TY - JOUR AU - Őri, Dorottya AU - Vass, Edit AU - Vajsz, Kornél AU - Vincze, Katalin AU - Sztancsik, Veronika AU - Szemán-Nagy, Anita AU - Simon, Lajos TI - Psychometric validation of the Reported and Intended Behaviour Scale (RIBS) in Hungary with a particular focus on ‘Don’t know’ responses and further scoring recommendations JF - BMC PUBLIC HEALTH J2 - BMC PUBLIC HEALTH VL - 23 PY - 2023 IS - 1 PG - 12 SN - 1471-2458 DO - 10.1186/s12889-023-16707-3 UR - https://m2.mtmt.hu/api/publication/34150704 ID - 34150704 LA - English DB - MTMT ER - TY - JOUR AU - Vass, Edit AU - Simon, Viktória AU - Csukly, Gábor AU - Kis, Balázs AU - Zsigmond, Réka Ildikó AU - Hermán, Levente AU - Simon, Lajos TI - The complexity of theory of mind deficit in schizophrenia. A cross-sectional analysis of baseline data from a longitudinal schizophrenia study TS - A cross-sectional analysis of baseline data from a longitudinal schizophrenia study JF - ACTA PSYCHOLOGICA J2 - ACTA PSYCHOL VL - 233 PY - 2023 PG - 9 SN - 0001-6918 DO - 10.1016/j.actpsy.2023.103842 UR - https://m2.mtmt.hu/api/publication/33606225 ID - 33606225 N1 - Semmelweis University, Faculty of Health, Department of Psychiatry and Psychotherapy, Budapest, Hungary National Institute of Mental Health, Neurology and Neurosurgery-Nyírő Gyula Hospital, Budapest, Hungary Szabolcs-Szatmár-Bereg County Hospital and University Teaching Hospitals, Department of Psychiatry, Nyíregyháza, Hungary Export Date: 15 November 2023 CODEN: APSOA Correspondence Address: Vass, E.H1086 Balassa str. 6, Hungary; email: vass.edit@semmelweis.hu AB - A large number of trials have supported the functional significance of Theory of Mind (ToM) impairment in schizophrenia. However, the nature and the extent of the impairment are still unclear. Reviews on the topic suggest that, in many cases, studies use only one tool to assess the levels of difficulty in the field, limiting the validity of the measurement to one aspect of ToM. On the other hand, the divergence of the used assessment tools makes it hard to compare the result of these studies. Thus, we decided to use additional assessment tools to evaluate the extent of ToM in order to describe several aspects of the phenomenon. A hierarchical cluster analysis of variables was used on a sample of 68 participants with schizophrenia or schizoaffective disorder, to determine the similarity between variances of the assessed ToM subcomponents. Further cross-sectional correlational analysis was then performed to investigate the association between the identified clusters and other used measures (e.g.: neurocognition). The statistical analysis supported a five-cluster model. Identified clusters illustrate the difference between Hypo and HyperToM as well as the degree of ToM task complexity, allowing for a more accurate description of the nature of ToM deficit in schizophrenia. LA - English DB - MTMT ER - TY - JOUR AU - Vass, Edit AU - Simon, Viktória AU - Csukly, Gábor AU - Fekete, Zita AU - Kis, Balázs AU - Simon, Lajos TI - Virtual reality-based theory of mind intervention in schizophrenia: Preliminary efficacy results JF - COMPREHENSIVE PSYCHIATRY J2 - COMPR PSYCHIAT VL - 119 PY - 2022 PG - 10 SN - 0010-440X DO - 10.1016/j.comppsych.2022.152350 UR - https://m2.mtmt.hu/api/publication/33157158 ID - 33157158 N1 - Semmelweis University, Faculty of Medicine, Department of Psychiatry and Psychotherapy, 1082 Balassa str 6, Budapest, Hungary University of Debrecen, Institute of Behavioral Sciences, 22 Móricz Zsigmond körút, Debrecen, 4032, Hungary Szabolcs-Szatmar-Bereg County Hospital and University Teaching Hospital, Department of Psychiatry, 68 Szent István street, Nyíregyháza, 4400, Hungary Export Date: 25 May 2023 CODEN: COPYA Correspondence Address: Vass, E.1082 Balassa str 6, Hungary; email: vass.edit@med.semmelweis-univ.hu Tradenames: Samsung S7, Samsung; Samsung S8, Samsung Manufacturers: Samsung LA - English DB - MTMT ER - TY - GEN AU - Vass, Edit AU - Zsély, A AU - Sztancsik, Veronika AU - Szemán-Nagy, Anita AU - Őri, Dorottya AU - Vajsz, Kornél AU - Horváth, M AU - Vincze, K AU - Yang, Zijian G AU - Simon, Lajos TI - Mentális betegséggel élők önstigmatizációja PY - 2022 UR - https://m2.mtmt.hu/api/publication/33118672 ID - 33118672 LA - Hungarian DB - MTMT ER - TY - GEN AU - Vass, Edit AU - Zsély, A AU - Sztancsik, Veronika AU - Szemán-Nagy, Anita AU - Őri, Dorottya AU - Vajsz, Kornél AU - Horváth, M AU - Vincze, K AU - Yang, Zijian G AU - Simon, Lajos TI - A média szerepe a mentális zavarokat övező stigmatizáció fenntartásában: Szentimentanalízis PY - 2022 UR - https://m2.mtmt.hu/api/publication/33118669 ID - 33118669 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Hajduska-Dér, Bálint AU - Kiss, Gábor AU - Sztahó, Dávid AU - Vicsi, Klára AU - Simon, Lajos TI - The applicability of the Beck Depression Inventory and Hamilton Depression Scale in the automatic recognition of depression based on speech signal processing JF - FRONTIERS IN PSYCHIATRY J2 - FRONT PSYCHIATRY VL - 13 PY - 2022 PG - 12 SN - 1664-0640 DO - 10.3389/fpsyt.2022.879896 UR - https://m2.mtmt.hu/api/publication/33057970 ID - 33057970 N1 - Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary Export Date: 13 September 2022 Correspondence Address: Hajduska-Dér, B.; Department of Psychiatry and Psychotherapy, Hungary; email: hajduska-der.balint@semmelweis.hu AB - Depression is a growing problem worldwide, impacting on an increasing number of patients, and also affecting health systems and the global economy. The most common diagnostical rating scales of depression are self-reported or clinician-administered, which differ in the symptoms that they are sampling. Speech is a promising biomarker in the diagnostical assessment of depression, due to non-invasiveness and cost and time efficiency. In our study, we try to achieve a more accurate, sensitive model for determining depression based on speech processing. Regression and classification models were also developed using a machine learning method. During the research, we had access to a large speech database that includes speech samples from depressed and healthy subjects. The database contains the Beck Depression Inventory (BDI) score of each subject and the Hamilton Rating Scale for Depression (HAMD) score of 20% of the subjects. This fact provided an opportunity to compare the usefulness of BDI and HAMD for training models of automatic recognition of depression based on speech signal processing. We found that the estimated values of the acoustic model trained on BDI scores are closer to HAMD assessment than to the BDI scores, and the partial application of HAMD scores instead of BDI scores in training improves the accuracy of automatic recognition of depression. LA - English DB - MTMT ER - TY - JOUR AU - Vass, Edit AU - Csukly, Gábor AU - Simon, Lajos TI - Mitől lesz valaki troll? A trollkodás pszichológiája: Szisztematikus irodalmi áttekintés JF - PSYCHIATRIA HUNGARICA J2 - PSYCHIATRIA HUNG VL - 37 PY - 2022 IS - 1 SP - 13 EP - 28 PG - 16 SN - 0237-7896 UR - https://m2.mtmt.hu/api/publication/32754471 ID - 32754471 N1 - Ellenőrizve teljes szöveg alapján GT AB - The World Wide Web along with online social media has significantly changed the dynamics of communication. Information is easier and faster to access, but at the same time the relevance of the content often remains questionable, often confronting users with half-truths and untruths. Information consumption patterns have also changed a lot, allowing more room for the emergence of deviant, provocative behaviors through anonymity. The latter form of behavior can have different effects depending on its intensity and content, including, the polarization of opinions or the negative influence on users 'psychological wellbeing'. In our current article the literature on the pheno menon known as trolling in Internet slang was reviewed in order to better understand its nature and its possible effects.Our systematic literature review was based on a computer search of the PubMed and ScienceDirect databases framed by the PRISMA guideline. The following keywords were used: "Internet" OR "Facebook" OR "Twitter" OR "Instagram" AND "troll" OR "trolling".Based on the mentioned methon, a total number of 4575 articles were identified. Based on the inclusion and exclusion criteria 24 articles were included in the final sample. The results and experiences of the published papers were presented according to the subgroups formed on the basis of the purpose of the studies.Included articles focused primarily on understanding the motivation of trolling behavior and their impact on online behavior. However, the possible impact of trolls on individuals was left out of focus, leaving many open questions behind. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Simon, Lajos AU - Pénzváltó, T. AU - Vass, Edit TI - Virtuális valóság a pszichiátriában és a pszichoterápiában JF - PSYCHIATRIA HUNGARICA J2 - PSYCHIATRIA HUNG VL - 36 PY - 2021 IS - 3 SP - 336 EP - 350 PG - 15 SN - 0237-7896 UR - https://m2.mtmt.hu/api/publication/32575720 ID - 32575720 N1 - Ellenőrizve a teljes szöveg alapján GT LA - Hungarian DB - MTMT ER - TY - CHAP AU - Simon, Lajos ED - Németh, A ED - Füredi, János ED - Lazáry, Judit ED - Somlai, Zs TI - A nemi identitás zavarai T2 - A pszichiátria magyar kézikönyve PB - Medicina Könyvkiadó CY - Budapest SN - 9789632267715 PY - 2021 SP - 370 EP - 376 PG - 7 UR - https://m2.mtmt.hu/api/publication/32459048 ID - 32459048 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Vajsz, Kornél AU - Horváth, Márton AU - Simon, Lajos AU - Vass, Edit AU - Sztancsik, Veronika TI - Stigmatizáció és időskori mentális betegségek JF - ESÉLY: TÁRSADALOM ÉS SZOCIÁLPOLITIKAI FOLYÓIRAT J2 - ESÉLY VL - 32 PY - 2021 IS - 1 SP - 3 EP - 19 PG - 17 SN - 0865-0810 UR - https://m2.mtmt.hu/api/publication/32118681 ID - 32118681 LA - Hungarian DB - MTMT ER -