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Table 3 Multivariable analysis of non-recent HIV infections including interaction term between GISD1 and city size (only MSM2)

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

 

n = 6511

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

234 (59.9%)

1

 

815 (62.2%)

1

 

 Medium deprivation

1090 (64.7%)

1.09 [1.01, 1.18]

0.033

1521 (60.4%)

0.97 [0.92, 1.03]

0.350

 High deprivation

251 (68.8%)

1.16 [1.05, 1.28]

0.004

147 (61.8%)

1.00 [0.92, 1.09]

0.953

  1. 1GISD German Index of Socioeconomic Deprivation, 2MSM Men who have sex with men
  2. †Strata specific number and proportion of non-recent infections at the time of diagnosis
  3. ‡Prevalence ratios with corresponding 95% confidence intervals of non-recent infections 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 626 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 2 in the MSM stratum
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BMC Infectious Diseases

ISSN: 1471-2334

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