Personality Traits and Colonoscopy Insertion Time: Applying Machine Learning to Predict the Colonoscopy Time and Difficult Colonoscopy

The cecal intubation time (CIT) refers to the time required for the tip of the colonoscope to reach the cecum from passing through the anus. A prolonged CIT is considered a marker of difficulty in colonoscopy. A CIT greater than 10 minutes is considered a difficult colonoscopy. A longer CIT is associated with a lower adenoma detection rate, as it is an indicator of an ineffective colonoscopy, while a shorter CIT will provide the endoscopist with more time for colonoscope retrieval, increasing the likelihood of adenoma detection.

Research has identified factors that influence CIT, including age, gender, body mass index (BMI), waist circumference, bowel preparation, and prior abdominal surgery history.

Personality traits have been found to be associated with the onset of many diseases, such as hypertension and A-type personality, depression, and neurotic personality. According to the Big Five personality theory, personality can be decomposed into five dimensions: openness (O), conscientiousness (C), extraversion (E), agreeableness (A), and neuroticism (N). The Big Five personality theory is a commonly used personality typology in scientific research and has been confirmed in numerous studies. The Big Five Personality Inventory (BFI) is a tool for detecting the classification of the Big Five personality traits. The Chinese version of the Big Five Personality Inventory and norms were jointly revised by Professor Li Jian from the Department of Psychology, Beijing Normal University, and the scale norms were constructed to include people of different age groups. The scale has shown excellent reliability and validity.

The discovery of the brain-gut axis suggests that neural activity can affect the intestinal activity in various ways directly or indirectly, thereby affecting the difficulty of colonoscopy, but there is still a lack of research on the relationship between personality types and difficult colonoscopy, and the specific correlation has not been clarified. What's more important is that previous studies often used ordinary least squares regression (OLS regression) or logistic regression The purpose of this study is to investigate whether personality, BMI, age, gender, anxiety and depression index, metabolic diseases, and history of abdominal and pelvic surgery are associated with prolonged colonoscopy insertion time and difficult colonoscopy, and to construct a clinical diagnostic model by using machine learning methods to predict colonoscopy insertion time and identify difficult colonoscopy patients based on significant variables.

The basic research framework is designed as follows: