Abstract

Adverse systemic effect caused by betel nut had been reported for decades. Our aim was to determine whether betel nut had detrimental impact on the development of colorectal polyps in general population. Participants who attended health examinations at the Tri-Service General Hospital (TSGH) from 2010 to 2016 were included in the study. The habit of betel nut chewing was obtained from a self-reported questionnaire. Colorectal polyps were diagnosed by colonoscopies operated by experienced physicians. A logistic regression model was used for the association between betel nut chewing with the presence of colorectal polyps. After adjustment for pertinent information such as age, gender, biochemistry data and personal history, the odd ratios (ORs) of colorectal polyps among betel nut chewers was 1.49 (95%CI: 1.14–1.94). Besides, betel nut chewers in the higher percentage body fat (PBF) group had higher risk for developing colorectal polyps with ORs of 2.07 (95%CI:1.23–3.47). Subjects with habit of betel nut chewing were associated with an increased risk of colorectal polyps in Taiwanese general population. Screening for betel nut chewing history and encouraging cessation might offer improved quality of life. A further research for this association was warranted.

Highlights

  • Arecaidine, guvacoline and guvacine were the main alkaloids of betel nut and caused several systemic effects including nervous, cardiovascular, gastrointestinal and endocrine system[4,5,6,7]

  • The health examinations at Tri-Service General Hospital (TSGH) were consisted of comprehensive medical records including laboratory biochemistry data, body composition measurement and self-reported personal history. 69226 participants aged more than 20 years underwent health examinations from 2010 to 2016

  • All covariables were significantly associated with the presence of colorectal polyps, except albumin

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Summary

Objectives

Our aim was to determine whether betel nut had detrimental impact on the development of colorectal polyps in general population.

Methods
Results
Discussion
Conclusion
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