# Effect of Helicobacter Pylori Infection on Nutritional Status in Polish Teenagers

Authors: Anna Szaflarska-Popławska; Anetta Soroczyńska-Wrzyszcz
Journal: Gastroenterology Research and Practice
 (2021)

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## Abstract

Purpose. Data on an association between Helicobacter pylori (H. pylori) and nutritional status in children are conflicting. We designed a large-sampled prospective community-based study to examine the differences in average body indices among Polish teenagers depending on their H. pylori status. Methods. From September 2008 to June 2015, 3067 second junior high school students aged between 13 and 17 years (mean age: 14.5) from 11 randomly selected schools from Grudziadz, Poland, were recruited. For the cohort, 13C urea breath test for current H. pylori infection was performed and data on anthropometric measurements and sociodemographic characteristics were collected. Z scores of height for age (HAZ), weight for age (WAZ), and BMI for age (BMIZ) were calculated. Results. The H. pylori colonisation rate was 23.6% with no gender difference. Compared to noninfected, H. pylori infected had significantly lower mean WAZ (0.0085) and BMIZ scores (p=0.0246). Univariate linear regression models showed that living in the old town district and consumption of tap water were negative predictors of HAZ, living in the old town district, using collective catering facilities, and H. pylori infection were negative predictors of WAZ, and using collective catering facilities and H. pylori infection were negative predictors of BMIZ. In the multiple regression analyses, living in the old town district (p=0.0039), using collective catering facilities (p<0.0001), and H. pylori infection (p=0.0269) were confirmed to be independently associated with lower WAZ, whereas using collective catering facilities (p<0.0001) and H. pylori infection (p=0.0265) were confirmed to be independently associated also with lower BMIZ. Conclusion. Our finding confirms the evidence on independent negative influence of H. pylori infection on nutritional status in Polish teenagers.


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## Body

## 1. Introduction

Helicobacter pylori (H. pylori) is the most common chronic bacterial infection as it affects approximately one-third of children worldwide. Most infections are commonly acquired in childhood. Furthermore, in most, if not all, infected individuals, H. pylori causes chronic gastritis that in children seems to be mainly antrum-predominant. Unlike adults, most infected children remain asymptomatic. Only a minority develop duodenal and gastric ulcer [1]. The question whether H. pylori infection plays a role in nutritional status of affected children in numerous research studies has been examined, but results were inconsistent. Given these controversial data, we designed a large-sampled prospective community-based study to examine the differences in average body indices among Polish teenagers depending on their H. pylori status.


## 2. Materials and Methods

The study was conducted in Grudziadz, an industrial city in north-central part of Poland with a population about 100,000 residents. A selection of the city for the research was associated with the source of financial coverage (the City Council of Grudziadz) and the city-level socioeconomic variation. The city is divided into 7 new districts and 6 old districts. Living in the old district reflects a combination of lower household income, higher unemployment rate, and lower educational level of parents, as well as poorer housing condition and lower level of hygiene and sanitation when compared to the new city district.In this prospective cross-sectional study conducted between September 1, 2008, and June 30, 2015, 3375 second junior high school students from eleven randomly selected secondary schools from Grudziadz, Poland, were recruited. A total of 3241 participants aged between 13 and 17 years (mean age: 14.5), who signed an informed consent, were investigated for body height, weight, andH. pylori status. Moreover, data on sociodemographic and hygiene practices with use of a self-completed questionnaire were collected. The questionnaire was divided into three main sections as follows: (a) sociodemographic variables (gender, age, residence area, and household crowding), (b) clinical symptoms, and (c) hygiene practices (consumption of raw vegetables, raw meat, tap water, using collective catering facilities, washing hands after coming back home, using a toilet, contact with animals and before meal, owing a dog, a cat, or both). Of these 3241 subjects, 1892 (58.4%) were girls and 1349 (41.6%) were boys. Of these 3241 subjects, 13C urea breath test results were obtained from 3067 participants, who were eligible for the final analysis.In the group, 67 of 3067 (2.2%) were older than 16 years and 1382 (45.1%) lived in old city districts. Collective catering facilities were used by 734 (27.5%) questionnaire responders. Consumption of raw vegetables, raw meat, and tap water was self-reported by 1735 (56.6%), 365 (11.9%), and 835 (27.2%) participants, respectively. Hand washing after coming back home, before meal, after using the toilet, and after contact with animals was not practiced by 842 (27.5%), 590 (19.2%), 170 (5.5%), and 1053 (34.4%) participants, respectively. Owing a cat, a dog, or both was reported by 336 (11%), 1070 (34.9%), and 259 (8.4%) questionnaire responders, respectively.For the cohort,13C urea breath test (UBT) for current H. pylori infection was performed using HeliFAN plus analyzer (Fischer Analysen Instrumente GmbH). The protocol of the test was consistent with the manufacturer’s specifications. A validation of the test was conducted once a year with the use of samples of known gas concentration. The accepted variation in the test results between tested and standardized samples was below 10% as recommended. Breath samples before and 30 minutes after the intake of 75 mg of 13C-labeled urea were collected. The final result was expressed as the difference between the two scores, delta over baseline (DOB). The cut-off point was 4.0. A result equal to or higher than 4.0 DOB was considered positive for H. pylori infection. All participants tested positive for UBT were offered upper gastrointestinal endoscopy with multiple gastric biopsies. All children with histologically confirmed H. pylori-related lesions were scheduled for the empiric eradication therapy.


### 2.1. Anthropometric Measurements and Indices

Anthropometric measurements were performed by trained registered nurses. Body weight was measured using a digital scale (calibrated before use), and body height was measured by a stadiometer. The calculation of BMI (body mass index) was performed on the basis of height and weight measurements (kg/m2). Height-for-age, weight-for-age, and BMI-for-age were expressed as Z scores. Z scores of height for age (HAZ), weight for age (WAZ), and BMI for age (BMIZ) were calculated using the formula: Zscore=observedvalue–medianvalueofthereferencepopulation/standarddeviationvalueofreferencepopulation. The calculations were based on the 2010 Polish growth reference charts.


### 2.2. Statistical Analysis

The mean and the standard deviation of HAZ, WAZ, and BMIZ scores forH. pylori-infected and H. pylori-noninfected groups were calculated. Due to great differences in number of participants in the groups, U-Mann–Whitney test to compare HAZ, WAZ, and BMIZ scores between groups was used. A linear regression was used with HAZ, WAZ, and BMIZ as the outcome, and the independent variables were age, sex, and selected sociodemographic and hygienic characteristics. The selected independent variables were combined to generate the regression function. Using a stepwise approach through backward elimination, beginning with a model that included all predictors, candidate predictors from the saturated model based on their statistical significance (Wald test p>0.05) were excluded. Nonlinear relations between outcome and continuous predictors were considered by identifying, at each iterative step of the stepwise process, the best fitting fractional polynomial terms. This model development process led to a final model for the prediction of HAZ, WAZ, and BMIZ based on the selected predictors along with their corresponding estimated β coefficients and the associated intercept term. Statistical analyses were performed using TIBCO Statistica® 13.3.0 and R, version 3.3.2 (R Foundation for Statistical Computing, Vienna, Austria). All tests were considered statistically significant at p value less than 0.05.The study was approved by Bioethics Committee of Nicolaus Copernicus University in Toruń (KB 490/2008). The informed consent was obtained from each study participant and signed by a parent/caregiver for children below 16 years and by both a parent and a child aged 16 years and older.


## 2.1. Anthropometric Measurements and Indices

Anthropometric measurements were performed by trained registered nurses. Body weight was measured using a digital scale (calibrated before use), and body height was measured by a stadiometer. The calculation of BMI (body mass index) was performed on the basis of height and weight measurements (kg/m2). Height-for-age, weight-for-age, and BMI-for-age were expressed as Z scores. Z scores of height for age (HAZ), weight for age (WAZ), and BMI for age (BMIZ) were calculated using the formula: Zscore=observedvalue–medianvalueofthereferencepopulation/standarddeviationvalueofreferencepopulation. The calculations were based on the 2010 Polish growth reference charts.


## 2.2. Statistical Analysis

The mean and the standard deviation of HAZ, WAZ, and BMIZ scores forH. pylori-infected and H. pylori-noninfected groups were calculated. Due to great differences in number of participants in the groups, U-Mann–Whitney test to compare HAZ, WAZ, and BMIZ scores between groups was used. A linear regression was used with HAZ, WAZ, and BMIZ as the outcome, and the independent variables were age, sex, and selected sociodemographic and hygienic characteristics. The selected independent variables were combined to generate the regression function. Using a stepwise approach through backward elimination, beginning with a model that included all predictors, candidate predictors from the saturated model based on their statistical significance (Wald test p>0.05) were excluded. Nonlinear relations between outcome and continuous predictors were considered by identifying, at each iterative step of the stepwise process, the best fitting fractional polynomial terms. This model development process led to a final model for the prediction of HAZ, WAZ, and BMIZ based on the selected predictors along with their corresponding estimated β coefficients and the associated intercept term. Statistical analyses were performed using TIBCO Statistica® 13.3.0 and R, version 3.3.2 (R Foundation for Statistical Computing, Vienna, Austria). All tests were considered statistically significant at p value less than 0.05.The study was approved by Bioethics Committee of Nicolaus Copernicus University in Toruń (KB 490/2008). The informed consent was obtained from each study participant and signed by a parent/caregiver for children below 16 years and by both a parent and a child aged 16 years and older.


## 3. Results

Seven hundred and twenty-three participants (23.6%) had a positive13C UBT results (Hp (+)) and 2344 subjects (76.4%) had a negative 13C UBT results (Hp (-)) with no statistically significant difference in 13C-UBT positivity between males and females.The mean (M) and standard deviation (SD) of HAZ, WAZ, and BMIZ scores in children tested positive and negative for H. pylori are presented in Table 1. Compared to noninfected, H. pylori infected had lower mean HAZ, WAZ, and BMIZ scores with WAZ and BMIZ scores being statistically significant.Table 1
Comparison of HAZ, WAZ, and BMIZ scores inHelicobacter pylori-negative and -positive children.
VariableHpNMeanSDpHAZHp (-)23440.221.05930.0602Hp (+)7230.141.1600WAZHp (-)23440.091.00280.0085Hp (+)723-0.021.0121BMIZHp (-)23440.010.99180.0246Hp (+)723-0.080.9451Univariate linear regression models showed that living in the old town district and consumption of tap water were negative predictors of HAZ, whereas washing hands after coming home, toilet, and contact with animals were positively associated with HAZ. A negative association between HAZ andH. pylori positivity was of borderline statistical significance (Table 2). Multiple analyses revealed that only one variable, i.e., washing hands after toilet was independently associated with HAZ (Table 3).Table 2
Unadjusted parameter estimate (β) with standard errors (SE) of HAZ according to sociodemographic and hygienic characteristics.
VariableβSEpMale sex-0.030.020.1049Age13 years0.030.010.119914 years-0.110.190.569715 years-0.170.180.367916 years-0.110.060.061417 years-0.0100.9378Living in the old town district-0.060.020.0006Consumption of raw vegetables0.010.020.3932Consumption of raw meat-0.030.020.1293Consumption of unboiled water-0.040.020.0183Using collective catering facilities-0.020.020.3689Washing hands after coming home0.060.020.0008Washing hands before eating0.020.020.3655Washing hands after toilet0.040.020.0323Washing hands after contact with animals0.040.020.0171Owing a cat0.010.020.4801Owing a dog-0.030.020.077Owing a cat and a dog00.020.7061Helicobacter pylori infection-0.030.020.0602Table 3
Multiple regression models for HAZ, WAZ, and BMIZ.
VariableR2Effectβ standSEβ stand95% CIpHAZ0.010Washing hands after toilet0.050.020.000.070.0203WAZ0.017Male sex0.090.020.050.12<0.0001Living in the old town district-0.050.02-0.09-0.020.0039Using collective catering facilities-0.080.02-0.11-0.04<0.0001Helicobacter pylori infection-0.040.02-0.08-0.040.0269BMIZ0.025Male sex0.120.020.080.15<0.0001Consumption of unboiled water0.060.020.020.090.0009Using collective catering facilities-0.090.02-0.12-0.05<0.0001Helicobacter pylori infection-0.040.020.070.000.0265In the univariate linear regression models, living in the old town district, using collective catering facilities andH. pylori infection were negative predictors of WAZ (Table 4). These three variables were confirmed in the multiple regression analyses to be independently associated with lower WAZ. Male sex was the only factor positively associated with WAZ in both univariate linear and multiple regression analyses (Table 3).Table 4
Unadjusted parameter estimate (β) with standard errors (SE) of WAZ according to sociodemographic and hygienic characteristics.
VariableβSEpMale sex0.090.02<0.0001Age13 years00.020.774814 years-0.070.180.704815 years-0.150.180.424816 years-0.060.050.279117 years00.020.9000Living in the old town district-0.050.020.0066Consumption of raw vegetables0.020.020.1518Consumption of raw meat00.020.9486Consumption of unboiled water0.030.020.0787Using collective catering facilities-0.060.020.0003Washing hands after coming home00.020.9453Washing hands before eating-0.020.020.3587Washing hands after toilet-0.010.020.4759Washing hands after contact with animals0.020.020.235Owing a cat0.010.020.6879Owing a dog-0.010.020.4488Owing cat and dog00.020.2791Helicobacter pylori infection-0.050.020.0085Univariate linear regression models showed that using collective catering facilities andH. pylori infection were negative predictors of BMIZ whereas male sex and consumption of tap water were positively associated with BMIZ (Table 5). Multiple regression analyses revealed that all these four variables were independent predictors of BMIZ (Table 3).Table 5
Unadjusted parameter estimate (β) with standard errors (SE) of BMIZ according to sociodemographic and hygienic characteristics.
VariableβSEpMale sex0.110.02<0.0001Age13 years0.010.020.362114 years-0.010.190.925315 years-0.080.180.664216 years-0.050.010.861617 years00.020.8931Living in the old town district-0.020.020.2323Consumption of raw vegetables0.020.020.2746Consumption of raw meat0.010.020.4275Consumption of unboiled water0.050.020.0017Using collective catering facilities-0.070.020.0001Washing hands after coming home-0.030.020.0837Washing hands before meal-0.030.020.1148Washing hands after toilet-0.030.020.0573Washing hands after contact with animals00.020.9243Owing a cat00.020.9317Owing a dog00.020.9571Owing a cat and a dog00.010.7241Helicobacter pylori infection-0.040.020.0246


## 4. Discussion

Human growth is complex and depends on factors that may also be associated withH. pylori acquisition, such as socioeconomic status and hygiene practices. The association between nutritional status and H. pylori infection remains controversial. Some studies showed negative effect of H. pylori colonisation on both height and weight being affected [2–5] or only height [6, 7] or only weight [8, 9] being affected. However, other studies suggested no influence of H. pylori infection on growth [10] or even a positive correlation between the infection and a high BMI [11]. The inconsistency may arise from differences in sample size, testing methodology of H. pylori infection, and, most of all, study population (developed versus developing countries and different age groups).In this large-sampled prospective community-based study, we showed that WAZ and BMIZ scores were significantly lower in 13-17-year-old Polish teenagers tested positive forH. pylori infection than their noninfected counterparts. Furthermore, this negative association between H. pylori infection and both WAZ and BMIZ scores was independent of sociodemographic variables and different hygienic practices. These results support a negative relation between weight and BMI and H. pylori infection and suggest that except for improvements in socioeconomic and hygienic conditions, in children with growth disturbances, H. pylori testing should be offered. This is in agreement with a Peruvian [12] and Colombian [3] studies that found a significant and permanent effect of H. pylori infection on weight among children from low socioeconomic background. According to the systematic review by Lender et al. [13], there is a strong inverse association between prevalence of H. pylori infection and overweight and obesity in developed countries, which also confirms the negative effect of H. pylori on body weight. In contrast with these findings, in the largest pediatric study on the subject to date, differences with regard to both body weight and body mass index between infected and noninfected children were not significant. However, in this study, boys with H. pylori infection had significantly lower weight than those noninfected [4].In this study, children tested positive forH. pylori infection had lower HAZ score, but the difference was not statistically significant. This finding may suggest that weight gain is influenced by H. pylori infection in an earlier time period, compared to height. It can be hypothesized that with exposure time elongation, the effect of H. pylori infection on height would become more prominent. This hypothesis is consistent with a prior cohort study of Kocaoglu et al. [14] who concluded that the negative effect of the infection on both height and weight is evident as the duration of exposure is prolonged. Several previous studies indicated that chronic H. pylori infection may negatively influence growth [4–6] and can be associated with short stature in children [7]. In contrast with these findings, some pediatric studies reported no link between height and H. pylori infection [15, 16].Our study and other well-designed studies support the notion thatH. pylori might negatively affect physical growth, likely after the establishment of persistent infection. It is no clear by which mechanism H. pylori may impair physical growth; nonetheless, there are multiple plausible explanations. It has been shown that H. pylori-related inflammation can affect the levels of neuroendocrine gastric hormones such as ghrelin and leptin. They play a crucial role in regulation of eating behaviour and energy expenditure. Ghrelin is a peptide hormone well known for its growth hormone-releasing and appetite-stimulating effect. In a systematic review published in 2011, the significantly lower circulating ghrelin concentration in H. pylori-positive subjects compared to those not infected has been conclusively confirmed [17]. However, the effect of H. pylori infection on plasma ghrelin level has been demonstrated mainly in adults with the fundus-predominant gastritis. In children, in whom H. pylori-related gastritis is mainly of antrum-predominant type, ghrelin secretion impairment is not expected [5]. Some studies have also revealed an association between H. pylori infection in children and increased serum concentration of leptin that has anorexigenic actions [18].Another explanation is thatH. pylori may induce a decrease in iron stores. Children with iron deficiency may have reduced appetite that may affect their nutritional intake and their overall physical status. In addition, some studies have shown an association between chronic H. pylori infection and disturbed absorption of many nutrients and vitamins, which in turn impairs childhood growth [19]. The current meta-analysis documented a significantly increased likelihood of iron deficiency anemia in H. pylori-infected individuals compared to uninfected group. The association was stronger in children, for whom a 2-fold higher prevalence of iron deficiency anemia was observed [20]. However, some studies did not confirm the association between H. pylori positivity and the dietary intake [21].This study has both limitations and strengths. The strengths of our study include its prospective design and a very large sample of the population. It is one of the largest studies concerning height and weight in relation toH. pylori infection and the largest conducted in Poland. Furthermore, for the diagnosis of H. pylori infection, we used the 13C urea breath test that remains a most reliable noninvasive test with the highest diagnostic odds ratio when compared to 14C urea breath test, serology, and stool antigen [22].The main limitation of the study is the lack of detailed socioeconomic data. We analyzed the patients’ place of residence as a surrogate marker for socioeconomic status. It can be misleading, as living in old city district might not be inseparably associated with poor hygienic practices and other factors playing a role inH. pylori acquisition.Secondly, the study was conducted among teenagers from small region in Poland; therefore, conclusions drawn based on its result may not be universally applicable. However, we recruited a cohort of individuals from fairly heterogeneous socioeconomic background, which enables us to assess the effect ofH. pylori infection on the nutritional indices in individuals from different socioeconomic conditions.Finally, the present study provides no insight into the pathogenesis of the inverse correlation between anthropometric indicators of nutritional status andH. pylori infection.


## 5. Conclusion

In conclusion, by employing the most accurate noninvasive diagnostic method forHelicobacter pylori detection, our finding adds to the evidence on independent negative influence of H. pylori infection on nutritional status in Polish teenagers.



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