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How do "words poorly expressed emotion" affect mental health? The mediating role of affect labelling effect.
Yue, Pengfei; An, Zhou; Lin, Ruxin.
Affiliation
  • Yue P; School of Education Science, Hubei Normal University, Huangshi, People's Republic of China.
  • An Z; School of Education Science, Xinyang Normal University, Xinyang, People's Republic of China.
  • Lin R; School of Education Science, Xinyang Normal University, Xinyang, People's Republic of China.
Cogn Emot ; : 1-16, 2024 Jun 05.
Article de En | MEDLINE | ID: mdl-38837896
ABSTRACT
Previous studies have found that people with high negative emotional granularity(NEG) tend to have better health levels. It is generally believed that this is due to the selection and application of explicit emotion regulation strategies that affect mental health. However, no research has yet examined a more fundamental process, the role of affect labelling, an implicit emotion regulation strategy. This study focuses on the aforementioned issues and uses the experience sampling method to categorise participants into groups with high and low NEG. Using an affect labelling paradigm with ERP(event-related potential) technology, the study measures the effects of affect labelling in participants. Furthermore, it assesses the mental health levels of the participants through questionnaires to explore whether the affect labelling effect serves as a mediator between NEG and mental health. The results show that (1) The high-NEG group exhibited significantly lower LPP wave amplitudes under affect labelling compared to under non-affect labelling, whereas the low-NEG group did not show significant differences. The results indicate that only the high-NEG group can produce the affect labelling effect. (2) The affect labelling effect mediates the relationship between NEG and mental health, meaning that NEG predicts mental health through the affect labelling effect.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Cogn Emot Année: 2024 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Cogn Emot Année: 2024 Type de document: Article