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Associated Risk Factors of Sexually
Transmitted Infections (STIs) and HIV Co-
Infection among Youth Living in the Slums
of Kampala
Rachel Culbreth, MPH
Monica H. Swahn, Ph.D.*
Laura Salazar, Ph.D.
Rogers Kasirye, M.A.
Presentation for APHA Annual Meeting 2016
Denver, Colorado
Funding Acknowledgment
• Research reported in this presentation was supported by the
National Institute on Alcohol Abuse and Alcoholism of the
National Institutes of Health under Award Number R21AA22065
(to Dr. Swahn).
• The content is solely the responsibility of the authors and does
not necessarily represent the official views of the National
Institutes of Health.
• Grant is funded as the development of a structural intervention
to delay underage alcohol use and prevent alcohol-related HIV
transmissions among youth in the slums of Kampala.
• There are no conflicts of interests to disclose
Presenter Disclosures
Presenter: Rachel Culbreth
The following personal financial relationships with
commercial interests relevant to this presentation
existed during the past 12 months:
No relationships to disclose
HIV Rates Worldwide
Source:
http://www.who.int/gho/hiv/en/.
• Uganda has a 6.5% HIV prevalence1
• Uganda is one of the few countries in sub-Saharan
Africa where rates are increasing rather than
decreasing2
• HIV rates are particularly high among youth living in
the slums of Kampala (13.9%) 3
HIV Rates: Uganda
Image: http://www.bbc.com/news/world-africa-14107906
HIV/STI Co-Infection
• STI co-infection is a serious concern among youth who
are living with HIV
• Estimated prevalence of STI co-infection among HIV+
persons is 11.3% in Africa3
• HIV+ persons may experience increased risk of mortality
from co-infection with certain STIs (hepatitis C) 4
• HIV/Herpes Simplex 2 virus co-infection associated with
higher detectable HIV viral load5
• Presence of STIs also increases risk of HIV acquisition6
Image: http://pulse.seattlechildrens.org/hiv-ribbon/
HIV/STI Co-Infection
• More research is needed to
investigate risk factors for co-
morbidities of HIV, particularly STI’s
• Knowledge of risk factors for HIV/STI
co-infection can further inform HIV
care and treatment for youth
• There are no studies, to our
knowledge, that examine risk
factors for HIV/STI co-infection
among youth living in the slums in
sub-Saharan Africa http://www.cdc.gov/actagainstaids/campaign
s/hivtreatmentworks/resources/infographics.
html
Research Questions
• What is the prevalence of HIV/STI co-infection
among sexually active youth in Kampala?
• What are the associated risk factors with HIV/STI
co-infection?
• Hypothesized risk factors (alcohol use, past 3-month
condom use, sex work)
• Sociodemographic variables (age, sex, education)
Overview of 2014 Cross-Sectional Study
• Cross-sectional study of Uganda
Youth Development Link (UYDEL)
youth conducted in March and April
of 2014 to quantify and describe
high-risk behaviors and exposures
• Convenience Sample (N=1134) of
urban youth living on the streets or
in the slums
• 12-18 years of age
• Tablet administered (30 mins)
• 91.6% participation rate
Approved by GSU IRB and
Uganda (UNCST)
Survey Administration
• The survey questionnaire was modeled from
the YRBS (CDC), the international Global
School-based Student Health Survey (WHO),
Demographic Health Survey.
• Survey questions addressed demographic
characteristics, family context, alcohol use,
alcohol marketing, violence and suicidal
behaviors, sexual behaviors, STDs and
HIV/AIDS.
• Surveys were administered by trained social
workers and peer educators. Data was
collected using electronic tablets.
Participant Demographic Characteristics
• 44% boys
• 46% were 16 years or younger
• 41% of participants households use 1 room for
sleeping
• 22% have lived on the streets
• 22% are orphans
• 35% Christian-catholic; 33% Christian other; 25%
Muslim
Methods
• Operationalization of Outcome:
• Presence of HIV/STIs self reported
• HIV: “Have you ever been told by a doctor/nurse or HIV
counselor that you have HIV?”
• STIs: “Have you ever been told by a doctor/nurse or HIV
counselor that you have a sexually transmitted infection such
as syphilis, herpes, bola bola, or gonorrhea?”
• Multilevel outcome: HIV/STI co-infection, HIV infection only,
STI infection only, No HIV/STI infection
• Operationalization of Independent variables:
• Alcohol use: past 12-month use
• Inconsistent condom use in the past 3 months
• Sex work self-reported as engaging in commercial sex
work
• Sociodemographic variables: age, sex, education
Methods
Data Analysis
• Only sexually active youth were included in the sample
(n=586)
• Descriptive statistics among HIV/STI levels
• Multinomial logistic regression analysis with 4-level
HIV/STI co-infection outcome
• Hypothesized risk factors (alcohol use, inconsistent
condom use in the past 3 months, and sex work)
• Controlling for demographic variables (age, sex, and
education)
• Pairwise comparisons were examined by inputting each
HIV/STI co-infection level as the referent group
Results
• 9.90% (n=58) reported HIV/STI co-infection
• 3.92% (n=23) reported HIV only
• 42.38% (n=251) reported STI only
• 43.35% (n=254) reported no infection
• Overall, 71.60% of youth living with HIV reported
co-infection with an STI
Descriptive Statistics among Youth
Demographic/ Risk
Factor Variable
STI Only
(n=251)
42.83%
HIV Only
(n=23)
3.92%
HIV/STI Co-
Infection
(n=58)
9.90%
Gender, n (%)
Male
Female
88 (35.06%)
163 (64.94%)
16 (69.57%)
7 (30.43%)
15 (25.86%)
43 (74.14%)
Age, n (%)
12-14 years
15-16 years
17-18 years
7 (2.79%)
60 (23.90%)
184 (73.31%)
1 (4.35%)
6 (26.09%)
16 (69.57%)
7 (12.07%)
11 (18.97%)
40 (68.97%)
Education, n (%)
Primary or less
Secondary or higher
143 (57.89%)
104 (42.11%)
9 (39.13%)
14 (60.87%)
35 (61.40%)
22 (38.60%)
Descriptive Statistics among Youth
Demographic/ Risk
Factor Variable
STI Only
(n=251)
42.83%
HIV Only
(n=23)
3.92%
HIV/STI Co-
Infection
(n=58)
9.90%
Past 3-month condom
use
No
Yes
66 (26.29%)
185 (73.71%)
11 (47.83%)
12 (52.17%)
21 (36.21%)
37 (63.79%)
Past 12-month alcohol
use
Yes
No
145 (57.77%)
106 (42.23%)
12 (52.17%)
11 (47.3%)
39 (67.24%)
19 (32.76%)
Engaged in sex work
Yes
No
45 (17.93%)
206 (82.07%)
1 (4.35%)
22 (95.65%)
17 (29.31%)
41 (70.69%)
Bivariate and Multivariable Analyses
Adjusted OR
STI only HIV only HIV/STI co-
infection
Gender
Male
Female
1.00
1.53 (1.04,, 2.25)
1.00
.42 (.16, 1.08)
1.00
2.01 (1.01, 4.02)
Age
12-14 years
15-16 years
17-18 years
1.00
2.18 (.81, 5.88)
2.08 (.80, 5.40)
1.00
1.60 (.17, 14.76)
.98 (.11, 8.44)
1.00
.54 (.16, 1.81)
.60 (.20, 1.81)
Education
Primary or less
Secondary or higher
1.00
.79 (.54, 1.16)
1.00
1.78 (.71, 4.49)
1.00
.73 (.39, 1.38)
Bivariate and Multivariable Analyses
Adjusted OR
STI only HIV only HIV/STI co-
infection
Past 3-month
condom use
No
Yes
.56 (.37, .83)
1.00
1.12 (.45, 2.78)
1.00
1.01(.52, 1.96)
1.00
Past 12-month
alcohol use
Yes
No
1.79 (1.21, 2.64)
1.00
1.86 (.75, 4.63)
1.00
3.00 (1.52, 5.89)
1.00
Engaged in sex
work
Yes
No
1.71 (.90, 3.25)
1.00
.79 (.09, 6.84)
1.00
2.97 (1.28, 6.88)
1.00
Discussion
• Nearly 10% of sexually active youth reported HIV/STI co-infection
• Nearly ¾ of youth who reported HIV also reported STIs
• This is nearly 7 times higher compared to the estimate of co-infection
with STIs among HIV+ persons in literature3
• Alcohol use was associated with STI only and HIV/STI co-infection
• Engaging in sex work was associated with HIV/STI co-infection
https://www.cdc.gov/std/hiv/
Limitations
• Self-reported HIV/STIs
• Convenience sample (hard-to-reach population)
• Future studies would benefit from obtaining
HIV/STI tests
• Type of STI could not be ascertained from this study
Implications
• Despite limitations, this is the first study to assess HIV/STI
co-infection among youth living in the slums of Kampala
• Future studies should further examine which types of STIs
are highly prevalent
• Preventative strategies should aim at increasing capacity at
HIV/STI testing centers
• Raising awareness of the complications of HIV/STI co-
infection is warranted
• Prevention initiatives should also target prevention of
alcohol use among youth
Uganda Youth Development Link’s
Response to HIV/STIs among youth
• HIV prevention center that provides counselling
• Child rights protection
• Alcohol and substance use programs
• Other adolescent sexual and reproductive health
programs
References
• 1. World Health Organization Global Health Observatory Data. Uganda
Country Data and Statistics. http://www.who.int/gho/countries/uga/en/.
• 2. UNAIDS. Gap Report.; 2014.
http://www.unaids.org/sites/default/files/media_asset/UNAIDS_Gap_report_e
n.pdf.
• 3. Swahn MH, Culbreth R, Salazar LF, Kasirye R, Seeley J. Prevalence of HIV
and Associated Risks of Sex Work among Youth in the Slums of Kampala. AIDS
Res Treat. 2016;2016:5360180. doi:10.1155/2016/5360180.
• 4. Weis N, Lindhardt BO, Kronborg G, et al. Impact of hepatitis C virus
coinfection on response to highly active antiretroviral therapy and outcome in
HIV-infected individuals: a nationwide cohort study. Clin Infect Dis Off Publ Infect
Dis Soc Am. 2006;42(10):1481-1487. doi:10.1086/503569.
• 5. Duffus WA, Mermin J, Bunnell R, et al. Chronic herpes simplex virus type-
2 infection and HIV viral load. Int J STD AIDS. 2005;16(11):733-735.
doi:10.1258/095646205774763298.
• 6. Holmes K, Sparling P, Stamm W, et al. Sexually Transmitted Diseases,
Fourth Edition. 4 edition. New York: McGraw-Hill Professional; 2007.
Questions?
Contact Information:
Monica Swahn, Ph.D.
Professor, Epidemiology
and Biostatistics
School of Public Health
Georgia State University
Atlanta, GA, USA
Mswahn@gsu.edu
404-413-1148

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Associated Risk Factors of Sexually Transmitted Infections (STIs) and HIV Co-Infection among Youth Living in the Slums of Kampala

  • 1. Associated Risk Factors of Sexually Transmitted Infections (STIs) and HIV Co- Infection among Youth Living in the Slums of Kampala Rachel Culbreth, MPH Monica H. Swahn, Ph.D.* Laura Salazar, Ph.D. Rogers Kasirye, M.A. Presentation for APHA Annual Meeting 2016 Denver, Colorado
  • 2. Funding Acknowledgment • Research reported in this presentation was supported by the National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health under Award Number R21AA22065 (to Dr. Swahn). • The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. • Grant is funded as the development of a structural intervention to delay underage alcohol use and prevent alcohol-related HIV transmissions among youth in the slums of Kampala. • There are no conflicts of interests to disclose
  • 3. Presenter Disclosures Presenter: Rachel Culbreth The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months: No relationships to disclose
  • 5. • Uganda has a 6.5% HIV prevalence1 • Uganda is one of the few countries in sub-Saharan Africa where rates are increasing rather than decreasing2 • HIV rates are particularly high among youth living in the slums of Kampala (13.9%) 3 HIV Rates: Uganda Image: http://www.bbc.com/news/world-africa-14107906
  • 6. HIV/STI Co-Infection • STI co-infection is a serious concern among youth who are living with HIV • Estimated prevalence of STI co-infection among HIV+ persons is 11.3% in Africa3 • HIV+ persons may experience increased risk of mortality from co-infection with certain STIs (hepatitis C) 4 • HIV/Herpes Simplex 2 virus co-infection associated with higher detectable HIV viral load5 • Presence of STIs also increases risk of HIV acquisition6 Image: http://pulse.seattlechildrens.org/hiv-ribbon/
  • 7. HIV/STI Co-Infection • More research is needed to investigate risk factors for co- morbidities of HIV, particularly STI’s • Knowledge of risk factors for HIV/STI co-infection can further inform HIV care and treatment for youth • There are no studies, to our knowledge, that examine risk factors for HIV/STI co-infection among youth living in the slums in sub-Saharan Africa http://www.cdc.gov/actagainstaids/campaign s/hivtreatmentworks/resources/infographics. html
  • 8. Research Questions • What is the prevalence of HIV/STI co-infection among sexually active youth in Kampala? • What are the associated risk factors with HIV/STI co-infection? • Hypothesized risk factors (alcohol use, past 3-month condom use, sex work) • Sociodemographic variables (age, sex, education)
  • 9. Overview of 2014 Cross-Sectional Study • Cross-sectional study of Uganda Youth Development Link (UYDEL) youth conducted in March and April of 2014 to quantify and describe high-risk behaviors and exposures • Convenience Sample (N=1134) of urban youth living on the streets or in the slums • 12-18 years of age • Tablet administered (30 mins) • 91.6% participation rate Approved by GSU IRB and Uganda (UNCST)
  • 10. Survey Administration • The survey questionnaire was modeled from the YRBS (CDC), the international Global School-based Student Health Survey (WHO), Demographic Health Survey. • Survey questions addressed demographic characteristics, family context, alcohol use, alcohol marketing, violence and suicidal behaviors, sexual behaviors, STDs and HIV/AIDS. • Surveys were administered by trained social workers and peer educators. Data was collected using electronic tablets.
  • 11. Participant Demographic Characteristics • 44% boys • 46% were 16 years or younger • 41% of participants households use 1 room for sleeping • 22% have lived on the streets • 22% are orphans • 35% Christian-catholic; 33% Christian other; 25% Muslim
  • 12. Methods • Operationalization of Outcome: • Presence of HIV/STIs self reported • HIV: “Have you ever been told by a doctor/nurse or HIV counselor that you have HIV?” • STIs: “Have you ever been told by a doctor/nurse or HIV counselor that you have a sexually transmitted infection such as syphilis, herpes, bola bola, or gonorrhea?” • Multilevel outcome: HIV/STI co-infection, HIV infection only, STI infection only, No HIV/STI infection
  • 13. • Operationalization of Independent variables: • Alcohol use: past 12-month use • Inconsistent condom use in the past 3 months • Sex work self-reported as engaging in commercial sex work • Sociodemographic variables: age, sex, education Methods
  • 14. Data Analysis • Only sexually active youth were included in the sample (n=586) • Descriptive statistics among HIV/STI levels • Multinomial logistic regression analysis with 4-level HIV/STI co-infection outcome • Hypothesized risk factors (alcohol use, inconsistent condom use in the past 3 months, and sex work) • Controlling for demographic variables (age, sex, and education) • Pairwise comparisons were examined by inputting each HIV/STI co-infection level as the referent group
  • 15. Results • 9.90% (n=58) reported HIV/STI co-infection • 3.92% (n=23) reported HIV only • 42.38% (n=251) reported STI only • 43.35% (n=254) reported no infection • Overall, 71.60% of youth living with HIV reported co-infection with an STI
  • 16. Descriptive Statistics among Youth Demographic/ Risk Factor Variable STI Only (n=251) 42.83% HIV Only (n=23) 3.92% HIV/STI Co- Infection (n=58) 9.90% Gender, n (%) Male Female 88 (35.06%) 163 (64.94%) 16 (69.57%) 7 (30.43%) 15 (25.86%) 43 (74.14%) Age, n (%) 12-14 years 15-16 years 17-18 years 7 (2.79%) 60 (23.90%) 184 (73.31%) 1 (4.35%) 6 (26.09%) 16 (69.57%) 7 (12.07%) 11 (18.97%) 40 (68.97%) Education, n (%) Primary or less Secondary or higher 143 (57.89%) 104 (42.11%) 9 (39.13%) 14 (60.87%) 35 (61.40%) 22 (38.60%)
  • 17. Descriptive Statistics among Youth Demographic/ Risk Factor Variable STI Only (n=251) 42.83% HIV Only (n=23) 3.92% HIV/STI Co- Infection (n=58) 9.90% Past 3-month condom use No Yes 66 (26.29%) 185 (73.71%) 11 (47.83%) 12 (52.17%) 21 (36.21%) 37 (63.79%) Past 12-month alcohol use Yes No 145 (57.77%) 106 (42.23%) 12 (52.17%) 11 (47.3%) 39 (67.24%) 19 (32.76%) Engaged in sex work Yes No 45 (17.93%) 206 (82.07%) 1 (4.35%) 22 (95.65%) 17 (29.31%) 41 (70.69%)
  • 18. Bivariate and Multivariable Analyses Adjusted OR STI only HIV only HIV/STI co- infection Gender Male Female 1.00 1.53 (1.04,, 2.25) 1.00 .42 (.16, 1.08) 1.00 2.01 (1.01, 4.02) Age 12-14 years 15-16 years 17-18 years 1.00 2.18 (.81, 5.88) 2.08 (.80, 5.40) 1.00 1.60 (.17, 14.76) .98 (.11, 8.44) 1.00 .54 (.16, 1.81) .60 (.20, 1.81) Education Primary or less Secondary or higher 1.00 .79 (.54, 1.16) 1.00 1.78 (.71, 4.49) 1.00 .73 (.39, 1.38)
  • 19. Bivariate and Multivariable Analyses Adjusted OR STI only HIV only HIV/STI co- infection Past 3-month condom use No Yes .56 (.37, .83) 1.00 1.12 (.45, 2.78) 1.00 1.01(.52, 1.96) 1.00 Past 12-month alcohol use Yes No 1.79 (1.21, 2.64) 1.00 1.86 (.75, 4.63) 1.00 3.00 (1.52, 5.89) 1.00 Engaged in sex work Yes No 1.71 (.90, 3.25) 1.00 .79 (.09, 6.84) 1.00 2.97 (1.28, 6.88) 1.00
  • 20. Discussion • Nearly 10% of sexually active youth reported HIV/STI co-infection • Nearly ¾ of youth who reported HIV also reported STIs • This is nearly 7 times higher compared to the estimate of co-infection with STIs among HIV+ persons in literature3 • Alcohol use was associated with STI only and HIV/STI co-infection • Engaging in sex work was associated with HIV/STI co-infection https://www.cdc.gov/std/hiv/
  • 21. Limitations • Self-reported HIV/STIs • Convenience sample (hard-to-reach population) • Future studies would benefit from obtaining HIV/STI tests • Type of STI could not be ascertained from this study
  • 22. Implications • Despite limitations, this is the first study to assess HIV/STI co-infection among youth living in the slums of Kampala • Future studies should further examine which types of STIs are highly prevalent • Preventative strategies should aim at increasing capacity at HIV/STI testing centers • Raising awareness of the complications of HIV/STI co- infection is warranted • Prevention initiatives should also target prevention of alcohol use among youth
  • 23. Uganda Youth Development Link’s Response to HIV/STIs among youth • HIV prevention center that provides counselling • Child rights protection • Alcohol and substance use programs • Other adolescent sexual and reproductive health programs
  • 24. References • 1. World Health Organization Global Health Observatory Data. Uganda Country Data and Statistics. http://www.who.int/gho/countries/uga/en/. • 2. UNAIDS. Gap Report.; 2014. http://www.unaids.org/sites/default/files/media_asset/UNAIDS_Gap_report_e n.pdf. • 3. Swahn MH, Culbreth R, Salazar LF, Kasirye R, Seeley J. Prevalence of HIV and Associated Risks of Sex Work among Youth in the Slums of Kampala. AIDS Res Treat. 2016;2016:5360180. doi:10.1155/2016/5360180. • 4. Weis N, Lindhardt BO, Kronborg G, et al. Impact of hepatitis C virus coinfection on response to highly active antiretroviral therapy and outcome in HIV-infected individuals: a nationwide cohort study. Clin Infect Dis Off Publ Infect Dis Soc Am. 2006;42(10):1481-1487. doi:10.1086/503569. • 5. Duffus WA, Mermin J, Bunnell R, et al. Chronic herpes simplex virus type- 2 infection and HIV viral load. Int J STD AIDS. 2005;16(11):733-735. doi:10.1258/095646205774763298. • 6. Holmes K, Sparling P, Stamm W, et al. Sexually Transmitted Diseases, Fourth Edition. 4 edition. New York: McGraw-Hill Professional; 2007.
  • 25. Questions? Contact Information: Monica Swahn, Ph.D. Professor, Epidemiology and Biostatistics School of Public Health Georgia State University Atlanta, GA, USA Mswahn@gsu.edu 404-413-1148

Editor's Notes

  1. Alcohol use is high among African countries, particularly Uganda
  2. Map shows location of UYDEL centers