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1.
Int Rev Psychiatry ; 35(3-4): 331-338, 2023.
Article in English | MEDLINE | ID: mdl-37267033

ABSTRACT

Mental health needs of transgender people in Russia remain unmet and stigmatised as in many other countries around the globe. The aim of this study was to assess the stressors and perceived need for mental health care among transgender people in Russia. A structured online survey was conducted in November 2019. A total of 588 transgender adults (mean age: 24.0 ± 6.7) was included in the final analysis. An overwhelming majority of respondents (95.1%) reported stress in their lives. Financial burden (73.5%), relationships with relatives (59.4%), and intimate relationships (37.9%) were among the most frequently reported sources of stress. Most of respondents (71.8%) indicated that the psychological distress they perceived interfered with their ability to lead a fulfilling social life. More than half of the respondents (52.4%) had visited a mental health professional prior to their gender transition. Virtually half of them (49%) reported problems related to seeking mental healthcare attributed to stigma. Over one third (37.8%) reported taking non-prescription or off-label medications to improve their well-being or mood. Our study confirmed high rates of psychiatric problems in this vulnerable group and problems in help-seeking. The article also discusses the challenges of providing psychiatric care to transgender people in Russia.


Subject(s)
Transgender Persons , Adult , Humans , Adolescent , Young Adult , Transgender Persons/psychology , Mental Health , Cross-Sectional Studies , Minority Health , Social Stigma
2.
Consort Psychiatr ; 4(3): 33-42, 2023 Sep 29.
Article in English | MEDLINE | ID: mdl-38249533

ABSTRACT

BACKGROUND: Computational psychiatry is an area of scientific knowledge which lies at the intersection of neuroscience, psychiatry, and computer science. It employs mathematical models and computational simulations to shed light on the complexities inherent to mental disorders. AIM: The aim of this narrative review is to offer insight into the current landscape of computational psychiatry, to discuss its significant challenges, as well as the potential opportunities for the fields growth. METHODS: The authors have carried out a narrative review of the scientific literature published on the topic of computational psychiatry. The literature search was performed in the PubMed, eLibrary, PsycINFO, and Google Scholar databases. A descriptive analysis was used to summarize the published information on the theoretical and practical aspects of computational psychiatry. RESULTS: The article relates the development of the scientific approach in computational psychiatry since the mid-1980s. The data on the practical application of computational psychiatry in modeling psychiatric disorders and explaining the mechanisms of how psychopathological symptomatology develops (in schizophrenia, attention-deficit/hyperactivity disorder, autism spectrum disorder, anxiety disorders, obsessive-compulsive disorder, substance use disorders) are summarized. Challenges, limitations, and the prospects of computational psychiatry are discussed. CONCLUSION: The capacity of current computational technologies in psychiatry has reached a stage where its integration into psychiatric practice is not just feasible but urgently needed. The hurdles that now need to be addressed are no longer rooted in technological advancement, but in ethics, education, and understanding.

3.
LGBT Health ; 8(6): 412-419, 2021.
Article in English | MEDLINE | ID: mdl-34283658

ABSTRACT

Purpose: As we still do not know enough about the mental health concerns of gender minority people in Russia, there is a need to initiate research on these issues. We aimed to examine the frequency of anxiety and depression symptoms in a Russian sample of transgender people. Methods: The study consisted of a structured online survey and was conducted throughout November 2019. The Hospital Anxiety and Depression Scale was used for online screening of anxiety and depression symptoms. A total of 588 transgender adults living in all Federal Districts of Russia (mean age 24.0 ± standard deviation 6.7) was included in the final analysis. Results: It was found that 45.1% (n = 265) and 24.0% (n = 141) of transgender people had clinically significant levels of anxiety and depression, respectively. No statistically significant differences in the prevalence of anxiety and depression were found among those who identified as a transgender man, a transgender woman, or other transgender identities. The anxiety and depression mean scores in the sample were statistically significantly higher than in the general Russian population (p < 0.001). No statistically significant differences were found in the level of depression and anxiety symptoms among respondents in Moscow, St. Petersburg, and other Russian cities. Conclusions: We found high rates of clinical symptoms of depression and anxiety among transgender people, consistent with international research. The study highlights the need for further research on the psychological well-being and mental health of transgender people, and the availability of psychiatric care to transgender people living in Russia.


Subject(s)
Anxiety/epidemiology , Depression/epidemiology , Transgender Persons/psychology , Adolescent , Adult , Cross-Sectional Studies , Female , Health Surveys , Humans , Internet , Male , Middle Aged , Russia/epidemiology , Transgender Persons/statistics & numerical data , Young Adult
4.
Pharmacogenomics ; 21(2): 111-123, 2020 01.
Article in English | MEDLINE | ID: mdl-31957548

ABSTRACT

Introduction: Phenazepam therapy can often be ineffective and some patients develop dose-related adverse drug reactions. Aim. The purpose of this research was to study the effect of the CYP2C19*2 (681G>A, rs4244285) in patients with anxiety disorders and alcohol dependence taking phenazepam therapy. Materials & methods: Patients (175 males, average age: 37.16 ± 7.84 years) received phenazepam in tablet form for 5 days. Genotyping was performed by real-time polymerase chain reaction. Results: The statistically significant differences in the UKU Side-Effect Rating Scale scores on the fifth day of therapy: (CYP2C19*1/*1) 2.00 [1.00; 2.00), (CYP2C19*1/*2) 7.00 (7.00; 7.00), (CYP2C19*2/*2) 9.00 (8.00; 9.00), p < 0.001. Conclusion: This study demonstrated the different efficacy and safety of phenazepam in patients with different genotypes of CYP2C19*2.


Subject(s)
Alcoholism/genetics , Anxiety Disorders/drug therapy , Benzodiazepines/administration & dosage , Cytochrome P-450 CYP2C19/genetics , Adult , Alcoholism/pathology , Anti-Anxiety Agents/administration & dosage , Anti-Anxiety Agents/adverse effects , Anxiety Disorders/genetics , Anxiety Disorders/pathology , Benzodiazepines/adverse effects , Female , Genotype , Humans , Male
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