Abstract
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.
Original language | English |
---|---|
Pages (from-to) | 1387-1410 |
Number of pages | 24 |
Journal | Social Psychiatry and Psychiatric Epidemiology |
Volume | 58 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 2023 |
Keywords
- Anxiety
- Conspiracy theories
- COVID-19
- Depression
- Health professionals
- Mental disorders
- Mental health
- Psychiatry
- Suicidality
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In: Social Psychiatry and Psychiatric Epidemiology, Vol. 58, No. 9, 09.2023, p. 1387-1410.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Results of the COVID-19 mental health international for the health professionals (COMET-HP) study
T2 - depression, suicidal tendencies and conspiracism
AU - N. Fountoulakis, Konstantinos
AU - N. Karakatsoulis, Grigorios
AU - Abraham, Seri
AU - Adorjan, Kristina
AU - Ahmed, Helal Uddin
AU - Alarcón, Renato D.
AU - Arai, Kiyomi
AU - Auwal, Sani Salihu
AU - Bobes, Julio
AU - Bobes-Bascaran, Teresa
AU - Bourgin-Duchesnay, Julie
AU - Bredicean, Cristina Ana
AU - Bukelskis, Laurynas
AU - Burkadze, Akaki
AU - Cabrera Abud, Indira Indiana
AU - Castilla-Puentes, Ruby
AU - Cetkovich, Marcelo
AU - Colon-Rivera, Hector
AU - Corral, Ricardo
AU - Cortez-Vergara, Carla
AU - Crepin, Piirika
AU - de Berardis, Domenico
AU - Zamora Delgado, Sergio
AU - de Lucena, David
AU - de Sousa, Avinash
AU - di Stefano, Ramona
AU - Dodd, Seetal
AU - Elek, Livia Priyanka
AU - Elissa, Anna
AU - Erdelyi-Hamza, Berta
AU - Erzin, Gamze
AU - Etchevers, Martin J.
AU - Falkai, Peter
AU - Farcas, Adriana
AU - Fedotov, Ilya
AU - Filatova, Viktoriia
AU - Fountoulakis, Nikolaos K.
AU - Frankova, Iryna
AU - Franza, Francesco
AU - Frias, Pedro
AU - Galako, Tatiana
AU - Garay, Cristian J.
AU - Garcia-Álvarez, Leticia
AU - García-Portilla, Paz
AU - Gonda, Xenia
AU - Gondek, Tomasz M.
AU - Morera González, Daniela
AU - Gould, Hilary
AU - Grandinetti, Paolo
AU - Grau, Arturo
AU - Groudeva, Violeta
AU - Hagin, Michal
AU - Harada, Takayuki
AU - Hasan, Tasdik M.
AU - Azreen Hashim, Nurul
AU - Hilbig, Jan
AU - Hossain, Sahadat
AU - Iakimova, Rossitza
AU - Ibrahim, Mona
AU - Iftene, Felicia
AU - Ignatenko, Yulia
AU - Irarrazaval, Matias
AU - Ismail, Zaliha
AU - Ismayilova, Jamila
AU - Jacobs, Asaf
AU - Jakovljević, Miro
AU - Jakšić, Nenad
AU - Javed, Afzal
AU - Yilmaz Kafali, Helin
AU - Karia, Sagar
AU - Kazakova, Olga
AU - Khalifa, Doaa
AU - Khaustova, Olena
AU - Koh, Steve
AU - Kopishinskaia, Svetlana
AU - Kosenko, Korneliia
AU - Koupidis, Sotirios A.
AU - Kovacs, Illes
AU - Kulig, Barbara
AU - Lalljee, Alisha
AU - Liewig, Justine
AU - Majid, Abdul
AU - Malashonkova, Evgeniia
AU - Malik, Khamelia
AU - Iqbal Malik, Najma
AU - Mammadzada, Gulay
AU - Mandalia, Bilvesh
AU - Marazziti, Donatella
AU - Marčinko, Darko
AU - Martinez, Stephanie
AU - Matiekus, Eimantas
AU - Mejia, Gabriela
AU - Memon, Roha Saeed
AU - Meza Martínez, Xarah Elenne
AU - Mickevičiūtė, Dalia
AU - Milev, Roumen
AU - Mohammed, Muftau
AU - Molina-López, Alejandro
AU - Morozov, Petr
AU - Muhammad, Nuru Suleiman
AU - Mustač, Filip
AU - Naor, Mika S.
AU - Nassieb, Amira
AU - Navickas, Alvydas
AU - Okasha, Tarek
AU - Pandova, Milena
AU - Panfil, Anca Livia
AU - Panteleeva, Liliya
AU - Papava, Ion
AU - Patsali, Mikaella E.
AU - Pavlichenko, Alexey
AU - Pejuskovic, Bojana
AU - Pinto da Costa, Mariana
AU - Popkov, Mikhail
AU - Popovic, Dina
AU - Raduan, Nor Jannah Nasution
AU - Vargas Ramírez, Francisca
AU - Rancans, Elmars
AU - Razali, Salmi
AU - Rebok, Federico
AU - Rewekant, Anna
AU - Reyes Flores, Elena Ninoska
AU - Rivera-Encinas, María Teresa
AU - Saiz, Pilar A.
AU - Sánchez de Carmona, Manuel
AU - Saucedo Martínez, David
AU - Saw, Jo Anne
AU - Saygili, Görkem
AU - Schneidereit, Patricia
AU - Shah, Bhumika
AU - Shirasaka, Tomohiro
AU - Silagadze, Ketevan
AU - Sitanggang, Satti
AU - Skugarevsky, Oleg
AU - Spikina, Anna
AU - Mahalingappa, Sridevi Sira
AU - Stoyanova, Maria
AU - Szczegielniak, Anna
AU - Tamasan, Simona Claudia
AU - Tavormina, Giuseppe
AU - Tavormina, Maurilio Giuseppe Maria
AU - Theodorakis, Pavlos N.
AU - Tohen, Mauricio
AU - Tsapakis, Eva Maria
AU - Tukhvatullina, Dina
AU - Ullah, Irfan
AU - Vaidya, Ratnaraj
AU - Vega-Dienstmaier, Johann M.
AU - Vrublevska, Jelena
AU - Vukovic, Olivera
AU - Vysotska, Olga
AU - Widiasih, Natalia
AU - Yashikhina, Anna
AU - Prezerakos, Panagiotis E.
AU - Berk, Michael
AU - Levaj, Sarah
AU - Smirnova, Daria
N1 - Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
PY - 2023/9
Y1 - 2023/9
N2 - 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.
AB - 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.
KW - Anxiety
KW - Conspiracy theories
KW - COVID-19
KW - Depression
KW - Health professionals
KW - Mental disorders
KW - Mental health
KW - Psychiatry
KW - Suicidality
UR - http://www.scopus.com/inward/record.url?scp=85149213713&partnerID=8YFLogxK
U2 - 10.1007/s00127-023-02438-8
DO - 10.1007/s00127-023-02438-8
M3 - Article
C2 - 36867224
AN - SCOPUS:85149213713
SN - 0933-7954
VL - 58
SP - 1387
EP - 1410
JO - Social Psychiatry and Psychiatric Epidemiology
JF - Social Psychiatry and Psychiatric Epidemiology
IS - 9
ER -