Estimating the prevalence of active Helicobacter pylori infection in a rural community with global positioning system technology-assisted sampling

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Abstract

We investigated a possible outbreak of H. pylori in a rural Northern Plains community. In a cross-sectional survey, we randomly sampled 244 households from a geocoded emergency medical system database. We used a complex survey design and global positioning system units to locate houses and randomly selected one eligible household member to administer a questionnaire and a 13C-urea breath test for active H. pylori infection (n = 166). In weighted analyses, active H. pylori infection was detected in 55·0% of the sample. Factors associated with infection on multivariate analysis included using a public drinking-water supply [odds ratio (OR) 12·2, 95% confidence interval (CI) 2·9-50·7] and current cigarette smoking (OR 4·1, 95% CI 1·7-9·6). People who lived in houses with more rooms, a possible indicator of decreased crowding in the home, were less likely to have active H. pylori infections (OR 0·7, 95% CI 0·5-0·9 for each additional room). © 2012 Cambridge University Press.

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Melius, E. J., Davis, S. I., Redd, J. T., Lewin, M., Herlihy, R., Henderson, A., … Cheek, J. E. (2013). Estimating the prevalence of active Helicobacter pylori infection in a rural community with global positioning system technology-assisted sampling. Epidemiology and Infection, 141(3), 472–480. https://doi.org/10.1017/S0950268812000714

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