Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods
ObjectiveTo explore the characteristics and core items of the network structure between school students’ sense of meaning in life, self-acceptance, and prosocial behavior, and to provide a basis for understanding the relationship between their sense of meaning in life, self-acceptance and prosocial...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1533687/full |
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| author | Li Guo Yangtong Niu Xinying Li Yuting Li Zhaoxia Xue Guane Yang Guane Yang |
| author_facet | Li Guo Yangtong Niu Xinying Li Yuting Li Zhaoxia Xue Guane Yang Guane Yang |
| author_sort | Li Guo |
| collection | DOAJ |
| description | ObjectiveTo explore the characteristics and core items of the network structure between school students’ sense of meaning in life, self-acceptance, and prosocial behavior, and to provide a basis for understanding the relationship between their sense of meaning in life, self-acceptance and prosocial behavior and related interventions.MethodsA survey of 1232 school students was conducted using the Self-Acceptance Scale, the prosocial Behavior Scale, and the Sense of Meaning of Life Scale. Network analysis was used to construct the network of prosocial behavior, self-acceptance, and sense of the meaning of life among school students, and the software R was used for statistical analysis and visualization.ResultsIn the regularized bias correlation network of self-acceptance, prosocial behavior, and sense of meaning in life among school students, self-acceptance and self-appraisal, having meaning and self-appraisal, anonymity and altruism had the strongest correlation; emotionality, altruism, and urgency had the highest expected impact; and having meaning and self-appraisal had the highest expected impact of the bridge.ConclusionSelf-acceptance, meaning in life, and prosocial behavior are interrelated; interventions targeting emotionality, altruism, and urgency in the prosocial behavior dimensions may maximize prosocial behavioral effects among college students. |
| format | Article |
| id | doaj-art-50148e28f0dd4f109ef4e33eb7866e61 |
| institution | OA Journals |
| issn | 1664-1078 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj-art-50148e28f0dd4f109ef4e33eb7866e612025-08-20T01:53:49ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-04-011610.3389/fpsyg.2025.15336871533687Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methodsLi Guo0Yangtong Niu1Xinying Li2Yuting Li3Zhaoxia Xue4Guane Yang5Guane Yang6School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, ChinaSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, ChinaSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, ChinaSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, ChinaSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, ChinaSchool of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, ChinaSchool of Pharmaceutical Sciences, Shanxi Medical University, Jinzhong, ChinaObjectiveTo explore the characteristics and core items of the network structure between school students’ sense of meaning in life, self-acceptance, and prosocial behavior, and to provide a basis for understanding the relationship between their sense of meaning in life, self-acceptance and prosocial behavior and related interventions.MethodsA survey of 1232 school students was conducted using the Self-Acceptance Scale, the prosocial Behavior Scale, and the Sense of Meaning of Life Scale. Network analysis was used to construct the network of prosocial behavior, self-acceptance, and sense of the meaning of life among school students, and the software R was used for statistical analysis and visualization.ResultsIn the regularized bias correlation network of self-acceptance, prosocial behavior, and sense of meaning in life among school students, self-acceptance and self-appraisal, having meaning and self-appraisal, anonymity and altruism had the strongest correlation; emotionality, altruism, and urgency had the highest expected impact; and having meaning and self-appraisal had the highest expected impact of the bridge.ConclusionSelf-acceptance, meaning in life, and prosocial behavior are interrelated; interventions targeting emotionality, altruism, and urgency in the prosocial behavior dimensions may maximize prosocial behavioral effects among college students.https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1533687/fullcollege studentssense of meaning in lifeprosocial behaviorself-acceptanceanalysis methods |
| spellingShingle | Li Guo Yangtong Niu Xinying Li Yuting Li Zhaoxia Xue Guane Yang Guane Yang Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods Frontiers in Psychology college students sense of meaning in life prosocial behavior self-acceptance analysis methods |
| title | Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods |
| title_full | Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods |
| title_fullStr | Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods |
| title_full_unstemmed | Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods |
| title_short | Sense of meaning in life, self-acceptance, and prosocial behavior: an application of network analysis methods |
| title_sort | sense of meaning in life self acceptance and prosocial behavior an application of network analysis methods |
| topic | college students sense of meaning in life prosocial behavior self-acceptance analysis methods |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1533687/full |
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