Browsing by Author "Kulig, Barbara"
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Item Results of the COVID-19 mental health international for the general population (COMET-G) study(2022-01) Fountoulakis, Konstantinos N.; Karakatsoulis, Grigorios; Abraham, Seri; Adorjan, Kristina; Ahmed, Helal Uddin; Alarcón, Renato D.; Arai, Kiyomi; Auwal, Sani Salihu; Berk, Michael; Bjedov, Sarah; Bobes, Julio; Bobes-Bascaran, Teresa; Bourgin-Duchesnay, Julie; Bredicean, Cristina Ana; Bukelskis, Laurynas; Burkadze, Akaki; Abud, Indira Indiana Cabrera; Castilla-Puentes, Ruby; Cetkovich, Marcelo; Colon-Rivera, Hector; Corral, Ricardo; Cortez-Vergara, Carla; Crepin, Piirika; De Berardis, Domenico; Zamora Delgado, Sergio; De Lucena, David; De Sousa, Avinash; Stefano, Ramona Di; Dodd, Seetal; Elek, Livia Priyanka; Elissa, Anna; Erdelyi-Hamza, Berta; Erzin, Gamze; Etchevers, Martin J.; Falkai, Peter; Farcas, Adriana; Fedotov, Ilya; Filatova, Viktoriia; Fountoulakis, Nikolaos K.; Frankova, Iryna; Franza, Francesco; Frias, Pedro; Galako, Tatiana; Garay, Cristian J.; Garcia-Álvarez, Leticia; García-Portilla, Maria Paz; Gonda, Xenia; Gondek, Tomasz M.; González, Daniela Morera; Gould, Hilary; Grandinetti, Paolo; Grau, Arturo; Groudeva, Violeta; Hagin, Michal; Harada, Takayuki; Hasan, Tasdik M.; Hashim, Nurul Azreen; Hilbig, Jan; Hossain, Sahadat; Iakimova, Rossitza; Ibrahim, Mona; Iftene, Felicia; Ignatenko, Yulia; Irarrazaval, Matias; Ismail, Zaliha; Ismayilova, Jamila; Jakobs, Asaf; Jakovljević, Miro; Jakšić, Nenad; Javed, Afzal; Kafali, Helin Yilmaz; Karia, Sagar; Kazakova, Olga; Khalifa, Doaa; Khaustova, Olena; Koh, Steve; Kopishinskaia, Svetlana; Kosenko, Korneliia; Koupidis, Sotirios A.; Kovacs, Illes; Kulig, Barbara; Lalljee, Alisha; Liewig, Justine; Majid, Abdul; Malashonkova, Evgeniia; Malik, Khamelia; Malik, Najma Iqbal; Mammadzada, Gulay; Mandalia, Bilvesh; Marazziti, Donatella; Marčinko, Darko; Martinez, Stephanie; Matiekus, Eimantas; Mejia, Gabriela; Memon, Roha Saeed; Martínez, Xarah Elenne Meza; Mickevičiūtė, Dalia; Milev, Roumen; Mohammed, Muftau; Molina-López, Alejandro; Morozov, Petr; Muhammad, Nuru Suleiman; Mustač, Filip; Naor, Mika S.; Nassieb, Amira; Navickas, Alvydas; Okasha, Tarek; Pandova, Milena; Panfil, Anca Livia; Panteleeva, Liliya; Papava, Ion; Patsali, Mikaella E.; Pavlichenko, Alexey; Pejuskovic, Bojana; Pinto Da Costa, Mariana; Popkov, Mikhail; Popovic, Dina; Raduan, Nor Jannah Nasution; Ramírez, Francisca Vargas; Rancans, Elmars; Razali, Salmi; Rebok, Federico; Rewekant, Anna; Flores, Elena Ninoska Reyes; Rivera-Encinas, María Teresa; Saiz, Pilar; de Carmona, Manuel Sánchez; Martínez, David Saucedo; Saw, Jo Anne; Saygili, Görkem; Schneidereit, Patricia; Shah, Bhumika; Shirasaka, Tomohiro; Silagadze, Ketevan; Sitanggang, Satti; Skugarevsky, Oleg; Spikina, Anna; Mahalingappa, Sridevi Sira; Stoyanova, Maria; Szczegielniak, Anna; Tamasan, Simona Claudia; Tavormina, Giuseppe; Tavormina, Maurilio Giuseppe Maria; Theodorakis, Pavlos N.; Tohen, Mauricio; Tsapakis, Eva Maria; Tukhvatullina, Dina; Ullah, Irfan; Vaidya, Ratnaraj; Vega-Dienstmaier, Johann M.; Vrublevska, Jelena; Vukovic, Olivera; Vysotska, Olga; Widiasih, Natalia; Yashikhina, Anna; Prezerakos, Panagiotis E.; Smirnova, Daria; Department of Psychiatry and Narcology; Institute of Public HealthIntroduction: There are few published empirical data on the effects of COVID‐19 on mental health, and until now, there is no large international study. Material and methods: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable 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: Probable depression was detected in 17.80% and distress in 16.71%. 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 (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed. Conclusions: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.Item Results of the COVID-19 mental health international for the health professionals (COMET-HP) study : depression, suicidal tendencies and conspiracism(2023-09) N Fountoulakis, Konstantinos; N Karakatsoulis, Grigorios; Abraham, Seri; Adorjan, Kristina; Ahmed, Helal Uddin; Alarcón, Renato D; Arai, Kiyomi; Auwal, Sani Salihu; Bobes, Julio; Bobes-Bascaran, Teresa; Bourgin-Duchesnay, Julie; Bredicean, Cristina Ana; Bukelskis, Laurynas; Burkadze, Akaki; Cabrera Abud, Indira Indiana; Castilla-Puentes, Ruby; Cetkovich, Marcelo; Colon-Rivera, Hector; Corral, Ricardo; Cortez-Vergara, Carla; Crepin, Piirika; de Berardis, Domenico; Zamora Delgado, Sergio; de Lucena, David; de Sousa, Avinash; di Stefano, Ramona; Dodd, Seetal; Elek, Livia Priyanka; Elissa, Anna; Erdelyi-Hamza, Berta; Erzin, Gamze; Etchevers, Martin J; Falkai, Peter; Farcas, Adriana; Fedotov, Ilya; Filatova, Viktoriia; Fountoulakis, Nikolaos K; Frankova, Iryna; Franza, Francesco; Frias, Pedro; Galako, Tatiana; Garay, Cristian J; Garcia-Álvarez, Leticia; García-Portilla, Paz; Gonda, Xenia; Gondek, Tomasz M; Morera González, Daniela; Gould, Hilary; Grandinetti, Paolo; Grau, Arturo; Groudeva, Violeta; Hagin, Michal; Harada, Takayuki; Hasan, Tasdik M; Azreen Hashim, Nurul; Hilbig, Jan; Hossain, Sahadat; Iakimova, Rossitza; Ibrahim, Mona; Iftene, Felicia; Ignatenko, Yulia; Irarrazaval, Matias; Ismail, Zaliha; Ismayilova, Jamila; Jacobs, Asaf; Jakovljević, Miro; Jakšić, Nenad; Javed, Afzal; Yilmaz Kafali, Helin; Karia, Sagar; Kazakova, Olga; Khalifa, Doaa; Khaustova, Olena; Koh, Steve; Kopishinskaia, Svetlana; Kosenko, Korneliia; Koupidis, Sotirios A; Kovacs, Illes; Kulig, Barbara; Lalljee, Alisha; Liewig, Justine; Majid, Abdul; Malashonkova, Evgeniia; Malik, Khamelia; Iqbal Malik, Najma; Mammadzada, Gulay; Mandalia, Bilvesh; Marazziti, Donatella; Marčinko, Darko; Martinez, Stephanie; Matiekus, Eimantas; Mejia, Gabriela; Memon, Roha Saeed; Meza Martínez, Xarah Elenne; Mickevičiūtė, Dalia; Milev, Roumen; Mohammed, Muftau; Molina-López, Alejandro; Morozov, Petr; Muhammad, Nuru Suleiman; Mustač, Filip; Naor, Mika S; Nassieb, Amira; Navickas, Alvydas; Okasha, Tarek; Pandova, Milena; Panfil, Anca-Livia; Panteleeva, Liliya; Papava, Ion; Patsali, Mikaella E; Pavlichenko, Alexey; Pejuskovic, Bojana; Pinto da Costa, Mariana; Popkov, Mikhail; Popovic, Dina; Raduan, Nor Jannah Nasution; Vargas Ramírez, Francisca; Rancans, Elmars; Razali, Salmi; Rebok, Federico; Rewekant, Anna; Reyes Flores, Elena Ninoska; Rivera-Encinas, María Teresa; Saiz, Pilar A; Sánchez de Carmona, Manuel; Saucedo Martínez, David; Saw, Jo Anne; Saygili, Görkem; Schneidereit, Patricia; Shah, Bhumika; Shirasaka, Tomohiro; Silagadze, Ketevan; Sitanggang, Satti; Skugarevsky, Oleg; Spikina, Anna; Mahalingappa, Sridevi Sira; Stoyanova, Maria; Szczegielniak, Anna; Tamasan, Simona Claudia; Tavormina, Giuseppe; Tavormina, Maurilio Giuseppe Maria; Theodorakis, Pavlos N; Tohen, Mauricio; Tsapakis, Eva-Maria; Tukhvatullina, Dina; Ullah, Irfan; Vaidya, Ratnaraj; Vega-Dienstmaier, Johann M; Vrublevska, Jelena; Vukovic, Olivera; Vysotska, Olga; Widiasih, Natalia; Yashikhina, Anna; Prezerakos, Panagiotis E; Berk, Michael; Levaj, Sarah; Smirnova, Daria; Department of Psychiatry and NarcologyIntroduction: 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.Item Students' mental health during the pandemic : results of the observational cross-sectional COVID-19 MEntal health inTernational for university Students (COMET-S) study(2023) Fountoulakis, Konstantinos N.; Alias, Nor Aziah; Bjedov, Sarah; Fountoulakis, Nikolaos K.; Gonda, Xenia; Hilbig, Jan; Jakovljević, Miro; Kulig, Barbara; Mahale, Girija; Manafis, Alexandros; Mohammed, Muftau; Nadareishvili, Ilia; Navickas, Alvydas; Patsali, Mikaella E.; Pavlichenko, Alexey; Pilaga, Sindija Mairita; Razali, Salmi; Romanov, Dmitry; Rossitza, Iakimova; Salihu, Auwal Sani; Sinauridze, Ana; Stoyanova, Maria; Thosar, Ketaki; Vorobjova, Julija; Vrublevska, Jelena; Rancans, Elmars; Javed, Afzal; Theodorakis, Pavlos N.; Breda, Joao; Smirnova, Daria; Department of Psychiatry and Narcology; Institute of Public HealthIntroduction: The aim of the study was to search rates of depression and mental health in university students, during the COVID-19 pandemic. Materials and methods: This is an observational cross-sectional study. A protocol gathering sociodemographic variables as well as depression, anxiety and suicidality and conspiracism was assembled, and data were collected anonymously and online from April 2020 through March 2021. The sample included 12,488 subjects from 11 countries, of whom 9,026 were females (72.2%; aged 21.11 ± 2.53), 3,329 males (26.65%; aged 21.61 ± 2.81) and 133 “non-binary gender” (1.06%; aged 21.02 ± 2.98). The analysis included chi-square tests, correlation analysis, ANCOVA, multiple forward stepwise linear regression analysis and Relative Risk ratios. Results: Dysphoria was present in 15.66% and probable depression in 25.81% of the total study sample. More than half reported increase in anxiety and depression and 6.34% in suicidality, while lifestyle changes were significant. The model developed explained 18.4% of the development of depression. Believing in conspiracy theories manifested a complex effect. Close to 25% was believing that the vaccines include a chip and almost 40% suggested that facemask wearing could be a method of socio-political control. Conspiracism was related to current depression but not to history of mental disorders. Discussion: The current study reports that students are at high risk for depression during the COVID-19 pandemic and identified specific risk factors. It also suggested a role of believing in conspiracy theories. Further research is important, as it is targeted intervention in students' groups that are vulnerable both concerning mental health and conspiracism.