Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/118740
Título: Analysis of the Predictive Role of Self-Compassion on Emotional Distress during COVID-19 Lockdown
Autores/as: Gutiérrez Hernández, María Elena 
Fanjul Rodríguez, Luisa Fernanda 
Díaz Megolla, Alicia 
Oyanadel, Cristián
Peñate Castro, Wenceslao
Clasificación UNESCO: 61 Psicología
610603 Emoción
Palabras clave: mindfulness
mental health
emotional disorders
self-compassion
perceived infectability
Fecha de publicación: 2022
Publicación seriada: Social Sciences 
Resumen: Research has shown that the COVID-19 pandemic has caused a mental health burden worldwide. Most studies have focused on the factors associated with a higher risk of mental health problems, and only a few studies have looked at the potential protective factors. The general objective of this study was to determine whether self-compassion has a protective effect against the risk of mental health problems and especially on perceived infectability. If so, we intended to determine which of the three specific facets of self-compassion (i.e., mindfulness vs. over-identification; self-kindness vs. self-judgment; common humanity vs. isolation;) has the greatest weight in predicting emotional distress. We conducted a cross-sectional study through an online survey completed by 855 participants in Spain. Results confirmed that the three facets of self-compassion reduce the negative correlation between perceived infectability and emotional distress, diminishing its role in predicting emotional distress. These results are discussed in relation to the protective role of self-compassion and the need to further explore the variables associated with a lower risk of mental problems derived from the SARS-CoV-2 pandemic.
URI: http://hdl.handle.net/10553/118740
ISSN: 2076-0760
DOI: 10.3390/socsci11040151
Fuente: Social Science, [ISSN 2076-0760], v. 11, (4), p. 151, (2022).
Colección:Artículos
Adobe PDF (377,69 kB)
Vista completa

Citas SCOPUSTM   

3
actualizado el 21-abr-2024

Visitas

40
actualizado el 17-dic-2023

Descargas

72
actualizado el 17-dic-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.