biostudies-literatureUnknown14(9)Zhou Y<h4>Objectives</h4><i>Helicobacter pylori</i> (<i>H. pylori</i>) infection causes a variety of intragastric and extragastric diseases. Despite its decreasing global prevalence, it remains a major public health problem in many developing countries. This study aimed to understand the prevalence of <i>H. pylori</i> infection and its risk factors in five cities of the Ningxia Hui Autonomous Region, an area with high incidence of gastric cancer.<h4>Methods</h4>Cross-sectional studies were conducted in Ningxia from 2017 and 2022, to detect the prevalence of <i>H. pylori</i> using the ¹⁴C urea breath test. All participants completed a questionnaire that included demographics, personal habits, household economic characteristics, and previous health status. Multiple logistic regression aAmerican journal of translational research6647-6658https://www.ebi.ac.uk/biostudies/studies/S-EPMC9556490biostudies-literaturePrevalence and risk factors of <i>Helicobacter pylori</i> infection in Ningxia, China: comparison of two cross-sectional studies from 2017 and 2022.PMC9556490Yao LYou YLiu JHu SZhang DHao QShi RMa LQi HFeng YGao HZhou YLi XLi YChen XNiu MTang YDeng YBai FfalsePrevalence and risk factors of <i>Helicobacter pylori</i> infection in Ningxia, China: comparison of two cross-sectional studies from 2017 and 2022.<h4>Objectives</h4><i>Helicobacter pylori</i> (<i>H. pylori</i>) infection causes a variety of intragastric and extragastric diseases. Despite its decreasing global prevalence, it remains a major public health problem in many developing countries. This study aimed to understand the prevalence of <i>H. pylori</i> infection and its risk factors in five cities of the Ningxia Hui Autonomous Region, an area with high incidence of gastric cancer.<h4>Methods</h4>Cross-sectional studies were conducted in Ningxia from 2017 and 2022, to detect the prevalence of <i>H. pylori</i> using the ¹⁴C urea breath test. All participants completed a questionnaire that included demographics, personal habits, household economic characteristics, and previous health status. Multiple logistic regression a2022-01-01T00:00:00Z20222025-04-18T22:38:21.689Z2025-04-07T10:25:36.585ZS-EPMC955649036247252