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Table 3 Binary logistic regression–Sociodemographic variables

From: Limitations and consequences of public health models centred on hospitals and lacking connections with territorial and home-based social and health services

Variablesa

Univariate OR (95%CI)

p

Multivariate OR (95%CI)

p

Citizenship

 

NS

1,3 (1,105–1,430)

 < 0,001

Municipality VI

2,43 (2,212 – 2,659)

 < 0,001

2,40 (2,213–2,663)

 < 0,001

Age

0.75 (0,681 – 0,830)

 < 0,001

0,80 (0.709—0.869))

 < 0,001

Gender

0.603 (0.548 – 0.665)

 < 0,001

0.609 (0.553 – 0.671)

 < 0,001

  1. acitizenship: 0 = foreign, 1 = Italian
  2. City Hall VI: 0 = other city hall, 1 = City Hall VI
  3. Age: 0 =  < 65 years old; 1 =  > 65 years old
  4. Gender: 0 = male, 1 = female
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International Journal of Emergency Medicine

ISSN: 1865-1380

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