Published Paper Details:

Emotional suppression is a common coping mechanism where individuals consciously inhibit their emotional expressions. While it may serve as a temporary response to distressing stimuli, sustained suppression has been linked to adverse physical health outcomes. This review explores the relationship between emotional suppression and physical illnesses through a data-driven lens. By synthesizing findings from psychological research and integrating them with machine learning-based data analysis, we aim to reveal correlations between repressed emotions and chronic health conditions. Several studies indicate that prolonged emotional suppression may elevate risks for cardiovascular diseases, autoimmune disorders, and gastrointestinal problems due to the persistent activation of stress pathways. Using a variety of health datasets and psychological scales, this study employs supervised learning techniques to analyse emotional suppression patterns and their physiological consequences. The findings support the hypothesis that repressed emotions manifest in physical symptoms over time. This review concludes with a discussion on the importance of addressing emotional well-being in healthcare and the need for further interdisciplinary research using emotional-physiological datasets.