Anxiety Research

Understanding PTSD Symptoms Over Time: Longitudinal Network Analysis

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Background
Network modeling has been applied in a range of trauma-exposed samples, yet results are limited by an over reliance on cross-sectional data. The current analyses used posttraumatic stress disorder (PTSD) symptom data collected over a 5-year period to estimate a more robust between-subject network and an associated symptom change network.

Methods
A PTSD symptom network is measured in a sample of military veterans across four time points (Ns = 1254, 1231, 1106, 925). The repeated measures permit isolating between-subject associations by limiting the effects of within-subject variability. The result is a highly reliable PTSD symptom network. A symptom slope network depicting covariation of symptom change over time is also estimated.

Results
Negative trauma-related emotions had particularly strong associations with the network. Trauma-related amnesia, sleep disturbance, and self-destructive behavior had weaker overall associations with other PTSD symptoms.

Conclusions
PTSD’s network structure appears stable over time. There is no single ‘most important’ node or node cluster. The relevance of self-destructive behavior, sleep disturbance, and trauma-related amnesia to the PTSD construct may deserve additional consideration.

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social media loneliness anxiety depression Dr Jonathan Haverkampf psychotherapy psychiatry

Cutting back on social media reduces anxiety, depression, loneliness

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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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Research: Reducing stress and social anxiety in college students

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This article examined the impact of online education on the wellbeing and emotional health of college students. It considered the social value of stress and anxiety pathology as “normal” side effects throughout the COVID-19 lockdown. Factors appropriate for educational technology were selected and submitted for evaluation to a sample of 114 college students in a semi-structured questionnaire. This research found that educational content and delivery methods, as well as increased homework and time spent online, have potentially contributed to heightened levels of stress, depression, and social anxiety disorder among approximately one-third of students who have engaged in digital learning. The results also prove that young people were particularly susceptible to stress and social anxiety disorders during the lockdown, making them one of the most vulnerable social groups. To enhance the educational experience, several suggestions have been proposed, including adapting educational content, expanding Internet accessibility, providing appropriate homework, and adjusting schedules to accommodate students’ educational capabilities. Voluntary routine mental health assessments of students, teachers, and staff and customized online counseling for vulnerable subjects are recommended as primary health care measures during online education.

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Virtually screening adults for depression, anxiety, and suicide risk using machine learning and language from an open-ended interview

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Current screening techniques for depression, anxiety, and suicide rely on retrospective patient reports to standardized scales. But combining a natural language processing (NLP) and machine learning (ML) approach with qualitative screening shows promise. This new approach detects depression, anxiety, and suicide risk by analyzing a patient’s language during a 5-to-10-min open-ended interview. This recent study

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psychotherapy communicaation relationship persuasiveness persuasion Dr Jonatthan Haverkampf psychotherapy psychiatry

Psychotherapist’s persuasiveness in anxiety: Scale development and relation to the working alliance.

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Effective communication can have a positive impact on a client’s struggle. Psychotherapy has been found to be an effective remedy for many mental health conditions, but it’s important for therapists to be aware of ways how to communicate the salience of their approach to their clients. A new idea is to rate and measure the

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Transforming Psychotherapy Through Mindful Compassion: The Impact on Empathy, Symptomatology and Mechanisms of Change – Evidence from a Randomized Controlled Trial.

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Recent years have seen an inspiring breakthrough in psychotherapy – mindfulness and compassion-based interventions (MCBI) can help clinicians to acquire essential skills and improve the relationships they have with patients. A new study reveals that after MCBI, therapists see an increase in psychotherapeutic mindfulness skills (PMS) at both follow-up and after the intervention. Their empathy

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

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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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Achieving Academic Success Without the Anxiety: An Analysis

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Using education survey data from 153, 317 Grade 4 students and 150, 040 Grade 8 students in China, this study examined the relationship between time on homework and academic achievement and learning anxiety with hierarchical linear modeling (HLM) and classification and regression tree (CART) approaches. With a classification of time spent on homework into four related variables, this study found that, firstly, time spent on in-school homework during weekdays had positive effects on students’ achievement for both grades, and the positive effect was stronger for Grade 8 students than Grade 4 students. Moreover, a maximum of 1 h was recommended for Grade 4 students. Secondly, time spent on out-of-school homework on weekdays was negatively correlated with students’ academic achievement and positively with learning anxieties. It had greater detrimental effect on Grade 8 than Grade 4. Thirdly, Grade 8 students were encouraged to have more out-of-school homework on weekend with more than 2.8 h on average recommended. It was expected to complement extant studies and provide the practical findings for teachers, practitioners and school policy makers in making any homework assignment planning or conducting interventions.

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How Machine Learning Can Detect Social Anxiety Disorder? Using Connectivity and Graph Theory Measures Effectively!

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Social anxiety disorder (SAD) is a serious concern for medical practitioners worldwide. Identifying its severity level (severe, moderate, mild, or none) can be challenging, which is why this paper proposes a solution. The researchers developed a method that classifies SAD severity levels using the patterns of brain information flow and graphical network structures, analyzed via

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