Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches
ObjectiveSleep is a vital component of individual health, and personality traits are key factors influencing it. This study aims to investigate the relationship between personality traits and both modelassessed sleep problems and self-reported sleep quality.MethodsUsing deep semantic understanding t...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1596269/full |
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| author | Lei Cao Jiake Wu Mengyao Wang Liang Zhao Xin Wang Bowen Yao Qi Li |
| author_facet | Lei Cao Jiake Wu Mengyao Wang Liang Zhao Xin Wang Bowen Yao Qi Li |
| author_sort | Lei Cao |
| collection | DOAJ |
| description | ObjectiveSleep is a vital component of individual health, and personality traits are key factors influencing it. This study aims to investigate the relationship between personality traits and both modelassessed sleep problems and self-reported sleep quality.MethodsUsing deep semantic understanding technology, we developed three deep learning models based on microblogs. Model 1 and Model 2 identified whether a post indicated a sleep problem, while Model 3 assessed the user’s personality traits based on the Five-Factor Model (FFM). We surveyed a dataset comprising 336 active users and then applied the models to a large-scale microblog dataset containing 4,860,000 posts from 15,251 users.ResultsOur experimental results revealed that: (1) conscientiousness, agreeableness, and extraversion are associated with better sleep quality, while neuroticism is linked to poorer sleep quality; (2) the relationships between sleep problems and personality traits remained consistent when the model, trained on a small survey dataset with expert annotations, was applied to the large-scale dataset.ConclusionsThese findings highlight the potential of using deep learning models to analyze the complex relationship between personality traits and sleep, offering valuable insights for future research and interventions. |
| format | Article |
| id | doaj-art-77ec9068c96545f8a624fcacc41f3a15 |
| institution | Kabale University |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj-art-77ec9068c96545f8a624fcacc41f3a152025-08-20T03:27:57ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-07-011610.3389/fpsyt.2025.15962691596269Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approachesLei Cao0Jiake Wu1Mengyao Wang2Liang Zhao3Xin Wang4Bowen Yao5Qi Li6Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, ChinaBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, ChinaBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, ChinaSchool of Information Management, Key Laboratory of Semantic, Publishing and Knowledge Service of the National Press and Publication Administration, Wuhan University, Wuhan, ChinaThe Institute of Biomedical Engineering, University of Oxford, Oxford, United KingdomSchool of Economics and Management, Beijing Jiaotong University, Beijing, ChinaBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, ChinaObjectiveSleep is a vital component of individual health, and personality traits are key factors influencing it. This study aims to investigate the relationship between personality traits and both modelassessed sleep problems and self-reported sleep quality.MethodsUsing deep semantic understanding technology, we developed three deep learning models based on microblogs. Model 1 and Model 2 identified whether a post indicated a sleep problem, while Model 3 assessed the user’s personality traits based on the Five-Factor Model (FFM). We surveyed a dataset comprising 336 active users and then applied the models to a large-scale microblog dataset containing 4,860,000 posts from 15,251 users.ResultsOur experimental results revealed that: (1) conscientiousness, agreeableness, and extraversion are associated with better sleep quality, while neuroticism is linked to poorer sleep quality; (2) the relationships between sleep problems and personality traits remained consistent when the model, trained on a small survey dataset with expert annotations, was applied to the large-scale dataset.ConclusionsThese findings highlight the potential of using deep learning models to analyze the complex relationship between personality traits and sleep, offering valuable insights for future research and interventions.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1596269/fullpersonalitysleepsemantic understandingneural networkmicroblog |
| spellingShingle | Lei Cao Jiake Wu Mengyao Wang Liang Zhao Xin Wang Bowen Yao Qi Li Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches Frontiers in Psychiatry personality sleep semantic understanding neural network microblog |
| title | Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches |
| title_full | Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches |
| title_fullStr | Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches |
| title_full_unstemmed | Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches |
| title_short | Relationship between personality and sleep: a dual validation study combining empirical and big data-driven approaches |
| title_sort | relationship between personality and sleep a dual validation study combining empirical and big data driven approaches |
| topic | personality sleep semantic understanding neural network microblog |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1596269/full |
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