Literature DB >> 22606252

Prevalence of psychological trauma and association with current health and functioning in a sample of HIV-infected and HIV-uninfected Tanzanian adults.

Brian W Pence1, Kristen Shirey, Kathryn Whetten, Bernard Agala, Dafrosa Itemba, Julie Adams, Rachel Whetten, Jia Yao, John Shao.   

Abstract

BACKGROUND: In high income nations, traumatic life experiences such as childhood sexual abuse are much more common in people living with HIV/AIDS (PLWHA) than the general population, and trauma is associated with worse current health and functioning. Virtually no data exist on the prevalence or consequences of trauma for PLWHA in low income nations. METHODOLOGY/PRINCIPAL
FINDINGS: We recruited four cohorts of Tanzanian patients in established medical care for HIV infection (n = 228), individuals newly testing positive for HIV (n = 267), individuals testing negative for HIV at the same sites (n = 182), and a random sample of community-dwelling adults (n = 249). We assessed lifetime prevalence of traumatic experiences, recent stressful life events, and current mental health and health-related physical functioning. Those with established HIV infection reported a greater number of childhood and lifetime traumatic experiences (2.1 and 3.0 respectively) than the community cohort (1.8 and 2.3). Those with established HIV infection reported greater post-traumatic stress disorder (PTSD) symptomatology and worse current health-related physical functioning. Each additional lifetime traumatic experience was associated with increased PTSD symptomatology and worse functioning.
CONCLUSIONS/SIGNIFICANCE: This study is the first to our knowledge in an HIV population from a low income nation to report the prevalence of a range of potentially traumatic life experiences compared to a matched community sample and to show that trauma history is associated with poorer health-related physical functioning. Our findings underscore the importance of considering psychosocial characteristics when planning to meet the health needs of PLWHA in low income countries.

Entities:  

Mesh:

Year:  2012        PMID: 22606252      PMCID: PMC3351441          DOI: 10.1371/journal.pone.0036304

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

In high income nations, studies of people living with HIV/AIDS (PLWHA) have consistently demonstrated a high lifetime prevalence of traumatic life experiences. [1] In a large US cohort of women with or at high risk for HIV, 66% had experienced domestic violence and 31% percent had experienced sexual abuse during childhood.2 These numbers are substantially higher than the general population lifetime prevalence of domestic violence (25%) and childhood sexual abuse (13%). [2], [3] In a large cohort of HIV patients from the US Deep South, 30% of participants reported sexual abuse and 20% reported physical abuse during childhood; overall, 91% of respondents reported at least one potentially traumatic experience during their lifetimes. [4], [5]. In recent years, increasing attention has turned to the adverse behavioral and health consequences of trauma histories in PLWHA. [6], [7] A history of potentially traumatic life events has been associated with development of post-traumatic stress disorder (PTSD), [8]–[13] depression, [14]–[18] and substance abuse, [12], [14], [19]–[21] as well as increased high risk sexual and drug use behaviors that increase the risk of becoming infected, and transmitting infection to others. [14], [22]–[28] Though rates of PTSD have not been studied in large cohorts, existing data, predominately from high income countries, suggest that PTSD is highly prevalent among PLWHA. In a study of 350 county-based HIV primary care clinic patients, 34% met screening criteria for PTSD. [29] A recent meta-analysis of 5,930 HIV positive women demonstrated rates of probable PTSD of 30%, which is five times higher than the rates of PTSD among women in the general U.S. population. [30] Moreover, those with a history of traumatic experiences have lower medication adherence, greater emergency department utilization, faster progression to AIDS, and higher mortality rates. [31]–[34]. A history of traumatic experiences also predicts poorer current health-related physical functioning in PLWHA. [31] Current physical functioning is an important outcome to consider in its own right due to the correlation of lower physical functioning with lower CD4 counts, higher viral loads, and reduced survival rates. [35]–[38] Given the chronic nature of HIV infection, physical functioning may have important implications for pain, ability to work, and activities of daily living over a period of many years. Nearly all research on the impact of past trauma on current health and functioning for PLWHA has taken place in high income nations. In sub-Saharan Africa, home to two thirds of the world’s population of PLWHA, [39] there is limited data about exposure to potentially traumatic events or their physical and mental health sequelae. Among a cohort study of 44 HIV positive patients in a genitourinary medicine clinic in the Gambia, 43.2% endorsed PTSD symptoms. [40] A South African study conducted to validate the use of the 17 item Posttraumatic stress Diagnostic Scale (PDS) in a South African patient population surveyed a convenience sample of 85 recently diagnosed HIV positive patients. Among this sample, 44% met diagnostic criteria for current PTSD [41]and 54% met criteria for lifetime prevalence of PTSD. [42] Outside of this South African study, data are sparse regarding not only the prevalence of traumatic exposure in PLWHA, but also the relationship between traumatic exposure and current mental health and health-related physical functioning. With the rapid expansion of access to antiretroviral therapy in low income nations, it is critically important to understand the prevalence of trauma history in PLWHA in the region as well as its influence on mental health and functioning. Accordingly, the purpose of the present paper is to describe the lifetime prevalence of potentially traumatic experiences in a sample of HIV-positive and HIV-negative Tanzanian adults and to examine associations between lifetime trauma history, current mental health, and health-related physical functioning.

Methods

The Coping with HIV/AIDS in Tanzania (CHAT) Study is an observational cohort study designed to explore the longitudinal relationships between psychosocial characteristics, HIV medication adherence, and health outcomes among HIV-positive individuals in Tanzania. This study and all study activities were specifically approved by the Kilimanjaro Christian Medical Center Institutional Review Board in Tanzania and the Duke University Health System Institutional Review Board in the United States, and written informed consent was obtained from all participants. From November 2008 to October 2009, the CHAT Study recruited 1,197 participants to form five distinct cohorts: patients with established HIV infection receiving care at the regional tertiary referral hospital (KCMC, clinic census ∼1400; sample n = 228); patients with established HIV infection receiving care at the local public hospital (clinic census ∼2700; sample n = 271); individuals newly diagnosed with HIV at voluntary counseling and testing (VCT) sites (n = 267); individuals testing HIV-negative at VCT sites (n = 182); and a random sample of adults from the surrounding community (n = 249). Specific recruitment procedures were as follows. For the two clinical cohorts, any patient aged 18–65 residing in Moshi Urban and Hai districts of the Kilimanjaro region with plans to stay in the region for the foreseeable future was eligible to participate. Due to staffing and interview length, a maximum of 3 participants/clinic day could be enrolled at each clinic. At both clinics, it was estimated that at least 30% of patient visits were unscheduled, and there was a wide variation in the number of patients presenting on any given clinic day. Therefore, patients were selected by a random time point system. In order to construct the selection parameters for the random time selection, clinic flow was observed over the period of one week. From that week, the earliest arrival time of the second patient of the day and the latest arrival time of the next-to-last patient of the day were designated as the beginning and ending times for the time point sampling. Three minutes from the clinic day were randomly selected, with probability of selection proportional to the expected number of patients in a given time interval. The selected minutes for each day were distributed to the clinic nurses and programmed into alarms placed at the nursing triage station. After an alarm went off, the next patient in line for triage was screened for eligibility and, if eligible, read a standardized brief description of the research. Patients who were interested and desired further information underwent the full consent process with a research staff. If the selected patient declined or was ineligible, the next patient was approached as a replacement. The cohorts of individuals newly testing HIV-positive and -negative at VCT sites were recruited as follows. All people 18–65 years old and presenting for testing at 4 VCT sites in Moshi Urban were eligible for enrollment. Every eligible client receiving a positive HIV test was invited to participate, and after every other person testing positive, the next client testing negative was also invited. If a client refused to participate the next client was asked to replace them. Clients were invited after receiving the results of their HIV test. They either completed the interview immediately (38% of those testing positive and 58% of those testing negative) or made an appointment to return for the interview (within 7 days: 49% of those testing positive and 36% of those testing negative; more than one week later: 13% of those testing positive and 6% of those testing negative). Although the large majority of clients at these VCT sites came on their own, occasionally couples presented for testing together; of 449 total participants enrolled from VCT sites, 3 couples were enrolled. The community sample was recruited from households in the three districts corresponding to the majority of the catchment areas of the 4 VCT centers: Moshi Urban, Moshi Rural, and Hai districts. From the list of streets in each district, 25% of the streets were randomly selected (Moshi Urban –15 out of 60 streets, Moshi Rural –7 out of 30 streets and Hai –3 out of 10 streets). Street Leaders (each street has a designated Street Leader) were approached for lists of households on that street and the respective heads of those households. Ten households from each street were then randomly selected. The head of each selected household was then asked if the household would participate in the study. If the head of the household agreed, a census of household members between 18 and 65 years was taken. All those listed in the census register were asked if they would like to participate and of those who agreed, one was randomly selected through a randomization schedule. Recruitment for the community sample was performed without knowledge of HIV status. Participants complete in-person interviews every six months with trained local interviewers not previously known to the participants; these interviews last approximately one hour. HIV-infected participants who have initiated clinical care also complete clinical exams and provide blood for CD4 counts and HIV RNA viral loads on the same schedule. All interviews are conducted in Swahili, with instruments translated from and back-translated to English to confirm the validity of the translation. The present manuscript focuses on the baseline in-person interview only. The analyses exclude the cohort from the local public hospital, for whom the questions about trauma history at baseline were administered inconsistently.

Measures

Participants self-reported sociodemographic information including age, gender, marital status, highest level of completed education, religion, household assets, and tribe. Overall health-related physical functioning was assessed with the Short Form (SF)-8, a validated shortened version of the extensively used SF-36. [43], [44] The Physical Composite Score (PCS) was computed according to standard methodology; this score is a weighted average of the SF-8 items with heaviest weights given to questions focusing on overall perception of physical health, healthy physical functioning (e.g., degree to which health interferes with walking and lifting), functioning without bodily pain, and healthy role functioning (e.g., extent to which health limits work and activities). The score can range from 0–100, with higher scores indicating better health-related physical functioning and 10 units representing one standard deviation in the US normative population. [45]. Depressive severity was assessed with the Patient Health Questionnaire-9 (PHQ-9), a widely used depression case identification tool which has been validated in African populations[46], [47] and has a possible range of 0–27 with higher scores indicating greater depressive severity. [48], [49] Post-traumatic stress disorder (PTSD) symptom severity was assessed with the PTSD Symptoms Checklist (PCL) based on DSM-IV criteria that include re-experiencing a traumatic event, numbing/avoiding, and hyperarousal symptoms. This scale has strong reported reliability, and correlates highly with a clinician-administered PTSD measure. [50], [51]. Potentially traumatic experiences were defined, for the purposes of this study, as events that would satisfy criterion A(1) of the definition of PTSD in the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV –TR). [52] The number of categories of lifetime potentially traumatic events was measured with a questionnaire, adapted from prior research by Leserman and colleagues, which included detailed questions about sexual abuse and severe physical trauma (age, number of experiences, perpetrator, etc.), a standardized assessment of childhood physical and emotional neglect, [53] and individual questions asking about other potentially traumatic experiences. [31], [53]–[56] Sexual abuse was defined in the analysis to include sexual experiences (e.g., touching, intercourse) where force or threat of force was used; however, in children (before the age of puberty) the threat of force or harm was implied by a 5-year age differential between the victim and perpetrator. Physical abuse was defined as incidents separate from sexual abuse that were perceived to be life threatening (being physically attacked with the intent to kill or seriously injure), and other physical abuse (being beaten, hit, kicked, bit, or burned). Childhood physical and emotional neglect was measured with the Childhood Trauma Questionnaire and scored using the cutoffs suggested by Bernstein and Fink for moderate physical neglect (≥9) and moderate emotional neglect (≥12). [53] Other potential traumas before age 18 were parental alcohol/drug abuse, depression, suicide or attempted suicide; imprisonment of a parent; domestic violence in the home; being placed in reform school, prison or jail, or foster or adoptive care; death of an immediate family member; and having a life-threatening illness or injury not related to HIV. Lifetime potential traumas included murder or death by trauma of a close family member, death of a child, and death of a spouse/partner. Participants were assigned a score from 0 to 15 reflecting the number of types of potentially traumatic events experienced in their lifetime. This specification of the number of types of potentially traumatic events experienced has been used widely and has been associated with multiple negative health outcomes. [31], [34], [57]–[59]. Recent stressful life events were measured with a modified version of the Life Events Survey (LES)[60], [61] to measure the occurrence of stressful events in the 6 months preceding the baseline interview. Only those events considered to be moderately to severely stressful based on previous studies with interviewer-based objectively rated stresses were included. [31], [62] Moderate stressors included experiences such as relationship difficulties; death or serious illness of a close friend or extended family member; employment difficulties (e.g. loss of job); and non-HIV-related serious illnesses, injuries, and accidents. Severe stressors included divorce/separation, death or illness of an immediate family member, major financial problems (e.g., loss of home), more than a week in prison, and sexual and physical assault.

Statistical Analyses

Ordinary least squares regression was used to assess the association of measures of potentially traumatic and stressful life experiences with three measures of mental health and health-related physical functioning at the time of the baseline visit: PTSD symptom severity, depressive symptom severity, and SF-8 health-related physical functioning composite score. We included fixed effects for the four cohorts in each model. We examined whether the associations of life events with outcomes varied across the four cohorts by jointly testing a set of interaction terms between the site fixed effects and the life events measure in each model. We assessed the appropriateness of a linear specification of each continuous life events measure by testing the significance of adding a quadratic term. We hypothesized that lifetime potentially traumatic events might influence current PTSD symptomatology through recent stressful life events and depressive symptoms, and that lifetime potentially traumatic events might influence current health-related physical functioning through recent stressful life events depressive symptoms, and PTSD symptoms. To explore these hypotheses for the outcome of PTSD symptomatology, we first built a model that included the continuous measure of lifetime potentially traumatic events as well as site fixed effects and sociodemographic variables as covariates (Model 1). Model 2 included all Model 1 variables as well as the measure of recent stressful life events, and Model 3 included all Model 2 variables as well as depressive symptoms. For the outcome of health-related physical functioning, Models 1–3 were specified similarly, and we added a Model 4 which included all Model 3 variables as well as PTSD symptomatology. We assessed whether these variables mediated the association of lifetime potentially traumatic events with current PTSD symptoms or health-related physical functioning by examining shifts in the magnitude of the coefficient for lifetime potentially traumatic events as the hypothesized mediators were progressively added to the model. p<0.05, p<0.01 comparing each cohort to the Community cohort using a Chi-square test (categorical variables) or t-test (continuous variables).

Results

Sample Description

The four cohorts included 926 participants (249 community members, 182 newly tested HIV-negative, 267 newly tested HIV-positive, and 228 with established HIV infection) (Table 1). Response rates (the proportion of all those eligible and approached who provided informed consent) were 98% (community), 88% (newly tested HIV-negative), 96% (newly tested HIV-positive), and 100% (established HIV infection). Those newly testing HIV-negative and HIV-positive were younger on average (mean 32.2 years and 37.5 years, respectively) than the community sample (mean 39.6 years), while those with established HIV infection were older (mean 42.6 years). Those newly testing HIV-negative were evenly divided between males and females, whereas about two-thirds of those newly testing HIV-positive and those with established HIV infection were female. The newly tested HIV-negative individuals were comparable in physical and mental health scores to the community sample with the exception of elevated PTSD symptom severity. Those newly testing HIV-positive and those with established HIV infection had worse overall physical and mental health scores and greater PTSD symptom severity compared to the community cohort, and those newly testing HIV-positive also had elevated depressive symptoms compared to the other cohorts.
Table 1

Characteristics of Sample.

Mean (SD) or n (%)
CharacteristicCommunityNewly tested HIV-Newly diagnosed HIV+Established HIV+
Sample size249182267228
Age (range: 18–69)39.6 (12.3)32.2 (10.2)** 37.5 (9.0)* 42.6 (8.1)**
Gender
Male100 (40.2)92 (50.8)* 84 (31.6)* 76 (34.1)
Female149 (59.8)89 (49.2)* 182 (68.4)* 147 (65.9)
Marital status
Married or cohabitating176 (70.7)81 (44.8)** 110 (41.4)** 87 (39.0)**
Never married37 (14.9)71 (39.2)** 46 (17.3)** 33 (14.8)**
Widowed19 (7.6)11 (6.1)** 43 (16.2)** 65 (29.1)**
Divorced17 (6.8)18 (9.9)** 67 (25.2)** 38 (17.0)**
Highest level of education:
None3 (1.2)4 (2.2)13 (4.9)** 9 (4.0)
Primary191 (76.7)133 (73.5)218 (82.0)** 154 (69.1)
Secondary45 (18.1)40 (22.1)34 (12.8)** 50 (22.4)
University10 (4.0)4 (2.2)1 (0.4)** 10 (4.5)
Household asset score (range: 0–5)2.3 (1.6)2.1 (1.4)2.0 (1.4)2.2 (1.3)
Physical and mental health
SF-8 health-related physical functioning (range: 0–100)50.0 (8.6)50.3 (9.4)44.0 (11.5)** 45.2 (9.3)**
PHQ-9 depression score (range: 0–27)4.0 (5.4)3.9 (5.2)7.6 (6.9)** 4.8 (5.5)
PTSD symptom severity (range: 17–85)22.2 (7.5)25.3 (7.2)** 27.9 (8.4)** 23.9 (7.1)*
Number of types of potentially traumatic experiences
Childhood (range: 0–7)1.8 (1.4)1.5 (1.4)* 1.7 (1.4)2.1 (1.5)*
Lifetime (range: 0–8)2.3 (1.6)1.9 (1.6)** 2.2 (1.6)3.0 (1.9)**
Number of stressful life events, past 6 mo. (range: 0–14)4.2 (2.8)3.2 (2.5)** 2.9 (2.4)** 4.1 (2.4)

p<0.05,

p<0.01 comparing each cohort to the Community cohort using a Chi-square test (categorical variables) or t-test (continuous variables).

Traumatic and Stressful Events

Those with established HIV infection had the highest exposure to childhood (mean: 2.1 types of trauma) and lifetime (mean: 3.0) potentially traumatic experiences (Table 1). The exposure of those newly testing HIV-positive (childhood: 1.7; lifetime: 2.2) was comparable to the community cohort (childhood: 1.8; lifetime: 2.3), whereas those newly testing HIV-negative had lower exposure than the community cohort (childhood: 1.5; lifetime: 1.9). Recent stressful life events were comparable between the community cohort (mean: 4.2 events in past 6 months) and those with established HIV infection (4.1 events), while those newly testing HIV-negative (3.2 events) and HIV-positive (2.9 events) had fewer recent stressful life events. The most common type of potentially traumatic experience in all cohorts was childhood physical neglect, reported by over half of the community cohort and those with established HIV infection and by one-third of those newly testing HIV-negative and HIV-positive (Table 2). Other common potentially traumatic experiences from childhood included parental use of alcohol or drugs in the home, reported by one-quarter to one-half of all cohorts, and death of a close relative, reported by one-quarter to one-third of all cohorts. Parental mental illness, suicide attempt, or successful suicide was reported by 4–7% of respondents, depending on the cohort.
Table 2

Prevalence of lifetime potentially traumatic experiences.

n (%)
ExperienceCommunityNewly tested HIV-Newly diagnosed HIV+Established HIV+
Childhood experiences
Sexual abuse before puberty18 (7.3)16 (9.0)29 (11.0)13 (6.0)
Physical abuse before puberty5 (2.0)8 (4.5)7 (2.7)5 (2.3)
Parental alcoholism or use of drugs89 (35.7)49 (26.9)75 (28.1)133 (58.3)**
Parental mental illness, suicide, or suicide attempt15 (6.0)11 (6.0)19 (7.1)8 (3.5)
Parental imprisonment12 (4.8)5 (2.7)9 (3.4)12 (5.3)
Parental fighting and threats44 (17.7)27 (14.8)44 (16.5)69 (30.3)**
Emotional neglect32 (13.1)17 (9.6)73 (27.7)**27 (12.4)
Physical neglect155 (62.8)59 (33.3)**95 (36.0)**115 (53.0)*
Time in orphanage3 (1.2)3 (1.6)1 (0.4)2 (0.9)
Time in jail2 (0.8)5 (2.7)11 (4.1)* 4 (1.8)
Life-threatening illness22 (8.8)10 (5.5)9 (3.4)**12 (5.3)
Death of close relative58 (23.3)58 (31.9)* 75 (28.1)66 (28.9)
Lifetime experiences
Sexual abuse since puberty20 (8.1)5 (2.8)* 19 (7.2)16 (7.4)
Physical abuse or assault since puberty24 (9.8)13 (7.4)16 (6.1)14 (6.5)
Death of a close person due to other people1 40 (16.1)8 (4.4)**8 (3.0)**20 (8.8)*
Death of a child34 (13.7)29 (15.9)41 (15.4)58 (25.4)**
Death of spouse or partner16 (6.4)16 (8.8)48 (18.0)**73 (32.0)**

Murder, reported witchcraft, or traffic accident.

p<0.05, **p<0.01 comparing each cohort to the Community cohort using a Chi-square test.

Murder, reported witchcraft, or traffic accident. p<0.05, **p<0.01 comparing each cohort to the Community cohort using a Chi-square test. In adulthood, 25% of those with established HIV infection and 14–15% of those in the other cohorts had lost a child. In addition, 32% of those with established HIV infection and 18% of those newly testing HIV-positive had lost a spouse or partner, compared to 6–9% of those in the community cohort or newly testing HIV-negative. Sexual abuse before puberty was reported by 6–11% of respondents, depending on the cohort, and sexual abuse after puberty was reported by 3–8% of respondents. About one-third of those reporting sexual abuse before puberty also suffered sexual abuse after puberty. Severe physical abuse before puberty was reported by 2–5% of respondents, while physical abuse or assault after puberty was reported by 6–10% of respondents.

Trauma History and Current Health

Greater exposure to potentially traumatic experiences was associated with worse self-reported mental health and health-related physical functioning measures (Table 3). Controlling for cohort fixed effects, in bivariate analyses each additional lifetime potentially traumatic experience was associated with an increase of 0.6 (95% CI: 0.2, 0.9) units on the PTSD symptomatology scale, an increase of 0.5 (0.2, 0.7) units on the PHQ-9 depressive symptoms scale, and a decreases of −0.7 (−1.1, −0.2) units on the SF-8 health-related physical functioning composite score. When attention was restricted to childhood traumatic experiences, similar results were observed. Recent stressful life events were also associated with worse mental health and health-related physical functioning. Each additional recent stressful event was associated with an increase of 1.0 (95% CI: 0.8, 1.2) unit on the PTSD symptomatology scale, an increase of 0.6 (0.4, 0.7) units on the PHQ-9 depressive symptoms scale, and a decrease of 0.5 (−0.7, −0.2) units on the SF-8 health-related physical functioning score.
Table 3

Bivariate association of lifetime trauma exposure with mental and physical health.

PTSDSymptoms(range: 17–85)DepressiveSymptoms(range: 0–27)Health-relatedphysical functioning(range: 0–100)
Number of childhood traumatic experiences0.56 (0.22, 0.91)** 0.46 (0.20, 0.73)** −0.68 (−1.13, −0.24)**
Number of lifetime traumatic experiences0.68 (0.38, 0.97)** 0.49 (0.26, 0.72)** −0.64 (−1.03, −0.26)**
Number of stressful life events in past 6 months0.97 (0.78, 1.16)** 0.58 (0.43, 0.72)** −0.45 (−0.70, −0.19)**

p<0.05,

p<0.01.

For PTSD and depressive symptoms, a higher score indicates worse health. For the SF8 health-related physical functioning score, a lower score indicates worse functioning.

Results are presented as ordinary least squares regression coefficient (95% confidence interval) per 1-unit increase in the independent variable.

All models included fixed effects for cohorts. In all models, we tested for homogeneity of associations across cohorts and linearity of the association of the dependent and independent variables.

p<0.05, p<0.01. For PTSD and depressive symptoms, a higher score indicates worse health. For the SF8 health-related physical functioning score, a lower score indicates worse functioning. Results are presented as ordinary least squares regression coefficient (95% confidence interval) per 1-unit increase in the independent variable. All models included fixed effects for cohorts. In all models, we tested for homogeneity of associations across cohorts and linearity of the association of the dependent and independent variables. Models to test linearity generally supported linear relationships between the traumatic and stressful event measures and health status, indicating progressive worsening of physical or mental health with each additional potentially traumatic or stressful event. An exception was the relationship between recent stressful events and PTSD symptomatology, for which a quadratic model suggested the increase in PTSD symptoms accelerated as the number of recent stressful events increased. Models that used interaction terms to test for homogeneity across cohorts in the relationships between the traumatic and stressful event measures and health status supported homogeneous relationships across cohorts (P values for likelihood ratio tests comparing nested models with and without interaction terms >0.05). Table 4 presents a series of multivariate regression models examining the change in the magnitude of the association of trauma history with PTSD symptomatology as two hypothesized mediators (recent stressful events and current depressive symptoms) are added to the model. In Model 1, without mediators, trauma history remained associated with increased PTSD symptomatology after adjusting for demographic and socio-economic characteristics (Table 4, Model 1). Women reported greater PTSD symptomatology than men, and greater household assets were associated with fewer PTSD symptoms. When the number of recent stressful events was added to the model (Table 4, Model 2), the coefficient for trauma was attenuated by 41% but remained statistically significant, suggesting that recent stressful events might moderate part – but not all – of the relationship between history of potentially traumatic experiences and current PTSD symptoms. When current depressive symptoms were added to the model (Table 4, Model 3), the coefficient for trauma was attenuated an additional 20% and the coefficient for recent stressful events was attenuated by 23%, suggesting that current depressive symptoms might moderate part – but not all – of the relationships between trauma, stressful events, and current PTSD symptoms.
Table 4

Multivariate model of predictors of PTSD symptomatology.

Model 1Model 2Model 3
Number of lifetime traumatic experiences0.633 (0.326, 0.940)** 0.375 (0.077, 0.673)* 0.252 (−0.034, 0.537)
Number of stressful life events in past 6 monthsNA0.932 (0.738, 1.126)** 0.718 (0.527, 0.909)**
Depressive symptomsNANA0.385 (0.304, 0.465)**
Age, per 10 years−0.169 (−0.681, 0.343)−0.051 (−0.540, 0.439)−0.089 (−0.556, 0.378)
Female gender1.345 (0.294, 2.395)* 1.508 (0.506, 2.510)** 1.532 (0.576, 2.489)**
Marital status
Marriedrefrefref
Single−0.272 (−1.658, 1.113)0.527 (−0.806, 1.859)0.304 (−0.968, 1.577)
Widowed−0.045 (−1.642, 1.551)0.567 (−0.960, 2.095)0.274 (−1.186, 1.733)
Divorced0.300 (−1.202, 1.802)0.761 (−0.674, 2.196)0.023 (−1.355, 1.402)
Educational attainment
Nonerefrefref
Primary−1.341 (−4.191, 1.508)−1.981 (−4.702, 0.740)−1.651 (−4.249, 0.947)
Secondary−0.296 (−3.391, 2.799)−1.324 (−4.284, 1.635)−1.186 (−4.011, 1.639)
University0.619 (−3.521, 4.760)0.026 (−3.925, 3.977)−0.966 (−4.743, 2.810)
Household assets−0.487 (−0.861, −0.112)* −0.424 (−0.781, −0.066)* −0.264 (−0.607, 0.079)
Cohort
Communityrefrefref
Newly tested HIV-3.452 (1.930, 4.973)** 4.084 (2.627, 5.540)** 3.890 (2.499, 5.281)**
Newly diagnosed HIV+5.658 (4.292, 7.023)** 6.596 (5.279, 7.913)** 5.018 (3.718, 6.318)**
Established HIV+1.239 (−0.195, 2.673)1.074 (−0.294, 2.442)0.982 (−0.324, 2.288)
Model fit statistics
F statistic (d.f.); P value9.11 (13, 882); <0.000115.63 (14, 881); <0.000121.82 (15, 880); <0.0001
R2 0.120.200.27

p<0.05,

p<0.01.

Results are presented as Coefficient (95% confidence interval), where the coefficient represents the predicted change in the PTSD scale score (possible range: 17–85) for each one-unit change in the predictor variable. The successive models show the attenuation of the association of trauma with the outcome as successive hypothesized mediators are added to the model. Model 1 shows the association of number of lifetime traumatic experiences with PTSD symptomatology, adjusted for sociodemographic characteristics and cohort fixed effects. Model 2 shows the same association after additionally adjusting for recent stressful life events, and Model 3 shows the same association after additionally adjusting for current depressive symptoms.

p<0.05, p<0.01. Results are presented as Coefficient (95% confidence interval), where the coefficient represents the predicted change in the PTSD scale score (possible range: 17–85) for each one-unit change in the predictor variable. The successive models show the attenuation of the association of trauma with the outcome as successive hypothesized mediators are added to the model. Model 1 shows the association of number of lifetime traumatic experiences with PTSD symptomatology, adjusted for sociodemographic characteristics and cohort fixed effects. Model 2 shows the same association after additionally adjusting for recent stressful life events, and Model 3 shows the same association after additionally adjusting for current depressive symptoms. p<0.05, p<0.01. Results are presented as Coefficient (95% confidence interval), where the coefficient represents the predicted change in the SF-8 physical composite score (possible range: 0–100) for each one-unit change in the predictor variable. The successive models show the attenuation of the association of trauma with the outcome as successive hypothesized mediators are added to the model. Model 1 shows the association of number of lifetime traumatic experiences with current health-related physical functioning, adjusted for sociodemographic characteristics and cohort fixed effects. Model 2 shows the same association after additionally adjusting for recent stressful life events, Model 3 shows the same association after additionally adjusting for current depressive symptoms, and Model 4 shows the same association after additionally adjusting for current PTSD symptoms. In a similar set of nested models with the SF-8 health-related physical functioning score as the outcome, history of potentially traumatic experiences was associated with worse health-related physical functioning after adjusting for demographic and socio-economic characteristics (Table 5, Model 1). Women had worse health-related physical functioning than men, and greater household assets were associated with improved health-related physical functioning. When the number of recent stressful events was added to the model (Table 5, Model 2), the coefficient for trauma was attenuated by 20% but remained statistically significant, suggesting that recent stressful events might moderate part – but not all – of the relationship between history of potentially traumatic experiences and current health-related physical functioning. When current depressive symptoms were added to the model (Table 5, Model 3), the coefficient for trauma was attenuated an additional 43% and the coefficient for recent stressful events was attenuated by 90%, suggesting that current depressive symptoms might moderate most or all of the relationships between trauma, stressful events, and current health-related physical functioning. The further addition of PTSD symptomatology to the model did not substantively change other coefficients (Table 5, Model 4).
Table 5

Multivariate model of health-related physical functioning.

Model 1Model 2Model 3Model 4
Number of lifetime traumatic experiences−0.607 (−1.006, −0.208)** 0.485 (0.888, 0.082)* 0.223 (0.569, 0.123) 0.183 (0.532, 0.166)
Number of stressful life eventsin past 6 monthsNA 0.443 (0.707, 0.179)** 0.045 (0.188, 0.277)0.089 (0.152, 0.329)
Depressive symptomsNANA 0.897 (0.995, 0.799)** 0.876 (0.980, 0.772)**
PTSD symptomsNANANA 0.065 (0.146, 0.016)
Age, per 10 years 0.670 (1.337, 0.004)* 0.722 (1.386, 0.058)* 0.694 (1.262, 0.126)* 0.693 (1.263, 0.122)*
Female gender 1.469 (2.839, 0.099)* 1.547 (2.910, 0.183)* 1.606 (2.773, 0.439)** 1.509 (2.684, 0.333)*
Marital status
Marriedrefrefrefref
Single 0.704 (2.509, 1.102) 1.083 (2.892, 0.727) 0.614 (2.164, 0.935) 0.572 (2.127, 0.982)
Widowed0.784 (1.299, 2.868)0.498 (1.581, 2.577)1.210 (0.571, 2.991)1.180 (0.603, 2.963)
Divorced 0.741 (2.702, 1.219) 0.953 (2.907, 1.000)0.750 (0.933, 2.432)0.725 (0.959, 2.410)
Educational attainment
Nonerefrefrefref
Primary3.512 (0.210, 7.234)3.812 (0.106, 7.518)* 3.029 (0.144, 6.202)2.957 (0.219, 6.133)
Secondary1.922 (2.121, 5.965)2.413 (1.619, 6.444)2.046 (1.405, 5.497)1.995 (1.457, 5.447)
University0.821 (4.589, 6.231)1.105 (4.278, 6.487)3.389 (1.225, 8.002)3.352 (1.262, 7.966)
Household assets0.569 (0.081, 1.057)** 0.539 (0.053, 1.025)** 0.151 (0.267, 0.569)** 0.141 (0.278, 0.560)
Cohort
Communityrefrefrefref
Newly tested HIV- 0.289 (2.273, 1.695)** 0.581 (2.562, 1.400)** 0.265 (1.960, 1.431)** 0.012 (1.717, 1.740)
Newly diagnosed HIV+−5.896 (−7.675, −4.118)** −6.342 (−8.130, −4.553)** −2.802 (−4.381, −1.224)** −2.399 (−4.038, −0.760)**
Established HIV+−4.133 (−6.003, −2.263)** −4.058 (−5.918, −2.197)** −3.873 (−5.466, −2.280)** −3.769 (−5.366, −2.171)**
Model fit statistics
F statistic (d.f.); P value8.22 (13, 885); <0.00018.49 (14, 884); <0.000132.41 (15, 883); <0.000130.46 (16, 879); <0.0001
R2 0.110.120.360.36

p<0.05,

p<0.01.

Results are presented as Coefficient (95% confidence interval), where the coefficient represents the predicted change in the SF-8 physical composite score (possible range: 0–100) for each one-unit change in the predictor variable. The successive models show the attenuation of the association of trauma with the outcome as successive hypothesized mediators are added to the model. Model 1 shows the association of number of lifetime traumatic experiences with current health-related physical functioning, adjusted for sociodemographic characteristics and cohort fixed effects. Model 2 shows the same association after additionally adjusting for recent stressful life events, Model 3 shows the same association after additionally adjusting for current depressive symptoms, and Model 4 shows the same association after additionally adjusting for current PTSD symptoms.

Discussion

This study found that Tanzanian adults with established HIV infection had higher exposure to both childhood and lifetime potentially traumatic experiences than did the newly tested HIV positive, newly tested HIV negative, or community samples. The newly tested HIV positive and community cohorts were similar, and those newly tested HIV negative had the lowest overall lifetime exposure to potentially traumatic events. These findings are similar to Western studies demonstrating higher prevalence of exposure to traumatic events among PLWHA. [7], [10], [23], [63] However, this excess was not due to higher prevalence of childhood sexual and physical abuse: the reported prevalence of these experiences among the cohort with established HIV infection (6% and 2%, respectively) was lower than in many other studies and was not elevated relative to the geographically matched adult community cohort. The higher overall trauma exposure among those with established HIV infection relative to the community cohort in this study was due primarily to higher prevalence during childhood of parental alcohol use, drug use, fighting, or threats, and higher prevalence of loss of a child or spouse. Some of these events, such as childhood experiences, are likely to have preceded HIV infection; others, such as loss of a child or spouse, may partially reflect higher incidence of HIV infection among spouses or children. Exposure to potentially traumatic events in childhood is associated with high risk sexual and drug use behaviors that increase risk of acquiring HIV, so those who experienced more childhood trauma may have, through a history of increased risk behaviors, contracted HIV earlier in life, thereby placing them in the established HIV infection rather than newly diagnosed HIV cohort. [14], [22]–[28]. In bivariate analyses, we determined that greater exposure to potentially traumatic events was associated with poorer physical and mental health according to patient self-report measures. There was a linear relationship between number of lifetime potentially traumatic events and PTSD and depressive symptom severity, as well as health-related physical functioning scores. Multivariate models confirmed trauma history as associated with increased PTSD symptom severity. The association with trauma was attenuated, but not completely explained, by recent stressful events and presence of current depressive symptoms. Similarly, multivariate models of the association of lifetime traumatic event exposure with health-related physical functioning demonstrated that exposure to potentially traumatic experiences was associated with worse health-related physical functioning. In this case, the addition of recent stressful events and current depressive and PTSD symptoms to the model appeared to completely explain the association, which suggests that current mental health symptoms may moderate complex relationships between trauma, stress, and current health-related physical functioning. These findings are consistent with previous research which identified associations between trauma history and health-related physical functioning in PLWHA that was partially or fully mediated by current mental health indicators. [31]. To date, the majority of sub-Saharan African studies looking at prevalence of exposure to traumatic events have occurred in populations exposed to large-scale conflict and displacement. [64], [65] Data about the prevalence of traumatic life events in the general population in sub-Saharan Africa or other low income nations are much more limited. One exception is a longitudinal study of South African women which showed that those with a history of intimate partner violence had a greater risk of HIV acquisition than those without. [64] In a second study comparing trauma history and PTSD prevalence between PLWHA in the US Deep South and Tanzania, one fourth of Tanzanian respondents compared to 36% of US respondents reported a history of sexual assault; 7% of U.S. respondents had a probable diagnosis of PTSD compared to 22% of Tanzanian respondents. [65] Given the clear effects of trauma on mental health, health-related physical functioning, HIV risk behaviors, and HIV disease progression in Western, conflict-exposed, and refugee populations, it is essential to better characterize the prevalence of exposure to potentially traumatic events in PLWHA and their influence on health indicators and other important outcomes, especially as access to HIV treatment programs in sub-Saharan Africa is rapidly expanding. In the U.S., history of exposure to traumatic events is associated with poor treatment adherence, high risk sexual and drug use behaviors that increase disease transmission, lower medication adherence, and increased rates of progression to AIDS and mortality. [14], [22]–[28], [31]–[34] Further, in U.S. populations, exposure to potentially traumatic events appears to have a cumulative effect, in which people with higher trauma exposure experience poorer outcomes, including lower ART adherence, [66] higher virologic failure, [66] and increased AIDS-related and all-cause mortality rates. [33] These results are consistent with the findings from the present study that current mental health and health-related physical functioning appeared to deteriorate in a linear fashion with increasing trauma exposure. Interestingly, in one study patients with a diagnosis of PTSD related to their HIV diagnosis actually had lower rates of suboptimal adherence to ART. [67] Patients with PTSD related to potentially traumatic events other than HIV diagnosis were not included, and it is likely that the anxiety and distress related to PTSD, since centered around fear of HIV and disease progression, may contribute to medication adherence. However, in PLWHA who have a diagnosis of PTSD as a result of any type of trauma, ART adherence is lower; findings which are in keeping with the body of literature on PTSD and ART adherence in PLWHA. [68]–[70]. In interpreting the results of this study, it should be noted that exposure to traumatic events, depressive and PTSD symptoms, and health-related physical functioning were measured by self-report. Reporting of prior traumatic events may have been subject to recall bias because most traumatic events occurred years prior to the study interviews, or under-reporting due to reluctance to mention difficult experiences. It is possible that recall of past events was differential in ways that would bias some of the associations examined in this paper, for example if those with worse current mental health were more likely to recall difficult past experiences. Thus this study may have underestimated the prevalence of potentially traumatic events. In addition, the cross-sectional design of the analyses presented here limits the ability to make causal inferences about the relationships between exposure to traumatic events and changes in mental health and health-related physical functioning. We estimated the prevalence of trauma in HIV patients in established medical care, but did not include HIV-infected individuals who were not in care, which may have led to an underestimation of the mental health burden among HIV-infected individuals overall. Finally, a number of comparisons are reported, suggesting caution in interpreting indications of statistical significance. One notable strength of the study is the inclusion of a geographically matched community cohort; most previous studies have compared trauma rates to general population rates rather than to rates in the HIV-positive participants’ communities of origin. Our findings suggest that the associations between potentially traumatic events and current mental health and health-related physical functioning in PLWHA which have been observed in high income countries may apply in sub-Saharan African populations as well. These results underline the importance of identifying and responding to trauma histories within HIV medical care. As access to HIV medical care and antiretroviral therapy continues to expand rapidly in sub-Saharan Africa, further research is needed in the region to confirm whether trauma predicts other HIV-related behaviors and outcomes of epidemiologic and clinical importance, such as sexual risk behaviors, engagement in medical care, medication adherence, and mortality, as it has in high income countries. At the same time, consideration must be given now to designing HIV clinical programs capable of addressing psychosocial characteristics that may enhance or impede engagement in care and clinical response.
  61 in total

1.  A meta-analysis of the published research on the effects of child sexual abuse.

Authors:  E O Paolucci; M L Genuis; C Violato
Journal:  J Psychol       Date:  2001-01

2.  Physical and sexual abuse in women infected with the human immunodeficiency virus: increased illness and health care utilization.

Authors:  J M Liebschutz; G Feinman; L Sullivan; M Stein; J Samet
Journal:  Arch Intern Med       Date:  2000-06-12

3.  Self-reported childhood sexual and physical abuse and adult HIV-risk behaviors and heavy drinking.

Authors:  L S Bensley; J Van Eenwyk; K W Simmons
Journal:  Am J Prev Med       Date:  2000-02       Impact factor: 5.043

4.  Minorities, the poor, and survivors of abuse: HIV-infected patients in the US deep South.

Authors:  Brian Wells Pence; Susan Reif; Kathryn Whetten; Jane Leserman; Dalene Stangl; Marvin Swartz; Nathan Thielman; Michael J Mugavero
Journal:  South Med J       Date:  2007-11       Impact factor: 0.954

Review 5.  Trauma, mental health, distrust, and stigma among HIV-positive persons: implications for effective care.

Authors:  Kathryn Whetten; Susan Reif; Rachel Whetten; Laura Kathleen Murphy-McMillan
Journal:  Psychosom Med       Date:  2008-06       Impact factor: 4.312

6.  Trauma, anxiety and reported health among HIV-positive persons in Tanzania and the US Deep South.

Authors:  K Whetten; R A Whetten; J Ostermann; D Itemba
Journal:  AIDS Care       Date:  2008-11

7.  Relation of lifetime trauma and depressive symptoms to mortality in HIV.

Authors:  Jane Leserman; Brian Wells Pence; Kathryn Whetten; Michael J Mugavero; Nathan M Thielman; Marvin S Swartz; Dalene Stangl
Journal:  Am J Psychiatry       Date:  2007-11       Impact factor: 18.112

8.  Stressful life events and adherence in HIV.

Authors:  Jane Leserman; Gail Ironson; Conall O'Cleirigh; Joanne M Fordiani; Elizabeth Balbin
Journal:  AIDS Patient Care STDS       Date:  2008-05       Impact factor: 5.078

9.  Common mental disorders among HIV-infected individuals in South Africa: prevalence, predictors, and validation of brief psychiatric rating scales.

Authors:  Landon Myer; Joalida Smit; Liezel Le Roux; Siraaj Parker; Dan J Stein; Soraya Seedat
Journal:  AIDS Patient Care STDS       Date:  2008-02       Impact factor: 5.078

10.  Self-reported health-related quality of life in persons with HIV infection: results from a multi-site interview project.

Authors:  Michael L Campsmith; Allyn K Nakashima; Arthur J Davidson
Journal:  Health Qual Life Outcomes       Date:  2003-04-24       Impact factor: 3.186

View more
  26 in total

Review 1.  Childhood maltreatment and HIV-associated neurocognitive disorders share similar pathophysiology: a potential sensitisation mechanism?

Authors:  Jacqueline S Womersley; Soraya Seedat; Sian M J Hemmings
Journal:  Metab Brain Dis       Date:  2017-07-05       Impact factor: 3.584

2.  Adverse childhood experiences, sexual debut and HIV testing among adolescents in a low-income high HIV-prevalence context.

Authors:  Rachel Kidman; Hans-Peter Kohler
Journal:  AIDS       Date:  2019-11-15       Impact factor: 4.177

3.  Adverse Childhood Experiences: Prevalence and Association With Adolescent Health in Malawi.

Authors:  Rachel Kidman; Luciane R Piccolo; Hans-Peter Kohler
Journal:  Am J Prev Med       Date:  2019-12-04       Impact factor: 5.043

4.  Post-traumatic Stress Disorder Symptoms Among People Living with HIV/AIDS in Rural China.

Authors:  Sitong Luo; Chunqing Lin; Guoping Ji; Li Li
Journal:  AIDS Behav       Date:  2017-11

5.  Reduced adherence to antiretroviral therapy among HIV-infected Tanzanians seeking cure from the Loliondo healer.

Authors:  Nathan M Thielman; Jan Ostermann; Kathryn Whetten; Rachel Whetten; Dafrosa Itemba; Venance Maro; Brian Pence; Elizabeth Reddy
Journal:  J Acquir Immune Defic Syndr       Date:  2014-03-01       Impact factor: 3.731

6.  Positive and negative religious coping, depressive symptoms, and quality of life in people with HIV.

Authors:  Minsun Lee; Arthur M Nezu; Christine Maguth Nezu
Journal:  J Behav Med       Date:  2014-01-28

7.  The impact of stressful life events, symptom status, and adherence concerns on quality of life in people living with HIV.

Authors:  Inge B Corless; Joachim Voss; A J Guarino; Dean Wantland; William Holzemer; Mary Jane Hamilton; Elizabeth Sefcik; Suzanne Willard; Kenn Kirksey; Carmen Portillo; Marta Rivero Mendez; Maria E Rosa; Patrice K Nicholas; Sarie Human; Mary Maryland; Shahnaz Moezzi; Linda Robinson; Yvette Cuca
Journal:  J Assoc Nurses AIDS Care       Date:  2013-03-07       Impact factor: 1.354

8.  Treatment retention and care transitions during and after the scale-up of HIV care and treatment in Northern Tanzania.

Authors:  Jan Ostermann; Kathryn Whetten; Elizabeth Reddy; Brian Pence; Andrew Weinhold; Dafrosa Itemba; Venance Maro; Eligy Mosille; Nathan Thielman
Journal:  AIDS Care       Date:  2014-02-11

9.  Symptoms and subjective quality of life in post-traumatic stress disorder: a longitudinal study.

Authors:  Domenico Giacco; Aleksandra Matanov; Stefan Priebe
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

10.  Type and severity of intimate partner violence and its relationship with PTSD in HIV-infected women.

Authors:  Fatima Hansrod; Georgina Spies; Soraya Seedat
Journal:  Psychol Health Med       Date:  2014-10-10       Impact factor: 2.423

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.