Feasibility, Acceptability, and Potential Efficacy of a Self-Guided Internet-Delivered Dialectical Behavior Therapy Intervention for Substance Use Disorders: Randomized Controlled Trial.

BACKGROUND: People with alcohol and substance use disorders (SUDs) often have underlying difficulties in regulating emotions. Although dialectical behavioral therapy is effective for SUDs, it is often difficult to access. Self-guided, internet-delivered dialectical behavioral therapy (iDBT) allows for expanded availability, but few studies have rigorously evaluated it in individuals with SUDs. OBJECTIVE: This study examines the feasibility, acceptability, and potential efficacy of an iDBT intervention in treatment-seeking adults with SUDs. We hypothesized that iDBT would be feasible, credible, acceptable, and engaging to people with SUDs. We also hypothesized that the immediate versus delayed iDBT group would show comparatively greater improvements and that both groups would show significant improvements over time. METHODS: A 12-week, single-blinded, parallel-arm, randomized controlled trial was implemented, with assessments at baseline and at 4 (acute), 8, and 12 weeks (follow-up). A total of 72 community adults aged 18 to 64 years were randomized. The immediate group (n=38) received access to iDBT at baseline, and the delayed group (n=34) received access after 4 weeks. The intervention (Pocket Skills 2.0) was a self-guided iDBT via a website, with immediate access to all content, additional text and email reminders, and additional support meetings as requested. Our primary outcome was substance dependence, with secondary outcomes pertaining to feasibility, clinical outcomes, functional disability, and emotion dysregulation, among other measures. All outcomes were assessed using self-report questionnaires. RESULTS: iDBT was perceived as a credible and acceptable treatment. In terms of feasibility, 94% (68/72) of the participants started iDBT, 13% (9/68) were early dropouts, 35% (24/68) used it for the recommended 8 days in the first month, and 50% (34/68) were still active 4 weeks later. On average, the participants used iDBT for 2 hours and 24 minutes across 10 separate days. In the acute period, no greater benefit was found for the immediate group on substance dependence, although we did find lower depression (b=-2.46; P=.02) and anxiety (b=-2.22; P=.02). At follow-up, there were greater benefits in terms of reduced alcohol (b=-2.00; P=.02) and nonalcoholic substance (b=-3.74; P=.01) consumption in the immediate access group. Both groups demonstrated improvements in substance dependence in the acute (b=-1.73; P<.001) and follow-up period (b=-2.09; P<.001). At follow-up, both groups reported reduced depression, anxiety, suicidal behaviors, emotional dysregulation, and functional disability. CONCLUSIONS: iDBT is a feasible and acceptable intervention for patients with SUDs, although methods for improving engagement are warranted. Although results did not support efficacy for the primary outcome at 4 weeks, findings support reductions in substance dependence and other mental health concerns at 12 weeks. Notwithstanding the limitations of this study, the results suggest the potential value of iDBT in the treatment of SUDs and other mental health conditions. TRIAL REGISTRATION: ClinicalTrials.gov NCT05094440; https://clinicaltrials.gov/show/NCT05094440.

A standardized workflow for long-term longitudinal actigraphy data processing using one year of continuous actigraphy from the CAN-BIND Wellness Monitoring Study.

Monitoring sleep and activity through wearable devices such as wrist-worn actigraphs has the potential for long-term measurement in the individual's own environment. Long periods of data collection require a complex approach, including standardized pre-processing and data trimming, and robust algorithms to address non-wear and missing data. In this study, we used a data-driven approach to quality control, pre-processing and analysis of longitudinal actigraphy data collected over the course of 1 year in a sample of 95 participants. We implemented a data processing pipeline using open-source packages for longitudinal data thereby providing a framework for treating missing data patterns, non-wear scoring, sleep/wake scoring, and conducted a sensitivity analysis to demonstrate the impact of non-wear and missing data on the relationship between sleep variables and depressive symptoms. Compliance with actigraph wear decreased over time, with missing data proportion increasing from a mean of 4.8% in the first week to 23.6% at the end of the 12 months of data collection. Sensitivity analyses demonstrated the importance of defining a pre-processing threshold, as it substantially impacts the predictive value of variables on sleep-related outcomes. We developed a novel non-wear algorithm which outperformed several other algorithms and a capacitive wear sensor in quality control. These findings provide essential insight informing study design in digital health research.

Changes in Learning From Social Feedback After Web-Based Interpretation Bias Modification: Secondary Analysis of a Digital Mental Health Intervention Among Individuals With High Social Anxiety Symptoms.

BACKGROUND: Biases in social reinforcement learning, or the process of learning to predict and optimize behavior based on rewards and punishments in the social environment, may underlie and maintain some negative cognitive biases that are characteristic of social anxiety. However, little is known about how cognitive and behavioral interventions may change social reinforcement learning in individuals who are anxious. OBJECTIVE: This study assessed whether a scalable, web-based cognitive bias modification for interpretations (CBM-I) intervention changed social reinforcement learning biases in participants with high social anxiety symptoms. This study focused on 2 types of social reinforcement learning relevant to social anxiety: learning about other people and learning about one's own social performance. METHODS: Participants (N=106) completed 2 laboratory sessions, separated by 5 weeks of ecological momentary assessment tracking emotion regulation strategy use and affect. Approximately half (n=51, 48.1%) of the participants completed up to 6 brief daily sessions of CBM-I in week 3. Participants completed a task that assessed social reinforcement learning about other people in both laboratory sessions and a task that assessed social reinforcement learning about one's own social performance in the second session. Behavioral data from these tasks were computationally modeled using Q-learning and analyzed using mixed effects models. RESULTS: After the CBM-I intervention, participants updated their beliefs about others more slowly (P=.04; Cohen d=-0.29) but used what they learned to make more accurate decisions (P=.005; Cohen d=0.20), choosing rewarding faces more frequently. These effects were not observed among participants who did not complete the CBM-I intervention. Participants who completed the CBM-I intervention also showed less-biased updating about their social performance than participants who did not complete the CBM-I intervention, learning similarly from positive and negative feedback and from feedback on items related to poor versus good social performance. Regardless of the intervention condition, participants at session 2 versus session 1 updated their expectancies about others more from rewarding (P=.003; Cohen d=0.43) and less from punishing outcomes (P=.001; Cohen d=-0.47), and they became more accurate at learning to avoid punishing faces (P=.001; Cohen d=0.20). CONCLUSIONS: Taken together, our results provide initial evidence that there may be some beneficial effects of both the CBM-I intervention and self-tracking of emotion regulation on social reinforcement learning in individuals who are socially anxious, although replication will be important.

Associations between rumination, depression, and distress tolerance during CBT treatment for depression in a tertiary care setting.

BACKGROUND: Rumination is strongly associated with depressive symptom severity and course. However, changes in rumination during outpatient cognitive behavioral therapy (CBT), and their links to baseline features such as distress tolerance and clinical outcomes, have received limited attention. METHODS: 278 outpatients with depression received group or individual CBT. Measures of rumination, distress tolerance, and depression symptom severity were assessed at baseline and periodically during treatment. Mixed effect and regression-based models evaluated changes over time, and associations between rumination, distress tolerance and depression severity. RESULTS: Depression and rumination decreased throughout acute treatment. Rumination reduction was concurrently associated with depressive symptom reduction. Lower levels of rumination at each time point prospectively predicted lower depressive symptoms at the next time point. Distress tolerance measured at baseline was positively associated with depression symptom severity; the indirect effect on post-treatment depression symptoms via rumination measured mid-treatment was nonsignificant when rumination at baseline was accounted for. Changes in and associations between depression and rumination were replicated in sensitivity analyses; although changes in depression and rumination were smaller in magnitude in patients receiving treatment during COVID-19. LIMITATIONS: Additional assessment points would permit a more nuanced assessment of the role rumination may play in mediating the associations between distress tolerance and depression severity. Additional investigation of treatments in community settings may also further our understanding of variability in rumination during depression treatment. CONCLUSIONS: The current study provides unique real-world support for variability in rumination as a key indicator of change over the course of CBT for depression.

Multilevel associations of emotion regulation strategy use during psychotherapy for depression: A longitudinal study.

BACKGROUND: People with depression select avoidant emotion regulation (ER) strategies more often than engagement strategies. While psychotherapy improves ER strategies, examining the week-to-week changes in ER and their relationship to clinical outcomes is warranted to understand how these interventions work. This study examined the changes in six ER strategies and depressive symptoms during virtual psychotherapy. METHODS: Treatment-seeking adults (N = 56) with moderate depression severity completed a baseline diagnostic interview and questionnaires and were followed for up to 3 months as they completed virtual psychotherapy in an unrestricted format (e.g., individual) and orientation (e.g., cognitive-behavioral therapy; CBT). Participants completed weekly assessments of depression and six ER strategies along with assessments of CBT skills and participant-rated CBT components for each psychotherapy session. Multilevel modeling was used to examine associations between within-person changes in ER strategy use and weekly depression scores, controlling for between-person effects and time. RESULTS: Depressive symptoms, rumination, and experiential avoidance decreased non-linearly over time while cognitive reappraisal and acceptance increased non-linearly. Controlling for CBT skills, within-person increases in acceptance and cognitive reappraisal, as well as within-person decreases in experiential avoidance, were associated with fewer depressive symptoms over time. People who reported greater CBT components in their sessions also reported fewer depressive symptoms over time. LIMITATIONS: The study was unable to make more causal inferences or standardize the type, baseline, or length of psychotherapy received. CONCLUSIONS: Improvements in ER strategies were associated with depression symptom reduction during psychotherapy. Future research to elucidate ER strategies as mediators of treatment response is warranted.

Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It?

Most research on emotion regulation has focused on understanding individual emotion regulation strategies. Preliminary research, however, suggests that people often use several strategies to regulate their emotions in a given emotional scenario (polyregulation). The present research examined who uses polyregulation, when polyregulation is used, and how effective polyregulation is when it is used. College students (N = 128; 65.6% female; 54.7% White) completed an in-person lab visit followed by a 2-week ecological momentary assessment protocol with six randomly timed survey prompts per day for up 2 weeks. At baseline, participants completed measures assessing past-week depression symptoms, social anxiety-related traits, and trait emotion dysregulation. During each randomly timed prompt, participants reported up to eight strategies used to change their thoughts or feelings, negative and positive affect, motivation to change emotions, their social context, and how well they felt they were managing their emotions. In pre-registered analyses examining the 1,423 survey responses collected, polyregulation was more likely when participants were feeling more intensely negative and when their motivation to change their emotions was stronger. Neither sex, psychopathology-related symptoms and traits, social context, nor subjective effectiveness was associated with polyregulation, and state affect did not moderate these associations. This study helps address a key gap in the literature by assessing emotion polyregulation in daily life. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-022-00166-x.

Examining social reinforcement learning in social anxiety.

BACKGROUND AND OBJECTIVES: Reinforcement learning biases have been empirically linked to anhedonia in depression and theoretically linked to social anhedonia in social anxiety disorder, but little work has directly assessed how socially anxious individuals learn from social reward and punishment. METHODS: N = 157 individuals high and low in social anxiety symptoms completed a social probabilistic selection task that involved selecting between pairs of neutral faces with varying probabilities of changing to a happy or angry face. Computational modeling was performed to estimate learning rates. Accuracy in choosing the more rewarding face was also analyzed. RESULTS: No significant group differences were found for learning rates. Contrary to hypotheses, participants high in social anxiety showed impaired punishment learning accuracy; they were more accurate at choosing the most rewarding face than they were at avoiding the most punishing face, and their punishment learning accuracy was lower than that of participants low in social anxiety. Secondary analyses found that high (vs. low) social anxiety participants were less accurate at selecting the more rewarding face on more (vs. less) punishing face pairs. LIMITATIONS: Stimuli were static, White, facial images, which lack important social cues (e.g., movement, sound) and diversity, and participants were largely non-Hispanic, White undergraduates, whose social reinforcement learning may differ from individuals at different developmental stages and those holding more marginalized identities. CONCLUSIONS: Socially anxious individuals may be less accurate at learning to avoid social punishment, which may maintain negative beliefs through an interpersonal stress generation process.

Building an emotion regulation recommender algorithm for socially anxious individuals using contextual bandits.

OBJECTIVES: Poor emotion regulation (ER) has been implicated in many mental illnesses, including social anxiety disorder. To work towards a scalable, low-cost intervention for improving ER, we developed a novel contextual recommender algorithm for ER strategies. DESIGN: N = 114 socially anxious participants were prompted via a mobile app up to six times daily for five weeks to report their emotional state, use of 19 different ER strategies (or no strategy), physical location, and social context. Information from passive sensors was also collected. METHODS: Given the large number of ER strategies, we used two different approaches for variable reduction: (1) grouping ER strategies into categories based on a prior meta-analysis, and (2) considering only the ten most frequently used strategies. For each approach, an algorithm that recommends strategies based on one's current context was compared with an algorithm that recommends ER strategies randomly, an algorithm that always recommends cognitive reappraisal, and the person's observed ER strategy use. Contextual bandits were used to predict the effectiveness of the strategies recommended by each policy. RESULTS: When strategies were grouped into categories, the contextual algorithm was not the best performing policy. However, when the top ten strategies were considered individually, the contextual algorithm outperformed all other policies. CONCLUSIONS: Grouping strategies into categories may obscure differences in their contextual effectiveness. Further, using strategies tailored to context is more effective than using cognitive reappraisal indiscriminately across all contexts. Future directions include deploying the contextual recommender algorithm as part of a just-in-time intervention to assess real-world efficacy. PRACTITIONER POINTS: Emotion regulation strategies vary in their effectiveness across different contexts. An algorithm that recommends emotion regulation strategies based on a person's current context may one day be used as an adjunct to treatment to help dysregulated individuals optimize their in-the-moment emotion regulation. Recommending flexible use of emotion regulation strategies across different contexts may be more effective than recommending cognitive reappraisal indiscriminately across all contexts.

A meta-analysis of emotional regulation outcomes in psychological interventions for youth with depression and anxiety.

Difficulties in applying emotional regulation (ER) skills are associated with depression and anxiety symptoms, and are common targets of treatment. This meta-analysis examined whether improvements in ER skills were associated with psychological treatment outcomes for depression and/or anxiety in youth. A multivariate, random-effects meta-analysis was run using metafor in R. Inclusion criteria included studies that were randomized controlled trials (RCTs) of a psychological intervention for depression and/or anxiety in patients aged 14-24, were peer reviewed, were written in English, measured depression and/or anxiety symptoms as an outcome and measured ER as an outcome. Medline, Embase, APA PsycInfo, CINAHL and The Cochrane Library were searched up to 26 June 2020. Risk of bias (ROB) was assessed using the Cochrane Collaboration Risk of Bias 2.0 tool. The meta-analysis includes 385 effect sizes from 90 RCTs with total N = 11,652. Psychological treatments significantly reduced depression, anxiety, emotion dysregulation (k = 13, Hedges' g = 0.54, P < 0.001, 95% confidence interval (CI) = 0.30-0.78) and disengagement ER (k = 83, g = 0.24, 95% CI = 0.15-0.32, P < 0.001); engagement ER also increased (k = 82, g = 0.26, 95% CI = 0.15-0.32, P < 0.001). Improvements in depression and anxiety were positively associated with improved engagement ER skills, reduced emotion dysregulation and reduced disengagement ER skills. Sensitivity considered study selection and publication bias. Longer treatments, group formats and cognitive-behavioural orientations produced larger positive associations between improved ER skills and reduced symptoms. ER skill improvement is linked to depression and anxiety across a broad range of interventions for youth. Limitations of the current study include reliance on self-report measures, content overlap between variables and inability to test the directionality of associations.

Emerging New Psychiatric Symptoms and the Worsening of Pre-existing Mental Disorders during the COVID-19 Pandemic: A Canadian Multisite Study: Nouveaux symptômes psychiatriques émergents et détérioration des troubles mentaux préexistants durant la pandémie de la COVID-19: une étude canadienne multisite.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has caused global disruptions with serious psychological impacts. This study investigated the emergence of new psychiatric symptoms and the worsening of pre-existing mental disorders during the COVID-19 pandemic, identified factors associated with psychological worsening, and assessed changes in mental health service use. METHODS: An online survey was circulated between April 3 and June 23, 2020. Respondents were asked to complete mental health questionnaires based on 2 time referents: currently (i.e., during the outbreak) and in the month preceding the outbreak. A total of 4,294 Canadians between 16 and 99 years of age were subdivided based on the presence of self-reported psychiatric diagnoses. RESULTS: The proportion of respondents without prior psychiatric history who screened positive for generalized anxiety disorder and depression increased by 12% and 29%, respectively, during the outbreak. Occurrences of clinically important worsening in anxiety, depression, and suicidal ideation symptoms relative to pre-outbreak estimates were significantly higher in those with psychiatric diagnoses. Furthermore, 15% to 19% of respondents reported increased alcohol or cannabis use. Worse psychological changes relative to pre-outbreak estimate were associated with female sex, younger age, lower income, poorer coping skills, multiple psychiatric comorbidities, previous trauma exposure, deteriorating physical health, poorer family relationships, and lower exercising. Reductions in mental health care were associated with increased suicidal ideation. CONCLUSION: The worsening in mental health symptoms and the decline in access to care call for the urgent development of adapted interventions targeting both new mental disorders and pre-existing psychiatric conditions affected by the COVID-19 pandemic.

Profiles of sleep changes during the COVID-19 pandemic: Demographic, behavioural and psychological factors.

This study aimed to evaluate changes in sleep during the COVID-19 outbreak, and used data-driven approaches to identify distinct profiles of changes in sleep-related behaviours. Demographic, behavioural and psychological factors associated with sleep changes were also investigated. An online population survey assessing sleep and mental health was distributed between 3 April and 24 June 2020. Retrospective questions were used to estimate temporal changes from before to during the outbreak. In 5,525 Canadian respondents (67.1% females, 16-95 years old: Mean ± SD = 55.6 ± 16.3 years), wake-up times were significantly delayed relative to pre-outbreak estimates (p < .001, ηp2  = 0.04). Occurrences of clinically meaningful sleep difficulties significantly increased from 36.0% before the outbreak to 50.5% during the outbreak (all p < .001, g ≥ 0.27). Three subgroups with distinct profiles of changes in sleep behaviours were identified: "Reduced Time in Bed", "Delayed Sleep" and "Extended Time in Bed". The "Reduced Time in Bed" and "Delayed Sleep" subgroups had more adverse sleep outcomes and psychological changes during the outbreak. The emergence of new sleep difficulties was independently associated with female sex, chronic illnesses, being employed, family responsibilities, earlier wake-up times, higher stress levels, as well as heavier alcohol use and television exposure. The heterogeneity of sleep changes in response to the pandemic highlights the need for tailored interventions to address sleep problems.

A multidimensional investigation of anxiety sensitivity and depression outcomes in cognitive-behavioral group therapy.

We examined how anxiety sensitivity - the fear of symptoms of anxiety due to their perceived harmful effects - and gender are associated with treatment trajectory and outcomes in a large outpatient sample (N = 278) who received 14-weeks of cognitive-behavioral group therapy (CBGT) for depression. Three dimensions of anxiety sensitivity (cognitive, physical, and social concerns) and depression were assessed at pre-treatment, and the latter was assessed weekly during treatment. Latent growth curve models supported a link between cognitive concerns (fears of losing control over thoughts) and greater improvement in depression near the end of treatment (i.e., weeks 10-14); gender did not moderate trajectory. Gender (i.e., identifying as a woman) and greater physical concerns (fears of physical consequences of arousal symptoms) were associated with completion of < 8 sessions. Results suggest that those with more cognitive concerns might require greater time in treatment and/or benefit most from the focus on maladaptive assumptions and core beliefs in later CBGT sessions. Future research, including investigation of intervening variables, may elucidate the mechanisms through which greater physical concerns and gender are associated with treatment non-completion. Results supported differential associations of anxiety sensitivity dimensions with depression treatment outcomes, though further research attention is needed.

Emotion Malleability Beliefs and Emotion Experience and Regulation in the Daily Lives of People with High Trait Social Anxiety.

BACKGROUND: The extent to which a person believes they can change or control their own emotions is associated with trait-level symptoms of mood and anxiety-related psychopathology. Method: The present study examined how this belief relates to momentary and daily self-reports of affect, emotion regulation tendencies, and perceived effectiveness of emotion regulation attempts throughout a five-week experience sampling study conducted in N = 113 high socially anxious people (https://osf.io/eprwt/). RESULTS: Results suggest that people with relatively stronger beliefs that their emotions are malleable experienced more momentary and daily positive affect (relative to negative affect), even after controlling for social anxiety symptom severity (although only daily positive affect, and not momentary positive affect, remained significant after correcting for false discovery rate). However, emotion malleability beliefs were not uniquely associated with other emotion regulation-related outcomes in daily life, despite theory suggesting malleability beliefs influence motivation to engage in emotion regulation. CONCLUSION: The paucity of significant associations observed between trait malleability beliefs and momentary and daily self-reports of emotion regulation (despite consistent findings of such relationships at trait levels) calls for additional research to better understand the complex dynamics of emotion beliefs in daily life.

Cognitive Reappraisal of Negative Emotional Images in Borderline Personality Disorder: Content Analysis, Perceived Effectiveness, and Diagnostic Specificity.

Individuals with borderline personality disorder (BPD) report using cognitive reappraisal less often than healthy individuals despite the long-term benefits of the emotion regulation strategy on emotional stability. Individuals with BPD, mixed anxiety and/or depressive disorders (MAD), and healthy controls (HC) completed an experimental task to investigate the tactics contained in cognitive reappraisal statements vocalized for high and low emotional intensity photographs. Self-reported effectiveness after using cognitive reappraisal to decrease negative emotions was also evaluated. Although BPD and MAD used a similar number of cognitive reappraisal tactics, they perceived themselves as less effective at reducing their negative emotions compared to HC. During cognitive reappraisal, BPD and MAD uttered fewer words versus HC, while BPD uttered fewer words versus MAD. Results suggest that individuals with BPD and MAD are less fluent and perceive themselves as less effective than HC when using cognitive reappraisal to lower negative emotions regardless of stimulus intensity.

Relationships between trait emotion dysregulation and emotional experiences in daily life: an experience sampling study.

Few studies have examined how trait emotion dysregulation relates to momentary affective experiences and the emotion regulation (ER) strategies people use in daily life. In the current study, 112 college students completed a trait measure of emotion dysregulation and completed experience sampling and end-of-day surveys over a two- to three-week period, asking about their emotional experiences and ER strategy use. Participants completed a total of 3798 experience sampling (in-the-moment) and 995 nightly diary surveys. We examined the top 40% of each participant's reported instances of negative affect (to capture times when emotions more likely need regulation). Results indicated that a higher level of trait emotion dysregulation was associated with the following in-the-moment responses: (a) higher level of negative affect; (b) greater desire to change emotions; (c) more attempts to regulate emotion; (d) higher relative endorsements of avoidant (e.g. thought suppression) versus engagement (e.g. acceptance) ER strategy use; and (e) lower perceived effectiveness of ER. Further, individuals with a higher (vs. lower) level of trait emotion dysregulation were less able to identify emotions over the course of the day. Findings demonstrate how trait emotion dysregulation may predict emotional experiences and ER in daily life.

A Meta-analysis and Systematic Review of Emotion-Regulation Strategies in Borderline Personality Disorder.

Emotion dysregulation is often considered a core characteristic of individuals with borderline personality disorder (BPD). With the development and strength of a contemporary affective-science model that encompasses both healthy emotion regulation (ER) and emotion dysregulation, this model has increasingly been used to understand the affective experiences of people with BPD. In this meta-analysis and review, we systematically review six of the most commonly studied ER strategies and determine their relative endorsement in individuals with elevated symptoms of BPD compared to individuals with low symptoms of BPD and healthy controls, as well as to individuals with other mental disorders. Results from 93 unique studies and 213 different effect-size estimates indicated that symptoms of BPD were associated with less frequent use of ER strategies that would be considered more effective at reducing negative affect (i.e., cognitive reappraisal, problem solving, and acceptance) and more frequent use of ER strategies considered less effective at reducing negative affect (i.e., suppression, rumination, and avoidance). When compared to individuals with other mental disorders, people with BPD endorsed higher rates of rumination and avoidance, and lower rates of problem solving and acceptance. We also review important contributions from studies of ER in BPD that we were unable to incorporate into our meta-analysis. We conclude by discussing how the pattern of using ER strategies in BPD contributes to emotion dysregulation and also the potential reasons for this pattern, integrating both Gross's extended process model of ER and Linehan's updated theoretical account on the development of emotion dysregulation.

Clinical, personality, and neurodevelopmental phenotypes in borderline personality disorder: a family study.

BACKGROUND: Borderline personality disorder (BPD) is characterized by a heterogeneous clinical phenotype that emerges from interactions among genetic, biological, neurodevelopmental, and psychosocial factors. In the present family study, we evaluated the familial aggregation of key clinical, personality, and neurodevelopmental phenotypes in probands with BPD (n = 103), first-degree biological relatives (n = 74; 43% without a history of psychiatric disorder), and non-psychiatric controls (n = 99). METHODS: Participants were assessed on DSM-IV psychiatric diagnoses, symptom dimensions of emotion dysregulation and impulsivity, 'big five' personality traits, and neurodevelopmental characteristics, as part of a larger family study on neurocognitive, biological, and genetic markers in BPD. RESULTS: The most common psychiatric diagnoses in probands and relatives were major depression, substance use disorders, post-traumatic stress disorder, anxiety disorders, and avoidant personality disorder. There was evidence of familial aggregation for specific dimensions of impulsivity and emotion dysregulation, and the big five traits neuroticism and conscientiousness. Both probands and relatives reported an elevated neurodevelopmental history of attentional and behavioral difficulties. CONCLUSIONS: These results support the validity of negative affectivity- and impulse-spectrum phenotypes associated with BPD and its familial risk. Further research is needed to investigate the aggregation of neurocognitive, neural and genetic factors in families with BPD and their associations with core phenotypes underlying the disorder.

More is not always better: Strategies to regulate negative mood induction in women with borderline personality disorder and depressive and anxiety disorders.

Individuals with borderline personality disorder (BPD) have difficulties regulating emotions, which may be a consequence of using less effective emotion regulation (ER) strategies to lessen the intensity of their negative emotions. It is not yet known whether people with BPD utilize particular ER strategies to modulate specific mood states and if these strategies are different from those used by individuals with depressive and anxiety disorders. In the present study, 90 participants (30 BPD, 30 anxiety and/or depressive disorders, and 30 healthy controls) underwent a mood induction procedure and specified which ER strategies they used and their perceived difficulty regulating mood following induction. Compared with healthy controls, BPD endorsed higher negative mood prior to, immediately following, and 4 min after neutral and negative mood inductions; more maladaptive ER strategies (e.g., rumination); and more perceived difficulty regulating negative mood. Compared with anxiety and/or depressive disorders, BPD endorsed similar ER strategies and subjective difficulty during mood inductions, endorsed higher negative mood following a neutral video and 1 negative video, and recorded higher RSA reactivity during and following 2 negative videos. Results suggest that individuals with BPD use a higher number of maladaptive ER strategies compared with healthy controls, which may lead to less effective modulation of negative mood and higher reports of difficulty regulating emotions. In addition, physiological measurements indicated that individuals with BPD may have higher RSA reactivity in response to negative mood induction compared with other mental disorders, which may reflect inefficient or disorganized attempts to regulate emotional arousal. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Cognitive Emotion Regulation Strategies in Borderline Personality Disorder: Diagnostic Comparisons and Associations with Potentially Harmful Behaviors.

BACKGROUND: Although difficulties in emotion regulation (ER) are considered a core feature of borderline personality disorder (BPD), the specific strategies that individuals with BPD most commonly use, their diagnostic specificity, and their associations with harmful behaviors have not been firmly established. SAMPLING AND METHODS: Individuals with BPD (n = 30), mixed anxiety and/or depressive disorders (MAD; n = 30), and healthy controls (HC; n = 32) completed questionnaires assessing both cognitive ER strategies (e.g., cognitive reappraisal) and potentially harmful behaviors that individuals might use to regulate their emotions (e.g., self-injury). RESULTS: BPD subjects endorsed more maladaptive cognitive ER strategies and fewer adaptive strategies compared to HC. Compared to MAD subjects, BPD individuals endorsed more maladaptive cognitive ER strategies, but only when those with subthreshold symptoms in the MAD group were excluded. BPD also endorsed engaging in potentially harmful behaviors more often than both HC and MAD. Discriminant analysis revealed that MAD endorsed lower rates of problem-solving and cognitive reappraisal compared to both HC and BPD. Higher maladaptive and lower adaptive ER strategies were associated with higher rates of potentially harmful behaviors, although the specific strategies differed for MAD versus BPD. CONCLUSIONS: BPD and MAD endorse cognitive ER strategies with a comparable frequency, although BPD subjects engage in potentially harmful behaviors more often. Subthreshold BPD symptoms may also affect rates of ER strategy use in individuals with other mental disorders.

Executive functions and social cognition in highly lethal self-injuring patients with borderline personality disorder.

Risk for potentially lethal self-injurious behavior in borderline personality disorder (BPD) may be associated with deficits in neuropsychological functions and social cognition. In particular, individuals with BPD engaging in more medically damaging self-injurious behaviors may have more severe executive function deficits and altered emotion perception as compared to patients engaging in less lethal acts. In the current study, 58 patients with BPD reporting a lifetime history of self-injurious behavior were administered neuropsychological measures of response inhibition, planning and problem-solving,and tests of facial emotion recognition and discrimination. Patients who engaged in more medically lethal self-injurious behaviors reported engaging in impulsive behaviors more frequently and displayed neuropsychological deficits in problem-solving and response inhibition. They were also less accurate in recognizing happy facial expressions and in discerning subtle differences in emotional intensity in sad facial expressions. These findings suggest that patients with BPD that engage in more physically damaging self-injurious behaviors may have greater difficulties with behavioral control and employ less efficient problem-solving strategies. Problems in facial emotion recognition and discrimination may contribute to interpersonal difficulties in patients with BPD who self-injure.