Helicobacter pylori infection and insulin resistance in a screening population: frequentist and Bayesian analyses
Authors' conclusion
The association between H. pylori and insulin resistance is fully explained by socioeconomic and lifestyle confounding. H. pylori acts as a marker of adverse metabolic risk rather than a causal factor
Study context
- Population
- Asymptomatic adults in a European screening cohort (2007–2020); median age 57; 52% male
- Participants
- 4,681 adults
- Exposure
- H. pylori-positive vs H. pylori-negative
- H. pylori-positiven = 868
- Outcome
- Insulin resistance (HOMA-IR > 2.5)
Methodological detailsfrequentist and Bayesian analyses, sequential confounder adjustment
- Frequentist and Bayesian analyses
- Sequential confounder adjustment
Main finding
As reported in the abstract
H. pylori-positive vs H. pylori-negativeIncidence rate ratio (95% CI)P value
Unadjusted
1.15(1.01–1.32)
Fully adjusted (age, sex, education, alcohol, smoking, diet)
1.12(0.95–1.31)
P = 0.176- Bayesian probability of practical equivalence
- 87.9%
Observational data: associations, not effects.
Secondary outcomes
Metabolic syndrome (ATP III criteria)
- No association with metabolic syndrome
- IRR 1.03; P = 0.681
Bayesian analysis of insulin resistance
- Probability of practical equivalence
- 87.9%
Original publication
Helicobacter pylori infection and insulin resistance in a screening population: frequentist and Bayesian analyses. J Clin Endocrinol Metab. Published 17 August 2026. doi:10.
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