Daria Smirnova

Dr. Daria Smirnova

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2017 in The Lancet Psychiatry
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Journal Article
Open access
PWPetr Winkler
Petr Winkler
DKDzmitry Krupchanka
Dzmitry Krupchanka
TRTessa Roberts
Tessa Roberts
LKLucie Kondratova
Lucie Kondratova
VMVendula Machů
Vendula Machů
GTGraham Thornicroft
Graham Thornicroft
Just over 25 years have passed since the major sociopolitical changes in central and eastern Europe; our aim was to map and analyse the development of mental health-care practice for people with severe mental illnesses in this region since then. A scoping review was complemented by an expert survey in 24 countries. Mental health-care practice in the region differs greatly across as well as within individual countries. National policies often exist but reforms remain mostly in the realm of aspiration. Services are predominantly based in psychiatric hospitals. Decision making on resource allocation is not transparent, and full economic evaluations of complex interventions and rigorous epidemiological studies are lacking. Stigma seems to be higher than in other European countries, but consideration of human rights and user involvement are increasing. The region has seen respectable development, which happened because of grassroots initiatives supported by international organisations, rather than by systematic implementation of government policies.

15 October 2021 in European Neuropsychopharmacology
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Journal Article
Closed access
Konstantinos N FountoulakisKonstantinos N Fountoulakis
Konstantinos N Fountoulakis
GKGrigorios Karakatsoulis
Grigorios Karakatsoulis
SASeri Abraham
Seri Abraham
KAKristina Adorjan
Kristina Adorjan
HAHelal Uddin Ahmed
Helal Uddin Ahmed
DSDaria Smirnova
Daria Smirnova

10 April 2018 in Frontiers in Psychiatry
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Journal Article
Open access
PDF file
DSDaria Smirnova
Daria Smirnova
PCPaul Cumming
Paul Cumming
ESElena Sloeva
Elena Sloeva
NKNatalia Kuvshinova
Natalia Kuvshinova
DRDmitry Romanov
Dmitry Romanov
GNGennadii Nosachev
Gennadii Nosachev
Objectives: Deviations from typical word use have been previously reported in clinical depression, but language patterns of mild depression (MD), as distinct from normal sadness (NS) and euthymic state, are unknown. In this study, we aimed to apply the linguistic approach as an additional diagnostic key for understanding clinical variability along the continuum of affective states. Methods: We studied 402 written reports from 124 Russian-speaking patients and 77 healthy controls (HC), including 35 cases of NS, using hand-coding procedures. The focus of our psycholinguistic methods was on lexico-semantic [e.g., rhetorical figures (metaphors, similes)], syntactic [e.g., predominant sentence type (single-clause and multi-clause)], and lexico-grammatical [e.g., pronouns (indefinite, personal)] variables. Statistical evaluations included Cohen’s kappa for inter-rater reliability measures, a non-parametric approach (Mann–Whitney U-test and Pearson chi-square test), one-way ANOVA for between-group differences, Spearman’s and point-biserial correlations to analyze relationships between linguistic and gender variables, discriminant analysis (Wilks’ λ) of linguistic variables in relation to the affective diagnostic types, all using SPSS-22 (significant, p < 0.05). Results: In MD, as compared with healthy individuals, written responses were longer, demonstrated descriptive rather than analytic style, showed signs of spoken and figurative language, single-clause sentences domination over multi-clause, atypical word order, increased use of personal and indefinite pronouns, and verb use in continuous/imperfective and past tenses. In NS, as compared with HC, we found greater use of lexical repetitions, omission of words, and verbs in continuous and present tenses. MD was significantly differentiated from NS and euthymic state by linguistic variables [98.6%; Wilks’ λ(40) = 0.009; p < 0.001; r = 0.992]. The highest predictors in discrimination between MD, NS, and euthymic state groups were the variables of word order (typical/atypical) (r = −0.405), ellipses (omission of words) (r = 0.583), colloquialisms (informal words/phrases) (r = 0.534), verb tense (past/present/future) (r = −0.460), verbs form (continuous/perfect) (r = 0.345), amount of reflexive (e.g., myself)/personal (r = 0.344), and negative (e.g., nobody)/indefinite (r = 0.451) pronouns. The most significant between-group differences were observed in MD as compared with both NS and euthymic state. Conclusion: MD is characterized by patterns of atypical language use distinguishing depression from NS and euthymic state, which points to a potential role of linguistic indicators in diagnosing affective states.

1 July 2022 in Psychiatry Research
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Journal Article
Closed access
Konstantinos N FountoulakisKonstantinos N Fountoulakis
Konstantinos N Fountoulakis
GKGrigorios N. Karakatsoulis
Grigorios N. Karakatsoulis
SASeri Abraham
Seri Abraham
KAKristina Adorjan
Kristina Adorjan
HAHelal Uddin Ahmed
Helal Uddin Ahmed
DSDaria Smirnova
Daria Smirnova

18 August 2022 in Biomedicines
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Journal Article
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EVElena Vaiman
Elena Vaiman
Natalia A. ShnayderNatalia A. Shnayder
Natalia A. Shnayder
Aiperi Kylychbekovna KhasanovaAiperi Kylychbekovna Khasanova
Aiperi Kylychbekovna Khasanova
ASAnna Igorevna Strelnik
Anna Igorevna Strelnik
AGArseny J. Gayduk
Arseny J. Gayduk
RNRegina F. Nasyrova
Regina F. Nasyrova
Among neurological adverse reactions in patients with schizophrenia treated with antipsychotics (APs), drug-induced parkinsonism (DIP) is the most common motility disorder caused by drugs affecting dopamine receptors. One of the causes of DIP is the disruption of neurotransmitter interactions that regulate the signaling pathways of the dopaminergic, cholinergic, GABAergic, adenosinergic, endocannabinoid, and other neurotransmitter systems. Presently, the development mechanisms remain poorly understood despite the presence of the considered theories of DIP pathogenesis.

3 March 2023 in Social Psychiatry and Psychiatric Epidemiology
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Konstantinos N FountoulakisKonstantinos N Fountoulakis
Konstantinos N Fountoulakis
GKGrigorios N. Karakatsoulis
Grigorios N. Karakatsoulis
SASeri Abraham
Seri Abraham
KAKristina Adorjan
Kristina Adorjan
HAHelal Uddin Ahmed
Helal Uddin Ahmed
DSDaria Smirnova
Daria Smirnova
Introduction The current study aimed to investigate the rates of anxiety, clinical depression, and suicidality and their changes in health professionals during the COVID-19 outbreak. Materials and methods The data came from the larger COMET-G study. The study sample includes 12,792 health professionals from 40 countries (62.40% women aged 39.76 ± 11.70; 36.81% men aged 35.91 ± 11.00 and 0.78% non-binary gender aged 35.15 ± 13.03). Distress and clinical depression were identified with the use of a previously developed cut-off and algorithm, respectively. Statistical analysis Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses, and Factorial Analysis of Variance (ANOVA) tested relations among variables. Results Clinical depression was detected in 13.16% with male doctors and ‘non-binary genders’ having the lowest rates (7.89 and 5.88% respectively) and ‘non-binary gender’ nurses and administrative staff had the highest (37.50%); distress was present in 15.19%. A significant percentage reported a deterioration in mental state, family dynamics, and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (24.64% vs. 9.62%; p < 0.0001). Suicidal tendencies were at least doubled in terms of RASS scores. Approximately one-third of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop clinical depression was associated with a history of Bipolar disorder (RR = 4.23). Conclusions The current study reported findings in health care professionals similar in magnitude and quality to those reported earlier in the general population although rates of clinical depression, suicidal tendencies, and adherence to conspiracy theories were much lower. However, the general model of factors interplay seems to be the same and this could be of practical utility since many of these factors are modifiable.