Incarcerated women evidence high rates of both interpersonal trauma and mental illness. In particular, the rates of sexual violence victimization are so high that some researchers have suggested that sexual abuse may be a pathway to prison for women, likely through the development of mental illness, including substance abuse. This review article summarizes the literature on sexual victimization ( n = 32 articles; 28 independent studies) and mental illness ( n = 11 articles; 8 independent studies) prevalence among samples of incarcerated women ( Ns ≥ 100) in context of methodological choices within included articles. Best estimates for sexual victimization from studies using established survey methods were as follows: 50-66% for child sexual abuse, 28-68% for adult sexual abuse, and 56-82% for lifetime sexual assault. Although data directly comparing prevalence of sexual victimization among incarcerated women to prevalence for other groups are limited, the existing data indicate that incarcerated women have significantly greater exposure than incarcerated men and community samples of women. Moreover, compared to findings from the National Comorbidity Survey-Replication, incarcerated women evidence greater prevalence of most lifetime and current mental illnesses, especially depressive disorders, post-traumatic stress disorder, and substance use disorders. Surprisingly, only two independent studies have investigated the overlap between sexual victimization and mental illness in samples of incarcerated women. Both studies found disproportionally high rates of mental illness among victims of sexual violence. Suggestions and implications for research, policy, and practice are discussed.

The current behavioral tasks assessing distress tolerance measure tolerance to frustration and tolerance to physical discomfort, but do not explicitly assess tolerance to negative emotion. We closely evaluated the conceptual distinctions between current behavioral tasks and self-report tasks assessing distress tolerance, and then developed a new behavioral distress tolerance task called the Emotional Image Tolerance (EIT) task. The EIT task retains elements of existing behavioral tasks (e.g., indices of persistence) while augmenting the reliability and content sufficiency of existing measures by including multiple trials, including a variety of negative affect stimuli, and separating overall task persistence from task persistence after onset of distress. In a series of three studies, we found that the EIT correlated with extant behavioral measures of distress tolerance, the computerized mirror-tracing task and a physical cold pressor task. Across all of the studies, we also evaluated whether the EIT correlated with self-report measures of distress tolerance and measures of psychopathology (e.g., depression, anxiety, and binge eating). Implications for the refinement of the distress tolerance construct are discussed.

Multivariate pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) data has critically advanced the neuroanatomical understanding of affect processing in the human brain. Central to these advancements is the brain state, a temporally-succinct fMRI-derived pattern of neural activation, which serves as a processing unit. Establishing the brain state’s central role in affect processing, however, requires that it predicts multiple independent measures of affect. We employed MVPA-based regression to predict the valence and arousal properties of visual stimuli sampled from the International Affective Picture System (IAPS) along with the corollary skin conductance response (SCR) for demographically diverse healthy human participants (n = 19). We found that brain states significantly predicted the normative valence and arousal scores of the stimuli as well as the attendant individual SCRs. In contrast, SCRs significantly predicted arousal only. The prediction effect size of the brain state was more than three times greater than that of SCR. Moreover, neuroanatomical analysis of the regression parameters found remarkable agreement with regions long-established by fMRI univariate analyses in the emotion processing literature. Finally, geometric analysis of these parameters also found that the neuroanatomical encodings of valence and arousal are orthogonal as originally posited by the circumplex model of dimensional emotion.

Emotion invalidation is theoretically and empirically associated with mental and physical health problems. However, existing measures of invalidation focus on past (e.g., childhood) invalidation and/or do not specifically emphasize invalidation of emotion. In this article, the authors articulate a clarified operational definition of emotion invalidation and use that definition as the foundation for development of a new measure of current perceived emotion invalidation across a series of five studies. Study 1 was a qualitative investigation of people's experiences with emotional invalidation from which we generated items. An initial item pool was vetted by expert reviewers in Study 2 and examined via exploratory factor analysis in Study 3 within both college student and online samples. The scale was reduced to 10 items via confirmatory factor analysis in Study 4, resulting in a brief but psychometrically promising measure, the Perceived Invalidation of Emotion Scale (PIES). A short-term longitudinal investigation (Study 5) revealed that PIES scores had strong test-retest reliability, and that greater perceived emotion invalidation was associated with greater emotion dysregulation, borderline features and symptoms of emotional distress. In addition, the PIES predicted changes in relational health and psychological health over a 1-month period. The current set of studies thus presents a psychometrically promising and practical measure of perceived emotion invalidation that can provide a foundation for future research in this burgeoning area. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

IMPORTANCEOnly one-third of patients with complex psychiatric disorders engage in specialty mental health care, and only one-tenth receive adequate treatment in primary care. Scalable approaches are critically needed to improve access to effective mental health treatments in underserved primary care settings.OBJECTIVE To compare 2 clinic-to-clinic interactive video approaches to delivering evidence-based mental health treatments to patients in primary care clinics. DESIGN, SETTING, AND PARTICIPANTSThis pragmatic comparative effectiveness trial used a sequential, multiple-assignment, randomized trial (SMART) design with patient-level randomization. Adult patients treated at 24 primary care clinics without on-site psychiatrists or psychologists from 12 federally qualified health centers in 3 states who screened positive for posttraumatic stress disorder and/or bipolar disorder and who were not already receiving pharmacotherapy from a mental health specialist were recruited from November 16, 2016, to June 30, 2019, and observed for 12 months.INTERVENTIONS Two approaches were compared: (1) telepsychiatry/telepsychologyenhanced referral (TER), where telepsychiatrists and telepsychologists assumed responsibility for treatment, and (2) telepsychiatry collaborative care (TCC), where telepsychiatrists provided consultation to the primary care team. TER included an adaptive intervention (phone-enhanced referral [PER]) for patients not engaging in treatment, which involved telephone outreach and motivational interviewing.MAIN OUTCOMES AND MEASURES Survey questions assessed patient-reported outcomes. The Veterans RAND 12-item Health Survey Mental Component Summary (MCS) score was the primary outcome (range, 0-100). Secondary outcomes included posttraumatic stress disorder symptoms, manic symptoms, depressive symptoms, anxiety symptoms, recovery, and adverse effects. RESULTSOf 1004 included participants, 701 of 1000 (70.1%) were female, 660 of 994 (66.4%) were White, and the mean (SD) age was 39.4 (12.9) years. Baseline MCS scores were 2 SDs below the US mean; the mean (SD) MCS scores were 39.7 (14.1) and 41.2 (14.2) in the TCC and TER groups, respectively. There was no significant difference in 12-month MCS score between those receiving TCC and TER (β = 1.0; 95% CI, −0.8 to 2.8; P = .28). Patients in both groups experienced large and clinically meaningful improvements from baseline to 12 months (TCC: Cohen d = 0.81; 95% CI, 0.67 to 0.95; TER: Cohen d = 0.90; 95% CI, 0.76 to 1.04). For patients not engaging in TER at 6 months, there was no significant difference in 12-month MCS score between those receiving PER and TER (β = 2.0; 95% CI, −1.7 to 5.7; P = .29). CONCLUSIONS AND RELEVANCEIn this comparative effectiveness trial of patients with complex psychiatric disorders randomized to receive TCC or TER, significantly and substantially improved outcomes were observed in both groups. From a health care system perspective, clinical leadership should implement whichever approach is most sustainable.