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Keywords:

  • Helicobacter pylori;
  • seroepidemiology;
  • risk factors;
  • children;
  • Brazil

Abstract

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgements and Disclosures
  7. References

Background: Helicobacter pylori infection has been proved to be of great relevance to public health in unindustrialized countries, especially in low socioeconomic groups. Poor hygiene, deficient sanitation, and crowded conditions have been reported as risk factors for this infection. In this work, we investigated whether social and demographic characteristics were associated with anti-H. pylori IgG antibodies in 1104 children aged 4–11 years old from Salvador, a large city located in northeastern Brazil.

Methods:  Standardized questionnaires were used to obtain social, demographic, and environmental data for the studied population in two periods of time (from 1997 to 2003 and in 2005). Anti-H. pylori IgG antibodies were assessed by indirect enzyme-linked immunosorbent assay in 2005.

Results:  Anti-H. pylori IgG antibody was present in 28.7% of the children. Among the studied variables, the following were positively associated with the presence of anti-H. pylori antibodies in multivariable analyses: age above 8 years old (OR = 1.72, 95% CI = 1.23–2.40), a larger sibling number (OR = 1.66, 95% CI = 1.26–2.18), nursery attendance (OR = 1.49, 95% CI = 1.04–2.12), location of the house at an unpaved street (OR = 2.03, 95% CI = 1.44–2.87) and absence of a flush toilet (OR = 1.32, 95% CI = 1.00–1.74).

Conclusion:  Our data show that H. pylori infection in children from a major Brazilian city is associated with variables indicative of a crowded environment and deficient sanitation/habitation conditions, leading to the conclusion that improvements in hygiene and social conditions may protect children against this infection.

Helicobacter pylori is a spiral Gram negative bacterium that colonizes the human stomach [1] and is the main cause of peptic ulcer [2], gastric adenocarcinoma and primary gastric lymphoma [1,3] in adulthood. It has been found to infect more than half of the world’s population [4]. The presence of H. pylori in saliva, dental plaque [5], and feces [6] and the lack of significant evidence of nonhuman or environmental reservoirs [7] indicate that person-to-person spreading is probably a major transmission mechanism of this infection. There is also clear evidence that H. pylori infection is primarily acquired early in life [8,9]. Poor hygiene standards, crowded households and deficient sanitation are important to both acquisition of infection in childhood and spreading of the disease within households [10,11].

The improvement of hygiene conditions has significantly decreased the prevalence of this infection in many parts of North America and Europe [12]. Unfortunately, very high disease prevalence persist in developing countries [13], where H. pylori seroprevalences may exceed 50% in children and over 90% in adults [14–18].

In Brazil, epidemiological studies of H. pylori infection have revealed high prevalences of the infection among adults [19,20], similar to the results of studies in other developing countries [16]. Moreover, Braga et al. have reported a 40% seroprevalence in children under 6 years of age from a low income population [21].

Considering that the epidemiology of this infection is still quite poorly studied in Brazil, the main objective of this study was to estimate the seroprevalence and potential risk factors for H. pylori infection in a large children cohort from Salvador, a city located in northeastern Brazil. A seroprevalence of 28.7% was found. In addition, conditions indicative of poor sanitation/habitation and of crowded households were significantly associated with a positive serology for anti-H. pylori antibodies.

Materials and Methods

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgements and Disclosures
  7. References

Study Population

This prospective study was conducted in the city of Salvador, in the Brazilian Northeast region, which has a population of 2.8 million people. Three baseline surveys were carried out in 1997, 2000, and 2003, allowing different children, born between 1994 and 2001, to be recruited and then followed-up. These three surveys were part of a study aimed at evaluating the impact of a sanitation programme on the incidence of childhood diarrhea [22]. In these baseline surveys, demographic and social data, which are used in this study, were collected using a standardized questionnaire. In 2005, 1445 of these children were resurveyed, as detailed elsewhere [23]. Briefly, social and demographic information were recollected and the presence of specific antibodies against several pathogens, including H. pylori, in sera prepared from small volume blood samples, was investigated by enzyme-linked immunosorbent assay (ELISA). The data obtained from these children were used to evaluate whether the presence of positive serology in 2005 was associated with exposures to potential risk factors assessed in the 2005 and/or in the previous (1997, 2000, and 2003) surveys. Informed consent was obtained from the children’s parents or guardians. Ethical approval was granted by the Instituto de Saúde Coletiva at Universidade Federal da Bahia and the National Commission on Ethics in Research (CONEP), Brazil.

Potential Risk Factors for H. pylori Infection

The following variables collected in the baseline surveys between 1997 and 2003 were analyzed as potential risk factors for H. pylori infection (an outcome that was revealed in the 2005 survey): treated piped water at home; flooded house during the rainy season; presence of a flush toilet; house served by a paved road; open sewage nearby; frequency of rubbish collection. The following variables from the 2005 survey were also investigated as potential risk factors: maternal schooling; meat intake (how often the child has eaten chicken, beef or pork); vegetable intake (how often the child has eaten vegetables); presence of older sibling, number of siblings; whether the child attended nursery; presence of rodents, flies, dogs or cats at home; treated piped water at home; house served by a paved road; type of waste disposal system. The child’s sex and age (in 2005) were treated as a priori confounders.

Serological Detection of Anti-H. pylori IgG

The presence of these antibodies in blood samples collected in 2005 was determined by ELISA using a commercially available kit (Diamedix, Miami, FL, USA), following the directions provided by the supplier. The cut-off was determined by an index value obtained by the ratio of sample absorbance to the absorbance of a calibrator (a solution containing human serum or defibrinated plasma, with IgG antibodies weakly reactive with H. pylori and 0.1% sodium azide). A ratio >1.1 was considered positive. Borderline subjects were removed from the analysis.

Statistical Analysis

Only children for whom complete data were available were included in the analysis. We first performed a bivariable analysis between each potential risk factor and outcome. Second, we built a multivariable model with standard logistic regression including only significant variables from the bivariable analysis. Then, we assessed each nonsignificant variable a second time by including each one in the model (one at a time). If the variable remained nonsignificant, it was completely removed from the analysis. Each time that one variable became significant, it was kept in the model, and all remaining nonsignificant variables were reassessed each one at a time. This process was repeated until no variables remained to be assessed. The association between outcome and risk factors was estimated with odds ratio and 95% confidence interval.

Results

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgements and Disclosures
  7. References

Among the original 1445 children in the 2005 survey, 1104 had complete data sets and were used in the analysis. No differences were found between the excluded and the studied population in relation to the studied variables and outcome (data not shown). The prevalence of anti-H. pylori IgG antibodies was 28.7%. The characteristics of the studied population are shown in Table 1. The mean age plus the standard deviation was 6.8 ± 0.5 years old. Approximately, half (580) of the studied children were male (52.5%) and 347 (31.4%) of the mothers had completed a high school degree. With regard to opportunity of frequent contact with other children, 424 (38.4%) had two or more siblings, 683 (61.9%) had at least one older sibling and 174 (15.8%) had attended nursery school for some time. About 494 (44.7%) consumed meat frequently (≥3 times a week) and 866 (78.4%) consumed vegetables at least once a week. Most of the subjects reported the presence of rodents and flies at home. With respect to living conditions, 443 (40.1%) did not live in houses on streets with pavement, in any of the years of the surveys (from 1997 to 2005); 888 (80.4%) had treated piped water available at home in all investigated periods; 456 (37.5%) reported the absence of a toilet and 179 (16.2%) had no sewage system at home; 517 (46.8%) reported open sewage near the house; and 339 (30.7%) had their houses flooded during the rainy season.

Table 1.   Sociodemographic and environmental characteristics of the study population: 1104 children analyzed
Study variablesn(%)
  1. SD, standard deviation.

  2. aIf the house floods in the rainy season.

Gender (male)58052.5
Age, years (mean, SD)6.800.5
Mother’s schooling
 Illiterate or primary complete51646.9
 Secondary education complete24121.8
 High school complete34731.4
Number of siblings (≥2)42438.4
Older sibling (yes)68361.9
Nursery attendance (yes)17415.8
Smoking at home (yes)30827.9
Mother smoked during the child’s first year (yes)12010.9
Beef intake (≥3 times weekly)49444.7
Vegetable intake (≥1 times weekly)86678.4
Dog at home (yes)43839.7
Cat at home (yes)19017.2
Rodents in the home (yes)62957.0
Flies in the home (yes)55149.9
House served by a paved road
 Never44340.1
 Only in 1997–200328325.6
 Only in 2005756.8
 1997–2003 and 200530327.4
Treated piped water
 Never333.0
 Only in 1997–2003494.4
 Only in 200513412.1
 1997–2003 and 200588880.4
Lack of a flush toilet41137.2
Lack of a sewage system17916.2
Presence of open sewer nearby (yes)51746.8
Existence of rubbish collection (<1 time per week)84276.3
Possibility of a flooded housea (yes)33930.7

In the bivariable (uncontrolled) analysis, the following variables were significantly associated with an increased prevalence of H. pylori infection: age (OR = 1.53, 95% CI = 1.11–2.11); number of siblings (OR = 1.71, 95% CI = 1.31–2.23); nursery attendance (OR = 1.42, 95% CI = 1.01–2.00); meat intake (OR = 1.55, 95% CI = 1.05–2.31); whether the house was served by an unpaved road (OR = 1.71, 95% CI = 1.23–2.38); and the presence/absence of flush toilet at home (OR = 1.32, 95% CI = 1.01–1.73) (Tables 2 and 3).

Table 2.   Association between sociodemographic characteristics and Helicobacter pylori infection, using bivariate analyses (1104 children)
Study variablesH. pylori infection 317 (28.7%)
n/N%OR (95% CI)a
  1. OR, odds ratio; CI, confidence interval.

  2. *Significant value (p < .05).

  3. aOR and CI 95% of crude analysis.

  4. bHow often did the child eat meat (chicken, beef, pork)?

  5. cHow often did the child eat vegetables?

Gender
 Female143/52427.31
 Male174/58030.01.14 (0.88–1.48)
Age class
 <6106/42025.21
 6–7105/37328.21.16 (0.85–1.59)*
 ≥8106/31134.11.53 (1.11–2.11)*
Mother’s schooling
 Illiterate or primary complete159/51630.81
 Secondary education complete67/34127.80.87 (0.62–1.21)
 High school complete91/24726.20.80 (0.59–1.08)
Number of siblings
 <2166/68024.41
 ≥2151/42435.61.71 (1.31–2.23)*
Older sibling
 No115/42127.31
 Yes202/68329.61.12 (0.85–1.46)
Nursery attendance
 No256/93027.51
 Yes61/17435.11.42 (1.01–2.00)*
Smoking at home (anyone)
 No235/79629.51
 Yes82/30826.60.87 (0.65–1.16)
Mother smoked during the child’s first year
 No275/98427.91
 Yes42/12035.01.39 (0.93–2.07)
Beef intakeb
 Rare41/18721.91
 1–2 times weekly126/42329.81.51 (1.01–2.26)*
 ≥3 times weekly150/49430.41.55 (1.05–2.31)*
Vegetable intakec
 ≥1 times weekly257/86629.71
 Rare60/23825.20.80 (0.58–1.11)
Table 3.   Associations between environmental characteristics and Helicobacter pylori infection, using bivariate analyses (1104 children)
Study variablesH. pylori infection 317 (28.7%)
n/N%OR (95% CI)a
  1. OR, odds ratio; CI, confidence interval.

  2. *Significant value (p < .05).

  3. aOR and CI 95% of crude analysis.

Flies in the home
 No or rare160/55328.91
 Yes157/55128.50.98 (0.75–1.27)
Rodents in the home
 No137/47528.81
 Yes180/62928.61.00 (0.76–1.29)
Cat at home
 No260/91428.41
 Yes57/19030.01.08 (0.77–1.52)
Dog at home
 No196/66629.41
 Yes121/43827.60.92 (0.70–1.20)
Paved road (1997–2003 and 2005)
 All periods72/30323.81
 One period91/35825.41.09 (0.77–1.56)
 Neither period154/44334.81.71 (1.23–2.38)*
Piped water (1997–2003 and 2005)
 All periods256/88828.81
 One period51/18327.90.95 (0.67–1.36)
 Neither period10/3330.31.07 (0.50–2.29)
Flush toilet
 Yes184/69326.61
 No133/41132.41.32 (1.01–1.73)*
Sewage system
 Yes263/92528.41
 No54/17930.21.09 (0.77–1.54)
Open sewer nearby
 No169/58728.81
 Yes148/51728.60.99 (0.76–1.29)
Rubbish collection
 ≥1 per week252/84229.91
 <1 per week65/26224.80.77 (0.56–1.06)
Flooded house
 No222/76529.01
 Yes95/33928.00.95 (0.72–1.27)

The variables that kept a statistically significant association with H. pylori infection in the multivariable (final) model are shown in Table 4. A significant higher prevalence was found in older than in younger children (adjusted OR = 1.72, 95% CI = 1.23–2.40). The existence of two or more siblings (adjusted OR = 1.66, 95% CI = 1.26–2.18), or nursery attendance (adjusted OR = 1.49, 95% CI = 1.04–2.12) were also positively associated with H. pylori infection. Those children who lived in a house not served by a paved street in all studied years (1997–2005) had higher chance of being infected than children living in houses served by paved road at the whole period (adjusted OR = 2.03, 95% CI = 1.44–2.87). Finally, children living in a house without a flush toilet were proportionally more infected that those who lived in a house with flush toilet (adjusted OR = 1.32, 95% CI = 1.00–1.74).

Table 4.   Multivariable analysis between exposure variables and Helicobacter pylori infection (1104 children)
Study variablesH. pylori infection 317 (28.7)
n/N(%)Final model OR (95% CI)
  1. OR, odds ratio; CI, confidence interval; *significant value ( p < .05).

Gender
 Female143/52427.31
 Male174/58030.01.11 (0.85–1.45)
Age
 ≤5106/42025.21
 6–7105/37328.21.08 (0.78–1.49)
 ≥8106/31134.11.72 (1.23–2.40)*
Number of siblings
 <2166/68024.41
 ≥2151/42435.61.66 (1.26–2.18)*
Nursery attendance
 No256/93027.51
 Yes61/17435.11.49 (1.04–2.12)*
Paved road (1997–2003 and 2005)
 All periods72/30323.81
 One period91/35825.41.14 (0.79–1.64)
 Neither period154/44334.82.03 (1.44–2.87)*
Flush toilet
 Yes184/69326.61
 No133/41132.41.32 (1.00–1.74)*

Discussion

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgements and Disclosures
  7. References

The overall prevalence of H. pylori infection found in the studied population was 28.7%. This in accordance to what might be expected, although the prevalence of H. pylori infection has decreased in some countries [24], it varies from country to country, affecting mainly the less affluent population [25]. Thus, Elitsur et al. have shown that H. pylori infection affected 12% of asymptomatic children in USA [12], whereas, in developing countries, this infection has shown seroprevalence rates higher than 40% in asymptomatic children [11].

The variables studied in the present work that had the significance of their associations with H. pylori infection retained in the multivariate model and therefore, could be considered as potential risk factors for that infection were: age, number of siblings, nursery attendance, living in paved road, and flush toilet.

Gender has not been identified as a relevant characteristic for H. pylori acquisition in this or in other studies which have investigated this infection in childhood [8,26], although, in adult populations, male gender has been significantly associated with H. pylori infection [27]. Similar to other findings [28], the current study showed H. pylori infection increasing with the children’ age. The fact that 62.3% of the H. pylori seropositive children identified in this study were younger than 8 years old supports the hypothesis that in developing countries the acquisition of H. pylori infection can occur in early childhood [25]. Once acquired, an untreated H. pylori infection can become lifelong [29] and lead to the development of atrophic gastritis and metaplasia, which are risk factors for the development of gastric cancer [30].

Although the education level of the mother is a socioeconomic indicator and is considered a reliable marker of the estimated level of household hygiene, this variable was not associated with the prevalence of H. pylori infection in our study. This indicator and other socioeconomic markers such as family income and parents’ occupation have been negatively associated with H. pylori infection in other studies [28]. However, another household hygiene marker that was studied in the current work was the absence of a flush toilet in the house. This absence was associated with infection, supporting the hypothesis that the fecal–oral route may be an important mechanism of transmission of this bacterium [31,32].

Although no significant association was found between treated piped water and H. pylori infection, the ingestion of contaminated water is considered a likely mode of acquisition, independent of socioeconomic status [33]. Many studies have investigated the influence of water source as an important risk factor for H. pylori acquisition [28,34]. In an adult Indian population, for example, the prevalence was significantly higher (88.2%) among subjects with low clean water index (CWI), when compared to those with high CWI (33.3%) [34].

Variables pertaining to food intake were also assessed. Although meat intake was significantly associated in the uncontrolled analysis, in the multivariable model, neither meat nor vegetable intake showed to be potential risk factors for acquisition of this infection. To the best of our acknowledge, there are no reports on the association of these variables with acquisition of H. pylori infection, although once these foods are contaminated because of inadequate hygiene, the bacteria may survive long enough to cause infection [35]. As reported by Hopkins et al., people who have uncooked vegetable consumption habits were more infected by H. pylori than those who do not have them [36].

Number of siblings and nursery attendance were positively associated with H. pylori infection in our study. These variables may reflect crowding, which has been reported as one of the major risk factors for H. pylori infection [37,38].

Unlike other studies, it was also investigated whether the house location (served by paved road or not) is a relevant factor for the acquisition of H. pylori infection. This variable was identified as a potential risk factor for infection, indicating that contaminated soil may also be a source of infection [39].

Concluding, this study supports the hypothesis that H. pylori infection in children is highly related to poor hygiene and crowded conditions. This may explain why this infection is more prevalent in nonaffluent countries and populations. Thus, improvement in hygiene habits and basic sanitary conditions could help this and other similar populations to decrease H. pylori infection prevalence in childhood.

Acknowledgements and Disclosures

  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgements and Disclosures
  7. References

This study is funded by The Wellcome Trust, UK, HCPC Latin America Excellence Centre Programme, Ref. 072405/Z/03/Z. The Brazilian agencies CAPES and CNPQ provided scholarships for the authors of this work.

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  1. Top of page
  2. Abstract
  3. Materials and Methods
  4. Results
  5. Discussion
  6. Acknowledgements and Disclosures
  7. References
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