Abstract
Background
Unique aspects of military sexual trauma (MST) may result in specific maladaptive cognitions among survivors. Understanding which posttraumatic cognitions are particularly strong among MST survivors could help clinicians target and improve treatment for these individuals. This study explored the impact of experiencing MST on posttraumatic cognitions among veterans with posttraumatic stress disorder (PTSD).
Methods
Veterans enrolled in an Intensive Outpatient Program for PTSD (N = 226) were assessed for MST, PTSD severity, depression severity, and posttraumatic cognitions as part of a standard clinical intake. Multivariate analyses examined differences in posttraumatic cognitions between veterans who did and did not experience MST.
Results
MST survivors (n = 88) endorsed significantly stronger posttraumatic cognitions related to self-blame compared to non-MST counterparts (n = 138), even when accounting for current symptom severity. Specifically, MST predicted the following cognitions: “The event happened to me because of the sort of person I am,” “Somebody else would have stopped the event from happening,” “Somebody else would not have gotten into this situation,” and “There is something about me that made the event happen,” after controlling for severity of PTSD and depression.
Limitations
Study population was a treatment-seeking sample of veterans diagnosed with PTSD from a non-VA clinic. Veterans in MST group endorsed either sexual harassment, sexual assault, or both. Sample size of males who endorsed MST (n = 21) may be too small to generalize to all males.
Conclusions
Beliefs related to self-blame may be important treatment targets for MST survivors.
Keywords: military sexual trauma, veterans, posttraumatic stress disorder, cognitions, depression
Introduction
Sexual violence within the U.S. Armed Forces is a widespread problem that has received increasing attention from clinicians, researchers, and the general public over the past two and a half decades. The Veterans Administration (VA) adopted the term military sexual trauma (MST) to describe the negative psychological impact of this problem. MST has been defined as “psychological trauma, which in the judgment of a … mental health professional, resulted from a physical assault of a sexual nature, battery of a sexual nature, or sexual harassment which occurred while the veteran was serving on active duty, active duty for training, or inactive duty training” (38 U.S.C. § 1720D). VA estimates indicate that approximately one in four female veterans and one in one hundred male veterans endorse experiencing MST, although prevalence estimates in the literature vary based on study methodology (Bostock and Daley, 2007; Hunter, 2007; Kimerling et al., 2007; Klingensmith et al., 2014). The experience of MST has been associated with a number of adverse mental and physical health problems, including posttraumatic stress disorder (PTSD), depression, and anxiety, as well as other mental and physical health problems (see Lofgreen et al., 2017 for review).
The development of negative posttraumatic cognitions (NPCs) following a traumatic event has been suggested to play a key mechanistic role in the genesis and maintenance of posttraumatic stress disorder (PTSD) and depression (Ehlers and Clark, 2000; Lo Savio et al., 2017). Specifically, the appraisal of the traumatic event, including one’s role in the event, and the overall meaning of the event for oneself, others, and the world, is postulated to determine the posttrauma trajectory, including subsequent mental health problems. For example, assuming inappropriate blame for the sexual assault or viewing oneself as incapable or permanently damaged as a result of the event is believed to contribute to the development of symptoms of PTSD and depression. Similarly, loss of one’s sense of safety, trust, power and control, and intimacy can lead to trauma-related symptoms (Resick et al., 2016). In addition to their role in the maintenance of PTSD symptoms, the alteration of NPCs has been shown to be an important mechanism of effective psychological treatments for PTSD (see Zalta, 2015 for a review).
Several studies indicate that NPCs may play an important role in the development and maintenance of PTSD for survivors of sexual trauma. Sexton and colleagues (2018) found that NPCs were significantly and positively correlated with self-reported PTSD symptoms. Among childhood sexual abuse survivors, dysfunctional beliefs measured by validated self-report scales were found to be correlated with higher PTSD symptoms as measured by both self-report (Wenninger and Ehlers, 1998) and clinician administered (Owens and Chard, 2001) measures, with medium to large effect sizes. One study utilizing Cognitive Processing Therapy (CPT) demonstrated that reductions in NPCs from pre- to post-treatment were associated with reductions in PTSD for MST survivors (Holliday et al., 2014). Among civilian female assault survivors (both sexual and non-sexual assault) with PTSD, being treated with Prolonged Exposure (PE) therapy resulted in clinically significant, reliable, and lasting reductions in NPCs, and changes in NPCs accounted for 41% of the variance in residual PTSD symptoms after controlling for pretreatment PTSD symptoms (Foa & Rauch, 2004). Significant differences were also found between pretreatment and posttreatment severity of NPCs among survivors treated with CPT for sexual abuse (Owens et al., 2001).
Although the associations between NPCs and trauma-related disorders are well-documented, little is known about whether sexual traumas, such as MST, are associated with certain types of NPCs. One study, which examined the effects of prolonged exposure therapy in female assault survivors, found that reductions in NPCs about the self (e.g., “There is something wrong with me as a person”) were associated with decreased PTSD symptoms, but reductions in self-blame were not (Foa and Rauch, 2004). More recently, Sexton and colleagues (2018) showed that veterans with MST reported more severe NPCs compared to veterans with combat trauma. These findings held true across all four factors that were measured (negative view of the self, negative view of the world, self-blame, and negative beliefs about coping competence) and after controlling for gender, suggesting that MST may increase risk for NPCs. However, this study did not control for levels of psychopathology, which means that differences between the MST and combat samples in NPCs may have been driven by a difference in severity rather than the experience of MST itself.
Notably, no study to date has yet examined whether the experience of MST is associated with specific NPC items. In psychotherapies that use cognitive restructuring as a primary treatment technique, such as Cognitive Processing Therapy (Resick et al., 2016), clinicians have the opportunity to help select which cognitions will be directly targeted in session. Understanding whether specific NPCs are unique to MST survivors could identify important treatment targets for cognitive-behavioral interventions and aid clinicians in delivering effective treatment. The present study examined NPCs among treatment-seeking veterans with PTSD to determine if those who experienced MST were more likely to endorse specific beliefs compared to those who did not experience MST. We also evaluated whether the relationship between MST and specific posttraumatic cognitions remained after controlling for severity of PTSD and depression symptoms.
Methods
Participants and Procedure
The sample for the present study consists of 226 treatment-seeking adult male (n = 155) and female (n = 71) veterans who enrolled in an Intensive Outpatient Program (IOP) for PTSD between January 2016 and February 2018 at the Rush Road Home Program, a non-VA clinic. Patients attend the IOP in co-ed cohorts of up to 12 veterans with separate cohorts focusing on combat trauma or MST. Service members, veterans, and their family members are eligible to receive free mental health care regardless of discharge status. All veterans were evaluated for PTSD using the Clinician Administered PTSD Scale for DSM-5 (CAPS-5; Weathers et al., 2013) as a part of the standard two-session intake process. The CAPS-5 is considered the gold standard for diagnosing PTSD. A diagnosis of PTSD is a pre-requisite for IOP admission, thus all sample participants met criteria for this diagnosis. Intakes were conducted by a variety of clinicians, including licensed clinical social workers, licensed professional counselors, and licensed clinical psychologists, and supervised postdoctoral fellows. Military and demographic characteristics of the sample are displayed in Table 1. Patients were assigned to either cohort (MST or combat) based on their index trauma as reported on the CAPS-5. It should be noted that patients in the MST cohorts may have experienced combat trauma and patients in the combat cohorts may have experienced MST. All study procedures were approved by the Institutional Review Board with a waiver of consent because all assessments were collected as part of routine clinical care procedures.
Table 1.
Demographic Characteristics by MST Group
Variable | MST (N = 88) |
Non-MST (N = 138) |
Total (N = 226) |
||||
---|---|---|---|---|---|---|---|
| |||||||
n | % | n | % | n | % | χ2 (df) | |
Gender | |||||||
Male | 21 | 23.9 | 134 | 97.1 | 155 | 68.6 | 133.77 (1)*** |
Female | 67 | 76.1 | 4 | 2.9 | 71 | 31.4 | |
Education | |||||||
High School or less | 5 | 5.7 | 22 | 15.9 | 27 | 11.9 | 6.13 (2)* |
Some College | 29 | 33.0 | 47 | 34.1 | 76 | 33.6 | |
College or Graduate degree | 53 | 60.2 | 67 | 48.6 | 120 | 53.1 | |
Unknowna | 1 | 1.1 | 2 | 1.4 | 3 | 1.3 | |
Marital Status | |||||||
Single | 24 | 27.3 | 17 | 12.3 | 41 | 18.1 | 9.99 (2)** |
Married/Domestic partner | 35 | 39.8 | 79 | 57.2 | 114 | 50.4 | |
Divorced/Separated/Widowed | 29 | 33.0 | 42 | 30.4 | 71 | 31.4 | |
Race/Ethnicity | |||||||
Caucasian/White | 42 | 47.7 | 87 | 63.0 | 129 | 57.1 | 8.46 (3)* |
African-American/Black | 22 | 25.0 | 17 | 12.3 | 39 | 17.3 | |
Hispanic or Latino | 17 | 19.3 | 28 | 20.3 | 45 | 19.9 | |
Other | 7 | 8.0 | 6 | 4.3 | 13 | 5.8 | |
Sexual Orientation | |||||||
Heterosexual/Straight | 73 | 83.0 | 137 | 99.3 | 210 | 92.9 | 20.25 (1)*** |
Gay/Lesbian/Bisexual | 14 | 15.9 | 1 | 0.7 | 15 | 6.6 | |
Unknowna | 1 | 1.1 | 0 | 0.0 | 1 | 0.0 | |
Branch of Service | |||||||
Air Force (Active, Nat. Guard, Reserve) | 16 | 18.2 | 3 | 2.2 | 19 | 8.4 | 37.14 (4)*** |
Army (Active, Nat. Guard, Reserve) | 46 | 52.3 | 106 | 76.8 | 152 | 67.3 | |
Marines | 8 | 9.1 | 23 | 16.7 | 31 | 13.7 | |
Navy | 16 | 18.2 | 6 | 4.3 | 22 | 9.7 | |
Coast Guard | 2 | 2.3 | 0 | 0.0 | 2 | 0.9 | |
Deployment History | 50.02 (1) *** | ||||||
Deployed | 53 | 60.2 | 135 | 97.8 | 188 | 83.2 | |
Non-deployed | 32 | 36.4 | 3 | 2.2 | 35 | 15.5 | |
Unknown | 3 | 3.4 | 0 | 0.0 | 3 | 1.3 | |
Era | |||||||
Pre-9/11 | 17 | 19.3 | 5 | 3.6 | 22 | 9.7 | 15.06 (1)*** |
Post-9/11 | 71 | 80.7 | 133 | 96.4 | 204 | 90.3 |
Individuals with missing data were excluded from chi-square analyses.
Note. Nat. Guard = National Guard
p < .05,
p < .01,
p < .001.
Measures
All measures used in the present study were collected as part of the standard intake clinical evaluation for each patient.
Military sexual trauma (MST)
Military sexual trauma (MST) was assessed using a 2-item screen: “While you were in the military, did you receive uninvited and unwanted sexual attention, such as touching, cornering, pressure for sexual favors, or verbal remarks?” and “While you were in the military, did someone ever use force or threat of force to have sexual contact with you against your will?” These items are used in VA settings to screen universally for sexual harassment and sexual assault, respectively (Kimmerling et al., 2007). Previous studies have confirmed that these items are highly sensitive (0.92 and 0.89, respectively) and specific (0.89 and 0.90; McIntyre et al., 1999). For the current study, the MST group was determined based on endorsement of either one of the two items, though the majority of people in the MST group endorsed both sexual harassment and sexual assault (85%). Positive screens on this measure correlate strongly with increased mental health service utilization and mental and physical health problems (Kimerling et al., 2007; Kimerling et al., 2008). The two items are highly correlated in the present sample (rs = .88, p < .001).
Posttraumatic Cognitions Inventory (PTCI; Foa et al., 1999)
The PTCI is a 33-item self-report scale designed to measure NPCs related to self-blame, negative beliefs about self, and negative beliefs about others and the world. Items are scored on a 7 point Likert scale from 1 (totally disagree) to 7 (totally agree). Higher scores on the PTCI subscales indicate stronger NPCs. The PTCI has demonstrated strong reliability and validity and is regularly used to assess military populations with PTSD, including MST survivors (Foa et al., 1999, Holliday et al., 2014). Although a number of studies psychometric studies on the PTCI have yielded the originally published 3-factor solution (self-blame, negative view of self, negative view of the world; Foa et al.,1999; Andreu et al., 2017), a recent study found that a 4-factor solution (self-blame, negative view of self, negative view of the world, and negative beliefs about coping competence) was a better fit to the data among a large sample of treatment seeking veterans with MST and combat trauma (Sexton et al., 2018). The total PTCI score had high internal consistency in the current sample (α = .94).
Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5; Weathers et al., 2013)
PTSD severity was assessed using the PCL-5. The PCL-5 is a 20 item self-report measure of PTSD symptom severity over the past month. Respondents were asked to rate their symptom severity on a 5 point Likert scale from 0 (not at all) to 4 (extremely) in relation to their index trauma with higher scores indicating greater PTSD severity. The PCL-5 has been shown to be a reliable and valid measure of PTSD symptom severity in veteran and military populations (Bovin et al., 2015; Wortmann et al., 2016). For the current analyses, symptoms assessing changes in cognitions as a result of the index trauma (i.e., items 9 and 10) were removed to reduce the potential for construct overlap between covariates and outcome variables. The remaining 18-items of the PCL-5 had high internal consistency in the current sample (α = .87).
Patient Health Questionnaire-9 (PHQ-9; Kroenke et al., 2001)
The PHQ-9 is a widely-used self-report measure of depression symptoms occurring in the previous two weeks. Items are rated on a 4 point scale from 0 (not at all) to 3 (nearly every day) and summed to create a total score (ranging from 0 to 27), with higher scores reflecting greater severity of depression. The PHQ-9 has previously demonstrated excellent psychometric properties with prior veteran samples, including survivors of MST (Schuyler et al., 2017). For the current analyses, one item assessing cognitive symptoms of depression (i.e., item 6) was removed to reduce the potential for construct overlap between covariates and outcome variables. The remaining 8 items of the PHQ-9 had acceptable internal consistency in the current sample (α = .76).
Data Analysis
Independent samples t-tests and χ2 tests were used to examine group differences (MST vs. non-MST) on demographic variables including age, gender, education, marital status, race/ethnicity, branch of service, deployment history, and service era. Next, non-parametric Mann-Whitney U tests were used to determine mean differences in individual NPCs between those who endorsed experiencing MST and those who did not. Unlike t-tests, the Mann-Whitney U does not require the assumption of normal data distribution. Family-wise error correction for multiple comparisons was then conducted using Hochberg’s step-up procedure (Hochberg, 1988). NPCs for which Hochberg’s step-up procedure demonstrated significant between-group differences were further examined using ordinal logistic regression analyses to determine if the experience of MST predicted NPCs after accounting for the overall severity of PTSD and depression. We also evaluated whether any demographic and military characteristics were significantly associated with total PTCI scores; characteristics that were significantly associated with both MST and the PTCI were included in the multivariate analyses.
Results
Of 227 veterans who attended the IOP between January 2016 and February 2018, 88 (38.8%) endorsed experiencing MST and 138 (60.8%) reported that they did not experience MST. One veteran did not answer MST items and was dropped from further analysis (N = 226). All of the veterans who attended MST IOP cohorts endorsed MST (n = 69; 56 women and 13 men). In the combat IOP cohorts, 19 of 138 veterans (13.8%; 11 women and 8 men) endorsed experiencing MST. Those exposed to MST were significantly older (M = 42.47, SD = 10.46) than those who did not endorse MST (M = 39.04, SD = 7.91; t = −2.80 (224), p = .001). Chi-square analyses also demonstrated differences in sex, marital status, race and ethnicity, sexual orientation, branch of service, deployment status and service era for those who did versus those who did not endorse MST (results displayed in Table 1). Those with MST were more likely to be female, to be from sexual or racial minority groups, and to have served pre-9/11. Those with MST were less likely to be married, to have served in the Army or Marines, and to have been deployed. None of these variables were associated with PTCI scores (all p > .05); therefore, none of these potential covariates were included in the multivariate models.
Results of Mann-Whitney U test and Hochberg’s step-up procedure for all items are displayed in Table 2. Mann-Whitney U tests demonstrated that those who were exposed to MST had significantly stronger endorsement of seven of thirty-three PTCI items. Four of these seven items remained significant after correcting for family-wise error using Hochberg’s step-up procedure (Hochberg, 1988). Specifically, those who endorsed MST had higher ratings on item 14: “The event happened to me because of the sort of person I am,” item 18: “Somebody else would have stopped the event from happening,” item 21: “Somebody else would not have gotten into this situation,” and item 30: “There is something about me that made the event happen.”
Table 2.
Mann Whitney U tests of PTCI items by MST group
PTCI Item | MST (N = 88) |
Non-MST (N = 138) |
U | p | ||||
---|---|---|---|---|---|---|---|---|
| ||||||||
Mdn | M | SD | Mdn | M | SD | |||
1: The event happened because of the way I acted | 4.0 | 3.48 | 2.14 | 4.0 | 3.40 | 2.08 | 5909.50 | .728 |
2: I can’t trust that I will do the right thing | 4.0 | 3.76 | 2.00 | 4.0 | 3.50 | 1.88 | 5634.50 | .355 |
3: I am a weak person | 4.0 | 3.80 | 1.96 | 3.0 | 3.25 | 1.94 | 5107.00 | .041 |
4: I will not be able to control my anger and will do something terrible | 4.0 | 3.66 | 1.89 | 4.0 | 3.78 | 1.79 | 5832.00 | .612 |
5: I can’t deal with even the slightest upset | 4.0 | 3.82 | 1.69 | 4.0 | 3.83 | 1.67 | 6045.00 | .954 |
6: I used to be a happy person but now I am always miserable | 5.5 | 5.28 | 1.58 | 6.0 | 5.29 | 1.60 | 6028.50 | .926 |
7: People can’t be trusted | 6.0 | 5.50 | 1.42 | 6.0 | 5.41 | 1.54 | 5943.00 | .782 |
8: I have to be on guard all the time | 6.0 | 5.97 | 1.22 | 6.0 | 5.91 | 1.21 | 5785.00 | .527 |
9: I feel dead inside | 5.0 | 4.66 | 1.76 | 5.0 | 4.81 | 1.81 | 5756.50 | .503 |
10: You can never know who will harm you | 6.0 | 5.61 | 1.58 | 6.0 | 5.56 | 1.44 | 5771.00 | .515 |
11: I have to be especially careful because you never know what can happen next | 6.0 | 5.60 | 1.44 | 6.0 | 5.65 | 1.28 | 6042.50 | .949 |
12: I am inadequate | 5.0 | 4.60 | 1.87 | 4.0 | 4.12 | 1.88 | 5182.50 | .060 |
13: If I think about the event, I will not be able to handle it | 5.0 | 4.56 | 1.69 | 4.0 | 3.99 | 1.75 | 4932.50 | .016 |
14: The event happened to me because of the sort of person I am | 4.0 | 3.86 | 2.10 | 2.0 | 2.64 | 1.79 | 4060.50 | .000* |
15: My reaction since the event mean that I am going crazy | 4.0 | 4.05 | 1.93 | 3.0 | 3.43 | 1.93 | 5010.50 | .025 |
16: I will never be able to feel normal emotions again | 5.0 | 4.55 | 1.86 | 5.0 | 4.92 | 1.70 | 5377.00 | .141 |
17: The world is a dangerous place | 6.0 | 5.63 | 1.60 | 6.0 | 5.91 | 1.21 | 5698.00 | .413 |
18: Somebody else would have stopped the event from happening | 4.0 | 4.15 | 1.93 | 3.0 | 3.26 | 1.97 | 4514.50 | .001* |
19: I have permanently changed for the worse | 5.0 | 4.65 | 1.79 | 5.0 | 4.68 | 1.70 | 6041.50 | .948 |
20: I feel life an object, not like a person | 5.0 | 4.57 | 1.82 | 4.0 | 4.25 | 1.88 | 5522.50 | .245 |
21: Somebody else would not have gotten into this situation | 4.0 | 4.05 | 1.91 | 3.0 | 3.08 | 1.94 | 4374.00 | .000* |
22: I can’t rely on other people | 6.0 | 5.27 | 1.76 | 5.0 | 4.96 | 1.70 | 5317.00 | .108 |
23: I feel isolated and set apart from others | 6.0 | 5.76 | 1.40 | 6.0 | 5.93 | 1.19 | 5781.50 | .524 |
24: I have no future | 4.0 | 3.74 | 1.78 | 4.0 | 3.99 | 1.86 | 5601.00 | .319 |
25: I can’t stop bad things from happening to me | 4.0 | 4.47 | 1.81 | 4.0 | 4.22 | 1.79 | 5629.50 | .349 |
26: People are not what they seem | 6.0 | 5.28 | 1.48 | 5.0 | 5.22 | 1.34 | 5775.00 | .525 |
27: My life has been destroyed by the trauma | 6.0 | 5.14 | 1.79 | 5.0 | 4.98 | 1.77 | 5728.50 | .465 |
28: There is something wrong with me as a person | 5.0 | 4.68 | 1.92 | 5.0 | 4.80 | 1.71 | 5962.00 | .815 |
29: My reactions since the event show that I am a lousy coper | 5.0 | 4.47 | 2.03 | 5.0 | 4.65 | 1.84 | 5835.50 | .617 |
30: There is something about me that made the event happen | 4.0 | 4.07 | 2.26 | 2.0 | 2.67 | 1.72 | 3939.00 | .000* |
31: I feel like I don’t know myself anymore | 5.5 | 4.98 | 1.84 | 6.0 | 5.14 | 1.71 | 5817.50 | .587 |
32: I can’t rely on myself | 5.0 | 4.59 | 1.95 | 5.0 | 4.62 | 1.74 | 5989.50 | .861 |
33: Nothing good can happen to me anymore | 4.0 | 3.60 | 2.00 | 4.0 | 3.66 | 1.94 | 5933.00 | .769 |
Note. MST = Military sexual trauma; PTCI = Posttraumatic Cognitions Inventory; Mdn = Median; Items are rated on a 1 (Totally disagree) to 7 (Totally agree) point scale.
Significant after correction with Hochberg’s step-up procedure (Hochberg, 1988).
These four significant NPCs were further examined as outcome variables in separate multivariate ordinal logistic regression models. Each model included MST, PTSD symptoms, and depression symptoms as simultaneous predictors. MST remained a significant predictor of all four NPCs in the multivariate models (see Table 3).
Table 3.
Ordinal Logistic Regression Models
Variable | 14: The event happened because of the sort of person I am | 18: Somebody else would have stopped the event from happening | 21: Somebody else would not have gotten into this situation | 30: There is something about me that made the event happen | ||||
---|---|---|---|---|---|---|---|---|
| ||||||||
β (SE) | OR | β (SE) | OR | β (SE) | OR | β (SE) | OR | |
MST Exposure | 1.22 (0.25)*** | 3.39 | 0.86 (0.25)*** | 2.36 | 0.98 (0.25)*** | 2.66 | 1.41 (0.26)*** | 4.10 |
PCL-5 | 0.02 (0.02) | 1.02 | 0.04 (0.02)* | 1.04 | 0.03 (0.02)* | 1.03 | 0.04 (0.02)* | 1.04 |
PHQ-9 | 0.08 (0.04)* | 1.08 | 0.00 (0.03) | 1.00 | 0.04 (0.04) | 1.04 | 0.09 (0.04)** | 1.09 |
p < .05,
p < .01,
p < .001.
Discussion
The present study examined whether the experience of MST was associated with specific NPC items among veterans with PTSD. This is the first study to date that has examined and identified specific problematic NPCs among survivors of sexual trauma in the military. Our findings showed that those who experienced MST were more likely to attribute causality for the trauma to personal failings compared to those who had not experienced MST. These results held after controlling for severity of PTSD and depression symptoms, indicating that differences in these beliefs are likely driven directly by the experience of MST rather than psychopathology resulting from MST. These findings are consistent with our understanding of MST and clinical expectations about how individuals may respond to these experiences. Military service members are trained to be self-reliant and able to protect themselves against the “enemy,” and the military culture is known for promoting values of strength, self-sufficiency, and personal responsibility (Castro et al., 2015). The experience of MST significantly undermines this sense of self-sufficiency and may contribute to beliefs that others with the same military training would not be victimized, leading survivors to view victimization as a personal failure.
Notably, the cognitions that were different between those who did and did not experience MST (items 14, 18, 21, and 30) all fall under the PTCI self-blame subscale (Foa et al., 1999; Sexton et al., 2018). Only one of the self-blame items (item 1: “The event happened because of the way I acted”) did not demonstrate differences between those with and without MST in univariate analyses. We did not observe differences in items related to negative beliefs about self, coping, or the world after using a more conservative approach to univariate testing to correct for family-wise error. This suggests that trauma survivors with PTSD who have and have not experienced MST view themselves, the world, and their ability to cope after trauma similarly. This is consistent with Ehlers and Clark’s (2000) Cognitive Model of PTSD, which proposes that individuals who experience different types of traumas and develop PTSD all share a common way of processing the trauma that leads to a sense of serious, current threat. Believing that one is living in a dangerous world, perceiving oneself as incapable of coping with threats, and viewing oneself as permanently damaged or doomed to a bad future all increase one’s perceptions of vulnerability to threat.
Common myths about sexual assault (also known as “rape myths”) and the pervasiveness of “rape culture” in society may contribute to this sense of self blame, as they normalize victim blaming and create hostility towards victims (Burt, 1980). Military culture may further exacerbate this experience, as research has shown that a majority of individuals who experience MST report perceptions of institutional betrayal including endorsement that the military creates an environment in which MST is common, reporting is difficult or detrimental to the survivor, the response to reporting is inadequate, and individuals who experience MST are devalued (Monteith et al., 2016). These findings suggest the need for cultural change within the military in attitudes towards sexual trauma which, in the authors’ clinical experience, appear to facilitate the development of these harmful beliefs for many survivors. The notable toxicity of interpersonal trauma may also play a role in the development of these cognitions, as it has far-reaching effects on how an individual views themselves in relation to others. Our findings cannot speak to whether the beliefs more strongly endorsed by those who experienced MST versus those who did not experience MST are specific to sexual trauma that occurred in the military or whether they are more likely to be endorsed by sexual trauma survivors in general. Moreover, given the high overlap between experiences of sexual harassment and sexual assault in our sample, it is unclear whether these different experiences might affect NPCs differently. Notably, the literature on military sexual harassment alone is limited (Stander and Thomsen, 2016) and to our knowledge, no studies have examined the relationship between sexual harassment alone and NPCs. Future research is needed to elaborate how the military context affects experiences of sexual harassment/assault and resulting beliefs.
Although our results align with our understanding of civilian and military cultural views on sexual violence, our results are somewhat inconsistent with previous studies on NPCs among sexual trauma survivors. Sexton and colleagues (2018) showed that veterans with MST reported higher NPCs across all factors (self-blame, negative cognitions about self, negative cognitions about world, negative beliefs about coping competence) compared to veterans with combat trauma. Additionally, Foa and Rauch (2004) showed that among civilian female assault survivors, reductions in NPCs about the self were associated with decreased PTSD symptoms, but reduction in self-blame cognitions were not. It is most likely that these differences are due to differences in the study samples and analytic approach. For example, Sexton and colleagues (2018) looked at differences in individuals based on their index trauma rather than looking at differences between those who had or had not experienced MST. Moreover, this study did not account for symptom severity, which may have been higher in the MST group, contributing to greater NPCs. Differences with the Foa and Rauch’s (2004) study may speak to differences across civilian and military sexual assault. Further research is needed to evaluate how these factors affect the manifestation of NPCs and their role in successful treatment.
The results of this study suggest that there may be clinical value in assessing and targeting NPCs related to self-blame in treating PTSD and depression among MST survivors. Our previous work with an overlapping sample of participants showed that changes in NPCs predicted subsequent changes in PTSD and depression symptoms over the course of the IOP (Zalta et al., under review). A recent study by Holliday and colleagues (2018) examined whether changes in different NPC clusters (self-blame, negative cognitions about self, negative cognitions about others) predicted subsequent changes in PTSD symptoms during CPT for MST survivors. They found that only changes in self-blame cognitions predicted subsequent changes in PTSD symptoms, providing further evidence that changes in self-blame are critical to recovery for MST survivors. It is important to note that previous research has shown that both CPT and PE are effective in attenuating NPCs including self-blame (Holliday et al., 2014; Schumm et al., 2015; Zalta et al., 2014). Thus the current results provide further support that both CPT and PE are indicated for veterans with MST. Further research is needed to determine whether enhanced monitoring and targeting of self-blame beliefs may optimize outcomes among MST survivors or help to prevent relapse.
This study has several limitations. Our study population is a treatment-seeking sample from a clinic outside of the VA, so results may not generalize to all survivors of MST. Additionally, the sample was comprised of veterans who attended an Intensive Outpatient Program for PTSD; thus, all veterans in the present sample met the diagnostic criteria for PTSD. Collecting data from a wider sample which includes both treatment seeking and non-treatment seeking survivors of MST may be an appropriate next step in continuing to explore NPCs among survivors of MST. Notably, individuals in the MST and non-MST group differed based on a number of demographic and military characteristics. Although none of these variables were associated with total PTCI scores, it is possible that factors associated with the experience of MST (e.g., racial and sexual minority status) might influence the development of the specific NPCs identified in our study. Large-scale studies are needed to disentangle these effects and evaluate the role of intersectionality in the experience of MST survivors. Our measure of MST included individuals who experienced both sexual assault and sexual harassment. The majority of our sample experienced both forms of MST (n = 75; 85.2%), which meant that we could not conduct separate analyses by MST type. Additional research is needed to understand how different types of MST affect NPCs. Finally, the sample size of males (n = 21) who endorsed MST is indicative of the low numbers of male survivors who present to treatment for this type of trauma, and may be too small to generalize to male survivors of MST. Understanding potential differences in the experience of MST for men and women is an important direction for future study.
Despite these limitations, our study is the first to explore specific NPC items among male and female MST survivors. Understanding negative posttraumatic cognitions endorsed by survivors of MST may be an important step towards improving treatment outcomes for this vulnerable population. Future research should explore how the experience of MST contributes to higher endorsement of these identified NPCs, whether any protective factors may help to attenuate the development of these harmful beliefs, and whether targeting these NPCs in cognitive behavioral interventions does indeed improve treatment outcomes. Moreover, exploring the optimal methods and interventions for targeting these beliefs may help to enhance treatment selection and treatment outcomes for MST survivors.
Highlights.
Military sexual trauma predicts specific negative cognitions in veterans with PTSD
Specific cognitions were focused on self-blame
Findings held after accounting for current psychopathology
These beliefs may be key treatment targets for military sexual trauma survivors
Acknowledgments
Philip Held receives grant support from the Boeing Company and the American Psychological Association. Niranjan Karnik receives grant support from Welcome Back Veterans, an initiative of the McCormick Foundation and Major League Baseball; the Bob Woodruff Foundation; and the National Center for Advancing Translational Science of the National Institutes of Health (UL1 TR002389). Alyson Zalta is supported by a career development award from the National Institute of Mental Health (K23 MH103394).
Role of Funding Source
We thank the Wounded Warrior Project for their support of the Warrior Care Network and the resulting research. The Road Home Program’s Military Sexual Trauma program also receives funding from the Field Foundation of Illinois, the Chicago Foundation for Women’s General Fund, and the Chicago Foundation for Women’s Doris & Howard Conant Fund for Women’s Rights. The content is solely the responsibility of the authors and does not necessarily represent the official views of any funding agencies specified above.
Footnotes
Contributors
Kathryn Carroll, Ashton Lofgreen, Darian Weaver, and Alyson Zalta were involved in generating hypotheses, conducting statistical analyses, interpretation of the data, and drafting of the manuscript. Philip Held and Alyson Zalta were involved in data collection. Philip Held and Brian Klassen were involved in interpretation of the data and editing of the manuscript. Dale Smith was involved in conducting statistical analyses, interpretation of the data, and editing of the manuscript. Niranjan Karnik and Mark Pollack were involved in securing funding, interpretation of the data, and editing of the manuscript.
Disclosure Statement
Mark Pollack receives research funding from the National Institutes of Health, Edgemont Pharmaceuticals, and Janssen Pharmaceuticals; provides consultation to Aptinyx, Clintara, Edgemont Pharmaceuticals and Palo Alto Health Sciences; receives equity from Argus, Doyen Medical, Medavante, Mensante Corporation, Mindsite, and Targia Pharmaceuticals; and receives royalties from SIGH-A, SAFER interviews. All other authors declare that they have no conflicts of interest.
References
- 38 U.S.C. § 1720D. Government Publishing Office. Web. 2 November 2017.
- American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. American Psychiatric Publishing; Washington D.C.: 2013. [Google Scholar]
- Andreu JM, Peña ME, de La Cruz MA. Psychometric evaluation of the Postraumatic Cognitions Inventory (PTCI) in female survivors of sexual assault. Women & Health. 2017;57(4):463–477. doi: 10.1080/03630242.2016.1153019. [DOI] [PubMed] [Google Scholar]
- Blake DD, Weathers FW, Nagy LM, Kaloupek DG, Gusman FD, Charney DS, Keane TM. The development of a clinician-administered PTSD scale. Journal of Traumatic Stress. 1995;8(1):75–90. doi: 10.1007/BF02105408. [DOI] [PubMed] [Google Scholar]
- Bostock DJ, Daley JG. Lifetime and current sexual assault and harassment victimization rates of active duty United States Air Force women. Violence Against Women. 2007;13(9):927–44. doi: 10.1177/1077801207305232. [DOI] [PubMed] [Google Scholar]
- Bovin MJ, Marx BP, Weathers FW, Gallagher MW, Rodriguez P, Schnurr PP, Keane TM. Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders–Fifth Edition (PCL-5) in veterans. Psychological Assessment. 2016;28(11):1379–1391. doi: 10.1037/pas0000254. [DOI] [PubMed] [Google Scholar]
- Burt M. Cultural myths and support for rape. Journal of Personal and Social Psychology. 1980;38(2):217–230. doi: 10.1037//0022-3514.38.2.217. [DOI] [PubMed] [Google Scholar]
- Castro CA, Kintzle S, Schuyler AC, Lucas CL, Warner CH. Sexual assault in the military. Current Psychiatry Reports. 2015;17(7):1–3. doi: 10.1007/s11920-015-0596-7. [DOI] [PubMed] [Google Scholar]
- Ehlers A, Clark DM. A cognitive model of posttraumatic stress disorder. Behavior Research and Therapy. 2000;38(4):319–345. doi: 10.1016/s0005-7967(99)00123-0. [DOI] [PubMed] [Google Scholar]
- Foa EB, Ehlers A, Clark DM, Tolin DF, Orsillo SM. The posttraumatic cognitions inventory (PTCI): development and validation. Psychological Assessment. 1999;11(3):303–314. [Google Scholar]
- Foa EB, Rauch SM. Cognitive changes during prolonged exposure versus prolonged exposure plus cognitive restructuring in female assault survivors with posttraumatic stress disorder. Journal Of Consulting And Clinical Psychology. 2004;72(5):879–884. doi: 10.1037/0022-006X.72.5.879. [DOI] [PubMed] [Google Scholar]
- Held P, Boley RA, Karnik NS, Pollack MH, Zalta AK. Psychological Trauma: Theory, Research, Practice, and Policy. Advanced online publication; 2017. Characteristics of veterans and military service members who endorse causing harm, injury, or death to others in the military. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hochberg Y. A sharper Bonferroni procedure for multiple tests of significance. Biometrika. 1988;75(4):800–802. [Google Scholar]
- Holliday R, Holder N, Surís A. Reductions in self-blame cognitions predict PTSD improvements with cognitive processing therapy for military sexual trauma-related PTSD. Psychiatry Research. 2018;263:181–184. doi: 10.1016/j.psychres.2018.03.007. [DOI] [PubMed] [Google Scholar]
- Holliday R, Link-Malcolm J, Morris EE, Surís A. Effects of cognitive processing therapy on PTSD-related negative cognitions in veterans with military sexual trauma. Military Medicine. 2014;179(10):1077–1082. doi: 10.7205/MILMED-D-13-00309. [DOI] [PubMed] [Google Scholar]
- Hunter M. Honor betrayed: Sexual abuse in America’s military. Barricade Books Incorporated; New Jersey: 2007. [Google Scholar]
- Kimerling R, Gima K, Smith MW, Street A, Frayne S. The Veterans Health Administration and military sexual trauma. American Journal of Public Health. 2007;97(12):2160–2166. doi: 10.2105/AJPH.2006.092999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kimerling R, Street AE, Gima K, Smith MW. Evaluation of universal screening for military-related sexual trauma. Psychiatric Services. 2008;59(6):635–640. doi: 10.1176/ps.2008.59.6.635. [DOI] [PubMed] [Google Scholar]
- Klingensmith K, Tsai J, Mota N, Southwick SM, Pietrzak RH. Military sexual trauma in US Veterans: results from the National Health and Resilience in Veterans Study. The Journal of Clinical Psychiatry. 2014;75(10):1133–1139. doi: 10.4088/JCP.14m09244. [DOI] [PubMed] [Google Scholar]
- Kroenke K, Spitzer RL, Williams JW. The PHQ-9: Validity of a brief depression severity measure. Journal Of General Internal Medicine. 2001;16(9):606–613. doi: 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lofgreen A, Carroll KK, Dugan S, Karnik N. An Overview of Sexual Trauma in the United States Military. Focus: The Journal of Lifelong Learning in Psychiatry. 2017;15(4):411–419. doi: 10.1176/appi.focus.20170024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lo Savio ST, Dillon KH, Resick PA. Cognitive Factors in the development, maintenance, and treatment of post-traumatic stress disorder. Current Opinion in Psychology. 2017;14:18–22. doi: 10.1016/j.copsyc.2016.09.006. [DOI] [PubMed] [Google Scholar]
- McIntyre LM, Butterfield MI, Nanda K, Parsey K, Stechuchak KM, McChesney AW, Koons C, Bastian LA. Validation of a trauma questionnaire in veteran women. Journal of the Society of General Internal Medicine. 1999;14(3):186–189. doi: 10.1046/j.1525-1497.1999.00311.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Monteith LL, Bahraini NH, Matarazzo BB, Soberay KA, Smith CP. Perceptions of institutional betrayal predict suicidal self-directed violence among veterans exposed to military sexual trauma. Journal of Clinical Psychology. 2016;72(7):743–755. doi: 10.1002/jclp.22292. [DOI] [PubMed] [Google Scholar]
- Owens GP, Chard KM. Cognitive distortions among women reporting childhood sexual abuse. Journal of Interpersonal Violence. 2001;16(2):178–191. [Google Scholar]
- Owens GP, Pike JL, Chard KM. Treatment effects of cognitive processing therapy on cognitive distortions of female child sexual abuse survivors. Behavior Therapy. 2001;32(3):413–424. [Google Scholar]
- Resick PA, Monson CM, Chard KM. Cognitive processing therapy. New York, NY: Guilford Press; 2016. [Google Scholar]
- Scher CD, Suvak MK, Resick PA. Trauma cognitions are related to symptoms up to 10 years after cognitive behavioral treatment for posttraumatic stress disorder. Psychological Trauma: Theory, Research, Practice, and Policy. 2017;9(6):750–757. doi: 10.1037/tra0000258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schuyler AC, Kintzle S, Lucas CL, Moore H, Castro CA. Military sexual assault (MSA) among veterans in Southern California: Associations with physical health, psychological health, and risk behaviors. Traumatology. 2017;23(3):223–234. [Google Scholar]
- Sexton MB, Davis MT, Bennett DC, Morris DH, Rauch SAM. A psychometric evaluation of the Posttraumatic Cognitions Inventory with Veterans seeking treatment following military trauma exposure. Journal of Affective Disorders. 2018;226:232–238. doi: 10.1016/j.jad.2017.09.048. [DOI] [PubMed] [Google Scholar]
- Stander VA, Thomsen CJ. Sexual harassment and assault in the U.S. Military: A review of policy and research trends. Military Medicine. 2016;181(suppl 1):20–27. doi: 10.7205/MILMED-D-15-00336. [DOI] [PubMed] [Google Scholar]
- Vrana S, Lauterbach D. Prevalence of traumatic events and post-traumatic psychological symptoms in a nonclinical sample of college students. Journal of Traumatic Stress. 1994;7(2):289–302. doi: 10.1007/BF02102949. [DOI] [PubMed] [Google Scholar]
- Weathers FW, Blake DD, Schnurr PP, Kaloupek DG, Marx BP, Keane TM. The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) 2013 doi: 10.1037/pas0000486. Available from the National Center for PTSD at www.ptsd.va.gov. [DOI] [PMC free article] [PubMed]
- Wenninger K, Ehlers A. Dysfunctional cognitions and adult psychological functioning in child sexual abuse survivors. Journal of Traumatic Stress. 1998;11(2):281–300. doi: 10.1023/A:1024451103931. [DOI] [PubMed] [Google Scholar]
- Wortmann JH, Jordan AH, Weathers FW, Resick PA, Dondanville KA, Hall-Clark B, Foa EB, Young-McCaughan S, Yarvis JS, Hembree EA, Mintz J, Peterson AL, Litz BT. Psychometric analysis of the PTSD Checklist-5 (PCL-5) among treatment-seeking military service members. Psychological Assessment. 2016;28(11):1392–1403. doi: 10.1037/pas0000260. [DOI] [PubMed] [Google Scholar]
- Zalta AK. Psychological Mechanisms of Effective Cognitive-Behavioral Treatments for PTSD. Current Psychiatry Report. 2015;17(23):560–567. doi: 10.1007/s11920-015-0560-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zalta AK, Held P, Smith DL, Klassen BJ, Lofgreen AM, Normand PS, Brennan MB, Rydberg TS, Boley RA, Pollack MH, Karnik NS. Manuscript under review. Evaluating patterns and predictors of symptom change during a three-week intensive outpatient treatment for veterans with PTSD. doi: 10.1186/s12888-018-1816-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zalta AK, Gillihan SJ, Fisher AJ, Mintz J, McLean CP, Yehuda R, Foa EB. Change in negative cognitions associated with PTSD predicts symptom reduction in prolonged exposure. Journal of Consulting and Clinical Psychology. 2014;82(1):171–175. doi: 10.1037/a0034735. [DOI] [PMC free article] [PubMed] [Google Scholar]