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Table 3 Adjusted logistic regression analysis to examine the risk of death from TB within various socio-demographic characteristics

From: Characterisation of tuberculosis mortality in informal settlements in Nairobi, Kenya: analysis of data between 2002 and 2016

Variables

AOR

95% CI

Wald P value

LR P value

 

Lower

Upper

  

Sex

 Female

Ref

   

P = 0.001

 Male

1.39

1.18

1.64

< 0.001

Age category (Years)

 0–9

0.02

0.01

0.03

< 0.001

p < 0.001

 10–19

0.43

0.27

0.68

< 0.001

 20–29

0.73

0.58

0.92

0.007

 30–39

Ref

   

 40–49

1.02

0.82

1.27

0.863

 50 plus

0.58

0.47

0.73

< 0.001

Slum area

 Korogocho

Ref

   

0.786

 Viwandani

1.02

0.86

1.20

0.828

Year of death categories

 2002–2005

Ref

   

p < 0.001

 2006–2009

1.06

0.86

1.31

0.57

 2010–2013

0.90

0.73

1.10

0.289

 2014–2016

0.49

0.37

0.65

< 0.001

Place of death

 Health facility

Ref

   

p < 0.001

 House

1.39

1.17

1.64

< 0.001

 En route to health facility

1.23

0.83

1.83

0.297

 Other

0.51

0.29

0.90

0.02

 Missing

2.07

0.09

46.97

0.647

Sought healthcare for illness/injury

 Yes

Ref

   

p < 0.001

 No

0.06

0.04

0.10

< 0.001

 Don’t know

0.57

0.25

1.32

0.193

 Missing

0.17

0.01

3.53

0.254

  1. CI Confidence interval, AOR Adjusted odds ratio, adjusted for the variables in the table, Ref Reference group, LR Likelihood ratio