Literature DB >> 27467499

Associations Between Posttraumatic Stress Disorder, Emotion Dysregulation, and Alcohol Dependence Symptoms Among Inner City Females.

Brittany Goldstein1, Bekh Bradley1,2, Kerry J Ressler1, Abigail Powers1.   

Abstract

OBJECTIVE: The purpose of this study was to examine how emotion dysregulation (ED) might help explain the relationship between posttraumatic stress disorder (PTSD) and alcohol dependence (AD) symptoms in females.
METHOD: Participants included 260 women from primary, diabetes, and gynecological clinics of an urban public hospital. This is a primarily African American sample (96.9%), including individuals reporting exposure to at least 1 traumatic event. We examined the associations and predictability patterns between severity of PTSD symptoms, ED, and AD symptoms.
RESULTS: Using linear regression analyses, PTSD avoidance and numbing symptoms and ED were significant predictors of AD symptoms. When looking at specific dimensions of ED, one's inability to engage in goal-directed behavior under strong emotional influences showed a full indirect effect on the relationship between PTSD avoidance and numbing symptoms and AD symptoms.
CONCLUSION: Our findings suggest that having poor emotion regulation skills may help explain why females with PTSD become dependent on alcohol.
© 2016 The Authors. Journal of Clinical Psychology published by Wiley Periodicals, Inc.

Entities:  

Keywords:  PTSD; alcohol dependence; emotion dysregulation; traumatized population; women

Mesh:

Year:  2016        PMID: 27467499      PMCID: PMC5324595          DOI: 10.1002/jclp.22332

Source DB:  PubMed          Journal:  J Clin Psychol        ISSN: 0021-9762


In the general population, approximately 6%–8% of individuals suffer from posttraumatic stress disorder (PTSD; Kessler, Berglund, et al., 2005). In urban, low socioeconomic populations, that rate is significantly higher, with lifetime prevalence estimates of PTSD closer to 40%–50% (Alim et al., 2006; Gillespie et al., 2009; Schwartz, Bradley, Sexton, Sherry, & Ressler, 2005). Rates of PTSD are also higher in females than in males, so traumatized women may be a particularly important group to study with regard to negative outcomes (Alim et al., 2006; Breslau, David, Andreski, & Peterson, 1997; Gillespie et al., 2009; McLean, Asnaani, Litz, & Hofmann, 2011). Using the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition Text Revision (DSM‐IV‐TR; American Psychological Association, 2000) diagnostic criteria, there are three symptom clusters of PTSD, including reexperiencing (Criterion B), avoidance and numbing (Criterion C), and hyperarousal (Criterion D) symptoms. There is significant diversity in symptom presentation and the number of combinations of symptoms that might occur for individuals with PTSD. Different symptoms may relate to distinct functional problems or other psychiatric conditions. One major problem to consider is the high rates of comorbid alcohol use disorders (i.e., alcohol abuse and dependence) among individuals with PTSD. The positive association between alcohol use disorder and PTSD and the prevalence of comorbidity are well established in the literature (e.g., Kessler, Chiu, Demler, & Walters, 2005; Kessler, Sonnega, Bromet, Hughes, & Nelson, 1995; McFarlane, 1998; Stewart, Pihl, Conrod, & Dongier, 1998). The association with alcohol dependence (AD) may be particularly strong for avoidance and numbing and hyperarousal PTSD symptom clusters (see Debell et al., 2014, for a review). Some evidence suggests that PTSD is more likely to precede the onset of AD in women (Sonne, Back, Zuniga, Randall, & Brady, 2003). Moreover, there have been a number of longitudinal studies suggesting direct and temporal relationships between trauma exposure, the onset of PTSD symptoms, and the later development of alcohol use disorders (see Khantzian, 1997 and Stewart et al., 1998, for review; Cheng & Mallinckrodt, 2015; Haller & Chassin, 2014; Kline et al., 2014; Nickerson et al., 2014). There is strong evidence for an emotional component underlying the relationship between PTSD and AD. For instance, when compared to individuals without PTSD, those with PTSD are more likely to use alcohol when confronted with negative situations and emotions (Khantzian, 1997; Waldrop, Back, Verduin, & Brady, 2007). Turning to alcohol in these highly emotional contexts may be an avoidance mechanism (Brady, Back, & Coffey, 2004). Therefore, one construct through which the link between PTSD and AD may be understood is emotion dysregulation (ED). ED–the inability to properly regulate one's emotions–is a complex construct that represents how individuals might experience and have difficulty managing strong emotions. ED is associated with many negative mental health outcomes, including both PTSD and AD (Bonn‐Miller, Vujanovic, & Zvolensky, 2008; Bradley et al., 2011; Dvorak et al., 2014; Lilly & Lim, 2013; Tull, Barrett, McMillan, & Roemer, 2007; Weiss, Tull, Davis, et al., 2012). Studies have shown that ED is related to both the development and the severity of posttraumatic stress symptoms, across all three symptom clusters (Bradley et al., 2011; Lilly & Lim, 2013; Tull et al., 2007; Weiss, Tull, Davis, et al., 2012; Weiss, Tull, Viana, Anestis, & Gratz, 2012). Some studies have examined associations between specific dimensions of ED and PTSD symptom clusters, finding that all PTSD symptom clusters are significantly positively correlated with most ED dimensions (with exceptions involving difficulties with awareness and clarity of emotions; Tull et al., 2007; Weiss, Tull, Davis, et al., 2012). The literature also sheds light on the role of ED in alcohol use behaviors and consequences, especially in traumatized or PTSD populations (Bradley et al., 2011; Weiss, Tull, Anestis, & Gratz, 2013; Weiss, Tull, Viana et al., 2012). While the avoidance and numbing symptom cluster of PTSD is defined in part by the avoidance of trauma triggers, individuals with greater Criterion C symptom severity may have more generalized underlying avoidance problems. Avoiding negative emotions is a maladaptive emotion regulation strategy, as these behaviors seek to discard negative emotions rather than processing and modulating them. In fact, individuals with PTSD often describe alcohol as a common avoidance strategy used to control emotions (Hayes, Wilson, Gifford, Follette, & Strosahl, 1996; Khantzian, 1997). Although several studies have shown associations between PTSD, AD, and ED, we are unaware of any that examine whether ED helps to explain the relationship between PTSD and AD symptoms in a nonclinical, civilian sample of highly traumatized women. Furthermore, many studies did not examine differential associations across ED and the three PTSD symptom clusters in relation to AD, and there remains a great deal to be understood about these specific associations. Therefore, differences across PTSD symptom clusters and ED dimensions in relation to AD symptoms will be examined. The goal of the present study is to fill this gap in the literature by examining the associations between PTSD symptoms, ED dimensions, and AD symptoms. We will focus on an urban civilian population of females in which rates of trauma exposure and PTSD symptoms are high (Gillespie et al., 2009). We hypothesize that ED will have an indirect effect on the relationship between PTSD symptoms and AD symptoms.

Method

Procedure

Participants were drawn from a National Institute of Mental Health‐funded study of risk factors for the development of PTSD in a low socioeconomic, primarily African American urban population. Participants were recruited from waiting rooms in the diabetes, gynecology, and primary care medical (nonpsychiatric) clinics at Grady Memorial Hospital, a publicly funded hospital in Atlanta, Georgia. Interviewers approached participants waiting for appointments. To be eligible for participation, subjects had to be at least 18 years old and able to give informed consent. The investigation was carried out in accordance with the latest version of the Declaration of Helsinki and informed consent of the participants was obtained after the nature of the procedures had been fully explained. After signing the informed consent approved by the Emory Institutional Review Board, an initial interview was administered with questionnaires regarding trauma history and psychological variables. Trained research assistants administered this interview by reading each question aloud to participants; interviews took 45–75 minutes to complete (duration largely dependent on the participant's trauma history and symptoms). A more detailed and comprehensive assessment of psychological functioning was conducted in an associated study, which included a subset of participants who completed the initial assessment (see Gillespie et al., 2009, for full details regarding study procedures).

Participants

The current study includes 260 females with a mean age of 39.76 years (standard deviation [SD] = 11.73 years) who completed both the initial and secondary assessments. The majority of the participants self‐identified as African American (96.9%, n = 252). The remaining ethnicities represented included Caucasian (1.1%, n = 3) and Mixed or Other (2.0%, n = 5). This was a highly traumatized sample, with all participants reporting the experience of at least one type of trauma in their lifetime (mean [M] = 4.97, SD = 2.96).

Measures

Difficulties in Emotion Regulation Scale (DERS)

The DERS (Gratz & Roemer, 2004) is a psychometrically validated, self‐report, 36‐item measure of emotion regulation difficulties. It measures several aspects of emotion regulation, including awareness and understanding of one's emotions, acceptance of negative emotions, the ability to successfully engage in goal‐directed behavior and control impulsive behavior when experiencing negative emotions, and the ability to use situationally appropriate emotion regulation strategies. For the present study, the overall scale and six subscales of emotion regulation were examined. The internal consistency of the DERS total scale was high (α = 0.92).

Clinician‐Administered PTSD Scale

(CAPS).  The CAPS is an interviewer‐administered, psychometrically validated diagnostic instrument measuring PTSD (Blake et al., 1990, 1995). It includes items that rate social and occupational functioning, global PTSD symptom severity, and the validity of a participant's responses. The CAPS assesses current PTSD and yields a continuous measure of the severity of overall PTSD and the three DSM‐IV‐TR symptom clusters (i.e., reexperiencing, avoidance and numbing, and arousal, or Criterion B, C, and D, respectively). The frequency and intensity scores for each of the 17 diagnostic criteria are summed to arrive at a total severity score, and each criterion also has a total severity score based on the individual items for the respective criterion (five for Criterion B, seven for Criterion C, and five for Criterion D).

MINI International Neuropsychiatric Interview

The MINI (Sheehan et al., 1998) is a structured diagnostic interview that assesses mood, anxiety, substance use, and psychotic disorders based on DSM‐IV‐TR criteria. The MINI has shown good reliability and validity across different samples (Lecrubier et al., 1997; Sheehan et al., 1997). For the present study, only the current AD section was used. Within our sample, 24.2% (n = 63) affirmed to drinking three or more alcoholic drinks in a 6‐hour period on three or more occasions within the past year, and 6.9% met full DSM‐IV criteria for AD. For all analyses, we created a continuous variable to measure AD in an effort to capture overall severity of AD symptoms.

Traumatic Events Inventory (TEI)

The TEI (Gillespie et al., 2009; Schwartz et al., 2005) is a 14‐item screening instrument for lifetime history of traumatic events witnessed or experienced. The TEI was used in this investigation to assess total number of types of traumas exposed to in one's lifetime; therefore, the types of traumatic events either witnessed or experienced were summed to obtain an overall trauma load score.

Statistical Analysis

The overall analytic approach was to examine the predictive utility of current PTSD symptoms and ED on reported AD symptoms. We first examined the distributions of all key predictor variables. The PTSD, trauma exposure, and ED variables were positively skewed. However, the level of skewness (range: 0.42–1.66) as well as the level of kurtosis (range: −0.63–1.43) in this sample fell within acceptable parameters for the sample size on all variables (Tabachnick & Fidell, 2000). Descriptive statistics of the sample and all variables of interest were computed and are presented in Table 1. Bivariate correlations among variables of interest are described in Table 2.
Table 1

Descriptive Characteristics of Sample

 Mean (SD, range)
Age39.76 (11.73, 18–64)
TEI Total4.97 (2.96, 1–14)
Alcohol dependence symptoms total (MINI)0.43 (1.18, 0–7)
DERS Total70.31 (23.03, 36–165)
Nonacceptance 11.12 (5.22, 6–30)
Goals 11.48 (4.71, 5–25)
Impulse 10.88 (4.72, 6–30)
Awareness 12.86 (4.82, 6–27)
Strategies 14.53 (6.03, 8‐37)
Clarity 9.46 (4.00, 5–23)
CAPS Total21.05 (24.44, 0–99)
Reexperiencing 4.62 (7.13, 0–33)
Avoidance/numbing 8.18 (10.55, 0–42)
Hyperarousal 8.72 (9.49, 0–33)
N 260

Note. SD = standard deviation; TEI = Traumatic Events Inventory; MINI = MINI International Neuropsychiatric Interview; DERS = Difficulties in Emotion Regulation Scale; CAPS = Clinician‐Administered PTSD Scale.

Table 2

Bivariate Correlations Between Variables of Interest

Current alcohol dependenceCAPSCAPSCAPS
symptom severityTotalCriterion BCriterion CCriterion D
CAPS total0.09
Reexperiencing 0.07
Avoidance and numbing 0.16*
Hyperarousal 0.06
DERS total0.37** 0.39** 0.25** 0.45** 0.33**
Nonacceptance 0.23** 0.41** 0.27** 0.43** 0.38**
Goals 0.34** 0.25** 0.16* 0.30** 0.21**
Impulse 0.34** 0.27** 0.19** 0.32** 0.22**
Awareness 0.23** 0.18* 0.080.24** 0.15*
Strategies 0.28** 0.37** 0.26** 0.41** 0.33**
Clarity 0.34** 0.31** 0.20** 0.39** 0.25**

Note. DERS = Difficulties in Emotion Regulation Scale; CAPS = Clinician‐Administered PTSD Scale.

*p ≤ 0.01. **p ≤ 0.001.

Descriptive Characteristics of Sample Note. SD = standard deviation; TEI = Traumatic Events Inventory; MINI = MINI International Neuropsychiatric Interview; DERS = Difficulties in Emotion Regulation Scale; CAPS = Clinician‐Administered PTSD Scale. Bivariate Correlations Between Variables of Interest Note. DERS = Difficulties in Emotion Regulation Scale; CAPS = Clinician‐Administered PTSD Scale. *p ≤ 0.01. **p ≤ 0.001. Then, based on the results of the correlational analyses, two hierarchical linear regression models were used to examine the unique predictive value of PTSD symptoms and ED (total and separated by the individual dimensions of ED) on AD symptoms. Both because it will provide a more nuanced understanding of associations between variables and because results have differed by PTSD symptom cluster in previous research (Debell et al., 2014; Saladin, Brady, Dansky, & Kilpatrick, 1995), we analyzed the three symptom clusters of PTSD separately. Because research has shown that rates of AD vary by age and trauma exposure (Kessler, Berglund, et al., 2005; Turner & Lloyd, 1995), these variables were included as covariates in analyses. Finally, mediation analyses were performed with INDIRECT (Preacher & Hayes, 2008) for SPSS to test whether ED had an indirect effect on the relationship between current avoidance and numbing PTSD symptoms and AD symptoms. Bootstrapping with 95% confidence intervals (CIs) was used to determine significance of mediation effects. Bootstrapping is a particularly useful method for interpreting mediation analyses because it does not assume that sampling distributions of the indirect effects are normally distributed (Preacher & Hayes, 2008). Again, age and lifetime trauma were included as covariates in the INDIRECT analysis. Reexperiencing and hyperarousal symptoms were also controlled for in an effort to determine the specific association between avoidance and numbing and AD symptoms.

Results

To determine the extent of association between our predictor variables and current AD symptoms, we first calculated Pearson correlation coefficients. As shown in Table 2, of the current PTSD variables measured, only PTSD symptom cluster C (avoidance and numbing) was significantly positively correlated with current AD symptoms (p < 0.01). Total ED and all six dimensions of ED measured by the DERS also were significantly positively correlated with current AD symptoms (p ≤ 0.001). Furthermore, overall ED and all six dimensions of ED were significantly correlated with each PTSD symptom cluster (p < 0.01), except for a nonsignificant association between lack of emotional awareness and PTSD symptom cluster B. A hierarchical linear regression model was first run to test the differential associations of PTSD symptoms and ED with current AD symptoms. Age and overall trauma load were entered in the first step of each regression as covariates. As shown in Table 3, when the three PTSD symptom clusters were entered into the second step of the regression model, they were significantly predictive of AD symptoms (p < 0.05). Of the three symptom clusters included in the model, only avoidance and numbing symptoms were predictive (p < 0.01) of AD symptoms above and beyond the effects of age and trauma load. When overall ED was included in the model in step 3, the effect of avoidance and numbing symptoms was no longer significant. Overall, ED was significantly predictive of AD symptoms (p < 0.001), suggesting that ED may mediate the relationship between avoidance and numbing symptoms of PTSD and current AD symptoms. Age and trauma exposure were not significantly predictive of AD symptoms at any step.
Table 3

Linear Regression Model Predicting Current Alcohol Dependence Symptom Severity From Current PTSD Symptoms and Overall ED

βt p RR2 changeF change p change
 Step 1   0.110.011.590.21
Age−0.003−0.440.66
TEI0.041.750.08
 Step 2   0.220.033.010.03*
Age−0.002−0.240.81
TEI0.031.220.22
Reexperiencing−0.01−0.520.60
Avoidance and numbing0.042.900.004**
Hyperarousal−0.02−1.620.11
 Step 3   0.390.1131.21<0.001***
Age−0.001−0.160.88
TEI0.020.740.46
Reexperiencing0.0010.060.95
Avoidance and numbing0.011.080.28
Hyperarousal−0.02−1.660.10
DERS total0.025.59<0.001***

Note. PTSD = posttraumatic stress disorder; ED = emotion dysregulation; TEI = Traumatic Events Inventory; DERS = Difficulties in Emotion Regulation Scale.

* p ≤ 0.05. ** p ≤ 0.01. *** p ≤ 0.001.

Linear Regression Model Predicting Current Alcohol Dependence Symptom Severity From Current PTSD Symptoms and Overall ED Note. PTSD = posttraumatic stress disorder; ED = emotion dysregulation; TEI = Traumatic Events Inventory; DERS = Difficulties in Emotion Regulation Scale. * p ≤ 0.05. ** p ≤ 0.01. *** p ≤ 0.001. We also examined the effects of the six dimensions of ED independently to determine if there were differential effects (see Table 4). Each dimension was included in the regression model together. Similar results emerged in step 2 of this model; more specifically, only avoidance and numbing symptoms were significantly predictive of AD symptoms (p < 0.01). In step 3, ED dimensions were significantly predictive of current AD symptoms, accounting for 14% of additional variance in explaining alcohol symptoms independent of age, trauma exposure, and current PTSD symptoms. As shown in Table 4, the only ED dimension significant at step 3 was difficulty with goal directed behavior in the presence of strong emotions after controlling for the effects of age, trauma exposure, PTSD symptoms, and the other dimensions of ED. Again, avoidance and numbing PTSD symptoms were no longer significant when ED dimensions were included in the model, suggesting a potential mediation effect.
Table 4

Linear Regression Model Predicting Current Alcohol Dependence Symptom Severity From Current PTSD Symptoms and the Six Dimensions of ED

βt p RR2 changeF change p change
 Step 1   0.110.011.590.21
Age−0.003−0.440.66
TEI0.041.750.08
 Step 2   0.220.033.010.03*
Age−0.002−0.240.81
TEI0.031.220.22
Reexperiencing−0.01−0.520.60
Avoidance and numbing0.042.900.004***
Hyperarousal−0.02−1.620.11
 Step 3   0.420.136.50<0.001***
Age−0.001−0.100.92
TEI0.020.610.54
Reexperiencing0.0010.100.92
Avoidance and numbing0.010.940.35
Hyperarousal−0.02−1.260.21
Nonacceptance0.0010.050.97
Goals0.052.290.02*
Impulse0.041.520.13
Awareness0.020.910.36
Strategies−0.02−0.880.38
Clarity0.051.920.06

Note. PTSD = posttraumatic stress disorder; ED = emotion dysregulation; TEI = Traumatic Events Inventory; DERS = Difficulties in Emotion Regulation Scale.

* p ≤ 0.05. ** p ≤ 0.01. *** p ≤ 0.001.

Linear Regression Model Predicting Current Alcohol Dependence Symptom Severity From Current PTSD Symptoms and the Six Dimensions of ED Note. PTSD = posttraumatic stress disorder; ED = emotion dysregulation; TEI = Traumatic Events Inventory; DERS = Difficulties in Emotion Regulation Scale. * p ≤ 0.05. ** p ≤ 0.01. *** p ≤ 0.001. We used Preacher and Hayes’ (2008) INDIRECT to formally test the mediation model suggested by the linear regression analyses. Age, trauma load, and CAPS subscales for reexperiencing symptoms (Criterion B) and hyperarousal symptoms (Criterion D) were entered in the model as covariates. As shown in Figure 1, overall ED showed a full indirect effect on the relationship between avoidance and numbing PTSD symptoms and current AD symptoms (overall model: R2 = 0.15, F = 7.49, p < 0.001; bias corrected 95% CI [0.01, 0.04]). A similar full indirect effect was found when running the mediation model using the difficulty with goal‐directed behavior dimension of the DERS (overall model: R2 = 0.13, F = 6.42, p < 0.001; bias corrected 95% CI [0.01, 0.03]). Again, age, trauma load, and CAPS subscales for reexperiencing symptoms (Criterion B) and hyperarousal symptoms (Criterion D) were entered in the model as covariates and none of the covariates were significant.
Figure 1

The full indirect effects of overall emotion dysregulation and difficulties engaging in goal‐directed behavior on the relation between current avoidance and numbing PTSD symptoms and current alcohol dependence symptoms in females.Note. Age, trauma exposure, reexperiencing, and hyperarousal PTSD symptoms were controlled.

The full indirect effects of overall emotion dysregulation and difficulties engaging in goal‐directed behavior on the relation between current avoidance and numbing PTSD symptoms and current alcohol dependence symptoms in females.Note. Age, trauma exposure, reexperiencing, and hyperarousal PTSD symptoms were controlled.

Discussion

In support of previous research (e.g., Brady et al., 2004; Kessler et al., 1995; Kessler, Chiu, et al., 2005; McFarlane, 1998; Stewart et al., 1998; Swendsen et al., 2010), we found a significant association between PTSD symptoms and AD symptoms in this sample of urban, minority females. When examining the specific PTSD symptom clusters, only avoidance and numbing PTSD symptoms were significantly correlated to AD symptoms. Lifetime trauma load was not significantly related to AD, suggesting that within this sample it was not the number of traumatic events experienced but the presence of anxiety symptoms attributable to PTSD that contributed to AD. This adds to research suggesting that alcohol is used as an avoidance strategy in PTSD patients (Brady et al., 2004; Hayes et al., 1996) and highlights that trauma load itself may not increase risk for dependence, although it may increase risk for the development of PTSD which might then increase risk for alcohol use problems. Our results also showed that all dimensions of ED were positively significantly correlated with AD, supporting previous findings that ED and AD are associated (Bonn‐Miller et al., 2008; Dvorak et al., 2014). Expanding previous research, we also found that ED had a full indirect effect on the relationship between current PTSD avoidance and numbing symptoms and current AD symptoms among traumatized females. Moreover, difficulties engaging in goal‐directed behaviors had an indirect effect on this relationship above and beyond the other dimensions of ED in this sample. These findings suggest that poor emotion regulation in general, and an inability to stay focused on goal‐directed behaviors when faced with strong emotions in particular, may help explain why women with PTSD are driven to AD. Individuals with PTSD may experience greater negative emotions, and if they do not have adequate emotion regulation capabilities, then they might use alcohol to avoid those negative emotions (Cooper, Russell, Skinner, Frone, & Mudar, 1992; Hayes et al., 1996; Khantzian, 1997; Stewart, Zvolensky, & Eifert, 2002; Tull et al., 2007). The specific use of alcohol as an avoidance strategy may help explain why there was only a significant association between AD symptoms and the avoidance and numbing symptom cluster, although that cannot be determined from the current study based on its cross‐sectional nature. It is unclear why having difficulties with goal‐directed behaviors in the presence of strong emotions in particular was related to AD in these women. One possibility is that if negative emotions repeatedly resurface while attempting to focus and engage in goal‐directed behavior, then women with a tendency to try to control rather than modulate emotions may choose alcohol as a way to numb themselves from the negative situation. This behavior pattern would be analogous to the self‐medication theory, whereby individuals suffering from PTSD turn to alcohol abuse as a way to avoid fearful memories and to dampen negative emotions brought on by those memories (Brady et al., 2004; Khoury, Tang, Bradley, Cubells, & Ressler, 2010; Leeies, Pagura, Sareen, & Bolton, 2010; Quitkin, Rifkin, Kaplan, & Klein, 1972; Read, Merrill, Griffin, Bachrach, & Khan, 2014). Self‐medicating with alcohol among women with PTSD may involve ED processes. Lehavot, Stappenbeck, Luterek, Kaysen, and Simpson (2014) found that coping motives (i.e., drinking to avoid negative affect) were associated with amount of alcohol use in women. Additional research is needed to determine how in fact ED does relate to the self‐medication theory in traumatized females with PTSD. Future studies of urban females suffering from PTSD would benefit from including direct measures of self‐medication and drinking motives in addition to ED dimensions to further delineate how these constructs are interrelated with each other and with alcohol problems. The results of this study provide further support for targeting emotion regulation skills in therapy for traumatized individuals. Interventions for individuals suffering from PTSD and AD symptoms should be broad enough to support the needs of comorbidities and underlying areas of dysfunction (e.g., ED). The most common and effective therapy for PTSD treatment is prolonged exposure therapy (see Mørkved et al., 2014, for review). While early studies warned against antagonistic effects of exposure therapy in people with comorbid addiction disorders (e.g., Becker, Zayfert, & Anderson, 2004; Pitman et al., 1991), studies that are more recent have shown successful treatment in populations with comorbid PTSD and AD using various types of exposure therapy (e.g., Berenz, Rowe, Schumacher, Stasiewicz, & Coffey, 2012; Nosen, Littlefield, Schumacher, Stasiewicz, & Coffey, 2014). It is possible that targeting emotion regulation skills in addition to trauma‐focused treatment would be beneficial for traumatized females. Theoretically, improving emotion regulation abilities in women suffering from PTSD and AD may lessen AD symptoms, allowing for a more successful intervention of PTSD symptoms later in treatment. This has been shown in other populations, such as those with exposure to childhood sexual abuse (Cloitre, Koenen, Cohen, & Han, 2002; Cloitre, Stovall‐McClough, Miranda, & Chemtob, 2004), and researchers should continue to examine how best to incorporate emotion regulation training into treatment protocols.

Limitations

There are several noteworthy limitations of this study. First is the cross‐sectional design of our study. We cannot say for certain that the onset of PTSD and ED symptoms preceded the onset of AD symptoms in every participant, and therefore we cannot determine directional causality. Prospective, longitudinal studies are required to examine the temporal onset of ED, PTSD, and AD symptoms. Also, although the DERS is a validated measure of ED, it is inherently biased by its self‐report nature. Finally, our sample was largely low‐income African American females, which limits the generalizability of our findings to other populations. However, this weakness is balanced by the public health importance of studying these variables in an often underresearched and underserved population with such high rates of trauma exposure as well as mental health problems.

Conclusion

This study contributes to the research on PTSD and AD comorbidity by identifying a potential underlying factor that may help explain this well‐established relationship. In a highly traumatized, low socioeconomic, urban sample of women, we found that ED had a full indirect effect on the association between avoidance and numbing PTSD symptoms and AD symptoms; therefore, ED may be an important component of what drives this relationship. The current findings provide support for growing literature suggesting the addition of therapeutic interventions for emotion regulation difficulties in traumatized patient populations, especially those with comorbid PTSD and AD.
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2.  Understanding comorbidity between PTSD and substance use disorders: two preliminary investigations.

Authors:  M E Saladin; K T Brady; B S Dansky; D G Kilpatrick
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4.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters
Journal:  Arch Gen Psychiatry       Date:  2005-06

5.  Posttraumatic stress disorder among African Americans in an inner city mental health clinic.

Authors:  Ann C Schwartz; Rebekah L Bradley; Melissa Sexton; Alissa Sherry; Kerry J Ressler
Journal:  Psychiatr Serv       Date:  2005-02       Impact factor: 3.084

6.  The relations of anxiety sensitivity, experiential avoidance, and alexithymic coping to young adults' motivations for drinking.

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7.  Sex differences in posttraumatic stress disorder.

Authors:  N Breslau; G C Davis; P Andreski; E L Peterson; L R Schultz
Journal:  Arch Gen Psychiatry       Date:  1997-11

Review 8.  Functional associations among trauma, PTSD, and substance-related disorders.

Authors:  S H Stewart; R O Pihl; P J Conrod; M Dongier
Journal:  Addict Behav       Date:  1998 Nov-Dec       Impact factor: 3.913

9.  The temporal relationship between posttraumatic stress disorder and problem alcohol use following traumatic injury.

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10.  Gender differences in relationships among PTSD severity, drinking motives, and alcohol use in a comorbid alcohol dependence and PTSD sample.

Authors:  Keren Lehavot; Cynthia A Stappenbeck; Jane A Luterek; Debra Kaysen; Tracy L Simpson
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5.  Interpersonal abuse and alcohol use among African American young women: the mediating role of emotion dysregulation.

Authors:  Anthony E Hitch; Jennifer L Brown; Ralph J DiClemente
Journal:  J Ethn Subst Abuse       Date:  2021-08-02       Impact factor: 1.507

6.  BNST specific mGlu5 receptor knockdown regulates sex-dependent expression of negative affect produced by adolescent ethanol exposure and adult stress.

Authors:  Chelsea R Kasten; Eleanor B Holmgren; Mollie R Lerner; Tiffany A Wills
Journal:  Transl Psychiatry       Date:  2021-03-17       Impact factor: 6.222

7.  Pathways to post-traumatic stress disorder and alcohol dependence: Trauma, executive functioning, and family history of alcoholism in adolescents and young adults.

Authors:  Stacey Subbie-Saenz de Viteri; Ashwini Pandey; Gayathri Pandey; Chella Kamarajan; Rebecca Smith; Andrey Anokhin; Lance Bauer; Annah Bender; Grace Chan; Danielle Dick; Howard Edenberg; Sivan Kinreich; John Kramer; Marc Schuckit; Yong Zang; Vivia McCutcheon; Kathleen Bucholz; Bernice Porjesz; Jacquelyn L Meyers
Journal:  Brain Behav       Date:  2020-09-29       Impact factor: 2.708

8.  Discrimination of alcohol dependence based on the convolutional neural network.

Authors:  Fangfang Chen; Meng Xiao; Cheng Chen; Chen Chen; Ziwei Yan; Huijie Han; Shuailei Zhang; Feilong Yue; Rui Gao; Xiaoyi Lv
Journal:  PLoS One       Date:  2020-10-27       Impact factor: 3.240

  8 in total

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