Internet-based cognitive behavior therapy for depression, social anxiety disorder, and panic disorder: Effectiveness and predictors of response in a teaching clinic

Genetic-epigenetic-neuropeptide associations in mood and anxiety disorders: Toward personalized medicine

Mood and anxiety disorders are complex psychiatric conditions shaped by the multifactorial interplay of genetic, epigenetic, and neuropeptide factors. This review aims to elucidate the intricate interactions among these factors and their potential in advancing personalized medicine. We examine the genetic underpinnings, emphasizing key heritability studies and specific gene associations. The role of epigenetics is discussed, focusing on how environmental factors can modify gene expression and contribute to these disorders. Neuropeptides, including substance P, CRF, AVP, NPY, galanin, and kisspeptin, are evaluated for their involvement in mood regulation and their potential as therapeutic targets. Additionally, we address the emerging role of the gut microbiome in modulating neuropeptide activity and its connection to mood disorders. This review integrates findings from genetic, epigenetic, and neuropeptide research, offering a comprehensive overview of their collective impact on mood and anxiety disorders. By highlighting novel insights and potential clinical applications, we underscore the importance of a multi-omics approach in developing personalized treatment strategies. Future research directions are proposed to address existing knowledge gaps and translate these findings into clinical practice. Our review provides a fresh perspective on the pathophysiology of mood and anxiety disorders, paving the way for more effective and individualized therapies.

Easing Panic: The Effect of an Online Psychoeducational Program on Panic Symptoms, Anxiety, and Quality of Life Among People Experiencing Panic Attacks

Panic attacks (PAs) are intense episodes of anxiety with severe physical symptoms that can impair an individual's social and occupational functions. Psychoeducation, a structured educational intervention, aims to improve various health aspects, including mental disorders. Delivering psychoeducation via the Internet can overcome barriers to accessing mental health treatment. This study examined the effectiveness of online psychoeducation on panic symptoms, anxiety, and quality of life (QOL) among people experiencing PAs. In this quasi-experimental design, 157 participants with PAs were recruited, and 136 eligible participants were allocated to treatment and control groups. The treatment group received an eight-session online psychoeducational program over 8 weeks, while the control group received reading materials. Outcome variables, including panic symptoms, anxiety, and QOL, were measured at baseline, 1-week post-intervention, and at 8-week follow-up using the Panic Disorder Dimensional (PD-D) scale, the Generalized Anxiety Disorder (GAD-7) scale, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF), respectively. In the treatment group, the split-plot ANOVA showed a significant reduction in panic symptoms [F(1, 98) = 18.86, p < 0.01] and anxiety [F(1, 98) = 18.241, p < 0.01] compared to the control group. However, the intervention did not significantly affect QOL [F(1, 98) = 0.278, MSE = 153.007, p > 0.05]. The online psychoeducational program effectively reduced panic symptoms and anxiety levels but did not significantly impact QOL. Internet-based interventions, including psychoeducation, can improve access to mental health treatment, potentially reducing the treatment gap and enhancing overall mental health outcomes.

Brief scales for the measurement of target variables and processes of change in cognitive behaviour therapy for major depression, panic disorder and social anxiety disorder

BACKGROUND

The measurement of process variables derived from cognitive behavioural theory can aid treatment development and support the clinician in following treatment progress. Self-report process measures are ideally brief, which reduces the burden on patients and facilitates the implementation of repeated measurements.

AIMS

To develop 13 brief versions (3-6 items) of existing cognitive behavioural process scales for three common mental disorders: major depression, panic disorder, and social anxiety disorder.

METHOD

Using data from a real-world teaching clinic offering internet-delivered cognitive behavior therapy (n=370), we drafted brief process scales and then validated these scales in later cohorts (n=293).

RESULTS

In the validation data, change in the brief process scales significantly mediated change in the corresponding domain outcomes, with standardized coefficient point estimates in the range of -0.53 to -0.21. Correlations with the original process scales were substantial (r=.83-.96), internal consistency was mostly adequate (α=0.65-0.86), and change scores were moderate to large (|d|=0.51-1.18). For depression, the brief Behavioral Activation for Depression Scale-Activation subscale was especially promising. For panic disorder, the brief Agoraphobic Cognitions Questionnaire-Physical Consequences subscale was especially promising. For social anxiety disorder, the Social Cognitions Questionnaire, the Social Probability and Cost Questionnaire, and the Social Behavior Questionnaire-Avoidance and Impression Management subscales were all promising.

CONCLUSIONS

Several brief process scales showed promise as measures of treatment processes in cognitive behaviour therapy. There is a need for replication and further evaluation using experimental designs, in other clinical settings, and preferably in larger samples.

Internet-Based Cognitive-Behavioral Therapy for Individuals Experiencing Panic Attacks: A Scoping Literature Review

Panic attacks (PAs) are prevalent and highly comorbid with various physical and psychological disorders. Cognitive-behavioral therapy (CBT) is a well-established psychosocial intervention. Internet-delivered CBT (ICBT) presents a promising avenue to overcome barriers and provide evidence-based support to those in need. The current scoping review aimed to systematically map the existing literature and identify knowledge gaps regarding the impact of ICBT on outcome measures for individuals experiencing PAs. The PRISMA guidelines for scoping reviews were used. A total of 3,044 records were retrieved, and 18 studies from 2013 to 2023 were ultimately included in the analysis. ICBT demonstrated effectiveness as a psychosocial intervention for improving panic symptoms and anxiety in individuals with PAs. However, the impact of ICBT on quality of life (QOL) remains inconclusive. All studies included in this review focused on assessing the severity of panic symptoms, with limited emphasis on measuring QOL. This scoping review holds significant implications for research and practice. However, further addressing the research needs identified in this review will enhance our understanding and improve treatment outcomes for PAs. [Journal of Psychosocial Nursing and Mental Health Services, 62(4), 9-15.].

Internet-delivered cognitive behaviour therapy for affective disorders, anxiety disorders and somatic conditions: An updated systematic umbrella review

Background

Internet-delivered cognitive behaviour therapy (ICBT), which can involve guidance from a clinician, continues to be a way to deliver psychological treatments. A previous umbrella review identified moderate-to-large effect sizes favouring ICBT compared to control conditions when treating major depression and anxiety disorders. Given the rapid developments in the field, an updated umbrella review of available meta-analyses can show other conditions and subpopulations for which ICBT is effective. The aim of the study was to provide an expanded overview of the efficacy of ICBT for a broader range of adult psychiatric and somatic conditions.

Methods

We conducted an updated search of the literature since the publication of the previous umbrella review back in 2019 and up until March 2024. Five different search engines were used (Medline (OVID), Scopus, Web of Science, Cochrane library and CINAHL). The search was expanded to include additional psychiatric conditions (e.g., suicidal ideation) and somatic conditions (e.g., tinnitus and chronic pain).

Results

Of the 6509 identified articles, 39 meta-analyses met the inclusion criteria. In these meta-analyses 19 unique outcomes were represented. The most common outcome was symptoms of major depressive disorder, followed by symptoms of anxiety. Effect sizes for the comparisons against control conditions ranged between small (e.g., SMD = 0.10 for stress in employees) to large (e.g., SMD = 1.20 for depressive symptoms among older adults).

Conclusions

ICBT can generally reduce symptoms of a wide range of conditions including both psychiatric and somatic conditions, as well as other mental health problems. This updated review of available meta-analyses also indicated that ICBT has been successful in treating symptoms in different subpopulations such as older adults and students. However, some knowledge gaps remain, including the use of ICBT for psychotic disorders, and the quality of the available meta-analyses' points to a need for more stringent methodological procedures.

Guided LGBTQ-affirmative internet cognitive-behavioral therapy for sexual minority youth's mental health: A randomized controlled trial of a minority stress treatment approach

OBJECTIVE

LGBTQ-affirmative cognitive-behavioral therapy (CBT) addresses the adverse impacts of minority stress. However, this treatment has rarely been tested in randomized controlled trials with LGBTQ youth and never using an asynchronous online platform for broad reach. This study examined the feasibility, acceptability, preliminary efficacy, and multi-level stigma moderators of LGBTQ-affirmative internet-based CBT (ICBT).

METHOD

Participants were 120 LGBTQ youth (ages 16-25; 37.5% transgender or non-binary; 75.8% assigned female at birth; 49.2% non-Latino White) living across 38 U.S. states and reporting depression and/or anxiety symptoms. Participants were randomized to receive 10 sessions of LGBTQ-affirmative ICBT or only complete 10 weekly assessments of mental and behavioral health and minority stress; all completed measures of psychological distress, depression, anxiety, suicidal thoughts, alcohol use, and HIV-transmission-risk behavior at baseline and 4 and 8 months post-baseline; 20 LGBTQ-affirmative ICBT participants completed a qualitative interview regarding intervention acceptability.

RESULTS

Participants randomized to LGBTQ-affirmative ICBT completed, on average, 6.08 (SD = 3.80) sessions. Participants reported that LGBTQ-affirmative ICBT was helpful and engaging and provided suggestions for enhancing engagement. Although most outcomes decreased over time, between-group comparisons were small and non-significant. LGBTQ-affirmative ICBT was more efficacious in reducing psychological distress than assessment-only for participants in counties high in anti-LGBTQ bias (b = -1.73, p = 0.001, 95% CI [-2.75, -0.70]). Session dosage also significantly predicted reduced depression and anxiety symptoms.

CONCLUSIONS

LGBTQ-affirmative ICBT represents a feasible and acceptable treatment. Future research can identify more efficacious approaches and modalities for engaging LGBTQ youth, especially those living under stigmatizing conditions, who might benefit most.

Who benefits from guided internet-based interventions? A systematic review of predictors and moderators of treatment outcome

To our knowledge, no systematic review has been conducted on predictors or moderators of treatment outcome across diagnoses in guided internet-based interventions (IBIs) for adults. To identify who benefits from this specific format and therein inform future research on improving patient-treatment fit, we aimed to aggregate results of relevant studies. 2100 articles, identified by searching the databases PsycInfo, Ovid Medline, and Pubmed and through snowballing, were screened in April/May 2021 and October 2022. Risk of bias and intra- and interrater reliability were assessed. Variables were grouped by predictor category, then synthesized using vote counting based on direction of effect. N = 60 articles were included in the review. Grouping resulted in 88 predictors/moderators, of which adherence, baseline symptoms, education, age, and gender were most frequently assessed. Better adherence, treatment credibility, and working alliance emerged as conclusive predictors/moderators for better outcome, whereas higher baseline scores predicted more reliable change but higher post-treatment symptoms. Results of all other predictors/moderators were inconclusive or lacked data. Our review highlights that it is currently difficult to predict, across diagnoses, who will benefit from guided IBIs. Further rigorous research is needed to identify predictors and moderators based on a sufficient number of studies. PROSPERO registration: CRD42021242305.

Guided Internet-Delivered Treatment for Depression: Scoping Review

BACKGROUND

Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder.

OBJECTIVE

The aim of this study was to provide an overview of this research area and identify potential gaps in the research.

METHODS

In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition.

RESULTS

A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion.

CONCLUSIONS

This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.

Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data

This study applied supervised machine learning with multi-modal data to predict remission of major depressive disorder (MDD) after psychotherapy. Genotyped adult patients (n = 894, 65.5% women, age 18-75 years) diagnosed with mild-to-moderate MDD and treated with guided Internet-based Cognitive Behaviour Therapy (ICBT) at the Internet Psychiatry Clinic in Stockholm were included (2008-2016). Predictor types were demographic, clinical, process (e.g., time to complete online questionnaires), and genetic (polygenic risk scores). Outcome was remission status post ICBT (cut-off ≤10 on MADRS-S). Data were split into train (60%) and validation (40%) given ICBT start date. Predictor selection employed human expertise followed by recursive feature elimination. Model derivation was internally validated through cross-validation. The final random forest model was externally validated against a (i) null, (ii) logit, (iii) XGBoost, and (iv) blended meta-ensemble model on the hold-out validation set. Feature selection retained 45 predictors representing all four predictor types. With unseen validation data, the final random forest model proved reasonably accurate at classifying post ICBT remission (Accuracy 0.656 [0.604, 0.705], P vs null model = 0.004; AUC 0.687 [0.631, 0.743]), slightly better vs logit (bootstrap D = 1.730, P = 0.084) but not vs XGBoost (D = 0.463, P = 0.643). Transparency analysis showed model usage of all predictor types at both the group and individual patient level. A new, multi-modal classifier for predicting MDD remission status after ICBT treatment in routine psychiatric care was derived and empirically validated. The multi-modal approach to predicting remission may inform tailored treatment, and deserves further investigation to attain clinical usefulness.

Age, Motivation, and Emotion Regulation Skills Predict Treatment Outcome in an Internet-Based Self-Help Intervention for COVID-19 Related Psychological Distress

Introduction

First evidence suggests that internet-based self-help interventions effectively reduce COVID-19 related psychological distress. However, it is yet unclear which participant characteristics are associated with better treatment outcomes. Therefore, we conducted secondary analyses on data from a randomized controlled trial investigating the efficacy of a 3-week internet-based self-help intervention for COVID-19 related psychological distress. In this exploratory analysis, we examined several predictors ranging from sociodemographic variables to psychological distress, resource-related, and treatment-related variables. This includes, for example, age, motivation, and emotion regulation skills. Treatment outcomes were defined as post-treatment depressive symptoms and post-treatment resilience.

Methods

In a total of 107 participants with at least mild depressive symptoms, possible predictor variables and treatment outcomes were assessed using self-report measures. For example, emotion regulation skills were assessed by the Self-report measure for the assessment of emotion regulation skills. In a first step, we performed a separate linear regression analysis for each potential predictor. In a second step, predictors meeting a significant threshold of p < 0.05 were entered in linear multiple regression models. Baseline scores of the respective outcome measure were controlled for.

Results

The mean age of the participants was 40.36 years (SD = 14.59, range = 18–81 years) with the majority being female (n = 87, 81.3%). Younger age predicted lower post-treatment depressive symptoms. Additionally, higher motivation to use the intervention and better pre-treatment emotion regulation skills predicted higher post-treatment resilience.

Conclusion

The current study provides preliminary evidence regarding the relationship between participant characteristics and treatment outcome in internet-based self-help interventions for COVID-19 related distress. Our results suggest that under the circumstances surrounding COVID-19 such interventions might be particularly beneficial for young adults regarding depressive symptoms. Moreover, focusing on participants' existing strengths might be a promising approach to promote resilience through internet-based self-help interventions. However, since this was an exploratory analysis in an uncontrolled setting, further studies are needed to draw firm conclusions about the relationship of participant characteristics and treatment outcome in internet-based self-help interventions for COVID-19 related psychological distress.

Mothers and Babies Online Course: Participant Characteristics and Behaviors in a Web-Based Prevention of Postpartum Depression Intervention

Despite the availability of evidence-based postpartum depression (PPD) prevention and treatment interventions, perinatal persons continue to suffer. eHealth and mHealth tools to address mental health issues have grown exponentially, especially given the ubiquity of technology and the increased demand for telemental health resources. The Mothers and Babies Online Course (eMB), an 8-lesson prevention of PPD intervention, was digitally adapted to expand the reach of evidence-based interventions to perinatal persons with limited access to maternal mental health resources. This report describes the characteristics, behaviors, and feedback provided by users of the updated eMB website. Two hundred eight predominantly English-speaking U.S. residents enrolled in the eMB. Thirty-seven percent were either pregnant (n = 38) or postpartum (n = 39) women interested in learning skills to manage changes in their mood during and after pregnancy; 63% were health providers (n = 131) interested in learning how to support their patient communities. Seventy-six percent (n = 159) viewed at least one of the eight eMB lessons, with 50.9% exclusively viewing Lesson 1. Few (4.4%) viewed all eight lessons. The lessons were rated favorably on usefulness and understanding. Perinatal women engaged with interactive content at higher rates than health providers. Examining user behaviors and feedback is an essential developmental step before empirically testing the efficacy of digital tools. Future iterations of the eMB will incorporate these preliminary findings to provide perinatal persons with accessible web-based interventions that will hopefully reduce the incidence and negative consequences of postpartum depression.

Internet-based stress recovery intervention FOREST for healthcare staff amid COVID-19 pandemic: study protocol for a randomized controlled trial

BACKGROUND

The demand for care during the COVID-19 pandemic has affected the mental health of healthcare workers (HCWs), thus increasing the need for psychosocial support services. Internet-based interventions have previously been found to reduce occupational stress. The study aims to test the effects of an Internet-based stress recovery intervention-FOREST-among HCWs.

METHODS

A randomized controlled trial (RCT) parallel group design with three measurement points will be conducted to assess the efficacy of an Internet-based stress recovery intervention FOREST for nurses. The FOREST intervention is a 6-week Internet-based CBT and mindfulness-based program which comprises of six modules: (1) Introduction, (2) Detachment (relaxation and sleep), (3) Distancing, (4) Mastery (challenge), (5) Control, and (6) Keeping the change alive. We will compare the intervention against a waiting list group at pre-test, post-test, and follow-up. Stress recovery, PTSD, complex PTSD, moral injury, the level of stress, depression, anxiety, and psychological well-being will be measured.

DISCUSSION

The study will contribute to the development of mental healthcare programs for the HCWs. Based on the outcomes of the study, the FOREST intervention can be further developed or offered to healthcare staff as a tool to cope with occupational stress.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04817995 . Registered on 30 March 2021.

Acceptability and Effectiveness of Artificial Intelligence Therapy for Anxiety and Depression (Youper): Longitudinal Observational Study

Background

Youper is a widely used, commercially available mobile app that uses artificial intelligence therapy for the treatment of anxiety and depression.

Objective

Our study examined the acceptability and effectiveness of Youper. Further, we tested the cumulative regulation hypothesis, which posits that cumulative emotion regulation successes with repeated intervention engagement will predict longer-term anxiety and depression symptom reduction.

Methods

We examined data from paying Youper users (N=4517) who allowed their data to be used for research. To characterize the acceptability of Youper, we asked users to rate the app on a 5-star scale and measured retention statistics for users’ first 4 weeks of subscription. To examine effectiveness, we examined longitudinal measures of anxiety and depression symptoms. To test the cumulative regulation hypothesis, we used the proportion of successful emotion regulation attempts to predict symptom reduction.

Results

Youper users rated the app highly (mean 4.36 stars, SD 0.84), and 42.66% (1927/4517) of users were retained by week 4. Symptoms decreased in the first 2 weeks of app use (anxiety: d=0.57; depression: d=0.46). Anxiety improvements were maintained in the subsequent 2 weeks, but depression symptoms increased slightly with a very small effect size (d=0.05). A higher proportion of successful emotion regulation attempts significantly predicted greater anxiety and depression symptom reduction.

Conclusions

Youper is a low-cost, completely self-guided treatment that is accessible to users who may not otherwise access mental health care. Our findings demonstrate the acceptability and effectiveness of Youper as a treatment for anxiety and depression symptoms and support continued study of Youper in a randomized clinical trial.