TY - GEN
T1 - The Causal Effect of Personality Traits on the Mental Health in Breast Cancer Patients Under the Occurrence of Negative Life Events
AU - Petrakis, Aristeidis
AU - Mylona, Eugenia
AU - Kourou, Konstantina
AU - Manikis, Georgios
AU - Kondylakis, Haridimos
AU - Marias, Kostas
AU - Poikonen-Saksela, Paula
AU - Simos, Panagiotis
AU - Karademas, Evangelos
AU - Mazzocco, Ketti
AU - Pat-Horenczyk, Ruth
AU - Sousa, Berta
AU - Fotiadis, Dimitrios I.
N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.
PY - 2025
Y1 - 2025
N2 - Using longitudinal data from Portugal, Italy, Finland, and Israel, this article attempts to explore the causal relationship between mental health and the Big Five personality traits of breast cancer patients with the appearance of adverse life events. The main conclusion is that patients with high scores in the Big Five personality traits index enjoy better mental health status than patients with low scores in that index. In addition, there is a significant negative correlation between mental health deterioration and personality traits as an index and as individual traits. The negative impact on the mental health of cumulative adverse life events is significant and cannot be moderated by personality traits. Single negative life events have a positive correlation with mental health status deterioration, though not all of them are significant and only work-related problems can moderated significantly by high scores in the personality trait index. Moreover, the most important control variable are the state of exercise, which if it changes from active to not active causes a significant drop in the mental health score and cancer stage. Lastly, this causal relationship is validated by the prediction accuracy of AI/ML models.
AB - Using longitudinal data from Portugal, Italy, Finland, and Israel, this article attempts to explore the causal relationship between mental health and the Big Five personality traits of breast cancer patients with the appearance of adverse life events. The main conclusion is that patients with high scores in the Big Five personality traits index enjoy better mental health status than patients with low scores in that index. In addition, there is a significant negative correlation between mental health deterioration and personality traits as an index and as individual traits. The negative impact on the mental health of cumulative adverse life events is significant and cannot be moderated by personality traits. Single negative life events have a positive correlation with mental health status deterioration, though not all of them are significant and only work-related problems can moderated significantly by high scores in the personality trait index. Moreover, the most important control variable are the state of exercise, which if it changes from active to not active causes a significant drop in the mental health score and cancer stage. Lastly, this causal relationship is validated by the prediction accuracy of AI/ML models.
KW - Adverse life events
KW - Artificial Intelligence
KW - Big Five Personality traits
KW - Breast cancer
KW - Causal inference
KW - HADS
KW - Machine Learning
KW - Mental Health
KW - Panel Data
KW - Predictive models
UR - http://www.scopus.com/inward/record.url?scp=105003905259&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-85572-6_8
DO - 10.1007/978-3-031-85572-6_8
M3 - منشور من مؤتمر
SN - 9783031855719
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 110
EP - 141
BT - Pervasive Computing Technologies for Healthcare - 18th EAI International Conference, PervasiveHealth 2024, Proceedings
A2 - Kondylakis, Haridimos
A2 - Triantafyllidis, Andreas
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2024
Y2 - 17 September 2024 through 18 September 2024
ER -