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Table 5 Multivariable analysis of infections at the stage of AIDS1 including interaction term between GISD2 and city size (only MSM3)

From: The impact of regional socioeconomic deprivation on the timing of HIV diagnosis: a cross-sectional study in Germany

n = 8198

 

Countryside (< 100 k residents)

Town/Major city (> = 100 k residents)

 

n (%)†

aPR [95% CI]‡

p-value

n (%)†

aPR [95% CI]‡

p-value

GISD1

      

 Low deprivation

66 (12.3%)

1

 

187 (11.1%)

1

 

 Medium deprivation

268 (13.7%)

1.12 [0.88, 1.42]

0.373

326 (10.2%)

0.92 [0.77, 1.10]

0.348

 High deprivation

92 (17.2%)

1.41 [1.08, 1.85]

0.013

34 (12.5%)

1.12 [0.75, 1.68]

0.587

  1. 1AIDS Evidence of AIDS-defining illness, 2GISD German Index of Socioeconomic Deprivation, 3MSM Men who have sex with men
  2. †Strata specific number and proportion of infections at the stage of AIDS at the time of diagnosis
  3. ‡Prevalence ratios with corresponding 95% confidence intervals of infections at the stage of AIDS at the time of diagnosis were calculated for the exposure variable GISD using multivariable Poisson regression with ZIP code cluster-robust error variance (standard errors were adjusted for 644 clusters). The model was stratified for MSM and adjusted for the variables of approximated age at the time of infection, region of origin and city size. For simplicity purposes, only strata specific effect estimates of the GISD conditional on countryside vs. town/major city are depicted. The effect estimates of the remaining covariates are nearly identical as presented in Table 4 in the MSM stratum