Table 5.
Cases | Controls | ORd | 95% CI | P value | |||
---|---|---|---|---|---|---|---|
n/N (%)a | n/N (%) | ||||||
for interaction | |||||||
Total | 136/224 | 60.7 | 411/2,193 | 18.7 | |||
Sex | |||||||
Male | 122/198 | 61.6 | 348/1,933 | 18.0 | 8.8 | 6.3 to 12.3 | 0.14 |
Female | 14/26 | 53.8 | 63/260 | 24.2 | 4.3 | 1.8 to 10.4 | |
Age category (at index date) | |||||||
18 to 39 years | 49/80 | 61.3 | 140/788 | 17.8 | 10.8 | 6.0 to 19.3 | |
40 to 49 years | 60/97 | 61.9 | 168/946 | 17.8 | 8.1 | 5.1 to 12.9 | 0.29 |
> 50 years | 27/47 | 57.4 | 103/459 | 22.4 | 5.4 | 2.8 to 10.3 | |
Urbanisation levelb | |||||||
High urban (>2,500 addresses per km2) | 42/76 | 55.3 | 117/633 | 18.5 | 7.4 | 4.2 to 13.0 | 0.49 |
Low urban (<2,500 addresses per km2) | 58/83 | 69.9 | 201/948 | 21.2 | 9.7 | 5.7 to 16.2 | |
Missingc | 36/65 | 55.4 | 103/612 | 16.8 |
a n = number of cases or controls with HIV indicator conditions, N = total number of cases or controls, % = percentage with HIV indicator condition
bHigh urban: >2,500 addresses per km2; low urban: < 2,500 addresses/km2
cSubjects with missing urbanisation level were not included in the analysis
dadditional effect of gender/age/urbanisation level on the likelihood for an HIV-diagnosis after presence of HIV indicator conditions