Big Five traits predict stress and loneliness during the COVID-19 pandemic: Evidence for the role of neuroticism

Date

2022-05-01

Author

Ikizer, Gözde
Kowal, Marta
Aldemir, İlknur Dilekler
Jeftić, Alma
Memişoğlu Sanlı, Aybegüm
Najmussaqib, Arooj
Lacko, David
Eichel, Kristina
Turk, Fidan
Chrona, Stavroula
Ahmed, Oli
Rasmussen, Jesper
Kumaga, Raisa
Uddin, Muhammad Kamal
Reynoso-Alcántara, Vicenta
Pankowski, Daniel
Coll-Martín, Tao

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

157
views

0
downloads

© 2022 Elsevier LtdThe rapid outbreak of the coronavirus disease (COVID-19) has affected citizens' daily lives in an unprecedented way. To curb the spread of the pandemic, governments have taken numerous measures such as social distancing and quarantine, which may be associated with psychological consequences, namely stress and loneliness globally. To understand differential associations of personality traits with psychological consequences of COVID-19, we utilize data from a sample of 99,217 individuals from 41 countries collected as part of the COVIDiSTRESS Global Survey. Data were analyzed using multigroup confirmatory factor analysis and multilevel regression models. Findings showed that while some of the associations were rather weak, Big Five personality traits were significantly associated with perceived stress and loneliness during the pandemic. Our study illustrates that neuroticism especially can be a vulnerability factor for stress and loneliness in times of crisis and can contribute to detection of at-risk individuals and optimization of psychological treatments during or after the COVID-19 pandemic.

Subject Keywords

Big Five, COVID-19, Loneliness, Neuroticism, Personality, Stress

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124193330&origin=inward
https://hdl.handle.net/11511/97612

Journal

Personality and Individual Differences

DOI

https://doi.org/10.1016/j.paid.2022.111531

Collections

Graduate School of Social Sciences, Article

Suggestions

OpenMETU
Core

Coronavirus–Related Stressors, Resilient Mindset, Loneliness, Depressive Symptoms in College Students: Testing a Moderated Mediation Model Arslan, Gökmen; Coşkun, Muhammet (2022-01-01) The coronavirus (COVID-19) outbreak alarmingly threats the mental health and functioning of people globally. The present study aims to examine the moderated mediation role of resilient mindset and loneliness in the association of coronavirus stress and depressive symptoms. We recruited 394 undergraduate students from a state university in Türkiye, ranging in age between 18 and 47 years (M = 22.76, SD = 3.88; 65% female). The main results revealed that resilient mindset mediated the relationship between coro...
EMPIRICAL ANALYSES OF THE DUTCH DISEASE IN AZERBAIJAN’S ECONOMY Safarli, Uzeyir; Gaygısız Lajunen, Esma; Department of Economics (2022-12) Dutch Disease syndrome has been frequently investigated in the literature and observed as a threat to the resource-rich economies. Basically, it describes a phenomenon which increasing activity in a booming resource sector harms overall economy and decreases growth. This thesis analyzes effects of the petroleum sector employing various indicators ( export of the petroleum sector, transfers from SOFAZ, and price shocks) on various units of the economy namely GDP growth, output in the non-oil tradable sector,...
Clustering method for spread pattern analysis of corona - virus (COVID - 19) infection in Iran Azarafza, Mohammad; Azarafza, Mehda; Akgün, Haluk (2021-01-01) The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Application of data mining to perform pattern recognition of infection is mainly used for preparing the spread mapping which considered in this work for spatiotemporal distribution assessment and spread pattern analysis of corona-virus (COVID-19) infection in Iran
The impacts of COVID-19 lockdown on PM10 and SO2 concentrations and association with human mobility across Turkey Orak, Nur Hanife; Özdemir, Ozancan (2021-06-01) The SARS-CoV-2 virus pandemic (COVID-19) has caused 2.25 million deaths worldwide by February 3, 2021 (JHU, 2021) and still causing severe health and economic disruptions with increasing rates. This study investigates the impact of lockdown measures on ambient air pollution and its association with human mobility in 81 cities of Turkey. We conducted a countrywide analysis using PM10 and SO2 measurement data by the Turkish Ministry of Environment and Urbanization and mobility data derived from cellular devic...
Health anxiety During COVID-19: Predictive Roles of Health Promoting Behaviors and Sensory Processing Sensitivity Güneş, Seren; Bulut, Burcu Pınar (2021-01-01) © 2022 Taylor & Francis Group, LLC.Objective: The emergence of the COVID-19 pandemic resulted in major changes in daily life and economic conditions while heightening physical and mental health problems, including health anxiety. Health authorities and elected officials have encouraged individuals to engage in health behaviors. Perceptions of and reactions to these changes could be subject to individual differences. In this line, the current study investigated the predictive roles of health promoting behavi...

Citation Formats

G. Ikizer et al., “Big Five traits predict stress and loneliness during the COVID-19 pandemic: Evidence for the role of neuroticism,” Personality and Individual Differences, vol. 190, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124193330&origin=inward.