Taḥqīqāt-i ̒Ulūm-i Raftārī (Jan 2024)

Predicting the severity symptoms in patients with irritable bowel syndrome based on temperament and character of personality.

  • Niloofar Sadat Khatoonabadi,
  • Ali Shariat,
  • Maryam Sharifdoost

Journal volume & issue
Vol. 21, no. 4
pp. 680 – 692

Abstract

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Aim and Background: Irritable bowel syndrome is a chronic functional disease affected by various factors. Despite the effect of personality traits on the course of this disease, few studies have investigated the effect of personality traits on the severity of the symptoms of this disease. Therefore, the present research aims to predict the severity of symptoms in patients with irritable bowel syndrome based on temperament and character of personality. Methods and Materials: The method of this research was descriptive and correlational. The statistical population of this research included all patients suffering from irritable bowel syndrome who referred to a gastroenterologist’s private office in, 2021, which was based on the available sampling method and based on entry and exit criteria were that 242 people were selected using Morgan's table. The participants responded to temperament and character inventory (TCI-125) and irritable bowel syndrome-symptom severity scale (IBS-SSS). The data were analyzed by Pearson correlation and stepwise regression via SPSS 22. Findings: The results showed that 54.3% of the variance in the severity of symptoms of irritable bowel syndrome is explained by temperament and character traits. Among the temperament and character traits, in order, self-directedness, novelty seeking, Harm avoidance, self-transcendence and reward dependence have the greatest effect on the severity of irritable bowel syndrome symptoms and their predictability, but persistence and cooperativeness cannot predict the severity of symptoms. Conclusions: Considering the role of personality traits in predicting the severity of irritable bowel syndrome symptoms, special attention should be paid to personality issues in disease prediction, prevention, control, and treatment.

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