The Effect of Different Degrees of Lockdown and Self-Identified Gender on Anxiety, Depression and Suicidality During the Covid-19 Pandemic: Data From the International Comet-G Study

Authors

Konstantinos N Fountoulakis
Grigorios N Karakatsoulis
Seri Abraham
Kristina Adorjan
Helal Uddin Ahmed
Renato D Alarcón
Kiyomi Arai
Sani Salihu Auwal
Michael Berk
Sarah Bjedov
Julio Bobes
Teresa Bobes-Bascaran
Julie Bourgin-Duchesnay
Cristina Ana Bredicean
Laurynas Bukelskis
Akaki Burkadze
Indira Indiana Cabrera Abud
Ruby Castilla-Puentes
Marcelo Cetkovich
Hector Colon-Rivera
Ricardo Corral
Carla Cortez-Vergara
Piirika Crepin
Domenico De Berardis
Sergio Zamora Delgado
David De Lucena
Avinash De Sousa
Ramona Di Stefano
Seetal Dodd
Livia Priyanka Elek
Anna Elissa
Berta Erdelyi-Hamza
Gamze Erzin
Martin J Etchevers
Peter Falkai
Adriana Farcas
Ilya Fedotov
Viktoriia Filatova
Nikolaos K Fountoulakis
Iryna Frankova
Francesco Franza
Pedro Frias
Tatiana Galako
Cristian J Garay
Leticia Garcia-Álvarez
Maria Paz García-Portilla
Xenia Gonda
Tomasz M Gondek
Daniela Morera González
Hilary Gould
Paolo Grandinetti
Arturo Grau
Violeta Groudeva
Michal Hagin
Takayuki Harada
Tasdik M Hasan
Nurul Azreen Hashim
Jan Hilbig
Sahadat Hossain
Rossitza Iakimova
Mona Ibrahim
Felicia Iftene
Yulia Ignatenko
Matias Irarrazaval
Zaliha Ismail
Jamila Ismayilova
Asaf Jacobs, New York Medical College
Miro Jakovljević
Nenad Jakšić
Afzal Javed
Helin Yilmaz Kafali
Sagar Karia
Olga Kazakova
Doaa Khalifa
Olena Khaustova
Steve Koh
Svetlana Kopishinskaia
Korneliia Kosenko
Sotirios A Koupidis
Illes Kovacs
Barbara Kulig
Alisha Lalljee
Justine Liewig
Abdul Majid
Evgeniia Malashonkova
Khamelia Malik
Najma Iqbal Malik
Gulay Mammadzada
Bilvesh Mandalia
Donatella Marazziti
Darko Marčinko
Stephanie Martinez
Eimantas Matiekus
Gabriela Mejia
Roha Saeed Memon
Xarah Elenne Meza Martínez
Dalia Mickevičiūtė
Roumen Milev
Muftau Mohammed
Alejandro Molina-López
Petr Morozov
Nuru Suleiman Muhammad
Filip Mustač
Mika S Naor
Amira Nassieb
Alvydas Navickas
Tarek Okasha
Milena Pandova
Anca-Livia Panfil
Liliya Panteleeva
Ion Papava
Mikaella E Patsali
Alexey Pavlichenko
Bojana Pejuskovic
Mariana Pinto Da Costa
Mikhail Popkov
Dina Popovic
Nor Jannah Nasution Raduan
Francisca Vargas Ramírez
Elmars Rancans
Salmi Razali
Federico Rebok
Anna Rewekant
Elena Ninoska Reyes Flores
María Teresa Rivera-Encinas
Pilar Saiz
Manuel Sánchez de Carmona
David Saucedo Martínez
Jo Anne Saw
Görkem Saygili
Patricia Schneidereit
Bhumika Shah
Tomohiro Shirasaka
Ketevan Silagadze
Satti Sitanggang
Oleg Skugarevsky
Anna Spikina
Sridevi Sira Mahalingappa
Maria Stoyanova
Anna Szczegielniak
Simona Claudia Tamasan
Giuseppe Tavormina
Maurilio Giuseppe Maria Tavormina
Pavlos N Theodorakis
Mauricio Tohen
Eva Maria Tsapakis
Dina Tukhvatullina
Irfan Ullah
Ratnaraj Vaidya
Johann M Vega-Dienstmaier
Jelena Vrublevska
Olivera Vukovic
Olga Vysotska
Natalia Widiasih
Anna Yashikhina
Panagiotis E Prezerakos
Daria Smirnova

Author Type(s)

Resident/Fellow

Document Type

Article

Publication Date

9-1-2022

Journal Title

Psychiatry Research

Second Department

Psychiatry and Behavioral Sciences

Abstract

INTRODUCTION: During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question.

MATERIAL AND METHODS: During the COVID-19 pandemic, data were gathered with an online questionnaire 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). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.

STATISTICAL ANALYSIS: It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small.

CONCLUSIONS: The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups.

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