Abstract
Objective:
Theoretical and empirical evidence links emotional avoidance to the development and maintenance of posttraumatic stress disorder (PTSD) symptoms. However, few studies have tested whether these findings extend to positive emotional avoidance. Addressing this important gap in the literature, the current study examined the moderating role of PTSD symptom severity in the relation between positive emotional intensity and positive emotional avoidance.
Method:
Participants were 465 trauma-exposed veterans recruited from the community (Mage = 38.00, 71.6% male, 69.5% white).
Results:
The interaction between positive emotional intensity and PTSD symptom severity on positive emotional avoidance was significant. Analysis of simple slopes revealed that positive emotional intensity was significantly positively associated with positive emotional avoidance when participants endorsed high, but not low, levels of PTSD symptom severity.
Conclusions:
Veterans with more severe PTSD symptoms may utilize avoidance strategies in the context of intense positive emotions. These findings may suggest the potential need for addressing positive emotional avoidance in interventions to reduce PTSD symptom severity.
Keywords: Posttraumatic stress disorder symptom severity, Military veterans, Positive emotions, Positive emotional intensity, Positive emotional avoidance
Posttraumatic stress disorder (PTSD) symptoms are pervasive and problematic among veterans (Fulton et al., 2015). The presence of PTSD symptoms among veterans may increase reliance on emotional avoidance (attempts to alter the form, frequency, and context of emotional experiences; Chawla & Ostafin, 2007). Emotion avoidance is hypothesized to play a key role in PTSD symptoms by interfering with emotional processing of traumatic memories, habituation to aversive emotions related to trauma memories, and extinction of trauma-related fear responses (Foa & Kozak, 1986). It is a principal diagnostic feature of PTSD (APA, 2013). Moreover, it is empirically tied to PTSD symptom severity (Schick et al., 2020; Weiss et al., 2019) and predicts response to PTSD treatment (Boden et al., 2012). However, virtually all of the research in this area has focused on the avoidance of trauma-related (i.e., negative) emotions.
Through stiumulus generalization, avoidance of trauma-related emotions may extend to positive emotions among individuals with PTSD symptoms (Roemer et al., 2001). For instance, physiological arousal associated with positive emotions (e.g., excitement) may be perceived as threatening given its relation to trauma-related symptoms (APA, 2013). Additionally, positive emotions may elicit competing negative cognitions – a phenomenon known as negative affect interference (Frewen et al. 2012). Indeed, veteran’s appraisals of positive emotions – including the extent to which they view themselves as deserving of positive emotions (e.g., “I do not deserve to be happy”) or see positive emotions as predictable (e.g., “Positive emotions are always short lived”) – may elicit distress (Norman, Wilkins, Myers, & Allard, 2014). Consistent these suggestions, individuals with PTSD symptoms have been found to negatively evaluate positive emotions (Weiss et al., 2018; 2019; 2020) and subsequently engage in efforts to avoid these states (Weiss et al., 2020). Notably, positive emotional avoidance is more likely in the context of intense positive emotions (Beblo et al., 2012), with repeated avoidance of emotional cues serving to regulate intense emotional experiences (Linehan, 1993). These findings suggest that the strength of the relation between positive emotional intensity and positive emotional avoidance may be stronger among individuals with greater PTSD symptom severity.
Advancing research, this study explored the moderating role of PTSD symptom severity in the relation between positive emotional intensity and positive emotional avoidance among trauma-exposed veterans. We expected positive emotional intensity would be more strongly related to positive emotional avoidance in veterans with high (vs. low) PTSD symptom severity.
Methods
Participants and Procedure
Military veterans were recruited from Amazon’s Mechanical Turk (MTurk), an internet based crowdsourcing platform. MTurk generates reliable data (Buhrmester et al., 2011) and captures individuals with PTSD in a cost- and time-effective manner (van Stolk-Cooke et al., 2018). Inclusionary criteria were self-identified and included: (1) 18+ years old, (2) living in US, (3) English language, and (4) a veteran. Participants were warned that impersonating a veteran for financial gain is illegal and required to correctly respond to two military validity checks (Lynn & Morgan, 2016). To further improve data quality, we embedded four validity checks assessing attention and comprehension (Meade & Craig, 2012). Item-level data was missing in ≤ 6% of cases per variable and was handled using listwise deletion. Participants were compensated $2.50 for study participation. All procedures were approved by the University of Rhode Island IRB. The final sample included 465 participants. See Figure 1 for a flowchart and Table 1 for demographic information.
Figure 1.
Flow chart for sample selection
Table 1.
Sample demographics (N = 465)
| M (SD) | n (%) | Range | |
|---|---|---|---|
| Age | 38.00 (11.45) | 18 – 76 | |
| Gender | |||
| Woman | 131 (28.2%) | ||
| Man | 332 (71.6%) | ||
| Transgender | 1 (0.2%) | ||
| Race | |||
| White | 323 (69.5%) | ||
| Black | 108 (23.2%) | ||
| Asian | 26 (5.6%) | ||
| American Indian/Alaska Native | 19 (4.1%) | ||
| Native Hawaiian/Other Pacific Islander | 5 (1.1%) | ||
| Ethnicity | |||
| Hispanic or Latino/a | 112 (24.6%) | ||
| Not Hispanic or Latino/a | 344 (75.4%) | ||
| Employment Status | |||
| Employed Full-Time | 394 (85.7%) | ||
| Employed Part-Time | 40 (8.7%) | ||
| Not in Labor Force (student, homemaker) | 14 (3.0%) | ||
| Unemployed | 12 (2.6%) | ||
| Index Traumatic Event | |||
| Natural disaster | 47 (10.9%) | ||
| Fire or explosion | 32 (7.4%) | ||
| Transportation accident | 38 (8.8%) | ||
| Serious accident at work/home/recreational activity | 8 (1.9%) | ||
| Exposure to toxic substance | 3 (0.7%) | ||
| Physical assault | 46 (10.6%) | ||
| Assault with a weapon | 17 (3.9%) | ||
| Sexual assault | 49 (11.3%) | ||
| Other unwanted or uncomfortable sexual | 2 (0.5%) | ||
| experience | |||
| Combat or exposure to a war-zone | 67 (15.5%) | ||
| Captivity | 1 (0.2%) | ||
| Life-threatening illness or injury | 18 (4.2%) | ||
| Severe human suffering | 13 (3.0%) | ||
| Sudden violent death | 29 (6.7%) | ||
| Sudden accidental death | 21 (4.9%) | ||
| Serious injury, harm, or death you caused to someone else | 11 (2.5%) |
Note. All reported percentages are valid percentages to account for missing data. PTSD = posttraumatic stress disorder. Participants could endorse more than one racial category.
Measures
Short Affect Intensity Scale (SAIS; Geuens & De Pelsmacker, 2002).
The SAIS-P is a 20-item self-report scale assessing positive and negative emotional intensity. Items are rated on a 7-point scale (1 = strongly disagree, 6 = strongly agree). The SAIS shows good psychometrics (Geuens & De Pelsmacker, 2002), including here (positive [α=.93] and negative [α=.94]).
Emotional Avoidance Questionnaire (EAQ; Taylor et al., 2004).
The EAQ is a 10-item self-report scale assessing positive and negative emotional avoidance. Items are rated on a 5-point scale (1 = not true of me, 5 = very true of me). The EAQ-Positive shows good psychometrics (Taylor et al., 2004), including here (positive [α = .91] and negative [.86]).
Life Events Checklist for DSM-5 (LEC-5; Weathers et al., 2013).
The LEC-5 is a 17-item self-report scale assessing lifetime traumas. Items are rated on a 6-point scale: happened to me, witnessed it, learned about it, part of my job, not sure, and does not apply. Endorsement of any of the first four responses is considered a positive endorsement of a trauma (APA, 2013).
PTSD Checklist for DSM-5 (PCL-5; Weathers et al., 2013).
The PCL-5 is a 20-item self-report scale assessing DSM-5 PTSD symptoms. Participants completed the PCL-5 in response to the LEC-5 index trauma. Items are rated on a 5-point scale (0 = not at all, 4 = extremely). A score of 31 indicates probable PTSD (Blevins et al., 2015). The PCL-5 has excellent psychometrics, including among veterans (Blevins et al., 2015) and in this sample (α = .98).
Data Analysis
Correlations were computed among study variables and trauma/demographic factors. Moderation analyses were conducted with the PROCESS SPSS macro (Hayes, 2018). Negative emotional intensity, negative emotional avoidance, and trauma/demographic factors significantly related to positive emotional avoidance were included as covariates. Significant interactions were followed with simple slope analyses.
Results
Table 1 indicates prevalence rates of index traumas. Forty-nine percent of participants (n = 227) reported PTSD symptom severity consistent with a probable PTSD diagnosis. Primary study variables were significantly positively correlated (Table 2). The moderation model predicting positive emotional avoidance including the interaction of positive emotional intensity and PTSD symptom severity was significant, F (9, 420) = 39.23, p < .001, R2 = .46. Physical assault and identifying as non-White or Hispanic positively related to positive emotional avoidance, while age and non-interpersonal trauma negatively related to positive emotional avoidance; thus, these variables, as well as negative emotional intensity and negative emotional avoidance, were included as covariates (Table 3). This model revealed significant main effects for positive emotional intensity (b = .06, p = .01) and PTSD symptom severity (b = .09, p < .001) on positive emotional avoidance. Further, the interaction between positive emotional intensity and PTSD symptom severity on positive emotional avoidance was significant (b = .003, p = .004). Simple slope analyses (Figure 2) revealed that positive emotional intensity positively related to positive emotional avoidance when participants endorsed high (1 SD above the mean; b = .12, SE = .03, t = 3.67, p < .001, 95% CI [.06, .19]) but not low (1 SD below the mean; b = −.001, SE = .03, t = −0.04, p = .97, 95% CI [−.06, .06]) levels of PTSD symptom severity.
Table 2.
Intercorrelations and descriptive details regarding study variables of interest
| 1 | 2 | 3 | M (SD) | Range | |
|---|---|---|---|---|---|
| 1. Positive Emotional Intensity | - | 30.03 (9.25) | 6 – 48 | ||
| 2. Positive Emotional Avoidance | .25** | - | 11.83 (5.98) | 3 – 25 | |
| 3. PTSD Symptom Severity | .17** | .61** | - | 29.62 (23.32) | 0 – 80 |
| 4. Negative Emotional Intensity | .29** | .43** | .50** | 21.85 (7.05) | 6 – 36 |
| 5. Negative Emotional Avoidance | .22** | .59** | .54** | 44.39 (14.62) | 3 – 70 |
| 6. Sexual Trauma | −.06 | .07 | .16* | - | - |
| 7. Physical Trauma | .03 | .15* | .13* | - | - |
| 8. Military Trauma | −.04 | −.03 | −.05 | - | - |
| 9. Other Non-Interpersonal Trauma | .04 | −.16* | −.13* | - | - |
| 10. Age | .01 | −.14* | −.05 | - | - |
| 11. Woman Gender | −.01 | −.05 | .05 | - | - |
| 12. White Racial Background | −.22** | −.26** | −.21** | - | - |
| 13. Hispanic Ethnicity | .15* | .38** | .26** | - | - |
| 14. Employed Full-Time | −.01 | .09 | .07 | - | - |
Note. PTSD = posttraumatic stress disorder. Ranges reflect observed scores rather than possible scores.
p < .01.
p<.001.
Table 3.
Summary of moderation analyses
| b | SE | t | p | 95% CI | |
|---|---|---|---|---|---|
| Positive Emotional Intensity | .06 | .02 | 2.54 | .01 | [.01, .11] |
| PTSD Symptom Severity | .09 | .01 | 8.14 | <.001 | [.07, .11] |
| Positive Emotional Intensity X PTSD Symptom Severity | .003 | .001 | 2.88 | .004 | [.001, .004] |
| Negative Emotional Intensity | −.03 | .04 | −0.82 | .41 | [−.11, .04] |
| Negative Emotional Avoidance | .14 | .02 | 7.56 | <.001 | [.10, .18] |
| Physical Trauma | .86 | .72 | 1.19 | .24 | [−.56, 2.27] |
| Other Non-Interpersonal Trauma | −.31 | .44 | −0.70 | .48 | [−1.18, .56] |
| Age | −.04 | .02 | −2.18 | .03 | [−.07, −.004] |
| White Race | −.50 | .50 | −1.00 | .32 | [−1.48, .48] |
| Hispanic | 2.45 | .53 | 4.26 | <.001 | [1.21, 3.28] |
Note. PTSD = posttraumatic stress disorder, bolded typeface indicates statistical significance at the level p < .05
Figure 2. Positive emotional intensity by PTSD symptom severity interaction for positive emotional avoidance.

Note. PTSD = posttraumatic stress disorder. Values at one standard deviation above and below the mean score of PTSD symptoms, respectively, were used for plotting the figure.
Discussion
In support of the study hypothesis, the strength of the relation between positive emotional intensity and positive emotional avoidance varied as a function of PTSD symptom severity. In particular, our results showed that positive emotional intensity was significantly and positively associated with positive emotional avoidance at high (vs. low) levels of PTSD symptom severity. This finding suggests that veterans may be more likely to engage in efforts to avoid intense positive emotions when they experience greater PTSD symptom severity. Weiss et al. (2018) theorized that the distress associated with physiological, cognitive, and affective features originally paired with trauma cues might expand to positive emotions over time through stimulus generalization. Consistent with this assertion, empirical work has found trauma-exposed individuals with greater PTSD symptom severity to be less accepting of positive emotions (Weiss et al., 2018; 2019) and more likely to use avoidance strategies in the context of intense positive emotions (Weiss et al., 2020). More research is needed to test this hypothesis.
If replicated, current study findings can advance theory, research, and practice in the areas of positive emotions and PTSD. Broadly, literature underscores the protective nature of positive emotions (Fredrickson, 1998) and suggests the utility of focusing on increasing positive emotions in mental health treatment (Bolier et al., 2013). Regarding trauma recovery specifically, Folkman (1997) identified positive emotions as an integral component of the coping process following trauma, for instance counteracting negative emotions (Tugade & Fredrickson, 2004). Our findings extend this theory by indicating that individuals may have maladaptive responses to positive emotions (i.e., avoidance) following trauma, such as in the context of greater PTSD symptom severity. However, positive emotional avoidance is rarely addressed in empirically-supported PTSD treatments (Contractor et al., 2020). Instead, in line with evidence that positive emotions restore psychological resources post-trauma (Fredrickson et al., 2003), PTSD treatment for veterans often aims to increase positive emotions (Foa et al., 2007; Resick et al., 2014). If replicated, our results may suggest the need for targeting maladaptive responses to positive emotions in PTSD treatment, including physiological arousal to positive emotions (e.g., Prolonged Exposure; Foa et al., 2007) and maladaptive cognitions stemming from positive emotions (e.g., Cognitive Processing Therapy; Resick et al., 2014). Indeed, consistent with negative affect interference (Frewen et al., 2012), negative and positive emotional avoidance were significantly and positively correlated in the current study. Research indicates that trauma-exposed clients are willing/interested in discussing positive emotions (Caldas et al., 2020).
Finally, current study results highlight important avenues for future research. Investigations would benefit from examining contextual factors influencing positive emotional avoidance. While generally deleterious, there is evidence to suggest that avoidance may – at times – confer positive outcomes (Aldao, 2013), including short-term reductions in stress and anxiety (Roth & Cohen, 1986) and physical threat (Lewis et al., 2006). Yet, when applied too frequently, avoidance may result in paradoxical long-term effects, intensifying emotions (Hayes et al., 1996). Overall, this research suggests that avoidance may be functional when applied flexibly to meet individual goals or situational demands. Research is also needed to identify specific strategies utilized to avoid positive emotions. Some strategies (e.g., substance use) may be associated with greater risk for negative outcomes, and thus – when present – may highlight the more urgent need for clinical intervention that targets positive emotional avoidance.
Results need to be considered in the context of study limitations. First, the cross-sectional and correlational nature of the data precludes causal determination and temporal ordering of examined associations. Future research is needed to investigate the nature and direction of these relations through longitudinal investigations. Use of ecological momentary assessments, in particular, may minimize recall bias, maximize ecological validity, and facilitate examination of micro-processes. Second, the current study relied exclusively on self-report measures. Trauma-exposed individuals are more likely to lack emotional awareness and clarity (Weiss et al., 2013), thus studies may benefit from objective measurement of emotional responding (Gratz et al., 2006; Vasilev et al., 2009). Relatedly, PTSD diagnosis cannot be established through self-report, therefore the extent to which findings generalize to this specific PTSD outcome is unknown. Investigations in this area that integrate structured diagnostic assessment of PTSD are necessary. Third, collecting data via the internet has disadvantages that may limit generalizability of results, such as sample biases and lack of control over the research environment (Kraut et al., 2004). While our sample closely resembled veteran samples that are nationally representative (Meffert et al., 2019) and recruited from VA healthcare systems (Bovin et al., 2016), it was younger, more racially diverse, and had a greater number of women; this may have contributed to the higher rate of probable PTSD in this study. The higher rate of probable PTSD may also be due to greater comfort disclosing symptoms via MTurk due to visual anonymity (Joinson, 2001). Research should replicate findings across diverse military samples and recruitment platforms. Lastly, while examination in a community sample of veterans is a strength, replication among other veteran (e.g., clinical) or trauma-exposed (e.g., civilian) populations is warranted, and will speak to generalizability of findings. Despite these limitations, the results of the current study extend existing knowledge on the associations among positive emotional intensity, positive emotional avoidance, and PTSD symptom severity, underscoring the potential need for addressing positive emotional avoidance in interventions for PTSD symptoms.
Clinical Impact Statement.
Maladaptive responses to positive emotions (e.g., avoidance) may lead to or exacerbate mental health problems. The current study examined the role of posttraumatic stress disorder (PTSD) symptom severity in the avoidance of positive emotions. We found that more intense positive emotions were associated with greater positive emotional avoidance among veterans with high (but not low) PTSD symptom severity. These findings suggest the potential need for addressing positive emotional avoidance in interventions to reduce PTSD symptom severity.
Acknowledgments
Work on this paper by the first author (NHW) was supported by Nationals Institute of Health grants K23DA039327 and P20GM125507.
References
- Aldao A (2013). The future of emotion regulation research capturing context. Perspectives on Psychological Science, 8, 155–172. [DOI] [PubMed] [Google Scholar]
- American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®): American Psychiatric Pub. [Google Scholar]
- Aust F, Diedenhofen B, Ullrich S, & Musch J (2013). Seriousness checks are useful to improve data validity in online research. Behavior Research Methods, 45, 527–535. [DOI] [PubMed] [Google Scholar]
- Beblo T, Fernando S, Klocke S, Griepenstroh J, Aschenbrenner S, & Driessen M (2012). Increased suppression of negative and positive emotions in major depression. Journal of Affective Disorders, 141, 474–479. [DOI] [PubMed] [Google Scholar]
- Blevins CA, Weathers FW, Davis MT, Witte TK, & Domino JL (2015). The posttraumatic stress disorder checklist for DSM-5 (PCL-5): Development and initial psychometric evaluation. Journal of Traumatic Stress, 28, 489–498. [DOI] [PubMed] [Google Scholar]
- Boden MT, Bonn-Miller MO, Vujanovic AA, & Drescher KD (2012). A prospective investigation of changes in avoidant and active coping and posttraumatic stress disorder symptoms among military Veteran. Journal of Psychopathology and Behavioral Assessment, 34, 433–439. [Google Scholar]
- Bolier L, Haverman M, Westerhof GJ, Riper H, Smit F, & Bohlmeijer E (2013). Positive psychology interventions: A meta-analysis of randomized controlled studies. BMC Public Health, 13, 119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buhrmester M, Kwang T, & Gosling SD (2011). Amazon's Mechanical Turk a new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5. [DOI] [PubMed] [Google Scholar]
- Caldas SV, Jin L, Dolan M, Dranger P, & Contractor AA (2020). An exploratory examination of client perspectives on a positive memory technique for PTSD. Journal of Nervous and Mental Disease. [DOI] [PubMed] [Google Scholar]
- Chawla N, & Ostafin B (2007). Experiential avoidance as a functional dimensional approach to psychopathology: An empirical review. Journal of Clinical Psycholgy, 63, 871–890. [DOI] [PubMed] [Google Scholar]
- Foa EB, Hembree E, & Rothbaum BO (2007). Prolonged exposure therapy for PTSD: Emotional processing of traumatic experiences. New Yourk, NY: Oxford University Press. [Google Scholar]
- Foa EB, & Kozak MJ (1986). Emotional processing of fear: Exposure to corrective information. Psychological Bulletin, 99, 20–35. [PubMed] [Google Scholar]
- Folkman S (1997). Positive psychological states and coping with severe stress. Social Science & Medicine, 45, 1207–1221. [DOI] [PubMed] [Google Scholar]
- Fredrickson BL (1998). What good are positive emotions?. Review of General Psychology, 2, 300–319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fredrickson BL, Tugade MM, Waugh CE, & Larkin GR (2003). What good are positive emotions in crisis? A prospective study of resilience and emotions following the terrorist attacks on the United States on September 11th, 2001. Journal of Personality and Social Psychology, 84, 365–376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frewen PA, Dozois DJA, & Lanius RA (2012). Assessment of anhedonia in psychological trauma: Psychometric and neuroimaging perspectives. European Journal of Psychotraumatology, 3, 8587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fulton JJ, Calhoun PS, Wagner HR, Schry AR, Hair LP, Feeling N, … Beckham JC (2015). The prevalence of posttraumatic stress disorder in Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) veterans: A meta-analysis. Journal of Anxiety Disorders, 31, 98–107. [DOI] [PubMed] [Google Scholar]
- Geuens M, & De Pelsmacker P (2002). Developing a short affect intensity scale. Psychological Reports, 91, 657–670. [DOI] [PubMed] [Google Scholar]
- Gratz KL, Rosenthal MZ, Tull MT, Lejuez CW, & Gunderson JG (2006). An experimental investigation of emotion dysregulation in borderline personality disorder. Journal of Abnormal Psychology, 115, 850–855. [DOI] [PubMed] [Google Scholar]
- Gray MJ, Litz BT, Hsu JL, & Lombardo TW (2004). Psychometric properties of the Life Events Checklist. Assessment, 11, 330–341. [DOI] [PubMed] [Google Scholar]
- Hayes AF (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd edition). New York, NY: The Guilford Press. [Google Scholar]
- Joinson AN (2001). Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31, 177–192. [Google Scholar]
- Kraut R, Olson J, Banaji M, Bruckman A, Cohen J, & Couper M (2004). Psychological research online: Report of board of scientific affairs' advisory group on the conduct of research on the internet. American Psychologist, 59, 105–117. [DOI] [PubMed] [Google Scholar]
- Lewis CS, Griffing S, Chu M, Jospitre T, Sage RE, Madry L, & Primm BJ (2006). Coping and violence exposure as predictors of psychological functioning in domestic violence survivors. Violence Against Women, 12, 340–354. [DOI] [PubMed] [Google Scholar]
- Linehan MM (1993). Cognitive behavioral treatment of borderline personality disorder. New York, NY: Guilford Press. [Google Scholar]
- Litz BT, Orsillo SM, Kaloupek D, & Weathers F (2000). Emotional processing in posttraumatic stress disorder. Journal of Abnormal Psychology, 109, 26–39. [DOI] [PubMed] [Google Scholar]
- Lynn BMD, & Morgan JK (2016). Using Amazon’s Mechanical Turk (MTurk) to recruit military veterans: Issues and suggestions. The Military Psychologist, 31(3), 8–14. [Google Scholar]
- Meade AW, & Craig SB (2012). Identifying careless responses in survey data. Psychological Methods, 17, 437–455. [DOI] [PubMed] [Google Scholar]
- Resick PA, Monson CM, & Chard KM (2014). Cognitive processing therapy: Veteran/military version: Therapist and patient materials manual. Washington, DC: Department of Veterans Affairs. [Google Scholar]
- Roemer L, Litz BT, Orsillo SM, & Wagner AW (2001). A preliminary investigation of the role of strategic withholding of emotions in PTSD. Journal of Traumatic Stress, 14, 149–156. [Google Scholar]
- Roth S, & Cohen LJ (1986). Approach, avoidance, and coping with stress. American Psychologist, 41, 813–819. [DOI] [PubMed] [Google Scholar]
- Schick MR, Weiss NH, Contractor AA, Suazo NC, & Spillane NS (2020). Posttraumatic stress disorder’s relation with positive and negative emotional avoidance: The moderating role of gender. Stress & Health, 36, 172–178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taylor CT, Laposa JM, & Alden LE (2004). Is avoidant personality disorder more than just social avoidance? Journal of Personality Disorders, 18, 571–594. [DOI] [PubMed] [Google Scholar]
- Tugade MM, & Fredrickson BL (2004). Resilient individuals use positive emotions to bounce back from negative emotional experiences. Journal of Personality and Social Psychology, 86, 320–333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Stolk-Cooke K, Brown A, Maheux A, Parent J, Forehand R, & Price M (2018). Crowdsourcing trauma: Psychopathology in a trauma-eposed sample recruited via mechanical turk. Journal of Traumatic Stress, 31, 549–557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vasilev CA, Crowell SE, Beauchaine TP, Mead HK, & Gatzke-Kopp LM (2009). Correspondence between physiological and self-report measures of emotion dysregulation: A longitudinal investigation of youth with and without psychopathology. Journal of Child Psychology and Psychiatry, 50, 1357–1364. [DOI] [PubMed] [Google Scholar]
- Wagner AW, Roemer L, Orsillo SM, & Litz BT (2003). Emotional experiencing in women with posttraumatic stress disorder: congruence between facial expressivity and self-report. Journal of Traumatic Stress, 16, 67–75. [DOI] [PubMed] [Google Scholar]
- Weathers FW, Blake DD, Schnurr PP, Kaloupek DG, Marx BP, & Keane TM (2013). The Life Events Checklist for DSM-5 (LEC-5). Instrument available from the National Center for PTSD at www.ptsd.va.gov. [Google Scholar]
- Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, & Schnurr PP (2013). The PTSD Checklist for DSM-5 (PCL-5). Scale available from the National Center for PTSD at www.ptsd.va.gov. [Google Scholar]
- Weiss NH, Contractor AA, Forkus SR, Goncharenko S, & Raudales AM (2020). Positive emotion dysregulation among community individuals: The role of traumatic exposure and posttraumatic stress disorder. Journal of Traumatic Stress. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiss NH, Dixon-Gordon KL, Peasant C, & Sullivan TP (2018). An examination of the role of difficulties regulating positive emotions in posttraumatic stress disorder. Journal of Traumatic Stress, 31, 775–780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiss NH, Forkus SR, Raudales AM, Schick MR, & Contractor AA (2020). Alcohol misuse to down-regulate positive emotions: A cross-sectional multiple mediator analysis among US military veterans. Addictive Behaviors, 105, 106322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiss NH, Nelson RJ, Contractor AA, & Sullivan TP (2019). Emotion dysregulation and posttraumatic stress disorder: A test of the incremental role of difficulties regulating positive emotions. Anxiety, Stress, & Coping, 32, 443–456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiss NH, Tull MT, Anestis MD, & Gratz KL (2013). The relative and unique contributions of emotion dysregulation and impulsivity to posttraumatic stress disorder among substance dependent inpatients. Drug and Alcohol Dependence, 128, 45–51. [DOI] [PMC free article] [PubMed] [Google Scholar]

