Both general medical and mental health services were disrupted during the pandemic. It is unclear how these disruptions played out for people with various mental health diagnoses. We compared change in mental health status and use of mental health services between four psychiatric groups: schizophrenia spectrum disorders, bipolar disorder, unipolar depression, and anxiety/obsessive-compulsive disorder (OCD).

The aim of this study was to examine the relationship of sharenting with variables that are theoretically related with the concept. Sharenting includes the basic motivation to share parental practices with others and can be associated with social comparison and parental selfefficacy. In this context, we hypothesized that the social comparison could be a mediating variable between parental self-efficacy and sharing.

The classification of sexual health-related conditions was reformulated in 11th revision of International Classification of Diseases (ICD-11) following current evidence, best practice, and taking human rights into consideration, which is expected to reflect and provide guidance for more integrative clinical approaches. Overcoming the artificial, yet historical, distinction between "organic" and "non-organic" conditions, sexual dysfunctions classified in the "Mental and Behavioral Disorders" and "Disorders of Genitourinary System" in ICD-10 were listed in a new chapter called "Conditions Related to Sexual Health." In practice, this approach has been consistently recommended. However, diagnostical clasification was not congruent with the recommendation. Dysfunctions, defined with a non-normative but individual-based threshold, are categorized according to different stages of the sexual response cycle, similar to ICD-10 and Diagnostic and Statistical Manual of Mental Disorders 5th version (DSM-5). However, similarities and distinctions in the clinical presentation of the dysfunction in men and women were also considered, resulting in differences from the DSM-5 approach. Gender Incongruence is classified in this newly formed "Conditions Related to Sexual Health" chapter, not with mental disorders as in the earlier version, reflecting the current non-pathologizing understanding of gender diversity. Furthermore, the criteria for these conditions were revised to embrace the variability in the experience of gender identity. In addition, the residuals of sexual orientation-related diagnostic categories were removed. Paraphilic disorders categories replaced "Disorders of sexual preference" in ICD-10, with significant modifications in conceptualization and classification.

Affective lability, which is an important aspect of mood dysregulation, is seen in many psychiatric conditions. The aim of this study is to examine the psychometric properties of the Affective Lability Scale-18 in the Turkish sample of the non-clinical group.

This study aims to examine the relationship between university students' difficulties regulating emotions and their tendency to gamble.

The COVID-19 pandemic may be considered as a shared source of uncertainty. Prolonged engagement with social media regarding this uncertainty could present as a risk factor for anxiety. We sought to investigate the relationship between intolerance of uncertainty, dimensions of resilience, uncertainty source (pandemic)-related social media use, and the risk of anxiety and depression in patients with cancer.

This study was conducted to investigate the role of two candidate polymorphisms to improve the diagnosis of Post-Traumatic StressDisorder (PTSD) in forensic psychiatry settings.

Neuroleptic Malignant Syndrome (NMS) is an idiosyncratic and potentially life-threatening drug reaction. Although uncommon, NMS cases induced by oral quetiapine have been reported. Most reports have predisposing risk factors such as an organic brain disorder, concomitant use of other antipsychotics or lithium, overdose or rapid titration. NMS with low doses of quetiapine is a much rarer clinical picture. Venlafaxine is commonly associated with withdrawal upon discontinuation sometimes as soon as the next day. In this case report, a 40-year-old man treated with venlafaxine for generalized anxiety disorder with symptoms of full-blown NMS after venlafaxine withdrawal, induced by low-dose quetiapine (50 mg), is presented. In accordance with the previous reports, we speculate that venlafaxine withdrawal was a predisposing factor in our case however we also discussed other possible explanations for NMS. Acknowledging the risk of NMS, even with low doses of quetiapine in patients devoid of known risk factors, is of paramount importance for prompt diagnosis and mitigating morbidity and mortality. To our knowledge, this is the first case of NMS with such a low dose of quetiapine without any other known risk factors or substances. Keywords: Antipsychotics, NMS, Quetiapine, Venlafaxine, Consultation Liaison Psychiatry.

We investigated the prevalence and distribution of depressive symptoms in individuals aged 15 and older, as well as the relationship between depressive symptoms and sociodemographic characteristics, chronic diseases, health status and health behaviors.

No abstract available.

Mental disorders are a critical global public health problem due to their increasing prevalence, rising costs, and significant economic burden. Despite efforts to increase the mental health workforce in Türkiye, there is a significant shortage of psychiatrists, limiting the quality and accessibility of mental health services. This review examines the potential of artificial intelligence (AI), especially large language models, to transform psychiatric care in the world and in Türkiye. AI technologies, including machine learning and deep learning, offer innovative solutions for the diagnosis, personalization of treatment, and monitoring of mental disorders using a variety of data sources, such as speech patterns, neuroimaging, and behavioral measures. Although AI has shown promising capabilities in improving diagnostic accuracy and access to mental health services, challenges such as algorithmic biases, data privacy concerns, ethical implications, and the confabulation phenomenon of large language models prevent the full implementation of AI in practice. The review highlights the need for interdisciplinary collaboration to develop culturally and linguistically adapted AI tools, particularly in the Turkish context, and suggests strategies such as fine-tuning, retrieval-augmented generation, and reinforcement learning from human feedback to increase AI reliability. Advances suggest that AI can improve mental health care by increasing diagnostic accuracy and accessibility while preserving the essential human elements of medical care. Current limitations need to be addressed through rigorous research and ethical frameworks for effective and equitable integration of AI into mental health care. Keywords: Artificial İntelligence, Health, Large Language Model, Machine Learning, Psychiatry.

This study aimed to validate the Turkish version of the Behavioral and Psychological Symptoms of Dementia Knowledge Scale (BPSD-T) among caregivers. The goal was to assess the scale's psychometric properties, ensuring it accurately measures caregivers' knowledge of dementia-related behavioral and psychological symptoms in a Turkish context.

The aim of this study was to adapt the "Affiliated Stigma Scale" to Turkish for caregivers of people with dementia and determine its psychometric properties. The scale measures the affiliated stigma experienced by caregivers of people with dementia.

This study aims to asess alexithymia, anger and its expression, sensitivity to bodily sensations, personality, and their relationship with the severity of the disease in patients with Restless Legs Syndrome.

The content shared on social media may cause secondary traumatic stress (STS) symptoms. The aim of this study is to evaluate the severity of social media related STS and the associated factors in university students who were not directly affected by the February 2023 earthquakes.