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March 28, 2026Brain SciencesOpen Access

Clustering Analysis of Emotional Expression, Personality Traits, and Psychological Symptoms

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Authors

LMLingping MengMLMingzheng LiXSXiuxiu Sun

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Overview

Analysis reveals age differences in emotional expression and personality traits, suggesting mental health implications.

Key Points

  • This research aims to explore the relationships between emotional expression, personality traits, and psychological symptoms across different age groups.
  • Assessed psychological symptoms using the SCL-90 survey.
  • Evaluated personality traits with the Big Five Inventory-2 (BFI-2).
  • Analyzed emotional expression through facial recognition with a convolutional neural network model.
  • Employed Kruskal–Wallis H tests for age-related differences.
  • Applied K-means cluster analysis to identify emotional expression patterns.
  • Young adults displayed the highest levels of depression and anxiety.
  • Neuroticism decreased and conscientiousness increased with age, indicating significant developmental trends.
  • Identified three emotional expression clusters: Cluster 1 (happiness), Cluster 2 (anger, disgust, fear), and Cluster 3 (neutrality, sadness, surprise).
  • Cluster 2 had the highest scores on psychological distress indicators compared to other clusters.
  • 26.5% of participants were found to be at high risk for mental health issues.

Cite This Study

Meng et al. (2026) studied this question.

synapsesocial.com/papers/69c771c58bbfbc51511e1ccfhttps://doi.org/10.3390/brainsci16040353
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