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Table 6 Association between socio-demographic and HIV related factors and delayed onset of HIV treatment among HIV patients

From: Frequency and reasons for delayed treatment initiation after HIV diagnosis: cross-sectional study in Lahore, Pakistan

Variables ORa 95% CI P-value AORb 95% CI P-value
Lower Upper Lower Upper
District
 Lahore 0.666 0.417 1.064 0.089 0.518 0.308 0.872 0.013
 Other 1     1    
Place of residence
 Urban 0.497 0.285 0.868 0.014 0.446 0.239 0.831 0.011
 Rural 1     1    
Educational level
 No schooling 4.060 1.126 14.632 0.032 5.916 1.378 25.408 0.017
 Primary 2.631 0.708 9.776 0.149 3.576 0.881 14.519 0.075
 Secondary 1.259 0.333 4.758 0.734 1.609 0.401 6.447 0.502
 College 1.030 0.229 4.638 0.969 1.329 0.272 6.488 0.725
 University 1     1    
Employment status
 Employed 1     1    
 Unemployed 1.883 1.181 3.003 0.008 0.257 0.062 1.065 0.061
Type of household income
 Permanent income 1     1    
 Occasional income 2.217 1.387 3.542 0.001 3.885 1.014 14.889 0.048
Initial CD4 count
(cells/mm)3
  < 200 0.509 0.284 0.912 0.023 0.479 0.248 0.925 0.028
 200–349 1.125 0.635 1.993 0.686 1.326 0.707 2.486 0.380
  > 349 1     1    
Reason for HIV testing
 Symptoms 0.992 0.368 2.675 0.987 0.900 0.302 2.684 0.849
 HIV-positive partner 1.176 0.408 3.392 0.764 1.255 0.393 4.007 0.702
 Routine offer 1.882 0.676 5.242 0.196 2.281 0.742 7.008 0.150
 Pregnancy 0.750 0.179 3.144 0.694 0.692 0.143 3.351 0.647
 Just wanted to know 1     1    
Any associated chronic disease
 Present 1.401 0.882 2.226 0.153 1.590 0.949 2.665 0.078
 Absent 1     1    
  1. 1 = reference category
  2. aOR Odds ratio
  3. bAOR Adjusted odds ratio. Results obtained from final model after applying backward stepwise multivariable logistic regression