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Self-Compassion during COVID-19 in Non-WEIRD Countries: A Narrative Review.
Kotera, Yasuhiro; Kirkman, Ann; Beaumont, Julie; Komorowska, Magdalena A; Such, Elizabeth; Kaneda, Yudai; Rushforth, Annabel.
Afiliación
  • Kotera Y; School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK.
  • Kirkman A; College of Health, Psychology and Social Care, University of Derby, Derby DE22 1GB, UK.
  • Beaumont J; College of Health, Psychology and Social Care, University of Derby, Derby DE22 1GB, UK.
  • Komorowska MA; College of Health, Psychology and Social Care, University of Derby, Derby DE22 1GB, UK.
  • Such E; School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK.
  • Kaneda Y; School of Medicine, Hokkaido University, Sapporo 060-8638, Hokkaido, Japan.
  • Rushforth A; College of Health, Psychology and Social Care, University of Derby, Derby DE22 1GB, UK.
Healthcare (Basel) ; 11(14)2023 Jul 13.
Article en En | MEDLINE | ID: mdl-37510457
The coronavirus disease 2019 (COVID-19) pandemic impacted people's mental health negatively worldwide, including in non-WEIRD (Western, Educated, Industrialised, Rich and Democratic) countries. Self-compassion, kindness and understanding towards oneself in difficult times have received increasing attention in the field of mental health. Self-compassion is strongly associated with good mental health in various populations. This narrative review aimed to synthesise the evidence on self-compassion and mental health in non-WEIRD countries during the COVID-19 pandemic. MEDLINE and PsycINFO were searched for empirical studies. Self-compassion was consistently associated with positive mental health in non-WEIRD countries too. However, how, and to what degree, each component of self-compassion impacts mental health remains to be evaluated across different cultures. Future research such as multi-national intervention studies, or component network meta-analysis, is needed to advance our understanding of how self-compassion improves mental health in different populations.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Healthcare (Basel) Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Healthcare (Basel) Año: 2023 Tipo del documento: Article