Abstract
Background and methods
In preparation for a school-based intervention in KwaZulu-Natal, South Africa, a cross-sectional survey of potential HIV risk factors in youth aged 14–17 (n = 983) was conducted.
Results
Boys were significantly more likely than girls to report lifetime sexual activity (37.7% v. 13.8%, P < 0.01). Among boys and girls, 46.1% reported condom use at last sex. Discussion of condom use with a partner was the strongest predictor of condom use (boys, odds ratio (OR) = 7.39; girls, OR = 5.58, P < 0.0001). Age was independently associated with sexual activity for boys (OR = 1.49, P < 0.0001) and girls (OR = 1.74, P = 0.02). For boys, perceptions of male peer behaviour were associated with both ever having participated in sexual activity (OR = 1.48, P < 0.01) and condom use at last sex (OR = 1.79, P < 0.01). Girls who equated condom use with having numerous partners were more likely to use them. Among boys, results challenged some expected gender beliefs: support for girls’ initiative in relationship formation and refusal of sex were significant predictors of sexual activity. Among girls, higher pregnancy risk perception (OR = 1.32, P = 0.02) and knowledge (OR = 4.85, P = 0.055) were associated with sexual activity.
Conclusions
Creating more gender equitable norms can reduce HIV risk behaviours. HIV prevention interventions should build on existing gender equitable beliefs, and work to promote others, including sexual communication and negotiation skills, and modelling of positive peer norms.
Keywords: adolescents, communication, gender, HIV risk behaviour, South Africa, peer influences
Introduction
Young South Africans experience some of the highest HIV-infection levels globally,1 with young women disproportionately affected. HIV prevalence is 6.7% among teenage women aged 15–19, increasing sharply to 21.5% of those aged 20–24.2 In comparison, 2.5% of teen men are HIV infected, and 5.3% by ages 20–24. Further, about one-third of women experience a first birth by age 19.3,4 Although some reports suggest the HIV epidemic is slowing,2 annual surveys of pregnant women indicate stable HIV prevalence over the past several years, with 29.4% in 2009.5 Since the onset of South Africa's severe HIV epidemic in the 1990s, KwaZulu-Natal province has consistently experienced the country's highest HIV prevalence, with 15.3% of youth aged 15–24 HIV infected,2 and over 40% of pregnant women aged 20–24.5,6 These high levels of HIV among young adult women signify the importance of HIV prevention programs during adolescence.
Simultaneously, surveys suggest rapid increases in HIV prevention, particularly male condom use, among young South Africans over the past decade.2,3 National surveys indicate that almost three-quarters of young people have ever used a male condom, and over half report condom use at last sexual intercourse.2,3,7 Among women, condom use is highest in the teenage years.2,3 However, preventive behaviours remain inconsistent: two-thirds of young people also report ‘not always’ using a condom with their most recent partner.3,7 Among other factors, communication skills, perceived self-efficacy, and preventive behaviours at first sex influence condom use,3,8–10 as do social norms and attitudes.11
Given the high HIV prevalence, levels of adolescent pregnancy, and inconsistent condom use, somewhat paradoxically, South African youth experience a relatively late sexual debut, at a median age of ~15–17 years for men and 16–17 years for women,2,3,12 consistent with delaying sexual debut as an important target for intervention.13–15 Additionally, young people often view abstinence favourably, as it reflects normative beliefs about sexuality.16 However, most young people become sexually active as teenagers, making prevention for both sexually experienced and inexperienced adolescents a priority.17 Whereas some studies have addressed general sexual-risk behaviours and prevention among school-going adolescents in South Africa,18–21 gaps remain in understanding specific factors associated with risk. Some life-skills interventions have been evaluated,22,23 and a gender-focussed intervention approach has had demonstrated success in South Africa, both within and outside the school context.24–26
The present study applies a gender framework, examining gender values and beliefs that potentially influence sexual risk. We use a gender perspective developed in prior qualitative work to examine the correlates of two sexual-risk behaviours – ever having sexual intercourse and, among sexually experienced youth, condom use at last sexual intercourse – among secondary school-going adolescents in rural KwaZulu-Natal, South Africa.
Methods
The study site was an administrative sub-district of Umkhanyakude District in rural northern KwaZulu-Natal, the largest of South Africa's nine provinces (population 9.5 million), with nearly 20% of the country's 52 million residents.27 Northern KwaZulu-Natal typifies many rural areas with social isolation, few employment opportunities, and frequent labour migration; annual per capita income is about US $1000.27 Most area residents are ethnically Zulu.
With ~85% of young people attending secondary school, a substantial portion of adolescents can be reached in schools.27 Four of the five secondary schools from the sub-district were included in the present study; the fifth school had an active HIV-prevention program and thus was deemed ineligible. Ethical approval was obtained from the Institutional Review Board of the New York State Psychiatric Institute and the Ethics Committee, University of KwaZulu-Natal, Faculty of Medicine, Durban, South Africa.
Participants and survey administration
This cross-sectional survey constituted the baseline assessment for the Mpondombili school-based intervention.28–30 The study targeted all 14–17 year olds in grades 8, 9 and 10. The questionnaire was developed in English and translated with local input regarding wording and comprehension into isiZulu, with back-translation into English to check for accuracy. The resulting self-completed, 40-item questionnaire was administered during 45-min class periods (~three classes per grade) during March 2003. Trained interviewers administered the survey in isiZulu, instructing students to space themselves for privacy, complete questions as they were read aloud, and raise a hand for assistance. Teachers and other school personnel were not present. In the four schools, 983 students (mean age 15.4 years) completed the questionnaire (n = 551 girls, 56.1%; n = 432 boys, 43.9%), evenly distributed by age and grade.
Measures
Prior to the survey, extensive qualitative work was conducted to understand young people's beliefs and behaviours related to sexuality.28,31 Based on these and other findings,32–35 we used a gender perspective to guide the development of items, assessing domains common to social–cognitive models of behaviour–knowledge; risk perception; self-efficacy for condom use, gender-role norms, including sexual negotiation and refusal; perceived prevalence of peer behaviours (peer influences); and beliefs about condom use and sexual activity. This gender perspective posits that individually held gender beliefs, which are informed by broader social norms related to gender and sexuality, would be the key influences on young people's sexual risk behaviours.36,37 For example, qualitative work demonstrated that girls believed condoms were a boy's domain; that it would be inappropriate for a girl to request her partner to use a condom; that sexual intercourse was an early and important sign of love for boys and girls; and that refusing intercourse meant refusing the relationship. Of necessity, we adopted single-item measures for most topics investigated in order to keep the survey instrument brief for classroom administration.
Outcomes
The two main outcomes were defined as: (1) having ever had sexual intercourse; and (2) having used a condom at last sexual intercourse. Participants were asked to report their age at first sex, if they had ever used a condom and, if sexually active in past 6 months, if they had used a condom at their last sexual intercourse. If they were not sexually active, they were asked why. To address inconsistencies in responses to questions concerning sexual activity, decision rules were constructed. Participants who reported an age at first sex were categorised as ‘ever sexually active’ (n = 239). Further, participants indicating sexual experience in response to at least two other questions (e.g. ‘have you ever used a condom?’) were coded as sexually active, even if they provided no age of first sex. Participants reporting sexual activity before 13 years old were defined as ‘early sexual debut’. These participants (n = 66) were omitted from the main analyses of sexual activity out of concern they would have atypical patterns of sexual and preventive behaviours, possibly indicating abuse. Accordingly, only participants with sexual debut at age 13 or older were included in the analyses for both outcomes, resulting in a denominator of n = 173 for sexual activity and n = 165 for condom use, due to missing values.
Social-cognitive predictors of the outcomes
Items included in each of the following domains are shown in Table 1.
Table 1.
Mean (s.d.) or Percentage | ||||
---|---|---|---|---|
NB | All (n = 983) | Boys (n = 432) | Girls (n = 551) | |
Sex | 983 | 100.0 | 43.9 | 56.1 |
Age (Mean) | 983 | 15.4 | 15.6 | 15.3 |
Grade | ||||
8 | 365 | 24.0 | 40.0 | 34.8 |
9 | 382 | 37.1 | 40.7 | 37.4 |
10 | 236 | 38.9 | 19.3 | 27.8 |
Total | 100.0 | 100.0 | 100.0 | |
Knowledge | ||||
Knowledge of HIV, sexually transmissible infections, pregnancyA (6 items, mean proportion correct) | 980 | 59.0 (±0.24) | 62.1 (±0.22) | 56.4 (±0.26) |
Risk perception | ||||
My partner or I could get HIV infected if we had sex with no condom (1–4, 4 = strongly agree) | 943 | 3.32 (±1.03) | 3.36 (±1.02) | 3.29 (±1.04) |
I believe I am at risk of getting pregnant or getting my partner pregnant (1–4, 4 = strongly agree) | 943 | 2.51 (±1.21) | 2.53 (±1.17) | 2.5 (±1.23) |
Self-efficacy | ||||
If I did not want to have sex, I would be able to say no to a partner (1–4, 4 = strongly agree). | 935 | 3.12 (±1.20) | 2.97 (±1.23) | 3.24* (±1.18) |
I would be able to tell my partner that I would like to use a condom. (1–4, 4 = strongly agree) | 954 | 3.56 (±0.90) | 3.58 (±0.87) | 3.55 (±0.92) |
Perceptions of peer behaviour | ||||
Of the girls/boys you know, how many do you think have had sexual intercourse? (2 items, 1–4, 1 = few/none, 4 = most/all) | 972 | 2.98 (±0.91) | 3.03 (±0.85) | 2.93 (±0.95) |
Of the girls/boys you know, how many do you think use condoms with their girlfriends? (2 items, 1–4, 1 = few/none, 4 = most/all) | 965 | 2.28 (±0.83) | 2.35 (±0.82) | 2.23 (±0.83) |
Of the girls/boys you know, how many do you think are infected with HIV? (2 items, 1–4, 4 = most/all) | 968 | 1.82 (±0.95) | 1.75 (±0.90) | 1.88 (±0.99) |
Gender role norms and values | ||||
It is okay for a girl to propose love to a boy (1 item, 1–4, 4 = strongly agree) | 890 | 1.71 (±1.14) | 2.07 (±1.30) | 1.43* (±0.92) |
It is all right for a boy to pressure a girl if she does not want to have sex, even if he uses force (1 item, 1–4, 4 = strongly agree) | 983 | 1.59 (±1.02) | 1.70 (±1.10) | 1.51* (±0.95) |
It is okay for a girl to refuse sex if her partner refuses to use a condom (1 item, 1–4, 4 = strongly agree) | 2.95 (±1.29) 2.78 (±1.31) |
2.8 (±1.30) 2.67 (±1.32) |
3.07* (±1.28) 2.86 (±1.29) |
|
It is okay for a boy to refuse sex if his partner refuses to use a condom (1 item, 1–4, 4 = strongly agree) | ||||
When a boy suggests using a condom, it means he has had sex with many people (1 item, 1–4, 4 = strongly agree) | 2.4 (±1.18) 2.25 (±1.20) |
2.3 (±1.18) 2.38 (±1.22) |
2.48 (±1.18) 2.14* (±1.18) |
|
When a girl suggests using a condom, it means she has had sex with many people (1 item, 1–4, 4 = strongly agree) | ||||
Attitudes and beliefs about condoms and sexual activity | ||||
Using condoms is a way to show love and respect for your partner (1 item, 1–4, 4 = strongly agree) | 939 | 3.19 (±1.12) | 3.24 (±1.09) | 3.16 (±1.14) |
I would be afraid my partner would break up with me if I did not want to have sex (1 item, 1–4, 4 = strongly agree) | 940 | 2.16 (±1.20) | 2.31 (±1.23) | 2.04* (±1.17) |
Significant difference by t-test between boys and girls, P < 0.05
Combines the following items: 1 ‘If symptoms of an STI go away, the disease has also gone away’; 2 ‘Can usually tell a person has HIV just by looking’, 3 ‘Condom protects against pregnancy, HIV, STD’; 4 ‘Can prevent pregnancy, HIV, STDs by abstaining from sex’; 5 ‘Girl can get pregnant at first sex’; 6 ‘Depo Provera and oral contraceptives prevent both HIV and pregnancy’.
These Ns are the denominators for each variable.
Knowledge
Six items were used to assess HIV transmission, pregnancy and prevention knowledge, with each having response categories of ‘agree’, ‘disagree’, and ‘don't know’. A composite knowledge measure was created from summing correct answers to all items.
All items in the following domains used a 4-point response scale.
Risk perception
Two items assessing (1) HIV and (2) pregnancy risk perception were included.
Self-efficacy
Two items measured self-efficacy regarding refusal of sex and condom initiation
Perceptions of peer behaviours
These included gender-specific measures (six items) of the perceived prevalence of peer sexual activity, condom use, and HIV infection.
Gender role norms and values
Six items measured gender role norms and gender values; for example, ‘It is alright for a boy to pressure a girl if she does not want to have sex, even if he uses force’; ‘It is okay for a boy/ girl to refuse sex if his/her partner refused to use a condom’. Both girls and boys were asked all items.
Beliefs and attitudes towards condoms and sexual activity
Two items measured normative beliefs about the acceptability and meaning of condom-related behaviours and sexual activity, as in: ‘Using condoms is a way to show love and respect for your partner’.
Preventive, sexual and other risk behaviours
Several other measures of sexual risk and protective behaviours (shown in Table 2) were included, such as current (past 6 months) condom and other contraceptive use, frequency of sexual activity, partnering behaviours (including number of partners), and ever having had anal sex. Substance use assessments included questions on ever use and frequency of alcohol use and marijuana (dagga). All questions were asked to all participants, with the exception of questions pertaining to sexual activity (condom use, contraceptive use, number of sexual partners, frequency of sexual activity). Finally, sexually active participants were asked an additional question regarding ever having sex while using alcohol or drugs.
Table 2.
N | All (n = 979%) | Boys (n = 431%) | Girls (n = 548%) | |
---|---|---|---|---|
Sexual behaviour | ||||
Sexual activity | 979 | 24.4 | 37.7 | 13.8* |
Ever had sex: | ||||
■ Early sexual debut (≤age 12) | 66 | 6.7 | 13.2 | 1.6 |
■ Debut > age 12 | 173 | 17.6 | 24.5 | 12.2 |
Never had sex | 740 | 75.3 | 62.0 | 85.7 |
Ever had sexA, by current age**: | 173 | |||
14 | 12.1 | 24.4 | 6.2* | |
15 | 24.6 | 37.6 | 13.2* | |
16 | 27.3 | 40.2 | 17.6* | |
17 | 33.9 | 42.3 | 23.9* | |
If you have never had sex, what are your reasons? (multiple answers possible) | 740 | |||
■ I want to prevent pregnancy | 29.6 | 15.5 | 40.7* | |
■ I want to prevent AIDS or another STD | 48.7 | 44.2 | 52.3 | |
■ It is against my values to have sex now | 23.1 | 19.0 | 26.3 | |
■ I have not had an opportunity to have sex yet | 21.3 | 21.1 | 21.4 | |
Ever had anal sex | 163 | 11.7 | 11.1 | 12.5 |
Condom and contraceptive use | ||||
Among all sexually active respondents | ||||
Ever discussed condom useB | 165 | 59.6 | 56.7 | 64.1* |
Ever used a condom | 167 | 71.8 | 72.0 | 71.6 |
Condom used at last sex | 165 | 46.1 | 46.5 | 45.5 |
Contraceptive use in past 6 months | ||||
■ Oral contraceptives | 124 | 10.5 | 8.2 | 8.0 |
■ Injectable contraception (Depo Provera and Nuristerate) | 125 | 13.6 | 13.2 | 10.0 |
■ Male condoms | 125 | 44.8 | 49.4 | 37.5 |
■ Female condoms | 110 | 20.9 | 14.8 | 28.6 |
■ Withdrawal | 109 | 26.6 | 23.7 | 30.0 |
■ Thigh sex (ukusoma) | 105 | 20.0 | 15.9 | 26.2 |
■ No method | 52 | 18.3 | 35.3 | 16.7 |
■ Don't know | 44 | 15.9 | 17.2 | 13.3 |
Partnership characteristics | ||||
Number of partners in last 6 months (median) % reporting ≤1 partner in last 6 months | 173 | 1.0 (range = 0–99) | 2.0 (range = 0–99) | 1.0 (range = 0–8) |
45.1 | 32.1 | 65.7* | ||
Sex occasions in last 6 months (median) % reporting ≤2 sex occasions in last 6 months | 173 | 2.0 (range = 0–25) | 2.0 (range = 0–20) | 2.0 (range = 0–25) |
18.5 | 16.0 | 22.4* | ||
Substance use behaviours | ||||
Among all respondents: | ||||
Alcohol use in last 6 months | 983 | 14.5 | 23.1 | 7.8* |
Marijuana (dagga) in last 6 months | 983 | 1.9 | 2.1 | 1.8 |
Among sexually active respondents: Alcohol use in last 6 months | 173 | 24.9 | 29.2 | 17.9* |
Marijuana (dagga) in last 6 months | 173 | 5.2 | 3.8 | 7.5 |
Ever had sex while using alcohol or drugs (sexually active respondents only) | 173 | 8.1 | 10.5 | 4.5* |
Significant difference by χ2 between boys and girls, P < 0.05
Significant difference by age (trend towards increasing sexual activity with age)
Denominator for all analyses of ‘ever had sexual intercourse’ includes only those who had first sex at age 13 or older.
Denominator for all condom variables, including the outcome ‘condom use at last sex’ is a sub-set of sexually active respondents, n = 165, due to missing values.
Data analysis
Preliminary analyses assessed the internal consistency reliability of items within each social–cognitive construct. Cronbach's alphas were low, possibly related to the small number of items, and single items were used in analysis, rather than scales.
First, boys and girls were compared on all behaviours and attitudes, reflecting hypothesised gender differences, using t-tests to compare means and chi-squared statistics for comparison of proportions. Second, based on a priori hypotheses about the likely correlates of each outcome, we conducted simple logistic regression analyses within gender to estimate the relationship of each variable to the outcome of interest. Third, based on the results of simple regression analyses and guided by theory, multiple logistic regression models were constructed. For each outcome, all variables showing a significant association (at P ≤ 0.10) with the dependent variable in the simple regression analyses were included in the initial model. Models were then assessed for multicollinearity. Guided by theory, we dropped variables correlated with others tapping a similar construct. In the final models, non-significant variables were dropped. Because outcome variables were correlated for the participants from the same schools, Generalised Estimating Equations (GEE) methodology was used to obtain standard error estimates that accounted for the within-school correlations.38 Statistical analysis was performed using SPSS (SPSS Inc, Chicago, IL, USA).
Results
Of the 983 youth participating in the survey (mean age 15.4), 56.1% were girls and 43.9% boys. One-quarter were in Grade 8 (24.0%), while 37.1% and 38.9% were in Grades 9 and 10, respectively.
Overall, boys and girls achieved a mean knowledge score of 59% correct (Table 1). However, misinformation about HIV transmission, as well as pregnancy and contraception, was common. For instance, most participants correctly responded to the statements ‘a condom will protect against pregnancy, HIV and STDs’ (87.9%) and ‘a person can prevent HIV, pregnancy and STDs by abstaining from sex’ (74.6%) (not shown). But only 42.6% believed a girl could get pregnant the first time she had sex (not shown). Further, 63.3% responded incorrectly to the statement: ‘Depo Provera and oral contraceptive pills prevent both HIV and pregnancy’ (not shown).
Self-efficacy for condom use was equal between boys and girls. Girls, however, expressed greater self-efficacy regarding refusal of sex (Table 1). Participants most often perceived that peers were sexually active (mean = 2.98), and least often perceived they were HIV-infected (mean = 1.82); peer condom use perceptions fell in between (mean = 2.28) (Table 1).
Boys scored higher on the item ‘it is okay for a girl to propose love’ (i.e. initiate a romantic relationship) and were more likely to express concern that their partner would break up the relationship if he did not want to have sex (Table 1). Boys also scored higher on the belief that it is all right for a boy to pressure a girl into sex. Boys and girls believed equally that condom use demonstrates love and respect for a partner (Table 1), although boys more often believed that a girl suggesting condom use means she has multiple partners.
Only one-quarter of participants (n = 239) reported ever having sexual intercourse, with significant differences by gender (37.7% boys v. 13.8% girls, P = 0.00), and age (Table 2). Among those not sexually experienced (n = 740), 48.7% reported remaining abstinent to prevent HIV or another STD, with no significant difference by gender. Abstinence to prevent pregnancy was cited by 40.7% of girls, but only 15.5% of boys (Table 2).
A high proportion of sexually active boys and girls reported lifetime condom use (72% boys; 71.6% girls), and almost half reported condom use at last sex (45.5% boys; 46.5% girls). Current use of other modern contraceptive methods was low, although 28.6% of girls using contraception reported ever female condom use, and 26.6% reported using withdrawal (Table 2).
Boys’ median number of partners in the last six months was 2 (range 0–99), versus 1 for girls (range 0–8) (Table 2). Although the median number of sex occasions in the last 6 months (2.0) was the same for both sexes, girls were slightly more likely to report two or fewer episodes of sex during that time period. Among sexually active participants, boys (10.5%) were more likely than girls (4.5%, P < 0.05) to report having sex while using drugs or alcohol (Table 2).
In the simple regression analyses, 11 items were tested for significance in relation to the outcome ‘ever sexual activity’. These variables, and the expected direction of association with the outcome, were: older current age, lower knowledge, lower risk perception (HIV and pregnancy), higher perception of peer sexual activity (boys or girls), low self-efficacy for sexual refusal, and measures of gender beliefs, including acceptance of non-traditional female relationship roles, fear of break-up if sexual activity was refused, and acceptance of sexual coercion (Table 3).
Table 3.
Boys (n = 329) | Girls (n = 449) | |||
---|---|---|---|---|
Adjusted odds ratio (95% CI) | P-value | Adjusted odds ratio (95% CI) | P-value | |
Age (in years) | 1.49 (1.32–1.67) | <0.0001 | 1.74 (1.07–2.83) | 0.02 |
Knowledge score | 4.85 (0.97–24.29) | 0.055 | ||
Gender role norms and values | ||||
It is okay for a girl to propose love | 1.30 (1.25–1.36) | <0.0001 | ||
It is okay for a girl to refuse sex when her boyfriend refuses to use a condom | 1.23 (1.05–1.45) | <0.01 | ||
Risk perception | ||||
I believe I am at risk of getting pregnant or getting my partner pregnant | 1.32 (1.05 – 1.67) | 0.02 | ||
Perceptions of peer behaviours | ||||
Of the girls you know, how many do you think have had sexual intercourse | 1.32 (1.11–1.60) | <0.01 | ||
Of the boys you know, how many do you think have had sexual intercourse | 1.48 (1.05–2.03) | <0.001 |
CI, confidence interval
Variables included in the simple logistic regression models were: age, reproductive health knowledge, pregnancy and HIV risk perception, perceived levels of peer sexual activity among boys and girls, self-efficacy for sexual refusal (if I did not want to have sex, I would be able to say no to a partner), and measures of selected gender beliefs, including acceptance of non-traditional female relationship roles (okay for a girl to propose love), fear of break-up if sexual activity was refused, and acceptance of sexual coercion (it is okay for a boy to pressure a girl to have sex, even if he uses force).
Data analyses were conducted on the full sample (n = 983). However, missing data reduced the sample to n = 778, as described in the table.
Multiple logistic regression analyses using GEE to account for the cluster effect revealed gender differences in predictors for each outcome. Age was a significant independent predictor of ever having sexual intercourse for boys and girls (Table 3). For girls, higher risk perception related to pregnancy (‘I believe I am at risk of getting pregnant or getting my partner pregnant’) (adjusted odds ratio (AOR) = 1.32 (95% confidence interval (CI) 1.05–1.67), P = 0.02) was also a significant predictor, whereas knowledge was of borderline statistical significance (AOR = 4.85 (95% CI 0.97–24.29), P = 0.055). For boys, other significant predictors of sexual activity included a higher perception that both female (AOR = 1.32 (95% CI 1.11–1.60), P < 0.01) and male (AOR = 1.48, P < 0.001) peers were sexually active, a stronger belief that ‘it is okay for a girl to propose love to a boy’ (AOR = 1.30 (95% CI 1.25–1.36), P < 0.0001), and stronger support for sex refusal, specifically that ‘It is okay for a girl to refuse sex when her boyfriend refuses to use a condom’ (AOR = 1.23 (95% CI 1.05–1.45), P < 0.01).
In simple regression analyses for ‘condom use at last intercourse’, 22 items were tested for significance in relation to the outcome. These variables and their expected direction of association with the outcome were: older age, higher knowledge, more than one partner in past 6 months, smaller age difference with first partner, higher risk perception (HIV and pregnancy), positive condom attitudes, higher condom self-efficacy, higher perceived levels of peer condom use and HIV infection, more equitable gender role norms (five items), having discussed condom use with partner, lower levels of alcohol/drug use, anal sex experience, more frequent sexual activity, and non-use of contraception (Table 4).
Table 4.
Boys (n = 106) | Girls (n = 59) | |||
---|---|---|---|---|
Adjusted odds ratio (95% CI) | P-value | Adjusted odds ratio (95% CI) | P-value | |
Age | 1.82 (1.72–1.93) | <0.0001 | ||
Risk and peer perceptions | ||||
Perception that male peers are using Condoms | 1.79 (1.22–2.59) | <0.01 | ||
Condom attitudes and perceptions | ||||
Using condoms is a way to show love and respect for a partner | 1.49 (1.04–2.12) | 0.03 | ||
When a girl suggests using a condom, it means she has had sex with many people | 1.54 (0.99–2.41) | 0.054 | ||
Ever discussed condom use with a partner | 7.39 (2.86–18.92) | <0.0001 | 5.58 (3.16–9.78) | <0.0001 |
CI, confidence interval
Variables included in the simple logistic regression models were: age: knowledge; number of partners in past 6 months; partner age differences at first sex; risk perception for (1) HIV and (2) pregnancy; condom use self-efficacy; condom attitudes (using condoms is a way to show love and respect for your partner); perceptions of peer condom use and HIV infection (separate measures for boys/girls); five measures of gender role norms (it is okay for a girl to propose love; it is okay for a boy/girl to refuse sex if his/her partner refuses to use a condom (two items); when a boy/girl suggests using a condom, it means s/he has had sex with many people (two items); having discussed condom use with partner; alcohol/drug use during sex; anal sex experience; frequency of sexual activity; and contraceptive use in past 6 months.
In multiple logistic regression analyses, the strongest predictor of condom use at last sex for both boys and girls was having discussed condom use with a partner. For boys, this was associated with a seven-fold increase in the odds of condom use at last sex, and for girls, with a five-fold increase (Table 4). Older boys (AOR = 1.82 (95% CI 1.72–1.93), P < 0.0001), boys with a stronger endorsement of the idea that ‘using condoms is a way to show love and respect for your partner’ (AOR = 1.49 (95% CI 1.04–2.12), P = 0.03) and boys who perceived that male peers were using condoms (AOR = 1.79 (95% CI 1.22–2.59), P < 0.01) also had significantly higher odds of condom use at last sex. Girls who perceived condom use to be associated with having numerous partners showed a trend to be associated with a higher odds of using condoms at last sex (AOR = 1.54 (95% CI 0.99–2.41), P = 0.054).
Discussion
These findings provide insight into two key dimensions of sexual risk behaviour, condom use and sexual activity among school-going adolescents in rural KwaZulu-Natal, South Africa. The finding that discussion between partners about condoms was strongly associated with condom use for boys and girls is important, as gender inequalities often limit negotiation and communication among South African adolescents.23,31,35,39 Partner communication, as well as knowledge and risk perception – significant predictors of sexual activity for girls – are also important as factors amenable to intervention.40 Similarly, the association of perceived peer behaviours with both sexual activity and condom use for boys suggests the importance of targeting peer influences, as in other settings,41 particularly among boys.
In addition, significant predictors of sexual activity for boys included support for girls’ initiating relationships and the belief that it is okay for a girl to refuse sex if her boyfriend refuses condom use. These findings indicate some change in young men's attitudes towards gender and sexuality. Similarly, endorsement of the idea that condom use symbolises love and respect for a partner was a significant predictor of boys’ condom use, indicating changes in both condom attitudes and gender beliefs.
Some descriptive findings and gender comparisons challenged expected gender-related beliefs, such as boys supporting girls’ initiative in starting relationships, and admitting fear that a girlfriend would break up a relationship if he refused to have sex. However, boys were also more accepting of girls being pressured into sex, and to view a girl's – but not a boy's – suggestion of condom use as a reflection of promiscuity. The girls’ strong sense of self-efficacy regarding sexual refusal if a boyfriend refused condom use was also unexpected, as was the perception of both sexes that condom use symbolises love and respect for a partner.
The importance of age and developmental trends within adolescence was underscored by the significant associations between older age and sexual activity for boys and girls, and condom use for boys. With greater experience and maturity, older adolescents are likely more able to negotiate sexual activity and condom use. The fact that age was not significantly associated with condom use for girls likely reflects limited negotiating power in relationships with older partners. Finally, the association between higher knowledge and sexual intercourse for girls underscores the importance of providing, prior to sexual debut, high-quality, accurate sexual health information40 because developmentally those with access to knowledge may also be more likely to be sexually active. This is the most likely explanation for the finding that higher knowledge was associated with sexual activity for girls, as it is impossible to account for temporal order in this cross-sectional survey. Similarly, the fact that girls’ belief that condom use symbolises having multiple partners was significantly associated with condom use may indicate that girls with more partners are more likely to use condoms.
Although low, the proportion of girls reporting sexual activity is consistent with a median age of 16–17 years for sexual debut across South Africa.3,4,12 Similarly, high levels of reported condom use reflect national trends.2,3 School-going youth generally report better protective behaviours, possibly reflected in the high condom use levels reported here.41 More likely, these self-reported behaviours reflect social desirability biases, possibly exacerbated by conducting the survey in classrooms, which can inhibit accurate reporting of sensitive behaviours,42–44 as well as participants’ concerns regarding confidentiality, even in an anonymous survey. Other potential threats to validity include the classroom environment itself, possible limitations in the translation of certain concepts, and possible confounding due to an inability to control for a broader range of factors, such as socioeconomic status or family influences. A further limitation of the present study is the small sample size, resulting in large confidence intervals around some multivariate results, which is an important consideration in interpreting the findings. The generalisability of these findings is also limited by the fact that this study is small and conducted in only a few schools, with a relatively homogeneous sample.
HIV prevention for young people is a top public health policy priority in South Africa, although questions remain about how best to achieve this. Delayed sexual debut, consistent condom use, and dual protection are recognised globally as appropriate and important prevention strategies for adolescents. How can these goals be achieved in South Africa? The findings of this study suggest three key areas – communication and negotiation skills, modelling positive peer norms, and gender beliefs and values – as important mediators of increased protective behaviours. Broader evidence from South Africa and elsewhere also points to the importance of gender and other risk contexts, including alcohol use,45 sexual coercion,33,39,46 and non-schooling.47 Addressing gender, peer influences and communication skills as important pathways to risk could better tailor HIV prevention efforts towards young people's needs, helping to reduce HIV infection in high prevalence settings like South Africa.
Footnotes
Conflicts of interest
None declared.
References
- 1.UNAIDS . 2008 Report on the Global AIDS Epidemic. Joint United Nations Programme on HIV/AIDS; Geneva: 2008. [Google Scholar]
- 2.Shisana O, Rehle T, Simbayi LC, Parker W, Zuma K, Bhana A, et al. South African National HIV prevalence, HIV incidence and behaviour and communication survey, 2008: a turning tide among teenagers? HSRC Press; CapeTown: 2009. [Google Scholar]
- 3.Pettifor A, Rees H, Kleinschmidt I, Steffenson AE, MacPhail C, Hlongwa-Madikizela L, et al. Young people's sexual health in South Africa: HIV prevalence and sexual behaviors from a nationally representative household survey. AIDS. 2005;19:1525–34. doi: 10.1097/01.aids.0000183129.16830.06. doi:10.1097/01.aids.0000183129.16830.06. [DOI] [PubMed] [Google Scholar]
- 4.Department of Health. Republic of South Africa. Measure DHS. ORC Macro . South Africa demographic and health survey 2003: Preliminary report. Department of Health; Pretoria: 2004. [Google Scholar]
- 5.Department of Health. Republic of South Africa . National HIV sero-prevalence survey of women attending public antenatal clinics in South Africa, 2009. Summary Report. Department of Health; Pretoria: 2010. [Google Scholar]
- 6.Welz T, Hosegood V, Jaffar S, Batzing-feigenbaum J, Herbst K, Newell ML. Continued very high prevalence of HIV infection in rural KwaZulu-Natal, South Africa: a population-based longitudinal study. AIDS. 2007;21:1467–72. doi: 10.1097/QAD.0b013e3280ef6af2. doi:10.1097/QAD.0b013e3280ef6af2. [DOI] [PubMed] [Google Scholar]
- 7.Moyo W, Levandowski B, MacPhail C, Rees H, Pettifor A. Consistent condom use in South African youth's most recent sexual relationships. AIDS Behav. 2008;12:431–40. doi: 10.1007/s10461-007-9343-3. doi:10.1007/s10461-007-9343-3. [DOI] [PubMed] [Google Scholar]
- 8.Hendriksen E, Pettifor AE, Lee SJ, Coates TJ, Rees HV. Predictors of condom use among young adults in South Africa: the Reproductive Health and HIV Research Unit National Youth Survey. Am J Public Health. 2007;97:1241–8. doi: 10.2105/AJPH.2006.086009. doi:10.2105/AJPH.2006.086009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sayles JN, Pettifor A, Wong MD, MacPhail C, Lee SJ, Hendriksen E, et al. Factors associated with self-efficacy for condom use and sexual negotiation among South African youth. J Acquir Immune Defic Syndr. 2006;43:226–33. doi: 10.1097/01.qai.0000230527.17459.5c. doi:10.1097/01.qai.0000230527.17459.5c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jemmott JB, Heeren G, Ngwane Z, Hewitt N, Jemmott LS, Shell R, et al. Theory of planned behavior predictors of intention to use condoms among Xhosa adolescents in South Africa. AIDS Care. 2007;19:677–84. doi: 10.1080/09540120601084308. doi:10.1080/09540120601084308. [DOI] [PubMed] [Google Scholar]
- 11.MacPhail C, Campbell C. “I think condoms are good but, aai, I hate those things”: condom use among adolescents and young people in a Southern African township. Soc Sci Med. 2001;52:1613–27. doi: 10.1016/s0277-9536(00)00272-0. doi:10.1016/S0277-9536(00)00272-0. [DOI] [PubMed] [Google Scholar]
- 12.Boulle A, Hilderbrand K, Menten J, Coetzee D, Ford N, Matthys F, et al. Exploring HIV risk perception and behaviour in the context of antiretroviral treatment: results from a township household survey. AIDS Care. 2008;20:771–81. doi: 10.1080/09540120701660387. doi:10.1080/09540120701660387. [DOI] [PubMed] [Google Scholar]
- 13.Kilian AHD, Gregson S, Ndyanabangi B, Walusaga K, Kipp W, Sahlmüller G, et al. Reductions in risk behaviour provide the most consistent explanation for declining HIV-1 prevalence in Uganda. AIDS. 1999;13:391–8. doi: 10.1097/00002030-199902250-00012. doi:10.1097/00002030-199902250-00012. [DOI] [PubMed] [Google Scholar]
- 14.Fylkesnes K, Musonda RM, Sichone M, Ndhlovu Z, Tembo F, Monze M. Declining HIV prevalence and risk behaviours in Zambia: evidence from surveillance and population-based surveys. AIDS. 2001;15:907–16. doi: 10.1097/00002030-200105040-00011. doi:10.1097/00002030-200105040-00011. [DOI] [PubMed] [Google Scholar]
- 15.Mbulaiteye SM, Mahe C, Whitworth JAG, Ruberantwari A, Nakiyingi JS, Ojwiya A, et al. Declining HIV-1 incidence and associated prevalence over 10 years in a rural population in south-west Uganda: a cohort study. Lancet. 2002;360:41–6. doi: 10.1016/s0140-6736(02)09331-5. doi:10.1016/S0140-6736(02)09331-5. [DOI] [PubMed] [Google Scholar]
- 16.Harrison A. Hidden love: Sexual ideologies and relationship ideals among rural South African adolescents in the context of HIV/AIDS. Cult Health Sex. 2008;10:175–89. doi: 10.1080/13691050701775068. doi:10.1080/13691050701775068. [DOI] [PubMed] [Google Scholar]
- 17.Eaton L, Flisher AJ, Aaro LE. Unsafe sexual behaviour in South African youth. Soc Sci Med. 2003;56:149–65. doi: 10.1016/s0277-9536(02)00017-5. doi:10.1016/S0277-9536(02)00017-5. [DOI] [PubMed] [Google Scholar]
- 18.Taylor M, Dlamini SB, Kagoro M, Jinabhai CC, De Vries M. Understanding high school students’ risk behaviors to help reduce the HIV/AIDS epidemic in KwaZulu-Natal, South Africa. J Sch Health. 2003;73:97–100. doi: 10.1111/j.1746-1561.2003.tb03580.x. doi:10.1111/j.1746-1561.2003.tb03580.x. [DOI] [PubMed] [Google Scholar]
- 19.Karnell AP, Cupp PK, Zimmerman RS, Feist-Price S, Bennie T. Efficacy of an American alcohol and HIV prevention curriculum adapted for use in South Africa: Results of a pilot study in five township schools. AIDS Educ Prev. 2006;18:295–310. doi: 10.1521/aeap.2006.18.4.295. doi:10.1521/aeap.2006.18.4.295. [DOI] [PubMed] [Google Scholar]
- 20.Wegner L, Flisher AJ, Caldwell LL, Vergnani T, Smith EA. Healthwise South Africa: cultural adaptation of a school-based risk prevention programme. Health Educ Res. 2007;23:1085–96. doi: 10.1093/her/cym064. doi:10.1093/her/cym064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Mathews C, Aaro LE, Flisher AJ, Mukoma W, Wubs AG, Schaalma H. Predictors of early first sexual intercourse among adolescents in Cape Town, South Africa. Health Educ Res. 2009;24:1–10. doi: 10.1093/her/cym079. doi:10.1093/her/cym079. [DOI] [PubMed] [Google Scholar]
- 22.James S, Reddy P, Ruiter RA, McCauley A, van den Borne B. Impact of an HIV and AIDS life skills program on secondary school students in KwaZulu-Natal, South Africa. AIDS Educ Prev. 2006;18:281–94. doi: 10.1521/aeap.2006.18.4.281. doi:10.1521/aeap.2006.18.4.281. [DOI] [PubMed] [Google Scholar]
- 23.Magnani R, MacIntyre K, Karim AM, Brown L, Hutchinson P, Kaufman C, et al. The impact of life skills education on adolescent sexual risk behaviors in KwaZulu-Natal, South Africa. J Adolesc Health. 2005;36:289–304. doi: 10.1016/j.jadohealth.2004.02.025. doi:10.1016/j.jadohealth.2004.02.025. [DOI] [PubMed] [Google Scholar]
- 24.Morrell R, Epstein D, Unterhalter E, Bhana D, Moletsane R. Towards Gender Equality? South African Schools during the HIV/AIDS Epidemic. University of KwaZulu-Natal Press; Pietermaritzburg: 2009. [Google Scholar]
- 25.Pronyk P, Hargreaves J, Kim JC, Morison LA, Phetla G, Watts C, et al. Effect of a structural intervention for the prevention of intimate-partner violence and HIV in rural South Africa: a cluster randomised trial. Lancet. 2006;368:1973–83. doi: 10.1016/S0140-6736(06)69744-4. doi:10.1016/S0140-6736(06)69744-4. [DOI] [PubMed] [Google Scholar]
- 26.Jewkes R, Nduna M, Levin J, Jama N, Dunkle K, Puren A, et al. Impact of stepping stones on incidence of HIV and HSV-2 and sexual behaviour in rural South Africa: cluster randomised controlled trial. BMJ. 2008;337:a506. doi: 10.1136/bmj.a506. doi:10.1136/bmj.a506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Statistics South Africa . Census 2001: The people of South Africa population census. Primary Tables, KwaZulu-Natal. Statistics South Africa; Pretoria: 2004. [Google Scholar]
- 28.Harrison A. The social dynamics of adolescent risk for HIV: using research findings to design a school-based intervention. Agenda. 2002;53:43–52. [Google Scholar]
- 29.Harrison A, Smit J, Exner T, Hoffman S, Mantell J. Mpondombili Project: gender inequalities and young people's sexual health in rural South Africa. Sex Health Exch. 2004;3/4:5–8. [Google Scholar]
- 30.Mantell J, Harrison A, Hoffman S, Smit J, Stein ZA, Exner T. The Mpondombili Project: preventing HIV/AIDS and unintended pregnancy among rural South African school-going youth. Reprod Health Matters. 2006;14:113–22. doi: 10.1016/S0968-8080(06)28269-7. doi:10.1016/S0968-8080(06)28269-7. [DOI] [PubMed] [Google Scholar]
- 31.Harrison A, Xaba N, Kunene P. Understanding safe sex: gender narratives of HIV and pregnancy prevention by rural South African school-going youth. Reprod Health Matters. 2001;9:63–71. doi: 10.1016/s0968-8080(01)90009-6. doi:10.1016/S0968-8080(01)90009-6. [DOI] [PubMed] [Google Scholar]
- 32.Varga CA. Sexual decision-making and negotiation in the midst of AIDS: youth in KwaZulu-Natal, South Africa. Health Transit Rev. 1997;7:45–67. [Google Scholar]
- 33.Wood K, Maforah F, Jewkes RK. “He forced me to love him”: putting violence on adolescent sexual health agendas. Soc Sci Med. 1998;47:233–42. doi: 10.1016/s0277-9536(98)00057-4. doi:10.1016/S0277-9536(98)00057-4. [DOI] [PubMed] [Google Scholar]
- 34.Kaufman CE, DeWet T, Stadler J. Adolescent pregnancy and parenthood in South Africa. Stud Fam Plann. 2001;32:147–60. doi: 10.1111/j.1728-4465.2001.00147.x. doi:10.1111/j.1728-4465.2001.00147.x. [DOI] [PubMed] [Google Scholar]
- 35.Varga CA. How gender roles influence sexual and reproductive health among South African adolescents. Stud Fam Plann. 2003;34:160–72. doi: 10.1111/j.1728-4465.2003.00160.x. doi:10.1111/j.1728-4465.2003.00160.x. [DOI] [PubMed] [Google Scholar]
- 36.Campbell CA. Male gender roles and sexuality: implications for women's AIDS risk and prevention. Soc Sci Med. 1995;41:197–210. doi: 10.1016/0277-9536(94)00322-k. doi:10.1016/0277-9536(94)00322-K. [DOI] [PubMed] [Google Scholar]
- 37.Rivers K, Aggleton P. Adolescent sexuality, gender and the HIV epidemic. United Nations Development Programme; New York: 2000. [Google Scholar]
- 38.Liang K, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73:13–22. doi:10.1093/biomet/73.1.13. [Google Scholar]
- 39.Jewkes RK, Levin JB, Penn-Kekana LA. Gender inequalities, intimate partner violence and HIV preventive practices: findings of a South African cross-sectional study. Soc Sci Med. 2003;56:125–34. doi: 10.1016/s0277-9536(02)00012-6. doi:10.1016/S0277-9536(02)00012-6. [DOI] [PubMed] [Google Scholar]
- 40.Lloyd C, editor. Growing up Global: The changing transitions to adulthood in developing countries. National Academies Press; Washington, DC: 2005. [Google Scholar]
- 41.Magnani RJ, Karim AM, Weiss LA, Bond KC, Lemba M, Morgan GT. Reproductive health and risk and protective factors among youth in Lusaka, Zambia. J Adolesc Health. 2002;30:76–86. doi: 10.1016/s1054-139x(01)00328-7. doi:10.1016/S1054-139X(01)00328-7. [DOI] [PubMed] [Google Scholar]
- 42.Plummer M, Ross D, Wight D, Changalucha J, Mshana G, Wamoyi J, et al. “A bit more truthful”: the validity of adolescent sexual behavior data collected in rural northern Tanzania using five methods. Sex Transm Infect. 2004;80:ii49–56. doi: 10.1136/sti.2004.011924. doi:10.1136/sti.2004.011924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Mensch BS, Hewett PC, Erulkar AS. The reporting of sensitive behavior by adolescents: a methodological experiment in Kenya. Demography. 2003;40:247–68. doi: 10.1353/dem.2003.0017. doi:10.1353/dem.2003.0017. [DOI] [PubMed] [Google Scholar]
- 44.Gregson S, Zhuwau T, Ndlovu L, Nyamakupa CA. Methods to reduce social desirability bias in sex surveys in low-development settings: experience in Zimbabwe. Sex Transm Dis. 2002;29:568–75. doi: 10.1097/00007435-200210000-00002. doi:10.1097/00007435-200210000-00002. [DOI] [PubMed] [Google Scholar]
- 45.Morojele N, Brook JS, Kachieng'a MA. Perceptions of sexual risk behaviours and substance abuse among adolescents in South Africa: a qualitative investigation. AIDS Care. 2006;18:215–9. doi: 10.1080/09540120500456243. doi:10.1080/09540120500456243. [DOI] [PubMed] [Google Scholar]
- 46.Hoffman S, O'Sullivan LF, Harrison A, Dolezal C, Monroe-Wise A. HIV risk behaviors and the context of sexual coercion in young adults’ sexual interactions: results from a diary study in rural South Africa. Sex Transm Dis. 2006;33:52–8. doi: 10.1097/01.olq.0000187198.77612.d8. doi:10.1097/01.olq.0000187198.77612.d8. [DOI] [PubMed] [Google Scholar]
- 47.Grant M, Hallman K. Pregnancy-related school drop-out and prior school performance in KwaZulu-Natal, South Africa. Stud Fam Plann. 2008;39:369–82. doi: 10.1111/j.1728-4465.2008.00181.x. doi:10.1111/j.1728-4465.2008.00181.x. [DOI] [PubMed] [Google Scholar]