Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

Konstantinos N. Fountoulakis; Jelena Vrublevska; Seri Abraham; Kristina Adorjan; Helal Uddin Ahmed; Renato D. Alarcon; 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-Alvarez; Maria Paz Garcia-Portilla; Xenia Gonda; Tomasz M. Gondek; Daniela Morera Gonzalez; 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; Miro Jakovljevic; Nenad Jaksic; Afzal Javed; Helin Yilmaz Kafali; Sagar Karia; Olga Kazakova; Doaa Khalifa; Olena Khaustova; Steve Koh; Korneliia Kosenko; Sotirios A. Koupidis; Alisha Lalljee; Justine Liewig; Abdul Majid; Evgeniia Malashonkova; Khamelia Malik; Najma Iqbal Malik; Gulay Mammadzada; Bilvesh Mandalia; Donatella Marazziti; Darko Marcinko; Stephanie Martinez; Eimantas Matiekus; Gabriela Mejia; Roha Saeed Memon; Xarah Elenne Meza Martinez; Dalia Mickeviciute; Roumen Milev; Muftau Mohammed; Alejandro Molina-Lopez; Petr Morozov; Nuru Suleiman Muhammad; Filip Mustac; 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 Ramirez; Elmars Rancans; Salmi Razali; Federico Rebok; Anna Rewekant; Elena Ninoska Reyes Flores; Maria Teresa Rivera-Encinas; Pilar Saiz; Manuel Sanchez de Carmona; David Saucedo Martinez; Jo Anne Saw; Gorken 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; Olivera Vukovic; Olga Vysotska; Natalia Widiasih; Anna Yashikhina; Daria Smirnova

doi:10.1016/j.jad.2024.02.050

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

Konstantinos N. Fountoulakis, Jelena Vrublevska, Seri Abraham, Kristina Adorjan, Helal Uddin Ahmed, Renato D. Alarcon, 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-RiveraRicardo 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-Alvarez, Maria Paz Garcia-Portilla, Xenia Gonda, Tomasz M. Gondek, Daniela Morera Gonzalez, 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, Miro Jakovljevic, Nenad Jaksic, Afzal Javed, Helin Yilmaz Kafali, Sagar Karia, Olga Kazakova, Doaa Khalifa, Olena Khaustova, Steve Koh, Korneliia Kosenko, Sotirios A. Koupidis, Alisha Lalljee, Justine Liewig, Abdul Majid, Evgeniia Malashonkova, Khamelia Malik, Najma Iqbal Malik, Gulay Mammadzada, Bilvesh Mandalia, Donatella Marazziti, Darko Marcinko, Stephanie Martinez, Eimantas Matiekus, Gabriela Mejia, Roha Saeed Memon, Xarah Elenne Meza Martinez, Dalia Mickeviciute, Roumen Milev, Muftau Mohammed, Alejandro Molina-Lopez, Petr Morozov, Nuru Suleiman Muhammad, Filip Mustac, 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 Ramirez, Elmars Rancans, Salmi Razali, Federico Rebok, Anna Rewekant, Elena Ninoska Reyes Flores, Maria Teresa Rivera-Encinas, Pilar Saiz, Manuel Sanchez de Carmona, David Saucedo Martinez, Jo Anne Saw, Gorken 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, Olivera Vukovic, Olga Vysotska, Natalia Widiasih, Anna Yashikhina, Daria Smirnova

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

Background: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.Methods: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.Results: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.Conclusions: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research. Limitations: Online data collection may have resulted in the underrepresentation of certain population groups.

Original language	English
Pages (from-to)	536-551
Number of pages	16
Journal	Journal of Affective Disorders
Volume	352
Early online date	Mar 2024
DOIs	https://doi.org/10.1016/j.jad.2024.02.050
Publication status	Published - 1 May 2024
Externally published	Yes

Keywords

Covid-19
Depression
Mental health history
Non-binary gender
Risk factors

Access to Document

10.1016/j.jad.2024.02.050

Cite this

Fountoulakis, K. N., Vrublevska, J., Abraham, S., Adorjan, K., Ahmed, H. U., Alarcon, R. D., Arai, K., Auwal, S. S., Berk, M., Bjedov, S., Bobes, J., Bobes-Bascaran, T., Bourgin-Duchesnay, J., Bredicean, C. A., Bukelskis, L., Burkadze, A., Abud, I. I. C., Castilla-Puentes, R., Cetkovich, M., ... Smirnova, D. (2024). Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study. Journal of Affective Disorders, 352, 536-551. https://doi.org/10.1016/j.jad.2024.02.050

@article{0141015492c6480483b83dd94e61d656,

title = "Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study",

abstract = "Background: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.Methods: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.Results: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.Conclusions: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research. Limitations: Online data collection may have resulted in the underrepresentation of certain population groups.",

keywords = "Covid-19, Depression, Mental health history, Non-binary gender, Risk factors",

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

year = "2024",

month = may,

day = "1",

doi = "10.1016/j.jad.2024.02.050",

language = "English",

volume = "352",

pages = "536--551",

journal = "Journal of Affective Disorders",

issn = "0165-0327",

publisher = "Elsevier B.V.",

}

Fountoulakis, KN, Vrublevska, J, Abraham, S, Adorjan, K, Ahmed, HU, Alarcon, RD, Arai, K, Auwal, SS, Berk, M, Bjedov, S, Bobes, J, Bobes-Bascaran, T, Bourgin-Duchesnay, J, Bredicean, CA, Bukelskis, L, Burkadze, A, Abud, IIC, Castilla-Puentes, R, Cetkovich, M, Colon-Rivera, H, Corral, R, Cortez-Vergara, C, Crepin, P, De Berardis, D, Delgado, SZ, De Lucena, D, De Sousa, A, Di Stefano, R, Dodd, S, Elek, LP, Elissa, A, Erdelyi-Hamza, B, Erzin, G, Etchevers, MJ, Falkai, P, Farcas, A, Fedotov, I, Filatova, V, Fountoulakis, NK, Frankova, I, Franza, F, Frias, P, Galako, T, Garay, CJ, Garcia-Alvarez, L, Garcia-Portilla, MP, Gonda, X, Gondek, TM, Gonzalez, DM, Gould, H, Grandinetti, P, Grau, A, Groudeva, V, Hagin, M, Harada, T, Hasan, TM, Hashim, NA, Hilbig, J, Hossain, S, Iakimova, R, Ibrahim, M, Iftene, F, Ignatenko, Y, Irarrazaval, M, Ismail, Z, Ismayilova, J, Jacobs, A, Jakovljevic, M, Jaksic, N, Javed, A, Kafali, HY, Karia, S, Kazakova, O, Khalifa, D, Khaustova, O, Koh, S, Kosenko, K, Koupidis, SA, Lalljee, A, Liewig, J, Majid, A, Malashonkova, E, Malik, K, Malik, NI, Mammadzada, G, Mandalia, B, Marazziti, D, Marcinko, D, Martinez, S, Matiekus, E, Mejia, G, Memon, RS, Martinez, XEM, Mickeviciute, D, Milev, R, Mohammed, M, Molina-Lopez, A, Morozov, P, Muhammad, NS, Mustac, F, Naor, MS, Nassieb, A, Navickas, A, Okasha, T, Pandova, M, Panfil, A-L, Panteleeva, L, Papava, I, Patsali, ME, Pavlichenko, A, Pejuskovic, B, Da Costa, MP, Popkov, M, Popovic, D, Raduan, NJN, Ramirez, FV, Rancans, E, Razali, S, Rebok, F, Rewekant, A, Flores, ENR, Rivera-Encinas, MT, Saiz, P, de Carmona, MS, Martinez, DS, Saw, JA, Saygili, G, Schneidereit, P, Shah, B, Shirasaka, T, Silagadze, K, Sitanggang, S, Skugarevsky, O, Spikina, A, Mahalingappa, SS, Stoyanova, M, Szczegielniak, A, Tamasan, SC, Tavormina, G, Tavormina, MGM, Theodorakis, PN, Tohen, M, Tsapakis, EM, Tukhvatullina, D, Ullah, I, Vaidya, R, Vega-Dienstmaier, JM, Vukovic, O, Vysotska, O, Widiasih, N, Yashikhina, A & Smirnova, D 2024, 'Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study', Journal of Affective Disorders, vol. 352, pp. 536-551. https://doi.org/10.1016/j.jad.2024.02.050

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study. / Fountoulakis, Konstantinos N.; Vrublevska, Jelena; Abraham, Seri et al.
In: Journal of Affective Disorders, Vol. 352, 01.05.2024, p. 536-551.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic

T2 - Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

AU - Fountoulakis, Konstantinos N.

AU - Vrublevska, Jelena

AU - Abraham, Seri

AU - Adorjan, Kristina

AU - Ahmed, Helal Uddin

AU - Alarcon, Renato D.

AU - Arai, Kiyomi

AU - Auwal, Sani Salihu

AU - Berk, Michael

AU - Bjedov, Sarah

AU - Bobes, Julio

AU - Bobes-Bascaran, Teresa

AU - Bourgin-Duchesnay, Julie

AU - Bredicean, Cristina Ana

AU - Bukelskis, Laurynas

AU - Burkadze, Akaki

AU - Abud, Indira Indiana Cabrera

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 - Delgado, Sergio Zamora

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-Alvarez, Leticia

AU - Garcia-Portilla, Maria Paz

AU - Gonda, Xenia

AU - Gondek, Tomasz M.

AU - Gonzalez, Daniela Morera

AU - Gould, Hilary

AU - Grandinetti, Paolo

AU - Grau, Arturo

AU - Groudeva, Violeta

AU - Hagin, Michal

AU - Harada, Takayuki

AU - Hasan, Tasdik M.

AU - Hashim, Nurul Azreen

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 - Jakovljevic, Miro

AU - Jaksic, Nenad

AU - Javed, Afzal

AU - Kafali, Helin Yilmaz

AU - Karia, Sagar

AU - Kazakova, Olga

AU - Khalifa, Doaa

AU - Khaustova, Olena

AU - Koh, Steve

AU - Kosenko, Korneliia

AU - Koupidis, Sotirios A.

AU - Lalljee, Alisha

AU - Liewig, Justine

AU - Majid, Abdul

AU - Malashonkova, Evgeniia

AU - Malik, Khamelia

AU - Malik, Najma Iqbal

AU - Mammadzada, Gulay

AU - Mandalia, Bilvesh

AU - Marazziti, Donatella

AU - Marcinko, Darko

AU - Martinez, Stephanie

AU - Matiekus, Eimantas

AU - Mejia, Gabriela

AU - Memon, Roha Saeed

AU - Martinez, Xarah Elenne Meza

AU - Mickeviciute, Dalia

AU - Milev, Roumen

AU - Mohammed, Muftau

AU - Molina-Lopez, Alejandro

AU - Morozov, Petr

AU - Muhammad, Nuru Suleiman

AU - Mustac, 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 - Da Costa, Mariana Pinto

AU - Popkov, Mikhail

AU - Popovic, Dina

AU - Raduan, Nor Jannah Nasution

AU - Ramirez, Francisca Vargas

AU - Rancans, Elmars

AU - Razali, Salmi

AU - Rebok, Federico

AU - Rewekant, Anna

AU - Flores, Elena Ninoska Reyes

AU - Rivera-Encinas, Maria Teresa

AU - Saiz, Pilar

AU - de Carmona, Manuel Sanchez

AU - Martinez, David Saucedo

AU - Saw, Jo Anne

AU - Saygili, Gorken

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 - Vukovic, Olivera

AU - Vysotska, Olga

AU - Widiasih, Natalia

AU - Yashikhina, Anna

AU - Smirnova, Daria

PY - 2024/5/1

Y1 - 2024/5/1

N2 - Background: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.Methods: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.Results: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.Conclusions: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research. Limitations: Online data collection may have resulted in the underrepresentation of certain population groups.

AB - Background: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.Methods: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.Results: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.Conclusions: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research. Limitations: Online data collection may have resulted in the underrepresentation of certain population groups.

KW - Covid-19

KW - Depression

KW - Mental health history

KW - Non-binary gender

KW - Risk factors

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=wosstart_imp_pure20230417&SrcAuth=WosAPI&KeyUT=WOS:001253455900001&DestLinkType=FullRecord&DestApp=WOS_CPL

U2 - 10.1016/j.jad.2024.02.050

DO - 10.1016/j.jad.2024.02.050

M3 - Article

C2 - 38382816

SN - 0165-0327

VL - 352

SP - 536

EP - 551

JO - Journal of Affective Disorders

JF - Journal of Affective Disorders

ER -

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

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