ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Digital Mental Health
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1596269
This article is part of the Research TopicAI Approach to the Psychiatric Diagnosis and Prediction Volume IIView all articles
Relationship Between Personality and Sleep: A Dual Validation Study Combining Empirical and Big Data-Driven Approaches
Provisionally accepted
- 1Faculty of Psychology, Beijing Normal University, Beijing, Beijing, China
- 2School of Information Management, Faculty of Social Sciences, Wuhan University, Wuhan, Hubei Province, China
- 3Institute of Biomedical Engineering, Department of Engineering Science, Mathematical, Physical and Life Sciences Division, University of Oxford, Oxford, England, United Kingdom
- 4Department of Economics, School of Economics and Management, Beijing Jiaotong University, Beijing, China
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Sleep 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. Using 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. Our 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. These 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.
Keywords: Personality, Sleep, semantic understanding, Neural Network, microblog
Received: 19 Mar 2025; Accepted: 17 Jun 2025.
Copyright: © 2025 Cao, Wu, Wang, Zhao, Wang, Yao and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Qi Li, Faculty of Psychology, Beijing Normal University, Beijing, 100875, Beijing, China
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