Posttraumatic stress symptom severity is associated with impaired processing of emotional faces in a large international sample.

Trauma exposure and posttraumatic stress symptoms (PTSS) are associated with biases in emotional face processing. Existing research has utilized a variety of methodological techniques to demonstrate hyperreactivity to threatening cues in posttraumatic stress disorder (PTSD; i.e., fearful faces), but studies to date have shown conflicting findings, including both increased and decreased time fixating on fearful faces. Moreover, the impact of PTSS severity on emotional face processing in the general population is unknown, as the generalizability of prior work is limited. The current study aimed to examine the associations between PTSS and sensitivity to detecting differences in fearful, angry, and happy faces in a large international sample. Participants were 1,182 visitors (Mage = 31.13 years, SD = 13.57, range: 18-85 years) to TestMyBrain.org who completed three emotion sensitivity tasks and the PTSD Checklist for DSM-5. The results indicated that higher PTSS scores were associated with poorer performance in detecting happiness, fear, and anger, ps < .001, with the largest effect for fear, f 2 = .06, controlling for age and gender. Participants who experienced more recent and more direct trauma exposure displayed higher levels of PTSS, with a small but significant effect whereby more direct trauma exposure was associated with higher (i.e., better) scores for anger and fear, f2 s = .02. Women showed heightened sensitivity to detecting fear compared to men, d = 0.17. The present findings underscore the value of citizen science initiatives that allow researchers to obtain clinical data from diverse samples with a high degree of PTSS variability.

Is a Criterion A trauma necessary to elicit posttraumatic stress symptoms?

OBJECTIVE: The posttraumatic stress disorder (PTSD) diagnosis has undergone substantial revision since its first appearance in the DSM-III. Much of the controversy surrounds the definition of trauma, or Criterion A. Our study sought to evaluate the DSM-5-TR's Criterion A and severity of PTSD symptoms in college students. METHOD: Participants were 1500 college students who completed an online questionnaire about mental health symptoms. Responses to the Criterion A assessment were double coded by researchers to determine if the DSM-5-TR's Criterion A was met. Interpersonal agreement between raters was high (kappa = .81). Participants were compared across groups based on their PTSD Criterion A status: (1) DSM-Congruent, (2) DSM-Incongruent, (3) DSM-Ambiguous, and (4) Denied Trauma, using analysis of variance and multiple regression. RESULTS: Participants who reported a trauma that was coded as Criterion A by researchers had the highest levels of PTSD symptoms, even after controlling for perceived stress, depression, anxiety, and gender (p < .001). Comparing across groups, the DSM-Congruent Criterion A group had significantly higher overall PTSS than those in the DSM-Incongruent Criterion A group and also significantly higher hyperarousal symptoms. However, the DSM-Congruent Criterion A group did not differ from the DSM-Ambiguous trauma group on any PTSD symptom cluster. CONCLUSIONS: The lack of significant differences in scores between individuals with DSM- Congruent, DSM-Incongruent, and DSM-Ambiguous traumas provides evidence about the subjective nature of trauma and how college-age individuals interpret their symptoms of PTSD. Clinical implications are discussed.

"I Haven't Been Diagnosed, but I Should Be"-Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study.

BACKGROUND: In recent years, social media has become a rich source of mental health data. However, there is a lack of web-based research on the accuracy and validity of self-reported diagnostic information available on the web. OBJECTIVE: An analysis of the degree of correspondence between self-reported diagnoses and clinical indicators will afford researchers and clinicians higher levels of trust in social media analyses. We hypothesized that self-reported diagnoses would correspond to validated disorder-specific severity questionnaires across 2 large web-based samples. METHODS: The participants of study 1 were 1123 adults from a national Qualtrics panel (mean age 34.65, SD 12.56 years; n=635, 56.65% female participants,). The participants of study 2 were 2237 college students from a large university in the Midwest (mean age 19.08, SD 2.75 years; n=1761, 75.35% female participants). All participants completed a web-based survey on their mental health, social media use, and demographic information. Additionally, the participants reported whether they had ever been diagnosed with a series of disorders, with the option of selecting "Yes"; "No, but I should be"; "I don't know"; or "No" for each condition. We conducted a series of ANOVA tests to determine whether there were differences among the 4 diagnostic groups and used post hoc Tukey tests to examine the nature of the differences. RESULTS: In study 1, for self-reported mania (F3,1097=2.75; P=.04), somatic symptom disorder (F3,1060=26.75; P<.001), and alcohol use disorder (F3,1097=77.73; P<.001), the pattern of mean differences did not suggest that the individuals were accurate in their self-diagnoses. In study 2, for all disorders but bipolar disorder (F3,659=1.43; P=.23), ANOVA results were consistent with our expectations. Across both studies and for most conditions assessed, the individuals who said that they had been diagnosed with a disorder had the highest severity scores on self-report questionnaires, but this was closely followed by individuals who had not been diagnosed but believed that they should be diagnosed. This was especially true for depression, generalized anxiety, and insomnia. For mania and bipolar disorder, the questionnaire scores did not differentiate individuals who had been diagnosed from those who had not. CONCLUSIONS: In general, if an individual believes that they should be diagnosed with an internalizing disorder, they are experiencing a degree of psychopathology similar to those who have already been diagnosed. Self-reported diagnoses correspond well with symptom severity on a continuum and can be trusted as clinical indicators, especially in common internalizing disorders such as depression and generalized anxiety disorder. Researchers can put more faith into patient self-reports, including those in web-based experiments such as social media posts, when individuals report diagnoses of depression and anxiety disorders. However, replication and further study are recommended.