Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic
Abstract Over the past few years, the COVID-19 pandemic has exerted various impacts on the world, notably concerning mental health. Nevertheless, the precise influence of psychosocial stressors on this mental health crisis remains largely unexplored. In this study, we employ natural language process...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-10-01
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| Series: | npj Mental Health Research |
| Online Access: | https://doi.org/10.1038/s44184-023-00039-6 |
| _version_ | 1797555579323940864 |
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| author | María P. Raveau Julián I. Goñi José F. Rodríguez Isidora Paiva-Mack Fernanda Barriga María P. Hermosilla Claudio Fuentes-Bravo Susana Eyheramendy |
| author_facet | María P. Raveau Julián I. Goñi José F. Rodríguez Isidora Paiva-Mack Fernanda Barriga María P. Hermosilla Claudio Fuentes-Bravo Susana Eyheramendy |
| author_sort | María P. Raveau |
| collection | DOAJ |
| description | Abstract Over the past few years, the COVID-19 pandemic has exerted various impacts on the world, notably concerning mental health. Nevertheless, the precise influence of psychosocial stressors on this mental health crisis remains largely unexplored. In this study, we employ natural language processing to examine chat text from a mental health helpline. The data was obtained from a chat helpline called Safe Hour from the “It Gets Better” project in Chile. This dataset encompass 10,986 conversations between trained professional volunteers from the foundation and platform users from 2018 to 2020. Our analysis shows a significant increase in conversations covering issues of self-image and interpersonal relations, as well as a decrease in performance themes. Also, we observe that conversations involving themes like self-image and emotional crisis played a role in explaining both suicidal behavior and depressive symptoms. However, anxious symptoms can only be explained by emotional crisis themes. These findings shed light on the intricate connections between psychosocial stressors and various mental health aspects in the context of the COVID-19 pandemic. |
| first_indexed | 2024-03-10T16:49:28Z |
| format | Article |
| id | doaj.art-19a17c1bcdfe4c7286916b88d5c8514e |
| institution | Directory Open Access Journal |
| issn | 2731-4251 |
| language | English |
| last_indexed | 2024-03-10T16:49:28Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Mental Health Research |
| spelling | doaj.art-19a17c1bcdfe4c7286916b88d5c8514e2023-11-20T11:20:02ZengNature Portfolionpj Mental Health Research2731-42512023-10-01211910.1038/s44184-023-00039-6Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemicMaría P. Raveau0Julián I. Goñi1José F. Rodríguez2Isidora Paiva-Mack3Fernanda Barriga4María P. Hermosilla5Claudio Fuentes-Bravo6Susana Eyheramendy7Faro, Universidad del DesarrolloDILAB, Facultad de Ingeniería, Pontificia Universidad Católica de ChileFacultad de Ingeniería y Ciencias, Universidad Adolfo IbáñezEscuela de Psicología, Universidad Adolfo IbáñezFundación Todo MejoraGobLab, Escuela de Gobierno, Universidad Adolfo IbáñezFacultad de Derecho, Universidad de ChileFacultad de Ingeniería y Ciencias, Universidad Adolfo IbáñezAbstract Over the past few years, the COVID-19 pandemic has exerted various impacts on the world, notably concerning mental health. Nevertheless, the precise influence of psychosocial stressors on this mental health crisis remains largely unexplored. In this study, we employ natural language processing to examine chat text from a mental health helpline. The data was obtained from a chat helpline called Safe Hour from the “It Gets Better” project in Chile. This dataset encompass 10,986 conversations between trained professional volunteers from the foundation and platform users from 2018 to 2020. Our analysis shows a significant increase in conversations covering issues of self-image and interpersonal relations, as well as a decrease in performance themes. Also, we observe that conversations involving themes like self-image and emotional crisis played a role in explaining both suicidal behavior and depressive symptoms. However, anxious symptoms can only be explained by emotional crisis themes. These findings shed light on the intricate connections between psychosocial stressors and various mental health aspects in the context of the COVID-19 pandemic.https://doi.org/10.1038/s44184-023-00039-6 |
| spellingShingle | María P. Raveau Julián I. Goñi José F. Rodríguez Isidora Paiva-Mack Fernanda Barriga María P. Hermosilla Claudio Fuentes-Bravo Susana Eyheramendy Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic npj Mental Health Research |
| title | Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic |
| title_full | Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic |
| title_fullStr | Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic |
| title_full_unstemmed | Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic |
| title_short | Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic |
| title_sort | natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic |
| url | https://doi.org/10.1038/s44184-023-00039-6 |
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