Abstract
Objective
To investigate the potential determinants of Helicobacter pylori infection between adults 21–65 years old.
Methods
Data are from the initial screening visit of a randomized clinical trial of three antibiotic regimens to eradicate H. pylori, conducted in seven sites (Santiago–Chile, Túquerres–Colombia, Guanacaste–Costa Rica, Copán–Honduras, Obregón and Tapachula–México, León–Nicaragua). Thousand eight hundred and fifty-nine adults from the general population were screened for H. pylori infection using an urea breath test (UBT) and were interviewed to assess socioeconomic-, demographic-, and symptom-related characteristics. Logistic regression was used to assess the relationship between these characteristics and H. pylori positivity at enrollment.
Results
Among the 1,852 eligible participants for whom a conclusive UBT result was obtained, H. pylori prevalence was 79.4 %, ranging from 70.1 to 84.7 % among the seven centers. Prevalence did not differ by sex (female: 78.4, male: 80.9; p = 0.20) or age (p = 0.08). H. pylori positivity increased with increasing number of siblings (p trend <0.0001). Participants with education beyond 12 years were less likely to be UBT-positive (OR 0.4: 0.3–0.6, compared to participants with 0–6 years of schooling) as were those employed outside the home (OR 0.7: 0.6–1.0). Odds of H. pylori infection increased with the presence of certain living conditions during childhood including having lived in a household with an earth floor (OR 1.8: 1.4–2.4), lack of indoor plumbing (OR 1.3: 1.0–1.8) and crowding (OR 1.4: 1.0–1.8, for having more than two persons per bedroom). Regarding current household conditions, living with more than 3 children in the household (OR 1.7: 1.2–2.5) and crowding (OR 1.8: 1.3–2.3) were associated with H. pylori infection.
Conclusions
The prevalence of H. pylori in adults was high and differed significantly among the six Latin American countries studied (p < 0.001). Our findings confirm the strong link between poor socioeconomic conditions and H. pylori infection.
Keywords: Helicobacter pylori, Infection, Prevalence, Risk factors, Determinants, Epidemiology
Introduction
Helicobacter pylori (H. pylori) is a gram negative microaerophilic bacillus found in the human stomach, where it can induce chronic inflammation of the gastric mucosa. Infection with H. pylori is acquired early in the childhood and if not treated may persist throughout a person’s lifetime [1, 2]. Despite H. pylori being present in more than 50 % of the world’s population, only a small proportion of infected individuals develop clinically significant disease, including duodenal or gastric ulcers, gastric cancer, and gastric mucosa-associated lymphoid tissue lymphoma (MALT) [3–5].
The exact mechanisms of H. pylori transmission are unknown and are probably multiple. However, the most likely mode of transmission is by direct person-to-person contact, via oral–fecal, gastro–oral, and oral–oral route [6]. Factors related to living conditions, particularly during childhood, are associated with H. pylori infection. These include low socioeconomic status, increasing number of siblings, and decreasing height and weight [7–10]. Some studies have shown that host genetics may also play a role in the acquisition and persistence of infection [2].
Although H. pylori infection is ubiquitous worldwide, the prevalence of infection varies among and within countries. This has been attributed to differences in the rate of acquisition of H. pylori in childhood. As a consequence of improvements in living conditions, the prevalence of infection is declining in developed countries, while remaining high, about 80 %, in the developing world [7].
We conducted a randomized phase III clinical trial of three antibiotic regimens to eradicate H. pylori in six Latin American countries. Trial participants were screened for H. pylori infection with a urea breath test and completed a detailed risk factor questionnaire, offering the unique opportunity to investigate the epidemiology of H. pylori infection in Latin America where there is limited information on prevalence and determinants of this infection.
Methods
The study protocol and informed consent were approved by the institutional review boards of each study site and the SWOG Statistical Center in Seattle, WA, USA. Details of the trial methods of the trial have been described elsewhere [11]. Briefly, between September 2009 and June 2012, potential participants from the seven study regions were screened for H. pylori infection positivity using a urea breath test (UBT) to assess their eligibility for participation in the trial. In Colombia, participants were recruited in Túquerres, a rural village of approximately 20,000 people in the Andes (the Nariño region). In the north of Mexico, the study staff worked with a local midwife to recruit participants from two villages whose inhabitants belong to the Yaqui Tribe in the state of Sonora. In the south of Mexico, the participants came from both the cities of Tapachula and rural communities in the mountains to the north of the city. The Chilean participants were recruited from a low-income neighborhood in Santiago. Participants in Honduras came from small, rural villages surrounding Santa Rosa del Copán, while the Nicaragua center recruited participants in León, the fourth largest city in the country. In Costa Rica participants were recruited in Hojancha, Guanacaste from the urban center of the town and from surrounding rural areas.
Individuals were identified in Colombia, Costa Rica, and Nicaragua from a census of households, in Chile from a list of individuals served by a large public primary care clinic and in Honduras and Mexico by house-to-house invitation within the local community or through announcements at primary care clinics. Clinical study staff contacted identified individuals and scheduled an initial screening visit. At the clinic, they were asked to provide written informed consent and were screened for eligibility to the randomized trial. To be eligible, individuals had to have no history of prior treatment for H. pylori, had to be willing to avoid alcohol and anti-acid medications for 2 weeks, had to have not used antibiotic or proton pump inhibitors in the past 30 days, and if female, could not be pregnant or nursing. Individuals were excluded if they were allergic to any of the study medications or had serious illnesses.
Individuals who met the eligibility criteria were interviewed to obtain information about socioeconomic and demographic characteristics, history of alcohol use and smoking, and current and childhood conditions (at age 10) in the household. The Spanish language version of the Rome III diagnostic questionnaire was administered to assess a detailed gastrointestinal-symptom history. Height and weight were obtained, and participants performed a UBT by exhaling into foil balloons at two time points, baseline and 30 min after consuming a 75 mg dose of 13C-labeled urea dissolved in water. Trained staff at each study center analyzed the breath samples using an infrared mass spectrometry device (IRIS, Wagner Analysen Technik, Bremen, Germany) that detected the conversion of 13C-labeled urea to labeled carbon dioxide by the urease of H. pylori. The result was considered positive if a change relative to baseline was ≥4.0 %.
Analyses were based on 1,852 eligible patients that had a conclusive baseline UBT result. Socio-demographic, body mass index, current smoking and alcohol use characteristics, symptoms of chronic dyspepsia, and household conditions (current and during childhood at age 10) were evaluated as possible determinants of H. pylori infection. Household crowding was calculated as the number of people in the household divided by the number of sleeping rooms, and overcrowding was defined as >2 persons per sleeping room [12]. Chi-square and Fisher’s exact tests were used to assess differences in H. pylori prevalence for factors of interest. Logistic regression was used to calculated age-, sex- and study center-adjusted odds ratios (OR) and 95% confidence intervals (CIs). Individuals with missing information for the characteristic evaluated were excluded from the logistic regression. Chi-square drop-in-deviance tests were used to evaluate the significance of factors that had more than two levels.
Analyses were performed using SAS 9.2 and R 2.14.0.
Results
Of the 1,852 individuals analyzed, 60 % were women (median age = 41.6 years), and 40 % were men (median age = 42.6 years). Five percent never attended school and 60 % completed 7 or more years of school. According to the World Health Organization (WHO) classification for body mass index (BMI) [13], 35.6 % of individuals were overweight (BMI ≥ 25 kg/m2), and 23.8 % were obese (BMI ≥ 30 kg/m2). Seventeen percent currently smoked and only 8 % currently drank. Twenty-five percent of the subjects had symptoms of chronic dyspepsia, and 36 % reported the use of antibiotics within the past year.
Overall H. pylori prevalence as determined by UBT was 79.4 % (95% CI 77.5–81.2) and did not differ significantly by sex (female: 78.4 %, male: 80.9 %; p = 0.195) or age (p = 0.076). H. pylori prevalence did, however, differ significantly by study center (p < 0.001), ranging from 70.1 % in Tapachula to 84.7 % in Obregón (Table 1).
Table 1.
Characteristics | Number of individuals | % H. pylori positive | p value χ2 | Prevalence by study center
|
||||||
---|---|---|---|---|---|---|---|---|---|---|
Tapachula, México | Obregón, México | Copán, Honduras | Guanacaste, Costa Rica | León, Nicaragua | Santiago, Chile | Túqueres, Colombia | ||||
Overall | 1,852 | 79.4 | ||||||||
Study Center | <0.001 | |||||||||
Tapachula, México | 301 | 70.1 | ||||||||
Obregón, México | 249 | 84.7 | ||||||||
Copán, Honduras | 259 | 82.6 | ||||||||
Guanacaste, Costa | 272 | 77.6 | ||||||||
Rica | ||||||||||
León, Nicaragua | 240 | 83.3 | ||||||||
Santiago, Chile | 276 | 76.8 | ||||||||
Túqueres, Colombia | 255 | 83.1 | ||||||||
Gender | 0.195 | |||||||||
Female | 1,108 | 78.4 | 69.2 | 86.6 | 81.8 | 73.6 | 79.6 | 77.4 | 81.3 | |
Male | 744 | 80.9 | 72.0 | 76.6 | 84.6 | 83.2 | 85.7 | 76.2 | 85.3 | |
p value χ2 | 0.611 | 0.085 | 0.579 | 0.061 | 0.213 | 0.81 | 0.39 | |||
Age, years | 0.076 | |||||||||
20–29 | 328 | 75.6 | 60.3 | 90.6 | 83.6 | 73.2 | 78.1 | 64.0 | 88.9 | |
30–39 | 506 | 82.8 | 79.6 | 82.7 | 88.2 | 79.0 | 81.0 | 86.7 | 83.3 | |
40–49 | 483 | 78.3 | 70.4 | 88.1 | 75.4 | 73.0 | 82.9 | 79.2 | 77.8 | |
50+ | 535 | 79.6 | 64.1 | 79.3 | 80.7 | 83.8 | 88.4 | 77.4 | 84.1 | |
p value Fisher | 0.043 | 0.384 | 0.241 | 0.332 | 0.503 | 0.073 | 0.513 |
Age-, sex-, and study center-adjusted logistic regression (Table 2) revealed that odds of H. pylori infection increased with increasing number of siblings (p for trend <0.0001). Participants with education beyond 12 years were less likely to be UBT-positive (OR 0.41: 0.29–0.59; compared to participants with 0–6 years of schooling), also those employed outside of home had a lower adjusted OR for H. pylori detection (OR 0.73: 0.56–0.96). Odds of infection were not associated with body mass index, current smoking or alcohol use, and use of antibiotics in the past year or chronic dyspeptic symptoms.
Table 2.
Characteristics | Number of individualsa | % H. pylori positive | Adjusted ORb | (95 % CI) |
---|---|---|---|---|
Total individuals | 1,852 | 79.4 | ||
Study center | ||||
Tapachula, México | 301 | 70.1 | 1.00 | |
Obregón, México | 249 | 84.7 | 2.43 | (1.60–3.75) |
Copán, Honduras | 259 | 82.6 | 2.04 | (1.37–3.08) |
Guanacaste, Costa Rica | 272 | 77.6 | 1.46 | (1.00–2.13) |
León, Nicaragua | 240 | 83.3 | 2.04 | (1.34–3.14) |
Santiago, Chile | 276 | 76.8 | 1.37 | (0.94–2.01) |
Túqueres, Colombia | 255 | 83.1 | 2.06 | (1.37–3.13) |
Gender | ||||
Female | 1,108 | 78.4 | 1.00 | |
Male | 744 | 80.9 | 1.18 | (0.93–1.51) |
Age, years | ||||
20–29 | 328 | 75.6 | 1.00 | |
30–39 | 506 | 82.8 | 1.53 | (1.08–2.17) |
40–49 | 483 | 78.3 | 1.12 | (0.80–1.57) |
50+ | 535 | 79.6 | 1.24 | (0.89–1.73) |
p for trend | 0.98 | |||
Number of siblings | ||||
≤3 | 323 | 74.3 | 0.54 | (0.38–0.76) |
4–6 | 664 | 78.0 | 0.67 | (0.51–0.89) |
7+ | 817 | 83.2 | 1.00 | |
p for trend | <0.0001 | |||
Years of school | ||||
0–6 | 688 | 83.1 | 1.00 | |
7–9 | 299 | 79.3 | 0.73 | (0.51–1.05) |
10–12 | 335 | 83.0 | 0.91 | (0.63–1.33) |
13+ | 309 | 68.9 | 0.41 | (0.29–0.59) |
Employment status | ||||
Working at home | 897 | 82.2 | 1.00 | |
Employed outside of home | 939 | 77.4 | 0.73 | (0.56–0.96) |
Body mass indexc | ||||
Normal (below 18.5) | 617 | 80.7 | 1.00 | |
Underweight (18.5–24.9) | 26 | 92.3 | 2.87 | (0.83–18.08) |
Overweight (25–29.9) | 660 | 80.9 | 1.06 | (0.80–1.43) |
Obese (30 and above) | 441 | 79.6 | 0.95 | (0.69–1.33) |
Current smoker | ||||
No | 1,523 | 79.7 | 1.00 | |
Yes | 304 | 79.6 | 0.95 | (0.68–1.34) |
Current drinker | ||||
No | 1,685 | 79.5 | 1.00 | |
Yes | 142 | 82.4 | 1.15 | (0.73–1.89) |
Antibiotic use (within past year) | ||||
No | 1,167 | 80.0 | 1.00 | |
Yes | 667 | 79.5 | 1.06 | (0.83–1.35) |
Chronic dyspepsia | ||||
Absent | 1,388 | 79.1 | 1.00 | |
Present | 464 | 80.4 | 1.09 | (0.84–1.43) |
Numbers vary because of missing values for some characteristics
Adjusted for study center, age, and gender. Individuals with missing information for the variable evaluated were excluded
The standard weight status categories associated with BMI ranges for adults were established based on the categorization of the WHO (World Health Organization)
Furthermore, odds of H. pylori infection were strongly associated with the presence of certain living conditions during childhood (Table 3). Individuals whose childhood homes had an earth floor were significantly more likely to be UBT-positive (OR 1.79: 1.37–2.36), and those who had lived in a home that lacked indoor plumbing had 1.3-fold increase in H. pylori infection compared with individuals whose home had indoor plumbing. Having lived in crowded conditions increased the odds of infection (OR 1.36: 1.03–1.79, for having more than two persons per bedroom). Other living conditions during childhood, including having had a toilet inside the home, electricity, or three or more children living in the household were not associated with H. pylori infection.
Table 3.
Characteristics | Number of individualsa | % H. pylori positive | Adjusted ORb | (95 % CI) |
---|---|---|---|---|
Total individuals | 1,852 | 79.4 | ||
Household conditions, at age 10 | ||||
Flooring material | ||||
Earth | 871 | 84.2 | 1.79 | (1.37–2.36) |
Other | 951 | 75.8 | 1.00 | |
Indoor plumbing | ||||
Yes | 788 | 77.8 | 1.00 | |
No | 1,034 | 81.3 | 1.33 | (1.00–1.77) |
Private toiled | ||||
No | 524 | 83.8 | 1.00 | |
Yes | 1,302 | 78.1 | 0.76 | (0.49–1.16) |
Electricity | ||||
Yes | 1,068 | 78.4 | 1.00 | |
No | 754 | 81.7 | 1.24 | (0.92–1.67) |
Children in household | ||||
<3 | 749 | 77.6 | 1.00 | |
≥3 | 1,019 | 81.4 | 1.23 | (0.97–1.56) |
Overcrowded housing | ||||
No | 460 | 76.1 | 1.00 | |
Yes | 1,306 | 81.1 | 1.36 | (1.03–1.79) |
Household conditions, current | ||||
Flooring material | ||||
Earth | 271 | 85.2 | 1.32 | (0.86–2.04) |
Other | 1,562 | 78.8 | 1.00 | |
Indoor plumbing | ||||
Yes | 1,389 | 78.9 | 1.00 | |
No | 444 | 82.4 | 1.24 | (0.85–1.84) |
Private toiled | ||||
No | 523 | 83.8 | 1.00 | |
Yes | 1,311 | 78.1 | 0.77 | (0.50–1.17) |
Electricity | ||||
Yes | 1,729 | 79.3 | ||
No | 103 | 86.4 | 1.39 | (0.76–2.72) |
Children in household | ||||
<3 | 1,525 | 78.4 | 1.00 | |
≥3 | 295 | 86.4 | 1.69 | (1.19–2.46) |
Overcrowded housing | ||||
No | 1,131 | 76.8 | 1.00 | |
Yes | 696 | 84.8 | 1.75 | (1.33–2.32) |
Numbers vary because of missing values for some characteristics
Adjusted for study center, age, and gender. Individuals with missing information for the variable evaluated were excluded
Among current household conditions, having at least three children in the household (OR 1.69: 1.19–2.46) and crowded conditions (OR 1.75: 1.33–2.32) were associated with H. pylori infection.
We also examined the significance of key risk factors separately within study center. Similar patterns emerged, though numbers were too small to draw any formal conclusions.
Discussion
We assessed the prevalence and determinants of H. pylori infection in 1,852 adults (21–65 years old) within six Latin American countries. Although gastric cancer incidence for these six countries varies widely, 7.9 (Mexico), 14.4 (Nicaragua), 17.4 (Colombia), 17.9 (Chile), 21.8 (Costa Rica), and 26.6 (Honduras) (age-standardized gastric cancer incidence rates per 100,000 for both sexes, GLOBOCAN 2008) [14], H. pylori prevalence was high, above 70 %, in all seven study areas. The prevalence ranged from 70.1 to 84.7 % and did not differ by age or gender. While it has been suggested that acquisition of H. pylori is decreasing in younger cohorts as a consequence of improvements in hygiene [7, 15–17], we did not observe a significantly lower H. pylori prevalence for the youngest participants (21–29 years old) in our study suggesting that a reduction of the incidence rates of gastric cancer-H. pylori related would not be expected in the near decades for these Latin American countries.
Individual characteristics and living conditions related to lower socioeconomic status were positively associated with H. pylori infection in our analyses, and our data confirmed previous reports that infection is more common among individuals with limited schooling and with more siblings [7–10, 18, 19].
Because H. pylori infection is typically acquired in childhood, our data regarding participants’ household conditions at age ten offer insights into the mechanisms of acquisition. Having had a home with an earth floor, lack of indoor plumbing and crowding (having more than two persons per bedroom) during childhood was strongly associated with infection, indicating that poor socioeconomic status, limited sanitary facilities, and poor hygienic conditions may contribute to the acquisition of the bacterium. This is consistent with studies conducted in children that have found that H. pylori infection is highly related to poor hygiene and crowded conditions [20–23]. Having an external source of water may be also a marker of poverty, but we cannot rule it out as a direct source of infection, as has been reported by several studies [6, 24–27].
Current household conditions, including more than three children in the household and crowding, were positively associated with infection. Also, participants unemployed or working at home were more likely to be UBT-positive. These findings may indicate the occurrence of repeated transmission of H. pylori (same or different strain) between the individuals who live in the same household, due to a greater opportunity of personal contact, helping to maintain a high H. pylori prevalence during adulthood. Evidence of intrafamilial transmission comes from studies reporting strain concordance between parents and children or between siblings, and there is evidence supporting transmission between spouses [28–31]. Schwarz et al. [32] reported that H. pylori from persons living in the same household were more similar than those from individuals that live in different households. The same study also reported that in areas of high prevalence of H. pylori, opportunities for horizontal transmission (from individuals outside the household) are higher. On the other hand, reinfection and recrudescence may occur after eradication therapy, supporting the acquisition of the bacteria during adulthood [33, 34].
Our results are based on the urea breath test, a highly sensitive and specific measure of active infection [35, 36]. Our study has a broad geographic coverage within Latin America; however, our findings may have limited external validity because selection of individuals was strictly population-based in only three of the seven study centers. Nevertheless, even with the substantial cultural, geographic, and socioeconomic diversity among our participating Latin American centers, the prevalence of H. pylori was generally similar for all study centers, and the pattern for determinants of infection did not differ significantly among centers. Another limitation of our study is that we were not able to characterize the bacterial strains or the presence of host genetic factors in the different countries that could explain the differences in gastric cancer risk.
In conclusion, our results confirm the high prevalence of H. pylori in Latin America and the strong link between poor socioeconomic conditions and H. pylori infection. These findings may offer opportunities for further scientific discovery and approaches for prevention of H. pylori infection.
Acknowledgments
The Bill & Melinda Gates Foundation provided financial support for the trial, and the National Institutes of Health (Grant number CA037429) supported the SWOG administrative and statistical infrastructure. The authors express special gratitude to the men and women of the six Latin American countries who took part of the screening visit of the clinical trial and recognize the many contributions of the investigative team members: SWOG Statistical Center, Seattle, WA, USA—Vanessa Bolejack, Susie Carlin, Dacia Christin, Evonne Lackey, and Rachael Sexton; Division of Gastroenterology, University of North Carolina, Chapel Hill, CA, USA— Paris Heidt; Universidad del Valle, Cali, Colombia—Luz Stella García, Yolanda Mora; Hospital Regional de Occidente, Santa Rosa de Copán, Honduras—Jean Paul Higuero, Glenda Jeanette Euceda Wood, Lesby Maritza Castellanos; Pontificia Universidad Católica de Chile, Santiago, Chile—María Paz Cook, Paul Harris, Antonio Rollán; Fundación INCIENSA, San José, Costa Rica—Silvia Jiménez, Paula González, Ana Cecilia Rodríguez, Lidiana Morera, Blanca Cruz Reyes; Instituto Nacional de Salud Pública, Cuernavaca, Mexico—Rogelio Danis, Erika Marlen Hurtado Salgado, María del Pilar Hernández Neváres; Instituto Tecnológico de Sonora, Ciudad Obregón, Mexico—Myriam Bringas, Araceli Molina, Claudia Osorio, María de Jesús López Valenzuela; Centro de Investigación en Demografía y Salud, León, Nicaragua— Yesenia Zapata; and also Charles A Coltman, David S Alberts, and Jesse Nodora for their help during the course of the study.
Footnotes
Conflict of interest
The authors declare that they have no conflict of interest.
Contributor Information
Carolina Porras, Email: cporras@proyectoguanacaste.org, Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, Torre La Sabana, 300 mts. Oeste del ICE, planta baja frente al Lobby, Sabana Norte, San Jose, Costa Rica.
Jesse Nodora, University of California San Diego, San Diego, CA, USA.
Rachael Sexton, SWOG Statistical Center, Cancer Research and Biostatistics, Seattle, WA, USA.
Catterina Ferreccio, Departamento de Salud Pública, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Silvia Jimenez, Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, Torre La Sabana, 300 mts. Oeste del ICE, planta baja frente al Lobby, Sabana Norte, San Jose, Costa Rica.
Ricardo L. Dominguez, Hospital Regional de Occidente, Santa Rosa de Copán, Honduras
Paz Cook, Departamento de Salud Pública, Escuela de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Garnet Anderson, SWOG Statistical Center, Cancer Research and Biostatistics, Seattle, WA, USA, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Douglas R. Morgan, Division of Gastroenterology, University of Michigan Medical School, Ann Arbor, MI, USA
Laurence H. Baker, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA
E. Robert Greenberg, SWOG Statistical Center, Cancer Research and Biostatistics, Seattle, WA, USA, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Rolando Herrero, Proyecto Epidemiológico Guanacaste, Fundación INCIENSA, Torre La Sabana, 300 mts. Oeste del ICE, planta baja frente al Lobby, Sabana Norte, San Jose, Costa Rica, Prevention and Implementation Group, International Agency for Research on Cancer, World Health Organization, Lyon, France.
References
- 1.Kusters JG, van Vliet AH, Kuipers EJ. Pathogenesis of Helicobacter pylori infection. Clin Microbiol Rev. 2006;19(3):449–490. doi: 10.1128/CMR.00054-05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mbulaiteye SM, Hisada M, El-Omar EM. Helicobacter Pylori associated global gastric cancer burden. Front Biosci. 2009;14:1490–1504. doi: 10.2741/3320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Atherton JC, Blaser MJ. Coadaptation of Helicobacter pylori and humans: ancient history, modern implications. J Clin Invest. 2009;119(9):2475–2487. doi: 10.1172/JCI38605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.McColl KE. Clinical practiceHelicobacter pylori infection. N Engl J Med. 2010;362(17):1597–1604. doi: 10.1056/NEJMcp 1001110. [DOI] [PubMed] [Google Scholar]
- 5.Polk DB, Peek RM., Jr Helicobacter pylori: gastric cancer and beyond. Nat Rev Cancer. 2010;10(6):403–414. doi: 10.1038/nrc2857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Vale FF, Vitor JM. Transmission pathway of Helicobacter pylori: does food play a role in rural and urban areas? Int J Food Microbiol. 2010;138(1–2):1–12. doi: 10.1016/j.ijfoodmicro.2010.01.016. [DOI] [PubMed] [Google Scholar]
- 7.Brown LM. Helicobacter pylori: epidemiology and routes of transmission. Epidemiol Rev. 2000;22(2):283–297. doi: 10.1093/oxfordjournals.epirev.a018040. [DOI] [PubMed] [Google Scholar]
- 8.Ford AC, Forman D, Bailey AG, Goodman KJ, Axon AT, Moayyedi P. Effect of sibling number in the household and birth order on prevalence of Helicobacter pylori: a cross-sectional study. Int J Epidemiol. 2007;36(6):1327–1333. doi: 10.1093/ije/dym201. [DOI] [PubMed] [Google Scholar]
- 9.Goodman KJ, Correa P. Transmission of Helicobacter pylori among siblings. Lancet. 2000;355(9201):358–362. doi: 10.1016/S0140-6736(99)05273-3. [DOI] [PubMed] [Google Scholar]
- 10.Woodward M, Morrison C, McColl K. An investigation into factors associated with Helicobacter pylori infection. J Clin Epidemiol. 2000;53(2):175–181. doi: 10.1016/s0895-4356(99)00171-7. [DOI] [PubMed] [Google Scholar]
- 11.Greenberg ER, Anderson GL, Morgan DR, Torres J, Chey WD, Bravo LE, Dominguez RL, Ferreccio C, Herrero R, Lazcano-Ponce EC, Meza-Montenegro MM, Pena R, Pena EM, Salazar-Martinez E, Correa P, Martinez ME, Valdivieso M, Goodman GE, Crowley JJ, Baker LH. 14-day triple, 5-day concomitant, and 10-day sequential therapies for Helicobacter pylori infection in seven Latin American sites: a randomised trial. Lancet. 2011;378(9790):507–514. doi: 10.1016/S0140-6736(11)60825-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.The United Kingdom Office of the Deputy Prime Minister. The impact of overcrowding on health & education: a review of evidence and literature. Office of the Deputy Prime Minister Publications; 2004. extracted from http://www.huduser.org/publications/pdf/Measuring_Overcrowding_in_Hsg.pdf. [Google Scholar]
- 13.World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. WHO technical report series 894. 2000 [PubMed]
- 14.GLOBOCAN. International Agency for Research on Cancer (IARC) 2008 http://globocan.iarc.fr.
- 15.Correa P, Piazuelo MB. Natural history of Helicobacter pylori infection. Dig Liver Dis. 2008;40(7):490–496. doi: 10.1016/j.dld.2008.02.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Everhart JE. Recent developments in the epidemiology of Helicobacter pylori. Gastroenterol Clin North Am. 2000;29(3):559–578. doi: 10.1016/s0889-8553(05)70130-8. [DOI] [PubMed] [Google Scholar]
- 17.Tkachenko MA, Zhannat NZ, Erman LV, Blashenkova EL, Isachenko SV, Isachenko OB, Graham DY, Malaty HM. Dramatic changes in the prevalence of Helicobacter pylori infection during childhood: a 10-year follow-up study in Russia. J Pediatr Gastroenterol Nutr. 2007;45(4):428–432. doi: 10.1097/MPG. 0b013e318064589f. [DOI] [PubMed] [Google Scholar]
- 18.Goh KL, Chan WK, Shiota S, Yamaoka Y. Epidemiology of Helicobacter pylori infection and public health implications. Helicobacter. 2011;16(Suppl 1):1–9. doi: 10.1111/j.1523-5378.2011.00874.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Shi R, Xu S, Zhang H, Ding Y, Sun G, Huang X, Chen X, Li X, Yan Z, Zhang G. Prevalence and risk factors for Helicobacter pylori infection in Chinese populations. Helicobacter. 2008;13(2):157–165. doi: 10.1111/j.1523-5378.2008.00586.x. [DOI] [PubMed] [Google Scholar]
- 20.Dattoli VC, Veiga RV, da Cunha SS, Pontes-de-Carvalho LC, Barreto ML, Alcantara-Neves NM. Seroprevalence and potential risk factors for Helicobacter pylori infection in Brazilian children. Helicobacter. 2010;15(4):273–278. doi: 10.1111/j.1523-5378. 2010.00766.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Fialho AM, Braga AB, Braga Neto MB, Carneiro JG, Rocha AM, Rodrigues MN, Queiroz DM, Braga LL. Younger siblings play a major role in Helicobacter pylori transmission among children from a low-income community in the Northeast of Brazil. Helicobacter. 2010;15(6):491–496. doi: 10.1111/j.1523-5378.2010.00791.x. [DOI] [PubMed] [Google Scholar]
- 22.Queiroz DM, Carneiro JG, Braga-Neto MB, Fialho AB, Fialho AM, Goncalves MH, Rocha GA, Rocha AM, Braga LL. Natural history of Helicobacter pylori infection in childhood: eight-year follow-up cohort study in an urban community in northeast of Brazil. Helicobacter. 2011;17(1):23–29. doi: 10.1111/j.1523-5378.2011. 00894.x. [DOI] [PubMed] [Google Scholar]
- 23.Siai K, Ghozzi M, Ezzine H, Medjahed N, Azzouz MM. Prevalence and risk factors of Helicobacter pylori infection in Tunisian children: 1055 children in Cap-Bon (northeastern Tunisia) Gastroenterol Clin Biol. 2008;32(11):881–886. doi: 10.1016/j. gcb.2008.03.021. [DOI] [PubMed] [Google Scholar]
- 24.Bellack NR, Koehoorn MW, MacNab YC, Morshed MG. A conceptual model of water’s role as a reservoir in Helicobacter pylori transmission: a review of the evidence. Epidemiol Infect. 2006;134(3):439–449. doi: 10.1017/S0950268806006005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Fujimura S, Kato S, Watanabe A. Water source as a Helicobacter pylori transmission route: a 3-year follow-up study of Japanese children living in a unique district. J Med Microbiol. 2008;57(Pt 7):909–910. doi: 10.1099/jmm.0.47683-0. [DOI] [PubMed] [Google Scholar]
- 26.Nurgalieva ZZ, Malaty HM, Graham DY, Almuchambetova R, Machmudova A, Kapsultanova D, Osato MS, Hollinger FB, Zhangabylov A. Helicobacter pylori infection in Kazakhstan: effect of water source and household hygiene. Am J Trop Med Hyg. 2002;67(2):201–206. doi: 10.4269/ajtmh.2002.67.201. [DOI] [PubMed] [Google Scholar]
- 27.Sasaki K, Tajiri Y, Sata M, Fujii Y, Matsubara F, Zhao M, Shimizu S, Toyonaga A, Tanikawa K. Helicobacter pylori in the natural environment. Scand J Infect Dis. 1999;31(3):275–279. doi: 10.1080/00365549950163572. [DOI] [PubMed] [Google Scholar]
- 28.Escobar ML, Kawakami E. Evidence of mother-child transmission of Helicobacter pylori infection. Arq Gastroenterol. 2004;41(4):239–244. doi: 10.1590/s0004-28032004000400008. [DOI] [PubMed] [Google Scholar]
- 29.Kivi M, Tindberg Y, Sorberg M, Casswall TH, Befrits R, Hellstrom PM, Bengtsson C, Engstrand L, Granstrom M. Concordance of Helicobacter pylori strains within families. J Clin Microbiol. 2003;41(12):5604–5608. doi: 10.1128/JCM.41.12.5604-5608.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Perry S, de la Luz Sanchez M, Yang S, Haggerty TD, Hurst P, Perez–Perez G, Parsonnet J. Gastroenteritis and transmission of Helicobacter pylori infection in households. Emerg Infect Dis. 2006;12(11):1701–1708. doi: 10.3201/eid1211.060086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zhou H, Chan KL, Chu KM, Tam PK. Intrafamilial spread of Helicobacter pylori: a prospective study using urea breath test. J Pediatr Surg. 2000;35(11):1672–1675. doi: 10.1053/jpsu.2000.18349. [DOI] [PubMed] [Google Scholar]
- 32.Schwarz S, Morelli G, Kusecek B, Manica A, Balloux F, Owen RJ, Graham DY, van der Merwe S, Achtman M, Suerbaum S. Horizontal versus familial transmission of Helicobacter pylori. PLoS Pathog. 2008;4(10):e1000180. doi: 10.1371/journal.ppat.1000180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ryu KH, Yi SY, Na YJ, Baik SJ, Yoon SJ, Jung HS, Song HJ. Reinfection rate and endoscopic changes after successful eradication of Helicobacter pylori. World J Gastroenterol. 2010;16(2):251–255. doi: 10.3748/wjg.v16.i2.251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Niv Y. H pylori recurrence after successful eradication. World J Gastroenterol. 2008;14(10):1477–1478. doi: 10.3748/wjg.14.1477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Gisbert JP, Pajares JM. Review article: 13C-urea breath test in the diagnosis of Helicobacter pylori infection—a critical review. Aliment Pharmacol Ther. 2004;20(10):1001–1017. doi: 10.1111/j. 1365-2036.2004.02203.x. [DOI] [PubMed] [Google Scholar]
- 36.Savarino V, Vigneri S, Celle G. The 13C urea breath test in the diagnosis of Helicobacter pylori infection. Gut. 1999;45(Suppl 1):I18–I22. doi: 10.1136/gut.45.2008.i18. [DOI] [PMC free article] [PubMed] [Google Scholar]