Parental Mental Illness, Borderline Personality Disorder, and Parenting Behavior: The Moderating Role of Social Support.

PURPOSE OF REVIEW: Parental mental disorders, particularly borderline personality disorder (BPD), impair parenting behavior. Consequently, the children exhibit an elevated risk for psychopathology across their lifespan. Social support for parents is thought to moderate the relationship between parental mental illness and parenting behavior. It may dampen negative effects and serve as starting point for preventive interventions. This paper provides a literature overview regarding the impact of social support on the sequelae of parental mental illness and BPD for parenting behavior. RECENT FINDINGS: Current literature highlights the increased burden of families with a mentally ill parent and associated changes in parenting behavior like increased hostility and affective dysregulation, especially in the context of parental BPD. Literature further demonstrates the powerful impact of social support in buffering such negative outcomes. The effect of social support seems to be moderated itself by further factors like socioeconomic status, gender, or characteristics of the social network. Social support facilitates positive parenting in mentally ill parents and may be particularly important in parents with BPD. However, social support is embedded within a framework of influencing factors, which need consideration when interpreting scientific results.

Association of loneliness and social network size in adulthood with childhood maltreatment: Analyses of a population-based and a clinical sample.

BACKGROUND: Perceived loneliness and objective social network size are related but distinct factors, which negatively affect mental health and are prevalent in patients who have experienced childhood maltreatment (CM), for example, patients with persistent depressive disorder (PDD) and borderline personality disorder (BPD). This cross-diagnostic study investigated whether loneliness, social network size, or both are associated with self-reported CM. METHODS: Loneliness and social network size were assessed in a population-based sample at two time points (Study 1, N = 509), and a clinical group of patients with PDD or BPD (Study 2, N = 190) using the UCLA Loneliness Scale and the Social Network Index. Further measures were the Childhood Trauma Questionnaire, and standard depression rating scales. Linear regression analyses were applied to compare associations of loneliness or social network size with CM. Multiple mediation analyses were used to test the relative importance of loneliness and social network size in the relationship between CM and depressive symptoms. RESULTS: In both studies, loneliness showed a stronger association than social network size with CM. This was particularly marked for emotional neglect and emotional abuse. Loneliness but not social network size mediated the relationship between CM and depressive symptoms. CONCLUSIONS: Loneliness is particularly associated with self-reported CM, and in this respect distinct from the social network size. Our results underline the importance of differentiating both psychosocial constructs and suggest focusing on perceived loneliness and its etiological underpinnings by mechanism-based psychosocial interventions.

High fidelity dialectical behaviour therapy online: Learning from experienced practitioners.

Dialectical behaviour therapy (DBT) is an effective treatment for borderline personality disorder and other problems underpinned by difficulties with emotional regulation. The main components of DBT are skills training groups and individual therapy. The COVID-19 outbreak forced a rapid adaptation to online delivery, which largely mirrored face-to-face programmes using videoconferencing technology. This study aimed to elicit and describe the experiences and learning of therapists involved in providing high-fidelity DBT programmes via the Australian DBT Institute, which established an online delivery platform called DBT Assist™ prior to the COVID-19 pandemic. The report conforms with the consolidated criteria for reporting qualitative research (COREQ). Seven therapists were interviewed. Data were transcribed and analysed thematically. Delivering skills training online, either exclusively or in hybrid form (with face-to-face individual therapy), was acceptable and even preferable to therapists and clients. It was considered safe, the programme was associated with few non-completers, and it improved the accessibility of DBT to those who might otherwise not be able to engage in a face-to-face programme. Skills training utilized a 'flipped-learning' approach which improved the efficiency of online delivery. Other unique and helpful features of the online programme were described. The best outcomes associated with online DBT are likely to be achieved through careful adaptation to the online environment in accord with the principles of DBT rather than mirroring face-to-face processes. Further research is required to determine the efficacy of online therapy relative to face-to-face, and who might be best suited to different modes of delivery.

Implementation of a Mobile DBT App and Its Impact on Suicidality in Transitional Age Youth with Borderline Personality Disorder: A Qualitative Study.

Contemporary performance and accessibility are features that enable mobile devices to be increasingly beneficial in the context of optimizing the treatment of psychiatric disorders. Smartphones have the potential to effectively support psychotherapeutic interventions among adolescents and young adults who require them. In the present study, the use and subjective influence of a smartphone app with content from dialectical behavior therapy (DBT) was investigated among transitional age youth (TAY) with borderline personality disorder, focusing on suicidality and non-suicidal self-injury (NSSI), in a natural setting. A longitudinal qualitative approach was used by means of individual semi-structured interviews, where participants were asked about their experiences and associated emotions before and after a testing period of 30 days. A total of 13 TAY with a diagnosed borderline personality disorder between the ages of 18 and 23 were included. Six overarching themes were identified through qualitative text analysis: (1) experiences with DBT skills, (2) phenomenon of self-harm, (3) feelings connected with self-harm, (4) dealing with disorder-specific symptoms, (5) prevention of self-harm, and (6) attitude toward skills apps. In general, the provision of an app with DBT content achieved a positive response among participants. Despite a small change in the perception of suicidality and NSSI, participants could imagine its benefits by integrating their use of the app as a supportive measure for personal psychotherapy sessions.

Towards online delivery of Dialectical Behaviour Therapy: A scoping review.

Dialectical Behaviour Therapy (DBT) programmes are often the only available treatment for people diagnosed with borderline personality disorder and were rapidly converted to online delivery during the COVID-19 pandemic. Limited research exists surrounding how the major elements of DBT are delivered in an online environment. This scoping review considered the operationalization of online delivery of DBT and its effectiveness. EBSCO host databases were searched using free text. Of 127 papers, 11 studies from 2010 to 2021 investigating online DBT for any clinical population were included in the review. A narrative synthesis of papers selected was undertaken. Seven articles reported results from five clinical trials (n = 437). Most adaptations mirrored face-to-face programmes although there was considerable variation in how therapy was facilitated. Attendance was reported to be greater online with comparable clinical improvements to face-to-face for those who remained in therapy. Additional challenges included managing risk, therapist preparedness and technology difficulties. Online delivery of DBT programmes is feasible and may be more accessible, acceptable and as safe and effective as face-to-face delivery. However, mirroring face to face delivery in an online environment may not be the most effective and efficient way to adapt DBT to online provision. Research is needed to identify areas which require further adaptation.

"Family Connections", a DBT-Based Program for Relatives of People with Borderline Personality Disorder during the COVID-19 Pandemic: A Focus Group Study.

The COVID-19 pandemic has had a significant impact on the family environment due to the difficulties that have been generated by job losses, deaths, increase rates of family and domestic violence, poor mental health outcomes, and estrangement in personal relationships. "Family Connections" (FC) is an internationally renowned DBT-based program that supports the families and caregivers of people with borderline personality disorder. The study took place at a Specialized Health Centre in Spain. A focus group with seven participants was organized for people who had previously attended an FC group. The participants were asked about their experiences during the confinement periods that was caused by COVID-19 as well as their experiences and opinions on relatives, skills practiced, their need to and the advantages of attending the group, and satisfaction with the FC group. The qualitative research web program Dedoose was used for the thematic analysis of the data. The results showed that the participants experienced various experiences during confinement; validation and radical acceptance were determined to be the most useful skills; the importance of professionals and the content as well as the sincerity of attendees and having a safe space were determined to be the greatest benefits of the programs; and the participants all indicated great satisfaction of the program. This study allowed us to explore the experiences of family members of people with BPD with their loved ones during the confinement period caused by the COVID-19 pandemic. We evaluated the use of the FC program skills in the family environment during confinement, and we analyzed the acceptability and satisfaction with the FC program.

Exploring the psychological impact of COVID-19 on adolescents with borderline personality disorder and their mothers: A focus group study.

The aim of this study was to explore the impact of the coronavirus pandemic on adolescents diagnosed with Borderline Personality Disorder (BPD) and their mothers. This exploratory study used a qualitative focus group approach. This study's sample group consisted in nine participants: five adolescents diagnosed with BPD and their four mothers. Patients were recruited from a specialized BPD outpatient unit of a university hospital psychiatry department. The results are divided into two main areas, the first regarding the lockdown period and the second examining the period of gradual relaxation of lockdown restrictions. The results show that the adolescents had difficulties in the management of their interpersonal relationships, especially in striking a balance between individual and family space, as well as in communication, cohesion, and family dynamics. During the COVID lockdown, adolescents experienced a stabilization of psychopathological symptoms, but these symptoms worsened when the lockdown restrictions were lifted. Nevertheless, they reported having learned and implemented self-care strategies. The findings are discussed in terms of both individual and family impact, shedding light on some of the challenges precipitated by the COVID-19 pandemic.

The impact of COVID-19 lockdown on the well-being of clients of a specialist personality disorder service.

OBJECTIVE: The aim of this study was to investigate the well-being of people with severe borderline personality disorder (BPD) during the first wave of COVID-19 social restrictions. METHOD: Clients of an outpatient specialist personality disorder clinic (n = 77) were invited to the study. An online survey was conducted including a range of open-ended questions exploring well-being and the Coronavirus Anxiety Scale (CAS) which assesses 'coronaphobia'. Qualitative data were analysed using inductive content analysis with NVivo software. CAS data were analysed descriptively using SPSS version 25. RESULTS: Thirty-six surveys were completed (48% response rate). Many participants experienced significant challenges to their overall well-being during lockdown although some reported improvements in psychosocial functioning. Three participants (8.3%) experienced clinically significant 'coronaphobia'. CONCLUSION: The self-reported physical and mental health of participants with BPD demonstrated resilience, suggesting that the capacity to maintain treatment via telehealth helped to mitigate many of the adverse aspects of social restrictions. This study was conducted during the first wave of social restrictions; subsequent studies will reveal longer-term effects of extended community lockdowns.

Telehealth Treatment of Patients With Borderline Personality Disorder in a Partial Hospital Setting During the COVID-19 Pandemic: Comparative Safety, Patient Satisfaction, and Effectiveness of In-Person Treatment.

There are no studies of the safety and effectiveness of telehealth psychiatric treatment of partial hospital level of care, in general, and for borderline personality disorder (BPD) in particular. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, the authors compared the effectiveness of their partial hospital treatment program in treating patients with BPD. For both the in-person and telehealth partial hospital level of care, patients with BPD were highly satisfied with treatment and reported a significant reduction in symptoms from admission to discharge. Both groups reported a significant improvement in functioning, coping ability, positive mental health, and general well-being. A large effect size of treatment was found in both treatment groups. No patients attempted suicide. Telehealth partial hospital treatment was as effective as in-person treatment in terms of patient satisfaction, symptom reduction, and improved functioning and well-being for patients with BPD.

Provider perspectives on delivering dialectical behavior therapy via telehealth during COVID-19 in the Department of Veterans Affairs.

Dialectical Behavior Therapy (DBT) is an evidence-based psychotherapy (EBP) for repeated suicidal and nonsuicidal self-injury and Borderline Personality Disorder. There has been little research on the effectiveness or implementation of DBT via telehealth. However, literature has demonstrated that other EBPs delivered via telehealth are just as effective as in person. DBT differs from these EBPs in complexity, inclusion of group sessions, length of treatment, and focus on individuals at high risk for suicide. The coronavirus disease 2019 (COVID-19) pandemic caused mental health care services across the country and Department of Veterans Affairs (VA) to transition to telehealth to reduce infection risk for patients and providers. This transition offered an opportunity to learn about implementing DBT via telehealth on a national scale. We conducted a survey of DBT team points of contact in VA (N = 32) to gather information about how DBT via telehealth was being implemented, challenges and solutions, and provider perceptions. The majority reported that their site continued offering the modes of DBT via telehealth that they had offered in person. The predominant types of challenges in transitioning to telehealth were related to technology on the provider and patient side. Despite challenges, most providers reported their experience was better than expected and had positive perceptions of patient acceptability. Skills group was the more difficult mode to provide via telehealth. Providers endorsed needing additional tools (e.g., means to get diary card data electronically). Multiple benefits of DBT via telehealth were identified, such as addressing barriers to care including distance, transportation issues, and caregiving and work responsibilities. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study.

BACKGROUND: The COVID-19 pandemic is impacting mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit. OBJECTIVE: The aim of this study is to leverage natural language processing (NLP) with the goal of characterizing changes in 15 of the world's largest mental health support groups (eg, r/schizophrenia, r/SuicideWatch, r/Depression) found on the website Reddit, along with 11 non-mental health groups (eg, r/PersonalFinance, r/conspiracy) during the initial stage of the pandemic. METHODS: We created and released the Reddit Mental Health Dataset including posts from 826,961 unique users from 2018 to 2020. Using regression, we analyzed trends from 90 text-derived features such as sentiment analysis, personal pronouns, and semantic categories. Using supervised machine learning, we classified posts into their respective support groups and interpreted important features to understand how different problems manifest in language. We applied unsupervised methods such as topic modeling and unsupervised clustering to uncover concerns throughout Reddit before and during the pandemic. RESULTS: We found that the r/HealthAnxiety forum showed spikes in posts about COVID-19 early on in January, approximately 2 months before other support groups started posting about the pandemic. There were many features that significantly increased during COVID-19 for specific groups including the categories "economic stress," "isolation," and "home," while others such as "motion" significantly decreased. We found that support groups related to attention-deficit/hyperactivity disorder, eating disorders, and anxiety showed the most negative semantic change during the pandemic out of all mental health groups. Health anxiety emerged as a general theme across Reddit through independent supervised and unsupervised machine learning analyses. For instance, we provide evidence that the concerns of a diverse set of individuals are converging in this unique moment of history; we discovered that the more users posted about COVID-19, the more linguistically similar (less distant) the mental health support groups became to r/HealthAnxiety (ρ=-0.96, P<.001). Using unsupervised clustering, we found the suicidality and loneliness clusters more than doubled in the number of posts during the pandemic. Specifically, the support groups for borderline personality disorder and posttraumatic stress disorder became significantly associated with the suicidality cluster. Furthermore, clusters surrounding self-harm and entertainment emerged. CONCLUSIONS: By using a broad set of NLP techniques and analyzing a baseline of prepandemic posts, we uncovered patterns of how specific mental health problems manifest in language, identified at-risk users, and revealed the distribution of concerns across Reddit, which could help provide better resources to its millions of users. We then demonstrated that textual analysis is sensitive to uncover mental health complaints as they appear in real time, identifying vulnerable groups and alarming themes during COVID-19, and thus may have utility during the ongoing pandemic and other world-changing events such as elections and protests.

Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on Reddit during COVID-19: an observational study (preprint)

Background: The COVID-19 pandemic is exerting a devastating impact on mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit. Objective: We leverage natural language processing (NLP) with the goal of characterizing changes in fifteen of the world's largest mental health support groups (e.g., r/schizophrenia, r/SuicideWatch, r/Depression) found on the website Reddit, along with eleven non-mental health groups (e.g., r/PersonalFinance, r/conspiracy) during the initial stage of the pandemic. Methods: We create and release the Reddit Mental Health Dataset including posts from 826,961 unique users from 2018 to 2020. Using regression, we analyze trends from 90 text-derived features such as sentiment analysis, personal pronouns, and a “guns” semantic category. Using supervised machine learning, we classify posts into their respective support group and interpret important features to understand how different problems manifest in language. We apply unsupervised methods such as topic modeling and unsupervised clustering to uncover concerns throughout Reddit before and during the pandemic. Results: We find that the r/HealthAnxiety forum showed spikes in posts about COVID-19 early on in January, approximately two months before other support groups started posting about the pandemic. There were many features that significantly increased during COVID-19 for specific groups including the categories “economic stress”, “isolation”, and “home” while others such as “motion” significantly decreased. We find that support groups related to attention deficit hyperactivity disorder (ADHD), eating disorders (ED), and anxiety showed the most negative semantic change during the pandemic out of all mental health groups. Health anxiety emerged as a general theme across Reddit through independent supervised and unsupervised machine learning analyses. For instance, we provide evidence that the concerns of a diverse set of individuals are converging in this unique moment of history; we discover that the more users posted about COVID-19, the more linguistically similar (less distant) the mental health support groups became to r/HealthAnxiety (ρ = -0.96, P<.001). Using unsupervised clustering, we find the Suicidality and Loneliness clusters more than doubled in amount of posts during the pandemic. Specifically, the support groups for borderline personality disorder and post-traumatic stress disorder became significantly associated with the Suicidality cluster. Furthermore, clusters surrounding Self-Harm and Entertainment emerged. Conclusions: By using a broad set of NLP techniques and analyzing a baseline of pre-pandemic posts, we uncover patterns of how specific mental health problems manifest in language, identify at-risk users, and reveal the distribution of concerns across Reddit which could help provide better resources to its millions of users. We then demonstrate that textual analysis is sensitive to uncover mental health complaints as they arise in real time, identifying vulnerable groups and alarming themes during COVID-19, and thus may have utility during the ongoing pandemic and other world-changing events such as elections and protests from the present or the past.