Abstract
Introduction:
In sub-Saharan Africa, evidence shows that orphaned youth are exposed to more risky sexual behaviors than non-orphaned peers, which increases the chances of contracting HIV and other sexually transmitted infections. The fast rises in the prevalence of orphanhood are a result of the HIV/AIDS epidemic.
Methodology:
The data for this secondary analysis were collected through a cross-sectional, multi-stage, stratified, cluster randomized sampling design. Multivariable backward stepwise logistic regression analysis was fitted to determine the factors associated with risky sexual behaviors among male and female adolescents and youth aged 12–24 years.
Results:
Of 2,556 orphaned participants, 18.3% (95% CI: 14.3–23.0) had two or more sexual partners in the last 12 months, 31.3% (95% CI: 26.3–36.6) reported no condom use at last sex, and 98.3% (95% CI: 96.6–99.2) reported no consistent condom use. The likelihood of reporting multiple sexual partnerships was significantly lower among female adolescents, those residing in rural formal/farm areas, and those who reported sexual debut at age 15 years and was higher among those who reported sexual partners 5 years and older than their age group. The odds of not using a condom at last sex were significantly higher among female adolescents and those who perceived themselves as being at high risk of HIV infection and were significantly lower among those who had sexual debut at age 15 years and older.
Discussion:
The findings suggest that there is a need for sexual risk-reduction strategies targeted at orphans, especially male orphans and those residing in urban areas. Such efforts should include behavior change interventions for delaying the age of sexual debut, changing HIV risk perception, mitigating multiple sexual partnerships, age-disparate sexual relationships, and enhancing condom use.
Introduction
Risky sexual behaviors among orphans remain a major public health concern, especially in sub-Saharan Africa (). Orphans are defined as children aged under 18 years whose mother, father, or both parents have died (). A child whose mother has died is known as a maternal orphan, a child whose father has died is a paternal orphan, and a child who has lost both parents is a double orphan. According to Statistics South Africa, there were 2.7 million orphans in 2018 (). In South Africa, many adolescents and youth were orphaned as children at the height of the HIV epidemic before the scaling up of antiretroviral treatment (, ).
In sub-Saharan Africa, evidence shows that orphaned children and youth are exposed to more risky sexual behaviors than their peers, possibly due to decreased parental oversight and support (). In addition, orphans often fall prey to sexual coercion, exploitation, and abuse and may be forced to engage in high-risk behaviors (, ). These behaviors include unprotected sexual intercourse, early sexual initiation, having multiple sexual partners, age-disparate sexual relationships, and transactional sex in exchange for money, goods, or other favors (, , ). Early sexual activity in this population group can also be partly due to the desire for closeness and security, which leads to HIV-related risky behavior that maintains high levels of HIV infection in this country (, ).
Risky sexual behaviors increase susceptibility to sexually transmitted infections, including HIV, and unplanned or unwanted pregnancies, which in turn can lead to deleterious health, social, and economic consequences (–). The vulnerability of orphans to sexual risk behaviors have been attributed to socio-demographic (such as being younger, gender disparities, low educational attainment, and poverty) and socio-behavioral factors (such as substance use, peer influence, sexual predation, and lack of family support) (, ). These culminate in high-risk abortion, psychological disorders, teenage pregnancy, school dropout, and early marriage ().
In South Africa, several programs have been implemented to reduce vulnerability and/or protect orphaned children and youth. These include traditional institutional care, as well as institutional programs that are embedded within community- and/or family-based care (, ). Community-based care is a measure aimed at allowing children to stay with their relatives or review extended families to avoid separation and/or placement with an alternate family (, ). The community-based approach has the advantage of allowing children to be cared for by familiar individuals while remaining in their local communities. Furthermore, family-based care is more likely to satisfy their developmental needs and provide them with relevant information and skills they will need to live independently in their communities ().
However, others also found that orphans in community- and/or family-based care are exposed to the prevailing community pressures and norms and may be more vulnerable to sexual coercion, exploitation, and abuse, and therefore more prone to risky sexual behaviors depending on the setting and context (, , ). Understanding the magnitude of risky sexual behaviors and exploring predisposing factors is critical for addressing the challenges of orphans to mitigate negative health outcomes. Therefore, the purpose of this study was to examine the factors associated with risky sexual behaviors among orphaned adolescents and youth aged 12–24 years in South Africa using data from the 2017 nationally representative household-based population survey.
Methodology
Data source
The data used in this analysis are from the 2017 nationally representative population-based HIV household survey conducted in 2017 using a multi-stage, stratified, random cluster sampling design described in detail elsewhere (). Basically, a total of 1,000 small area layers (SALs) were drawn from a national master sampling frame of 86,000 SALs released by Statistics South Africa in 2001 and updated in 2011 (). The selection of SALs was stratified by province, locality type (urban areas, rural informal and formal areas), race group, and sex. A systematic probability sample of 15 visiting points per household was drawn from each of the 1,000 SALs yielding a total of 15,000 visiting points per household targeted for the survey.
Survey data were collected using a household questionnaire and three age-appropriate questionnaires, which were administered to consenting individuals. For those aged younger than 18 years, consent was given by parents/guardians and assent by the participants aged 12–18 years. The interview instruments solicited information on socio-demographic characteristics, including orphanhood status, sexual behaviors, HIV knowledge and risk perceptions, and health-related factors including HIV testing. The questionnaires were administered by fieldworkers and electronically captured using tablets. Fieldworkers also collected dried blood spot samples from participants using a finger prick for HIV biomarker testing (HIV antibodies, exposure to antiretrovirals (ARVs), and lag testing for incidence estimation).
Measures
The orphanhood status variable was based on two questions: Is your biological mother alive? (yes or no) and Is your biological father alive? (yes or no). Responses were pooled and dichotomized into a binary outcome (yes = 1, no = 0) indicating orphanhood status among adolescents and youth in the review aged 12–24 years. Three primary outcome variables included: (1) multiple sexual partners based on the question: How many sexual partners did you have in the last 12 months? (one partner = 0, two or more partners = 1); (2) no condom use at last sex act based on the question: Did you use a condom at last sexual encounter with the most recent person you had sex with? (no = 1, yes = 0); and (3) inconsistent condom use based on the question: How often do you use a condom with your most recent sexual partner? Responses were dichotomized into a binary outcome (1 = every time, 0 = almost every time, 0 = sometimes, and never = 0).
The explanatory variables included socio-demographic, socio-behavioral, and HIV-related factors. The socio-demographic factors included sex (male and female), age (12–19 years, 20–24 years), race (Black African and other, including White, Colored, and Indian), highest level of education attained (no education or up to primary, secondary, and tertiary), and asset-based socioeconomic status (SES) score. A composite measure based on the availability of essential services and ownership of a range of household assets was used to compute five wealth quintiles (first lowest, second lower, third middle, fourth higher, and fifth highest) representing a continuum of household SES from the poorest to the least poor. The quintiles were then dichotomized into low SES or poorest (the three lowest quintiles) and high SES or less poor (the two highest quintiles). Locality type (urban, rural informal/tribal area, and rural formal/farm areas) and disability (yes, no) were also included.
Socio-behavioral factors included the following: ever had sexual intercourse (no, yes); age of sexual debut (had sex before the age of 15 years, had sex at age15 years and older); age of sexual partner (partner more than 5 years younger, partner within 5 years of age, partner more than 5 years older); number of sexual partners in the last 12 months (one partner, two or more partners); condom use at last sex (yes, no); alcohol use using the Alcohol Abuse Disorder Identification Test (AUDIT) score [abstainers, low risk (with scores in the range of 1–7), risky/hazardous level (8–15), high risk/harmful (16–19), very high risk (20+)]. HIV-related factors included the following: correct knowledge and rejection of all myths about HIV transmission (yes, no); self-perceived risk of HIV infection (yes, no); ever tested for HIV (yes, no); awareness of HIV status (yes, no); and the survey laboratory results determined an HIV status (HIV positive, HIV negative).
Ethical approval
The survey protocol was approved by the Human Sciences Research Council (HSRC) Research Ethics Committee (REC: 4/18/11/15) and both the Division of Global HIV and TB (DGHT) and the Center for Global Health (CHG) of the Centers for Disease Control and Prevention (CDC). Verbal or written informed consent was sought before undertaking both the behavioral data and blood specimen collections. The confidentiality and anonymity of the participants were also assured.
Statistical analysis
Descriptive statistics were used to summarize the characteristics of the study sample. Cross-tabulations and chi-square (χ²) tests were used for the comparison of categorical background characteristics, risky sexual behaviors, and HIV-related variables by orphanhood status. A multivariable stepwise backward logistic regression analysis was used to determine the factors associated with orphan status by fitting a male and female model. The probability for the removal of variables in the models was set at p-values of 0.2. Adjusted odds ratio (AOR) with 95% confidence intervals (CI) and a p-value ≤ 0.05 were used to determine the level of statistical significance. Sample weights were introduced to all models to account for the complex survey design and non-response. Statistical analyses were carried out using Stata statistical software, Release 15.0 (Stata Corporation, College Station, TX, USA). Coefficient plots were used to display the results of the final models.
Results
Sample characteristics
Figure 1 shows the orphanhood status of the study sample. A higher proportion of study participants were paternal orphans (57.5%).
Figure 1
Table 1 shows the background characteristics of the study sample. Of the 2,556 orphaned participants, the majority were aged 12–19 years (83.5%). The mean age was 17.7 years (SD = 3.7). Half of the study sample were male participants (51.2%). Most participants were African (92.0%), had secondary-level education (84.5%), and were unemployed (95.7%). More than half of the participants were from high SES households (54.6%) and urban areas (53.8%). Most participants stated that they had a sexual debut at age 15 years and older (92.8%), had sexual partners within 5 years of their age group (79.3%), and abstained from alcohol (86.5%). In addition, most participants had correct knowledge of HIV and rejected myths about HIV (69.8%) and had a low self-perceived risk of HIV infection (85.9%). Of the participants, 45.6% reported that they had ever tested for HIV and approximately 33.8% reported that they were aware of their HIV status. Overall, 7.7% of the study participants were HIV positive.
Table 1
| Variables | Total | % | 95% CI |
|---|---|---|---|
| Age categories | |||
| 12–19 | 2,175 | 83.5 | 81.3–85.5 |
| 20–24 | 381 | 16.5 | 14.5–18.7 |
| Sex | |||
| Male | 1,162 | 48.8 | 46.1–51.5 |
| Female | 1,394 | 51.2 | 48.5–53.9 |
| Race groups | |||
| African | 2,306 | 92.0 | 90.5–93.2 |
| Other | 250 | 8.0 | 6.8–9.5 |
| Education level attained | |||
| No education/primary | 63 | 11.5 | 8.5–15.5 |
| Secondary | 427 | 84.5 | 79.9–88.3 |
| Tertiary | 20 | 3.9 | 2.0–7.5 |
| Employment status | |||
| Not employed | 1,737 | 95.7 | 94.2–96.8 |
| Employed | 87 | 4.3 | 3.2–5.8 |
| Asset-based SES | |||
| Low SES | 1,320 | 54.6 | 51.7–57.4 |
| High SES | 981 | 45.4 | 42.6–48.3 |
| Locality type | |||
| Urban | 1,160 | 53.8 | 51.2–56.5 |
| Rural informal (tribal areas) | 1,199 | 42.9 | 40.3–45.5 |
| Rural (farms) | 197 | 3.3 | 2.7–4.0 |
| Age at sexual debut | |||
| Less than 15 years | 119 | 7.2 | 5.7–9.0 |
| 15 years and older | 1,718 | 92.8 | 91.0–94.3 |
| Age-disparate sexual relationship | |||
| Within 5 years | 438 | 79.3 | 74.5–83.4 |
| Younger than 5 years | 4 | 1.2 | 0.4–3.5 |
| Older than 5 years | 125 | 19.6 | 15.6–24.2 |
| AUDIT score | |||
| Abstainers | 2,128 | 86.5 | 84.3–88.4 |
| Low risk drinkers (1–7) | 183 | 9.1 | 7.5–11.0 |
| High risk drinkers (8–19) | 74 | 4.2 | 3.1–5.5 |
| Hazardous drinkers (20+) | 8 | 0.2 | 0.1–0.6 |
| Correct knowledge of HIV and myth rejection | |||
| No | 1,748 | 69.8 | 67.3–72.3 |
| Yes | 798 | 30.2 | 27.7–32.7 |
| Self-perceived risk of HIV infection | |||
| Low | 2,135 | 85.9 | 83.9–87.7 |
| High | 332 | 14.1 | 12.3–16.1 |
| Ever had an HIV test | |||
| Yes | 1,138 | 45.6 | 42.9–48.3 |
| No | 1,352 | 54.4 | 51.7–57.1 |
| Awareness of HIV status | |||
| Yes | 848 | 33.8 | 31.2–36.5 |
| No | 1,649 | 66.2 | 63.5–68.8 |
| Final HIV status | |||
| Positive | 165 | 7.7 | 6.3–9.5 |
| Negative | 1,813 | 92.3 | 90.5–93.7 |
Characteristics of the study sample (n = 2,556), adolescents and youth aged 12–24 years, South Africa 2017 survey.
Subtotals do not equal to total (n) due to non-response and/or missing data.
Sample characteristics and risky sexual behaviors
Of the 2,556 orphaned participants, 18.3% (95% CI: 14.3–23.0) who had two or more sexual partners in the last 12 months, 31.3% (95% CI: 26.3–36.6) reported no condom use at last sex and 98.3% (95% CI: 96.6–99.2) reported no consistent condom use. Table 2 shows the distribution of risky sexual behaviors by sample characteristics. Having multiple sexual partners was significantly higher among adolescents (12–19 years), female participants, those who reported sexual debut before 15 years of age, those who perceived themselves as being at high risk of HIV infection, and those who were not aware of their HIV status. No condom use at last sex was significantly higher among female participants, other race groups, those with sexual partners older than 5 years of their age, those who perceived themselves as being at high risk of HIV infection, and those who were HIV positive. Inconsistent condom use was significantly higher among female participants, those not employed, those who had sexual debut at 15 years of age, those with partners within 5 years of their age, those who had correct knowledge and rejected myths about HIV, and those who were aware of their HIV status.
Table 2
| Variables | Number of sexual partners in the last 12 months | Condom use last sex act | Consistent condom use | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | One partner | Two and more partners | N | No | Yes | N | No | Yes | p-value | |||||||||
| % | 95% CI | % | 95% CI | p-value | % | 95% CI | % | 95% CI | p-value | % | 95% CI | % | 95% CI | |||||
| Total | 573 | 81.7 | 77.0–85.7 | 18.3 | 14.3–23.0 | 580 | 31.3 | 26.3–36.6 | 68.7 | 63.4–73.7 | 577 | 98.3 | 96.6–99.2 | 1.70 | 0.8–3.4 | |||
| Age groups | ||||||||||||||||||
| 12–19 years | 365 | 77.9 | 71.2–83.4 | 22.1 | 16.6–28.8 | 0.028 | 373 | 27.2 | 21.6–33.7 | 72.8 | 66.3–78.4 | 0.057 | 370 | 98.7 | 96.0–99.6 | 1.30 | 0.4–4.0 | 0.420 |
| 20–24 | 208 | 87.5 | 80.8–92.2 | 12.5 | 7.8–19.2 | 207 | 37.6 | 29.1–47.0 | 62.4 | 53.0–70.9 | 207 | 97.7 | 94.6–99.0 | 2.30 | 1.0–5.4 | |||
| Sex | ||||||||||||||||||
| Male | 241 | 73 | 65.2–79.6 | 27 | 20.4–34.8 | <0.001 | 245 | 22.2 | 15.9–30.2 | 77.8 | 69.8–84.1 | 0.001 | 242 | 96.5 | 93.0–98.3 | 3.50 | 1.7–7.0 | 0.004 |
| Female | 332 | 89.6 | 83.5–93.6 | 10.4 | 6.4–16.5 | 335 | 39.7 | 32.6–47.2 | 60.3 | 52.8–67.4 | 335 | 100.0 | 0.00 | |||||
| Race groups | ||||||||||||||||||
| African | 529 | 81.7 | 76.8–85.8 | 18.3 | 14.2–23.2 | 0.992 | 536 | 30.3 | 25.3–35.8 | 69.7 | 64.2–74.7 | 0.030 | 533 | 98.4 | 96.6–99.2 | 1.60 | 0.8–3.4 | 0.353 |
| Other | 44 | 81.7 | 65.9–91.1 | 18.3 | 8.9–34.1 | 44 | 51 | 32.6–69.2 | 49 | 30.8–67.4 | 44 | 96.6 | 87.1–99.2 | 3.40 | 0.8–12.9 | |||
| Education level attained | ||||||||||||||||||
| No education/primary | 21 | 79.8 | 47.2–94.6 | 20.2 | 5.4–52.8 | 0.868 | 20 | 68.8 | 41.2–87.4 | 31.2 | 12.6–58.8 | 0.365 | 21 | 100.0 | 0.00 | 0.871 | ||
| Secondary | 229 | 80.1 | 71.9–86.3 | 19.9 | 13.7–28.1 | 228 | 43.8 | 34.9–53.1 | 56.2 | 46.9–65.1 | 227 | 98.2 | 94.7–99.4 | 1.80 | 0.6–5.3 | |||
| Tertiary | 7 | 88.5 | 43.2–98.7 | 11.5 | 1.3–56.8 | 7 | 45.6 | 8.9–87.8 | 54.4 | 12.2–91.1 | 7 | 100.0 | 0.00 | |||||
| Employment status | ||||||||||||||||||
| Not employed | 522 | 81.7 | 76.7–85.9 | 18.3 | 14.1–23.3 | 0.793 | 521 | 31.8 | 26.6–37.5 | 68.2 | 62.5–73.4 | 0.497 | 518 | 98.6 | 96.9–99.4 | 1.40 | 0.6–3.1 | 0.026 |
| Employed | 39 | 83.7 | 65.5–93.3 | 16.3 | 6.7–34.5 | 38 | 24.7 | 10.9–46.7 | 75.3 | 53.3–89.1 | 37 | 92.2 | 71.0–98.3 | 7.80 | 1.7–29.0 | |||
| Asset-based SES | ||||||||||||||||||
| Low SES | 299 | 81.6 | 74.8–86.9 | 18.4 | 13.1–25.2 | 0.766 | 305 | 33.1 | 26.5–40.4 | 66.9 | 59.6–73.5 | 0.771 | 304 | 98.1 | 94.9–99.3 | 1.90 | 0.7–5.1 | 0.933 |
| High SES | 223 | 80.2 | 72.1–86.4 | 19.8 | 13.6–27.9 | 224 | 31.4 | 23.4–40.6 | 68.6 | 59.4–76.6 | 222 | 98.2 | 95.3–99.3 | 1.80 | 0.7–4.7 | |||
| Locality type | ||||||||||||||||||
| Urban areas | 290 | 80.6 | 73.8–86.0 | 19.4 | 14.0–26.2 | 0.280 | 297 | 30 | 23.4–37.5 | 70 | 62.5–76.6 | 0.460 | 296 | 97.9 | 95.5–99.1 | 2.10 | 0.9–4.5 | 0.709 |
| Rural informal (tribal areas) | 237 | 82.4 | 75.1–87.9 | 17.6 | 12.1–24.9 | 239 | 32.3 | 25.3–40.2 | 67.7 | 59.8–74.7 | 237 | 98.8 | 94.6–99.7 | 1.20 | 0.3–5.4 | |||
| Rural (farms) | 46 | 95.4 | 83.9–98.8 | 4.6 | 1.2–16.1 | 44 | 44.4 | 26.4–64.1 | 55.6 | 35.9–73.6 | 44 | 100.0 | 0.00 | |||||
| Age at sexual debut | ||||||||||||||||||
| Less than 15 years | 79 | 59.9 | 45.4–72.8 | 40.1 | 27.2–54.6 | <0.001 | 80 | 40.4 | 27.5–54.8 | 59.6 | 45.2–72.5 | 0.127 | 253 | 91.2 | 84.9–95.0 | 8.8 | 5.0–15.1 | 0.013 |
| 15 years and older | 489 | 85.2 | 80.2–89.0 | 14.8 | 11.0–19.8 | 486 | 29.3 | 24.0–35.1 | 70.7 | 64.9–76.0 | 1,397 | 98.8 | 97.8–99.3 | 1.2 | 0.7–2.2 | |||
| Age-disparate relationship | ||||||||||||||||||
| Within 5 years | 433 | 82.8 | 77.5–87.0 | 17.2 | 13.0–22.5 | 0.322 | 433 | 27.7 | 22.3–33.9 | 72.3 | 66.1–77.7 | 0.001 | 1,286 | 97.5 | 96.0–98.4 | 2.5 | 1.6–4.0 | <0.001 |
| Younger than 5 years | 4 | 51.2 | 10.2–90.7 | 48.8 | 9.3–89.8 | 4 | 6.8 | 0.7–41.9 | 93.2 | 58.1–99.3 | 9 | 80.3 | 31.8–97.3 | 19.7 | 2.7–68.2 | |||
| Older than 5 years | 124 | 79.5 | 65.9–88.5 | 20.5 | 11.5–34.1 | 123 | 47.9 | 36.2–59.8 | 52.1 | 40.2–63.8 | 332 | 98.7 | 95.0–99.7 | 1.3 | 0.3–5.0 | |||
| AUDIT score | ||||||||||||||||||
| Abstainers | 347 | 88.2 | 82.6–92.1 | 11.8 | 7.9–17.4 | <0.001 | 351 | 30.8 | 24.7–37.6 | 69.2 | 62.4–75.3 | 0.985 | 1,019 | 98.0 | 96.2–98.9 | 2.0 | 1.1–3.8 | 0.598 |
| Low-risk drinkers (1–7) | 108 | 75.2 | 62.8–84.5 | 24.8 | 15.5–37.2 | 109 | 31.1 | 20.4–44.2 | 68.9 | 55.8–79.6 | 326 | 98.9 | 96.9–99.6 | 1.1 | 0.4–3.1 | |||
| High-risk drinkers (8–19) | 53 | 59.8 | 42.6–74.9 | 40.2 | 25.1–57.4 | 53 | 33.5 | 18.7–52.3 | 66.5 | 47.7–81.3 | 166 | 97.6 | 92.7–99.2 | 2.4 | 0.8–7.3 | |||
| Hazardous drinkers (20+) | 7 | 81.5 | 41.3–96.5 | 18.5 | 3.5–58.7 | 7 | 30.1 | 6.0–74.5 | 69.9 | 25.5–94.0 | 21 | 74.7 | 47.3–90.7 | 25.3 | 9.3–52.7 | |||
| Correct knowledge of HIV and myth rejection | ||||||||||||||||||
| No | 328 | 81.2 | 74.8–86.3 | 18.8 | 13.7–25.2 | 0.788 | 337 | 31.9 | 25.7–38.9 | 68.1 | 61.1–74.3 | 0.721 | 334 | 97.5 | 94.6–98.9 | 2.5 | 1.1–5.4 | 0.019 |
| Yes | 244 | 82.4 | 74.7–88.1 | 17.6 | 11.9–25.3 | 242 | 30 | 22.5–38.7 | 70 | 61.3–77.5 | 242 | 99.5 | 98.3–99.8 | 0.5 | 0.2–1.7 | |||
| Self-perceived risk | ||||||||||||||||||
| Low | 419 | 84 | 78.7–88.2 | 16 | 11.8–21.3 | 0.049 | 425 | 27.2 | 21.8–33.3 | 72.8 | 66.7–78.2 | 0.008 | 423 | 98.2 | 95.8–99.2 | 1.8 | 0.8–4.2 | 0.827 |
| High | 126 | 73.1 | 60.9–82.6 | 26.9 | 17.4–39.1 | 128 | 43.9 | 32.8–55.6 | 56.1 | 44.4–67.2 | 128 | 98.4 | 95.6–99.4 | 1.6 | 0.6–4.4 | |||
| Ever had an HIV test | ||||||||||||||||||
| Yes | 423 | 82.3 | 76.7–86.8 | 17.7 | 13.2–23.3 | 0.657 | 428 | 32.1 | 26.3–38.5 | 67.9 | 61.5–73.7 | 0.604 | 429 | 98.4 | 96.4–99.3 | 1.6 | 0.7–3.6 | 0.701 |
| No | 149 | 80.1 | 70.2–87.4 | 19.9 | 12.6–29.8 | 151 | 29.1 | 20.6–39.4 | 70.9 | 60.6–79.4 | 147 | 97.9 | 93.0–99.4 | 2.1 | 0.6–7.0 | |||
| Awareness of HIV status | ||||||||||||||||||
| Yes | 324 | 85.9 | 79.8–90.4 | 14.1 | 9.6–20.2 | 0.038 | 329 | 33.4 | 26.7–40.9 | 66.6 | 59.1–73.3 | 0.361 | 331 | 99.2 | 97.8–99.7 | 0.8 | 0.3–2.2 | 0.052 |
| No | 248 | 76.7 | 68.9–83.0 | 23.3 | 17.0–31.1 | 250 | 28.6 | 21.9–36.5 | 71.4 | 63.5–78.1 | 245 | 97.2 | 93.3–98.8 | 2.8 | 1.2–6.7 | |||
| Final HIV status | ||||||||||||||||||
| Positive | 47 | 86.5 | 68.8–94.9 | 13.5 | 5.1–31.2 | 0.500 | 46 | 52.5 | 34.6–69.8 | 47.5 | 30.2–65.4 | 0.022 | 46 | 98.3 | 88.4–99.8 | 1.7 | 0.2–11.6 | 0.771 |
| Negative | 430 | 81.4 | 75.8–85.9 | 18.6 | 14.1–24.2 | 439 | 31.1 | 25.6–37.2 | 68.9 | 62.8–74.4 | 436 | 98.7 | 97.1–99.5 | 1.3 | 0.5–2.9 | |||
Multiple sexual partners, condom use at last sex and consistent condom use among adolescents and youth aged 12–24 years, South Africa 2017 survey.
Factors associated with risky sexual behaviors
Figure 2 shows multivariate logistic regression models of factors associated with multiple sexual partnerships, no condom use at last sex, and inconsistent condom use. The odds of reporting multiple sexual partners were significantly lower among female participants than male participants (AOR = 0.19, 95% CI: 0.08–0.42, p < 0.001), those residing in rural/farm areas than urban areas (AOR = 0.18, 94% CI: 0.04–0.88, p = 0.034), and those who reported sexual debut at age 15 years and older (AOR = 0.08, 95% CI: 0.01–0.46, p = 0.008)
Figure 2
The odds of having multiple sexual partnerships were significantly higher among those who reported sexual partners 5 years and older than within 5 years of their own age (AOR = 3.67, 95% CI: 1.32–10.16, p = 0.012). The odds of not using a condom at last sex were significantly higher among female participants than male participants (AOR = 2.41, 95% CI: 1.09–5.36, p = 0.030), and those who perceived themselves as being at high risk of HIV infection compared to their counterparts (AOR = 2.07, 95% CI: 1.00–4.29, p = 0.050). In addition, the odds of not using a condom at last sex were significantly lower among those who had sexual debut at age 15 years and older (AOR = 0.32, 95% CI: 0.14–0.72, p = 0.006). Furthermore, the odds of not using a condom consistently were significantly lower among those who had a sexual debut at age 15 years and older (AOR = 0.08, 95% CI: 0.01–0.46, p = 0.005), and lower among those who reside in rural formal/farm areas than urban areas (AOR = 0.09, 95% CI: 0.01–0.92, p = 0.043).
Discussion
Consistent with other studies (, , , ), this nationally representative study found that orphaned adolescents and youth were especially at high risk of engaging in risky sexual behaviors. These included multiple sexual partnerships, not using a condom at the last sexual act, and inconsistent condom use with the most recent sexual partner. Improved understanding of predisposing factors is pivotal to addressing the needs of orphaned youth and mitigating the negative outcomes.
In the final multivariate model, the reporting of multiple sexual partners was significantly more likely among female orphans. Other studies also found a positive association between female orphans and having multiple sexual partners (, ). Having multiple sexual partners is one of the important behavioral risk factors for HIV (). It has been suggested that female orphans face pressure to provide household income or assume adult obligations because of the absence of adults in the household, which could lead to having multiple sexual partners for financial support (). These observations suggest a need for additional financial and/or economic support programs for empowering families of orphaned adolescents and youth, especially female orphans. Such interventions may include social protection strategies, such as cash transfers and nutritional support for poverty alleviation (, ).
The model showed that risky sexual behaviors (multiple sexual partners, no condom use at the last sex, and inconsistent condom use) were all associated with early sexual debut. This corroborates the finding that children who experience early sexual debut are likely to engage in risky sexual behaviors later in life (, ). Evidence shows that early sexual debut is associated with sexually transmitted infections among both orphaned male and female adolescents (–). The increased risk of sexually transmitted infections has been linked to a lack of condom use at first sexual encounters (). These observations underscore the importance of raising awareness about the risk factors for early sexual initiation and highlight the need for prevention campaigns encouraging youth to delay the onset of first sex and the promotion of condom use toward risk reduction among orphaned adolescents.
Furthermore, multiple sexual partnerships and inconsistent condom use were more likely among orphans residing in urban areas. These rural–urban differences in risky sexual behaviors have been attributed to differences associated with environmental context, mainly disparities in socioeconomic and sociocultural conditions (, ). It has been postulated that while in urban areas individual freedom facilitates casual and higher partner change rates, people in rural areas tend to be more conservative and cultural rules toward sexual relationships are stricter (, ). Numerous factors could explain these differences, including poverty, the need to access material goods and money, or gift exchange in romantic relationships, especially for female adolescents in urban settings relative to rural areas (). This suggests a need for paying attention to these differences in designing behavior modification interventions targeting orphans in urban settings.
The results showed that the reporting of no condom use at last sex was more likely among female orphans than their male counterparts. These observations have been largely attributed to gender-based power disparities related to the negotiation of condom use in sexual relationships (). These observations underscore the need for a social paradigm shift that transforms relationships between female and male adolescents from one of inequality and dominance to equality, respect, and consideration for one another (). This requires policy and structural interventions to overcome deeply entrenched gendered social disparities to mitigate unprotected sex, especially among orphaned adolescents and young women.
The reporting of no condom use at last sex was associated with self-perceived risk of HIV infection among orphaned adolescents and youth. This confirms the assertion that perception toward the risk of acquiring HIV depends on the history of condom use behavior and emphasizes the importance of accurately assessing an individual's risk of acquiring HIV to encourage behavior change (–). These results suggest a need for intensive social, behavior change and risk communication strategies in addition to increased condom availability and promotion as part of programs implemented to reduce vulnerability and/or protect orphaned adolescents and youth (, ).
This study has some limitations. The data used in the analysis were self-reported and therefore prone to recall and social desirability bias. The cross-section correctional nature of the study meant that causality could not be inferred, and the study was limited to ascertain the association between orphanhood and risky sexual behaviors. In addition, the small sample size and wide confidence intervals reduced the precision of estimates and power of the study. Nevertheless, the study was nationally representative and could be generalized to orphaned adolescents and youth in South Africa.
Conclusion
The results of the study also revealed that the odds of sexual risk behaviors were higher among both male and female orphans, those who engaged in early sexual debut, those in age-disparate relationships, and those who resided in urban settings. These findings varied slightly depending on whether the outcome was multiple sexual partnerships, condom use at last sex, and inconsistent condom use. The findings suggest a need for sexual risk-reduction strategies differentiated by gender and targeted at orphans residing in urban settings. This should include sexual education interventions about delaying sexual encounters at an early age and changing HIV risk perception, prioritizing behavior modification interventions to mitigate multiple sexual partnerships and age-disparate sexual relationships, and improving condom use.
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: The data for this manuscript are openly available on the Human Sciences Research Council institutional repository available at https://repository.hsrc.ac.za/handle/20.500.11910/15468, Archive number: SABSSM 2017 Combined, URI: http://doi.org/10.14749/1585345902.
Ethics statement
The survey protocol was approved by the Human Sciences Research Council (HSRC) Research Ethics Committee (REC: 4/18/11/15) and both the Division of Global HIV and TB (DGHT) and the Center for Global Health (CHG) of the Centers for Disease Control and Prevention (CDC). Verbal or written informed consent was sought before undertaking both the behavioral data and blood specimen collection. The confidentiality and anonymity of the participants were also assured. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.
Author contributions
NV conceptualized the study. NV and MM conducted the analysis. NV wrote the first draft of the manuscript. MM, NV, RS, AD, PN, DS, LS, and SM contributed to writing and editing the manuscript. MM and SM reviewed and assessed the quality of the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This research was funded by President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC) Cooperative Agreement (Number NU2GGH001629).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Summary
Keywords
orphanhood status, youth, risky sexual behavior, household survey, South Africa
Citation
Vondo N, Mabaso M, Mehlomakulu V, Sewpaul R, Davids A, Ndlovu P, Sekgala D, Shandu L and Moyo S (2023) Risky sexual behaviors among orphaned youth in South Africa: findings of the 2017 population-based household survey. Front. Child Adolesc. Psychiatry 2:1033663. doi: 10.3389/frcha.2023.1033663
Received
31 August 2022
Accepted
02 October 2023
Published
20 October 2023
Volume
2 - 2023
Edited by
Ulrike Margarete Elisabeth Schulze, University of Ulm, Germany
Reviewed by
Sigita Lesinskiene, Vilnius University, Lithuania Ifedola Olabisi Faramade, Osun State University, Nigeria
Updates
Copyright
© 2023 Vondo, Mabaso, Mehlomakulu, Sewpaul, Davids, Ndlovu, Sekgala, Shandu and Moyo.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Noloyiso Vondo Nvondo@hsrc.ac.za
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.