Services on Demand
Article
Indicators
Related links
- Cited by Google
- Similars in Google
Share
South African Journal of Psychiatry
On-line version ISSN 2078-6786
Print version ISSN 1608-9685
S. Afr. j. psyc. vol.30 n.1 Pretoria 2024
http://dx.doi.org/10.4102/sajpsychiatry.v30i0.2108
ORIGINAL RESEARCH
Adverse childhood experiences, mental illness, HIV and offending among female inmates in Durban, South Africa
Samantha NaidooI; Saeeda ParukII; Liezel FerreiraI; Ugasvaree SubramaneyI
IDepartment of Psychiatry, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
IIDiscipline of Psychiatry, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
ABSTRACT
BACKGROUND: Childhood adversities and adult trauma are common among female inmates. Associations have been documented with childhood adversities and mental illness, personality disorders, human immunodeficiency virus (HIV) and violent offending. However, no such study had been conducted in South Africa (SA), despite the high prevalence of HIV and trauma in SA.
AIM: To measure the prevalence of childhood adversities and adult trauma; and to determine if there is a relationship between childhood adversities, mental illness, personality disorders, HIV and violent offending among female inmates.
SETTING: The study was conducted at the largest correctional centre in Durban, KwaZulu-Natal, South Africa.
METHODS: This cross-sectional, descriptive study randomly recruited 126 female inmates. The World Health Organization's Adverse Childhood Experiences- International Questionnaire (WHO ACE-IQ) was used to measure childhood adversities; the Structured Clinical Interview for the Diagnostics and Statistical Manual-5 Research Version (SCID 5-RV) was used to diagnose mental illness; and a structured questionnaire was used to measure adult trauma. Human immunodeficiency virus data was confirmed from prison medical records
RESULTS: Elevated rates of individual childhood adversities and adult trauma were found. Associations were found between cumulative childhood adversities and post-traumatic stress disorder (PTSD), alcohol use disorder, substance use disorder, borderline personality disorder, and HIV.
CONCLUSION: Female inmates are a highly traumatised population. Prison mental health services should provide trauma-informed and trauma-focussed care to improve inmates' mental health outcomes and decrease recidivism.
CONTRIBUTION: This study contributes to the emerging literature on adverse childhood experiences (ACEs) and their associations among incarcerated female populations, in a low- and middle-income, South African setting.
Keywords: adverse childhood experiences; mental illness; violent offending; HIV; female inmates; South Africa.
Introduction
Early childhood is a critical period of development, with rapid physiological, psychological, and cognitive changes.1 Trauma in early childhood can result in lifelong impairments in health.2 Stressful experiences during this period can result in alterations in brain structure and function, and may have a detrimental effect on the brain's reactivity to stress.3,4 Adverse childhood experiences (ACEs) are defined as 'traumatic occurrences before the age of 18 years that are experienced as physically or emotionally harmful or threatening'.5 They include maltreatment, neglect, household dysfunction and environmental influences, such as living with a household member who abuses substances, or witnessing violence towards a household member.6
Adverse childhood experiences and mental illnesses in the general and prison populations
Literature suggests an association between ACEs and mental health outcomes.7
The ACE study, which was a seminal study in the United States of America (US) during the 1990s, resulted in the Centres for Disease Control and Prevention (CDC) and Kaiser Permanente developing the 10-item ACE scale.8 Using this scale, they found a high prevalence of ACEs in the general population and a dose-response relationship between childhood adversity and health risk behaviours, which may ultimately contribute to morbidity and mortality.7 In the ACE study, 52% of the sample had one or more ACEs, while 6.2% had four or more ACEs.7
The prevalence of ACEs differs from one country to another, but high prevalence rates have been found globally. While studies on ACEs are limited in low- and middle-income countries (LMICs) compared to high income countries (HICs),9 there is still substantive literature on ACEs in LMICs.10,11 One of the limited studies in the South African general population found higher rates of adversities in the general population compared to HICs on a 13-item modified CDC-Kaiser Permanente ACE scale.12
One population at increased risk of having experienced ACEs, is prisoners.13,14 It has consistently been documented that many prisoners have experienced multiple types of trauma during childhood and adulthood.15,16 A systematic review examining ACEs and subsequent psychopathology in prisoners, with studies predominantly from the US and Europe, confirmed an association between childhood adverse events and adult psychiatric disorders.17 However, it did not contain any studies from low-income countries and specifically, none from Africa. Studies of ACEs and their association with mental health and offending in African and South African offenders have supported the finding that women's pathways to offending are associated with prior sexual and physical victimisation, adverse life events, substance abuse, and mental health problems.18,19,20,21,22 Adverse childhood experiences are also associated with recidivism;23 hence, identification of, and intervention efforts directed at management of ACEs, are crucial.
Adverse childhood experiences and violent offending
According to Widom's 'cycle of violence theory' violent victimisation, particularly physical abuse inflicted upon children by their carers or parents, increases the risk of later violent behaviour.24 In addition, children who suffer neglect are also more likely to develop subsequent violent criminal behaviour.24 The ACE study revealed the cumulative negative impact of ACEs on health in adulthood, as well as an elevated likelihood for the perpetration of aggressive acts with cumulative ACEs.25
Adverse childhood experiences are indeed linked to violent offending in both genders. However, violent offending particularly interpersonal violence in females has been linked to defensive reactions related to chronic past abuse, both in South Africa26 and internationally.27
A meta-analysis investigating the cycle of violence after exposure to childhood maltreatment among women, in the general and prison populations, found a significant, albeit small, positive association between ACEs and a wide array of violent behaviours.28 A Swiss study comparing male and female violent offenders, reported that violent female offenders were more likely to have experienced ACEs, such as sexual trauma, as opposed to male offenders.29 A prospective study in the US reported that females with a history of any childhood abuse or neglect were at significantly higher risk of arrest for violence compared to the control group.30 Hence, there is a significant body of literature demonstrating a link between ACEs and violent offending among female inmates.
Adverse childhood experiences and human immunodeficiency virus
Human immunodeficiency virus remains a major public health burden; hence, understanding the role of risk factors such as ACEs is essential.31 Adverse childhood experiences are increasingly being recognised as risk factors for human immunodeficiency virus (HIV) and HIV-related diseases,31 and are prevalent among people living with HIV and AIDS (PLWHA).32 Adverse childhood experiences contribute to risky behaviours such as hazardous drinking, illicit drug use, risky sexual behaviours, and they increase the likelihood of being a victim of intimate partner violence later in life.33,34,35,36,37,38,39 South Africa (SA) has the largest HIV epidemic in the world.40 KwaZulu-Natal (KZN) has the second highest population in the country and carries the highest burden of HIV, with women being disproportionately affected.40 The first phase of the larger study in which we measured the prevalence of mental illness, borderline personality disorder (BPD) and antisocial personality disorder (ASPD) using the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders 5th edition-Research Version (SCID 5-RV), and the prevalence of HIV using prison medical records, reported a 64.3% prevalence of HIV among the female inmates at a correctional centre in KZN.41 Therefore, it would be important to determine the prevalence of ACEs in this HIV-dense female inmate population.
The literature suggests complex associations between ACEs, mental health pathology, and HIV, but most of the data are from high-income settings and predominantly male offender populations.42 Female offenders are a highly vulnerable population who are often living with the dual burden of HIV and mental illness, but have received limited attention.43 Hence, there is a need to better understand the prevalence and type of adverse childhood experiences and their associations with later mental illness, personality disorders, violent offending and HIV among female inmates in a LMIC setting. This will help us formulate more appropriate prevention and treatment interventions for LMIC settings.
To date, there is no quantitative literature on childhood adversities and its associations in female inmate populations in SA. Hence, this study aims to fill this gap by describing the prevalence of lifetime trauma (including ACEs), and investigating relationships between cumulative childhood adversities and mental illness, personality disorders, violent offending and HIV, among female inmates in a LMIC, HIV-dense, South African setting. This study was conducted in Durban, KZN, as it is a largely under-researched area geographically.
Research methods and design
Study design
This was a cross-sectional, descriptive study among female inmates. The findings reported here form part of the first phase of a two-phased, mixed methods, sequential explanatory design study which was conducted at a correctional centre in Durban, KZN, SA. Phase one of the study measured the prevalence of mental illness, BPD and ASPD using the SCID 5-RV.44 The prevalence of childhood and adult trauma was also measured. Human immunodeficiency virus data was confirmed using prison medical records. The nature of the charge (violent or non-violent) was obtained from correctional services records. This manuscript reports on the trauma component of the first-phase findings.
Study population and sampling
This study was conducted at the largest correctional centre in Durban, KZN. Male and female inmates are accommodated at this correctional centre; the majority of whom are black and isiZulu speaking.
A sample size of 126 was calculated by the statistician to be an adequate sample size. The first author informed and invited all 349 female inmates to participate in the study before the study commenced. A random sample of 126 was then drawn from all the women who had agreed to participate. This included 96 sentenced offenders (SOs) and 30 remand detainees (RDs). To be eligible for phase one, participants had to be 18 years of age or older, be able to provide written informed consent, and be either English or isiZulu speaking. Those who lacked capacity to provide informed consent were excluded.
Data collection
Data were collected from August 2019 to November 2019. The first author, who is a forensic psychiatrist, interviewed all the participants. An English-isiZulu translator was employed to assist with participants who were not fluent in English, who accounted for a minority of the total sample. The same research assistant was used to interview all participants who required translation from isiZulu to English and vice versa. She is a qualified social worker with previous research experience in psychiatry, as well as a research training qualification from the National Research Foundation. Her first language is isiZulu. During interviews with participants who were not fluent in English, questions were asked in English by the first author; they were then translated by the research assistant into isiZulu. Answers were given by the participants in isiZulu and then translated back into English to the first author for documenting. The research assistant was instructed not to interpret answers but to provide translation verbatim.
Instruments
Socio-demographic, clinical and forensic questionnaire: A socio-demographic, clinical and forensic questionnaire, based on a review of the literature, was administered by the first author in English and isiZulu, with the aid of a translator. The clinical component contained questions about, inter alia, HIV status, physical, sexual and emotional abuse experienced in adulthood (after age 18). Details regarding the types of physical injuries sustained and medical intervention sought were also documented.
World Health Organization Adverse Childhood Experiences-International Questionnaire (WHO ACE-IQ)
The WHO ACE-IQ was used to measure childhood adverse experiences.45 It has been used in a previous study on females in KZN, SA,10 and it has been validated in a Nigerian prison population.46 The Nigerian study found that the ACE-IQ and Child Trauma Questionnaire (CTQ) had concurrent validity, and that the ACE-IQ is a reliable and valid index of adverse childhood experiences in the prison population.46 The ACE-IQ measures 13 categories of childhood adverse experiences, which are listed in Table 1.
There are two scoring systems: the binary and frequency versions. The binary version is a 'yes' or 'no' rating system that measures the presence or absence of each adversity, while the frequency version is a measure of the severity of each adversity. Both scales are scored out of 13. The two categories of community violence and collective violence (which are not included in the 10 item CDC- Kaiser Permanente ACE scale) are particularly relevant for LMICs like SA, where these experiences may be more prevalent.47 Bullying and parental death are additional adverse events which are included in the WHO ACE-IQ, but are not part of the original CDC-Kaiser Permanente ACE scale.
The main outcome measures were mental illness, ASPD, BPD, HIV infection, and offending behaviour (either violent or non-violent).
Data collation
The first author captured the data online using Research Electronic Data Capture (REDCap) which is a browser-based, meta-data-driven electronic data capture software solution and workflow methodology for designing clinical and translational research databases.48,49
Data analysis
International Business Machines Statistical Package for the Social Sciences (SPSS IBM-International Business Machines, Armonk, New York, United States) version 26 was used to analyse the data. Frequency tables with percentages, as well as graphs were used to describe categorical variables. Logistic regression models were used to estimate the odds ratio (OR) and 95% confidence interval (CI) associated with the odds of being exposed to ACE scores ≥4 compared to ACE scores <4 for each mental illness, ASPD, BPD, violent offending and HIV (p < 0.05).
The literature suggests that exposure to cumulative ACEs is more significant than exposure to a single ACE.50 Felitti and colleagues reported that individuals who had experienced four or more categories of childhood exposure, compared to those who had no exposure, had a 4- to 12-fold increased risk for alcoholism, drug abuse, depression, and suicide attempt; a 2- to 4-fold increase in smoking, poor self-rated health, ≥50 sexual intercourse partners, and sexually transmitted diseases; and a 1.4- to 1.6-fold increase in physical inactivity and severe obesity.50 Other studies have also used 4 as a cut-off; hence, we elected to use this cut-off to facilitate comparison with the literature.50 However, the caveat being that our study used the WHO ACE-IQ (13 item scale) while the other studies used the CDC-ACE scale (10-item scale). Hence, direct comparison may not be possible.
Ethical considerations
Prisoners are considered a vulnerable population. Hence, strict ethical principles were adhered to throughout the study. Approval for the study was obtained from the University of the Witwatersrand Human Research Ethics Committee (certificate number M181026) and from the Department of Correctional Services (DCS). All participants consented in writing after being fully informed. Informed consent was also obtained to gain access to participants' prison medical records to confirm their HIV status. A distress protocol was in place if needed. Participants who required urgent intervention after the interview were referred, with their consent, to the prison doctor or psychologist as deemed necessary. The first author emphasised to participants that she was an independent researcher not affiliated with the DCS and that the DCS would not have access to the data. They were also informed that participation in the study would not affect their criminal proceedings. Participants were also informed that the data collected would remain confidential and their anonymity would be ensured. Data were electronically captured using unique participant identification numbers, were stored (password protected) and were only accessible by the first author. Participants were also made aware that they could withdraw from the study at any stage if they so wished, without affecting their care at DCS. A hygiene pack (consisting of basic sanitary items) to the value of R60 was given to each participant for their time.
Results
The socio-demographic, forensic profile and mental illnesses of the 126 participants have been published elsewhere.41
Prevalence of individual adverse childhood experiences
Table 1 summarises the prevalence of ACE scores reported by the participants using the binary and frequency versions.
The three most common adverse experiences on both the binary and frequency versions were: physical abuse, emotional abuse and witnessing a household member treated violently. Experiencing sexual abuse, community violence, collective violence, and living with a substance-abusing household member were also prevalent. While 77% (n = 98) of the participants had more than six ACEs on the binary version, and 61.1% (n = 77) had more than six ACEs on the frequency version. Notably, 38.9% (n = 49) and 32.5% (n = 41) had experienced both physical and sexual abuse on the binary version and frequency version, respectively.
Prevalence of cumulative adverse childhood experiences
Figure 1 indicates the frequency of the cumulative number of ACEs experienced by participants using the binary and frequency versions of the WHO ACE-IQ. The main finding is that 100% of participants reported experiencing at least one ACE using the binary version (which measures the presence of ACEs). Over 97% of participants reported experiencing ACEs using the frequency version (which measures the severity of the ACEs experienced). The most frequent cumulative number of ACEs experienced were 8 and 6, using both the binary and frequency versions. Over 93% (n = 118) reported four or more ACEs with the binary version and 80.2% (n = 101) with the frequency version.
Association between cumulative adverse childhood experiences, mental illnesses, personality disorders and human immunodeficiency virus
Table 2 shows the unadjusted OR of having a The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, (DSM-5) disorder or HIV infection for ACE ≥4 versus ACE <4 using both binary and frequency versions.
Adjusted models were adjusted for age, education, income and population group.
Calculations could not be computed for bipolar disorder because there were zero instances of those with an ACE score <4 having bipolar disorder, as well as only one participant having bipolar disorder in the total sample.
There were insufficient cases with scores <4 (n = 8) for ACEs on the binary version to reliably report and association. However, several associations emerged from the cumulative ACE scores on the frequency version. On the frequency version, those with ACE scores ≥4 were 6.28 times more likely to have PTSD; 6.8 times more likely to have an alcohol use disorders (AUD); 3.8 times more likely to have a substance use disorders (SUD); 3.17 times more likely to have a BPD; and 5.54 times more likely to have HIV infection than those with ACE scores <4. Adjusting the ORs (on the frequency version) for age, race, income and level of education did not change the conclusions from the unadjusted values; however, in many instances, it inflated the OR and resulted in wider CIs.
Association between adverse childhood experiences and violent offending
There were no significant associations between cumulative ACE scores and violent offending using logistic regression models on the binary and frequency versions. Those with an ACE score ≥4 on the binary version were 1.62 times (95% CI 0.37-6.81) more likely than those with ACE score <4 to have committed a violent crime, but the CIs overlapped with 1 thus, the risk was not significantly higher. Notably, there were only eight participants with an ACE score <4 on the binary version. Adverse childhood experiences scores ≥4 on the frequency version also did not confer higher odds of committing a violent crime, OR 0.86 (CI 0.35 to -2.13). In those with ACE scores <4 on the frequency version, 64% (n = 16/25) committed violent crimes, while in the group with ACE scores ≥4, 60% (n = 61/101) committed violent crimes.
Prevalence of adult physical, sexual and emotional abuse
Overall, 70.6% (n = 89) reported physical abuse; 20.6% (n = 26) reported sexual assault or rape; and 80.2% (n = 101) reported being emotionally abused as adults. Sixty-one per cent (n = 78) of participants sustained soft tissue injuries from interpersonal violence as adults; 11.9% (n = 15) fractures; 23.0% (n = 29) stab wounds; and 1.6% (n = 2) gunshot wounds. Forty-one per cent (n = 52) of participants reported seeking medical attention for injuries they had sustained from interpersonal violence as an adult.
Discussion
Key findings of this study were the high prevalence of ACEs on both the binary and frequency versions, thus confirming not just the presence of adversities, but also their severity. There were also significant associations between cumulative ACEs (using the frequency version) and PTSD, AUD, SUD, BPD and HIV infection among female inmates in Durban, South Africa.
Jewkes and colleagues, although they did not use the full description of ACEs in their study, reported that 54.7% of rural South African women experienced emotional abuse; while 41.6% experienced emotional neglect; and 39.1% experienced sexual abuse before the age of 18.51 Manyema and Richter's study in the South African general population (the Soweto Birth to Twenty Plus cohort) found lower rates of ACEs among women compared to our study.12 The most common ACEs reported in their study were parental divorce or separation (46%), emotional abuse (30%), and emotional neglect (31%). Two items included in their study, in addition to the CDC-Kaiser Permanente ACE scale, were household chronic illness and unemployment, which are relevant to the LMIC South African context, and measured 27% and 41%, respectively. In their study, 88% reported at least one ACE while 34% of women had four or more ACEs12 whereas in our study, 100% reported at least one ACE on the binary version (97.6% on the frequency version) and 93.7% reported four or more ACEs with the binary version (80.2% with the frequency version). This illustrates that the female incarcerated population in SA is afflicted with a heavier burden, both in terms of the number and severity of childhood adversities, compared to females in the general population.
This is also consistent with international general population rates of ACEs among high, middle and low-income countries as measured by the World Mental Health Survey (WMHS), which found that rates for physical abuse ranged from 5.3% to 10.8%, sexual abuse ranged from 0.6% to 2.4%, and neglect ranged from 3.6% to 5.2%.52 Overall, 61.5% had at least one ACE, while 7.0% had four or more ACEs. All 12 ACEs were significantly associated with DSM-5 disorders assessed in the WMHS.52 Prevalence rates of experiencing four or more ACEs in the general population ranging from 1% to 32%, were found in a more recent systematic review.9 Only studies from high- and middle-income countries were included in this review.9 The highest prevalence included in this systematic review was from a middle-income country,9 which is still substantially less than our findings.
Significantly, a cumulative Kaiser Permanente-CDC ACE score of six or more places individuals at increased risk of dying 20 years younger, of diseases commonly diagnosed in the primary care setting, compared with individuals without exposure to six or more ACEs.53 Even though our study used the WHO ACE-IQ, 10 items overlapped with the Kaiser Permanente-CDC ACE. Thus, the majority of women in our study who had six or more ACEs may likely fall into this high risk category for premature death, which is a cause for serious concern.
All studies in the systematic review by Bowen and colleagues also demonstrated substantially higher rates of ACEs in prisoners compared to community samples.17 Studies have reported that a large proportion of female prisoners have experienced childhood physical abuse, childhood sexual abuse, or both, which is consistent with our findings.54,55 Unfortunately, as Kennedy and colleagues (US) have highlighted, prison mental health services have not been designed to address this huge burden of childhood victimisation,56,57 which is likely to be the same in South African correctional centres.
Extant literature has reported that rather than occurring as singular experiences, individuals often experience multiple ACEs.7,9 This finding is consistent with our study. Furthermore, cumulative exposures to multiple forms of trauma highlight the detrimental impact of the trauma.58,59,60 A systematic review and meta-analysis, consisting of data from predominantly high-income countries, found that 45.5% of participants in the studies reviewed had at least one ACE.61 Similar to the ACE study, the review concluded that there was a graded relationship between ACEs and psychosocial or behavioural outcomes, that is, the more ACEs one had, the higher the likelihood of negative outcomes, which included tobacco use, alcohol problems, illicit drugs, obesity, risky sexual behaviour, depressed mood, suicidal ideation, being a victim of violence, psychological distress, hallucinations, anxiety or panic, and poor health or quality of life.61
The systematic review of prisoners by Bowen and colleagues further corroborated the association between childhood adverse events and the presence, number or severity of mental illnesses in adults. Specifically in female prisoners, they found that cumulative trauma was associated with PTSD, anxiety, mood disorders, alcohol and substance abuse, BPD, ASPD, and psychopathy. The majority of these findings are consistent with those of our study.17 Our study highlights the risk that cumulative ACEs impose on female inmates and adds support to the dose-response relationship reported in previous studies.
With respect to psychotic disorders, Varese and colleagues in their 2012 meta-analysis, reported associations between individual categories of childhood abuse (physical, sexual, emotional abuse and neglect) and psychosis.62 In addition, Kennedy and colleagues concluded that multi-victimisation in childhood is a risk factor for the development of psychosis among female prisoners.56 Owing to the small proportion of women with psychosis in our study, an association between childhood victimisation and psychosis could not be established.
No association was found between cumulative ACEs and violent offending in this study using both the frequency and binary versions. Previous studies have found associations between individual ACEs and violent offending, but investigations of associations between individual ACEs and violent offending were beyond the scope of this manuscript. This will be a focus of future publications. Another likely reason to explain the lack of association between cumulative ACEs and violent offending is that this study had a limited sample size.
This study found that women with ≥4 ACEs were 5.54 times more likely to be HIV infected than those with <4 ACEs on the frequency version. This is consistent with the literature which has reported that ACEs are more common in PLWHA.63,64 Adverse childhood experiences may have an effect on sexual risk behaviours, which increases the risk of sexually transmitted diseases including HIV.65 Among PLWHA, trauma is associated with mental illness, poor medication adherence, poor quality of life, faster disease progression and higher mortality rates.66,67,68,69,70,71,72 Even PLWHA who are virally suppressed on antiretroviral treatment, are disproportionately affected with mental health problems.73,74
Limitations
Participants in this study were from a single correctional centre in SA, and this may limit generalisability of the findings. Random sampling was only conducted on those who agreed to participate; thus, the possibility of sampling bias does exist. The sample size was limited; hence, the study was underpowered for showing associations between risk factors and mental illnesses. Furthermore, sensitive information was elicited via face-to-face interviews and therefore, social desirability bias may have contributed to under- or over-reporting. In addition, many studies in the literature used the Kaiser Permanente's 10-item ACE score, while our study used the 13-item WHO ACE-IQ score and thus direct comparison may not be possible. An isiZulu-English translator was used for interviews with participants who were not fluent in English, which may have influenced the findings. Finally, this was a cross-sectional study; hence, no causal inferences can be made.
Conclusion
This study contributes to the emerging literature on ACEs and their associations among incarcerated populations, particularly in a LMIC setting. It found that female inmates in Durban, SA, are a highly traumatised population as evidenced by the high rate of adversities experienced during childhood and adulthood. It also found an association between cumulative ACEs and mental illnesses such as PTSD, SUD, AUD, BPD, as well as between ACEs and HIV. This suggests the need for early screening and intervention for those inmates with ACEs, as well as comprehensive mental health care delivery which includes trauma and HIV care within mental health services. It is imperative for service providers in correctional facilities to adopt a trauma-informed lens so that they can understand the prevalence of trauma and its lasting deleterious impact on an inmate's psychological health. The authors therefore recommend that similar studies be undertaken at other correctional centres in SA, and in other LMICs so that findings may be compared. More importantly, our findings may serve as an evidence base to enable the formulation and implementation of gender-sensitive, trauma-informed policies and trauma-focussed interventions, which may benefit these women by improving their mental health and re-offending outcomes. Future studies should also take additional childhood adversities into account, such as the effects of adverse socio-economic circumstances.
Acknowledgements
The authors would like to thank the Department of Correctional Services and the female inmates who participated in this study. The authors would also like to thank Professor Tonya Esterhuizen for the statistical analysis.
Competing interests
The authors have declared that no competing interest exists.
Authors' contributions
S.N. conceptualised the study, collected and analysed the data, wrote the manuscript and obtained funding for the study. S.P., L.F. and U.S. were involved in the conceptualisation, supervision and editing of the manuscript.
Funding information
The study was partially funded by a bursary from the Nedgroup Trust awarded to the first author, S.N.
Data availability
The data that support the findings of this study are available from the corresponding author, S.N., upon reasonable request.
Disclaimer
The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated institution or funder, and the publisher.
References
1.Nelson CA, Zeanah CH, Fox NA. How early experience shapes human development: The case of psychosocial deprivation. Hindawi. 2019;2019:1676285. https://doi.org/10.1155/2019/1676285 [ Links ]
2.Shonkoff JP, Garner AS, Committee on Psychosocial Aspects of Child and Family Health; Committee on Early Childhood, Adoption, and Dependent Care; Section on Developmental and Behavioral Pediatrics. The lifelong effects of early childhood adversity and toxic stress. Pediatrics. 2012;129(1):e232-e246. https://doi.org/10.1542/peds.2011-2663 [ Links ]
3.Edalati H, Krank MD. Childhood maltreatment and development of substance use disorders: A review and a model of cognitive pathways. Trauma Violence Abuse. 2016;17(5):454-467. https://doi.org/10.1177/1524838015584370 [ Links ]
4.Hart H, Rubia K. Neuroimaging of child abuse: A critical review. Front Hum Neurosci. 2012;6:52. https://doi.org/10.3389/fnhum.2012.00052 [ Links ]
5.Anda RF, Butchart A, Felitti VJ, Brown DW. Building a framework for global surveillance of the public health implications of adverse childhood experiences. Am J Prev Med. 2010;39(1):93-98. https://doi.org/10.1016/j.amepre.2010.03.015 [ Links ]
6.Kalmakis KA, Chandler GE. Adverse childhood experiences: Towards a clear conceptual meaning. J Adv Nurs. 2014;70(7):1489-1501. https://doi.org/10.1111/jan.12329 [ Links ]
7.Felitti VJ, Anda RF, Nordenberg D, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The adverse childhood experiences study. Am J Prev Med. 1998;14(4):245258. https://doi.org/10.1016/S0749-3797(98)00017-8 [ Links ]
8.Centers for Disease Control and Prevention. Adverse childhood experiences (ACE) study [homepage on the Internet]. [cited 2020 May 23]. Available from: https://www.cdc.gov/violenceprevention/aces/about.html [ Links ]
9.Hughes K, Bellis MA, Hardcastle KA, et al. The effect of multiple adverse childhood experiences on health: A systematic review and meta-analysis. Lancet Public Health. 2017;2(8):e356-e366. https://doi.org/10.1016/S2468-2667(17)30118-4 [ Links ]
10.Bhengu BS, Tomita A, Mashaphu S, Paruk S. The role of adverse childhood experiences on perinatal substance use behaviour in KwaZulu-Natal Province, South Africa. AIDS Behav. 2020;24(6):1643-1652. https://doi.org/10.1007/s10461-019-02661-y [ Links ]
11.Byansi W, Galvin M, Chiwaye L, et al. Adverse childhood experiences, traumatic events, and mental health among adults at two outpatient psychiatric facilities in Johannesburg, South Africa: A cross-sectional analysis. BMC Psychiatry. 2023;23:581. https://doi.org/10.1186/s12888-023-05085-0 [ Links ]
12.Manyema M, Richter LM. Adverse childhood experiences: Prevalence and associated factors among South African young adults. Heliyon. 2019;5(12):e03003. https://doi.org/10.1016/j.heliyon.2019.e03003 [ Links ]
13.Dierkhising CB, Ko SJ, Woods-Jaeger B, Briggs EC, Lee R, Pynoos RS. Trauma histories among justice-involved youth: Findings from the National Child Traumatic Stress Network. Eur J Psychotraumatol. 2013;4(1):20274. https://doi.org/10.3402/ejpt.v4i0.20274 [ Links ]
14.Baglivio MT, Epps N, Swartz K, Huq MS, Sheer A, Hardt NS. The prevalence of adverse childhood experiences (ACE) in the lives of juvenile offenders. J Juvenile Justice. 2014 [cited 2021 Apr 02];3(2):1-17. Available from: http://www.journalofjuvjustice.org/JOJJ0302/article01.htm [ Links ]
15.Wolff N, Shi J, Siegel JA. Patterns of victimization among male and female inmates: Evidence of an enduring legacy. Violence Vict. 2009;24(4):469-484. https://doi.org/10.1891/0886-6708.24.4.469 [ Links ]
16.Sadeh N, McNiel N. Posttraumatic stress disorder increases risk of criminal recidivism among justice-involved persons with mental disorders. Crim Justice Behav. 2015;42(6):573-586. https://doi.org/10.1177/0093854814556880 [ Links ]
17.Bowen K, Jarrett M, Stahl D, Forrester A, Valmaggia L. The relationship between exposure to adverse life events in childhood and adolescent years and subsequent adult psychopathology in 49,163 adult prisoners: A systematic review. Pers Individ Differ. 2018;131:74-92. https://doi.org/10.1016/j.paid.2018.04.023 [ Links ]
18.Africa A. 'Bad girls to good women - Women offenders' narratives of redemption. Agenda. 2015;196(29):120-128. https://doi.org/10.1080/10130950.2015.1124501 [ Links ]
19.Artz L, Hoffman-Wanderer Y, Moult K. Hard time(s): Women's pathways to crime and incarceration. Cape Town: UCT/European Union and the Office of the Presidency; 2012. [ Links ]
20.Haffejee S, Vetten L, Greyling M. Exploring violence in the lives of women and girls incarcerated at three prisons in Gauteng Province, South Africa. Agenda. 2005;66:40-47. [ Links ]
21.Dastile NP. Women's routes to crime and incarceration in South African correctional centres: Implications for rehabilitation. S Afr J Criminol. 2014;27(1):1-12. [ Links ]
22.Mohlakoana-Motopi L, Selebano N, Bazola L, Motha L. Raising issues of mental health care for female inmates in South Africa [homepage on the Internet]. Policy brief 20. Commission for Gender Equality; 2018 [cited 2021 Oct 28]. Available from: http://cge.org.za/wp-content/uploads/2021/01/raising-issues-of-mental-health-care-for-female-inmates-in-south-africa.pdf [ Links ]
23.Wolff KT, Baglivio MT, Piquero AR. The relationship between adverse childhood experiences and recidivism in a sample of Juvenile offenders in community-based treatment. Int J Offender Ther Comp Criminol. 2017;61(11):1210-1242. https://doi.org/10.1177/0306624X15613992 [ Links ]
24.Widom CS. The cycle of violence. Washington, DC: National Institute of Justice, US Department of Justice; 1992. [ Links ]
25.Anda RF, Felitti VJ, Bremner JD, et al. The enduring effects of abuse and related adverse experiences in childhood. Eur Arch Psychiatry and Clin Neurosci. 2006;256(3):174-186. https://doi.org/10.1007/s00406-005-0624-4 [ Links ]
26.Nagdee M, Artz L, Corral C, et al. From victim to perpetrator to survivor: The psycho-social context of South African women offenders. S Afr J Psychiatry. 2018;24(1):a1290. http://doi.org/10.4102/sajpsychiatry.v24i0.1290 [ Links ]
27.Weizmann-Henelius G, Matti Grönroos L, et al. Gender-specific risk factors for intimate partner homicide: A nationwide register-based study. J Interpers Violence. 2012;27(8):1519-1539. https://doi.org/10.1177/0886260511425793 [ Links ]
28.Augsburger M, Basler K, Maercker A. Is there a female cycle of violence after exposure to childhood maltreatment? A meta-analysis. Psychol Med. 2019;49(11):1776-1786. https://doi.org/10.1017/S0033291719000680 [ Links ]
29.Rossegger A, Wetli N, Urbaniok F, Elbert T, Cortoni F, Endrass J. Women convicted for violent offenses: Adverse childhood experiences, low level of education and poor mental health. BMC Psychiatry. 2009;9:81. https://doi.org/10.1186/1471-244X-9-81 [ Links ]
30.Trauffer N, Widom CS. Child abuse and neglect, and psychiatric disorders in non-violent and violent female offenders. Violence Gend. 2017;4(4):137-143. https://doi.org/10.1089/vio.2017.0019 [ Links ]
31.Brown DW, Anda RF. Adverse childhood experiences: Origins of behaviors that sustain the HIV epidemic. AIDS. 2009;23(16):2231-2233. https://doi.org/10.1097/QAD.0b013e3283314769 [ Links ]
32.Spies G, Afifi TO, Archibald SL, Fennema-Notestine C, Sareen J, Seedat S. Mental health outcomes in HIV and childhood maltreatment: A systematic review. Syst Rev. 2012;1:30. https://doi.org/10.1186/2046-4053-1-30 [ Links ]
33.Wilson HW, Widom CS. An examination of risky sexual behavior and HIV in victims of child abuse and neglect: A 30-year follow-up. Health Psychol. 2008;27(2):149-158. https://doi.org/10.1037/0278-6133.27.2.149 [ Links ]
34.Meade CS, Kershaw TS, Hansen NB, Sikkema KJ. Long-term correlates of childhood abuse among adults with severe mental illness: Adult victimization, substance abuse, and HIV sexual risk behavior. AIDS Behav. 2009;13(2):207-216. https://doi.org/10.1007/s10461-007-9326-4 [ Links ]
35.Mimiaga MJ, Noonan E, Donnell D, et al. Childhood sexual abuse is highly associated with HIV risk-taking behavior and infection among MSM in the EXPLORE study. J Acquir Immune Defic Syndr. 2009;51(3):340-348. https://doi.org/10.1097/QAI.0b013e3181a24b38 [ Links ]
36.Cohen M, Deamant C, Barkan S, et al. Domestic violence and childhood sexual abuse in HIV-infected women and women at risk for HIV. Am J Public Health. 2000;90(4):560-565. https://doi.org/10.2105/AJPH.90.4.560 [ Links ]
37.Dube SR, Felitti VJ, Dong M, Chapman DP, Giles WH, Anda RF. Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: The adverse childhood experiences study. Pediatrics. 2003;111(3):564-572. https://doi.org/10.1542/peds.111.3.564 [ Links ]
38.Hillis SD, Anda RF, Felitti VJ, Marchbanks PA. Adverse childhood experiences and sexual risk behaviors in women: A retrospective cohort study. Family Plan Perspect. 2001;33(5):206-211. https://doi.org/10.2307/2673783 [ Links ]
39.Mosack KE, Randolph ME, Dickson-Gomez J, Abbott M, Smith E, Weeks MR. Sexual risk-taking among high-risk urban women with and without histories of childhood sexual abuse: Mediating effects of contextual factors. J Child Sex Abuse. 2010;19(1):43-61. https://doi.org/10.1080/10538710903485591 [ Links ]
40.Kharsany ABM, Cawood C, Khanyile D, et al. HIV Incidence Provincial Surveillance System (HIPPS). A longitudinal study to monitor HIV prevalence and incidence trends in KwaZulu-Natal, South Africa. Report on the baseline findings June 2018. Epicentre Health Research; 2018. [ Links ]
41.Naidoo S, Subramaney U, Paruk S, Ferreira L. Mental illness and HIV among female inmates in Durban, South Africa. S Afr J Psychiatry. 2022;28:a1628. https://doi.org/10.4102/sajpsychiatry.v28i0.1628 [ Links ]
42.Modupi MB, Mosotho NL, Le Roux HE. The prevalence of mental disorders among offenders admitted at health facilities in Bizzah Makhate Correctional Service Centre, Kroonstand, South Africa. Psychiatr Psychol Law. 2020;27(6):963-972. http://doi.org/10.1080/13218719.2020.1751742 [ Links ]
43.Lovett A, Kwon HR, Kidia K, et al. Mental health of people detained within the justice system in Africa: Systematic review and meta-analysis. Int J Ment Health Syst. 2019;13:31. https://doi.org/10.1186/s13033-019-0273-z [ Links ]
44.First MB. Structured Clinical Interview for the DSM (SCID) [homepage on the Internet]. Wiley Online Library; 2015. [ Links ]
45.World Health Organization. Adverse childhood Experiences International Questionnaire [homepage on the Internet]. Geneva: WHO; 2020 [cited 2020 Mar 28]. Available from: https://cdn.who.int/media/docs/default-source/documents/child-maltreatment/ace-questionnaire.pdf?sfvrsn=baed215c_2 [ Links ]
46.Kazeem OT. A validation of the adverse childhood experiences scale in Nigeria. Res Hum Soc Sci. 2015;5(11):18-23. [ Links ]
47.World Health Organization. World report on violence and health: Summary [homepage on the Internet]. Geneva: WHO; 2002 [cited 2021 Mar 23]. Available from: https://apps.who.int/iris/bitstream/handle/10665/42495/9241545615_eng.pdf [ Links ]
48.Harris PA, Taylor R, Thielke R, J Payne, Gonzalez N, Conde JG. Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381. https://doi.org/10.1016/j.jbi.2008.08.010 [ Links ]
49.Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: Building an international community of software partners. J Biomed Inform. 2019;95:103208. https://doi.org/10.1016/j.jbi.2019.103208 [ Links ]
50.Campbell JA, Walker RJ, Egede LE. Associations between adverse childhood experiences, high-risk behaviors, and morbidity in adulthood. Am J Prev Med. 2016;50(3):344-352. https://doi.org/10.1016/j.amepre.2015.07.022 [ Links ]
51.Jewkes RK, Dunkle K, Nduna M, Jama PN, Puren A. Associations between childhood adversity and depression, substance abuse and HIV and HSV2 incident infections in rural South African youth. Child Abuse Negl. 2010;34(11):833-841. https://doi.org/10.1016/j.chiabu.2010.05.002 [ Links ]
52.Kessler RC, McLaughlin KA, Green JG, et al. Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. Br J Psychiatry. 2010;197(5):378-385. https://doi.org/10.1192/bjp.bp.110.080499 [ Links ]
53.Brown DW, Anda RF, Tiemeier H, et al. Adverse childhood experiences and the risk of premature mortality. Am J Prev Med. 2009;37(5):389-396. https://doi.org/10.1016/j.amepre.2009.06.021 [ Links ]
54.Asberg KK, Renk K. Comparing incarcerated and college student women with histories of childhood sexual abuse: The roles of abuse severity, support, and substance use. Psychol Trauma Theor Res Pract Policy. 2013;5(2):167-175. https://doi.org/10.1037/a0027162 [ Links ]
55.Severson M, Postmus JL, Berry M. Incarcerated women: Consequences and contributions of victimization and intervention. Int J Prisoner Health. 2005;1(2-4):223-240. https://doi.org/10.1080/17449200600554611 [ Links ]
56.Kennedy SC, Tripodi SJ, Pettus-Davis C. The relationship between childhood abuse and psychosis for women prisoners: Assessing the importance of frequency and type of victimization. Psychiatr Q. 2013;84(4):439-453. https://doi.org/10.1007/s11126-013-9258-2 [ Links ]
57.Kennedy SC, Tripodi SJ, Pettus-Davis C, Ayers J. Examining dose-response relationships between childhood victimization, depression, symptoms of psychosis, and substance misuse for incarcerated women. Women Criminal Justice. 2016;26(2):77-98. https://doi.org/10.1080/08974454.2015.1023486 [ Links ]
58.Shin SH, McDonald SE, Conley D. Patterns of adverse childhood experiences and substance use among young adults: A latent class analysis. Addict Behav. 2018;78:187-192. https://doi.org/10.1016/j.addbeh.2017.11.020 [ Links ]
59.Pirkola S, Isometsä E, Aro H, et al. Childhood adversities as risk factors for adult mental disorders: Results from the Health 2000 study. Soc Psychiatry Psychiatr Epidemiol. 2005;40(10):769-777. https://doi.org/10.1007/s00127-005-0950-x [ Links ]
60.Merrick MT, Ports KA, Ford DC, Afifi TO, Gershoff ET, Grogan-Kaylor A. Unpacking the impact of adverse childhood experiences on adult mental health. Child Abuse Negl. 2017;69:10-19. https://doi.org/10.1016/j.chiabu.2017.03.016 [ Links ]
61.Petruccelli K, Davis J, Berman T. Adverse childhood experiences and health outcomes: A systematic review and meta-analysis. Child Abuse Negl. 2019;97:104127. https://doi.org/10.1016/j.chiabu.2019.104127 [ Links ]
62.Varese F, Smeets F, Drukker M, et al. Childhood adversities increase the risk of psychosis: A meta-analysis of patient-control, prospective- and cross-sectional cohort studies. Schizophr Bull. 2012;38(4):661-671. https://doi.org/10.1093/schbul/sbs050 [ Links ]
63.Wallace M, Felker-Kantor E, Madkour A, et al. Adverse childhood experiences, smoking, and alcohol use, and allostatic load among people living with HIV. AIDS Behav. 2020;24(6):1653-1662. https://doi.org/10.1007/s10461-019-02684-5 [ Links ]
64.Whetten K, Leserman J, Lowe K, et al. Prevalence of childhood sexual abuse and physical trauma in an HIV-Positive sample from the deep South. Am J Public Health. 2006;96(6):1028-1030. https://doi.org/10.2105/AJPH.2005.063263 [ Links ]
65.Hillis SD, Anda RF, Felitti VJ, Nordenberg D, Marchbanks PA. Adverse childhood experiences and sexually transmitted diseases in men and women: A retrospective study. Pediatrics. 2000;106(1):E11. https://doi.org/10.1542/peds.106.1.e11 [ Links ]
66.Brezing C, Ferrara M, Freudenreich O. The syndemic illness of HIV and trauma: Implications for a trauma-informed model of care. Psychosomatics. 2015;56(2):107-118. https://doi.org/10.1016/j.psym.2014.10.006 [ Links ]
67.LeGrand S, Reif S, Sullivan K, Murray K, Barlow ML, Whetten K. A review of recent literature on trauma among individuals living with HIV. Curr HIV/AIDS Rep. 2015;12(4):397-405. https://doi.org/10.1007/s11904-015-0288-2 [ Links ]
68.Leserman J, Pence BW, Whetten K, et al. Relation of lifetime trauma and depressive symptoms to mortality in HIV. Am J Psychiatry. 2007;164(11):1707-1713. https://doi.org/10.1176/appi.ajp.2007.06111775 [ Links ]
69.Mugavero MJ, Raper JL, Reif S, et al. Overload: Impact of incident stressful events on antiretroviral medication adherence and virologic failure in a longitudinal, multisite human immunodeficiency virus cohort study. Psychosom Med. 2009;71(9):920-926. https://doi.org/10.1097/PSY.0b013e3181bfe8d2 [ Links ]
70.Pence BW, Mugavero MJ, Carter TJ, et al. Childhood trauma and health outcomes in HIV-infected patients: An exploration of causal pathways. J Acquir Immune Defic Syndr. 2012;59(4):409-416. https://doi.org/10.1097/QAI.0b013e31824150bb [ Links ]
71.Bekele T, Collins EJ, Maunder RG, et al. Childhood adversities and physical and mental health outcomes in adults living with HIV: Findings from the Ontario HIV Treatment Network Cohort Study. AIDS Res Treat. 2018;1028:2187232. https://doi.org/10.1155/2018/2187232 [ Links ]
72.Pence BW, Reif S, Whetten K, et al. Minorities, the poor, and survivors of abuse: HIV-infected patients in the US deep South. S Med J. 2007;100(11):1114-1122. https://doi.org/10.1097/01.smj.0000286756.54607.9f [ Links ]
73.Garey L, Bakhshaie J, Sharp C, Neighbors C, Zvolensky MJ, Gonzalez A. Anxiety, depression, and HIV symptoms among persons living with HIV/AIDS: The role of hazardous drinking. AIDS Care 2015;27(1):80-85. https://doi.org/10.1080/09540121.2014.956042 [ Links ]
74.Heywood W, Lyons A. HIV and elevated mental health problems: Diagnostic, treatment, and risk patterns for symptoms of depression, anxiety, and stress in a national community-based cohort of gay men living with HIV. AIDS Behav. 2016;20(8):1632-1645. https://doi.org/10.1007/s10461-016-1324-y [ Links ]
Correspondence:
Samantha Naidoo
drsnaidoo@hotmail.com
Received: 17 May 2023
Accepted: 20 Nov. 2023
Published: 24 Jan. 2024