Current status and influencing factors of Helicobacter pylori infection in rural population of Kunshan city
Objective To investigate the infection of Helicobacter pylori(H.pylori)and its influencing factors in rural registered population in Kunshan,so as to provide the basis for the prevention and control of H.pylori.Methods In this cross-sectional study,the registered residence of 30-70 years old from 8 villages(communities)in Jinxi Town,Kunshan city,who met the inclusive and exclusive criteria were randomly selected by cluster sampling.The infection of H.pylori was detected by 14C-urea breath test.Demographic and lifestyle factors were collected by trained interviewers with face-to-face structured questionnaire.Univariate and multivariate logistic regression analyses were used to explore the associations between demographic and lifestyle factors and H.pylori infection.Results A total of 8 722 participants were enrolled in this study.The prevalence of H.pylori was 44.58％among the participants.The prevalence of H.pylori was 42.50％(1 657/3 898)in males and 46.27％(2 232/4 824)in females.Univariate analysis showed that there were statistically significant differences in the H.pylori infection rate among populations of different ages,genders,marital status,BMI,washing hands before meals,and smoking(P＜0.05).Logistic regression analysis showed that age,gender,and BMI were the main influencing factors for H.pylori infection in rural populations in Kunshan city.The risks of H.pylori infection in adults aged 40-49 years,50-59 years and≥60 years were 1.613 times(95％Cl:1.281-2.031,P＜0.001),1.575 times(95％Cl:1.263-1.965,P＜0.001)and 1.307 times(95％Cl:1.047-1.630,P=0.018)than those in adults aged less than 40 years.The risk of H.pylori infection in females was 1.132 times higher than that in males(95％Cl:1.003-1.277,P=0.045).The risk of H.pylori infection in overweight/obese individuals was 1.291 times higher than that in lean individuals(95％Cl:1.026-1.625,P=0.030).Conclusion The infection rate of H.pylori among rural registered population in Kunshan reaches the national average.Operational intervention strategies should be developed for people of different ages,genders and BMI.
万方数据
维普
