The effects of psychotherapy for depression on anxiety symptoms: a meta-analysis

The Effectiveness of Low-Intensity Psychological Interventions for Comorbid Depression and Anxiety in Patients with Long-Term Conditions: A Real-World Naturalistic Observational Study in IAPT Integrated Care

BACKGROUND

Low-intensity psychological interventions may be a cost-effective, accessible solution for treating depression and anxiety in patients with long-term conditions, but evidence from real-world service settings is lacking. This study examined the effectiveness of low-intensity psychological interventions provided in the Improving Access to Psychological Therapies programme in England for patients with and without long-term conditions.

METHODS

A retrospective analysis was conducted on patients (total N = 21,051, long-term conditions n = 4024) enrolled in three low-intensity psychological interventions, i.e. Internet-delivered cognitive behavioural therapy (iCBT), guided self-help (GSH), and psychoeducational group therapy (PGT) within a Talking Therapies service from 2016 to 2020. Primary outcomes included pre-post-treatment changes in depression (Patient Health Questionnaire-9) and anxiety (Generalised Anxiety Disorder-7).

RESULTS

Overall, both cohorts significantly improved on all outcomes post-treatment, with large effect sizes. Patients with long-term conditions experienced a greater reduction in depression while those without experienced a greater reduction in anxiety, but these differences were marginal (< 1 score difference on both measures). No difference between the cohorts was shown when comparing the differential effectiveness across interventions, but those engaging in iCBT showed greater reduction in depression and anxiety than those in GSH and PGT, while those in GSH improved more than PGT.

CONCLUSIONS

Low-intensity psychological interventions, particularly iCBT, were effective in treating depression and anxiety in patients with long-term conditions in a real-world service setting. Our large-scale study supports the continued and increased implementation of low-intensity psychological interventions for this subpopulation via integrated care.

Efficacy of internet-based cognitive behavioral and interpersonal treatment for depression in Arabic speaking countries: A randomized controlled trial

BACKGROUND

Politically and economically unstable contexts have been associated with increased prevalence rates of depression. Despite high demand, the availability of mental health experts and care systems is limited in Arabic-speaking countries. Internet-based interventions might provide an opportunity to treat patients independently of location. Therefore, we investigated the efficacy of internet-based cognitive behavioral treatment (iCBT) and interpersonal treatment (iIPT) for depression in Arabic-speaking countries.

METHODS

In total, 743 Arabic-speaking adults with depression were randomly allocated to iCBT (n = 243), iIPT (n = 247), or waitlist (n = 253). Depressive, anxiety, and somatoform symptoms, perceived social support and quality of life (QoL) were assessed at pre-, and post-treatment and at three months follow-up. Multiple imputation was performed for missing data. Changes associated with treatment were analyzed using regression in the completer and intention-to-treat sample.

RESULTS

Participants in both treatment groups showed lower depressive and anxiety symptom severity, higher QoL, and perceived social support compared to the waitlist group (p < .001). Somatoform symptom severity was significantly lower in participants receiving iIPT compared to waitlist (p < .001). Differences between the two treatments in all outcomes were non-significant (p > .05). Three-month follow-up treatment effects regarding depressive symptoms were indicated.

LIMITATIONS

The sample mainly consists of educated, single, female adults. Three-month follow-up results rely on a small subsample and must be interpreted with caution.

CONCLUSIONS

This is the first randomized controlled trial to demonstrate the efficacy of iCBT and iIPT for depression in Arabic-speaking countries. It provides first indications that internet-based interventions might help specific individuals in this region.

The effect of bright light therapy on major depressive disorder: A systematic review and meta-analysis of randomised controlled trials

BACKGROUND

The increasing prevalence of major depressive disorder (MDD) has led to increased demand for psychotherapy and pharmacotherapy, yet concerns were raised regarding the cost and accessibility to these therapies. Bright light therapy (BLT) has shown promise in mitigating depressive symptoms of non-seasonal affective disorders. This meta-analysis gathered evidence from randomised controlled trials (RCTs) to assess the effectiveness of BLT on patients with non-seasonal MDD.

METHODS

Five databases were systematically searched. The primary outcome of the meta-analysis was the endpoint depression score from the BLT and control treatment groups, with the remission and response rates as the secondary outcomes. Results are presented in standardised mean difference (SMD) and log odd ratio. Subgroup analyses compared the effects of trial length and the length of daily exposure.

RESULTS

Results on 15 RCTs between 1996 and 2024 with 883 patients showed positive effects of BLT on alleviating depressive symptoms (SMD = 0.48, 95 % CI [0.22, 0.74], p <.001). Trials that lasted two weeks or less or those with 60 minutes or more of daily exposure were associated with higher therapeutic effectiveness. BLT was also associated with a higher response rate at the end of the trial.

CONCLUSION

This meta-analysis offers positive evidence that favours BLT in alleviating depressive symptoms in MDD, suggesting that it could be a convenient and easily accessible treatment modality to augment psychotherapy and pharmacotherapy.

Effect of curcumin supplementation on symptoms of anxiety: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND AND AIM

Curcumin is a polyphenolic natural compound that has been used to treat various ailments such as symptoms of anxiety. However, the findings of studies regarding the anti-anxiety properties of curcumin are controversial. This review aims to evaluate if there are clinical benefits of curcumin in patients with symptoms of anxiety.

METHODS

PubMed, Embase, Web of Science, and the Cochrane Library were retrieved to collect randomized controlled trials (RCTs) from the database inception to August 16, 2023. The random-effects model was used to estimate the standard mean difference (SMD).

RESULTS

A total of eight RCTs involving 567 participants were included in the analysis. A pooled analysis showed a significant effect of curcumin on anxiety symptoms (SMD: -1.56; 95% CI: -2.48, -0.64, p < 0.001; I2 = 95.6%, p-heterogeneity< 0.001).

CONCLUSION

Present meta-analysis demonstrated that curcumin intake might contribute to alleviation of anxiety disorder. Due to the limited number of studies included, it is necessary to conduct more high-quality studies to confirm the clinical efficacy of curcumin.

The therapeutic effectiveness of artificial intelligence-based chatbots in alleviation of depressive and anxiety symptoms in short-course treatments: A systematic review and meta-analysis

BACKGROUND

The emergence of artificial intelligence-based chatbot has revolutionized the field of clinical psychology and psychotherapy, granting individuals unprecedented access to professional assistance, overcoming time constraints and geographical limitations with cost-effective convenience. However, despite its potential, there has been a noticeable gap in the literature regarding their effectiveness in addressing common mental health issues like depression and anxiety. This meta-analysis aims to evaluate the efficacy of AI-based chatbots in treating these conditions.

METHODS

A systematic search was executed across multiple databases, including PubMed, Cochrane Library, Web of Science, PsycINFO, and Embase on April 4th, 2024. The effect size of treatment efficacy was calculated using the standardized mean difference (Hedge's g). Quality assessment measures were implemented to ensure trial's quality.

RESULTS

In our analysis of 18 randomized controlled trials involving 3477 participants, we observed noteworthy improvements in depression (g = -0.26, 95 % CI = -0.34, -0.17) and anxiety (g = -0.19, 95 % CI = -0.29, -0.09) symptoms. The most significant benefits were evident after 8 weeks of treatment. However, at the three-month follow-up, no substantial effects were detected for either condition.

LIMITATIONS

Several limitations should be considered. These include the lack of diversity in the study populations, variations in chatbot design, and the use of different psychotherapeutic approaches. These factors may limit the generalizability of our findings.

CONCLUSION

This meta-analysis highlights the promising role of AI-based chatbot interventions in alleviating depressive and anxiety symptoms among adults. Our results indicate that these interventions can yield substantial improvements over a relatively brief treatment period.

Aphasia, depression, and psychological therapy (ADaPT): A single case design evaluation of a modified cognitive behavioural therapy to treat depressive symptoms in stroke survivors with aphasia

Cognitive behavioural therapy (CBT) can effectively treat depression in the general population, but there is a lack of studies evaluating CBT tailored to specific cognitive and communication needs of individuals with post-stroke aphasia. We aimed to evaluate the feasibility and preliminary efficacy of a modified CBT intervention to ameliorate depressive symptoms. An ABA withdrawal/reversal single case design with concurrent multiple baselines (2.5, 4.5, or 6.5 weeks) was repeated across 10 participants (six male, four female) with post-stroke aphasia and self-reported depression. Participants completed 10 individual intervention sessions with a clinical neuropsychologist and a 4-week follow-up. The primary outcome was self-rated depression, and secondary outcomes included observer-rated symptoms of depression and anxiety. Data were analysed visually and statistically controlling for baseline trend. Feasibility was addressed by analysing recruitment and retention rates, treatment adaptations, and fidelity ratings. Three participants self-reported decreased depression levels during the intervention phase, which was sustained for two participants. Four additional participants improved during the follow-up phase. Close others reported sustained improvements in depressive symptoms (six participants) and anxiety symptoms (seven participants). Modified CBT appears feasible and potentially efficacious in reducing depressive symptoms in post-stroke aphasia. A randomized controlled trial is warranted, and should consider additional treatment sessions.

Effects of a Self-Guided Transdiagnostic Smartphone App on Patient Empowerment and Mental Health: Randomized Controlled Trial

BACKGROUND

Mental disorders impact both individuals and health systems. Symptoms and syndromes often remain undetected and untreated, resulting in chronification. Besides limited health care resources, within-person barriers such as the lack of trust in professionals, the fear of stigmatization, or the desire to cope with problems without professional help contribute to the treatment gap. Self-guided mental health apps may support treatment seeking by reducing within-person barriers and facilitating mental health literacy. Digital mental health interventions may also improve mental health related self-management skills and contribute to symptom reduction and the improvement of quality of life.

OBJECTIVE

This study aims to investigate the effects of a self-guided transdiagnostic app for mental health on help seeking, reduced stigma, mental health literacy, self-management skills, mental health symptoms, and quality of life using a randomized controlled design.

METHODS

Overall, 1045 participants (recruited via open, blinded, and web-based recruitment) with mild to moderate depression or anxiety-, sleep-, eating-, or somatization-related psychopathology were randomized to receive either access to a self-guided transdiagnostic mental health app (MindDoc) in addition to care as usual or care as usual only. The core features of the app were regular self-monitoring, automated feedback, and psychological courses and exercises. The coprimary outcomes were mental health literacy, mental health-related patient empowerment and self-management skills (MHPSS), attitudes toward help seeking, and actual mental health service use. The secondary outcomes were psychopathological symptom burden and quality of life. Data were collected at baseline and 8 weeks and 6 months after randomization. Treatment effects were investigated using analyses of covariance, including baseline variables as predictors and applying multiple imputation.

RESULTS

We found small but robust between-group effects for MHPSS (Cohen d=0.29), symptoms burden (Cohen d=0.28), and quality of life (Cohen d=0.19) 8 weeks after randomization. The effects on MHPSS were maintained at follow-up. Follow-up assessments also showed robust effects on mental health literacy and preliminary evidence for the improvement of help seeking. Predictors of attrition were lower age and higher personality dysfunction. Among the non-attritors, predictors for deterioration were less outpatient treatment and higher initial symptom severity.

CONCLUSIONS

A self-guided transdiagnostic mental health app can contribute to lasting improvements in patient empowerment. Symptoms of common mental disorders and quality of life improved faster in the intervention group than in the control group. Therefore, such interventions may support individuals with symptoms of 1 or more internalizing disorders, develop health-centered coping skills, prevent chronification, and accelerate symptom improvement. Although the effects for individual users are small and predictors of attrition and deterioration need to be investigated further, the potential public health impact of a self-guided intervention can be large, given its high scalability.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00022531; https://drks.de/search/de/trial/DRKS00022531.

The effects of psychosocial and behavioral interventions on depressive and anxiety symptoms during the COVID-19 pandemic: a systematic review and meta-analysis

Psychosocial and behavioral interventions have been shown to significantly reduce depressive and anxiety symptoms in different populations. Recent evidence suggests that the mental health of the general population has deteriorated significantly since the start of Coronavirus Disease 2019 (COVID-19) pandemic. We conducted a systematic review and meta-analysis of studies on the therapeutic effects of psychosocial and behavioral interventions on depression and anxiety during the COVID-19 pandemic. We systematically searched six electronic databases between December 2019 and February 2022 including PubMed, PsycINFO, Scopus, Web of Science, CNKI, and Wanfang Data. We included randomized clinical trials of psychosocial and behavioral interventions in individuals with depressive or anxiety symptoms during the COVID-19 outbreak compared to various control conditions. A total of 35 eligible studies with 5457 participants were included. The meta-analysis results showed that psychosocial and behavioral interventions had statistically significant moderate effects on depression [SMD =  - 0.73, 95% CI (- 1.01, - 0.45), I2 = 90%] and large effects on anxiety [SMD =  - 0.90, 95% CI (- 1.19, - 0.60), I2 = 92%], especially in the general population and COVID-19 survivors. Exercise and cognitive behavioral therapy were found to be the most effective treatments with moderate-to-large effect size for depression and anxiety during the outbreak of COVID-19. We also found the internet-based approach could also achieve almost equally significant effects on depression and anxiety compared with face-to-face traditional approach. Our findings suggest that cognitive behavioral therapy and physical exercise intervention are significantly effective for depression and anxiety related to the COVID-19 pandemic regardless of the delivery modes, and gender differences should be taken into consideration for better implementation of interventions in clinical and community practice.

Affective profiles of exercise episodes are associated with maladaptive and adaptive motivations for exercise

OBJECTIVE

Maladaptive exercise (i.e., driven and/or compensatory exercise) is common in binge-spectrum eating disorders (EDs; e.g., bulimia nervosa, binge ED) and associated with adverse treatment outcomes. Alternatively, individuals with EDs are often also engaging in adaptive exercise (e.g., for enjoyment or health improvement), and increasing adaptive exercise may decrease ED symptoms. The current study aimed to understand which exercise episodes are likely to be maladaptive/adaptive so that interventions can appropriately decrease/increase maladaptive and adaptive exercise.

METHOD

We used latent profile analysis (LPA) to identify pre-exercise affective profiles of 661 exercise episodes among 84 individuals with binge-spectrum EDs and examined associations between LPA-identified profiles and subsequent exercise motivations using ecological momentary assessment.

RESULTS

A two-profile solution best fit our data: Profile 1 (n = 174), 'positive affectivity,' and Profile 2 (n = 487), 'negative affectivity.' Episodes in the 'negative affectivity' profile were more likely to be endorsed as both driven and intended to influence body shape/weight. Episodes in the 'positive affectivity' profile were more likely to be endorsed as exercising for enjoyment.

CONCLUSIONS

Results support two phenotypes of exercise episodes, and differential associations of these phenotypes with adaptive and maladaptive motivations for exercise.

Detecting pathological exercise in college men: An investigation using latent profile analysis

OBJECTIVE

Pathological exercise is a dangerous behavior often observed in eating disorders. Data investigating associated characteristics of pathological exercise in men are lacking, despite college men and women being at equally elevated risk for developing eating disorders.

PARTICIPANTS

Two hundred and twenty-four college men who exercise regularly completed a series of self-report questionnaires.

METHODS

Latent profile analysis was used to identify empirically-derived homogenous subgroups of regular exercisers based on severity of other eating disorder attitudes and behaviors. Profiles were also compared on differences in exercise motivation and general psychopathology (i.e., depression, anxiety).

RESULTS

Fit indices indicated a three-profile solution. Profiles described an eating psychopathology group, a low psychopathology group, and a high exercise frequency group without eating disorder features.

CONCLUSIONS

Pathological exercise cannot be identified using exercise frequency alone. Other features like body dissatisfaction and exercise motivation style are relevant in identifying pathological exercise behavior in college men.

Increased Self-Reported Mental Health Problems Among Asian-Americans During the COVID-19 Pandemic in the United States: Evidence from a Nationally Representative Database

BACKGROUND

To investigate changes in mental health outcomes among racial groups between 2019 and 2020.

METHODS

A retrospective cohort study was conducted using the third through fourth quarters of 2019-2020 longitudinal data from the National Health Interview Survey. Self-reports of diagnosed depression and anxiety disorder were key outcomes. We calculated the percentage of depression and anxiety disorder across baseline sample characteristics. Discrete-time hazard models stratified by race/ethnicity were conducted, with hazard ratios (HRs), 95% confidence intervals (CIs), and p-values reported.

RESULTS

Of a total 10,415 individuals, 16.3 and 14.1% reported that they were diagnosed with depression and anxiety disorder in 2019, respectively. In the multivariable model, only Asian-Americans experienced a significant increase in the probability of receiving a diagnosis of depression by 104% between 2019 and 2020 (HR 2.04, 95%CI 1.19-3.52; p = 0.010). Also, Asian-Americans had a 97% (HR 1.97, 95%CI 1.23-3.15; p = 0.005) greater probability of being diagnosed with anxiety disorder in 2020 than in the previous year, while Hispanics and Whites had a relatively moderate increase of 40% (HR 1.40, 95%CI 1.01-1.76; p = 0.040) and 11% (HR 1.11, 95%CI 1.03-1.20; p = 0.007), respectively.

CONCLUSIONS

Asian-Americans experienced a disproportionate increase in mental health conditions during the COVID-19 pandemic. Discriminatory behaviors against Asian-Americans may be important contributors. The study findings suggest the need for serious actions to address this issue.

Psychological treatment of depression: A systematic overview of a 'Meta-Analytic Research Domain'

BACKGROUND

Over the past 16 years, we have developed a 'Meta-analytic Research Domain' (MARD) of all randomized trials of psychological treatments of depression. A MARD is a living systematic review of a research field, that cannot be otherwise covered by one (network) meta-analysis and includes multiple PICOs. In this paper we give an overview of the findings of this MARD.

METHODS

A narrative review of the results of the 118 meta-analyses on psychotherapies for depression that were published within our MARD.

RESULTS

Most research has been conducted on cognitive-behavioral therapy (CBT), but several other psychotherapies are also effective, with few differences between therapies. They can be effectively delivered in individual, group, telephone and guided self-help format and are effective in many different target groups and across different age groups, although the effects are significantly smaller in children and adolescents. Psychotherapies have comparable effects as pharmacotherapy at the short term but are probably more effective at the longer term. Combined treatment is more effective than either psychotherapy or pharmacotherapy alone at the short, but also at the longer term.

LIMITATIONS

We did not summarize all published meta-analyses (protocols, methodological studies) and have not compared our results to those found in other meta-analyses on comparable subjects.

CONCLUSION

Psychotherapies can contribute considerably to a reduction of the disease burden of depression. MARDs are an important next step in the aggregation of knowledge from randomized controlled trials in psychological treatments of depression as well as in other healthcare sectors.

Depression and Suicide Risk Screening: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

Importance

Depression is common and associated with substantial burden. Suicide rates have increased over the past decade, and both suicide attempts and deaths have devastating effects on individuals and families.

Objective

To review the benefits and harms of screening and treatment for depression and suicide risk and the accuracy of instruments to detect these conditions among primary care patients.

Data Sources

MEDLINE, PsychINFO, Cochrane library through September 7, 2022; references of existing reviews; ongoing surveillance for relevant literature through November 25, 2022.

Study Selection

English-language studies of screening or treatment compared with control conditions, or test accuracy of screening instruments (for depression, instruments were selected a priori; for suicide risk, all were included). Existing systematic reviews were used for treatment and test accuracy for depression.

Data Extraction and Synthesis

One investigator abstracted data; a second checked accuracy. Two investigators independently rated study quality. Findings were synthesized qualitatively, including reporting of meta-analysis results from existing systematic reviews; meta-analyses were conducted on original research when evidence was sufficient.

Main Outcomes and Measures

Depression outcomes; suicidal ideation, attempts, and deaths; sensitivity and specificity of screening tools.

Results

For depression, 105 studies were included: 32 original studies (N=385 607) and 73 systematic reviews (including ≈2138 studies [N ≈ 9.8 million]). Depression screening interventions, many of which included additional components beyond screening, were associated with a lower prevalence of depression or clinically important depressive symptomatology after 6 to 12 months (pooled odds ratio, 0.60 [95% CI, 0.50-0.73]; reported in 8 randomized clinical trials [n=10 244]; I2 = 0%). Several instruments demonstrated adequate test accuracy (eg, for the 9-item Patient Health Questionnaire at a cutoff of 10 or greater, the pooled sensitivity was 0.85 [95% CI, 0.79-0.89] and specificity was 0.85 [95% CI, 0.82-0.88]; reported in 47 studies [n = 11 234]). A large body of evidence supported benefits of psychological and pharmacologic treatment of depression. A pooled estimate from trials used for US Food and Drug Administration approval suggested a very small increase in the absolute risk of a suicide attempt with second-generation antidepressants (odds ratio, 1.53 [95% CI, 1.09-2.15]; n = 40 857; 0.7% of antidepressant users had a suicide attempt vs 0.3% of placebo users; median follow-up, 8 weeks). Twenty-seven studies (n = 24 826) addressed suicide risk. One randomized clinical trial (n=443) of a suicide risk screening intervention found no difference in suicidal ideation after 2 weeks between primary care patients who were and were not screened for suicide risk. Three studies of suicide risk test accuracy were included; none included replication of any instrument. The included suicide prevention studies generally did not demonstrate an improvement over usual care, which typically included specialty mental health treatment.

Conclusions and Relevance

Evidence supported depression screening in primary care settings, including during pregnancy and postpartum. There are numerous important gaps in the evidence for suicide risk screening in primary care settings.

Psychological treatment of depression with other comorbid mental disorders: systematic review and meta-analysis

Most people with a mental disorder meet criteria for multiple disorders. We conducted a systematic review and meta-analysis of randomized trials comparing psychotherapies for people with depression and comorbid other mental disorders with non-active control conditions. We identified studies through an existing database of randomized trials on psychotherapies for depression. Thirty-five trials (3,157 patients) met inclusion criteria. Twenty-seven of the 41 interventions in the 35 trials (66%) were based on CBT. The overall effect on depression was large (g = 0.65; 95% CI: 0.40 ~ 0.90), with high heterogeneity (I² = 78%; 95% CI: 70 ~ 83). The ten studies in comorbid anxiety showed large effects on depression (g = 0.90; 95% CI: 0.30 ~ 1.51) and anxiety (g = 1.01; 95% CI: 0.28 ~ 1.74). For comorbid insomnia (11 comparisons) a large and significant effect on depression (g = 0.99; 95% CI: 0.16 ~ 1.82) and insomnia (g = 1.38; 95% CI: 0.38 ~ 2.38) were found. For comorbid substance use problems (12 comparisons) effects on depression (g = 0.25; 95% CI: 0.06 ~ 0.43) and on substance use problems (g = 0.25; 95% CI: 0.01 ~ 0.50) were significant. Most effects were no longer significant after adjustment for publication bias and when limited to studies with low risk of bias. Therapies are probably effective in the treatment of depression with comorbid anxiety, insomnia, and substance use problems.

Fear conditioning and extinction learning in the mood and anxiety disorders spectrum - Associations with the outcome of cognitive behavior therapy

In the current study, we test for the specificity of deficits in fear acquisition and extinction for the anxiety disorders spectrum. We compared fear acquisition and fear extinction learning between a group of patients with either an anxiety disorder (n = 93) or depression (n = 103) attending for treatment in our outpatient center and a sample of healthy control participants (n = 60). To assess the specificity of the predictive validity of extinction learning and safety learning for the outcome of exposure-based treatments, patients additionally underwent disorder-specific cognitive behavior therapy (CBT). We found only very little evidence for differences in safety or extinction learning between healthy controls and patients with anxiety-disorders or depression using both a group-based categorical analytic approach, as well as a trans-diagnostic, dimensional analytic approach. On the contrary, for anxiety patients only, more favorable extinction learning and more favorable safety learning was associated with more favorable treatment outcome. In sum, this specific prediction of treatment outcome in anxiety patients confirms and extends current theoretical models of exposure-based treatments for anxiety disorders, but does not support the notion of general extinction learning deficits in the anxiety disorders spectrum.

Application of unified protocol as a transdiagnostic treatment for emotional disorders during COVID-19: An internet-delivered randomized controlled trial

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has been an emotionally challenging time, especially for young adults. It is associated with a substantial increase in the prevalence of mental health problems, negative symptoms, and stressful experiences that compromise well-being. In low-income countries, internet-delivered psychological services could have a remarkable impact on the population's mental health, given the lack of mental health professionals.

AIM

To investigate the efficacy of internet-delivered cognitive-behavior therapy (CBT)-transdiagnostic intervention for adults with emotional disorders.

METHODS

In this internet-delivered randomized controlled trial, 102 students with an emotional disorder (mean age = 28.20 years, standard deviation = 5.07) were randomly allocated to receive unified protocol (UP) (n = 51) or treatment as the usual intervention. Following a semi-structured clinical interview, participants completed an online survey including the Overall Anxiety Severity and Impairment Scale, Overall Depression Severity and Impairment Scale, Difficulties in Emotion Regulation Scale, Positive and Negative Affect Schedule, and Emotional Style Questionnaire.

RESULTS

The participants showed a high degree of adherence. In total, 78% (n = 40) of the experimental group participants completed the UP treatment. Considering the intention to treat procedure, the results of the analysis of covariance indicated that participants who received UP showed statistically significant changes in depression symptoms [Cohen's d = -1.50 with 95% confidence interval (CI): -1.90 to -1.10], anxiety (Cohen's d = -1.06 with 95%CI: -1.48 to -0.65), difficulties with emotion regulation (Cohen's d = -0.33 with 95%CI: -0.7 to -0.06), positive affect (Cohen's d = 1.27 with 95%CI: 0.85 to 1.68), negative affect (Cohen's d= -1.04 with 95%CI: -1.46 to -0.63), and healthy emotionality (Cohen's d = 0.53 with 95%CI: 0.09 to 0.13) compared with the control group.

CONCLUSION

This study's findings highlight the potential value of transdiagnostic internet-delivered programs for young adults with an emotional disorder during the COVID-19 pandemic, and expand the research examining emotional well-being improvements resulting from CBT-transdiagnostic interventions. The findings suggest that UP, which generally concentrates on reducing negative effects, can increase positive effects.

Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression

Although psychotherapy is a well-established treatment for depression and anxiety, chatbot-delivered psychotherapy is an emerging field that has yet to be explored in depth. This review aims to (a) examine the effectiveness of chatbot-delivered psychotherapy in improving depressive symptoms among adults with depression or anxiety, and (b) evaluate the preferred features for the design of chatbot-delivered psychotherapy. Eight electronic databases were searched for relevant randomized controlled trials. Meta-analysis and random effects meta-regression was conducted using Comprehensive Meta-Analysis 3.0 software. Overall effect was measured using Hedges's g and determined using z statistics at significance level p < .05. Assessment of heterogeneity was done using χ² and I² tests. A meta-analysis of 11 trials revealed that chatbot-delivered psychotherapy significantly improved depressive symptoms (g = 0.54, 95% confidence interval [-0.66, -0.42], p < .001). Although no significant subgroup differences were detected, results revealed larger effect sizes for samples of clinically diagnosed anxiety or depression, chatbots with an embodiment, a combination of types of input and output formats, less than 10 sessions, problem-solving therapy, off-line platforms, and in different regions of the United States than their counterparts. Meta-regression did not identify significant covariates that had an impact on depressive symptoms. Chatbot-delivered psychotherapy can be adopted in health care institutions as an alternative treatment for depression and anxiety. More high-quality trials are warranted to confirm the effectiveness of chatbot-delivered psychotherapy on depressive symptoms. PROSPERO registration number: CRD42020153332.

Comorbid depression and treatment of anxiety disorders, OCD, and PTSD: Diagnosis versus severity

BACKGROUND

Although anxiety and depression are highly comorbid disorders, it remains unclear whether and how a concurrent depression affects the outcome of anxiety treatment.

METHOD

Using anonymized routine outcome monitoring (ROM) data of 740 patients having received specialized treatment for an anxiety disorder, OCD, or PTSD, this study investigates whether a comorbid diagnosis of depression and/or self-reported depression severity levels relate to the patients' improvement following anxiety treatment.

RESULTS

The results show that both the patients with and those without comorbid depression had profited similarly from the anxiety, OCD, or PTSD treatment, regardless of whether depression was merely diagnosed prior to treatment or based on self-reported severity (and assuming a smallest effect size of interest of d = 0.35/r = .2). Importantly, the post-treatment reductions in self-reported depressive symptoms were strongly and positively related to the reductions in self-reported anxiety symptoms and disorder-related disability.

LIMITATIONS

Causal inferences cannot be made due to the retrospective cross-sectional design.

CONCLUSIONS

The outcomes obtained in a naturalistic patient sample support current treatment guidelines recommending evidence-based treatment for anxiety disorders, OCD, and PTSD in patients with and without a comorbid depression. Future treatment studies are recommended for investigate the (bi)directionality of anxiety and depressive symptoms throughout treatment.

Evaluation of the Effect of Comprehensive Nursing in Psychotherapy of Patients with Depression

The purpose of this study is to understand the emotional experience and psychological intervention of patients with depression and to explore the intervention effect of nursing intervention in the psychological treatment of patients with depression, so as to provide clinical nursing work recommendations and provide reference for the implementation of intervention methods for patients with depression. In addition, through case analysis, this paper combines controlled trials to study the effect of comprehensive nursing in the psychotherapy of patients with depression and combines mathematical statistics to process data. Through the analysis of controlled trials, it can be known that on the basis of conventional medication, interventional guidance for patients with depression through comprehensive nursing programs can play an ideal effect in improving the depression of patients. Moreover, it can effectively improve the patient's quality of life after intervention and enhance the patient's nursing satisfaction.

Effects of Curcumin on Depression and Anxiety: A Narrative Review of the Recent Clinical Data

Depressive and anxiety disorders affect a significant proportion of the global population and constitute one of the highest disease burdens worldwide. Conventional pharmacological treatments are traditionally the first line of therapy for individuals affected by these conditions although these are only successful approximately half of the time and are often associated with undesirable side effects. This review describes the use of the natural substance curcumin as a potential alternative treatment of these mental disorders. With this in mind, we analyzed the effects of curcumin in eight clinical studies of depression and five studies of anxiety and assessed these using psychiatric symptom scores and molecular biomarker readouts.

Does app-based unguided self-management improve mental health literacy, patient empowerment and access to care for people with mental health impairments? Study protocol for a randomised controlled trial

INTRODUCTION

Mental disorders pose a huge burden to both individuals and health systems. Symptoms and syndromes often remain undetected and untreated, resulting in comorbidity and chronification. Besides limited resources in healthcare systems, the treatment-gap is-to a large extent-caused by within-person barriers impeding early treatment seeking. These barriers include a lack of trust in professionals, fear of stigmatisation, or the desire to cope with problems without professional help. While unguided self-management interventions are not designed to replace psychotherapy, they may support early symptom assessment and recognition by reducing within-person barriers. Digital self-management solutions may also reduce inequalities in access to care due to external factors such as regional unavailability of services.

METHODS AND ANALYSIS

Approximately 1100 patients suffering from mild to moderate depressive, anxiety, sleep, eating or somatisation-related mental disorders will be randomised to receive either a low-threshold unguided digital self-management tool in the form of a transdiagnostic mental health app or care as usual. The primary outcomes will be mental health literacy, patient empowerment and access to care while secondary outcomes will be symptom distress and quality of life. Additional moderator and predictor variables are negative life events, personality functioning, client satisfaction, mental healthcare service use and application of self-management strategies. Data will be collected at baseline as well as 8 weeks and 6 months after randomisation. Data will be analysed using multiple imputation and analysis of covariance employing the intention-to-treat principle, while sensitivity analyses will be based on different multiple imputation parameters and a per-protocol analysis.

ETHICS AND DISSEMINATION

Approval was obtained from the Ethics Committee of the Faculty of Educational Science and Psychology at the Freie Universität Berlin. The results will be submitted to peer-reviewed specialised journals and presented at national and international conferences.

TRIAL REGISTERATION

The trial has been registered in the DRKS trial register (DRKS00022531);Pre-results.

Looking beyond depression: a meta-analysis of the effect of behavioral activation on depression, anxiety, and activation

BACKGROUND

Depression is a prevalent and impairing condition. Behavioral activation (BA) is a parsimonious, cost-effective, and easily disseminated psychological intervention for depression. The current meta-analysis expands on the existing literature supporting the efficacy of BA for depression by examining the effects of BA on additional relevant outcomes for patients with depression, namely the reduction in anxiety symptoms and increase in activation.

METHODS

Randomized controlled trials of BA for depression compared to active and inactive control were identified via a systematic review. Effect sizes using Hedges's g were calculated for each outcome compared to both active and inactive control using random effects models. Subgroup analyses were used to examine the inclusion of a discussion of values as a moderator of depression symptom outcome in BA.

RESULTS

Twenty-eight studies were included. Meta-analyses of symptom change between groups from baseline-to-post intervention indicated that BA outperformed inactive control conditions for improvements in depression (g = 0.83), anxiety (g = 0.37), and activation (g = 0.64). The difference between BA and active control conditions was not significant for improvements in depression (g = 0.15), anxiety (g = 0.03), and activation (g = 0.04). There was no evidence for a discussion of values augmenting BA efficacy. Study quality was generally low, and there was evidence of publication bias.

CONCLUSIONS

In addition to improving depression, BA shows efficacy for reducing symptoms of anxiety and increasing activation. BA may not offer better outcomes relative to other active interventions. There is room for improvement in the quality of research in this area.

Efficacy and effectiveness of psychological interventions on co-occurring mood and anxiety disorders in older adults: A systematic review and meta-analysis

OBJECTIVES

Co-occurring mood and anxiety disorders are common in older adult populations and are associated with worse long-term outcomes and poorer treatment response than either disorder alone. This systematic review and meta-analysis aimed to examine the efficacy and effectiveness of psychological interventions for treating co-occurring mood and anxiety disorders in older adults.

METHOD

The study was registered (PROSPERO CRD4201603834), databases systematically searched (MEDLINE, PSYCINFO, PubMed and Cochrane Reviews) and articles screened according to PRISMA guidelines.

INCLUSION

Participants aged ≥60 years with clinically significant anxiety and depression, psychological intervention evaluated against control in randomised controlled trial, changes in both anxiety and depression reported at post-treatment. ResultsFour studies were included (total n = 255, mean age range 67-71 years). Overall, psychological interventions (cognitive behavioural therapy, mindfulness) resulted in significant benefits over control conditions (active, waitlist) for treating depression in the presence of co-occurring anxiety (Hedges' g = -0.44), and treating anxiety in the presence of depression (Hedges' g = -0.55). However, conclusions are limited; the meta-analysis was non-significant, few studies were included, several were low quality and there was high heterogeneity between studies. Benefits at follow-up were not established.

CONCLUSION

Co-occurring anxiety and mood disorders can probably be treated simultaneously with psychological interventions in older adults with moderate effect sizes, however, more research is needed. Given comorbidity is common and associated with worse clinical outcomes, more high-quality clinical trials are needed that target the treatment of co-occurring anxiety and mood disorders, and report changes in diagnostic remission for both anxiety and mood disorders independently.

Natural Compounds as Medical Strategies in the Prevention and Treatment of Psychiatric Disorders Seen in Neurological Diseases

Psychiatric disorders are frequently encountered in many neurological disorders, such as Alzheimer’s and Parkinson diseases along with epilepsy, migraine, essential tremors, and stroke. The most common comorbid diagnoses in neurological diseases are depression and anxiety disorders along with cognitive impairment. Whether the underlying reason is due to common neurochemical mechanisms or loss of previous functioning level, comorbidities are often overlooked. Various treatment options are available, such as pharmacological treatments, cognitive-behavioral therapy, somatic interventions, or electroconvulsive therapy. However oral antidepressant therapy may have some disadvantages, such as interaction with other medications, low tolerability due to side effects, and low efficiency. Natural compounds of plant origin are extensively researched to find a better and safer alternative treatment. Experimental studies have shown that phytochemicals such as alkaloids, terpenes, flavonoids, phenolic acids as well as lipids have significant potential in in vitro and in vivo models of psychiatric disorders. In this review, various efficacy of natural products in in vitro and in vivo studies on neuroprotective and their roles in psychiatric disorders are examined and their neuro-therapeutic potentials are shed light.

Factors Contributing to Parents' Psychological and Medical Help Seeking During the COVID-19 Global Pandemic

The COVID-19 pandemic and related quarantine orders will impact the mental health of millions of individuals in the United States. Mental health difficulties, including depression, anxiety, traumatic stress, and other negative mental health sequelae are likely and likely to persist. These challenges will require response from the psychotherapeutic and medical community that addresses the mental health needs of the population. Using binary logistic regression (n = 322 at time 1, and n = 189 at time 2), researchers in the present study examined promotive factors related to having sought medical or behavioral health treatment during a 30-day period in the midst of the COVID-19 pandemic in the United States. Approximately 10% of the sample indicated having sought either type of help. Results from the binary logistic regressions indicated those who sought counseling or medical help were those who reported increased depression symptoms at time 1. The likelihood of help seeking was heightened for those who reported greater caregiving burden, highlighting the need to consider the availability of services for those caring for children during this community-wide crisis.

Unraveling the comorbidity of depression and anxiety in a large inpatient sample: Network analysis to examine bridge symptoms

BACKGROUND

Comorbidities in mental disorders are often understood by assuming a common cause. The network theory of mental disorders offers an alternative to this assumption by understanding comorbidities as mutually reinforced problems. In this study, we used network analysis to examine bridge symptoms between anxiety and depression in a large sample.

METHOD

Using data from a sample of patients diagnosed with both depression and an anxiety disorder before and after inpatient treatment (N = 5,614, mean age: 42.24, 63.59% female, average treatment duration: 48.12 days), network models of depression and anxiety symptoms are estimated. Topology, the centrality of nodes, stability, and changes in network structure are analyzed. Symptoms that drive comorbidity are determined by bridge node analysis. As an alternative to network communities based on categorical diagnosis, we performed a community analysis and propose empirically derived symptom subsets.

RESULTS

The obtained network models are highly stable. Sad mood and the inability to control worry are the most central. Psychomotor agitation or retardation is the strongest bridge node between anxiety and depression, followed by concentration problems and restlessness. Changes in appetite and suicidality were unique to depression. Community analysis revealed four symptom groups.

CONCLUSION

The estimated network structure of depression and anxiety symptoms proves to be highly accurate. Results indicate that some symptoms are considerably more influential than others and that only a small number of predominantly physical symptoms are strong candidates for explaining comorbidity. Future studies should include physiological measures in network models to provide a more accurate understanding.

Music Therapy for Depression Enhanced With Listening Homework and Slow Paced Breathing: A Randomised Controlled Trial

Introduction: There is evidence from earlier trials for the efficacy of music therapy in the treatment of depression among working-age people. Starting therapy sessions with relaxation and revisiting therapeutic themes outside therapy have been deemed promising for outcome enhancement. However, previous music therapy trials have not investigated this issue. Objective: To investigate the efficacy of two enhancers, resonance frequency breathing (RFB) and listening homework (LH), when combined with an established music therapy model (trial registration number ISRCTN11618310). Methods: In a 2 × 2 factorial randomised controlled trial, working-age individuals with depression were allocated into groups based on four conditions derived from either the presence or absence of two enhancers (RFB and LH). All received music therapy over 6 weeks. Outcomes were observed at 6 weeks and 6 months. The primary outcome was the Montgomery Åsberg Depression Rating Scale (MADRS) score. Results: There was a significant overall effect of treatment for the primary outcome favouring the breathing group (d = 0.50, 95% CI 0.07 to 0.93, p = 0.02). The effect was larger after adjustment for potential confounders (d = 0.62, 95% CI 0.16 to 1.08, p = 0.009). Treatment effects for secondary outcomes, including anxiety (anxiety scale of Hospital Anxiety and Depression Scale) and quality of life (RAND-36), were also significant, favouring the breathing group. The homework enhancer did not reach significant treatment effects. Conclusion: We found that the addition of RFB to a music therapy intervention resulted in enhanced therapeutic outcome for clients with depression.

Psychosocial interventions on psychological outcomes of parents with perinatal loss: A systematic review and meta-analysis

BACKGROUND

Perinatal loss can occur due to miscarriages and ectopic pregnancies, among other circumstances. Psychological health of parents can deteriorate due to perinatal loss. Parent's negative psychological outcomes include depression, anxiety, and grief.

OBJECTIVE

To evaluate the effectiveness of psychosocial interventions in reducing depression, anxiety, and grief among parents after perinatal loss.

DESIGN

A systematic review and meta-analysis of randomized controlled trials DATA SOURCES: English language articles published from database inception to 19 November 2019 were systematically retrieved from eight electronic databases (CINAHL, Cochrane, EMBASE, ProQuest Dissertations and Theses Global, PsycINFO, PubMed, Scopus, Web of Science).

REVIEW METHODS

The Cochrane Risk of Bias tool was used to conduct quality appraisal of each individual article and data was analyzed using Review Manager 5.3. A meta-analysis of randomized controlled trials was conducted using a random-effect model.

RESULTS

Among this review's 17 included studies, 15 studies' results were included in the meta-analyses. The remaining two studies were summarized narratively. Meta-analyses revealed that psychosocial interventions significantly reduced depression (95% CI: -0.64 to -0.29, Z = 5.17, p = <0.00001), anxiety (95% CI: -0.50 to -0.18, Z = 4.21, p < 0.0001) and grief (95% CI: -0.71 to -0.32, Z = 5.12, p < 0.0001).

CONCLUSION

Psychosocial interventions are effective in improving depression, anxiety, and grief amongst parents with perinatal loss. Psychosocial care can be provided by medical healthcare professionals and expanded with technology-assisted implementation.

STUDY REGISTRATION NUMBER

CRD42019145526.

Stages of major depressive disorder and behavioral multi-morbidities: Findings from nationally representative epidemiologic study

OBJECTIVE

To present a three stage-model of major depressive disorder (MDD) and evaluate differences in behavioral histories/experiences and multi-morbidities between stages.

METHODS

We used data from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III, a nationally representative cross-sectional survey of US adults (n = 36,309). Based on DSM-5 diagnostic criteria, we identified and compared three groups of adults with MDD histories: 1) new onset MDD (n = 509; 5.6%); 2) chronic MDD (n = 3,871; 46.1%); and 3) recovered from MDD (n = 3,673; 48.3%). Multivariable analyses tested independent group differences in behavioral histories/experiences and diagnostic multi-morbidities between 1) recovered MDD vs. new onset MDD; 2) chronic MDD vs. new onset MDD; and 3) recovered MDD vs. chronic MDD.

RESULTS

Adults who have recovered from MDD as compared to those with chronic MDD were 2.5 times more likely to have recovered from two or more psychiatric disorders in addition to MDD (95% confidence intervals [CI]=1.76-3.61) and from alcohol use disorder (adjusted odds ratio [AOR]=1.28; 95% CI=1.08-1.52). They were also less likely than those with chronic MDD to have borderline personality disorder (p<0.001), pain (p<0.001), or medical co-morbidity (p = 0.003). Adults with new onset MDD were younger than other groups, and more likely than those who have recovered to have borderline personality disorder and concurrent psychiatric or substance use disorders (p<0.05 for all).

CONCLUSION

Behavioral histories/experiences and multi-morbidities differ significantly across stages of MDD. These concurrent problems may impede recovery and foster chronicity and should therefore be an integral focus of treatment.

One-Day Acceptance and Commitment Therapy Compared to Support for Depressed Migraine Patients: a Randomized Clinical Trial

In patients with migraine, depression is associated with poorer medical prognosis, decreased quality of life, and increased risk of suicidality and disability; yet, behavioral interventions have rarely been investigated. The current study compared the efficacy of two 1-day (5- to 6-h) interventions for co-occurring migraine and depression: (1) acceptance and commitment therapy plus migraine education (ACT-ED), and (2) support plus migraine education (S-ED). One hundred and thirty-six patients with comorbid depression and migraine were randomized to a treatment. One hundred and three (76%) completed the ACT-ED (N = 56) or S-ED (N = 47) workshop. Primary outcomes were depression diagnosis and symptoms. Secondary outcomes were anxiety symptoms, headache-related disability and general functioning, and quality of life. Assessments were completed at baseline and 3 and 6 months following the workshop. At the 6-month follow-up, on categorical outcomes, a significantly greater number of people in the ACT-ED condition no longer met criteria for a major depressive episode and exhibited a > 50% drop in symptoms on the Hamilton Rating Scale of Depression. Similarly, though, weaker results were found when examining depressive symptoms dimensionally. On secondary outcomes, people in the ACT-ED condition exhibited significantly greater improvements in anxiety, headache-related disability, and quality of social relationships, compared to S-ED, No differences between groups were observed in general functioning. A 1-day (5- to 6-h) ACT workshop can deliver substantial and lasting benefits to depressed migraineurs, over and above those provided by group support and education. This approach is an attractive alternative to weekly psychotherapy. Clinicaltrials.gov # NCT02108678.

Integrating the Hierarchical Taxonomy of Psychopathology (HiTOP) into clinical practice

OBJECTIVE

Diagnosis is a cornerstone of clinical practice for mental health care providers, yet traditional diagnostic systems have well-known shortcomings, including inadequate reliability, high comorbidity, and marked within-diagnosis heterogeneity. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a data-driven, hierarchically based alternative to traditional classifications that conceptualizes psychopathology as a set of dimensions organized into increasingly broad, transdiagnostic spectra. Prior work has shown that using a dimensional approach improves reliability and validity, but translating a model like HiTOP into a workable system that is useful for health care providers remains a major challenge.

METHOD

The present work outlines the HiTOP model and describes the core principles to guide its integration into clinical practice.

RESULTS

Potential advantages and limitations of the HiTOP model for clinical utility are reviewed, including with respect to case conceptualization and treatment planning. A HiTOP approach to practice is illustrated and contrasted with an approach based on traditional nosology. Common barriers to using HiTOP in real-world health care settings and solutions to these barriers are discussed.

CONCLUSIONS

HiTOP represents a viable alternative to classifying mental illness that can be integrated into practice today, although research is needed to further establish its utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Recent Studies on Anti-Depressant Bioactive Substances in Selected Species from the Genera Hemerocallis and Gladiolus: A Systematic Review

Herbal therapy is a potential alternative applied to pharmacological alleviation of depression symptoms and treatment of this disorder, which is predicted by the World Health Organization (WHO) to be the most serious health problem worldwide over the next several years. It has been well documented that many herbs with psychotropic effects have far fewer side effects than a variety of pharmaceutical agents used by psychiatrists for the treatment of depression. This systematic review presents literature data on the antidepressant activity of representatives of the genera Hemerocallis (H. fulva and H. citrina Baroni, family Xanthorrhoeaceae) and Gladiolus (G. dalenii, family Iridaceae) and on biologically active compounds and their mechanisms of action to consider the application of herbal preparations supporting the treatment of depression.

Modelling changes in anxiety and depression during low-intensity cognitive behavioural therapy: An application of growth mixture models

OBJECTIVES

Research largely supports the clinical effectiveness of low-intensity cognitive behavioural therapy (LICBT) for mild-to-moderate anxiety and depression, delivered by psychological well-being practitioners (PWPs). Knowledge regarding the predictors of treatment response, however, is relatively limited. The primary aim of this study was to model the heterogeneity in longitudinal changes in anxiety and depression throughout LICBT provided by PWPs in Northern Ireland (NI), and to explore associations between pre-treatment variables and differences in treatment response.

METHODS

Growth mixture modelling (GMM) techniques were employed to examine changes in psychological status in clients (N = 253) over the first six sessions of treatment, to identify divergent early response trajectories. A series of pre-treatment variables were used to predict class membership using chi-square tests and binary logistic regression models.

RESULTS

There was one class representing improvement and one representing no improvement for both anxiety and depression. Class membership was predictive of treatment outcome. Pre-treatment variables associated with less improvement included unemployment, risk of suicide, neglect of self or others, using medication, receiving previous or concurrent treatments, a longer duration of difficulties, and comorbidities.

CONCLUSIONS

Findings indicate most of the sample populated an 'improvers' class for both depression and anxiety. Pre-treatment variables identified as predictive of poor treatment response may need to be considered by practitioners in potential triage referral decision policies, supporting cost-effective and efficient services. Further research around predictors of clinical outcome is recommended.

PRACTITIONER POINTS

Most of the sample belonged to an 'improvers' class. Several pre-treatment variables predicted poor treatment response (unemployment, suicide risk, neglect, medication, previous or concurrent treatments, longer duration of difficulties, and comorbidities). Few studies have utilized GMM to determine predictors of outcome following LICBT Regarding pre-treatment variables, the possibility of self-report bias cannot be excluded. The time period was relatively short, although represented the optimum number of sessions recommended for LICBT. The lack of a control group and random allocation were the main limitations.

A new conception and subsequent taxonomy of clinical psychological problems

BACKGROUND

A taxonomy of the objects of study, theory, assessment, and intervention is critical to the development of all clinical sciences. Clinical psychology has been conceptually and administratively dominated by the taxonomy of an adjacent discipline - psychiatry's Diagnostic and statistical manual of mental disorders (DSM). Many have called for a 'paradigm shift' away from a medical nosology of diseases toward clinical psychology's own taxonomy of clinical psychological problems (CPPs), without being able to specify what is to be listed and classified.

MAIN TEXT

An examination of DSM's problems for clinical psychology, especially its lack of clinical utility, and a search for the essence of CPPs in what clinical psychologists actually do, leads to the proposal that: The critical psychological-level phenomenon underlying CPPs is the occurrence of 'problem-maintaining circles' (PMCs) of causally related cognitions, emotions, behaviours, and/or stimuli. This concept provides an empirically-derived, theory-based, treatment-relevant, categorical, essentialist, parsimonious, and nonstigmatizing definition of CPPs. It distinguishes psychological problems in which PMCs have not (yet?) formed, and which may respond to 'counseling', clinical psychological problems in which active PMCs require clinical intervention, and psychopathological problems which are unlikely to be 'cured' by PMC-breaking alone.

CONCLUSION

A subsequent classification and coding system of PMCs is proposed, and expected benefits to research, communication, and the quality of case formulation in clinical psychology are described, reliant upon a development effort of some meaningful fraction of that which has been devoted to the DSM.

Do comorbid social and other anxiety disorders predict outcomes during and after cognitive therapy for depression?

BACKGROUND

Cognitive therapy (CT) improves symptoms in adults with major depressive disorder (MDD) plus comorbid anxiety disorder, but the specific type of anxiety may influence outcomes. This study compared CT outcomes among adults with MDD plus social, other, or no comorbid anxiety disorders.

METHODS

Outpatients with recurrent MDD (N = 523, including 87 with social and 110 with other comorbid anxiety disorders) received acute-phase CT. Higher risk responders (n = 241 with partial or unstable response) were randomized to 8 months of continuation treatment (CT or clinical management plus fluoxetine or pill placebo), followed by 24 months of assessment. Lower risk responders (n = 49) were assessed for 32 months without additional research treatment. Depression, anxiety symptoms, and social avoidance were measured repeatedly.

RESULTS

Other (non-social), but not social, anxiety disorders predicted elevated depression and anxiety symptoms throughout and after acute-phase CT. Social, but not other, anxiety disorder predicted greater reduction in depressive symptoms during acute-phase CT and elevated social avoidance during and after acute-phase CT.

LIMITATIONS

Anxiety disorders were assessed only before acute-phase treatment. The anxiety symptom measure was brief. Generalization to other patient populations and treatments is unknown.

CONCLUSIONS

Non-social comorbid anxiety disorders may reduce the efficacy of acute-phase CT for MDD by diminishing both short- and longer term outcomes relative to depressed patients without comorbid anxiety disorders. Comorbid social anxiety disorder may increase relative reductions in depressive symptoms during acute-phase CT for MDD, but patients with comorbid social anxiety disorder may require specialized focus on social avoidance during CT.