JustKiddo/KiddosVault huggingface dataset:
Positive imagery training increases positive self-referent cognition in depression.

Depressed adults often show a bias towards negative self-referent processing at the expense of positive self-referent processing. The current study assessed whether a mental imagery intervention (Positive Self Reference Training-PSRT) delivered via the Internet could improve self-referent processing and depressive symptomatology among adults with moderate or greater depression symptoms. Participants were recruited via online methods and randomly assigned to one of two computerized interventions: active PSRT (n=44) or control training (NTC; n=43). The PSRT involved visualizing the self in response to different positive cues (e.g., an achievement) every other day for two weeks. The NTC provided neutral cues about objects. Self-referential processing of positive and negative adjectives and depression symptoms were measured at baseline, one week, and two weeks after initiating training. Over those two weeks, PSRT participants showed a greater increase in positive self-referent processing than did NTC participants. Negative self-referent processing and symptoms of depression declined comparably in both groups. Similarly, for both groups, increase in positive and decrease in negative self-referent processing was associated with a greater reduction in depression. These results indicate that mental imagery has the potential to improve self-referential processing, especially for positive stimuli, which may, in turn, help reduce depressive symptomatology.
A systematic meta-review of patient-level predictors of psychological therapy outcome in major depressive disorder.

Psychological therapies are effective for treating major depressive disorder, but current clinical guidelines do not provide guidance on the personalization of treatment choice. Established predictors of psychotherapy treatment response could help inform machine learning models aimed at predicting individual patient responses to different therapy options. Here we sought to comprehensively identify known predictors. EMBASE, Medline, PubMed, PsycINFO were searched for systematic reviews with or without meta-analysis published until June 2020 to identify individual patient-level predictors of response to psychological treatments. 3113 abstracts were identified and 300 articles assessed. We qualitatively synthesized our findings by predictor category (sociodemographic; symptom profile; social support; personality features; affective, cognitive, and behavioural; comorbidities; neuroimaging; genetics) and treatment type. We used the AMSTAR 2 to evaluate the quality of included reviews. Following screening and full-text assessment, 27 systematic reviews including 12 meta-analyses were eligible for inclusion. 74 predictors emerged for various psychological treatments, primarily cognitive behavioural therapy, interpersonal therapy, and mindfulness-based cognitive therapy. A paucity of studies examining predictors of psychological treatment outcome, as well as methodological heterogeneities and publication biases limit the strength of the identified predictors. The synthesized predictors could be used to supplement clinical decision-making in selecting psychological therapies based on individual patient characteristics. These predictors could also be used as a priori input features for machine learning models aimed at predicting a given patient's likelihood of response to different treatment options for depression, and may contribute toward the development of patient-specific treatment recommendations in clinical guidelines.
Acceptance and commitment therapy as a web-based intervention for depressive symptoms: randomised controlled trial.

Depression is a highly prevalent disorder, causing a large burden of disease and substantial economic costs. Web-based self-help interventions seem promising in promoting mental health. To compare the efficacy of a guided web-based intervention based on acceptance and commitment therapy (ACT) with an active control (expressive writing) and a waiting-list control condition (Netherlands Trial Register NTR1296). Adults with depressive symptoms from the general population were randomised to ACT (n = 82), expressive writing (n = 67) or waiting-list control (n = 87). The main outcome was reduction in depressive symptoms assessed with the Center for Epidemiological Studies - Depression scale. Significant reductions in depressive symptoms were found following the ACT intervention, compared with the control group (Cohen's d = 0.56) and the expressive writing intervention (d = 0.36). The effects were sustained at 6-month and 12-month follow-up. Acceptance and commitment therapy as a web-based public mental health intervention for adults with depressive symptoms can be effective and applicable.
An economic evaluation of an augmented cognitive behavioural intervention vs. computerized cognitive training for post-stroke depressive symptoms.

Stroke survivors encounter emotional problems in the chronic phase after stroke. Post-stroke depressive symptoms have major impact on health-related quality of life (HRQol) and lead to increased hospitalization and therefore substantial healthcare costs. We present a cost-effectiveness and cost-utility evaluation of a cognitive behavioural therapy augmented with occupational and movement therapy to support patients with a stroke with depressive symptoms in goal-setting and goal attainment (augmented CBT) in comparison with a computerized cognitive training program (CogniPlus) as a control intervention. A trial-based economic evaluation was conducted from a societal perspective with a time horizon of 12 months. Stroke patients (aged 18+ years) with signs of depression (Hospital Anxiety and Depression Scale (HADS) - subscale depression>7) were eligible to participate. Primary outcomes were the HADS and Quality Adjusted Life Years (QALYs) based on the three-level five-dimensional EuroQol (EQ-5D-3 L). Missing data were handled through mean imputation (costs) and multiple imputation (HADS and EuroQol), and costs were bootstrapped. Sensitivity analyses were performed to test robustness of baseline assumptions. Sixty-one patients were included. The average total societal costs were not significantly different between the control group (€9,998.3) and the augmented CBT group (€8,063.7), with a 95 % confidence interval (-5,284, 1,796). The augmented CBT intervention was less costly and less effective from a societal perspective on the HADS, and less costly and slightly more effective in QALYs, in comparison with the control treatment. The cost-effectiveness and cost-utility analyses provided greater effects and fewer costs for the augmented CBT group, and fewer effects and costs for the HADS. Based on a willingness to pay (WTP) level of €40,000 per QALY, the augmented CBT intervention had a 76 % chance of being cost-effective. Sensitivity analyses showed robustness of results. The stroke-specific augmented CBT intervention did not show convincing cost-effectiveness results. In addition to other literature, this study provided new insights into the potential cost-effectiveness of an adjusted cognitive behavioural therapy intervention. However, as our study showed a 76 % chance of being cost-effective for one outcome measure (QALY) and did not provide convincing cost-effectiveness results on the HADS we recommend further research in a larger population.
The potential of predictive analytics to provide clinical decision support in depression treatment planning.

To review progress developing clinical decision support tools for personalized treatment of major depressive disorder (MDD). Over the years, a variety of individual indicators ranging from biomarkers to clinical observations and self-report scales have been used to predict various aspects of differential MDD treatment response. Most of this work focused on predicting remission either with antidepressant medications versus psychotherapy, some antidepressant medications versus others, some psychotherapies versus others, and combination therapies versus monotherapies. However, to date, none of the individual predictors in these studies has been strong enough to guide optimal treatment selection for most patients. Interest consequently turned to decision support tools made up of multiple predictors, but the development of such tools has been hampered by small study sample sizes. Design recommendations are made here for future studies to address this problem. Recommendations include using large prospective observational studies followed by pragmatic trials rather than smaller, expensive controlled treatment trials for preliminary development of decision support tools; basing these tools on comprehensive batteries of inexpensive self-report and clinical predictors (e.g., self-administered performance-based neurocognitive tests) versus expensive biomarkers; and reserving biomarker assessments for targeted studies of patients not well classified by inexpensive predictor batteries.
Cognitive reactivity as outcome and working mechanism of mindfulness-based cognitive therapy for recurrently depressed patients in remission.

Major depressive disorder is a prevalent condition with high relapse rates. There is evidence that cognitive reactivity is an important vulnerability factor for the recurrence of depression. Mindfulness-based interventions are designed to reduce relapse rates, with cognitive reactivity as one of the proposed working mechanisms. In a randomised controlled trial we compared the effect of mindfulness-based cognitive therapy (MBCT) with treatment-as-usual (TAU) on cognitive reactivity in recurrently depressed patients (N=115). Depressive symptoms, cognitive reactivity, and mindfulness skills were assessed pre and post treatment. Patients in the MBCT group reported a significantly greater reduction in cognitive reactivity than those in the TAU group (d=.51). The reduction of cognitive reactivity appeared to mediate the association between MBCT/TAU and decrease of depressive symptoms, using pre and post scores. The current study provides evidence that MBCT reduces cognitive reactivity and preliminary evidence that cognitive reactivity is a working mechanism of MBCT.
Effectiveness of Peer-Supported Computer-Based CBT for Depression Among Veterans in Primary Care.

This study tested whether computerized cognitive-behavioral therapy for depression supported by a peer specialist with lived experience of depression (PS-cCBT) improves mental health-related outcomes for primary care patients. In the U.S. Department of Veterans Affairs, primary care patients with a new diagnosis of depression (N=330) were randomly assigned to 3 months of PS-cCBT or a usual-care control condition. Linear mixed-effects models were used to assess differences in depression symptoms, general mental health status, quality of life, and mental health recovery measured at baseline and 3 and 6 months. In adjusted analyses, participants who received PS-cCBT experienced 1.4 points' (95% confidence interval [CI]=0.3-2.5, p=0.01) greater improvement in depression symptoms on the Quick Inventory of Depression Symptomatology-Self Report at 3 months, compared with the control group, but no significant difference was noted at 6 months. PS-cCBT recipients also had 2.6 points' (95% CI=0.5-4.8, p=0.02) greater improvement in quality of life at 3 months on the Quality of Life Enjoyment and Satisfaction Questionnaire Short Form and greater improvement in recovery on the Recovery Assessment Scale at 3 months (3.6 points; 95% CI=0.9-6.2, p=0.01) and 6 months (4.5 points; 95% CI=1.2-7.7, p=0.01). PS-cCBT is an effective option for improving short-term depression symptoms and longer-term recovery among primary care patients newly diagnosed as having depression.
Acceptability of online self-help to people with depression: users' views of MoodGYM versus informational websites.

Little is known about the factors that influence acceptability of and adherence to online psychological interventions. Evidence is needed to guide further development of promising programs. Our goal was to investigate users' views of two online approaches to self-help for depression: computerized cognitive behavior therapy (cCBT) and informational websites, in a workplace context. Computerized CBT offers an inexpensive and accessible alternative to face-to-face therapy, and employers have an interest in reducing the working time lost to depression or stress. Yet little is known about how employees, who have actual experience of using online approaches, judge the intervention as a process. The qualitative data reported here were collected within an online randomized controlled trial whose participants had diagnosable depression. The experimental intervention was a 5-week cCBT program called MoodGYM, and the control condition was five informational websites about mental health. Data were collected via online questionnaires. There was no evidence of the superiority of either in terms of treatment outcomes. In parallel, using brief rating scales and open-ended questions designed for this purpose, we examined the relative acceptability of each approach over time, including perceptions of cCBT compared to seeing a health care professional. At least 60% of participants held online therapy to be at least as acceptable as seeing a professional about mental health issues, and they were more likely to retain this opinion over time if they used the interactive program, MoodGYM, rather than informational websites alone. Barriers to cCBT use fell into four categories: intrinsic, intrapersonal problems; extrinsic technical problems; generic issues mostly pertaining to perceptions of cCBT; and specific issues about the intervention or control condition. These indicate strategies for improving engagement. As first-aid for mild to moderate mental health problems, evidence-based computerized approaches have broad acceptability. This could be increased by attending to the barriers noted here and by proactively managing users' expectations at individual and organizational levels. The findings have implications for occupational health providers and others addressing the needs of working-age adults with depression. They also raise methodological issues for online research. International Standard Randomized Controlled Trial Number (ISRCTN): 24529487; http://www.controlled-trials.com/ISRCTN24529487 (Archived by Webcite at http://www.webcitation.org/6O8cCL4mh).
Lifestyle medicine for depression: A meta-analysis of randomized controlled trials.

The treatment effect of multi-component LM interventions on depressive symptoms has not yet been examined. We systematically searched six databases from inception to February 2020 to identify randomized controlled trials (RCTs) involving any multi-component LM interventions (physical activity, nutritional advice, sleep management, and/or stress management) on depressive symptoms relative to care as usual (CAU), waitlist (WL), no intervention (NI), or attention control (AC) comparisons. Fifty studies with 8,479 participants were included. Multi-component LM interventions reduced depressive symptoms significantly relative to the CAU (p >.001; d = 0.20) and WL/NI (p > .01; d = 0.22) comparisons at immediate posttreatment. However, no significant difference was found when compared with AC. The intervention effects were maintained in the short-term (1- to 3-month follow-up) relative to the CAU comparison (p > .05; d = 0.25), but not in the medium- and long-term. The moderator analyses examining the effect of multi-component LM interventions compared with CAU suggested that the number of lifestyle factors adopted was a significant moderator. Although disease type was not a significant moderator, there was a tendency that the clinical effect of multi-component LM interventions was stronger (d = 0.45) in those diagnosed with major depression. No publication bias was detected. Low number of RCTs available in some subgroup analyses prevented from finding meaningful effects. Results may not be extended to major depression, because data on secondary depression were captured. Multi-component LM interventions appeared to be effective in mitigating depressive symptoms; however, the magnitude of the clinical effect was small. Future research is needed to assess more comprehensive and individualized LM interventions which have a greater emphasis on motivational and compliance aspects and focus solely on individuals with depression.
Use of Computer and Mobile Technologies in the Treatment of Depression.

Major depression (MDD) is a common and disabling disorder. Research has shown that most people with MDD receive either no treatment or inadequate treatment. Computer and mobile technologies may offer solutions for the delivery of therapies to untreated or inadequately treated individuals with MDD. The authors review currently available technologies and research aimed at relieving symptoms of MDD. These technologies include computer-assisted cognitive-behavior therapy (CCBT), web-based self-help, Internet self-help support groups, mobile psychotherapeutic interventions (i.e., mobile applications or apps), technology enhanced exercise, and biosensing technology.
Enhancing inpatient psychotherapeutic treatment with online self-help: study protocol for a randomized controlled trial.

Depression is one of the most debilitating and costly mental disorders. There is increasing evidence for the efficacy of online self-help in alleviating depression. Knowledge regarding the options of combining online self-help with inpatient psychotherapy is still limited. Therefore, we plan to evaluate an evidence-based self-help program (deprexis®; Gaia AG, Hamburg, Germany) to improve the efficacy of inpatient psychotherapy and to maintain treatment effects in the aftercare period. Depressed patients (n=240) with private internet access aged between 18 and 65 are recruited during psychosomatic inpatient treatment. Participants are randomized to an intervention or control group at the beginning of inpatient treatment. The intervention group (n=120) is offered an online self-help program with 12 weekly tasks, beginning during the inpatient treatment. The control group (n=120) obtains access to an online platform with weekly updated information on depression for the same duration. Assessments are conducted at the beginning (T0) and the end of inpatient treatment (T1), at the end of intervention (T2) and 6 months after randomization (T3). The primary outcome is the depression score measured by the Beck Depression Inventory-II at T2. Secondary outcome measures include anxiety, self-esteem, quality of life, dysfunctional cognitions and work ability. We expect the intervention group to benefit from additional online self-help during inpatient psychotherapy and to maintain the benefits during follow-up. This could be an important approach to develop future concepts of inpatient psychotherapy. ClinicalTrials.gov Identifier: NCT02196896 (registered on 16 July 2014).
Effect of a cognitive behavioral self-help intervention on depression, anxiety, and coping self-efficacy in people with rheumatic disease.

The aim of this study was to investigate whether a new cognitive-behavioral self-help program with minimal coaching could improve psychological well-being (depression, anxiety, and coping self-efficacy) in people with rheumatic disease and depressive symptoms. In total, 82 persons with a rheumatic disease enrolled in a randomized controlled trial were allocated to either a group receiving the self-help program or a waiting list control condition group. For both groups, measurements were done at baseline, posttest, and followup. The outcome measures were the depression and anxiety scales of the Hospital Anxiety and Depression Scale and an adaptation of the Generalized Self-Efficacy Scale. Repeated-measures analyses of covariance were performed to evaluate changes in outcome measures from pretest to posttest and from posttest to followup. The results showed that the self-help program was effective in reducing symptoms of depression and anxiety and in strengthening coping self-efficacy. The positive effects remained after a followup period of 2 months. This cost-effective program could very well be used as a first step in a stepped care approach or as one of the treatment possibilities in a matched care approach.
Are all psychotherapies equally effective in the treatment of adult depression? The lack of statistical power of comparative outcome studies.

More than 100 comparative outcome trials, directly comparing 2 or more psychotherapies for adult depression, have been published. We first examined whether these comparative trials had sufficient statistical power to detect clinically relevant differences between therapies of d=0.24. In order to detect such an effect size, power calculations showed that a trial would need to include 548 patients. We selected 3 recent meta-analyses of psychotherapies for adult depression (cognitive behaviour therapy (CBT), interpersonal psychotherapy and non-directive counselling) and examined the number of patients included in the trials directly comparing other psychotherapies. The largest trial comparing CBT with another therapy included 178 patients, and had enough power to detect a differential effect size of only d=0.42. None of the trials in the 3 meta-analyses had enough power to detect effect sizes smaller than d=0.34, but some came close to the threshold for detecting a clinically relevant effect size of d=0.24. Meta-analyses may be able to solve the problem of the low power of individual trials. However, many of these studies have considerable risk of bias, and if we only focused on trials with low risk of bias, there would no longer be enough studies to detect clinically relevant effects. We conclude that individual trials are heavily underpowered and do not even come close to having sufficient power for detecting clinically relevant effect sizes. Despite this large number of trials, it is still not clear whether there are clinically relevant differences between these therapies.
Efficacy and process of cognitive bibliotherapy for the treatment of depression in jail and prison inmates.

The purpose of this two-study project was to determine the effects of cognitive bibliotherapy for the treatment of depressive symptoms in jail and prison inmates. Participants in both samples were randomly assigned to either a treatment group that received the 4-week bibliotherapy program or a delayed-treatment control group. In the jail sample, which served as a pilot study for the more detailed prison study, the treatment group showed greater improvement on the A. T. Beck and R. A. Steer Beck Depression Inventory, 1993, Psychological Corporation, San Antonio, TX and the DAS (M. M. Weissman, & A. T. Beck Development and validation of the Dysfunctional Attitudes Scale: A preliminary investigation; paper presented at the meeting of the American Educational Research Association, November, 1978, Toronto, ON, Canada). In the prison sample, results indicated that the treatment group showed greater improvement on the HRSD (M. Hamilton, Development of a rating scale for primary depressive illness, British Journal of Social & Clinical Psychology, Vol. 6, 1967, pp. 278-296) and the A. T. Beck, R. A. Steer, & G. K. Brown Beck Depression Inventory (2nd ed.), 1996, Psychological Corporation, San Antonio, TX. Approximately half of the treated participants achieved clinically significant change. Analyses of the follow-up data revealed maintenance of treatment gains in the prison and jail samples. In the prison study, significant changes were also observed on a general measure of psychological distress. Overall, results suggest that cognitive bibliotherapy may be efficacious for depressed inmates.