Recurrence of anxiety disorders and its predictors

How to maintain recovery following low-intensity interventions for anxiety and/or depression? A qualitative exploration through perspectives of professionals and stakeholders

BACKGROUND

Globally, 301 million people have anxiety disorders and 280 million have depression. Talking therapies are the preferred option against pharmacological treatment for these populations. In the UK, over half of those who received low-intensity evidence-based talking therapy for anxiety and/or depression relapsed within a year. This study explored practitioners and stakeholders' perspectives on current practices routinely use to maintain recovery over time and identified opportunities to improve long-term treatment effectiveness in NHS Talking Therapies services.

METHODS

This is a qualitative study using semi-structured interviews. Twenty-five participants were interviewed remotely. Data were analysed deductively using the Consolidated Framework for Implementation Research (CFIR) and inductively to allow emerging codes that did not map into the framework.

RESULTS

Of the 36 CFIR domains, 27 were evidenced in the data, and 17 new constructs were developed. Data emphasised the absence of standardised approaches in addressing relapse prevention, limitations on available resources, the need for further training, the importance of defining recovery beyond clinical symptoms, and recommendations were identified to support recovery over time.

LIMITATIONS

The sample comprised primarily White British females, reflecting the current workforce. Those interested in participating may have resulted in social desirability biases. Furthermore, focussing on professional perspectives may not represent service user experiences.

CONCLUSIONS

All participants agreed on the importance of interventions targeting recovery over time and emphasised the need for effective training and resources to support professionals and patients in sustaining treatment gains over time. Cost-effective interventions targeting long-term recovery could prove fruitful to improve current provision.

Enhanced diagnostics for generalized anxiety disorder: leveraging differential channel and functional connectivity features based on frontal EEG signals

Generalized Anxiety Disorder (GAD) is a chronic anxiety condition characterized by persistent excessive worry, anxiety, and fear. Current diagnostic practices primarily rely on clinicians' subjective assessments and experience, highlighting a need for more objective and reliable methods. This study collected 10-minute resting-state electroencephalogram (EEG) from 45 GAD patients and 36 healthy controls (HC), focusing on six frontal EEG channels for preprocessing, data segmentation, and frequency band division. Innovatively, this study introduced the "Differential Channel" method, which enhances classification performance by enhancing the information related to anxiety from the data, thereby highlighting signal differences. Utilizing the preprocessed EEG signals, undirected functional connectivity features (Phase Lag Index, Pearson Correlation Coefficient, and Mutual Information) and directed functional connectivity features (Partial Directed Coherence) were extracted. Multiple machine learning models were applied to distinguish between GAD patients and HC. The results show that the Deep Forest classifier achieves excellent performance with a 12-second time window of DiffFeature. In particular, the classification of GAD and HC was successfully obtained by combining OriFeature and DiffFeature on Mutual Information with a maximum accuracy of 98.08%. Furthermore, it was observed that undirected functional connectivity features significantly outperformed directed functional connectivity when fewer frontal channels were used. Overall, the methodologies developed in this study offer accurate and practical identification strategies for the early screening and clinical diagnosis of GAD, offering the necessary theoretical and technical support for further enhancing the portability of EEG devices.

Pupillary Responses to Dynamic Negative Versus Positive Facial Expressions of Emotion in Children and Parents: Links to Depression and Anxiety

Witnessing emotional expressions in others triggers physiological arousal in humans. The current study focused on pupil responses to emotional expressions in a community sample as a physiological index of arousal and attention. We explored the associations between parents' and offspring's responses to dynamic facial expressions of emotion, as well as the links between pupil responses and anxiety/depression. Children (N = 90, MAge = 10.13, range = 7.21-12.94, 47 girls) participated in this lab study with one of their parents (47 mothers). Pupil responses were assessed in a computer task with dynamic happy, angry, fearful, and sad expressions, while participants verbally labeled the emotion displayed on the screen as quickly as possible. Parents and children reported anxiety and depression symptoms in questionnaires. Both parents and children showed stronger pupillary responses to negative versus positive expressions, and children's responses were overall stronger than those of parents. We also found links between the pupil responses of parents and children to negative, especially to angry faces. Child pupil responses were related to their own and their parents' anxiety levels and to their parents' (but not their own) depression. We conclude that child pupils are sensitive to individual differences in parents' pupils and emotional dispositions in community samples.

Safety signals reinforce instrumental avoidance in humans

Safety signals reinforce instrumental avoidance behavior in nonhuman animals. However, there are no conclusive demonstrations of this phenomenon in humans. Using human participants in an avoidance task, Experiments 1-3 and 5 were conducted online to assess the reinforcing properties of safety signals, and Experiment 4 was conducted in the laboratory. Participants were trained with CSs+ and CSs-, and they could avoid an aversive outcome during presentations of the CSs+ by pressing their space bar at a specific time. If successful, the aversive outcome was not presented but instead a safety signal was. Participants were then tested-whilst on extinction-with two new ambiguous test CSs. If participants made an avoidance response, one of the test CSs produced the trained safety signal and the other was a control. In Experiments 1 and 4, the control was followed by no signal. In Experiment 2, the control was followed by a signal that differed in one dimension (color) with the trained safety signal, and in Experiment 3, the control differed in two dimensions (shape and color) from the trained safety signal. Experiment 5 tested the reinforcing properties of the safety signal using a choice procedure and a new response during test. We observed that participants made more avoidance responses to the ambiguous test CSs when followed by the trained signal in Experiments 1, 3, 4, and 5 (but not in Experiment 2). Overall, these results suggest that trained safety signals can reinforce avoidance behavior in humans.

Risk Groups and Psychosocial Factors for the Pandemic (COVID-19)

COVID-19, which started in 2019 and affected the whole world, has affected everyone at different intensities and in different ways. COVID-19, which is considered a pandemic, has turned into a major public health problem in terms of its consequences and has affected people biopsychosocially. However, people in risk groups may be affected more. This study was conducted to reveal the risk groups for the pandemic and to determine the psychosocial factors. Data were collected online using the relational screening model and snowball sampling methods. A Sociodemographic Information Form, COVID-19 Pandemic Psychosocial Impact Scale (C19-PPIS), and International Personality Inventory Short Form (IPISV) were sent online to 826 participants. Data were analysed using an independent sample t-test, a one-way ANOVA test, and the Pearson Correlation analysis. According to the results, young adults (X¯ = 2.77), women (X¯ = 2.79), singles (X¯ = 2.78), those who are unemployed (X¯ = 2.89), and those who had to change their home or city due to the pandemic (X¯ = 2.89) were more affected by the pandemic. Psychological support was the support system needed the most during the pandemic (X¯ = 3.04). In addition, a negative relationship was found between an extroverted personality and psychosocial impact from the pandemic (r = -0.148 and p < 0.01). A positive relationship was found between introversion (r = 0.183 and p < 0.01), agreeableness (r = 0.078 and p < 0.05), hostility (r = 0.094 and p < 0.01), disorganisation (r = 0.237 and p < 0.01), openness to development (r = 0.80 and p < 0.05), closed off to development (r = 0.070 and p < 0.05), emotional instability personality (r = 0.498 and p < 0.01), and psychosocial impact from the pandemic. This study has revealed important results regarding who has been most affected psychosocially by COVID-19. It is thought that the results obtained can guide state policies on what should be done in the field of preventive community mental health in another possible epidemic.

Adolescent social anxiety is associated with diminished discrimination of anticipated threat and safety in the bed nucleus of the stria terminalis

Social anxiety-which typically emerges in adolescence-lies on a continuum and, when extreme, can be devastating. Socially anxious individuals are prone to heightened fear, anxiety, and the avoidance of contexts associated with potential social scrutiny. Yet most neuroimaging research has focused on acute social threat. Much less attention has been devoted to understanding the neural systems recruited during the uncertain anticipation of potential encounters with social threat. Here we used a novel fMRI paradigm to probe the neural circuitry engaged during the anticipation and acute presentation of threatening faces and voices in a racially diverse sample of 66 adolescents selectively recruited to encompass a range of social anxiety and enriched for clinically significant levels of distress and impairment. Results demonstrated that adolescents with more severe social anxiety symptoms experience heightened distress when anticipating encounters with social threat, and reduced discrimination of uncertain social threat and safety in the bed nucleus of the stria terminalis (BST), a key division of the central extended amygdala (EAc). Although the EAc-including the BST and central nucleus of the amygdala-was robustly engaged by the acute presentation of threatening faces and voices, the degree of EAc engagement was unrelated to the severity of social anxiety. Together, these observations provide a neurobiologically grounded framework for conceptualizing adolescent social anxiety and set the stage for the kinds of prospective-longitudinal and mechanistic research that will be necessary to determine causation and, ultimately, to develop improved interventions for this often-debilitating illness.

Social concerns about anxious arousal explain the association between neural responses to anxious arousal pictures and social anxiety

Cognitive theories propose that social anxiety disorder involves heightened attention to anxious arousal symptoms due to worries that they may evoke rejection from others. Supporting this, studies have shown that social anxiety is related to greater attention to representations of anxious arousal and to anxiety sensitivity social concerns, which refers to sensitivity to feelings of anxious arousal during social situations. However, this has not yet been tested using neural indices of attention to images depicting anxious arousal. To examine these associations, the current study examined early and sustained attentional bias to anxious arousal images using the P2 and the late positive potential (LPP), respectively. Electroencephalogram data were collected while a non-clinical sample of undergraduate students (N = 106) viewed images of people exhibiting anxious arousal in addition to blocks of negative and neutral images from the IAPS. The neural response to anxious arousal images was isolated using residual scores (e.g., using linear regression to predict the P2 elicited by anxious arousal images from the P2 elicited by neutral images (P2neutral→AA) or negative images (P2negative→AA), then saving the unstandardized residuals). There was an indirect effect of the P2neutral→AA and P2negative→AA waveforms that was explained by anxiety sensitivity social concerns. Additionally, there was an indirect effect of both LPP waveforms on social anxiety symptoms during the early time window of the LPP (400-700 ms). At the later time window of the LPP (700-1000 ms), there was an indirect effect of the LPPneutral→AA residual waveform, but not the LPPnegative→AA, on social anxiety symptoms.

Status after Hospital Discharge: An Observational Study of the Progression of Patients' Mental Health Symptoms Six Weeks after Hospital Discharge

(1) Background: Transitioning from mental health inpatient care to community care is often a vulnerable time in the treatment process where additional risks and anxiety may arise. We collected data for this study as part of a pragmatic cluster-randomized, longitudinal approach in Alberta. As the first phase of the ongoing innovative supportive program, this paper assessed the progression of mental health symptoms in patients six weeks after hospital discharge. Factors that may contribute to the presence or absence of anxiety and depression symptoms, as well as well-being, following return to the community were investigated. This provides evidence and baseline data for future phases of the project. (2) Methods: An observational study design was adopted for this study. Data on a variety of sociodemographic and clinical factors were collected at discharge and six weeks after via REDCap. Anxiety, depression, and well-being symptoms were assessed using the Generalized Anxiety Disorder (GAD-7) questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the World Health Organization-Five Well-Being Index (WHO-5), respectively. Descriptive, chi-square, independent t-tests, and multivariate regression analyses were conducted. (3) Result: The survey was completed by 88 out of 306 participants (28.8% response rate). The chi-square/Fisher exact test and independent t-test revealed no significant change in the mental health conditions from baseline to six weeks after discharge. It was found that the only significant factor predicting symptoms six weeks after discharge from inpatient treatment was the baseline symptoms in all three logistic regression models. It was four times more likely for those who experienced anxiety and depression at baseline to experience anxiety and depression symptoms six weeks after discharge (OR = 4.27; 95% CI: 1.38-13.20) (OR = 4.04; 95% CI: 1.25-13.05). Those with poor baseline well-being were almost 12 times more likely to experience poor well-being six weeks after discharge (OR = 11.75; 95% CI: 3.21-42.99). (4) Conclusions: Study results found no significant change in mental health conditions in the short term following hospital discharge. It is essential that researchers and policymakers collaborate in order to implement effective interventions to support and maintain the mental health conditions of patients following discharge.

Developmental Epidemiology of Pediatric Anxiety Disorders

This review summarizes the developmental epidemiology of childhood and adolescent anxiety disorders. It discusses the coronavirus disease of 2019 (COVID-19) pandemic, sex differences, longitudinal course, and stability of anxiety disorders in addition to recurrence and remission. The trajectory of anxiety disorders-whether homotypic (ie, the same anxiety disorder persists over time) or heterotypic (ie, an anxiety disorder shifts to a different diagnosis over time) is discussed with regard to social, generalized, and separation anxiety disorders as well as specific phobia, and panic disorder. Finally, strategies for early recognition, prevention, and treatment of disorders are discussed.

Associations between Pharmacological Treatment Patterns during the Initial Treatment Period and the Relapse or Recurrence of Anxiety Disorders: A Nationwide Retrospective Cohort Study

Although the importance of proper pharmacological treatment for preventing the relapse/recurrence of anxiety disorders is well known, a real-world data-based study has not been conducted. We aimed to investigate the effect of the initial pharmacological patterns related to continuous treatment and the choice of medication on the relapse/recurrence of anxiety disorders. We used claim data from the Health Insurance Review and Assessment Service, South Korea, of 34,378 adults who received psychiatric medications, including antidepressants, after being newly diagnosed with anxiety disorders. We compared the relapse/recurrence rate in the patients receiving continuous pharmacological treatment with those who discontinued treatment early using Cox's proportional-hazards model. Patients receiving continuous pharmacological treatment experienced a higher risk of relapse/recurrence than those who discontinued treatment. Using three or more antidepressants during the initial treatment period decreased the risk of relapse/recurrence (adjusted hazard ratio (aHR) = 0.229 (0.204-0.256)); however, the combined use of antidepressants from the beginning of treatment increased the risk (aHR = 1.215 (1.131-1.305)). Factors other than continuous pharmacological treatment should be considered to effectively prevent the relapse/recurrence of anxiety disorders. The active use of antidepressants, including switching or adding medications based on progress and frequent follow-up visits during the acute phase, were significantly associated with a reduction in the relapse/recurrence of anxiety disorders.

Recurrence of anxiety disorders and its predictors in the general population

BACKGROUND

Anxiety disorders frequently recur in clinical populations, but the risk of recurrence of anxiety disorders is largely unknown in the general population. In this study, recurrence of anxiety and its predictors were studied in a large cohort of the adult general population.

METHODS

Baseline, 3-year and 6-year follow-up data were derived from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2). Respondents (N = 468) who had been in remission for at least a year prior to baseline were included. Recurrence was assessed at 3 and 6 years after baseline, using the Composite International Diagnostic Interview version 3.0. Cumulative recurrence rates were estimated using the number of years since remission of the last anxiety disorder. Furthermore, Cox regression analyses were conducted to investigate predictors of recurrence, using a broad range of putative predictors.

RESULTS

The estimated cumulative recurrence rate was 2.1% at 1 year, 6.6% at 5 years, 10.6% at 10 years, and 16.2% at 20 years. Univariate regression analyses predicted a shorter time to recurrence for several variables, of which younger age at interview, parental psychopathology, neuroticism and a current depressive disorder remained significant in the, age and gender-adjusted, multivariable regression analysis.

CONCLUSIONS

Recurrence of anxiety disorders in the general population is common and the risk of recurrence extends over a lengthy period of time. In clinical practice, alertness to recurrence, monitoring of symptoms, and quick access to health care in case of recurrence are needed.

Do better nights lead to better days? Guided internet-based cognitive behavioral therapy for insomnia in people suffering from a range of mental health problems: Protocol of a pragmatic randomized clinical trial

BACKGROUND

Insomnia is the transdiagnostically shared most common complaint in disorders of anxiety, stress and emotion regulation. Current cognitive behavioral therapies (CBT) for these disorders do not address sleep, while good sleep is essential for regulating emotions and learning new cognitions and behaviours: the core fundaments of CBT. This transdiagnostic randomized control trial (RCT) evaluates whether guided internet-delivered cognitive behavioral therapy for insomnia (iCBT-I) (1) improves sleep, (2) affects the progression of emotional distress and (3) enhances the effectiveness of regular treatment of people with clinically relevant symptoms of emotional disorders across all mental health care (MHC) echelons.

METHODS

We aim for 576 completers with clinically relevant symptoms of insomnia as well as at least one of the dimensions of generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder (PD), posttraumatic stress disorder (PTSD) or borderline personality disorder (BPD). Participants are either pre-clinical, unattended, or referred to general- or specialized MHC. Using covariate-adaptive randomization, participants will be assigned to a 5 to 8-week iCBT-I (i-Sleep) or a control condition (sleep diary only) and assessed at baseline, and after two and eight months. The primary outcome is insomnia severity. Secondary outcomes address sleep, severity of mental health symptoms, daytime functioning, mental health protective lifestyles, well-being, and process evaluation measures. Analyses use linear mixed-effect regression models.

DISCUSSION

This study can reveal for whom, and at which stage of disease progression, better nights could mean substantially better days.

TRIAL REGISTRATION

International Clinical Trial Registry Platform (NL9776). Registered on 2021-10-07.

Feasibility of the virtual reality-based assessments in patients with panic disorder

Introduction

Recurrences and diagnostic instability of panic disorder (PD) are common and have a negative effect on its long-term course. Developing a novel assessment tool for anxiety that can be used in a multimodal approach may improve these problems in panic disorder patients. This study assessed the feasibility of virtual reality-based assessment in panic disorder (VRA-PD).

Methods

Twenty-five patients with PD (ANX group) and 28 healthy adults (CON group) participated in the study. VRA-PD consisted of four modules based on the key components of cognitive behavior therapy for an anxiety disorder: "Baseline evaluation module" (M0), "Daily environment exposure module" (M1), "Relaxation module" (M2), and "Interoceptive exposure module" (M3). Multiple evaluations, including self-rating anxiety scores (AS) and physiological responses [heart rate variability (HRV) index], were performed in three steps at M1, M2, and M3, and once at M0. Comparisons between patients with PD and healthy controls, factor analysis of variables in VRA-PD, changes in responses within modules, and correlation analysis between variables in VRA-PD and anxiety symptoms assessed by psychological scales were performed.

Results

All participants completed the VRA-PD without discontinuation. The ANX group reported significantly higher AS for all steps and a smaller HRV index in M1 (steps 1 and 2) and M2 (step 1). Repeated-measures analysis of covariance (ANCOVA) revealed significant interaction effects for AS in M1 (F = 4.09, p = 0.02) and M2 (F = 4.20, p = 0.02), and HRV index in M2 (F = 16.22, p < 0.001) and M3 (F = 21.22, p = 0.02). The HRV index only indicated a good model fit for the three-factor model, reflecting the construct of the VRA-PD. Both AS and HRV indexes were significantly correlated with anxiety and depression symptoms.

Discussion

The current study provides preliminary evidence that the VRA-PD could be a valid anxiety behavior assessment tool.

HDAC1-mediated regulation of GABA signaling within the lateral septum facilitates long-lasting social fear extinction in male mice

Social anxiety disorder (SAD) is caused by traumatic social experiences. It is characterized by intense fear and avoidance of social contexts, which can be robustly mimicked by the social fear conditioning (SFC) paradigm. The extinction phase of the SFC paradigm is akin to exposure therapy for SAD and requires learning to disassociate the trauma with the social context. Learning-induced acetylation of histones is critical for extinction memory formation and its endurance. Although class I histone deacetylases (HDACs) regulate the abovementioned learning process, there is a lack of clarity in isoforms and spatial specificity in HDAC function in social learning. Utilizing the SFC paradigm, we functionally characterized the role of HDAC1, specifically in the lateral septum (LS), in regulating the formation of long-term social fear extinction memory. We measured a local increase in activity-inducing HDAC1 phosphorylation at serine residues of social fear-conditioned (SFC⁺) mice in response to the extinction of social fear. We also found that LS-HDAC1 function negatively correlates with acute social fear extinction learning using pharmacological and viral approaches. Further, inhibition of LS-HDAC1 enhanced the expression of the GABA-A receptor β1 subunit (Gabrb1) in SFC⁺ mice, and activation of GABA-A receptors facilitated acute extinction learning. Finally, the facilitation of extinction learning by HDAC1 inhibition or GABA-A receptor activation within the LS led to the formation of long-lasting extinction memory, which persisted even 30 days after extinction. Our results show that HDAC1-mediated regulation of GABA signaling in the LS is crucial for the formation of long-lasting social fear extinction memory.

SSRI withdrawal syndrome in children and adolescents: a narrative literature review

INTRODUCTION

While there is considerable published evidence regarding the nature and severity of Selective Serotonin Reuptake Inhibitor (SSRI) discontinuation symptoms in the adult population, information relating to the child and adolescent population remains scarce. This narrative review examined the published literature on SSRI withdrawal symptoms in the under-18-year-old age group. MEDLINE and PsycINFO were comprehensively searched from inception to 5 May 2023.

AREAS COVERED

This review highlights the importance of recognizing SSRI withdrawal in children and adolescents and summarizes available literature and guidelines for safe discontinuation.

EXPERT OPINION

Evidence of the presence of SSRI withdrawal phenomenon in children and adolescents mainly originates from case reports and extrapolated adult data. Existing data on SSRI withdrawal syndrome in children and adolescents is therefore limited, and there is a need for formal research in this specific population to establish with more certainty the nature and extent of SSRI withdrawal syndrome. Nevertheless, there is currently enough evidence available for prescribing clinicians to provide psychoeducation to patients and families about the possibility of withdrawal symptoms when SSRI treatment is considered. The need for gradual and planned discontinuation should also be discussed for safe withdrawal.

Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: a protocol of the StayFine RCT

INTRODUCTION

Youth in remission of depression or anxiety have high risks of relapse. Relapse prevention interventions may prevent chronicity. Aim of the study is therefore to (1) examine efficacy of the personalised StayFine app for remitted youth and (2) identify high-risk groups for relapse and resilience.

METHOD AND ANALYSIS

In this Dutch single-blind parallel-group randomised controlled trial, efficacy of app-based monitoring combined with guided app-based personalised StayFine intervention modules is assessed compared with monitoring only. In both conditions, care as usual is allowed. StayFine modules plus monitoring is hypothesised to be superior to monitoring only in preventing relapse over 36 months. Participants (N=254) are 13-21 years and in remission of depression or anxiety for >2 months. Randomisation (1:1) is stratified by previous treatment (no treatment vs treatment) and previous episodes (1, 2 or >3 episodes). Assessments include diagnostic interviews, online questionnaires and monitoring (ecological momentary assessment with optional wearable) after 0, 4, 12, 24 and 36 months. The StayFine modules are guided by certified experts by experience and based on preventive cognitive therapy and ingredients of cognitive behavioural therapy. Personalisation is based on shared decision-making informed by baseline assessments and individual symptom networks. Time to relapse (primary outcome) is assessed by the Kiddie Schedule for Affective Disorders and Schizophrenia-lifetime version diagnostic interview. Intention-to-treat survival analyses will be used to examine the data. Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes.

ETHICS, FUNDING AND DISSEMINATION

The study was approved by METC Utrecht and is funded by the Netherlands Organisation for Health Research and Development (636310007). Results will be submitted to peer-reviewed scientific journals and presented at (inter)national conferences.

TRIAL REGISTRATION NUMBER

NCT05551468; NL8237.

Associations of greenness surrounding schools and self-reported depressive and anxiety symptoms in Chinese adolescents

BACKGROUND

The effect of school-based greenness exposure on mental health among adolescents remains unclear. The study aimed to estimate the associations between school-based greenness and depressive and anxiety symptoms among adolescents and explore potential modifier and mediator between the associations.

METHODS

A cross-sectional survey involving 15,559 adolescents was conducted in China. The Chinese version of the Center for Epidemiologic Studies Depression 9-Item Scale and the Generalized Anxiety Disorder 7-Item Scale were used to assess the depressive and anxiety symptoms among adolescents. The Normalized Difference Vegetation Index within a 400 m and 800 m zone surrounding schools was used to indicate the adolescents' exposure to greenness. We estimated daily concentrations of PM_1.0, PM_2.5, and NO₂ from the China High Air Pollutants dataset. Multiple logistic regression models were used.

RESULTS

Higher exposure to greenness surrounding schools was negatively associated with depressive (OR: 0.774, 95%CI: 0.685-0.875) and anxiety symptoms (0.740, 0.669-0.818). We observed stronger associations between greenness and depressive and anxiety symptoms among girls, lower age group (11-15 years), and adolescents born to parents with lower education levels. PM_1.0 (proportion mediated estimates: 14.3 %; 95 % CI: 4.2 %, 24.5 %) and PM_2.5 (10.5 %; 95 % CI: 3.0 %, 17.9 %) mediated the associations between greenness exposure and depressive symptoms. The number of days adolescents attended physical education classes per week mediated -22.8 % (95 % CI: -38.5 %, -7.1 %) and -9.7 % (95 % CI: -15.5 %, -3.8 %) of the effects of greenness on depressive and anxiety symptoms.

CONCLUSIONS

Increasing the greenness and improving the environment surrounding schools is effective in promoting the mental health of adolescents.

Patients' symptoms and strengths as predictors of long-term outcomes of CBT for generalized anxiety disorder - A three-level, multi-predictor analysis

Although cognitive behavioral therapy (CBT) is an effective treatment for generalized anxiety disorder (GAD), GAD often shows a chronic clinical course and common deterioration after treatment. Many trials have examined the efficacy of treatments in GAD, but little is known about intake predictors of long-term treatment outcomes. This study examined potential predictors of long-term treatment outcomes based on the individual's symptom severity and strengths (behavioral, cognitive, interpersonal) at intake. Long-term outcomes were defined as worry at six-month follow-up (six-m FU) and worry decrease from intake and post-treatment to six-m FU. Data from 137 CBT outpatients with a GAD diagnosis from two randomized clinical trials were analyzed using three-level hierarchical linear modeling. Results revealed that worrying decreased up to the six-m FU. In single-predictor models, intake symptom severity and strength measures predicted worry at the six-m FU. In multi-predictor models, only behavioral strengths remained a significant predictor. Worry decrease from intake to the six-m FU was only predicted by behavioral strengths. These findings provide relevant information about intake predictors of long-term outcomes after CBT for GAD and underscore the potential relevance of assessing patients' strengths for clinical practice.

How chronic are depressive and anxiety disorders? 9-year general population study using narrow and broad course outcomes

BACKGROUND

Existing studies on disease course usually apply relatively short follow-up periods and narrow definitions of disease course resulting in too optimistic views on disease prognosis. This study explores the relevance of using a longer and broader (cross-disorder) perspective.

METHODS

Respondents with a 12-month disorder at baseline and available at 3-, 6- and 9-year follow-up were selected (major depressive disorder, MDD: n = 208; anxiety disorder: n = 220) from a general population study (N = 6646). DSM-IV disorders were assessed with the Composite International Diagnostic Interview. Disease course was described using a short and narrow perspective (i.e., 3-year follow-up, and considering presence of the index disorder only) and a long and broad perspective (9-year follow-up, and considering presence of any mood, anxiety or substance use disorder as outcome).

RESULTS

The recovery rates of both MDD and anxiety disorder reduced by half when the perspective switched from short and narrow (MDD: 74.0 %; anxiety disorder: 79.5 %) to long and broad (35.6 % and 40.0 % respectively). At 9-year follow-up, the rates of a persistent disorder (a disorder at each follow-up assessment) tripled when the perspective switched from narrow to broad (MDD: from 4.8 % to 13.9 %; anxiety disorder: from 4.5 % to 15.5 %).

LIMITATIONS

The findings are not generalizable to the most severe depressed and anxious patients.

CONCLUSIONS

Most people with MDD or anxiety disorder in the general population have a rather favourable prognosis when a narrow perspective is applied, but an unfavourable prognosis when a long-term and broad perspective is applied. Consequently, MDD and anxiety disorder should not merely be perceived as episodic disorders, and require longer-term disease monitoring and management.

A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm

Purpose

In patients with ophthalmic disorders, psychosocial risk factors play an important role in morbidity and mortality. Proper and early psychiatric screening can result in prompt intervention and mitigate its impact. Because screening is resource intensive, we developed a framework for automating screening using an electronic health record (EHR)-derived artificial intelligence (AI) algorithm.

Methods

Subjects came from the Duke Ophthalmic Registry, a retrospective EHR database for the Duke Eye Center. Inclusion criteria included at least two encounters and a minimum of 1 year of follow-up. Presence of distress was defined at the encounter level using a computable phenotype. Risk factors included available EHR history. At each encounter, risk factors were used to discriminate psychiatric status. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve and area under the precision-recall curve (PR AUC). Variable importance was presented using odds ratios (ORs).

Results

Our cohort included 358,135 encounters from 40,326 patients with an average of nine encounters per patient over 4 years. The ROC and PR AUC were 0.91 and 0.55, respectively. Of the top 25 predictors, the majority were related to existing distress, but some indicated stressful conditions, including chemotherapy (OR = 1.36), esophageal disorders (OR = 1.31), central pain syndrome (OR = 1.25), and headaches (OR = 1.24).

Conclusions

Psychiatric distress in ophthalmology patients can be monitored passively using an AI algorithm trained on existing EHR data.

Translational Relevance

When paired with an effective referral and treatment program, such algorithms may improve health outcomes in ophthalmology.

The bidirectional relationship between anxiety disorders and alcohol use disorders in adults: Findings from a longitudinal population-based study

BACKGROUND

Anxiety disorders (AD) and alcohol use disorder (AUD) frequently co-occur, but the temporal order of the association is unclear. We have determined the association between AD and the presence and first-onset of AUD, and vice versa.

METHODS

Data were used from n = 6.646 participants and four measurement waves (baseline, 3-, 6- and 9-years) of the Netherlands Mental Health Survey and Incidence Study 2 (NEMESIS-2), a cohort study of the Dutch general population aged 18-64 years. AD and AUD were assessed with the Composite International Diagnostic Interview 3.0. Multilevel logistic autoregressive models were controlled for previous-wave AD or AUD, sociodemographics (Model 1), smoking and clinical factors (Model 2).

RESULTS

People with AUD had a higher risk of present (OR = 1.65, 95 % CI 1.11-2.43; Model 2) and first-onset (OR = 2.03, 95 % CI 1.17-3.51; Model 2) AD in 3-years follow-up intervals than people without AUD. Vice versa, people with AD also had a higher sociodemographics-adjusted risk of present and first-onset AUD over 3-years follow-up intervals, but these associations attenuated into insignificance after adjustment for smoking and clinical variables. Limitations For statistical power reasons we were not able to analyze 9-year follow-up data or distinguish between AD and AUD types.

CONCLUSIONS

Our results indicate a bidirectional relationship between AD and AUD; especially those with severe AD (medication use, comorbid depression) are at risk of developing AUD. Health care professionals should focus on prevention of AD in AUD patients and prevention of AUD in patients with (more severe) AD. Further research should investigate the mechanisms underlying the observed associations.

Psychological interventions to prevent relapse in anxiety and depression: A systematic review and meta-analysis

Objectives

The aim of this review is to establish the effectiveness of psychological relapse prevention interventions, as stand-alone interventions and in combination with maintenance antidepressant treatment (M-ADM) or antidepressant medication (ADM) discontinuation for patients with remitted anxiety disorders or major depressive disorders (MDD).

Methods

A systematic review and a meta-analysis were conducted. A literature search was conducted in PubMed, PsycINFO and Embase for randomised controlled trials (RCTs) comparing psychological relapse prevention interventions to treatment as usual (TAU), with the proportion of relapse/recurrence and/or time to relapse/recurrence as outcome measure.

Results

Thirty-six RCTs were included. During a 24-month period, psychological interventions significantly reduced risk of relapse/recurrence for patients with remitted MDD (RR 0.76, 95% CI: 0.68–0.86, p<0.001). This effect persisted with longer follow-up periods, although these results were less robust. Also, psychological interventions combined with M-ADM significantly reduced relapse during a 24-month period (RR 0.76, 95% CI: 0.62–0.94, p = 0.010), but this effect was not significant for longer follow-up periods. No meta-analysis could be performed on relapse prevention in anxiety disorders, as only two studies focused on relapse prevention in anxiety disorders.

Conclusions

In patients with remitted MDD, psychological relapse prevention interventions substantially reduce risk of relapse/recurrence. It is recommended to offer these interventions to remitted MDD patients. Studies on anxiety disorders are needed.

Systematic review registration number

PROSPERO 2018: CRD42018103142.

Impact of the COVID-19 pandemic on patients with mental health problems and the differences among diagnostic categories

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has resulted in a total upending of our daily lives. While anxiety and depression were frequently reported among the general population, the pandemic's impact on patients with mental health problems remains unknown.

METHODS

A cross-sectional questionnaire survey involving 1,166 patients was conducted at one psychiatric hospital and one mental health clinic.

RESULTS

Symptom deterioration was reported in 23% to 34% of the patients and 9% to 20% reported increase in drug dosage. No significant differences were reported in these items among diagnostic categories. Patients with F3 (mood disorders) reported more psychological stress during the pandemic's beginning and during the emergency. Patients with F2 (schizophrenia, schizotypal, and delusional disorders) did online shopping and meetings less frequently, and reported poorer adherence of 3C's, while mask management was stricter in patients with F4 (neurotic, stress-related, and somatoform disorders). Symptom deterioration was significantly associated with increase in drug dosage, new physical symptoms, anxiety unrelated to COVID-19, stress at the beginning of pandemic, stress during the 'state of emergency', poor adaptability to environmental change, daily life changes, decrease in sleeping time, and decrease in time spent outside.

CONCLUSION

One third of patients reported symptom deterioration during the pandemic, which was associated with stress and daily life changes. Patients with good adaptability to environmental changes might resilient against symptom deterioration. Providing continuous support to help patients manage their daily life in this COVID-19 era may minimize the risk of symptom deterioration.

Cannabidiol enhancement of exposure therapy in treatment refractory patients with social anxiety disorder and panic disorder with agoraphobia: A randomised controlled trial

Preclinical research suggests that enhancing CB1 receptor agonism may improve fear extinction. In order to translate this knowledge into a clinical application we examined whether cannabidiol (CBD), a hydrolysis inhibitor of the endogenous CB1 receptor agonist anandamide (AEA), would enhance the effects of exposure therapy in treatment refractory patients with anxiety disorders. Patients with panic disorder with agoraphobia or social anxiety disorder were recruited for a double-blind parallel randomised controlled trial at three mental health care centres in the Netherlands. Eight therapist-assisted exposure in vivo sessions (weekly, outpatient) were augmented with 300 mg oral CBD (n = 39) or placebo (n = 41). The Fear Questionnaire (FQ) was assessed at baseline, mid- and post-treatment, and at 3 and 6 months follow-up. Primary analyses were on an intent-to-treat basis. No differences were found in treatment outcome over time between CBD and placebo on FQ scores, neither across (β = 0.32, 95% CI [-0.60; 1.25]) nor within diagnosis groups (β = -0.11, 95% CI [-1.62; 1.40]). In contrast to our hypotheses, CBD augmentation did not enhance early treatment response, within-session fear extinction or extinction learning. Incidence of adverse effects was equal in the CBD (n = 4, 10.3%) and placebo condition (n = 6, 15.4%). In this first clinical trial examining CBD as an adjunctive therapy in anxiety disorders, CBD did not improve treatment outcome. Future clinical trials may investigate different dosage regimens.

A meta-analysis of the effects of academic interventions on academic achievement and academic anxiety outcomes in elementary school children

Research has shown that academic anxiety can affect academic performance and emotional well-being. Despite previous research emphasizing the importance of understanding academic anxiety and indicating a strong association between academic performance and academic anxiety, no systematic reviews or meta-analyses have examined the effects of academic interventions on academic and anxiety outcomes. This article reports on a meta-analysis of studies examining academic interventions conducted with elementary students (kindergarten to Grade 6), in which both academic achievement and academic anxiety outcomes were reported. The systematic search yielded 13 studies comprising 1545 participants and revealed statistically significant differences favoring academic treatments over the control for academic achievement outcomes (g = 0.63, k = 11) but no statistically significant benefits for academic anxiety outcomes (g = -0.06, k = 11). The authors caution against drawing strong conclusions due to the heterogeneity in effects and the small number of studies in the extant literature.

Antidepressant medication use in Inflammatory Bowel Disease: a nationally representative population-based study

BACKGROUND

Despite high rates of depression and anxiety, little is known about the use of antidepressants amongst individuals diagnosed with inflammatory bowel disease (IBD).

AIMS

To evaluate temporal trends in the use of antidepressants; rates of antidepressant initiation and adherence of antidepressant use to international guidelines amongst individuals with IBD.

METHODS

This is a study of 14,525 incident IBD cases from 2004 to 2016 compared with 58,027 controls matched 1:4 for age and sex from the Clinical Practice Research Datalink. After excluding tricyclic antidepressants, we performed a Cox regression analysis to determine the risk associated with antidepressant use and logistic regression analysis to determine risk associated with antidepressant undertreatment.

RESULTS

Antidepressant use amongst individuals with IBD increased by 51% during the 12-year study period, who were 34% more likely to initiate antidepressants in the year after IBD diagnosis compared with controls (aHR:1.34, 95% CI 1.21-1.49). In those with IBD starting antidepressants, 67% received treatment lasting less than the duration recommended in international guidelines, of which 34% were treated for 1 month or less. 18-24 year olds were twice as likely to discontinue treatment within 1 month compared with those aged 40-60 years (aHR:2.03, 95% CI 1.40-2.95). Socioeconomic deprivation was also associated with early treatment discontinuation (aHR:1.40, 95% CI 1.07-1.83).

CONCLUSIONS

In the year following IBD diagnosis individuals are significantly more likely to start antidepressants compared with controls, but treatment duration fell short of recommendations in the majority. Better integration of services may benefit individuals with IBD and psychiatric comorbidity.

The impact of COVID-related perceived stress and social support on generalized anxiety and major depressive disorders: moderating effects of pre-pandemic mental disorders

BACKGROUND

We assessed the moderating effect of pre-pandemic mental disorders on the association of COVID-related perceived stress and social support with mental health.

METHODS

A nationally representative sample of 3500 Spanish adults was interviewed in June 2020 (mean age 49.25 years, ± 15.64; 51.50% females). Mental health included Generalized Anxiety Disorders (GAD; GAD-7, cut-off point of ≥ 10), Major Depressive Disorders (MDD; PHQ-8, cut-off point of ≥ 10) and the comorbid form (those screening positive for GAD and MDD). COVID-related stress was assessed using an adapted version of the Peri Life Events Scale, and social support using the Oslo Social Support Scale. Logistic regression models were used to assess if COVID-related stress and social support were related to mental health outcomes and interactions were conducted to examine whether these relationships differed according to the presence of pre-pandemic mental disorders.

RESULTS

Higher COVID-related stress was associated with a higher risk of lower mental health. The association between COVID-related stress with GAD and MDD was significantly moderated by pre-pandemic mental disorders, except for comorbid GAD + MDD. Higher levels of social support were linked to better mental health. Only the association between social support and GAD was significantly moderated by pre-pandemic mental disorders. That is, for those without pre-pandemic mental disorders, higher levels of social support decreased the odds of GAD, while minor decreases were observed in those with pre-pandemic mental disorders.

CONCLUSIONS

The impact of COVID-related stress and social support on specific indicators of mental health may vary depending on the existence of a previous mental disorder.

The prevalence and correlates of anxiety and depression amongst essential workers during the COVID-19 lockdown in Ekiti State, Nigeria

Background

Essential workers are imperative in the fight against the coronavirus disease (COVID-19) pandemic.

Aim

To assess the prevalence and factors associated with anxiety and depression among essential workers during the COVID-19 pandemic and lockdown.

Setting

This study was set in Ekiti State, Nigeria.

Method

This was a cross-sectional study involving essential workers in Ekiti State Nigeria, during the COVID-19 pandemic and lockdown. A total of 588 essential workers were sampled. Online socio-demographic variables and the Hospital Anxiety and Depression Scale, a 14 item self-reported questionnaire were used.

Results

The prevalence of anxiety and depression among the respondents was 93.4% (CI = 91.2–95.2) and 64.3% (CI = 60.4–68.4) respectively. Among the health workers, the prevalence of anxiety and depression were 96.5% (CI =94.8–98.1) and 66.5% (CI = 60.5–69.8) respectively while the prevalence of anxiety and depressive symptoms among non- health workers were 84.6% (CI = 78.7–90.1) and 61.5% (CI = 54.2–69.4) respectively. The odds ratio (OR) of depressive symptoms was increased among, respondents who were not satisfied with the support they received from the government during the pandemic (AOR = 2.071, CI = 1.350–2.213), respondents that were 35 years and younger (AOR = 1.512, CI = 1.033–2.213) and reduced amongst Christians (AOR = 0.501, CI = 0.286–0.879). The odd of anxiety was increased among health workers compared to non-health workers (AOR = 3.700, CI = 1.744–7.851) and the odds of anxiety was reduced among respondents with previous history of mental illness (AOR = 0.215, CI = 0.049–0.943).

Conclusion

Anxiety and depressive symptoms were common mental illness among essential workers working during the COVID-19 lockdown, therefore their mental health should be adequately considered to sustain the fight against the virus.

Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach

BACKGROUND

Disease trajectories of patients with anxiety disorders are highly diverse and approximately 60% remain chronically ill. The ability to predict disease course in individual patients would enable personalized management of these patients. This study aimed to predict recovery from anxiety disorders within 2 years applying a machine learning approach.

METHODS

In total, 887 patients with anxiety disorders (panic disorder, generalized anxiety disorder, agoraphobia, or social phobia) were selected from a naturalistic cohort study. A wide array of baseline predictors (N = 569) from five domains (clinical, psychological, sociodemographic, biological, lifestyle) were used to predict recovery from anxiety disorders and recovery from all common mental disorders (CMDs: anxiety disorders, major depressive disorder, dysthymia, or alcohol dependency) at 2-year follow-up using random forest classifiers (RFCs).

RESULTS

At follow-up, 484 patients (54.6%) had recovered from anxiety disorders. RFCs achieved a cross-validated area-under-the-receiving-operator-characteristic-curve (AUC) of 0.67 when using the combination of all predictor domains (sensitivity: 62.0%, specificity 62.8%) for predicting recovery from anxiety disorders. Classification of recovery from CMDs yielded an AUC of 0.70 (sensitivity: 64.6%, specificity: 62.3%) when using all domains. In both cases, the clinical domain alone provided comparable performances. Feature analysis showed that prediction of recovery from anxiety disorders was primarily driven by anxiety features, whereas recovery from CMDs was primarily driven by depression features.

CONCLUSIONS

The current study showed moderate performance in predicting recovery from anxiety disorders over a 2-year follow-up for individual patients and indicates that anxiety features are most indicative for anxiety improvement and depression features for improvement in general.

Depression, anxiety and post-traumatic growth among COVID-19 survivors six-month after discharge

BACKGROUND

Pre-hospitalisation, hospitalisation and post-hospitalisation factors may significantly affect depression, anxiety and post-traumatic growth (PTG) among COVID-19 survivors.

OBJECTIVE

Our study investigated depression, anxiety and PTG and their correlates among COVID-19 survivors.

METHOD

A cross-sectional telephone survey recruited 199 COVID-19 patients (Mean age = 42.7; 53.3% females) at six-month follow-up after hospital discharge in five Chinese cities (i.e. Wuhan, Shenzhen, Zhuhai, Dongguan and Nanning). Their demographic information, clinical records and experiences during (e.g. severity of covid-19 symptoms, treatment and exposure to other patients' suffering) and after hospitalisation (e.g. perceived impact of covid-19, somatic symptoms after hospitalisation), and psychosocial factors (e.g. perceived discrimination, self-stigma, affiliate stigma, resilience and social support) were investigated. Depressive and anxiety symptoms were measured by the Patient Health Questionnaire (PHQ-9) and the Generalised anxiety disorder (GAD-7) scale, respectively. PTG was examined by the Post-traumatic Growth Inventory (PTGI) instrument.

RESULTS

The proportion of depressive symptoms <5, ≥5 and <10, ≥10 were 76.9%, 12.0% and 11.1%, respectively. The proportion of anxiety symptoms <5, ≥5 and <10, ≥10 were 77.4%, 15.1% and 7.5%, respectively. Multivariate logistic regression showed that receiving mental health care services during hospitalisation, somatic symptoms after discharge, perceived affiliate stigma and perceived impact of being infected with COVID-19 were significantly and positively associated with probable depression. Significant correlates of probable anxiety also included permanent residents of the city, somatic symptoms after discharge, perceived impact of being infected with COVID-19 and self-stigma. Social support, self-stigma and receiving mental health care services during hospitalisation were positively associated with PTG.Conclusions: The results suggest that post-hospitalisation and psychosocial factors had relatively stronger associations with depression, anxiety and PTG than pre-hospitalisation and hospitalisation factors. Promoting social support and social inclusion may be useful strategies to improve the mental health of COVID-19 survivors.

HIGHLIGHTS

• Post-hospitalisation and psychosocial factors had relatively stronger associations with depression, anxiety and PTG than pre-hospitalisation and hospitalisation factors, promoting social support and social inclusion may be useful strategies to improve mental health of COVID-19 survivors.

The 9-year clinical course of depressive and anxiety disorders: New NESDA findings

BACKGROUND

In longitudinal research, switching between diagnoses should be considered when examining patients with depression and anxiety. We investigated course trajectories of affective disorders over a nine-year period, comparing a categorical approach using diagnoses to a dimensional approach using symptom severity.

METHOD

Patients with a current depressive and/or anxiety disorder at baseline (N = 1701) were selected from the Netherlands Study of Depression and Anxiety (NESDA). Using psychiatric diagnoses, we described 'consistently recovered,' 'intermittently recovered,' 'intermittently recurrent', and 'consistently chronic' at two-, four-, six-, and nine-year follow-up. Additionally, latent class growth analysis (LCGA) using depressive, anxiety, fear, and worry symptom severity scores was used to identify distinct classes.

RESULTS

Considering the categorical approach, 8.5% were chronic, 32.9% were intermittently recurrent, 37.6% were intermittently recovered, and 21.0% remained consistently recovered from any affective disorder at nine-year follow-up. In the dimensional approach, 66.6% were chronic, 25.9% showed partial recovery, and 7.6% had recovered.

LIMITATIONS

30.6% of patients were lost to follow-up. Diagnoses were rated by the interviewer and questionnaires were completed by the participant.

CONCLUSIONS

Using diagnoses alone as discrete categories to describe clinical course fails to fully capture the persistence of affective symptoms that were observed when using a dimensional approach. The enduring, fluctuating presence of subthreshold affective symptoms likely predisposes patients to frequent relapse. The commonness of subthreshold symptoms and their adverse impact on long-term prognoses deserve continuous clinical attention in mental health care as well further research.

Mental health trajectories in undergraduate students over the first year of university: a longitudinal cohort study

OBJECTIVE

This study examined the association between candidate psychosocial and lifestyle variables and the trajectories of clinically significant anxiety and depressive symptoms from entry to completion of first-year university.

DESIGN

A longitudinal cohort study PARTICIPANTS: First-year undergraduate students METHODS: We analysed the responses of 1686 first-year undergraduate students attending Queen's University who completed electronic surveys at both the beginning and completion of their academic year. Predictors of change in positive anxiety and depressive symptom screens (based on exceeding validated symptom threshold scores) were identified using logistic regression.

RESULTS

Increased university connectedness reduced the odds of emergent significant depressive and anxiety symptoms in healthy students and increased the odds of recovery in students who screened positive at the start of university. Students who screened positive for depression or anxiety at university entry were less likely to recover if they had a lifetime history of internalising disorders. Healthy students who increased their drug use over their first year had higher odds of developing significant levels of both anxiety and depressive symptoms by completion of the academic year.

CONCLUSIONS

Moderate to severe levels of anxiety and depressive symptoms are common among students at entry to university and persist over the first year. University connectedness may mitigate the risk of persistent or emergent symptoms, whereas drug use appears to increase these risks. Findings have implications for university well-being initiatives.

Emotion regulation therapy for social anxiety disorder: a single case series study

BACKGROUND

Despite the vast majority of evidence indicating the efficacy of traditional and recent cognitive behaviour therapy (CBT) therapies in treating social anxiety disorder (SAD), some individuals with SAD do not improve by these interventions, particularly when co-morbidity is present.

AIMS

It is not clear how emotion regulation therapy (ERT) can improve SAD co-morbid with symptoms of generalized anxiety disorder (GAD) and depression. This study investigated this gap.

METHOD

Treatment efficacy was assessed using a single case series methodology. Four clients with SAD co-occurring with GAD and depression symptoms received a 16-session version of ERT in weekly individual sessions. During the treatment, self-report measures and clinician ratings were used to assess the symptom intensity, model-related variables, and quality of life, work and social adjustment of participants every other week throughout the treatment. Follow-up was also conducted at 1, 2 and 3 months after treatment. Data were analysed using visual analysis, effect size (Cohen's d) and percentage of improvement.

RESULTS

SAD clients with depression and GAD symptoms demonstrated statistically and clinically significant improvements in symptom severity, quality of life, work, social adjustment and model-related measures (i.e. negative emotionality/safety motivation, emotion regulation strategies). The improvements were largely maintained during the follow-up period and increased for some variables.

CONCLUSION

These findings showed preliminary evidence for the role of emotion dysregulation and motivational factors in the aetiology and maintenance of SAD and the efficacy of ERT in the treatment of co-morbid SAD.

Associations between adolescents' internalizing problems and well-being: is there a buffering role of boys' and girls' relationships with their mothers and fathers?

Background

Internalizing mental health problems (i.e., depression and anxiety symptoms) are known to be related negatively to adolescents’ well-being. However, whether this negative association manifests equally in boys and girls, and the potential buffering role of high-quality relationships with mothers and fathers, remain unknown. Thus, the present study was conducted to 1) investigate associations among adolescents’ internalizing problems and mother– and father–adolescent relationship quality, on the one hand, and adolescents’ well-being, on the other hand, 2) explore the buffering role of high-quality mother– and father–adolescent relationships in the association between adolescents’ internalizing problems and well-being, and 3) examine gender differences in these main and buffering effects.

Methods

The analysis sample consisted of 1064 adolescents (53.7% girls; aged 11–17 years) from three secondary schools in the Netherlands. Participants filled out an online questionnaire incorporating the Mental Health Continuum–Short Form to measure well-being, the Revised Child Anxiety and Depression Scale-25 to measure internalizing problems, and the Network of Relationships Inventory to measure mother– and father–adolescent relationship quality. The cross-sectional data were analyzed using path models in R, controlling for age, ethnocultural background, and education level. Multigroup analyses were performed to identify gender differences.

Results

Adolescents with fewer internalizing problems (β = − 0.40, p < 0.001) and adolescents with higher-quality relationships with their mothers and fathers reported higher concurrent levels of well-being (β = 0.10 to 0.18, all p < 0.01). The quality of mother-adolescent relationships had a significantly larger association with adolescents’ well-being than that of father-adolescent relationship quality. However, relationships with mothers and fathers did not significantly buffer the association between adolescents’ internalizing problems and well-being. Multigroup analyses revealed no difference between boys and girls.

Conclusions

The current study contributes to the understanding of internalizing problems as an important risk factor for adolescents’ well-being, regardless of the quality of relationships with mothers and fathers. The quality of adolescents’ relationships with their parents is associated positively with their well-being, even in the presence of internalizing problems. These findings underline the importance of mothers’ and fathers’ roles in adolescent boys’ and girls’ well-being.

The effect of depression on treatment outcome in social anxiety disorder: an individual-level meta-analysis

Social anxiety disorder (SAD) is highly comorbid with depression. In the present meta-analysis, we conducted the first individual-level examination of the association between pre-treatment depression and improvement in social anxiety symptoms during treatment. We identified eligible studies on cognitive behavior therapy (CBT) and pharmacotherapy for SAD and contacted authors to obtain individual-level data. We obtained these data from 41 studies, including 46 treatment conditions (n = 4,381). Our results showed that individuals who had high levels of depression at pre-treatment experienced greater decreases in social anxiety symptoms from pre- to post-treatment, but not at follow-up. When analyzing treatment modalities (individual CBT, group CBT, internet-delivered CBT, and pharmacotherapy), we found that depressive symptoms were associated with better post-treatment outcomes for individual CBT and internet-delivered CBT, but not for pharmacotherapy or group CBT. Our findings suggest that depression does not negatively affect treatment outcome in SAD and may even lead to improved outcomes in some treatment formats. Clinical implications of these findings are discussed.

The Medium is the Message: Effects of Mediums of Communication on Perceptions and Emotions in Social Anxiety Disorder

We examined the use of voice/text and visual mediums and their effects on perceptions and emotions in social anxiety disorder (SAD). Our sample included 88 individuals: 44 individuals with SAD and 44 non-socially-anxious (NSA) individuals. We used an experience sampling methodology (ESM) in which participants received daily links to online measures at random times during the day, for 21 days and reported on social interactions, emotions and perceptions. Results indicated that individuals with SAD used voice/text mediums to a greater extent and used visual mediums to a lesser extent compared to NSA individuals. However, despite preferring voice/text mediums, use of visual mediums resulted in immediate increases in positive perceptions and emotions for individuals with SAD. These findings were above and beyond the effect of depressive symptoms and remained when social anxiety was represented as a continuum of severity. This has important implications for exposure interventions in the treatment of SAD.

Selective Serotonin Reuptake Inhibitors: How Long Is Long Enough?

Selective serotonin reuptake inhibitors (SSRIs) are among the most commonly prescribed medications. They are among the first-line medications for several chronic or relapsing-remitting psychiatric conditions, including major depressive disorder and anxiety disorders. The advantages of SSRI use include ease of titration and their tolerability and safety profile. Guidelines for the short-term use of SSRIs are widely available, but there is no well-organized guidance on how and whether to maintain a patient on SSRIs for the long-term. In this article, we discuss the benefits and possible adverse consequences of long-term SSRI use, as well as clinical practice considerations when using SSRIs chronically. The major benefit of long-term SSRI use is relapse prevention. The current literature suggests that the general health risks of long-term SSRI use are low; however, further research, particularly in special populations including youth and the elderly, is needed. Long-term SSRI use increases the risk of tachyphylaxis and discontinuation syndrome. Recognizing that many patients may remain on SSRIs for many years, there are several factors that prescribers should consider if they choose to use an SSRI when initiating treatment and during long-term monitoring. The decision to continue or to discontinue an SSRI should be an active one, involving both the patient and prescriber, and should be revisited periodically. Patients who remain on SSRIs for the long-term should also have periodic monitoring to reassess the risk-benefit ratio of remaining on the SSRI, as well as to assess the safety, tolerability, and efficacy of the medication.

Antidepressant and Anxiolytic Effects of Medicinal Cannabis Use in an Observational Trial

Background: Anxiety and depressive disorders are highly prevalent. Patients are increasingly using medicinal cannabis products to treat these disorders, but little is known about the effects of medicinal cannabis use on symptoms of anxiety and depression. The aim of the present observational study was to assess general health in medicinal cannabis users and non-using controls with anxiety and/or depression. Methods: Participants (368 Cannabis Users; 170 Controls) completed an online survey assessing anxiety and depressive symptoms, cannabis product use, sleep, quality of life, and comorbid chronic pain. Participants that completed this baseline survey were then invited to complete additional follow-up surveys at 3-month intervals. Baseline differences between Cannabis Users and Controls were assessed using independent-samples t-tests and generalized linear mixed effects models were used to assess the impact of initiating cannabis product use, sustained use, or discontinuation of use on anxiety and depressive symptoms at follow-up. Results: Medicinal cannabis use was associated with lower self-reported depression, but not anxiety, at baseline. Medicinal cannabis users also reported superior sleep, quality of life, and less pain on average. Initiation of medicinal cannabis during the follow-up period was associated with significantly decreased anxiety and depressive symptoms, an effect that was not observed in Controls that never initiated cannabis use. Conclusions: Medicinal cannabis use may reduce anxiety and depressive symptoms in clinically anxious and depressed populations. Future placebo-controlled studies are necessary to replicate these findings and to determine the route of administration, dose, and product formulation characteristics to optimize clinical outcomes.

Overcome Death Anxiety: The Development of an Online Cognitive Behaviour Therapy Programme for Fears of Death

Emerging research suggests that death anxiety is a transdiagnostic construct, which may underpin a number of mental illnesses. Although cognitive behaviour therapy (CBT) has been found to be the most effective treatment for death anxiety, no self-guided treatments for this construct exist at present. Furthermore, there is a growing need for accessible, scalable and cost-effective psychological treatments. To address these gaps, we created Overcome Death Anxiety (ODA), an online CBT-based programme which specifically targets fears of death. ODA was designed to be a fully automated, standalone, yet individualised online treatment. The present study outlines the development and structure of this programme using responses from four users to illustrate feasibility. Research is needed to examine the efficacy and usability of ODA with a larger clinical sample.

Intermittent Treatment with the Psychodynamic Psychiatrist: A Patient-Centered Approach

This study examines the experiences of patients in treatment with psychodynamic psychiatrists on an intermittent basis following an initial brief period of intensive psychotherapy and stabilization. Patients with non-psychotic disorders who received intermittent treatment answered a web-based questionnaire describing the usefulness of various supportive, cognitive-behavioral, and psychodynamic interventions. Forty-eight out of 58 patients invited to participate completed the survey (83% response rate). The majority (75%) of respondents welcomed the intermittent treatment frame. Therapeutic factors deemed to be most helpful included supportive interventions such as ability to relate to the clinician, ability of clinician to listen empathically, and feeling supported by a non-judgemental therapist when talking about private matters. The majority of respondents also endorsed as highly beneficial various cognitive-behavioral interventions such as understanding how thinking patterns impact behavior and feelings and discussing alternative coping skills. Also highly rated were psychodynamic interventions, including understanding how the present is modeled from past experiences and expression and regulation of affect. In the open-ended qualitative feedback, therapeutic factors including collaboration, forming an alliance, and empathic attunement emerged as important. Our preliminary findings suggest that the intermittent psychodynamic treatment frame is well received by patients. Patients welcome integration of different psychotherapeutic approaches to individualize treatment. The common factors in psychotherapy are important patient-reported therapeutic factors in the intermittent treatment approach.

A Sequential Multiple Assignment Randomized Trial (SMART) study of medication and CBT sequencing in the treatment of pediatric anxiety disorders

BACKGROUND

Treatment of a child who has an anxiety disorder usually begins with the question of which treatment to start first, medication or psychotherapy. Both have strong empirical support, but few studies have compared their effectiveness head-to-head, and none has investigated what to do if the treatment tried first isn't working well-whether to optimize the treatment already begun or to add the other treatment.

METHODS

This is a single-blind Sequential Multiple Assignment Randomized Trial (SMART) of 24 weeks duration with two levels of randomization, one in each of two 12-week stages. In Stage 1, children will be randomized to fluoxetine or Coping Cat Cognitive Behavioral Therapy (CBT). In Stage 2, remitters will continue maintenance-level therapy with the single-modality treatment received in Stage 1. Non-remitters during the first 12 weeks of treatment will be randomized to either [1] optimization of their Stage 1 treatment, or [2] optimization of Stage 1 treatment and addition of the other intervention. After the 24-week trial, we will follow participants during open, naturalistic treatment to assess the durability of study treatment effects. Patients, 8-17 years of age who are diagnosed with an anxiety disorder, will be recruited and treated within 9 large clinical sites throughout greater Los Angeles. They will be predominantly underserved, ethnic minorities. The primary outcome measure will be the self-report score on the 41-item youth SCARED (Screen for Child Anxiety Related Disorders). An intent-to-treat analysis will compare youth randomized to fluoxetine first versus those randomized to CBT first ("Main Effect 1"). Then, among Stage 1 non-remitters, we will compare non-remitters randomized to optimization of their Stage 1 monotherapy versus non-remitters randomized to combination treatment ("Main Effect 2"). The interaction of these main effects will assess whether one of the 4 treatment sequences (CBT➔CBT; CBT➔med; med➔med; med➔CBT) in non-remitters is significantly better or worse than predicted from main effects alone.

DISCUSSION

Findings from this SMART study will identify treatment sequences that optimize outcomes in ethnically diverse pediatric patients from underserved low- and middle-income households who have anxiety disorders.

TRIAL REGISTRATION

This protocol, version 1.0, was registered in ClinicalTrials.gov on February 17, 2021 with Identifier: NCT04760275 .

Depressive and anxiety disorders in concert-A synthesis of findings on comorbidity in the NESDA study

BACKGROUND

Comorbidity of depressive and anxiety disorders is common and remains incompletely comprehended. This paper summarizes findings from the Netherlands Study of Depression and Anxiety (NESDA) regarding prevalence, temporal sequence, course and longitudinal patterns; sociodemographic, vulnerability and neurobiological indicators; and functional, somatic and mental health indicators of comorbidity.

METHODS

Narrative synthesis of earlier NESDA based papers on comorbidity (n=76).

RESULTS

Comorbidity was the rule in over three-quarter of subjects with depressive and/or anxiety disorders, most often preceded by an anxiety disorder. Higher severity and chronicity characterized a poorer comorbidity course. Over time, transitions between depressive and anxiety disorders were common. Consistent comorbidity risk indicators in subjects with depressive and anxiety disorders were childhood trauma, neuroticism and early age of onset. Psychological vulnerabilities, such as trait avoidance tendencies, were more pronounced in comorbid than in single disorders. In general, there were few differences in biological markers and neuroimaging findings between persons with comorbid versus single disorders. Most functional, somatic, and other mental health indicators, ranging from disability to cardiovascular and psychiatric multimorbidity, were highest in comorbid disorders.

LIMITATIONS

The observational design of NESDA limits causal inference. Attrition was higher in comorbid relative to single disorders.

CONCLUSIONS

As compared to single disorders, persons with comorbid depressive and anxiety disorders were characterized by more psychosocial risk determinants, more somatic and other psychiatric morbidities, more functional impairments, and poorer outcome. These results justify specific attention for comorbidity of depressive and anxiety disorders, particularly in treatment settings.

How current and past anxiety disorders affect daily life in adolescents and young adults from the general population-An epidemiological study with ecological momentary assessment

BACKGROUND

Prior research indicated, based on retrospective assessments of symptomatology, that 25% of individuals with "remitted" anxiety disorders (AD) experience a relapse. The present study used ecological momentary assessment (EMA) to examine how ADs affect everyday life among community adolescents and young adults with current or remitted AD compared to healthy controls and to each other.

METHODS

Data come from the baseline assessment of the epidemiological Behavior and Mind Health study, conducted in Dresden (Germany) from 11/2015-12/2016. The sub-sample analyzed (n = 648, age 14-21) consisted of 65 participants with current DSM-5 AD-diagnosis, 52 participants with lifetime AD-diagnosis but not within the last 6 months (remitted), and 531 healthy controls (no psychopathology; healthy controls [HC]). EMA of various constructs took place 8 times a day for 4 days.

RESULTS

The highest levels of symptoms were reported by those with current AD, followed by remitted AD and HC. Regression analyses revealed significantly worse mood, self-efficacy, quality of life and sleep-quality and more experiential avoidance, stress, negative thoughts and pessimism in remitted and current AD compared to HC. Current AD additional differed significantly from HC in optimism and positive thoughts. Furthermore, individuals with remitted AD without comorbidities differed significantly from HC on five out of 16 constructs.

CONCLUSION

Not only current but also remitted AD is associated with diverse negative experiences in everyday life, which cannot merely be explained by comorbidities. As the remaining burden and impairment in individuals with remitted AD might contribute to relapse, interventions might be targeted to improve mental health.

How technology can enhance treatment: A scoping review of clinical interventions for anxiety and obsessive-compulsive spectrum disorders

OBJECTIVES

Researchers are increasingly investigating how technology could be used to improve the efficacy of treatment for anxiety and obsessive-compulsive (OC) spectrum disorders. A broad range of technologies, disorders and therapeutic processes have been examined in the literature. This review summarizes the evidence for using technology in clinical interventions for anxiety and OC-spectrum disorders and highlights research gaps that should be addressed to improve the evidence base.

METHODS

A scoping review was conducted based on systematic searches of three databases. Broadly, the criteria included interventions that had integrated technology into clinical contexts to enhance treatment for anxiety and OC-spectrum disorders. All records were double-screened by two reviewers, and data were extracted on the characteristics of interventions, symptom outcomes, and implementation factors.

RESULTS

Searches returned 2,475 studies, of which 117 were eligible for inclusion in this review. Although almost all studies reported pre-post-symptom reductions, only one quarter of the controlled studies demonstrated additive effect of technology-based interventions in between-group analyses. We noted a trend in underreporting implementation factors.

CONCLUSIONS

Technology-based interventions can improve the efficacy of treatment for anxiety and OC-spectrum disorders, but there are challenges to achieving this goal. Based on a review of the included studies, we provide four specific recommendations to improve the quality and likelihood of success of future research projects.

PRACTITIONER POINTS

Technology-based adjuvants are unlikely to improve the efficacy of treatment for anxiety or OC-spectrum disorders based on their novelty or convenience alone. A subset of studies gives hope that specific innovations can improve treatment when targeting a therapeutic process that has been problematic. Clinicians seeking to improve the efficacy of their treatment should first define client-specific therapeutic factors (e.g., homework compliance) that could be leveraged, then apply a specific innovation to address this factor.

Effects of tryptophan depletion on anxiety, a systematic review

Vulnerability markers for onset of anxiety disorders are scarce. In depression, patients at risk tend to respond with a negative mood to 'acute tryptophan depletion' (ATD), while healthy volunteers and current patients do not. The serotonergic system thus provides indications for vulnerability for depression. It is unknown whether ATD reveals vulnerability in anxiety too. This study systematically reviews the effects of ATD on anxiety and assesses whether challenging anxiety modifies the response. PubMed, Embase and PsychInfo were systematically searched up to April 2019 for studies in which (1) healthy volunteers or patients with a (remitted) anxiety disorder underwent ATD and (2) levels of anxiety were reported. In total, 21 studies were included. Studies conducted in healthy volunteers (n = 13), and patients with a remitted (n = 6) or current (panic, social or generalised) anxiety disorder (n = 4). Studies were mostly of poor quality and heterogeneous regarding population, challenge test used and outcome measures. ATD did not consistently affect anxiety in any of the groups. Moreover, a challenge test after ATD (n = 17 studies) did not consistently provoke anxiety in healthy volunteers or remitted patients. A 35% CO₂ challenge did consistently increase anxiety in patients with a current panic disorder (PD). To conclude, this systematic review found no clear indications that ATD provokes anxiety in those at risk for anxiety disorders. Hence, unlike in depression, ATD does not indicate vulnerability to develop an anxiety disorder. Because included studies were heterogeneous and mostly of poor quality, there is an urgent need for high quality research in homogeneous samples.

A short form of the Recovery Assessment Scale-Domains and Stages: Development and validation among adults with anxiety disorders

The Recovery Assessment Scale-Domains and Stages (RAS-DS) is a 38-item self-report instrument measuring recovery from serious mental illness. We explored the suitability of the RAS-DS for individuals with anxiety disorders. A parsimonious short form of the scale was developed. Participants with anxiety disorder symptoms (N = 295) completed the RAS-DS, DASS-21 and GAD-7. Confirmatory factor analysis supported the expected four-factor structure. Associations with related scales exhibited the expected pattern supporting construct validity in this population. The Recovery Assessment Scale-Short Form (RAS-SF) was derived by inspection of factor loadings and modification indices, yielding a 20-item scale with five items per subscale. Strong correlations between subscales confirmed the total score represented a valid overarching measure of recovery. The present study indicates that recovery is pertinent to individuals with anxiety disorders. Development of the short-form RAS-SF affords opportunity for routine measurement of recovery in populations with anxiety and other high prevalence conditions.

The effect of mental health on social capital: An instrumental variable analysis

Although a large body of literature has examined the effect of social capital on health and theoretical models suggest a reciprocal relationship between the two variables, there are relatively few studies that have investigated the effect of mental health on social capital. This paper evaluates the impact of mental health on the stock of social capital using data from the cross-sectional 2012 (N = 21,844) and 2002 (N = 31,089) Canadian Community Health Survey - Mental Health editions. Mental health was measured retrospectively as self-rated mental health, past year mental health conditions, and past 30-day psychological distress. Given the reciprocal relationship, we used an instrumental variable approach with family history of mental health problems as the instrument and examined forms of social capital - sense of belonging and workplace social support - that are largely measures of social capital provided by non-family members in the community and workplace. The analysis suggests there are large and significant associations between measures of mental health and both outcomes, which persist in the instrumental variable analyses. These findings highlight the urgent need for policy makers to implement greater prevention and treatment of poor mental health, and provide greater support for individuals with poor mental health so they can build and maintain their social capital.