Depression Research

Transdiagnostic treatment of depression and anxiety: a meta-analysis

BackgroundIn the past 10 years an increasing number of randomised trials have examined the effects of transdiagnostic treatments of patients with depression or anxiety. We conducted the first comprehensive meta-analysis of the outcomes of this emerging field.MethodsWe used the searches in PubMed, PsychINFO, Embase and the Cochrane library of an existing database of randomised trials of psychological interventions for depression to identify studies comparing a transdiagnostic treatment of patients with depression or anxiety with a control group (deadline 1 January 2022). We conducted random-effects meta-analyses and examined the effects on depression and anxiety at the short and longer term.ResultsWe included 45 randomised controlled trials with 51 comparisons between a psychotherapy and a control group and 5530 participants. Thirty-five (78%) studies were conducted in the last 10 years. The overall effect size was g = 0.54 (95% CI 0.40–0.69; NNT = 5.87), with high heterogeneity (I2 = 78; 95% CI 71–83), and a broad PI (−0.31–1.39). The effects remained significant in a series of sensitivity analyses, including exclusion of outliers, adjustment for publication bias, for studies with low risk of bias, and in multilevel analyses. The results were comparable for depression and anxiety separately. At 6 months after randomisation the main effects were still significant, but not at 12 months, although the number of studies was small.ConclusionsTransdiagnostic treatments of patients with depression or anxiety are increasingly examined and are probably effective at the short term.

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Depression, anxiety common among college students

Depression and anxiety among college students is a growing public health problem. And new research suggests the problem may be worse for students who aren’t the same race as most of their peers. The new study found that students who were not the majority race at a predominantly white college reported significantly higher rates of depression than their white peers. At the mostly white university, more than half of the students who self-identified as races other than white reported feelings of mild depression. An additional 17% said they were experiencing moderate to severe depression.

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New Study Reveals: Childhood Brain Morphometry Predicts Future Risk of Psychosis, Depression, and Anxiety

Background
Gray matter morphometry studies have lent seminal insights into the etiology of mental illness. Existing research has primarily focused on adults and then, typically on a single disorder. Examining brain characteristics in late childhood, when the brain is preparing to undergo significant adolescent reorganization and various forms of serious psychopathology are just first emerging, may allow for a unique and highly important perspective of overlapping and unique pathogenesis.

Methods
A total of 8645 youth were recruited as part of the Adolescent Brain and Cognitive Development study. Magnetic resonance imaging scans were collected, and psychotic-like experiences (PLEs), depressive, and anxiety symptoms were assessed three times over a 2-year period. Cortical thickness, surface area, and subcortical volume were used to predict baseline symptomatology and symptom progression over time.

Results
Some features could possibly signal common vulnerability, predicting progression across forms of psychopathology (e.g. superior frontal and middle temporal regions). However, there was a specific predictive value for emerging PLEs (lateral occipital and precentral thickness), anxiety (parietal thickness/area and cingulate), and depression (e.g. parahippocampal and inferior temporal).

Conclusion
Findings indicate common and distinct patterns of vulnerability for varying forms of psychopathology are present during late childhood, before the adolescent reorganization, and have direct relevance for informing novel conceptual models along with early prevention and intervention efforts.

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social media loneliness anxiety depression Dr Jonathan Haverkampf psychotherapy psychiatry

Cutting back on social media reduces anxiety, depression, loneliness

Researchers found college students who tried to cut their social media use to 30 minutes per day scored significantly lower for anxiety, depression, loneliness and fear of missing out at the end of the two-week experiment and when compared to the control group.

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How Are People in Ukraine Coping Six Months into the War? A Study on Stress, Anxiety, and Depression.

This study investigated the prevalence and predictors of mental health issues, specifically anxiety, depression, and stress, among 706 Ukrainians from different age groups and regions, both men and women, in the midst of the military conflict with Russia. The survey was conducted six months after the conflict began, from August to October 2022. The results

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anxiety depression COVID-19 Dr Jonathan Haverkampf

Discover How Anxiety and Depression Affect Long COVID

Did you know that anxiety and depression might be playing a role for some people with long COVID? That’s what researchers from the University of California, Los Angeles (UCLA) found in their study. They discovered that patients who experienced difficulties with thinking during COVID-19 infection also tended to have lingering physical symptoms more frequently than

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art anxiety depression - Dr Jonathan Haverkampf

Discover How Interactive Art Exhibitions Can Boost Your Mood and Reduce Anxiety

Viewing interactive art online can improve our mood and reduce anxiety. People reported significant improvements in mood and anxiety after just a few minutes of viewing an interactive Monet Water Lily art exhibition from Google Arts and Culture. The study also found that individuals with high levels of aesthetic responsiveness benefit more from online art viewing.

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depression insulin dopamine Dr Jonathan Haverkampf

Can Insulin Affect Depression by Affecting Dopamine and Reward Processing in the Brain?

Publication date: June 2023Source: Neuroscience & Biobehavioral Reviews, Volume 149Author(s): Judith Gruber, Ruth Hanssen, Mishal Qubad, Aicha Bouzouina, Vivi Schack, Hannah Sochor, Carmen Schiweck, Mareike Aichholzer, Silke Matura, David A. Slattery, Yurdaguel Zopf, Stephanie L. Borgland, Andreas Reif, Sharmili Edwin Thanarajah

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