Abstract:Objective To analyze the influencing factors of chronic atrophic gastritis diagnosed by gastroscopy based on living habits and cytochrome P4501A1 (CYP1A1) gene polymorphism.Methods A total of 118 patients with chronic atrophic gastritis diagnosed by gastroscopy in our hospital from May 2023 to May 2024 were included in the chronic atrophic gastritis group, and another 120 patients with chronic non-atrophic gastritis diagnosed by gastroscopy during the same period were included in the chronic non-atrophic gastritis group. Clinical data, lifestyle, gastroscopy and CYP1A1 gene polymorphism were compared between the two groups. The risk factors of chronic atrophic gastritis diagnosed by gastroscopy were analyzed by multivariate Logistic regression, and the regression equation was established. Receiver operating characteristic curve (ROC curve) was drawn to analyze the predictive value of the regression equation for the diagnosis of chronic atrophic gastritis by gastroscopy.Results Multivariate Logistic analysis showed that Helicobacter pylori infection, family history of gastritis, fast eating, hot eating, insomnia, CYP1A1 genotype G/G were the risk factors for the diagnosis of chronic atrophic gastritis by gastroscopy (P < 0.05). The above factors were included in the regression equation: Logit (P) = -8.252 + Helicobacter pylori infection × 0.741 + family history of gastritis × 0.636 + fast food × 0.595 + hot food ×0.754 + insomnia × 0.791 + CYP1A1 genotype G/G × 0.752. According to the regression equation, ROC curve was drawn to predict the occurrence of chronic atrophic gastritis diagnosed by gastroscopy. The results showed that when Logit (P) > 0.727, the sensitivity was 87.29%, the specificity was 86.67%, and the area under the curve (AUC) was 0.922.Conclusion The influencing factors of chronic atrophic gastritis diagnosed by gastroscopy include Helicobacter pylori infection, family history of gastritis, fast food, hot food, insomnia, CYP1A1 genotype G/G, the establishment of the regression equation is effective, which can lay a foundation for screening high-risk patients and formulating preventive interventions.