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Erschienen in: BMC Public Health 1/2016

Open Access 01.12.2016 | Research article

Prevalence, type, and correlates of trauma exposure among adolescent men and women in Soweto, South Africa: implications for HIV prevention

verfasst von: Kalysha Closson, Janan Janine Dietrich, Busi Nkala, Addy Musuku, Zishan Cui, Jason Chia, Glenda Gray, Nathan J. Lachowsky, Robert S. Hogg, Cari L. Miller, Angela Kaida

Erschienen in: BMC Public Health | Ausgabe 1/2016

Abstract

Background

Youth trauma exposure is associated with syndemic HIV risk. We measured lifetime prevalence, type, and correlates of trauma experience by gender among adolescents living in the HIV hyper-endemic setting of Soweto, South Africa.

Methods

Using data from the Botsha Bophelo Adolescent Health Survey (BBAHS), prevalence of “ever” experiencing a traumatic event among adolescents (aged 14–19) was assessed using a modified Traumatic Event Screening Inventory-Child (TESI-C) scale (19 items, study alpha = 0.63). We assessed self-reported number of potentially traumatic events (PTEs) experienced overall and by gender. Gender-stratified multivariable logistic regression models assessed independent correlates of ‘high PTE score’ (≥7 PTEs).

Results

Overall, 767/830 (92%) participants were included (58% adolescent women). Nearly all (99.7%) reported experiencing at least one PTE. Median PTE was 7 [Q1,Q3: 5-9], with no gender differences (p = 0.19). Adolescent men reported more violent PTEs (e.g., “seen an act of violence in the community”) whereas women reported more non-violent HIV/AIDS-related PTEs (e.g., “family member or someone close died of HIV/AIDS”). High PTE score was independently associated with high food insecurity among adolescent men and women (aOR = 2.63, 95%CI = 1.36-5.09; aOR = 2.57, 95%CI = 1.55-4.26, respectively). For men, high PTE score was also associated with older age (aOR = 1.40/year, 95%CI = 1.21-1.63); and recently moving to Soweto (aOR = 2.78, 95%CI = 1.14-6.76). Among women, high PTE score was associated with depression using the CES-D scale (aOR = 2.00, 95%CI = 1.31-3.03,) and inconsistent condom use vs. no sexual experience (aOR = 2.69, 95%CI = 1.66-4.37).

Conclusion

Nearly all adolescents in this study experienced trauma, with gendered differences in PTE types and correlates, but not prevalence. Exposure to PTEs were distributed along social and gendered axes. Among adolescent women, associations with depression and inconsistent condom use suggest pathways for HIV risk. HIV prevention interventions targeting adolescents must address the syndemics of trauma and HIV through the scale-up of gender-transformative, youth-centred, trauma-informed integrated HIV and mental health services.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12889-016-3832-0) contains supplementary material, which is available to authorized users.
Abkürzungen
AIC
Akaike information criterion
AIDS
Acquired immune deficiency syndrome
aOR
Adjusted odds ratio
ART
Antiretroviral therapy
BBAHS
Botsha Bophelo adolescent health survey
CES-D
Centre for epidemiologic studies depression
HIV
Human immunodeficiency virus
KMAC
Kganya Motsha Adolescent Centre
PHRU
Perinatal HIV research unit
PLHIV
People living with HIV/AIDS
PrEP
Pre-exposure prophylaxis
PTEs
Potentially traumatic events
PTSD
Post-traumatic stress disorder
STIs
Sexually transmitted infections
TasP
Treatment as prevention
TESI-C
Traumatic event screening inventory-child (TESI-C)
TF-CBT
Trauma-focused cognitive behavioural therapy

Background

South Africa has one of the highest rates of HIV globally, with an adult prevalence of 17.9% [1]. HIV disproportionately affects young people, and young women in particular. Among youth aged 15 to 24 years of age, 13.3% of young women and 3.8% of young men are living with HIV [2]. Addressing the high rate and burden of HIV among South African youth, and adolescent women in particular [3], is a national and global public health priority. While efforts are underway to scale-up access to several biomedical HIV prevention tools, including pre-exposure prophylaxis (PrEP), antiretroviral therapy (ART) for prevention (‘TasP’), medical male circumcision, and female and male condoms [3, 4], demand for these programs will be shaped by the broader developmental, social and structural forces which influence adolescent sexual behaviour [5]. At present, there is a lack of literature on gendered differences in prevalence, types and influence of traumatic experiences and their relationship with adolescent HIV risk.
Experiences of childhood trauma are common among adolescents in South Africa, with estimates of physical and sexual violence in childhood ranging from 1.6–54.2% [6]. Traumatic experiences in childhood and adolescence have serious implications for short and long-term psychological and physical health outcomes, and have been associated with increased incidence of HIV [711]. The pathway from trauma and depression to heightened risk of HIV and other sexually transmitted infections has been described through the negative effects of depression on impulse control, risk perception [12], self-esteem and self-efficacy [13], substance use [14], and socio-structural vulnerability [15], which compromise HIV prevention behaviours [16, 17]. Such pathways are highly gendered, with both the prevalence of depression and associations with increased risk of condomless sex shown to be higher among adolescent women than adolescent men [18].
The disproportionate exposure to potentially traumatic events (PTEs) experienced by people living with HIV (PLHIV), has been referred to as a syndemic (“synergistically interacting epidemics”) [19], yielding a range of poor social, clinical, and public health outcomes, including decreased social functioning, elevated rates of post-traumatic stress disorder (PTSD), increased prevalence of high-risk sexual and drug use behaviours, suboptimal adherence to ART, poor HIV clinical outcomes, increased HIV transmission risk, and higher mortality [7, 9, 10]. Little attention, however, has focused on gendered impacts and the presence of syndemic risks which can have a multiplicative effect on HIV risk [20], including multiple types of PTEs (e.g. physical, sexual, and emotional) [21].
Adolescent men and women are exposed to different types and consequences of trauma, particularly with respect to violent and non-violent forms. Globally, violence against women is a major social justice issue [22, 23], an under-addressed public health priority, and an established risk factor for HIV acquisition and other negative health outcomes [3, 24]. In South Africa, where reports of violence are known to under-estimate the true prevalence [25], 20% of women attending antenatal care reported experiencing sexual violence, among the highest prevalence in the world [22, 26]. Among adolescent men, experiences of perpetrating or witnessing interpersonal violence drive rates of trauma exposure [11, 24, 27]. This is significant as earlier research among South African adolescent men demonstrated an association between witnessing community violence and high sexual HIV risk behaviours such as multiple concurrent sexual partnerships [28].
The effects of experiencing trauma on mental health and coping strategies also differ between adolescent men and women in ways that influence HIV risk pathways. For instance, PTEs experienced by South African women have been shown to increase internalized behaviours such as depression, anxiety and PTSD [23, 29], which synergistically contribute to increased risk for HIV and other sexually transmitted infections (STIs) [26, 30]. However, adolescent men are more likely to respond to PTEs with adverse externalized behaviours that introduce HIV risk, including delinquency, aggression and substance abuse [21]. This distinction in type of PTEs and behavioural responses demands gender-specific analysis, support, and response.
We measured the lifetime prevalence and correlates of PTEs overall, and by gender among adolescent men and women in Soweto, South Africa. This information is critical to inform youth-centred sexual and reproductive health and HIV prevention programming that considers the broader risk environments that youth navigate [31].

Methods

Study setting

We used cross-sectional survey data from adolescents (aged 14–19 years) enrolled in the Botsha Bophelo Adolescent Health Study (BBAHS) in Soweto, South Africa. Soweto is a large township southwest of Johannesburg with a population of approximately 1.3 million predominantly (98.5%) black inhabitants residing in informal and formal settlements [32]. While there are no population-level statistics on HIV prevalence among adolescents in Soweto, a recent study of 11,552 adolescents and young adults (14–25 years) residing in Soweto, reported that 4% of those who accessed HIV testing services at a local youth-centered clinic tested positive for HIV, including 2% of young men 4% of young women [33].
BBAHS was conducted at the Perinatal Health Research Unit (PHRU) and the Kganya Motsha Adolescent Centre (KMAC) in Soweto, South Africa. KMAC was opened in 2008 with a local mandate to address HIV and sexual and reproductive health priorities of adolescents (ages 14–19 years). Earlier pilot studies on adolescent health identified the urgent need for such youth-centred services, and informed the development and implementation of BBAHS [3336].

Study participants

Adolescents aged 14–19 years residing in Soweto were eligible to participate in BBAHS. Participants were recruited from across 41 townships to be representative of adolescents living in formal and informal communities within Soweto. Participant recruitment occurred around local malls, schools, neighbourhood hangouts, through peer-word-of-mouth, and staff outreach. We used a targeted stratified sampling and recruitment approach, based on geographic location, age, and gender. In order to reflect the gendered dimensions of HIV risk in South Africa, we aimed for a sample comprised of 60% young women and 40% young men. The research team approached interested adolescents for participation, and if eligible, were enrolled in the study. A total of 956 interviews were completed between March 2010 and March 2012. This amount of recruitment time was required to meet stratified sampling targets, and to ensure inclusion of youth from more remotely located townships with Soweto and harder-to-reach youth sub-populations. Of 956 completed interviews, n = 126 were excluded as they were determined to be outside of the targeted age criteria or had incomplete data, yielding a final sample of 830 adolescent participants. Additional information about the study procedures of the BBAHS can be found elsewhere [37].

Ethical considerations

Adolescents under 18 years signed an informed assent form and provided a signed informed consent form from a parent or legal guardian. Adolescents aged 18 or 19 signed an informed consent form. Age was verified using birth certificates or other identity documents.
Ethical approval for the study was granted by the ethics committees of the University of the Witwatersrand (Johannesburg, South Africa) and Simon Fraser University (Burnaby, Canada).

Data collection

An interviewer-administered, structured, online questionnaire was delivered to participants (supported by SurveyMonkeyTM software) via iPad or desktop computer. Interviewers received extensive training in good clinical practice guidelines, participant recruitment, administering questionnaires, and participant referral in cases where additional support was required after the study visit. Interviews were conducted in either English or isiZulu at the PHRU, the KMAC, or at a private location selected by the participant. Questionnaires took an average of 60 min to complete, and participants received 50 Rand (approximately 7 USD at the time) as compensation for their time and transportation costs. An international team of experts in adolescent health and HIV, including an adolescent Community Advisory Board (CAB), contributed to the development of the BBAHS questionnaire [37].

Measures

Primary outcome: trauma experience

Assessment of ‘trauma experience’ followed Norris’ [29] comprehensive definition of traumatic events as “any event that produces symptoms of traumatic stress” (23, p. 409). We measured PTEs using a modified version of the Traumatic Events Screening Inventory–Child (TESI-C) [29]. Unlike other trauma scales, the TESI-C scale was developed to be language appropriate for children and youth.
The TESI-C measures the history of trauma by asking about exposure (“yes” vs. “no”) to twenty PTEs including “injuries, hospitalizations, domestic violence, community violence, disasters, accidents, physical abuse and sexual abuse” [38]. Historically, this scale has been used in child and adolescent psychological screening [38]. For our study, the TESI-C items were modified to account for the social context and physical environment of adolescents in Soweto [38]. For example, TESI-C items regarding natural disasters, acts of war or terrorism, kidnapping and animal attacks were omitted. Similar to other South African studies examining the impact of traumatic experiences in adolescents, we added items regarding parents separating, parents arguing, changing schools, parents’ job security, family members with HIV/AIDS, family members dying of HIV/AIDS, discrimination, financial security, personal physical attack were added. The final adapted scale included a total of 19 items (study alpha = 0.63; Table 2). A comparison of items from the original TESI-C scale and the modified version used in this analysis is included in the Additional file 1.
We measured prevalence of experiencing a potentially traumatic event (i.e., a response of “Yes” to one or more of the 19 items included in the modified TESI-C scale) overall and by gender. We also assessed number of reported PTEs and calculated a PTE score (range = 0-19), with higher scores indicating higher PTE experience. Scores greater than the scale median were considered ‘high PTE score’ vs. ‘low PTE score’.

Explanatory factors

Socio-demographic characteristics
We assessed socio-demographic characteristics by gender (adolescent man vs. adolescent woman), age in years (continuous), ethnicity (Zulu, Xhosa, Sotho, Tswana or other), education (high school or greater vs. less than high school), and employment (student vs. unemployed vs. employed [full-time/part-time/self-employed]). Additional determinants of socio-economic status included length of time living in Soweto (<5 years vs. ≥5 years vs. since birth), housing type (brick house or flat owned by family vs. brick house or flat rented by family or other housing type vs. reconstructive development housing [RDP] or shack), food insecurity (low vs. medium vs. high, measured via a 9-item hunger and food security scale [39] [study Cronbach’s α = 0.81]), and receiving a household social grant in the past 12-months (yes vs. no; including disability, age pension, child support or other social grant), and history of incarceration (ever vs. never).
Depression
The 20-point Center for Epidemiologic Studies Depression (CES-D) Scale was utilized to measure probable depression (study Cronbach’s α = 0.81, range = 0-60, with higher scores indicating greater depressive symptoms) [40]. In the general population the American Psychological Association suggests using a cut off of 16 or higher to determine major depressive disorder [41]. We chose a higher cut off of ≥24 as this has been previously described as the best cut-off to determined ‘probable depression’ among adolescents [18, 42].
Sexual behaviour
History of sexual activity was defined by participant report of ever having had intercourse (yes vs. no), current sexual activity was defined as having had sex (vaginal or anal) in the 6 months prior to interview (yes vs. no) and, if yes, whether the participant had more than one sexual partner in the last 6 months (yes vs. no). Consistent condom use was assessed via self-reported lifetime use during anal and/or vaginal sex, as applicable, and frequency (always vs.vs sometimes vs. never) in the 6 months prior to interview (lifetime consistent condom use vs. any inconsistent or no condom use vs. never had sex). History of STI diagnosis and/or symptoms (ever vs. never), history of HIV testing (ever vs. never), and HIV status (HIV-positive vs. HIV-negative vs. unknown HIV status) was assessed via self-report.
Substance use
We assessed self-reported frequency of alcohol use in the 6 months prior to interview (once a month or more vs. less than once a month or never). We also assessed any use of illicit (e.g., heroin, cocaine, ecstasy) or licit drugs used in a manner other than which they are prescribed (e.g., prescription pills, antiretrovials/whoonga), excluding marijuana in the 6 months prior to interview (yes vs. no). Use of marijuana (yes vs. no) was assessed separately, given different patterns of use among youth [43, 44].

Statistical analysis

All analyses were conducted using SAS 9.4, stratified by self-identified gender. Descriptive statistics (median, 1st quartile [Q1] and 3rd quartile [Q3] for continuous variables and n, % for categorical variables) were used to characterize baseline distributions of study variables. Differences in baseline variables and trauma scores by gender were compared using Wilcoxon rank sum test for continuous variables and Pearson χ2 or Fisher’s exact test for categorical variables.
Univariable and multivariable logistic regression were used to identify variables associated with high PTE score, separately for adolescent men and women. Variables of interest with univariable p-values <0.20 were included in multivariable model selections. After testing for collinearity, only the sexual behaviour variable ‘inconsistent condom use (yes vs. no vs. never had sex)’ was considered for inclusion in the final model. For all other variables, model selections were performed using backward selection based on Type III p-values to reach the optimal (minimized) AIC. All statistical tests were considered statistically significant at α < 0.05.

Results

Baseline characteristics

Of 830 participants, 767 answered all 19 TESI-C items and were included in this analysis of whom 442 (58%) were adolescent women and 325 (42%) were adolescent men (Table 1). Median age was 17 years [Q1-Q3: 16-18], 45% were Zulu, 85% were currently enrolled in school, and 6% had ever been incarcerated. A majority had lived in Soweto since birth (77%), lived in brick house/flat owned by the family (71%), reported high food insecurity (52%), and lived in a household which had received a social grant in the last 12 months (57%).
Table 1
Baseline characteristics of participants (aged 14–19 years) overall and by gender (n = 767)
Baseline characteristics
Overall (n = 767)
Adolescent Men (n = 325)
Adolescent Women (n = 442)
p-value
 
n
%
n
%
n
%
 
Socio-demographic characteristics
Age at interview (years, median, Q1,Q3)
17
16,18
17
16,18
18
16,18
0.197
Years lived in Soweto
 < 5 years
71
9.4
27
8.4
44
10.0
0.347
 ≥ 5 years
106
14.0
51
15.9
55
12.5
 
 Since birth
582
76.7
242
75.6
340
77.5
 
 missing
8
 
5
 
3
  
Ethnicity
 Zulu
345
45.0
166
51.1
179
40.5
0.005
 Xhosa
92
12.0
39
12.0
53
12.0
 
 Sotho
124
16.2
40
12.3
84
19.0
 
 Tswana
85
11.1
26
8.0
59
13.4
 
 Other ethnicities
121
15.8
54
16.6
67
15.2
 
Education
 ≥ High school
9
1.2
7
2.2
2
0.5
0.041
 < High school
758
98.8
318
97.9
440
99.6
 
Employment
 Student
649
85.1
264
81.5
385
87.7
0.056
 Unemployed
85
11.1
44
13.6
41
9.3
 
 Employed
29
3.8
16
4.9
13
3.0
 
 Missing
<5
 
<5
 
<5
  
Housing
 Brick house/Flat owned by family
547
71.3
220
67.7
327
74.0
0.160
 Brick house/Flat rented by family/other
18
2.3
9
2.8
9
2.0
 
 RDP house/Shack
202
26.3
96
29.5
106
24.0
 
Food Insecurity
 Low
169
22.0
59
18.2
110
24.9
0.078
 Medium
203
26.5
88
27.1
115
26.0
 
 High
395
51.5
178
54.8
217
49.1
 
Household Social Grant in the last 12 months
 No
325
42.9
141
44.3
184
41.9
0.506
 Yes
432
57.1
177
55.7
255
58.1
 
 missing
10
 
7
 
3
  
Incarceration history
 No
646
93.8
258
91.2
388
95.6
0.019
 Yes
43
6.2
25
8.8
18
4.4
 
 Missing
78
 
42
 
36
  
Sexual behaviour and HIV variables
Ever had sex
 No
338
44.1
116
35.7
222
50.2
<.001
 Yes
429
55.9
209
64.3
220
49.8
 
Sexually Active in the past 6 months (L6M)a
 No
153
36.5
80
39.6
73
33.6
0.205
 Yes
266
63.1
122
60.4
144
66.4
 
 missing
10
 
7
 
3
  
Number of partners (among those reporting sexual activity in L6M)b
 1 partner
168
64.6
51
43.6
117
81.8
<.001
 ≥ 2 partner
92
35.4
66
56.4
26
18.2
 
 Missing
6
      
Condom usea
 Consistent condom use
189
46.3
93
47.2
96
45.5
0.729
 Inconsistent condom use
219
53.7
104
52.8
115
54.5
 
 missing
21
 
12
 
9
  
HIV testing history
 No
414
54.1
187
57.7
227
51.5
0.087
 Yes
351
45.9
137
42.3
214
48.5
 
HIV status (self-report)
 HIV-positive
11
1.4
5
1.5
6
1.4
0.187
 HIV-negative
329
42.9
127
39.1
202
45.7
 
 Unknown/never tested
427
55.7
193
59.4
234
52.9
 
STI or STI symptomologya
 No
332
77.4
173
82.8
159
72.3
<.001
 Yes
97
22.6
36
17.2
61
27.7
 
Substance use and mental health variables
Alcohol use in the last 6 months (L6M)
 No
267
34.99
104
32.1
163
37.1
0.150
 Yes
496
65.01
220
67.9
276
62.9
 
Drug use in L6M (excluding marijuana use)
 No
728
94.9
297
91.4
431
97.5
<.001
 Yes
39
5.1
28
8.6
11
2.5
 
Probable Depression
 No
510
66.5
229
70.5
281
63.6
0.046
 Yes (CES-D score ≥ 24)
257
33.5
96
29.5
161
36.4
 
Note: p-values in bold are significant (<.05)
Abbreviations: CES-D center for epidemiologic studies- depression scale, RDP reconstruction and development programme, STI sexually transmitted infection, HIV human immunodeficiency virus
aAmong those reporting sexual activity ever
bAmong those reporting sexual activity in the last 6 month
Overall, 56% of participants reported having ever had sex, including 64% of adolescent men and 50% of adolescent women (p < 0.001 for gender difference). Of those reporting sexual activity in the six months prior to the interview, 35% reported having more than one sexual partner in the previous 6 months (including 56% of adolescent men and 18% of adolescent women [p < 0.001]). Among those who had ever had sex, 54% reported inconsistent condom use (including 53% of adolescent men and 55% of adolescent women [p = 0.729]) and 23% reported ever having been diagnosed with an STI or experienced STI symptoms (including 17% of adolescent men and 28% of adolescent women [p = 0.009]). Overall, 1.4% reported being HIV-positive (1.5% of adolescent men and 1.4% of women, p = 0.19).
In the six months prior to interview, nearly two-thirds (65%) reported alcohol use and 5% reported using other drugs. One-third (34%) had probable depression, with higher rates among adolescent women than men (36% vs. 30%, p = 0.05).

Experience of potentially traumatic events (PTEs)

Nearly all participants (99.7%) reported experiencing at least 1 PTE. Median number of PTEs experienced was 7 [Q1-Q3: 5-9], with no significant difference by gender (p = 0.19). Overall, 47% of adolescent men and 45% of adolescent women experienced a high PTE score (≥7 events (p = 0.603)).
Table 2 shows the proportion of adolescents who reported experiencing each of the 19 PTE items included in the adapted TESI-C scale by gender. Nearly three-quarters (74%) of adolescent men and women reported experiencing the death of a family member or someone close to them. Over two-thirds (68%) had witnessed a close family member or friend deal with a serious illness or injury. Nearly half reported that their parents were separated or divorced (48%) or that their family struggled with money (46%). In general, adolescent men were more likely to have experienced or perpetuated violent forms of traumatic experiences (e.g. forcing someone to have sex with them [7%], deliberately inflicting harm on another [51%], witnessed an act of violence in the community [76%]). Adolescent women were more likely to experience psychological and emotional experiences of potentially traumatic events (e.g. having a family member have [46%] or die from [41%] HIV/AIDS).
Table 2
Prevalence of potentially trauma event (PTE) experiences among participants (14–19 years) overall and by gender (n = 767)
 
Overall (n = 767)
Adolescent Men (n = 325)
Adolescent Women (n = 442)
p-value
 
n
%
n
%
n
%
 
Experienced at least one PTE
765
99.7
325
100.0
440
99.6
0.511
High trauma score (≥7) (alpha = 0.63)
348
45.4
151
46.5
197
44.6
0.603
Separated from mom (e.g. lived with another relative or in foster care)
253
33.0
118
36.3
135
30.5
0.093
Parents separated
370
48.2
153
47.1
217
49.1
0.581
Parents argued frequently or more than usual
259
33.8
111
34.2
148
33.5
0.846
Changed schools (not because of graduation) or moved to a new home
245
31.9
123
37.9
122
27.6
0.003
Parent/guardian lost job
342
44.6
139
42.8
203
45.9
0.385
Lost home or had no home
65
8.5
38
11.7
27
6.1
0.006
Family member or someone close had HIV/AIDS
287
37.4
85
26.2
202
45.7
<0.001
Family member or someone close died of HIV/AIDS
273
35.6
91
28.0
182
41.2
0.001
Family member or someone close died
569
74.2
243
74.8
326
73.8
0.751
Family member or someone close was very sick or had a bad injury
524
68.3
230
70.8
294
66.5
0.211
Experienced race/ethnicity discrimination
183
23.9
77
23.7
106
24.0
0.926
Family struggled with money
355
46.3
147
45.2
208
47.1
0.616
Seen an act of violence towards someone else (not in family)
538
70.1
248
76.3
290
65.6
0.001
Experienced an act of violence by someone not in your family
316
41.2
147
45.2
169
38.2
0.052
Seen an act of violence in the family
324
42.2
136
41.9
188
42.5
0.849
Experienced an act of violence by someone in your family
240
31.3
107
32.9
133
30.1
0.403
Deliberately inflicted harm on another person
293
38.2
166
51.1
127
28.7
<0.001
Experienced forced Sex
98
12.8
35
10.8
63
14.3
0.153
Experienced forcing someone to have sex
30
3.9
24
7.4
6
1.4
<0.001
Note: p-values in bold are significant (>.05)
Overall, 14% of adolescent women and 11% of adolescent men reported experiencing forced sex (p = 0.153) while 1.4% and 7.4% reported ever forcing someone to have sex with them (p < 0.001).

Correlates of high PTE scores

In unadjusted models among adolescent men (see Table 3), high PTE score was associated with older age, living in Soweto for <5 years, self-reported Tswana ethnicity, high food insecurity, drug use in the past six months, sexual experience, and inconsistent condom use. In the adjusted model (see Table 3), adolescent men with high PTE scores had significantly higher adjusted odds of being older (aOR = 1.40/year, 95%CI = 1.21-1.63); recently moving to Soweto (<5 years) vs. living in Soweto ‘since birth’ (aOR = 2.78, 95%CI = 1.14-6.76); and high vs. low food insecurity (aOR = 2.63 95%CI = 1.36-5.09).
Table 3
Univariate and adjusted analysis of variables associated with high PTE scores among adolescent men (n = 325)
 
Low PTE score
High PTE score
p-value
High PTE score vs. Low PTE score
Variables
n
%
n
%
Wilcoxon/Chisq
OR
95% CI
 
AOR
95% CI
 
Socio-demographic characteristic
Age at interview (per year, median Q1,Q3)
17
15,18
18
16,18
<.001
1.37
1.19
1.59
1.40
1.21
1.63
Years lived in Soweto
 Since birth
133
76.9
109
74.2
0.059
Ref
  
Ref
  
 ≥ 5 years
31
17.9
20
13.6
 
0.79
0.42
1.46
0.75
0.39
1.43
 < 5 years
9
5.2
18
12.2
 
2.44
1.05
5.65
2.78
1.14
6.76
Ethnicity
 Zulu
99
56.9
67
44.4
0.174
Ref
     
 Xhosa
18
10.3
21
13.9
 
1.72
0.85
3.48
Not Selected
  
 Sotho
21
12.1
19
12.6
 
1.34
0.67
2.67
  
 Tswana
10
5.8
16
10.6
 
2.36
1.01
5.52
  
 Other ethnicities
26
14.9
28
18.5
 
1.59
0.86
2.95
  
Employment
 Student
147
85.0
117
77.5
0.193
Ref
     
 Unemployed
20
11.56
24
15.89
 
1.51
0.79
2.86
Not Selected
  
 Employed
6
3.5
10
6.6
 
2.09
0.74
5.93
  
Housing
 Brick house/Flat owned by family
123
70.7
97
64.2
0.414
Ref
     
 Brick house/Flat rented by family/Hostel/Other
5
2.9
4
2.7
 
1.01
0.27
3.88
   
 RDP house/Shack
46
26.44
50
33.11
 
1.38
0.85
2.23
   
Food Insecurity
 Low
39
22.4
20
13.3
0.026
Ref
  
Ref
  
 Medium
51
29.3
37
24.5
 
1.41
0.71
2.81
1.58
0.76
3.29
 High
84
48.3
94
62.3
 
2.18
1.18
4.03
2.63
1.36
5.09
Household Social Grant
 No
81
47.9
60
40.3
0.170
Ref
  
Not Selected
  
 Yes
88
52.1
89
59.7
 
1.37
0.87
2.13
  
Incarceration history
 No
148
92.5
110
89.4
0.367
Ref
     
 Yes
12
7.5
13
10.6
 
1.46
0.64
3.32
   
Sexual behaviour and HIV
HIV testing history
 No
99
57.2
88
58.3
0.848
Ref
     
 Yes
74
42.8
63
41.7
 
0.96
0.62
1.49
   
HIV Result
 Positive
3
1.7
2
1.3
0.940
Ref
     
 Negative
69
39.7
58
38.4
 
1.26
0.20
7.81
   
 Unknown/Never tested
102
58.6
91
60.3
 
1.34
0.22
8.19
   
Sex Ever
 No
77
44.3
39
25.8
0.001
Ref
  
Not includeda
  
 Yes
97
55.8
112
74.2
 
2.28
1.42
3.65
  
Ever STI
 No
85
48.9
88
58.3
0.001
Ref
  
Not includeda
  
 Yes
12
6.9
24
15.9
 
1.93
0.91
4.11
  
 Never had sex
77
44.3
39
25.8
 
0.49
0.30
0.80
  
Sexually Active P6M
 No
41
24.1
39
26.4
0.001
Ref
  
Not Includeda
  
 Yes
52
30.6
70
47.3
 
1.42
0.80
2.49
  
 Never had sex
77
45.3
39
26.4
 
0.53
0.30
0.95
  
Inconsistent condom use
 Never had sex
77
45.8
39
26.9
0.002
Ref
  
Not Selected
  
 No
44
26.2
49
33.8
 
2.20
1.26
3.85
  
 Yes
47
28.0
57
39.3
 
2.39
1.39
4.13
  
More than 1 partner in the L6M
 No
23
13.6
28
19.4
0.016
Ref
  
Not Includeda
  
 Yes
28
16.6
38
26.4
 
1.11
0.53
2.33
  
 Never had sex/Sexually inactive
118
69.8
78
54.2
 
0.54
0.29
1.01
  
Substance use and mental health variables
Alcohol use in L6M
 No
63
36.4
41
27.2
0.075
1.09
0.47
2.52
   
 Yes
110
63.6
110
72.9
 
0.65
0.28
1.51
   
Probable Depression
 No
129
74.1
100
66.2
0.119
Ref
  
Not Selected
  
 Yes (score ≥ 24)
45
25.9
51
33.8
 
1.54
0.96
2.47
  
Drug use ever in L6M (excluding marijuana use)
 No
165
94.8
132
87.4
0.018
Ref
  
Not Selected
  
 Yes
9
5.2
19
12.6
 
2.64
1.16
6.02
  
Note: AORs and p-values in bold are significant (<.05)
Abbreviations: CI confidence intervals, OR odds ratio, AOR adjusted odds ratio, CES-D center for epidemiologic studies- depression scale, RDP reconstruction and development programme, STI, sexually transmitted infection, HIV human immunodeficiency virus
aNot included due to Collinearity
In the unadjusted models among adolescent women (see Table 4), high PTE score was associated with, high food insecurity, incarceration history, received a household social grant in the last year, probable depression, sexual experience and inconsistent condom use. In the adjusted model (see Table 4), adolescent women with high PTE scores had significantly higher adjusted odds of high food insecurity (aOR = 2.57, 95%CI = 1.55-4.26); probable depression (aOR = 2.00, 95%CI = 1.31-3.03); and inconsistent condom use vs. no sexual experience (aOR = 2.69, 95%CI = 1.66-4.37).
Table 4
Univariate and adjusted analysis of variables associated with high PTE scores among adolescent women (n = 442)
 
Low PTE score
High PTE score
p-value
High PTE score vs. Low PTE score
Variables
n
%
n
%
Wilcoxon/Chisq
OR
95% CI
 
AOR
95% CI
Socio-demographic characteristics
Age
17
16,18
18
16,18
0.182
1.10
0.97
1.24
Not Selected
Years lived in Soweto
 < 5 years
22
9.0
22
11.3
0.511
Ref
     
 ≥ 5 years
28
11.5
27
13.9
 
0.96
0.44
2.13
   
 Since birth
194
79.5
146
74.9
 
0.75
0.40
1.41
   
Ethnicity
 Zulu
104
42.5
75
38.1
0.764
Ref
     
 Xhosa
29
11.8
24
12.2
 
1.15
0.62
2.13
   
 Sotho
48
19.6
36
18.3
 
1.04
0.62
1.76
   
 Tswana
29
11.8
30
15.2
 
1.43
0.79
2.59
   
 Other
35
14.3
32
16.2
 
1.27
0.72
2.23
   
Employment
 Student
217
89.7
168
85.3
0.379
Ref
     
 Unemployed
19
7.85
22
11.17
 
1.50
0.78
2.85
   
 Employed
6
2.5
7
3.6
 
1.51
0.50
4.57
   
Housing
 House owned by family
184
75.1
143
72.6
0.577
Ref
     
 House rented by family/Other
6
2.5
3
1.5
 
0.64
0.16
2.62
   
 RDP house/Shack
55
22.45
51
25.89
 
1.19
0.77
1.85
   
Food Insecurity
 Low
77
31.4
33
16.8
<.001
Ref
  
Ref
  
 Medium
71
29.0
44
22.3
 
1.45
0.83
2.52
1.49
0.84
2.65
 High
97
39.6
120
60.9
 
2.89
1.77
4.70
2.57
1.55
4.26
Household ever Received Social Grant
 No
112
46.1
72
36.7
0.048
Ref
  
Not Selected
  
 Yes
131
53.9
124
63.3
 
1.47
1.00
2.16
  
Sexual behaviour and HIV variables
HIV testing history
 No
139
57.0
88
44.7
0.010
Ref
  
Not Selected
  
 Yes
105
43.0
109
55.3
 
1.64
1.12
2.39
  
HIV Result
 Positive
3
1.2
3
1.5
0.131
Ref
     
 Negative
102
41.6
100
50.8
 
0.98
0.19
4.97
   
 Unknown
140
57.1
94
47.7
 
0.67
0.13
3.40
   
Sex Ever
 No
142
58.0
80
40.6
<.001
Ref
  
Not included*
  
 Yes
103
42.0
117
59.4
 
2.02
1.38
2.95
  
STI or STI symptomology
 No
80
32.7
79
40.1
<.001
Ref
     
 Yes
23
9.4
38
19.3
 
1.67
0.91
3.06
   
 Never had sex
142
58.0
80
40.6
 
0.57
0.38
0.86
   
Sexually Active L6M
 No
41
16.9
32
16.3
<.001
Ref
     
 Yes
60
24.7
84
42.9
 
1.79
1.02
3.17
   
 Never had sex
142
58.4
80
40.8
 
0.72
0.42
1.24
   
Inconsistent condom use
 Never had sex
142
59.7
80
41.0
<.001
Ref
  
Ref
  
 No
52
21.9
44
22.6
 
1.50
0.92
2.44
1.59
0.96
2.63
 Yes
44
18.5
71
36.4
 
2.86
1.80
4.56
2.69
1.66
4.37
More than 1 partner in L6M
 No
49
20.2
68
34.9
<.001
Ref
  
Not included*
  
 Yes
11
4.5
15
7.7
 
0.98
0.42
2.32
  
 Never had sex/Sexually inactive
183
75.3
112
57.4
 
0.44
0.29
0.68
  
Substance use and mental health variables
Alcohol Use in the L6M
 No
102
42.0
61
31.1
0.019
Ref
  
Not Selected
  
 Yes
141
58.0
135
68.9
 
1.60
1.08
2.38
   
Probable Depression
 No
176
71.8
105
53.3
<.001
Ref
  
Ref
  
 Yes (score ≥ 24)
69
28.2
92
46.7
 
2.23
1.51
3.32
2.00
1.31
3.03
Incarceration history
 No
226
97.4
162
93.1
0.037
Ref
  
Not Selected
  
 Yes
6
2.6
12
6.9
 
2.79
1.03
7.59
  
Drug use ever in L6M (excluding marijuana use)
 No
239
97.6
192
97.5
0.952
Ref
     
 Yes
6
2.5
5
2.5
 
1.04
0.31
3.45
   
Note: AORs in bold are significant (<.05)
Abbreviations: CI confidence intervals; OR odds ratio, AOR adjusted odds ratio, CES-D center for epidemiologic studies- depression scale, RDP reconstruction and development programme, STI sexually transmitted infection, HIV human immunodeficiency virus
*Not included due to Collinearity

Discussion

Similar to other South African and African studies [8, 45], we found that adolescents in our study experienced high levels of PTEs. Nearly all participants experienced at least one PTE (99.7%) and had experienced on average 7 PTEs at the time of their interview with no differences by gender. A study of U.S adolescents (aged 13–17) found that 61.8% had lifetime PTE experience [46], compared with 99.7% of adolescents within our study. Among both adolescent men and women, increased exposure to PTE was associated with high levels of food insecurity. This finding has implications for sexual and reproductive health (SRH) outcomes and overall well-being for South African adolescent men and women faced with syndemic risks including high levels of community-level violence and sexual victimization [21]. In addition, our findings suggest no difference in the prevalence of PTEs between adolescent men and women, rather differences in the types of traumatic occurrences. Despite no significant differences in PTE prevalence by gender, we pursued a gender stratified analysis to enable examination of differential correlates of experiencing multiple PTEs. These findings highlight a need for future research to explore the differential potential gendered impacts of PTEs experienced among adolescents.
Consistent with previous literature, we found that PTE exposure and the effects are distributed along social and gendered axes. For example, a number of studies globally have found that young women are more likely to experience sexual assault while men are more likely to experience physical assault [29, 31, 45].

Adolescent women

Our results align with previous research indicating that co-occuring multiple PTEs experienced by women influence heightened depression symptomology [8], and compound syndemic risks of HIV transmission through increased HIV risk behaviour such as inconsistent condom use [10, 30]. The synergistic effect of multiple experiences of PTEs and increased HIV acquisition risk may be exacerbated among women living in vulnerable urban environments, such as Soweto, facing economic hardships and high levels of food insecurity [23, 30]. These compounding experiences of structural vulnerability influence economic dependence - placing women in inferior roles in their relationships - in turn increasing experiences of gender-based violence, inability to negotiate condom use, and ultimately HIV transmission risk [3, 23].

Adolescent men

Our results indicate that high-PTE scores were more commonly found among older adolescent men who have recently moved to Soweto, and who face high levels of food insecurity. Experiences of trauma can accumulate over the lifecourse, [47], as such older age was a hypothesized finding for higher number of PTEs among men in our study. The exposure to multiple experiences of PTEs at a young age have been found to perpetuate aggressive behaviour and negative views towards women in adulthood [48, 49]. The development of negative views towards women may perpetuate harmful gender norms and inequitable power dynamics in relationships, which has shown to have significant implications for the HIV epidemic in South Africa [24, 5052]. Furthermore, young men living in South Africa face extremely high rates of interpersonal violence. A study assessing hospital data on injuries within the Mthatha Hospital Complex in South Africa, found that the majority of injuries occurred among men, with 60% of all cases being for acts of interpersonal violence [27]. Despite extremely high levels of PTEs within men participating in our study, we found that this was not significantly associated with increased depression symptomology or inconsistent condom use. Previous research has explored the relationship between high levels of trauma and post-traumatic growth [53]. Resilience to HIV risk among adolescent men living in HIV hyper-endemic nations experiencing concurrent poverty and high-levels of PTEs should be further explored.

Intervention implications

Reducing syndemic risks to traumatic experiences in both adolescent men and women is likely to have a positive impact on HIV transmission through multiple pathways. The scale-up of community and structural level interventions, as well as increased focus on trauma-informed models of care for adolescents in South Africa is critical for addressing the HIV epidemic [21, 54]. For adolescent women, intervention strategies aimed at increasing economic independence, reducing gender-based violence, reducing inequities in relationship power and control, and challenging gender norms, are critical to increase sustained and widespread uptake of HIV prevention options, including male and female condoms and, in more recent years, pre-exposure prophylaxis (PrEP), [48, 5557]. Among adolescent women, high rates of sexual violence and inequities in relationship power [50, 58, 59] intersect to compromise opportunities to negotiate condom use [30, 6062]. Given demonstrated links between trauma, poor mental health, and sexual behaviours, mediated through pathways of gender and power inequity, central to the efforts to reduce HIV incidence among adolescent women is a clear need to scale-up access to youth-centred, trauma-informed, and women-controlled HIV prevention strategies, inclusive of PrEP [4].
Trauma-focused cognitive behavioural therapy (TF-CBT) has been shown to be highly beneficial in reducing sexual health risk. Hien and colleagues [63] implemented a skill-based TF-CBT program focusing on various domains including: personal self-management, coping, communication, boundary setting, HIV risk reduction and reducing unsafe behaviour in general. Women in the trauma-focused intervention were almost half as likely to report unprotected sex compared to women in the control group [63]. Given the high number of PTEs experienced by young people in South Africa, it is imperative to scale-up such trauma-informed mental health services for adolescents [21].
Community-level interventions addressing harmful gender norms, such as Stepping Stones, have been successful at reducing the perpetuation of intimate partner violence, a significant step forward in reducing HIV transmission and experiences of trauma for adolescent women [48]. For both adolescent men and women, interventions aimed at addressing food insecurities may help to mediate the compounding affects of PTEs on HIV transmission within vulnerable urban environments such as Soweto. This relationship merits further examination. Future interventions should consider the importance of resilience and post-traumatic growth within settings where experiences of traumatic events and HIV risk are extremely high [64].

Strengths & limitations

In conducting a gender-stratified analysis of PTE occurrence, we demonstrated the multitude of implications that PTEs have on both SRH programs and HIV intervention — informing a gendered approach to addressing PTE and HIV risk. However, we did not include measurements within our survey to assess PTSD symptomology which is a known outcome of experiencing trauma [8, 10, 21], thus we acknowledge this is a limitation of our study which should be further examined within future South African adolescent health studies. Further, we are unable to assess causation within this cross-sectional study. Additional limitations include recall and social desirability bias due to self-reported measures of sexual behaviour and other sensitive topics. In addition, we used a modified variation of the TESI-C; therefore, caution should be used in comparing these findings with other studies using the original version of the TESI-C and other scales similarly measuring experiences of trauma.

Conclusion

Being an adolescent in Soweto, South Africa poses many challenges: we found a high prevalence of PTEs along with associations highlighting risk for HIV acquisition, particularly for adolescent women. Adolescence is a dynamic and transitional time of the lifecourse, marked by rapid and multiple developmental changes that, through biology and socialization, are distinctly gendered [5, 65, 66]. Enabling and fostering the pathway towards health provides adolescent men and women with a set of meaningful skills and coping mechanisms that they can carry into adulthood [5, 21]. Focusing on preventing multiple co-occurring risks and promoting increased access to mental health services for adolescent men and women facing high exposures to PTEs can begin to address the syndemic of HIV and trauma which pose significant threats to HIV-acquisition, population health and development for South Africa [10].

Acknowledgement

The Botsha Bophelo Adolescent Health Study (BBAHS) Research Team would like to thank our participants and our research team members for all their contributions to this study.

Funding

BBAHS was funded by the Canadian Institutes of Health Research (CIHR), Institute for Human Development, Child and Youth Health (230513). Initial seed funding was provided by Simon Fraser University through a President Research Award to CLM. NJL is supported by a CANFAR/CTN Postdoctoral Fellowship Award. AK received salary support from the Canada Research Chair program in Global Perspectives on HIV and Sexual and Reproductive Health. The PHRU was supported through a grant by the South African Medical Research Council. The authors have no conflict of interest to declare regarding the publication of this manuscript.

Availability of data and materials

For access to the study data, please contact Dr. Cari Miller (Cari.Miller@sfu.ca), Principal Investigator of the Botsha Bophelo Adolescent Health Study.

Authors’ contributions

CLM, JD, BN, GG, RSH and AK designed the study. JD, BN, and GG implemented the study. RSH and CLM had full access to the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. JC undertook the data analysis and ZC conducted the statistical analysis. KC, AM and AK interpreted the data and wrote the first draft of the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.
This manuscript does not contain any identifying individual participant data, and thus consent for publication from participants in not applicable for this analysis.
Ethical approval for the study was granted by the ethics committees of the University of the Witwatersrand (Johannesburg, South Africa) [M090449] and Simon Fraser University (Burnaby, Canada) [#2009 s0196]. Adolescents under 18 years signed an informed assent form and provided a signed informed consent form from a parent or legal guardian. Adolescents aged 18 or 19 signed an informed consent form.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
Prevalence, type, and correlates of trauma exposure among adolescent men and women in Soweto, South Africa: implications for HIV prevention
verfasst von
Kalysha Closson
Janan Janine Dietrich
Busi Nkala
Addy Musuku
Zishan Cui
Jason Chia
Glenda Gray
Nathan J. Lachowsky
Robert S. Hogg
Cari L. Miller
Angela Kaida
Publikationsdatum
01.12.2016
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2016
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3832-0

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