1. Correlates of ever had sex among perinatally HIV-infected adolescents in Uganda.   Scovia Nalugo Mbalinda, Noah Kiwanuka, Lars E. Ericksson, Rhoda Wanyenze, Dan Kabonge Kaye     Society of Adolescent Health in Ugand Fourth Clinical and Scientific Meeting Hotel Africana, Kampala,Uganda March 29-30th 2017

2. Introduction
Globally 2.1 million adolescents aged years are living with HIV (1)
About 260,000 new HIV infections in children and 2.9 million children living with HIV in2012 (2).
2 million of ALHIV are in sub-Saharan Africa and 70% are in ten countries (South Africa, Nigeria, Kenya, Tanzania, Uganda, Zimbabwe, Mozambique, Zambia, Ethiopia and Malawi)(1).
In Uganda, 110,000 adolescents were living with HIV in Uganda(3)

3. Introduction
Immune system was not developed results in distinctive chronic clinical complications and challenges include:
Chronic illness, psychosocial issues, adherence to drugs, physical and psychological changes and constant fear of death and an uncertain life course (Domek, 2009; Flicker et al., 2005)
Negotiate sexual relationship - risk of pregnancy, acquiring STIs and transmitting HIV.

4. Introduction Emerging population.
Adolescents Programs have been focusing of primary HIV prevention.
Determinants of being sexually active for HIV perinatally infected adolescents are not well known
What are the sexual and reproductive health experiences of HIV perinatally infected adolescents?

5. Methodology Cross-sectional study Clinic-based recruitment
Young people 10 and 19 years.
Known HIV status
HIV perinatally infected

6. Results Median age 16 years (IQR:15-18)
Variable
Number (N=624)
Percentage
Gender
Females
370
59.3
Age groups
10 – 14 years
114
18.3
Education status
Out of school
166
26.6
Parenthood status
Both parents
One parent (one dead)
Total orphan
156
196
264
25.0
31.4
42.3

7. Results 2:Baseline characteristics of HIV perinatally-infected adolescents in Uganda.
Total (N)
n (%)
Currently on ARVs
Yes
624
519 (83.2)
Ever had boy/girlfriend?
396 (63.5)
Ever had sex
213 (34.1)
Used a condom at last sex No
213
93 (43.7)
Consistent condom use
48(22.6)
Ever been pregnant
144
82(56.9)
Ever made someone pregnant 69
23(33.3)
Aware of HIV status of partner
396
223(56.3)
Partner HIV +
173
86(49.7)
Been treated for an STD/STI
101 (16.2)

8. Adjusted effects for predictors of being sexually active from a multiple logistic regression.
Age groups
Ever had sex
Adjusted (OR (95% CI)
P- Value
Yes No
10 – 14 years
6 (2.82)
108 (26.41) 1
15 – 19 years
207 (97.18)
301 (73.59)
6.28 (2.63 – 14.99)
0.000
Education status
Out of school
111 (52.11)
55 (13.38)
In school
102 (47.89)
356 (86.62)
0.20 (0.13 – 0.30)
Ever been treated for an STD/STI
73 (34.43)
28 (6.86)
139 (65.57)
380 (93.14)
0.19 (0.11 – 0.32)
Ever drunk alcohol
44 (20.66)
37 (9.00)
169 (79.34)
374 (91.00)
0.49 (0.28 –0.87)
0.015

9. Conclusion, Discussion
HIV positive adolescents were in relationships and were sexually active. (Ezeanolue, Wodi et al. 2006; Bakeera-Kitaka, Nabukeera-Barungi et al. 2008; Birungi, Obare et al. 2009; Fernet, Wong et al. 2011; Bauermeister, Elkington et al. 2012)
Majority of adolescents did not know the sero status of their partners (Andriamahenina, Ravelojaona et al. 1998; Birungi, Obare et al. 2009; Fair and Albright 2012; Mhalu, Leyna et al ).

10. The majority of the sexually active were inconsistently using condoms or not using condoms at all. (Beyeza-Kashesya, Kaharuza et al. 2011; Mhalu, Leyna et al. 2013).
Being sexually active was associated with adolescents aged years, not being in school, staying alone and having ever drunk alcohol (Santelli, Robin et al. 2001; Elkington, Bauermeister et al ).

11. Recommendation
Comprehensive SRH especially Risk reduction programs with focus on underlying risks; out of school adolescents, alcohol use in the routine running of ART care are required.

12. Limitations
Cross sectional study designs, these do not demonstrate causality.
Potential of recall bias or under-reporting of sexual behavior.
Some participant selection we did not have information available on the mother’s HIV status lead some misclassification bias.

13. Acknowledgement Supervisors Participants Funders. MEPI MESAU, CARTA.
SAHU