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Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords
OBJECTIVES: To analyze and summarize the research hotspots and advancement of post-traumatic growth (PTG) over the past 15 years based on co-word analysis of keywords, and provide references for PTG-related research and clinical intervention. METHODS: All studies related to PTG were retrieved from P...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chinese Nursing Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148259/ https://www.ncbi.nlm.nih.gov/pubmed/37128479 http://dx.doi.org/10.1016/j.ijnss.2023.03.001 |
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author | Yang, Kaihan Lu, Jiaxin Duan, Lingyan Tang, Haiyang Bao, Zufei Liu, Ying Jiang, Xiaolian |
author_facet | Yang, Kaihan Lu, Jiaxin Duan, Lingyan Tang, Haiyang Bao, Zufei Liu, Ying Jiang, Xiaolian |
author_sort | Yang, Kaihan |
collection | PubMed |
description | OBJECTIVES: To analyze and summarize the research hotspots and advancement of post-traumatic growth (PTG) over the past 15 years based on co-word analysis of keywords, and provide references for PTG-related research and clinical intervention. METHODS: All studies related to PTG were retrieved from PubMed and Web of Science (WOS) from January 2013 to July 2022. A total of 11 Medical Subject Headings (MeSH) and keywords were used to identify qualified studies. Bibliographic Item Co-occurrence Matrix Builder (BICOMB; version 2.0) was used to conduct high-frequency keywords extraction and matrix setup, Graphical Clustering Toolkit (gCLUTO; version 1.0) was employed to perform clustering analysis, and SPSS (version 25.0) was used to carry out strategic diagram analysis. RESULTS: A total of 2,370 publications were selected, from which 38 high-frequency keywords were extracted. The results revealed six research hotspots on PTG during the period from 2013 to 2022, including research on i) emotional reactions after negative life events, ii) PTG among cancer survivors, iii) rumination and resilience after trauma, iv) PTG among children and adolescents, v) role of social support and coping strategy in PTG, and vi) association between PTG and quality of life. CONCLUSIONS: This co-word analysis effectively reveals an overview of PTG over the past 15 years. The six research categories deduced from this study can reflect that the research content in the field of PTG is abundant, but some research topics have not yet been mature. The findings of this study are of great value to future investigations associated with PTG. |
format | Online Article Text |
id | pubmed-10148259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Chinese Nursing Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-101482592023-04-30 Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords Yang, Kaihan Lu, Jiaxin Duan, Lingyan Tang, Haiyang Bao, Zufei Liu, Ying Jiang, Xiaolian Int J Nurs Sci Review OBJECTIVES: To analyze and summarize the research hotspots and advancement of post-traumatic growth (PTG) over the past 15 years based on co-word analysis of keywords, and provide references for PTG-related research and clinical intervention. METHODS: All studies related to PTG were retrieved from PubMed and Web of Science (WOS) from January 2013 to July 2022. A total of 11 Medical Subject Headings (MeSH) and keywords were used to identify qualified studies. Bibliographic Item Co-occurrence Matrix Builder (BICOMB; version 2.0) was used to conduct high-frequency keywords extraction and matrix setup, Graphical Clustering Toolkit (gCLUTO; version 1.0) was employed to perform clustering analysis, and SPSS (version 25.0) was used to carry out strategic diagram analysis. RESULTS: A total of 2,370 publications were selected, from which 38 high-frequency keywords were extracted. The results revealed six research hotspots on PTG during the period from 2013 to 2022, including research on i) emotional reactions after negative life events, ii) PTG among cancer survivors, iii) rumination and resilience after trauma, iv) PTG among children and adolescents, v) role of social support and coping strategy in PTG, and vi) association between PTG and quality of life. CONCLUSIONS: This co-word analysis effectively reveals an overview of PTG over the past 15 years. The six research categories deduced from this study can reflect that the research content in the field of PTG is abundant, but some research topics have not yet been mature. The findings of this study are of great value to future investigations associated with PTG. Chinese Nursing Association 2023-03-07 /pmc/articles/PMC10148259/ /pubmed/37128479 http://dx.doi.org/10.1016/j.ijnss.2023.03.001 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Yang, Kaihan Lu, Jiaxin Duan, Lingyan Tang, Haiyang Bao, Zufei Liu, Ying Jiang, Xiaolian Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords |
title | Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords |
title_full | Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords |
title_fullStr | Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords |
title_full_unstemmed | Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords |
title_short | Research hotspots and theme trends in post-traumatic growth: A co-word analysis based on keywords |
title_sort | research hotspots and theme trends in post-traumatic growth: a co-word analysis based on keywords |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148259/ https://www.ncbi.nlm.nih.gov/pubmed/37128479 http://dx.doi.org/10.1016/j.ijnss.2023.03.001 |
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