PSYCH article summary
JOURNAL OF DUAL DIAGNOSIS, 11(2), 107–117, 2015 Copyright C© Taylor & Francis Group, LLC ISSN: 1550-4263 print / 1550-4271 online DOI: 10.1080/15504263.2015.1025013
PTSD Symptoms, Emotion Dysregulation, and Alcohol-Related Consequences Among College Students With a Trauma History
Jessica C. Tripp, MS,1 Meghan E. McDevitt-Murphy, PhD,1 Megan L. Avery, MS,1
and Katherine L. Bracken, PhD2
Objective: Posttraumatic stress disorder (PTSD), alcohol use, and alcohol-related consequences have been linked to emotion dys- regulation. Sex differences exist in both emotion regulation dimensions and alcohol use patterns. This investigation examined facets of emotion dysregulation as potential mediators of the relationship between PTSD symptoms and alcohol-related consequences and whether differences may exist across sexes. Methods: Participants were 240 college students with a trauma history who reported using alcohol within the past three months and completed measures of PTSD symptoms, emotion dysregulation, alcohol consumption, alcohol-related consequences, and negative affect. The six facets of emotion dysregulation were examined as mediators of the rela- tionship between PTSD symptoms and alcohol-related consequences in the full sample and by sex. Results: There were differences in sexes on several variables, with women reporting higher PTSD scores and lack of emotional awareness. Men reported significantly more drinks per week in a typical week and a heavy week. There were significant associations between the variables for the full sample, with PTSD showing associations with five facets of emotion dysregulation subscales: impulse control difficulties when upset, difficulties engaging in goal-directed behavior, nonacceptance of emotional responses, lack of emotional clarity, and limited access to emotion regulation strategies. Alcohol-related consequences were associated with four aspects of emotion dysregulation: impulse control difficulties when upset, difficulties engaging in goal-directed behavior, nonacceptance of emotional reponses, and limited access to emotion regulation strategies. Two aspects of emotion regulation, impulse control difficulties and difficulties engaging in goal directed behavior, mediated the relationship between PTSD symptoms and alcohol-related consequences in the full sample, even after adjusting for the effects of negative affect. When examined separately by gender, impulse control difficulties remained a mediator for men and difficulties engaging in goal directed behavior for women. Conclusions: These analyses shed light on processes that may underlie “self-medication” of PTSD symptoms. Gender-specific interventions targeting emotion dysregulation may be effective in reducing alcohol-related consequences in individuals with PTSD. Women may possibly benefit from interventions that focus on difficulties engaging in goal-directed behavior, while men may benefit from interventions that target impulse control difficulties when upset. (Journal of Dual Diagnosis, 11:107–117, 2015)
Keywords posttraumatic stress disorder, emotion dysregulation, alcohol-related consequences, sex differences
Trauma exposure and posttraumatic stress disorder (PTSD) are common among college students, and PTSD frequently co-occurs with other mental health disorders (American Psy- chiatric Association, 2013). One study found that in a large sample of undergraduate college students, 85% reported ex- periencing a past Criterion A traumatic event, and over the course of two months 21% had experienced another Criterion A trauma (Frazier et al., 2009). While prevalence estimates of PTSD among college students have varied, studies have shown that approximately 6% to 12% of students with a his- tory of trauma have sufficient symptoms of PTSD to elicit a diagnosis (Bernat, Ronfeldt, Calhoun, & Arias, 1998; Frazier et al., 2009).
1The University of Memphis, Memphis, Tennessee, USA 2Fellowship Health Resources, Inc., Durham, North Carolina, USA Address correspondence to Meghan E. McDevitt-Murphy, The University
of Memphis, 202 Psychology Building, Memphis, TN 38152, USA. E-mail: [email protected]
Alcohol use disorders are among the conditions most fre- quently comorbid with PTSD (Kessler, Sonnega, Bromet, Hughes, & Nelson, 1995). In one study, approximately two out of five students reported a binge episode (four or more drinks for women, five or more for men) in the past two weeks (O’Malley & Johnston, 2002). There are various negative con- sequences of alcohol use among college students, including motor vehicle accidents, risky sex, sexual assault, fights, phys- ical assaults, and fatalities (Hingson, Heeren, Winter, & Wech- sler, 2005).
While the reasons for the high rates of alcohol abuse in this population are numerous (e.g., increased freedom, less parental control, a change in social dynamics; Corbin, Iwamoto, & Fromme, 2011; Turrisi, Mastroleo, Mallett, Larimer, & Kilmer, 2007), one contributing factor may be the experience of psychological trauma. In a study of mostly female college students, symptoms of posttraumatic stress explained 55% of the variance in alcohol use (Edwards, Dunham, Ries, & Barnett, 2006). Another study found that students with PTSD
108 J. C. Tripp et al.
showed a more hazardous pattern of substance misuse than other students, even those meeting criteria for other diagnoses (McDevitt-Murphy, Murphy, Monahan, Flood, & Weathers, 2010). Some have speculated that alcohol use among individ- uals with PTSD is a form of “self-medication” (Leeies, Pagura, Sareen, & Bolton, 2010) and this may be true for some college students as well (Read, Merrill, Griffin, Bachrach, & Khan, 2014).
EMOTION REGULATION
PTSD has also been linked to emotion regulation difficulties (also referred to as “emotion dysregulation”; Boden et al., 2013; Price, Monson, Callahan, & Rodriguez, 2006). Emo- tion regulation is defined by Gratz and Roemer (2004) as an ability to refrain from impulsive behavior and engage in goal-directed behavior when experiencing negative emotions, acceptance of emotions, access to emotion regulation strate- gies perceived as effective, and understanding of emotions. Tull, Barrett, McMillan, and Roemer (2007) found that PTSD symptom severity was related to five facets of emotion dys- regulation: impulse control difficulties when upset, difficulties engaging in goal-directed behavior, nonacceptance of emo- tional reponses, lack of emotional clarity, and limited access to emotion regulation strategies. Weiss et al. (2012) found in a cross-sectional study that college students with probable PTSD reported significantly higher levels of emotion dysregulation relative to students without a history of trauma or those with a trauma history but not PTSD. Another cross-sectional study of retired police officers found that negative mood regulation, a construct similar to emotion dysregulation, was moderately associated with current PTSD severity. Adult PTSD severity was also found to mediate the relationship between childhood victimization and negative mood regulation, furthering evi- dence that PTSD symptoms may increase the likelihood of emotion dysregulation. A prospective study of individuals in treatment for PTSD found that baseline PTSD predicted future emotion dysregulation (Boden et al., 2013), indicating that the presence of PTSD symptoms may cause disruptions in overall emotional functioning beyond the symptoms alone. A treat- ment study of individuals with varying traumas and PTSD found that emotion dysregulation improved throughout the course of treatment, demonstrating that emotion dysregulation is possibly a consequence of PTSD (Jerud, Zoellner, Pruitt, & Feeney, 2014). Therefore, emotion dysregulation may be both a risk factor for (Boden et al., 2013; Lilly, London, & Bridgett, 2014) and a consequence of PTSD (Kulkarni, Pole, & Timko, 2013).
Emotion dysregulation has also been linked to alcohol- related consequences. In a sample of primarily female college students, negative mood regulation expectancies and problem drinking were strongly inversely correlated, indicating that students who had poorer emotion regulation skills were more likely to report problematic drinking (Kassel, Jackson, & Un-
rod, 2000). Furthermore, negative mood regulation expectan- cies explained unique variance in predicting problem drinking, even after accounting for age, gender, and alcohol consump- tion.
Drinking to cope with negative affect may explain elevated alcohol use in individuals experiencing distress (Khantzian, 1997). Those with PTSD may use alcohol to dampen trau- matic memories or “escape” from symptoms of PTSD (Brady, Back, & Coffey, 2004). Specifically within college students, individuals drank more on days characterized by higher anx- iety, and students were more likely to drink to cope on days when they experienced sadness. Further, drinking to cope has been shown to moderate the relationship between anxiety and alcohol consumption (O’Hara, Armell, & Tennen, 2014). Grayson and Nolen-Hoeksema (2005) found that drinking to regulate emotions (drinking to cope with negative emotions and to enhance positive emotions) mediated the relationship between distress and alcohol-related problems in a sample of individuals who survived childhood sexual assault. Other research has linked emotion dysregulation to alcohol-related consequences (Dvorak et al., 2014; Magar, Phillips, & Hosie, 2008).
Given that PTSD may contribute to worse emotion dys- regulation and that emotion dysregulation may contribute to substance misuse, we aimed to explore the role of emotion dysregulation as a mechanism explaining the relationship be- tween PTSD and alcohol misuse. As psychopathology has been shown to be a risk factor for emotion dysregulation, indi- viduals with PTSD may demonstrate poorer emotion regula- tion (Gross & Munoz, 1995). This emotion dysregulation may cause these individuals to misuse alcohol to alleviate negative emotionality.
SEX DIFFERENCES AMONG PTSD, EMOTION DYSREGULATION, ALCOHOL
CONSUMPTION, AND ALCOHOL-RELATED CONSEQUENCES
Research has shown gender differences in PTSD symptoms, emotion dysregulation, alcohol use, and alcohol-related con- sequences. Women are at a higher risk for PTSD following a traumatic event (Breslau, 2011; Kessler et al., 1995); however, men are more likely to report heavier alcohol consumption (Perkins, 2002) and more alcohol-related consequences (Ben- ton et al., 2004) than women. Men and women may have dif- ferent emotion regulation styles. In a study that examined emo- tion regulation in adolescents, girls had higher scores on four facets of emotion dysregulation than boys: lack of emotional clarity, difficulties engaging in goal-directed behaviors when distressed, nonacceptance of negative emotional responses, and limited access to emotion regulation strategies (Neumann, van Lier, Gratz, & Koot, 2010). Another study that exam- ined sex as a moderator in the relationship between PTSD and emotion dysregulation in African American college students
Journal of Dual Diagnosis
PTSD, Emotion Regulation, and Alcohol-Related Consequences 109
found that women with a probable diagnosis of PTSD reported higher levels of overall emotion dysregulation, impulse control difficulties when upset, limited access to emotion regulation strategies, and lack of emotional clarity than women without a possible diagnosis of PTSD. Of interest, emotion dysregu- lation was not related to a possible PTSD diagnosis for men, indicating that emotion dysregulation may play an important role in the development or maintenance of PTSD for women only (Weiss, Tull, Dixon-Gordon, & Gratz, 2014). Given the gender differences in each of these variables of interest, it is possible that the relationships between these variables would differ for men and women.
Study Aims
Prior research has shown that PTSD and alcohol-related con- sequences are often associated and that emotion dysregulation has been linked to both PTSD and alcohol-related conse- quences. Thus we investigated whether emotion dysregulation mediated the relationship between PTSD symptoms and haz- ardous drinking among college students who had experienced a traumatic event and currently used alcohol. Because negative affect is related to all of the variables of interest (Cohn, Hag- man, Moore, Mitchell, & Ehlke, 2014; Martens et al., 2008; Salsman & Linehan, 2012) and we were more interested in the ability to regulate emotion, not the negative emotion itself, we chose to adjust for the effects of negative affect in our mediation models. Given evidence of gender differences in each variable of interest, we also investigated the relationships among these variables by sex to examine any potential differ- ences between men and women. We chose a sample of college students, given the high rate of trauma exposure (Vrana & Lauterbach, 1994) and alcohol-related consequences (Weschler & Nelson, 2008) in this population. Young adults’ emotion regulation skills are still developing (Park, Edmond- son, & Lee, 2011), and PTSD symptoms and alcohol-related difficulties can interfere significantly with relationships and academic success (American Psychiatric Association, 2013; Perkins, 2002). We hypothesized that overall emotion dysregulation would mediate the relationship between PTSD and alcohol-related consequences, even after adjusting for the effects of negative affect. We conducted exploratory analyses for the various facets of emotion dysregulation. We anticipated unique results for men and women given evidence of gender differences in the variables of interest; however, specific pred- ications could not be made due to the novelty of this research.
METHODS
Participants and Procedure
Participants (N = 240) were adult undergraduate college stu- dents from introductory psychology courses at a large urban
university in the southeastern United States. Participants pro- vided informed consent and completed questionnaires via an online survey, and there originally were 1,070 individuals who completed the survey. Based on pilot testing and inspection of the distribution of completion times in the data set, individuals who completed the survey in less than 25 minutes (n = 215) were removed prior to analyses as this reflected a lower bound on valid completion of the battery. Individuals younger than 18 were also excluded (n = 22), as they were instructed not to complete the survey. We also excluded participants who did not report experiencing of a traumatic event meeting Criterion A in the DSM-IV criteria for PTSD (n = 58) and those who did not report alcohol use in the past 3 months (n = 535). We excluded recent alcohol abstainers, as past literature has documented an association between PTSD and alcohol-related consequences, but not consumption (McDevitt-Murphy et al., 2010), and we wanted to include only those who are active drinkers in order to accurately assess alcohol-related consequences and reduce a bias towards reporting no consequences. The resulting sam- ple was primarily female (70%, n = 168) with a mean age of 21.43 years (SD = 4.80). The majority of participants were Caucasian (60%, n = 145) or African American (29%, n = 69), while the remainder of participants were Hispanic or Latino (3%, n = 8), Asian (1%, n = 3), multiracial (2%, n = 4), Native Hawaiian or Pacific Islander or American Indian or Alaskan Native (< 1%, n = 1), or other (4%, n = 10). As this was an online survey, a description of the study was provided in writ- ing, and participants provided their consent before proceeding to the questionnaires. This study was conducted in accordance with the Declaration of Helsinki and the university institutional review board approved all procedures prior to conducting the study.
Measures
Trauma and PTSD Symptoms
Participants provided information about their traumatic ex- periences using the Life Events Checklist (LEC; Blake et al., 1995). Participants were asked to indicate whether they di- rectly experienced, witnessed, or learned about 17 poten- tially traumatic events. The PTSD Checklist-Specific (PCL-S; Weathers, Litz, Huska, & Keane, 1993) was used to assess past-month symptoms of PTSD. The PCL-S is a brief self- report inventory that corresponds to the DSM-IV criteria for PTSD (American Psychiatric Association, 2001). Items are rated on a scale from 1 (not at all) to 5 (extremely), with total scores ranging from 17 to 85. The stressor-specific version of the PCL asks people to respond with respect to a specific trau- matic experience. Participants were asked to respond to the PCL with respect to the “worst event” identified on the LEC. Internal consistency for the PCL in this sample was excellent (α = .93).
2015, Volume 11, Number 2
110 J. C. Tripp et al.
Alcohol Use
Participants’ alcohol use was assessed with a modified version of the Daily Drinking Questionnaire (DDQ; Collins, Parks, & Marlatt, 1985), which asks participants to record al- cohol use during a typical week in the past month and the heaviest drinking week within the last 3 months. We individu- ally summed the number of drinks consumed per day in both a typical drinking week in the past month and heaviest drinking week in the past 3 months. This version of the measure has been widely used to assess alcohol consumption in college student samples (Marlatt et al., 1998; Murphy et al., 2004)
Alcohol-Related Consequences
The Young Adult Alcohol Consequence Questionnaire (YAACQ; Kahler, Strong, & Read, 2005) is a 48-item measure that assesses eight domains of alcohol-related consequences: social/interpersonal, academic/occupational, risky behavior, impaired control, poor self-care, diminished self-perception, blackout drinking, and physiological dependence. Participants were asked to rate each item using a dichotomous “yes/no” format to indicate whether they had ever experienced each problem as a result of using alcohol. Cronbach’s alpha in this sample was .94.
Emotion Dysregulation
Self-reported emotion dysregulation was assessed with the 36-item Difficulties in Emotion Regulation Scale (DERS; Gratz & Roemer, 2004). Each of the six subscales assesses a different aspect of emotion dysregulation: impulse control difficulties when upset (IMPULSE; α = .85), difficulties en- gaging in goal-directed behavior (GOALS; α = .87), nonac- ceptance of emotional responses (NONACCEPT; α = .89), lack of emotional clarity (CLARITY; α = .81), limited access to emotion regulation strategies (STRATEGIES; α = .86), and lack of emotional awareness (AWARE; α = .86). Items are scaled from 1 (almost never) to 5 (almost always). After reverse-scoring some items, items may be summed to create a score from 36 to 180, with higher scores indicating higher emotion regulation deficits. Cronbach’s alpha for the full scale for this sample was .93.
Negative Affect
To measure negative affect we used the Positive and Nega- tive Affect Schedule–Negative Affect scale (PANAS-NA; Wat- son, Clark, & Tellegen, 1988). This is a 10-item scale that measures different aspects of negative affect such as feelings of guilt, hostility, and nervousness within the past week. The PANAS has been validated in a college student sample (Wat-
son et al., 1988), and Cronbach’s alpha for the Negative Affect scale for this sample was .89.
Data Analysis Plan
Prior to conducting our analyses, we inspected the distribu- tional properties of all variables. Using Tabachnick and Fidell’s (2007) recommendation we corrected any outliers, defined as 3.29 standard deviations above the mean, by assigning a new value that was one value above the most extreme non-outlier value. The first set of analyses was to examine the zero-order correlations among the key variables of interest: PTSD symp- toms, emotion dysregulation, alcohol use, and alcohol related consequences. Next, we examined the indirect effects by calcu- lating bias-corrected 95% confidence interval using bootstrap- ping, which makes no assumptions about the sampling dis- tribution of the indirect effect (Hayes, 2013). The PROCESS procedure outlined by Hayes (2013) provided estimates of the indirect effect of PTSD on problematic alcohol use through emotion dysregulation subscales while adjusting for negative affect. A nonparametric bootstrap method of 5,000 samples us- ing a confidence interval of 95% was used to test the indirect effect of PTSD symptoms on alcohol-related consequences through the pathway of the six dimensions of emotion dysreg- ulation simultaneously. Significant findings were indicated by a 95% confidence interval that excluded the value zero. We repeated this procedure within men and women separately.
RESULTS
Participants were asked to select the “worst” trauma they had experienced, with transportation accident (n = 44, 18%) being the most frequent, followed by sudden, unexpected death of a loved one (n = 29, 12%), sudden, violent death (n = 27, 11%), sexual assault (n = 24, 10%), physical assault (n = 21, 9%), severe human suffering (n = 21, 9%), life-threatening illness or injury (n =16, 7%), assault with a weapon (n = 15, 6%), natural disaster (n = 13, 5%), “other” stressful even or experi- ence (n = 12, 5%), serious accident (n = 5, 2%), fire/explosion (n = 3, 1%), captivity n = 2, 1%), other unwanted sexual experience (n =1, < 1%), and combat or exposure to a war zone (n =1, < 1%). There were 6 (3%) individuals who did not report their worst trauma. Table 1 shows a list of means and standard deviations for PCL-S, DERS, and alcohol variables for the full sample and separately by sex. Forty (16%) individuals who completed PCL-S were above the pre- liminary suggested cutpoint of 44 for a positive PTSD finding (Ruggiero, Del Ben, Scotti, & Rabalais, 2003). The average DERS score in this sample (88.16 for women; 84.97 for men) was slightly higher than the score Gratz and Roemer (2004) reported in their validation study of the DERS (77.99 for women; 80.66 for men), although this may be due to the fact that the current sample was trauma-exposed while the former
Journal of Dual Diagnosis
PTSD, Emotion Regulation, and Alcohol-Related Consequences 111
TABLE 1 Means and Standard Deviations of Demographics, PTSD Symptoms, Emotion Dysregulation, Alcohol Variables, and Negative Affect and Differences by Sex
Full Sample Women Men (N = 240) (n = 168) (n = 72)
Measure M (SD) M (SD) M (SD) t df
Age (years) 21.43 (4.80) 21.52 (5.08) 21.24 (4.11) −.42 235 PCL-S 28.61 (12.08) 32.27 (13.93) 27.53 (11.09) −2.58∗ 231 DERS 87.45 (16.92) 88.16 (17.45) 84.97 (15.85) −1.50 234 DERS-IMPULSE 11.91 (3.58) 11.95 (3.73) 11.82 (3.23) −.15 234 DERS-GOALS 13.05 (3.92) 13.20 (3.81) 12.71 (4.19) −.88 234 DERS-NONACCEPT 11.67 (5.37) 11.78 (5.82) 11.42 (4.17) −.53 181.26 DERS-CLARITY 12.91 (2.26) 12.90 (2.19) 12.94 (2.44) .10 124.98 DERS-STRATEGIES 16.66 (5.25) 16.98 (5.47) 15.93 (4.67) −1.41 234 DERS-AWARENESS 21.27 (5.50) 21.74 (5.25) 20.19 (5.93) −2.00∗ 234 YAACQ 8.51 (8.45) 7.93 (8.30) 9.88 (8.70) 1.64 237 DDQ quantity-typical 7.61 (8.46) 6.31 (6.84) 10.60 (10.83) 3.69∗∗∗ 236 DDQ quantity-heavy 14.39 (15.15) 12.04 (13.26) 19.89 (17.75) 3.78∗∗∗ 238 PANAS-NA 20.07 (7.78) 20.41 (7.98) 19.29 (7.30) −1.02 232
Note. PCL-S = PTSD Checklist Stressor Specific; DERS = Difficulties in Emotion Regulation Scale; IMPULSE = Impulse Control Difficulties; GOALS = Difficulties Engaging in Goal-Directed Behavior; NONACCEPT = Nonacceptance of Emotional Responses; CLARITY = Lack of Emotional Clarity; STRATEGIES = Limited Access to Emotion Regulation Strategies; AWARE = Lack of Emotional Awareness YAACQ = Young Adult Alcohol Consequences Questionnaire; DDQ = Daily Drinking Questionnaire; PANAS-NA = Positive and Negative Affect Scale-Negative Affect.
Asterisks indicate significant differences between men and women: ∗p < .05; ∗∗p < .01; ∗∗∗p < .001.
was not. T -tests showed differences between sexes on several variables, with women endorsing higher scores on PCL-S [M = 32.27, SD = 13.93, t (231 = −2.58, p < .05, two-tailed] than men (M = 27.53, SD = 11.09), and women also reported significantly higher scores on lack of emotional awareness [M = 21.74, SD = 5.25, t (234) = −2.00, p < .05, two-tailed] than men (M = 20.19, SD = 5.93). Men reported significantly higher scores on DDQ quantity-typical [M = 10.60 SD = 10.83, t (236) = 3.69, p < .001, two-tailed] than women (M = 6.31, SD = 6.84). Men also reported significantly higher scores on DDQ quantity-heavy [M = 19.89, SD = 17.75, t (238) = 3.78, p < .001, two-tailed] than women (M = 12.04, SD = 13.26).
Correlation coefficients were computed to determine the associations among the DERS total, DERS subscales, PCL- S, DDQ, YAACQ, and PANAS-NA (Table 2). All DERS total and subscales were significantly and positively correlated (p < .05) with one another with the exception of lack of emotional awareness, which was not significantly correlated with three other subscales and was inversely correlated with nonaccep- tance of emotional responses (r = −.12, p = .01). PCL-S score was positively correlated with YAACQ and PANAS-NA, but not typical or heaviest-week drinking. DERS was positively correlated with YAACQ but not typical or heavy-week drink- ing from the DDQ. PANAS-NA was correlated with DERS and DERS subscales, with the exception of AWARE. PANAS- NA was correlated with YAACQ and DDQ quantity-heavy but not DDQ quantity-typical. All DERS subscales other than AWARE and CLARITY were significantly correlated with YAACQ scores. Given these correlations, the mediation anal- yses used YAACQ scores instead of DDQ scores as the depen- dent variable.
Next, we examined the relationship between PCL-S and YAACQ through the pathway of emotion dysregulation us- ing the PROCESS multiple mediators analyses (Hayes, 2013). The DERS subscales were simultaneously tested as mediators of the relationship between PCL-S and YAACQ using 5,000 bootstrap samples and the models controlled for PANAS-NA. Results of these analyses are presented in Table 3. PCL-S had an indirect effect on YAACQ through two of the six DERS sub- scales: impulse control difficulties and difficulties in engaging in goal-directed behavior.
To determine whether sex differences existed, the same analyses were conducted with the sample split by sex. For men, the indirect path through impulse control difficulties was significant (Table 4); whereas for women, the path through dif- ficulties in engaging in goal-directed behavior was significant (Table 5).
DISCUSSION
The purpose of the present research was to investigate the relationships among PTSD symptoms, alcohol-related con- sequences, and facets of emotion dysregulation. Specifically, we examined whether multiple types of emotion dysregula- tion mediated the relationship between PTSD symptoms and alcohol-related consequences after adjusting for the effects of negative affect in a sample of trauma-exposed undergraduate students. We also investigated sex differences in these relation- ships. We found only one difference between sexes in emotion dysregulation, with women scoring higher on lack of emo- tional awareness. These findings differ from Gratz and Roe- mer’s (2004) study that found that men scored higher on only lack of emotional awareness and also another previous study
2015, Volume 11, Number 2
112 J. C. Tripp et al.
TABLE 2 Correlations Between Emotion Dysregulation, PTSD Symptoms, Alcohol Variables, and Negative Affect
Measure 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12.
1. DERS total .72∗∗∗ .74∗∗∗ .72∗∗∗ .49∗∗∗ .87∗∗∗ .35∗∗∗ .53∗∗ .25∗∗ .05 .01 .57∗∗ 2. DERS-IMPULSE — .42∗∗∗ .50∗∗∗ .27∗∗∗∗ .67∗∗∗ .02 .42∗∗ .26∗∗ .06 −.05 .50∗∗ 3. DERS-GOALS — — .48∗∗∗ .20∗∗∗ .65∗∗∗ .12 .38∗∗ .29∗∗ .11 .07 .46∗∗ 4. DERS-NONACCEPT — — — .23∗∗∗ .70∗∗∗ −.12∗ .47∗∗ .26∗∗ .07 .01 .57∗∗ 5. DERS-CLARITY –– — — — .30∗∗∗ .25∗∗∗ .15∗ .10 .13∗ .02 .24∗∗ 6. DERS-STRATEGIES — — — — — .04 .59∗∗ .22∗∗ .03 .01 .59∗∗ 7. DERS-AWARE — — — — — — −.07 −.12 −.10 −.01 .09 8. PCL-S — — — — — — — .20∗∗ .10 .15 .45∗∗ 9. YAACQ — — — — — — — — .38∗∗∗ .51∗∗∗ .26∗∗
10. DDQ-typical — — — — — — — — — .89∗∗∗ .09 11. DDQ-heavy — — — — — — — — — — .13∗ 12. PANAS-NA — — — — — — — — — — —
Note. PCL-S = PTSD Checklist Stressor Specific; YAACQ = Young Adult Alcohol Consequences Questionnaire; DDQ = Daily Drinking Questionnaire; DERS = Difficulties in Emotion Regulation Scale; IMPULSE = Impulse Control Difficulties; GOALS = Difficulties Engaging in Goal-Directed Behavior; NONACCEPT = Nonacceptance of Emotional Responses; CLARITY = Lack of Emotional Clarity; STRATEGIES = Limited Access to Emotion Regulation Strategies; AWARE = Lack of Emotional Awareness; PANAS-NA = Positive and Negative Affect Scale-Negative Affect.
∗p < .05; ∗∗p < .01; ∗∗∗p < .001.
TABLE 3 Summary of Mediation Analysis on the Full Sample (5,000 Bootstrap Samples; n = 231) With Each DERS Subscale Tested Simultaneously While Adjusting
for Negative Affect
Independent Variable (IV) Mediating Variable (M) Dependent Variable Coefficient SE 95% CI
PCL-S — YAACQ .09 .10 [−.109, .297] PCL-S IMPULSE YAACQ .05 .03 [.002, .111]∗ PCL-S GOALS YAACQ .07 .02 [.028, .121]∗ PCL-S NONACCEPT YAACQ .04 .03 [−.020, .109] PCL-S CLARITY YAACQ .00 .01 [−.004, .031] PCL-S STRATEGIES YAACQ −.09 .05 [−.195, .005] PCL-S AWARE YAACQ .01 .01 [−.004, .025]
Note. CI = confidence interval; PCL-S = PTSD Checklist Stressor Specific; DERS = Difficulties in Emotion Regulation Scale; YAACQ = Young Adult Alcohol Consequences Questionnaire; IMPULSE = Impulse Control Difficulties; GOALS = Difficulties Engaging in Goal-Directed Behavior; NONACCEPT = Nonacceptance of Emotional Responses; CLARITY = Lack of Emotional Clarity; STRATEGIES = Limited Access to Emotion Regulation Strategies; AWARE = Lack of Emotional Awareness.
∗Statistical significance determined by confidence intervals excluding zero.
TABLE 4 Summary of Mediation Analysis for Men (5,000 Bootstrap Samples; n = 701) With Each DERS Subscale Tested Simultaneously While Adjusting for
Negative Affect
Independent Variable Mediating Variable Dependent Variable Coefficient SE 95% CI
PCL-S — YAACQ .09 .10 [−.109, .297] PCL-S IMPULSE YAACQ .11 .07 [.012, .293]∗ PCL-S GOALS YAACQ .01 .04 [−.044, .107] PCL-S NONACCEPT YAACQ .02 .03 [−.017, .137] PCL-S CLARITY YAACQ .00 .03 [−.341, .088] PCL-S STRATEGIES YAACQ −.08 .07 [−.293, .027] PCL-S AWARE YAACQ .01 .02 [−.021, .082]
Note. PCL-S = PTSD Checklist Stressor Specific; DERS = Difficulties in Emotion Regulation Scale; YAACQ = Young Adult Alcohol Consequences Questionnaire; IMPULSE = Impulse Control Difficulties; GOALS = Difficulties Engaging in Goal-Directed Behavior; NONACCEPT = Nonacceptance of Emotional Responses; CLARITY = Lack of Emotional Clarity; STRATEGIES = Limited Access to Emotion Regulation Strategies; AWARE = Lack of Emotional Awareness.
1Sample size reduced due to missing data on some variables. ∗Statistical significance determined by confidence intervals excluding zero.
Journal of Dual Diagnosis
PTSD, Emotion Regulation, and Alcohol-Related Consequences 113
TABLE 5 Summary of Mediation Analysis for Women (5,000 Bootstrap Samples; n = 1611) With Each DERS Subscale Tested Simultaneously While Adjusting for
Negative Affect
Independent Variable (IV) Mediating Variable (M) Dependent Variable Coefficient SE 95% CI
PCL-S — YAACQ .04 .06 [−.084 , .165] PCL-S IMPULSE YAACQ .02 .04 [−.045, .096] PCL-S GOALS YAACQ .10 .03 [.044, .176]∗ PCL-S NONACCEPTANCE YAACQ .01 .04 [−.077, .088] PCL-S CLARITY YAACQ .00 .01 [−.011, .020] PCL-S STRATEGIES YAACQ −.05 .07 [−.187, .076] PCL-S AWARE YAACQ .01 .01 [−.006, .034]
Note. PCL-S = PTSD Checklist Stressor Specific; DERS = Difficulties in Emotion Regulation Scale; YAACQ = Young Adult Alcohol Consequences Questionnaire; IMPULSE = Impulse Control Difficulties; GOALS = Difficulties Engaging in Goal-Directed Behavior; NONACCEPT = Nonacceptance of Emotional Responses; CLARITY = Lack of Emotional Clarity; STRATEGIES = Limited Access to Emotion Regulation Strategies; AWARE = Lack of Emotional Awareness.
1Sample size reduced due to missing data on some variables. ∗Statistical significance determined by confidence intervals excluding zero.
that found that adolescent females scored higher on four of six emotion dysregulation dimensions (Neumann et al., 2010).
PTSD was associated with alcohol-related consequences, which is consistent with previous research (Read et al., 2012). Also consistent with prior research (Weiss, Tull, Lavender, & Gratz, 2013; Weiss et al., 2012), we found a positive re- lationship between PTSD symptoms and emotion dysregula- tion, and this was true for five of the six subscales: Impulse control difficulties when upset, difficulties engaging in goal di- rected behavior, nonacceptance of emotional responses, lack of emotional clarity, and limited access of emotion regulation strategies. Typical-week drinking was only correlated with one aspect of emotion dysregulation, lack of emotional clarity, al- though this was a weak correlation (r = .13). Heaviest-week drinking was not associated with any aspects of emotion dys- regulation. The scale assessing alcohol-related consequences was correlated with nearly every aspect of emotion dysreg- ulation. PTSD and emotion dysregulation showed stronger relationships to alcohol-related consequences than to typical alcohol consumption. It is possible that PTSD and emotion regulation deficits are more related to drinking to cope with negative mood states, which may be characterized by episodes of binge drinking, than to typical-week drinking (which may be more influenced by social factors). Drinking for coping rea- sons has previously been demonstrated to be associated with a riskier pattern of drinking (Kuntsche, Knibbe, Gmel, & Engels, 2005). It is also possible that students with higher symptom levels are more vulnerable to the negative consequences of heavy drinking, perhaps due to engaging in impulsive behav- ior while drinking.
Looking more specifically at facets of emotion dysregula- tion, PTSD symptoms had an indirect effect on alcohol-related consequences through impulse control difficulties and diffi- culties engaging in goal-directed behavior in the full sample. When we examined men and women separately, impulse con- trol difficulties remained significant only for men. Men with
higher PTSD symptoms may have a higher level of impulsivity that leads to reckless behaviors such as risky alcohol use. For example, one study found that impulsivity mediated the rela- tionship between gender and risk for alcohol problems, in that men had higher levels of motor impulsivity that accounted for the significant difference between genders in alcohol problems (Stoltenberg, Batien, & Birgenheir, 2008). Our findings are consistent with other research that has linked trauma, impulsiv- ity, and alcohol-related consequences (Marshall-Berenz, Vu- janovic, & MacPherson, 2011; Weiss, Tull, Anestis, & Gratz, 2013), although much of the existing literature uses a def- inition of impulsivity that includes sensation seeking, lack of perseverance of behaviors, urgency, and lack of premed- itation, and this study refers to impulse control with respect to emotion regulation (difficulty remaining in control of be- haviors when emotionally upset). It is important to note that urgency, or engaging in impulsive behaviors when experienc- ing negative affect, and impulse control difficulties are very similar constructs, and urgency may be higher in individuals with PTSD (Weiss, Tull, Anestis et al., 2013). Of interest, for women impulse control difficulties when upset did not mediate the relationship between PTSD symptoms and alcohol-related consequences when all subscales were tested simultaneously, which is inconsistent with findings from research done in clin- ical samples (Weiss, Tull, Anestis et al., 2013). It is possi- ble that for our sample, which was a college-attending and non–treatment-seeking group, difficulties controlling impulses when upset play less of a role in alcohol-related consequences than in individuals seeking treatment.
Difficulties engaging in goal-directed behavior also medi- ated the relationship between PTSD symptoms and alcohol- related consequences in the full sample, and these results remained significant for women when the sample was split by sex. It is possible that for women, PTSD symptoms, es- pecially “difficulty concentrating,” interferes with motivation to attend to tasks when distressed. Conversely, alcohol use
2015, Volume 11, Number 2
114 J. C. Tripp et al.
provides short-term symptom reduction. For women strug- gling with intense negative affect who have difficulty con- ceiving and tracking even short-term goals, a pattern of risky alcohol use could develop due to the immediate relief it pro- vides. Past research has found relationships between PTSD hyperarousal symptoms (which includes difficulty concentrat- ing) and alcohol consumption (Duranceau, Fetzner, & Car- leton, 2014). Further, in that study distress tolerance had an indirect effect on alcohol consumption through the pathway of hyperarousal symptoms. These findings are somewhat consis- tent with the present findings, indicating that individuals with poor coping skills may be led to use alcohol in the face of dif- ficulties with hyperarousal or goal achievement. Experimental studies have also shown evidence of a temporal relationship between state distractibility, a component of self-control, to alcohol consumption. For example, one study found that when male social drinkers were given a reason to restrict their al- cohol consumption (due to a future driving test), those whose self-control resources were depleted through instructions to suppress thoughts about a white bear consumed more alcohol than a control group who were instructed to complete arith- metic problems (Muraven, Collins, & Neinhaus, 2002). These findings provide evidence that those individuals who demon- strate lower self-control via distractibility, as may be the case in individuals with PTSD who have difficulty concentrating and completing tasks, may be more likely to engage in risky alcohol consumption.
Four facets of emotion dysregulation did not function as mediators of the relationship between PTSD and alcohol- related consequences in the full sample when all subscales were tested simultaneously: Nonacceptance of emotional re- sponses, lack of emotional clarity, limited access to emotion regulation strategies, and lack of emotional awareness. These dimensions of emotion dysregulation may not impact the re- lationship between PTSD symptoms and alcohol-related con- sequences among trauma-exposed undergraduate students or they may not impact the relationship when considered with other emotion regulation facets.
This manuscript sheds light on some of the factors that may contribute to risky drinking among college students, which is an important public health problem (Wechsler, Lee, Kuo, & Lee, 2000). These findings are consistent with prior research linking emotion dysregulation to PTSD, suggesting that indi- viduals with PTSD symptoms and emotion dysregulation may use alcohol as a coping mechanism, possibly leading to prob- lems from alcohol use (Corbin, Farmer, & Nolen-Hoekesma, 2013; Martens et al., 2008). Prior research has shown relation- ships between emotion dysregulation and alcohol use (Axel- rod, Perepletchikova, Holtzman, & Sinha, 2011; Berking et al., 2011; Fox, Hong, & Sinha, 2008; Weiss, Tull, Viana, Anestis & Gratz, 2012). Our findings diverge from a previous study that found that emotion dysregulation did not mediate the relation- ship between PTSD and alcohol misuse in a sample of active duty, pre-deployment military service members (Klemanski, Mennin, Borelli, Morrissey, & Aikins, 2012). It is possible
that Klemanski et al. did not find the same mediational ef- fect for alcohol misuse because the study excluded individuals with substance abuse or dependence, while the current study did not have this exclusion criterion. It is also possible that these related constructs, alcohol misuse (i.e., both symptoms and consequences of alcohol abuse) and alcohol use conse- quences (i.e., social, academic/occupational, impaired control due to alcohol use), are unique enough to yield different re- sults. Further, another discrepancy is that the previous study examined DERS total score as a mediator rather than DERS subscales, and it is possible that an examination of each DERS subscale may have lead to more findings. Their findings still suggest that the presence of PTSD and emotion dysregulation may lead to poorer outcomes. Our findings also suggest that risky drinking in college students with a trauma history may manifest differently by sex. It is possible that trauma-exposed men with PTSD symptoms display higher levels of external- izing behaviors (e.g., impulse control difficulties), while for women PTSD may be associated with internalizing behavior (e.g., difficulties with goal-directed behavior) but that both of these lead to alcohol-related consequences. This is consistent with past research that has found that men are more likely to display externalized behavior, while women display inter- nalized behavior (Leadbeater, Kuperminc, Blatt, & Hertzog, 1999).
It is important to note that there are several limitations to the current research. PTSD symptoms were measured with a self-report questionnaire rather than a diagnostic interview, limiting our ability to draw conclusions about individuals who meet diagnostic criteria for PTSD. This concern is tempered by the fact that the PCL has shown exceptional psychome- tric characteristics in a broad range of populations (Blan- chard, Jones-Alexander, Buckley, & Forneris, 1996; Bollinger, Cuevas, Vielhauer, Morgan, & Keane, 2008; Wilkins, Lang, & Norman, 2011), including college students (Adkins, Weath- ers, McDevitt-Murphy, & Daniels, 2008). The cross-sectional nature of the data limited us from examining change over time or directional relationships. We also used a sample of college students with a trauma history who reported alcohol use during the previous three months, and these findings may not generalize to different populations. To better understand these relationships, future research should include longitudinal designs so that the temporal implications of the meditational model could be examined. As the current study did not in- clude a measure of alcohol as self-medication, or drinking to cope, we were unable to conclude whether emotion dysregu- lation mediates the relationship between PTSD and drinking to cope. Future studies should examine whether drinking to cope does in fact show similar associations with PTSD and emotion dysregulation. Additionally, it would be informative to use structured interview measures of all of the constructs in order to gather more descriptive information and determine whether these relationships differ in more severe populations. Although our subsample size of 70 examining mediation in men was small for many analyses, this was well over the
Journal of Dual Diagnosis
PTSD, Emotion Regulation, and Alcohol-Related Consequences 115
suggested minimum of 25 for bootstrapping mediation (Preacher & Hayes, 2004). There were also a large number of individuals who were excluded for completing the survey too quickly. It is possible that these individuals may have dif- fered from individuals who spent more than 25 minutes on the survey (e.g., greater psychopathology); therefore, it is a limi- tation that we did not compare those individuals we excluded. Last, we did not compare effect size differences between men and women in this study; therefore, we do not have a clear un- derstanding on the exact sex differences in these meditational models.
There are several clinical implications of our findings. It may be important to assess for PTSD symptoms, alcohol use, alcohol-related consequences, and emotion regulation skills in individuals presenting for treatment with a history of trauma. Teaching individuals who have been exposed to trauma strate- gies for impulse control and focusing on goal-directed behav- ior when distressed may help those with PTSD symptoms and alcohol-related consequences as these domains may be related. In fact, emotion regulation treatments have been shown to ef- fectively improve PTSD symptoms (e.g., Skills Training in Affect and Interpersonal Regulation; Cloitre, Koenen, Cohen, & Han, 2002) and risky behaviors (e.g., deliberate self-harm; Gratz, Levy, & Tull, 2012); therefore, these treatments may reduce both PTSD symptoms and risky alcohol use in college students with these co-occurring problems. Women with PTSD symptoms may have difficulty reaching short-term goals, as well as concentrating and completing tasks, and distress as- sociated with this may lead to alcohol-related consequences. Men with PTSD symptoms may have impulse control difficul- ties, which results in more alcohol-related problems. Providing individuals with PTSD symptoms with tools to accept and reg- ulate negative emotional states may lead to healthier coping styles that do not include alcohol.
DISCLOSURES
Ms. Tripp, Dr. McDevitt-Murphy, Ms. Avery, and Dr. Bracken report no financial relationship with commercial interests and, outside of the listed affiliations and acknowledged grant fund- ing, have no additional income to report. Within the past three years, Ms. Tripp has been employed by the University of Memphis and Department of Veterans Affairs. Dr. McDevitt- Murphy has been employed by University of Memphis. Ms. Avery has received funding from the University of Memphis and the Bureau of Prisons. Dr. Bracken has been employed by Fellowship Health Resources, the Bureau of Prisons, and the University of Memphis.
FUNDING
This material is based on work funded by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) #K23AA016120 awarded to Meghan McDevitt-Murphy, PhD.
REFERENCES
Adkins, J. W., Weathers, F. W., McDevitt-Murphy, M., & Daniels, J. B. (2008). Psychometric properties of seven self-report measures of posttraumatic stress disorder in college students with mixed civilian trauma exposure. Journal of Anxiety Disorders, 22(8), 1393–1402. doi: 10.1016/j.janxdis.2008.02.002
American Psychiatric Association. (2001). Diagnostic and statistical manual of mental disorders (4th ed., Text Revision). Washington, DC: Author.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: Author.
Axelrod, S. R., Perepletchikova, F., Holtzman, K., & Sinha, R. (2011). Emo- tion regulation and substance use frequency in women with substance dependence and borderline personality disorder receiving dialectical be- havior therapy. The American Journal of Drug and Alcohol Abuse, 37(1), 37–42. doi: 10.3109/00952990.2010.535582
Benton, S. L., Schmidt, J. L., Newton, F. B., Shin, K., Benton, S. A., & Newton, D. W. (2004). College student protective strategies and drinking consequences. Journal of Studies on Alcohol, 65, 115–121.
Berking, M., Margraf, M., Ebert, D., Wupperman, P., Hofmann, S. G., & Junghanns, K. (2011). Deficits in emotion-regulation skills predict alco- hol use during and after cognitive-behavioral therapy for alcohol depen- dence. Journal of Consulting and Clinical Psychology, 79(3), 307–318. doi: 10.1037/a0023421
Bernat, J. A., Ronfeldt, H. M., Calhoun, K. S., & Arias, I. (1998). Prevalence of traumatic events and peritraumatic predic- tors of posttraumatic stress symptoms in a nonclinical sample of college students. Journal of Traumatic Stress, 11(4), 645–664. doi:10.1023/A:1024485130934:1024485130934
Blake, D. D., Weathers, F. W., Nagy, L. M., Katoupek, D. G., Gusman, F. D., Charney, D. S., & Keane, T. M. (1995). The development of a Clinician- Administered PTSD Scale. Journal of Traumatic Stress, 8(1), 75–90.
Blanchard, E. B., Jones-Alexander, J., Buckley, T. C., & Forneris, C. A. (1996). Psychometric properties of the PTSD checklist (PCL). Behaviour Research and Therapy, 34(8), 669–673. doi: 10.1016/0005-7967(96) 00033-2
Boden, M., Westermann, S., McRae, K., Kuo, J., Alvarez, J., Kulkarni, M. R., & . . . Bonn-Miller, M. O. (2013). Emotion regulation and posttraumatic stress disorder: A prospective investigation. Journal of Social and Clinical Psychology, 32(3), 296–314.
Bollinger, A. R., Cuevas, C. A., Vielhauer, M. J., Morgan, E. E., & Keane, T. M. (2008). The operating characteristics of the PTSD Checklist in detecting PTSD in HIV + substance abusers. Journal of Psychological Trauma, 7(4), 213–234. doi: 10.1080/19322880802384251
Brady, K. T., Back, S. E., & Coffey, S. F. (2004). Substance abuse and post- traumatic stress disorder. Current Directions in Psychological Science, 13(5), 206–209. doi: 10.1111/j.0963-7214.2004.00309.x
Breslau, N. (2002). Gender differences in trauma and posttraumatic stress disorder. The Journal of Gender-Specific Medicine, 5(1), 34–40.
Cloitre, M., Koenen, K. C., Cohen, L. R., & Han, H. (2002). Skills training in affective and interpersonal regulation followed by exposure: A phase- based treatment for PTSD related to childhood abuse. Journal of Con- sulting and Clinical Psychology, 70(5), 1067–1074. doi: 10.1037/0022- 006X.70.5.1067
Cohn, A., Hagman, B. T., Moore, K., Mitchell, J., & Ehlke, S. (2014). Does negative affect mediate the relationship between daily PTSD symptoms and daily alcohol involvement in female rape victims? Evidence from 14 days of interactive voice response assessment. Psychology of Addictive Behaviors, 28(1), 114–126. doi: 10.1037/a0035725
Collins, R. L., Parks, G. A., & Marlatt, G. A. (1985). Social determinants of alcohol consumption: The effects of social interaction and model status on the self-administration of alcohol. Journal of Consulting and Clinical Psychology, 53(2), 189–200. doi: 10.1037/0022-006X.52.2.198
Corbin, W. R., Farmer, N. M., & Nolen-Hoekesma, S. (2013). Relations among stress, coping strategies, coping motives, alcohol consumption and related
2015, Volume 11, Number 2
116 J. C. Tripp et al.
problems: A mediated moderation model. Addictive Behaviors, 38(4), 1912–1919. doi: 10.1016/j.addbeh.2012.12.005
Corbin, W. R., Iwamoto, D. K., & Fromme, K. (2011). Broad social mo- tives, alcohol use, and related problems: Mechanisms of risk from high school through college. Addictive Behaviors, 36(3), 222–230. doi: 10.1016/j.addbeh.2010.11.004
Duranceau, S., Fetzner, M. G., & Carleton, R. N. (2014). Low distress toler- ance and hyperarousal posttraumatic stress disorder symptoms: A path- way to alcohol use? Cognitive Therapy and Research, 38(3), 280–290. doi: 10.1007/s10608-013-9591-7
Dvorak, R. D., Sargent, E. M., Kilwein, T. M., Stevenson, B. L., Ku- vaas, N. J., & Williams, T. J. (2014). Alcohol use and alcohol-related consequences: Associations with emotion regulation difficulties. The American Journal of Drug and Alcohol Abuse, 40(2), 125–130. doi: 10.3109/00952990.2013.877920
Edwards, C., Dunham, D. N., Ries, A., & Barnett, J. (2006). Symptoms of trau- matic stress and substance use in a non-clinical sample of young adults. Ad- dictive Behaviors, 31(11), 2094–2104. doi: 10.1016/j.addbeh.2006.02.009
Fox, H. C., Hong, K. A., & Sinha, R. R. (2008). Difficulties in emotion regulation and impulse control in recently abstinent alcoholics com- pared with social drinkers. Addictive Behaviors, 33(2), 388–394. doi: 10.1016/j.addbeh.2007.10.002
Frazier, P., Anders, S., Perera, S., Tomich, P., Tennen, H., Park, C., & Tashiro, T. (2009). Traumatic events among undergraduate students: Prevalence and associated symptoms. Journal of Counseling Psychology, 56(3), 450– 460. doi: 10.1037/a0016412
Gratz, K. L., Levy, R., & Tull, M. T. (2012). Emotion regulation as a mecha- nism of change in an acceptance-based emotion regulation group ther- apy for deliberate self-harm among women with borderline personal- ity pathology. Journal of Cognitive Psychotherapy, 26(4), 365–380. doi: 10.1891/0889-8391.26.4.365
Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the difficulties in emotion regulation scale. Journal of Psychopathology and Behavioral Assessment, 26(1), 41–54. doi:10.1023/B:JOBA.0000007455.08539.94JOBA.0000007455.08539. 94
Grayson, C. E., & Nolen-Hoeksema, S. (2005). Motives to drink as mediators between childhood sexual assault and alcohol problems in adult women. Journal of Traumatic Stress, 18(2), 137–145. doi: 10.1002/jts.20021
Gross, J. J., & Muñoz, R. F. (1995). Emotion regulation and mental health. Clinical Psychology: Science and Practice, 2(2), 151–164. doi: 10.1111/j.1468-2850.1995.tb00036.x
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
Hingson, R., Heeren, T., Winter, M., & Wechsler, H. (2005). Magnitude of alcohol-related mortality and morbidity among U.S. college students ages 18–24: Changes from 1998 to 2001. Annual Review of Public Health, 26, 259–279. doi: 10.1146/annurev.publhealth.26.021304.144652
Jerud, A. B., Zoellner, L. A., Pruitt, L. D., & Feeny, N. C. (2014). Changes in emotion regulation in adults with and without a history of childhood abuse following posttraumatic stress disorder treatment. Journal of Consulting and Clinical Psychology, 82(4), 721–730. doi: 10.1037/a0036520
Kahler, C. W., Strong, D. R., & Read, J. P. (2005). Toward efficient and comprehensive measurement of the alcohol problems continuum in college students: The Brief Young Adult Alcohol Consequences Questionnaire. Alcoholism: Clinical and Experimental Research, 29(7), 1180–1189. doi: 10.1097/01.ALC.0000171940.95813.A5
Kassel, J. D., Jackson, S. I., & Unrod, M. (2000). Generalized expectan- cies for negative mood regulation and problem drinking among college students. Journal of Studies on Alcohol, 61(2), 332–340.
Kessler, R. C., Sonnega, A., Bromet, E., Hughes, M., & Nelson, C. B. (1995). Posttraumatic stress disorder in the National Comorbidity Survey. Archives of General Psychiatry, 52(12), 1048–1060.
Khantzian, E. J. (1997). The self-medication hypothesis of substance use disorders: A reconsideration and recent applications. Harvard Review of Psychiatry, 4(5), 231–244. doi:10.3109/10673229709030550
Klemanksi, D. H., Mennin, D. S., Borelli, J. L., Morrissey, P. M., & Aikins, D. E. (2012). Emotion-related regulatory difficulties contribute to negative psychological outcomes in active-duty Iraq war soldiers with and without posttraumatic stress disorder. Depression and Anxiety, 29(7), 621–628. doi: 10.1002/da.21914
Kulkarni, M., Pole, N., & Timko, C. (2013). Childhood victimization, negative mood regulation, and adult PTSD severity. Psychological Trauma: Theory, Research, Practice, and Policy. 5(4), 359–365. doi: 10.1037/a0027746
Kuntsche, E., Knibbe, R., Gmel, G., & Engels, R. (2005). Why do young people drink? A review of drinking motives. Clinical Psychology Re- view, 25(7), 841–861. doi: 10.1016/j.cpr.2005.06.002
Leadbeater, B. J., Kuperminc, G. P., Blatt, S. J., & Hertzog, C. (1999). A multivariate model of gender differences in adolescents’ internalizing and externalizing problems. Developmental Psychology, 35(5), 1268–1282. doi: 10.1037/0012-1649.35.5.1268
Leeies, M., Pagura, J., Sareen, J., & Bolton, J. M. (2010). The use of alcohol and drugs to self-medicate symptoms of posttraumatic stress disorder. De- pression and Anxiety, 27(8), 731–736.
Lilly, M. M., London, M. J., & Bridgett, D. J. (2014). Using SEM to exam- ine emotion regulation and revictimization in predicting PTSD symptoms among childhood abuse survivors. Psychological Trauma: Theory, Re- search, Practice, and Policy. doi:10.1037/a0036460
Magar, E. E., Phillips, L. H., & Hosie, J. A. (2008). Self-regulation and risk-taking. Personality and Individual Differences, 45(2), 153–159. doi: 10.1016/j.paid.2008.03.014
Marlatt, G., Baer, J. S., Kivlahan, D. R., Dimeff, L. A., Larimer, M. E., Quigley, L. A., . . . Williams, E. (1998). Screening and brief intervention for high-risk college student drinkers: Results from a 2-year follow-up assessment. Journal of Consulting and Clinical Psychology, 66(4), 604– 615. doi: 10.1037/0022-006X.66.4.604
Marshall-Berenz, E. C., Vujanovic, A. A., & MacPherson, L. (2011). Impul- sivity and alcohol use coping motives in a trauma-exposed sample: The mediating role of distress tolerance. Personality and Individual Differ- ences, 50(5), 588–592. doi: 10.1016/j.paid.2010.11.033
Martens, M. P., Neighbors, C., Lewis, M. A., Lee, C. M., Oster-Aaland, L., & Larimer, M. E. (2008). The roles of negative affect and coping motives in the relationship between alcohol use and alcohol-related problems among college students. Journal of Studies on Alcohol and Drugs, 69(3), 412– 419.
McDevitt-Murphy, M. E., Murphy, J. G., Monahan, C. J., Flood, A. M., & Weathers, F. W. (2010). Unique patterns of substance misuse associated with PTSD, depression, and social phobia. Journal of Dual Diagnosis, 6, 94–110. doi: 10.1080/15504261003701445
Muraven, M., Collins, R. L., & Neinhaus, K. (2002). Self-control and alco- hol restraint: An initial application of the Self-Control Strength Model. Psychology of Addictive Behaviors, 16(2), 113–120. doi: 10.1037/0893- 164X.16.2.113
Murphy, J. G., Benson, T. A., Vuchinich, R. E., Deskins, M. M., Eakin, D., Flood, A. M., . . . Torrealday, O. (2004). A comparison of person- alized feedback for college student drinkers delivered with and with- out a motivational interview. Journal of Studies on Alcohol, 65(2), 200–203.
Neumann, A., van Lier, P. C., Gratz, K. L., & Koot, H. M. (2010). Multidimen- sional assessment of emotion regulation difficulties in adolescents using the Difficulties in Emotion Regulation Scale. Assessment, 17(1), 138–149. doi: 10.1177/1073191109349579
O’Hara, R. E., Armell, S., & Tennen, H. (2014). Drinking-to-cope motivation and negative mood–drinking contingencies in a daily diary study of college students. Journal of Studies on Alcohol and Drugs, 75(4), 606–614.
O’Malley, P. M., & Johnston, L. D. (2002). Epidemiology of alcohol and other drug use among American college students. Journal of Studies on Alcohol, Supplement, 14, 23–39.
Journal of Dual Diagnosis
PTSD, Emotion Regulation, and Alcohol-Related Consequences 117
Park, C. L., Edmondson, D., & Lee, J. (2012). Development of self- regulation abilities as predictors of psychological adjustment across the first year of college. Journal of Adult Development, 19(1), 40–49. doi: 10.1007/s10804-011-9133-z
Perkins, H. W. (2002). Social norms and the prevention of alcohol misuse in collegiate contexts. Journal of Studies on Alcohol. Supplement, Mar(14), 164–172.
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments & Computers, 36(4), 717–731. doi: 10.3758/BF03206553
Price, J. L., Monson, C. M., Callahan, K., & Rodriguez, B. F. (2006). The role of emotional functioning in military-related PTSD and its treatment. Journal of Anxiety Disorders, 20(5), 661–674. doi: 10.1016/j.janxdis.2005.04.004
Read, J. P., Colder, C. R., Merrill, J. E., Ouimette, P., White, J., & Swartout, A. (2012). Trauma and posttraumatic stress symptoms predict alco- hol and other drug consequence trajectories in the first year of col- lege. Journal of Consulting and Clinical Psychology, 80(3), 426–439. doi:10.1037/a0028210
Read, J. P., Merrill, J. E., Griffin, M. J., Bachrach, R. L., & Khan, S. N. (2014). Posttraumatic stress symptoms and alcohol problems: Self-medication or trait vulnerability? The American Journal on Addictions, 23(2), 108–116. doi: 10.1111/j.1521-0391.2013.12075.x
Ruggiero, K. J., Del Ben, K., Scotti, J. R., & Rabalais, A. E. (2003). Psy- chometric properties of the PTSD Checklist—Civilian Version. Journal of Traumatic Stress, 16(5), 495–502. doi:10.1023/A:1025714729117
Salsman, N. L., & Linehan, M. M. (2012). An investigation of the relationships among negative affect, difficulties in emotion regulation, and features of borderline personality disorder. Journal of Psychopathology and Behav- ioral Assessment, 34(2), 260–267. doi: 10.1007/s10862-012-9275-8
Stoltenberg, S. F., Batien, B. D., & Birgenheir, D. G. (2008). Does gender moderate associations among impulsivity and health-risk behaviors? Ad- dictive Behaviors, 33(2), 252–265. doi: 10.1016/j.addbeh.2007.09.004
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn & Bacon.
Tull, M. T., Barrett, H. M., McMillan, E. S., & Roemer, L. (2007). A pre- liminary investigation of the relationship between emotion regulation dif- ficulties and posttraumatic stress symptoms. Behavior Therapy, 38(3), 303–313. doi: 10.1016/j.beth.2006.10.001
Turrisi, R., Mastroleo, N. R., Mallett, K. A., Larimer, M. E., & Kilmer, J. R. (2007). Examination of the mediational influences of peer norms, environmental influences, and parent communications on heavy drinking in athletes and nonathletes. Psychology of Addictive Behaviors, 21(4), 453–461. doi: 10.1037/0893-164X.21.4.453
U.S. Department of Veterans Affairs National Center for PTSD. (2014). Using the PTSD Checklist (PCL). Retrieved from http://www.ptsd.va.gov/professional/pages/assessments/assessment- pdf/pcl-handout.pdf
Vrana, S., & Lauterbach, D. (1994). Prevalence of traumatic events and post-traumatic psychological symptoms in a nonclinical sample of college students. Journal of Traumatic Stress, 7(2), 289–302. doi: 10.1002/jts.2490070209
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. doi: 10.1037/0022-3514.54.6.1063
Weathers, F. W., Litz, B. T., Herman, D. S., Huska, J. A., & Keane, T. M. (1993, October). The PTSD Checklist (PCL): Reliability, validity, and diagnostic utility. Paper presented at the meeting of the International Society for Traumatic Stress Studies, San Antonio, TX.
Wechsler, H., Lee, J., Kuo, M., & Lee, H. (2000). College binge drinking in the 1990s: A continuing problem: Results of the Harvard School of Public Health 1999 College Alcohol Study. Journal of American College Health, 48(5), 199–210. doi: 10.1080/07448480009599305
Wechsler, H., & Nelson, T. F. (2008). What we have learned from the Har- vard School of Public Health College Alcohol Study: Focusing attention on college student alcohol consumption and the environmental condi- tions that promote it. Journal of Studies on Alcohol and Drugs, 69(4), 481–490.
Weiss, N. H., Tull, M. T., Anestis, M. D., & Gratz, K. L. (2013). The relative and unique contributions of emotion dysregulation and impulsivity to posttraumatic stress disorder among substance depen- dent inpatients. Drug and Alcohol Dependence, 128(1–2), 45–51. doi: 10.1016/j.drugalcdep.2012.07.017
Weiss, N. H., Tull, M. T., Davis, L. T., Dehon, E. E., Fulton, J. J., & Gratz, K. J. (2012). Examining the association between emotion regulation difficulties and probable posttraumatic stress disorder within a sample of African Americans. Cognitive Behaviour Therapy, 41(1), 5–14. doi: 10.1080/16506073.2011.621970
Weiss, N. H., Tull, M. T., Dixon-Gordon, K. L., & Gratz, K. L. (2014). Ex- tending findings of a relation between posttraumatic stress disorder and emotion dysregulation among African American individuals: A prelimi- nary examination of the moderating role of gender. Journal of Traumatic Stress Disorders & Treatment, 3(1). doi:10.4172/2324-8947.1000116
Weiss, N. H., Tull, M. T., Lavender, J., & Gratz, K. L. (2013). Role of emotion dysregulation in the relationship between childhood abuse and probable PTSD in a sample of substance abusers. Child Abuse & Neglect, 37(11), 944–954. doi:10.1016/j.chiabu.2013.03.014
Weiss, N. H., Tull, M. T., Viana, A. G., Anestis, M. D., & Gratz, K. L. (2012). Impulsive behaviors as an emotion regulation strategy: Examin- ing associations between PTSD, emotion dysregulation, and impulsive behaviors among substance dependent inpatients. Journal of Anxiety Dis- orders, 26(3), 453–458. doi: 10.1016/j.janxdis.2012.01.007
Wilkins, K. C., Lang, A. J., & Norman, S. B. (2011). Synthesis of the psychometric properties of the PTSD Checklist (PCL) military, civil- ian, and specific versions. Depression and Anxiety, 28(7), 596–606. doi: 10.1002/da.20837
2015, Volume 11, Number 2
Copyright of Journal of Dual Diagnosis is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.