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. 2013 Mar;141(3):472-80.
doi: 10.1017/S0950268812000714. Epub 2012 May 17.

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

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

E J Melius et al. Epidemiol Infect. 2013 Mar.

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).

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Figures

Fig. 1
Fig. 1
[colour online]. The relationship between urea breath test status with age and with factors for household crowding in an American Indian population, 2005–2006. 95% Confidence intervals are shown.

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