Pregnant or Positive: Adolescent Childbearing and HIV Risk in KwaZulu Natal, South Africa

Figures & data

Table 2 Logistic regression model predicting proportion for whom a pregnancy would present a big problem among sexually active adolescents, KwaZulu Natal, South Africa, 1999

Variable	Adolescent boys odds ratio	Adolescent girls odds ratio
Age
14–15 (r)	1.00	1.00
16–19	0.40	0.89
20–22	0.22	0.51
Race
Other (r)	1.00	1.00
African	0.26	3.08
Relationship status
Steady Relationship (r)	1.00	1.00
Single	0.62	1.57
Knows someone who died of AIDS
No (r)	1.00	1.00
Yes	0.81	1.14
Household wealth index	.68	1.37
Parents living in household
Both (r)	1.00	1.00
One	0.72	1.41
Neither	0.95	0.98
Number of household shocks	1.13	0.95
Young people enrolled in school
<51% (r)	1.00	1.00
51−75%	0.47	1.00
76−100%	0.37	3.38
Working in community (%)	0.50	1.36
Perceive friends are at risk of acquiring HIV(%)	0.83	10.01
Adults who think that youth are at risk of acquiring HIV (continuous 1=low to 3=high)	3.00	0.74
Sample size (weighted)	(677)	(720)
Log likelihood	−348.359	−322.409
Prob >F	<0.001	<0.001
Pseudo R^2	0.106	0.115

** Significance p≤0.01

* p≤0.05

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