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Prevalence and risk factors of Helicobacter pylori infection among children in Kuichong Subdistrict of Shenzhen City, China

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Microbiology

Introduction

Helicobacter pylori is a key gastric pathogen infecting nearly half of the world’s population, causing several gastric disorders including chronic gastritis, gastric atrophy, peptic and duodenal ulcerations, gastric mucosa-associated lymphoid tissue lymphoma and gastric adenocarcinoma (Marshall & Windsor, 2005). In China, in tandem with a high overall H. pylori prevalence rate of 55.8%, gastric cancer has been reported as the third most predominant cancer type and the second leading cause of cancer-related death in this nation, with an estimated 456,124 new cases and 390,182 deaths in 2018, respectively (Feng et al., 2019; Hooi et al., 2017). Based on a recent systematic review analyzing the medical expenses of Chinese patients with gastric cancer during 2002–2011, it was estimated that in 2012 the first course treatments alone would cost China nearly $3 billion USD, signifying the clinical and economic impact of H. pylori-related gastric diseases on the public health system (Sun et al., 2018).

Poor socioeconomic status, overcrowding and improper hygiene standards have been reported as risk factors for acquisition of H. pylori infection (Malaty & Graham, 1994; Yucel, Sayan & Yildiz, 2009). It is also believed that H. pylori infections mostly occur during early childhood in an intrafamilial transmission setting through both the fecal–oral and oral–oral routes as live bacterium had been previously successfully isolated from human fecal and oral sample (Awuku et al., 2017; Ertem, 2013; Malaty et al., 2001; Parsonnet, Shmuely & Haggerty, 1999; Thomas et al., 1992; Urita et al., 2013; Yucel, Sayan & Yildiz, 2009). Therefore, the best way of reducing H. pylori prevalence, perhaps, is to improve personal hygiene awareness among the primary caregivers of children, especially mothers, to prevent childhood infection.

At present and overall, there is a lack of epidemiological investigation assessing the prevalence of H. pylori infection among the asymptomatic children in China. Therefore, this cross-sectional study aimed to examine H. pylori prevalence among healthy children from Kuichong Subdistrict situated in Shenzhen, China by using the 13C-urea breath test (UBT). The 13C-UBT was selected due to its non-invasive nature and has been proven to be highly accurate in determining H. pylori infection status in children aged 6–12 years (Elitsur et al., 2009). In addition, to allow more effective strategies to be drawn for the prevention and management of H. pylori infection in early childhood, we also explored the relations between H. pylori infection rate and different socioeconomic and demographic parameters to identify the potential risk factors.

Materials and Methods

Ethics approval

The study was approved by the research ethics committee of the First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital. Written and informed consents were obtained from all participants and their legal guardians.

Sample size determination

According to a previous H. pylori prevalence study conducted in Guangzhou, we assumed that 22.9% of asymptomatic children would be infected with H. pylori (Chen et al., 2007). The samples size required for this study was estimated based on a 95% confidence interval and a 2.5% admissible error rate using the following formula:

Sample size, n=Zα/22×π×(1π)/δ2, where Zα/2 is the 2-tailed normal deviate for an α level of 0.05; π is the prevalence ratio; δ is the admission error rate.

A sample size of 1,152 was therefore required for this study. We added at least 25% to the estimate for contingency purpose, raising the final sample size to 1,355.

Study population

To avoid selection bias, from September 2018 to October 2018, all school children aged 6–12 years from four primary schools located in Kuichong Subdistrict of Shenzhen City, China, who did not meet any of the exclusion criteria and had provided parental or guardian consent, were recruited. Exclusion criteria included intake of antibiotics within the last 4 weeks, intake of proton pump inhibitors within the last 2 weeks and previous history of H. pylori eradication therapy.

The 13C-UBT (Beijing Boran Pharmaceutical, Changping, China) was performed according to the manufacturer’s instructions to determine H. pylori infection status. All breath samples were taken and analyzed immediately in the school by the same technician. Briefly, an initial baseline breath was collected from each study participant following an overnight fast of at least 4 h. Each participant was then requested to ingest a tablet containing 75 mg 13C labeled urea with 80–100 mL of water. After 30 min of sitting, exhalation was again collected. The 13CO2 content within the initial and 30-min expiratory air bags were analyzed using an HG-IRIS13C infrared spectrometer (Beijing Richen-Force Science & Technology Co., Beijing, China). The concentration of 13CO2 following 30 min of administration that exceeded the baseline by 4% was regarded as a positive indicator of H. pylori infection. The weight, height, and both head and chest circumferences of each participant were also recorded. Body mass index (BMI) was calculated as body weight divided by height squared (kg/m2). The BMI category was classified according to the corresponding percentiles as recommended by The Centers for Disease Control and Prevention.

Questionnaires

On behalf of each study participant, parents or legal guardians were requested to complete a questionnaire for data collection on sociodemographic and living conditions, birth method and childhood feeding practices, lifestyle habits and health parameters. A blank copy of the questionnaire is available as File S2. The outcomes are summarized in Table S1. Sociodemographic and living conditions consisted of age and gender of all children, number of siblings (three categories: 1, 2–3 and >3), total annual income (two categories: ≤200,000 or >200,000 RMB), household population (two categories: ≤3 or >3 persons), household space (two categories: ≤40 or >40 m2/person), parents’ education level (two categories: both were high school graduates or either one had completed tertiary education) and pet ownership (two categories: yes or no).

The birth method of each child was assessed in two categories (via natural delivery or a cesarean section). Childhood feeding practices comprised the primary feeder of young children (four categories: parents, grandparents, both parents and grandparents, or other caregivers), feeding methods (three categories: feeding pre-chewed food, feeding by using shared cutleries or feeding by using a separate set of cutleries), breast feeding duration (three categories: never, up to 6 months or more than 6 months) and how the milk bottle temperature was tested (three categories: by dripping a few onto the wrist, taking a swig or using a thermometer).

Lifestyle investigations included the teeth brushing frequency (three categories: ≤3, 4–6 or ≥7 times per week), hand washing before meal and after toilet (three categories: rarely, sometimes or always), dining out frequency (three categories: ≤1, 2–4 or ≥5 times per week), how fruit was eaten (two categories: peeled or unpeeled), drinking water for consumption (two categories: raw or boiled), toothbrush sharing (two categories: yes or no), snacking regularly (two categories: yes or no) and thumb sucking (two categories: yes or no). The health conditions of each child were evaluated in three categories (≤1, 2–4 or ≥5 times per week) for bloating, abdominal discomfort, burping and diarrhea, respectively, and in two categories (present or absent) for halitosis, anemia, asthma and skin allergy, respectively.

Statistical analysis

Unpaired, two-tailed Student’s t-test was used for statistical comparison of continuous variables between H. pylori positive and negative groups. For comparison of categorical variables, the chi-square test was employed, followed by univariate logistic regression analysis using JASP software v0.11.1 (https://jasp-stats.org/). Variables significantly associated with H. pylori infection in the univariate test (P < 0.05) were selected as candidates for entry into the multivariable logistic regression models using the forward selection process. During this iterative selection process, any variable with P > 0.1 was eliminated. Subsequently, variables previously not included in the original model were introduced, one at a time, to identify any variable that could have an important role in H. pylori infection in the presence of significant variables retained earlier. The selection process was repeated but only for the additionally loaded variables until a final model was obtained. Both univariate and multivariate analyses were adjusted for age. Results were presented as odds ratio (OR) with 95% confidence intervals (CI). A P-value of less than 0.05 was regarded as statistically significant.

Results

Prevalence of H. pylori infection

In this study, 1,355 children aged from 6 to 12 years were recruited, among which 747 (55.1%) were males and 608 (44.9%) were females (Table 1). The overall H. pylori prevalence rate was 16.7% (226/1355; 95% CI [14.7–18.7]). There was no distinguishable difference in H. pylori infection rate in gender and between children who were locally and elsewhere born. Interestingly, while 8-year-old children had the highest prevalence of H. pylori infection at 23.2%, lower than the overall prevalence positivity rates were seen in children aged 6 and 10 years old, at 10.6% and 12.6%, respectively. No significant differences in anthropometric measurements were observed among the infected and non-infected children.

Table 1:
Demographic characteristics and anthropometric measurements of 1,355 children recruited in this study.
H. pylori positive H. pylori negative P
Age (years) 0.032
 6 (n = 160) 10.6 [5.7–15.5] 89.4 [84.5–94.3]
 7 (n = 231) 16.5 [11.6–21.4] 83.5 [78.6–88.4]
 8 (n = 207) 23.2 [17.3–29.1] 76.8 [70.9–82.7]
 9 (n = 260) 18.1 [13.3–22.9] 81.9 [77.1–86.7]
 10 (n = 223) 12.6 [8.2–17] 87.4 [83–91.8]
 11 (n = 202) 17.8 [12.4–23.2] 82.2 [76.8–87.6]
 12 (n = 72) 16.7 [7.9–25.5] 83.3 [74.5–92.1]
Gender 0.704
 Male (n = 747) 16.3 [13.6–19] 83.7 [81–86.4]
 Female (n = 608) 17.1 [14–20.2] 82.9 [79.8–86]
 Birthplace
 Dapeng 15.7 [13–18.4] 84.3 [81.6–87] 0.265
 Others 17.9 [14.8–21] 82.1 [79–85.2]
BMI 0.404
 Underweight 16.5 [10.2–22.8] 83.5 [77.2–89.8]
 Normal 15.8 [13.4–18.2] 84.2 [81.8–86.6]
 Overweight 18.8 [12.5–25.1] 81.2 [74.9–87.5]
 Obese 21.8 [13.6–30] 78.2 [70–86.4]
Height (cm) 134.2 ± 11.8 134.5 ± 11.9 0.76
Weight (kg) 30.6 ± 9.6 30.2 ± 8.9 0.596
Head circumference (cm) 52.5 ± 1.7 52.6 ± 2.2 0.381
Chest circumference (cm) 65.8 ± 36.8 63.5 ± 20.5 0.369
DOI: 10.7717/peerj.8878/table-1

Note:

Data are presented as % (95% confidence interval) or mean ± standard deviation. BMI: body mass index. The age, gender, birthplace and BMI differences between H. pylori-positive and negative children were compared using the chi-square test. For differences involving continuous parameters including height, weight, head circumference and chest circumference, the comparison was performed using the unpaired Student’s t-test.

We performed chi-square test to examine for any significant difference in different sociodemographic, lifestyle and clinical characteristics between H. pylori-positive and H. pylori-negative children. Variables tested with no significant difference between both groups are available in Table S2. As demonstrated in Table 2, the following variables contributed to greater H. pylori prevalence among children: having more than one child, both parents attended no education after high school, smaller living space, testing milk bottle temperature by taking a swig, feeding infant with pre-chewed food or by using feeder’s cutlery, sharing toothbrush, eating out at least 5 times a week, snacking and eating fruits after peeling.

Table 2:
List of sociodemographic, lifestyle and clinical variables that had significant influence on H. pylori infection status in 1,355 children.
Variables H. pylori positive H. pylori negative p
Number of children 0.027
 1 (n = 341) 12.6 [9–16.2] 87.4 [83.8–91]
 2 or 3 (n = 918) 17.5 [15–20] 82.5 [80–85]
 >3 (n = 96) 22.9 [14.3–31.5] 77.1 [68.5–85.7]
Parents education level 0.001
 Both were high school graduates (n = 843) 19.2 [16.5–21.9] 80.8 [78.1–83.5]
 Either one or both had completed tertiary education (n = 512) 12.5 [9.6–15.4] 87.5 [84.6–90.4]
Living space (m2/person) 0.037
 ≤40 (n = 1,249) 17.3 [15.2–19.4] 82.7 [80.6–84.8]
 >40 (n = 106) 9.4 [3.7–15.1] 90.6 [84.9–96.3]
How to test the temperature of milk bottle before feeding? < 0.001
 Wrist method (n = 1,149) 15.1 [13–17.2] 84.9 [82.8–87]
 Mouth testing (n = 164) 27.4 [20.4–34.4] 72.6 [65.6–79.6]
 Thermometer (n = 42) 16.7 [5.2–28.2] 83.3 [71.8–94.8]
Infant feeding method 0.002
 Pre-mastication (n = 43) 25.6 [12.3–38.9] 74.4 [61.1–87.7]
 Sharing cutlery with the feeder (n = 158) 24.7 [17.8–31.6] 75.3 [68.4–82.2]
 Using child-only cutlery (n = 1,150) 15 [12.9–17.1] 85 [82.9–87.1]
Fruits were peeled before eating 0.036
 No (n = 143) 10.5 [5.4–15.6] 89.5 [84.4–94.6]
 Yes (n = 1,212) 17.4 [15.2–19.6] 82.6 [80.4–84.8]
Sharing toothbrush 0.014
 No (n = 1,218) 15.8 [13.7–17.9] 84.2 [82.1–86.3]
 Yes (n = 137) 24.1 [16.8–31.4] 75.9 [68.6–83.2]
Frequency of eating out 0.002
 ≤1 time per week (n = 1,074) 15.8 [13.6–18] 84.2 [82–86.4]
 2–4 times per week (n = 248) 17.3 [12.5–22.1] 82.7 [77.9–87.5]
 ≥5 times per week (n = 33) 39.4 [22.4–56.4] 60.6 [43.6–77.6]
Snacking habit 0.032
 No (n = 398) 13.3 [9.9–16.7] 86.7 [83.3–90.1]
 Yes (n = 957) 18.1 [15.6–20.6] 81.9 [79.4–84.4]
DOI: 10.7717/peerj.8878/table-2

Note:

Data are presented as % (95% confidence interval). The differences between H. pylori-positive and negative children were compared using the chi-square test.

Protective and risk factors for H. pylori infection

Risk factors for H. pylori infection were further investigated by univariate and multivariable logistic regression analyses adjusting for age. The final model of multivariable analysis revealed six variables significantly associated with H. pylori in children (Table 3). Children whose parent(s) with tertiary education level (OR: 0.64; 95% CI [0.46–0.89]; P = 0.008) and larger living space at home (OR: 0.54; 95% CI [0.28–1.07]; P = 0.078) were protective factors against H. pylori infection. Conversely, testing milk bottle temperature by taking a swig as opposed to dripping a few onto the wrist (OR: 1.79; 95% CI [1.19–2.68]; P = 0.005), sharing of cutlery between the feeding person and young children rather than using separate cutlery each during meals (OR: 1.84; 95% CI [1.22–2.78]; P = 0.004), and snacking (OR: 1.43; 95% CI [1.01–2.01]; P = 0.043) resulted in lower risks for H. pylori infection. Only eating fruits peeled than unpeeled (OR: 2.56; 95% CI [1.4–4.71]; P = 0.002) and eating out frequently for at least 5 times a week (OR: 3.13; 95% CI [1.46–6.68]; P = 0.003) would result in substantially higher risks for H. pylori infection.

Table 3:
Univariate and multivariable logistic regression analyses of variables associated with H. pylori infection status.
Variables Univariate Multivariable
OR (95% CI) P OR (95% CI) P
Number of children
 1 Reference
 2–3 1.44 [1–2.07] 0.05
 >3 2.06 [1.16–3.66] 0.013
Parents education level
 Both were high school graduates Reference Reference
 Either one or both had completed tertiary education 0.59 [0.43–0.81] 0.001 0.64 [0.46–0.89] 0.008
Living space (m2/person)
 ≤40 Reference Reference
 >40 0.51 [0.26–0.99] 0.047 0.54 [0.28–1.07] 0.078
Milk bottle temperature test method
 Wrist method Reference Reference
 Mouth testing 2.05 [1.39–3.01] <0.001 1.79 [1.19–2.68] 0.005
 Thermometer 1.13 [0.5–2.59] 0.766 1.06 [0.45–2.46] 0.899
Infant feeding method
 Using child-only cutlery Reference Reference
 Pre-mastication 1.96 [0.97–3.95] 0.062 1.69 [0.81–3.54] 0.163
 Using feeder’s cutlery 1.86 [1.25–2.77] 0.002 1.84 [1.22–2.78] 0.004
Frequency of eating out
 ≤1 time per week Reference Reference
 2–4 times per week 1.1 [0.76–1.6] 0.606 1.2 [0.82–1.77] 0.347
 ≥5 times per week 3.23 [1.55–6.73] 0.002 3.13 [1.46–6.68] 0.003
Fruits were peeled before eating
 No Reference Reference
 Yes 2.06 [1.14–3.71] 0.017 2.56 [1.4–4.71] 0.002
Sharing toothbrush
 No Reference
 Yes 1.6 [1.04–2.46] 0.032
Snacking habit
 No Reference Reference
 Yes 1.44 [1.03–2.01] 0.034 1.43 [1.01–2.01] 0.043
DOI: 10.7717/peerj.8878/table-3

Note:

OR, odds ratio; CI, confidence interval. Both univariate and multivariable logistic regression analyses were performed to identify risk factors associated with H. pylori infection.

Discussion

In the present study, H. pylori infection in 1,355 children aged 6–12 years was screened using the non-invasive 13C-UBT, which has been shown to achieve both sensitivity and specificity of at least 95% in children and adults (Vaira & Vakil, 2001). The overall H. pylori prevalence was 16.7%, which was at least two-fold higher compared to the global infection rate of 7.9% among children aged 7–12 years from Beijing, Guangzhou and Chengdu (Ding et al., 2015). In contrast to Beijing, Guangzhou and Chengdu which are all highly developed cities, Kuichong is only a developing subdistrict of the Shenzhen City. Therefore, the higher H. pylori infection rate among Kuichong’s children is likely due to the differences in socioeconomic status and living conditions. Our data demonstrated that parent(s) with higher education level and having a larger living space at home are important protective factors against H. pylori infection. These findings are consistent with several previous studies from Houston, Czech Republic, Iran and Vietnam that reported children living in a crowded household and whose parent(s) with less education are at significantly greater risks of acquiring H. pylori infection (Malaty et al., 2001; Nguyen et al., 2017; Nouraie et al., 2009; Sykora et al., 2009).

Poor hygiene practices when feeding the young ones such as giving pre-chewed food and the use of same spoon by both mother and child are among the risk factors of H. pylori infection in children (Nguyen et al., 2017; Van Duynhoven & De Jonge, 2001). Our study demonstrated that testing milk bottle temperature by taking a few sucks directly and using the same cutlery to feed young children would result in a slight but significant increased risk of H. pylori infection. This implies that H. pylori exists in the human oral cavity and can be transmitted from an infected individual to another person via the oral–oral route (Yee, 2017). Hence to reduce the infection risk in children, whoever is the primary carer at home for the young children should exercise good personal hygiene to avoid any food that is to be served to children being cross-contaminated by his/her saliva, especially one who knows him/herself is a H. pylori carrier.

In a previous investigation conducted in Peru, children were exposed to greater risk of H. pylori infection due to increased consumption of food from street vendors (Begue et al., 1998). Similarly, in the present study, frequent dining out was significantly associated with the acquisition of H. pylori infection in children, which could be attributed to the preparation of food by food handlers who did not practice good personal hygiene.

While washing and peeling help to remove surface bacteria from fruits and vegetables to reduce the risk of foodborne illness, intriguingly, eating peeled fruits would increase the risk of H. pylori infection in this study. As our data showed that consumption of unboiled water is not associated with H. pylori infection, we therefore ruled out our initial thought that the cause of this increased risk might be due to contaminated water source. Unfortunately, we did not question what the fruit was being consumed. Could it possibly be that the fruit peel contains anti-H. pylori property and eating the fruit without its skin had therefore resulted in an elevated infection risk? This warrants further investigation. Also, interestingly, children who seemed to snack had a greater chance of acquiring H. pylori infection. Again, it was not specified further within the questionnaire on what snacks were being consumed to allow us making a better assumption on the underlying cause.

We concede that there are limitations in our study. Firstly, to assess the risk factors of H. pylori infection among children, a cohort study or a case-control study should be conducted, rather than a cross-sectional study which is not the most appropriate option. However, it is important to mention that the basic findings of a cross-sectional study could serve as the foundation for preparing and designing further in-depth case-control studies, cohort studies or randomized controlled trial studies (Mann, 2003). Another limitation lies within the questionnaire design as there were questions not explicit and detailed enough to examine the fundamental cause of some risk factors for H. pylori infection identified in this study, this warrants improvement before conducting a future cohort study to validate our current findings.

Conclusions

There is a high prevalence of H. pylori among children aged 6–12 years in Shenzhen City, China. Larger living space at home and parent(s) with tertiary education level were protective factors against H. pylori infection in children. Testing milk bottle temperature by taking a swig, not using individual cutlery set when feeding young children and snacking were associated with lower risks for H. pylori infection. Only eating fruits peeled than unpeeled and frequent dining out for at least 5 times a week could lead to higher risks for H. pylori infection.

Supplemental Information

Questionnaire results.

DOI: 10.7717/peerj.8878/supp-2

List of sociodemographic, lifestyle and clinical variables that had no significant influence on H. pylori infection status in 1,355 children.

DOI: 10.7717/peerj.8878/supp-3