: Influence of sociodemographic and obstetric factors on maternal mortality in Brazil from 2011 to 2021

    

Collinearity Statistics

 

Odds ratio

CI 95%

p value

Tolerance

VIF

Year

1.126

(1,106–1,145)

< 0.001

0.965

1.036

Region (North)

  

0.005

0.889

1.125

 Northeast

1.000

(0.786–1.236)

0.903

  

 Southeast

1.336

(1.068–1,670)

0.011

  

 South

1.120

(0,860–1.459)

0.399

  

 Midwest

1.198

(0.945–1.592)

0.125

  

Age group (10 to 14 years)

  

< 0.001

0.962

1.039

 15 to 19 years

1.401

(0.662–2.966)

0.378

  

 20 to 29 years

2.064

(0.988–4.314)

0.054

  

 30 to 39 years

1.785

(0.853–3.737)

0.124

  

 40 to 49 years

1.743

(0.817–3.720)

0.151

  

Race/Ethnicity (White)

  

0.005

0.907

1.103

 Black

0.764

(0.636–0.918)

0.004

  

 Yellow

0.650

(0.234–1.806)

0.409

  

 Brown

0.823

(0.723–0.937)

0.003

  

 Indigenous

0.502

(0.264–0.955)

0.036

  

Marital status (Single)

  

0.024

0.975

1.026

 Married

0.890

(0.779–1.014)

0.079

  

 Widowed

0.958

(0.453–1.811)

0.780

  

 Separated

0.786

(0.546–1.144)

0.213

  

 Common-law marriage

0.764

(0.642–0.904)

0.002

  

Education (None)

  

0.523

0.922

1.084

 1 to 3 years

1.117

(0.690–1.806)

0.653

  

 4 to 7 years

1.042

(0.656–1.655)

0.861

  

 8 to 11 years

1.041

(0.658–1.648)

0.864

  

 12 or more years

1.198

(0.743–1.933)

0.458

  

Source of investigation (Maternal Mortality Committee)

  

0.373

0.931

1.074

 Home Visit (Family)

1.041

(0.837–1.295)

0.718

  

 Medical Records

0.892

(0.775–1.026)

0.109

  

 Forensic Medical Institute

0.869

(0.602–1.254)

0.454

  

 Death Verification Service

1.000

(0.570–1.292)

0.465

  
  1. p < 0.05, binary logistic regression with main effects