Research Article
Impact of National HIV and AIDS Communication Campaigns in South Africa to Reduce HIV Risk Behaviour
Table 3
Association of demographic characteristics and overall exposure to HIV communication campaigns (
).
| Demographic characteristics | (%) | AOR (95% CI) | value* |
| Age | | | | 15–24 | 5344 (35.1) | 1.00 | | 26–35 | 2644 (29.3) | 0.77 (0.65–0.90) | 0.001 | 36–55 | 5246 (35.6) | 0.71 (0.61–0.82) | <0.001 | Sex | | | | Women | 7518 (52.0) | 1.00 | | Men | 5716 (48.0) | 1.05 (0.92–1.20) | 0.481 | Education | | | | Grade 0–7 | 2266 (19.8) | 1.00 | | Grade 8–11 | 5288 (42.8) | 3.14 (2.61–3.78) | <0.001 | Grade 12 or more | 4775 (37.4) | 5.34 (4.36–6.54) | <0.001 | Geolocality | | | | Urban formal | 8290 (54.2) | 1.00 | | Urban informal | 1577 (10.2) | 0.55 (0.42–0.73) | <0.001 | Rural | 3367 (35.6) | 0.34 (0.27–0.42) | <0.001 | Population group | | | | White | 1509 (9.2) | 1.00 | | Black African | 7750 (78.5) | 0.10 (0.07–0.13) | <0.001 | Coloured | 2512 (9.6) | 0.70 (0.55–0.89) | 0.003 | Indian or Asian | 1428 (2.6) | 0.32 (0.19–0.54) | <0.001 |
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Adjusted odds ratio: AOR. *Significance tested using logistic regression at value <0.05.
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