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Helicobacter pylori infection is positively associated with an increased BMI, irrespective of socioeconomic status and other confounders: a cohort study.

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TLDR
A positive association between H. pylori infection and an increased BMI is found among individuals who were referred to a 13C-UBT by primary care physician, after adjusting for multiple covariates including SES.
Abstract
BACKGROUND Data on the association of Helicobacter pylori infection and BMI are conflicting. The fact that both H. pylori infection and BMI are associated with low socioeconomic status (SES) makes this relationship difficult to characterize. MATERIALS AND METHODS We aimed to evaluate the association between BMI and H. pylori infection after adjusting for multiple covariates. We analyzed a cohort of 235 107 individuals aged 18 years or older, who performed a C urease breath test (C-UBT), from 2007 to 2014. Data on BMI, age, sex, SES, ethnicity, and medications were extracted from a nationwide population-based database. BMIs were classified according to the WHO recommendations: underweight ( 35 kg/m). STUDY RESULTS The positivity rate for H. pylori among underweight, normal weight, overweight, and obese class I and class II or more was 55.6, 58.5, 63.0, 64.5, and 65.5%, respectively (P<0.001, Plinear trend 0.007). The association between BMI and H. pylori infection was significant across all SES, sex, ethnicity, and age categories. After adjusting for age, sex, ethnicity, and SES, being overweight and obese class I and class II or more were associated significantly with H. pylori positivity: odds ratio 1.13 [95% confidence interval (CI): 1.11-1.15], 1.14 (95% CI: 1.11-1.17), and 1.15 (95% CI: 1.11-1.19), respectively, P value less than 0.001 for all. CONCLUSION Among individuals who were referred to a C-UBT by primary care physician, after adjusting for multiple covariates including SES, we found a positive association between H. pylori infection and an increased BMI.

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Relationship between Helicobacter pylori infection and obesity in Chinese adults: A systematic review with meta-analysis

TL;DR: The prevalence of H. pylori infection in Chinese adult subjects who received routine physical examinations and the relationship between H.pylori and obesity were evaluated to evaluate the association with obesity in China.
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What Is New in Helicobacter pylori Diagnosis. An Overview.

TL;DR: In this paper, a comprehensive panorama on the new diagnostic tools and their potential use in clinical settings, in order to accomplish specific recommendations is presented, in which the authors attempt to offer a comprehensive overview of the potential use of these tools.
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Gut Microbiota: The Missing Link Between Helicobacter pylori Infection and Metabolic Disorders?

TL;DR: In this paper, the role of gut microbiota as the linking factor between H. pylori infection and metabolic diseases is discussed, and the impact that gut bacterial modulation by H.pylori eradication treatment can also have in host's metabolism.
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The association between Helicobacter pylori and obesity: a systematic review and meta-analysis of case–control studies

TL;DR: In this article, the authors conducted a meta-analysis of case-control studies reporting the effect of H. pylori infection on the development of obesity and vice versa. And the results showed that there was a positive correlation between the risk of infection and the prevalence of obesity development.
References
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Journal Article

The prevalence of Helicobacter pylori infection in different countries.

TL;DR: The prevalence of Helicobacter pylori infection in a community is related to three factors: firstly, the rate of acquisition of infection with H.pylori--that is, incidence; secondly, the rates of loss of the infection; and thirdly,The prolonged persistence of the bacterium in the gastroduodenal mucosa between infection and eradication.
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Accuracy of invasive and noninvasive tests to diagnose Helicobacter pylori infection.

TL;DR: The noninvasive UBT and IgG serology test are as accurate in predicting H. pylori status in untreated patients as the invasive tests of CLO and Warthin-Starry.
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Limits of body mass index to detect obesity and predict body composition.

TL;DR: Measurement of body fat is a more appropriate way to assess obesity in people with a BMI below 30 kg/m2, as the greatest variability in the prediction of percentage of bodyfat and body fat divided by height (m2) from regression equations using BMI was at a BMIbelow 30 kg /m2.
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Importance of childhood socioeconomic status on the current prevalence of Helicobacter pylori infection.

TL;DR: The increased prevalence of H pylori in black and Hispanic people seems to be related to low socioeconomic status in childhood, which is consistent with the suggestion that childhood is a period of major risk for Hpylori infection.
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Ghrelin Gene Products and the Regulation of Food Intake and Gut Motility

TL;DR: Ghrelin is the only protein to be octanylated, and inhibition of GOAT may have effects only on the stomach and is unlikely to affect the synthesis of other proteins, which may provide a critical molecular target in developing novel therapeutics for obesity and type 2 diabetes.
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