Skip to main content
. Author manuscript; available in PMC: 2013 Nov 21.
Published in final edited form as: Am J Trop Med Hyg. 2007 Dec;77(6):1163–1169.

Table 1.

Univariate association between HIV infection and area characteristic; Parameter estimates from single variable logistic regression spatial models of HIV prevalence in 15–24 year-old persons in South Africa, by sex*

Odds ratios
Area characteristic Median 95% CI P
Women
 Urban residence, relative to
  rural
0.94 0.75–1.22 0.65
 Proportion African Black,
  per %
1.011 1.007–1.014 < 0.0001
 Proportion of 20–64 year-old
  persons unemployed,
  per %
1.0062 1.0007–1.0117 0.032
 Population density, per 1,000
  per km2
1.0002 0.9999–1.0004 0.24
 Proportion of households
  informal, per %
1.0037 1.0011–1.0063 0.006
 Proportion of 15–19 year-old
  persons dropped out of
  school, per %
1.0051 1.0005–1.0097 0.031
Men
 Urban residence, relative to
  rural
1.59 1.13–2.21 0.007
 Proportion African Black,
  per %
1.0048 1.0010–1.0099 0.028
 Proportion of 20–64 year-old
  persons unemployed,
  per %
1.0083 1.0001–1.0170 0.062
 Population density, per 1,000
  per km2
1.0002 0.9999–1.0005 0.21
 Proportion of households
  informal, per %
1.0005 0.9957–1.0045 0.87
 Proportion of 15–19 year-old
  persons dropped out of
  school, per %
1.0045 0.9980–1.0128 0.20
*

HIV = human immunodeficiency virus; CI = confidence interval.