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Table 4 Multivariate Analysis of HCV Notifications in South Australia 2010–2016

From: RETRACTED ARTICLE: The distribution and socioeconomic burden of Hepatitis C virus in South Australia: a cross-sectional study 2010–2016

 

Rate ratio

(95%CI)

Rate difference

(95%CI)

p-Value*

MODEL 1:

HCV notifications in low SEIFA IER

postal areas (<= median; n = 3409)#

 History of imprisonment

1.54 (1.11–2.14)

0.23 (0.00–0.45)

0.010

 Employment

1.54 (1.27–1.87)

0.18 (− 0.01–0.38)

< 0.001

 Female

1.02 (1.01–1.02)

−0.01(− 0.18–0.16)

< 0.001

 Non-Indigenous

1.16 (0.86–1.57)

0.15 (− 0.07–0.36)

0.322

 Injecting Drugs last 2 years

1.16 (0.82–1.63)

−0.12 (− 0.08–0.33)

0.397

 Younger than median age (42)

1.13 (0.84–1.53)

−0.05 (− 0.13–0.24)

0.421

MODEL 2:

Non-employment notifications

(n = 2425)#

 Injecting drugs last 2 years

1.37 (0.18–1.59)

0.18 (0.05–0.31)

< 0.001

 Non-Australian origin

1.27 (1.17–0.14)

0.08 (− 0.05–0.29)

< 0.001

 Younger than mean age (42)

1.28 (1.07–1.41)

0.14 (− 0.03–0.24)

0.003

 Indigenous Australian

1.18 (1.09–0.28)

0.13 (0.06–0.20)

< 0.001

 Female Sex

1.04 (1.04–1.04)

0.02 (− 0.02–0.02)

< 0.001

MODEL 3:

IDU notifications (n = 3311)#

 Australian origin

3.51 (1.70–7.24)

0.51 (0.37–0.66)

0.001

 History of imprisonment

1.56 (1.28–1.91)

0.31 (0.18–0.44)

< 0.001

 Older than mean age (42)

1.12 (1.04–1.20)

0.02 (− 0.02–0.03)

0.002

 Indigenous Australian

1.14 (1.06–1.23)

0.11 (0.05–0.17)

< 0.001

 Male Sexa

1.06 (1.06–1.06)

0.02 (0.02–0.02)

< 0.001

 Non-employment

1.18 (0.82–1.70)

0.15 (0.03–0.27)

0.367

  1. Bold type indicates statistical significance at p-value < 0.05
  2. IDU Injecting drug use
  3. *Tested via binomial logistic regression
  4. #Hosmer-Lemeshow test p-value > 0.05
  5. aonly in males aged older than 42 years.