Abstract
Background:
The prevalence of Helicobacter pylori (H. pylori) infection in Indonesia has been reported to be exceedingly low. The purpose of our study was to confirm whether this is the case in Northern Jakarta using a sensitive 13C-urea breath test (UBT), and to examine any associations with lifestyle/environment factors and potential routes of transmission.
Methods:
We recruited a total of 196 subjects from a low-income community in Northern Jakarta, Indonesia, data from 193 who completed a questionnaire about their lifestyle/environment and had UBT being included as the final. Odds ratios (ORs) adjusted for sex and age with 95% confidence intervals (CIs) were calculated using a logistic regression model.
Results:
The overall H. pylori infection rate was 15.0% (95%CI, 10.3-20.9), with variation among Javanese (9.1%, total=77), Buginese (40.0%, 35), Betawi (9.1%, 33), Sundanese (3.7%, 27), and Batak (40.0%, 5). On multivariate analysis, the ORs for intake of soybean milk, cucumber more than once a week, infrequent hand washing practice before meals, and alcohol consumption were 0.10 (95% CI: 0.01-0.97), 6.61 (95%CI: 1.87-23.3), 4.10 (95% CI:1.15-14.6), and 61.9 (95% CI: 1.67-2300.8), respectively. Rates for Buginese (OR=7.84; 95%CI: 1.82-33.8) and Batak (OR=20.1; 95% CI: 1.90-213.2) were significantly higher than for Javanese.
Conclusions:
The H. pylori infection rate in this study was relatively low, in line with previous studies. Regarding ethnicity factors, Buginese and Batak reported eating food using fingers more frequently than Javanese, Betawi, and Sundanese. Our study indicated that person-person transmission is possible in this low prevalence area. The low infection rates for H. pylori among Javanese, Betawi, and Sundanese ethnics could be partly due to their sanitary practices.
Keywords: H. pylori, infection, Indonesia
Introduction
Helicobacter pylori (H. pylori) is a pathogen of gastritis, and peptic ulcer, gastric cancer and mucosa-associated lymphoid tissue lymphoma (Peek et al,. 2002). The prevalence is higher in developing countries than developed countries (Go., 2002). H. pylori can be transmitted via fecal-oral or oral-oral route, depending on lifestyle/environment factors such as hygiene, water supply, and living conditions (Abebaw et al., 2014; Goh et al, 2011; Laszewicz et al., 2014; Miftahussurur et al., 2014; Salah et al., 2009). For example, in Japan the infrastructure before World War was not well established. Most of Japanese at the time were under unsanitary condition. That is why H. pylori infection rate is reported to be so high in Japan, although the rate has been declining recently due to improvement in the infrastructure (Asaka et al., 1992; Hirayama et al., 2014; Watanabe et al., 2015).
In Indonesia, the prevalence of H. pylori infection is expected to be high, because H. pylori infection is related to sanitary condition, and the economic status (Malaty et al., 1992), and the infrastructure of Indonesia is still developing. However, the reported prevalence of H. pylori infection in Mataram was 11.2% (Zhao et al., 2012), in Purwokerto was 36.5%, (Arinton, 2011), in Yogyakarta was 30.6% (Syam et al., 2006), and in Jakarta was 8% (Syam et al., 2006) and 9.5% (Syam et al., 2005). These unexpected results could be due to the sensitivity and specificity of the test used to detect H. pylori and due to the different study populations (Miftahussurur et al., 2015).
The purpose of this study was to evaluate the prevalence of H. pylori infection in Northern Jakarta by using 13C-urea breath test (UBT), a noninvasive test for detecting H. pylori infection (Bilal et al., 2007; Bruden et al., 2011; Patel et al., 2014; Redeen et al., 2011) and to examine possible associations of lifestyle/environment factors with H. pylori infection in order to reveal routes of transmission.
Materials and Methods
Study subjects
We recruited 196 healthy subjects aged 14 to 80 years attending the primary health care center in a low-income community in the suburbs of Northern Jakarta, Indonesia. This study was conducted from April to December, 2015. Exclusion criteria included subjects who had a history of gastric surgery, or in 2 weeks prior to UBT, had H. pylori eradication therapy, antibiotics, bismuth-containing compounds, H2-receptor blockers or proton pump inhibitors.
13C-urea breath test (UBT)
UBT was performed at the point-of-contact after an overnight fast according to the manufacture’s instruction. Those with ≥ 2.5‰ value were defined as being infected with H. pylori. Of 196 subjects, one had breakfast and could not be tested, and two could not be measured due to a low CO2 concentration.
Questionnaire about lifestyle/environment
The questionnaire included items on demographic characteristics, marital status, living condition, personal hygiene, monthly income, education level, smoking, alcohol, source of drinking water, dietary habit, medical history and medications. Questions on hand wash practice before meal and after toilet use, and the use of fingers to consume food (sanitary practices) had four categories namely always, most of my meal time, sometimes, never. Questions on food intake frequency had 6 categories namely never, less than 1 times/week, 1-2 times/week, 3-4 times/week, 5-6 times/week and everyday, and the ones on food intake quantity had 7 categories namely never, 1-2 pieces (plates)/week, 3-4 pieces (plates)/week, 5-6 pieces (plates)/week, 1-2 pieces (plates)/day, 3-4 pieces (plates)/day and ≥5 pieces (plates)/day. The information was obtained through face-to-face interview lasting approximately 15 minutes by two internists (N.D and F.H).
This study was approved by the ethics committees at Dr. Cipto Mangunkusumo Teaching Hospital (Jakarta, Indonesia) and Kyoritu Hospital (Nagoya, Japan). All subjects were enrolled after informed consent was obtained.
Statistical Analysis
Frequencies were compared by a χ2 test or a Fisher’s exact probability test. The 95% confidence intervals (CIs) of the percentage were calculated under the assumption of a binominal distribution. Odds ratios (ORs) adjusted for sex and age (a continuous variable) with 95% CIs were calculated using a logistic regression model. In the model, we grouped the 4 categories for the sanitary practices into 2 categories namely always and less frequent. Similarly, we grouped 6 categories for food intake frequency into 2 categories namely<1 time/week and ≥1 times/week and 7 categories for food intake quantity into 2 categories namely <3 pieces (plates)/week and ≥3 pieces (plates)/week. Education level was grouped into three categories namely low (elementary school or less), medium (junior or senior high school), high (university or above).
After univariate analysis, the lifestyle and environment factors with p<0.10 were entered to a multivariate logistic regression analysis. These calculations were performed by computer program STATA Version 13 (STATA Corp, College Station, TX).
Results
Of 196 subjects, 3 subjects failed to complete UBT. So, 193 subjected were included in this study. Of them, one subject did not know his age. The overall H. pylori infection rate was 15.0% (95%CI, 10.3-20.9): 10.6% (95%CI, 3.6-23.1) among men and 16.4% (95%CI, 10.8-23.5) among women. The H. pylori infection rates according to the characteristic are shown in Table 1. The prevalence of H. pylori increased slightly with age without significance. Among occupations, housewives tended to be infected more frequently. There was a statistically significant difference in H. pylori infection rates among ethnics.
Table 1.
Characteristics of Study Subjects
| Total | n (infected) | Hp+1% (95%%) | p value2 | |
|---|---|---|---|---|
| Sex | ||||
| Male | 47 | 5 | 10.6 (3.6-23.1) | 0.48 |
| Female | 146 | 24 | 16.4 (10.8-23.5) | |
| Age | ||||
| ≤19 | 9 | 0 | 0.0 (0.0-33.6) | 0.49 |
| 20-39 | 27 | 4 | 14.8 (4.2-33.7) | |
| 30-39 | 43 | 5 | 11.6 (3.9-25.1) | |
| 40-49 | 49 | 7 | 14.3 (5.9-27.2) | |
| 50-59 | 35 | 5 | 14.3 (4.8-30.3) | |
| 60-69 | 24 | 6 | 25.0 (9.8-46.7) | |
| ≥70 | 6 | 2 | 33.3 (4.3-77.7) | |
| Occupation | ||||
| Housewife | 86 | 18 | 20.9 (12.9-31.0) | 0.09 |
| Labor | 24 | 1 | 4.2 (0.1-21.1) | |
| Unemployed | 20 | 4 | 20.0 (5.7-43.7) | |
| Others | 63 | 6 | 9.5 (3.6-19.6) | |
| Ethnic | ||||
| Javanese | 77 | 7 | 9.1 (3.7-17.8) | <0.001 |
| Buginese | 35 | 14 | 40.0 (23.9-57.9) | |
| Betawi | 33 | 3 | 9.1 (1.9-24.3) | |
| Sundanese | 27 | 1 | 3.7 (0.1-19.0) | |
| Batak | 5 | 2 | 40.0 (5.3-85.3) | |
| Others3 | 16 | 2 | 12.5 (1.6-38.3) |
Helicobacter pylori positve;
p value was calculated by a χ2 test or a Fisher’s exact probability test;
Malay (2); Minangkabau (2); Maduranese (2); Tolaki (of 2, 1 positive); Chinese (1); Baliness (1); Kendari (of 1, 1 positive); Jambi (1); Manado (1); Palembang (1); Riau (1); Timor (1)
The association between environment factors and H. pylori infection is presented in Table 2. The prevalence of H. pylori infection did not significantly differ by the number of persons per household, per room, and per bed, education level, annual income, and marital status. Infrequent use of fingers to eat food prevented H. pylori infection significantly (OR=0.28, 95% CI, 0.12-0.67). Infrequent hand wash practice before meal increased risk of H. pylori infection with marginal significance (OR=2.45, 95% CI, 0.99-6.06). Infrequent hand wash practice after toilet was not significantly associated with risk of H. pylori infection.
Table 2.
Age-Sex Adjusted Odds Ratios (ORs) and 95% Confidence Intervals of Environment Factors for Helicobacter Pylori Infection
| n (infected)/N (Total) | OR | 95%CI | |
|---|---|---|---|
| Education | |||
| Low | 15/90 | 1.0 | Reference |
| Medium | 13/89 | 1.3 | 0.54-3.32 |
| High | 1/14 | 0.7 | 0.08-6.34 |
| Income per month | |||
| <Rp. 2,500,000 | 23/134 | 1.0 | Reference |
| ≥Rp. 2,500,000 | 6/59 | 0.7 | 0.6-1.95 |
| Marital status | |||
| Married | 28/188 | 1.0 | Reference |
| Single | 1/5 | 3.5 | 0.32-38.1 |
| Persons household | |||
| ≤3 | 8/76 | 1.0 | Reference |
| ≥4 | 21/117 | 2.0 | 0.82-4.84 |
| Persons per room | |||
| ≤1 | 9/55 | 1.0 | Reference |
| ≥2 | 20/138 | 0.9 | 0.40-2.29 |
| Persons per a bed | |||
| ≤1 | 5/22 | 1.0 | Reference |
| ≥2 | 24/171 | 0.7 | 0.23-2.21 |
| Sharing toothbrush | |||
| Yes | 8/163 | 1.0 | Reference |
| No | 1/30 | 0.2 | 0.03-1.66 |
| Using fingers to eat food | |||
| Always | 12/37 | 1.0 | Reference |
| Less frequent | 17/156 | 0.3 | 0.12-0.67 |
| Hand washing before meal | |||
| Always | 8/79 | 1.0 | Reference |
| Less frequent | 21/114 | 2.4 | 0.99-6.06 |
| Hand washing after toilet | |||
| Always | 15/112 | 1.0 | Reference |
| Less frequent | 14/80 | 1.6 | 0.71-3.74 |
Table 3 shows the association between H. pylori infection and lifestyle factors. The statistically significant risk factors for H. pylori infection were intake of cucumber more than one time a week (OR=4.23, 95%CI, 1.69-10.6). Intake of chicken (OR=2.45, 95% CI, 0.97-6.20), green vegetable (OR=6.99, 95% CI, 0.91-53.6), carrot (OR= 2.55, 95% CI, 0.97-6.72) and alcohol (OR=6.68 for former drinker, 95% CI, 0.86-52.0) increased the risk of H. pylori infection and drinking soybean milk (OR=0.15, 95% CI, 0.02-1.18) decreased it with marginal significance. There was no association between H. pylori infection and, the source of drinking water (data not shown) and smoking, although we could collect the information on source of drinking water from 96 subjects.
Table 3.
Age-Sex Adjusted Odds Ratios (ORs) and 95% Confidence Intervals of Lifestyle Factors for Helicobacter Pylori Infection
| n (infected)/N (Total) | OR | 95%CI | |
|---|---|---|---|
| Smoking | |||
| Never | 24/157 | 1 | Reference |
| Former | 3/14 | 2.4 | 0.4-14.4 |
| Current | 2/22 | 1.3 | 0.2-9.3 |
| Drinking Alcohol | |||
| Never | 26/184 | 1 | Reference |
| Former | 2/6 | 6.7 | 0.9-52.0 |
| Current | 1/3 | 3.4 | 0.2-47.8 |
| Red meat | |||
| <1 time/week | 27/174 | 1.0 | Reference |
| ≥1 times/week | 2/19 | 0.9 | 0.2-4.1 |
| Raw vegetable | |||
| <1 time/week | 2/140 | 1.0 | Reference |
| ≥1 times/week | 7/53 | 0.9 | 0.3-2.3 |
| Fresh fruits | |||
| <1 time/week | 12/82 | 1.0 | Reference |
| ≥1 times/week | 17/111 | 1.2 | 0.5-2.6 |
| Chicken | |||
| <1 time/week | 7/72 | 1.0 | Reference |
| ≥1 times/week | 22/121 | 2.4 | 0.9-6.2 |
| Green vegetable | |||
| <1 time/week | 1.38 | 1.0 | Reference |
| ≥1 times/week | 28-155 | 7.0 | 0.9-53.6 |
| Carrot | |||
| <1 time/week | 6/78 | 1.0 | Reference |
| ≥1 times/week | 3/115 | 2.5 | 0.9-6.7 |
| Garlic | |||
| <1 time/week | 2/37 | 1.0 | Reference |
| ≥1 times/week | 27/156 | 2.8 | 0.6-12.9 |
| Onion | |||
| <1 time/week | 2/31 | 1.0 | Reference |
| ≥1 times/week | 27/162 | 2.0 | 0.4-9.2 |
| Tomatoes | |||
| <1 time/week | 5/62 | 1.0 | Reference |
| ≥1 times/week | 24/131 | 2.0 | 0.7-5.7 |
| Cucumber | |||
| <1 time/week | 7/102 | 1.0 | Reference |
| ≥1 times/week | 22/91 | 4.2 | 1.7-10.6 |
| Cabbage | |||
| <1 time/week | 20/17 | 1.0 | Reference |
| ≥1 times/week | 9/66 | 0.9 | 0.4-2.2 |
| Fired rice | |||
| <3 plates/week | 27/166 | 1.0 | Reference |
| ≥3 plates/week | 2/27 | 0.5 | 0.1-2.3 |
| Tofu | |||
| <3 pieces/week | 9/60 | 1 | Reference |
| ≥3 pieces/week | 20/133 | 0.9 | 0.4-2.1 |
| Soybean cake | |||
| <3 pieces | 9/49 | 1.0 | Reference |
| ≥3 pieces/week | 20/144 | 0.7 | 0.3-1.7 |
| Coffee | |||
| <1 time/week | 23/153 | 1.0 | Reference |
| ≥1 times/week | 6/40 | 1.2 | 0.4-3.4 |
| Soybean milk | |||
| <1 time/week | 18/162 | 1.0 | Reference |
| ≥1 times/week | 1/31 | 0.1 | 0.02-1.2 |
| Milk | |||
| <1 time/week | 19/127 | 1.0 | Reference |
| ≥1 times/week | 10/66 | 1.3 | 0.53-3.06 |
| Tea | |||
| <1 time/week | 4/37 | 1.0 | Reference |
| ≥1 times/week | 25/156 | 1.4 | 0.5-4.4 |
The significant and marginally significant environment and lifestyle factors we identified in univariate analysis, as well as sex, age, and ethnic, were analyzed by a multivariate logistic regression model (Table 4). The infrequent use of fingers to eat food decreased significantly the risk of H. pylori infection in model 1 which excluded ethnic, but not in model 2 which included ethnic. Drinking soybean milk more than one time a week decreased the risk of H. pylori infection (OR=0.1, 95% CI, 0.01-0.97). The infrequent hand wash before meal (OR=4.10, 95% CI, 1.15-14.6) and intake of cucumber more than one time a week (OR=6.61, 95% CI, 1.87-23.3), and drinking alcohol (OR=61.9 for former drinker, 95% CI, 1.67-2300.8) were significantly associated with the risk of H. pylori infection. The OR for the intake of green vegetable more than one time a week was 10.6 (95% CI, 0.96-117.3). Moreover, Buginese (OR=7.84, 95% CI, 1.82-33.8) and Batak (OR=20.1, 95% CI, 1.90-213.2) were more likely than Javanese to be infected with H. pylori.
Table 4.
Multivariate Analysis for Risks of Helicobacter Pylori Infection
| Model 11 | Model 22 | |||
|---|---|---|---|---|
| OR | 95%CI | OR | 95%CI | |
| Using fingers to eat food (compared with always) | ||||
| Less frequent | 0.2 | 0.1-0.6 | 0.3 | 0.1-1.2 |
| Hand washing before meal (compared with always) | ||||
| Less frequent | 3.6 | 1.1-11.0 | 4.1 | 1.1-14.6 |
| Chicken (compared with <1 time/week) | ||||
| ≥1 times/week | 1.9 | 0.6-5.6 | 1.4 | 0.4-4.6 |
| Green vegetable (compared with <1 time/week) | ||||
| ≥1 times/week | 11.9 | 0.9-154.8 | 10.6 | 0.9-117.3 |
| Carrot (compared with <1 time/week) | ||||
| ≥1 times/week | 2.7 | 0.9-8.7 | 2.6 | 0.7-9.0 |
| Cucumber (compared with <1 time/week) | ||||
| ≥1 times/week | 4.3 | 1.5-12.3 | 6.6 | 1.9-23.3 |
| Soybean milk (compared with <1 time/week) | ||||
| ≥1 times/week | 0.1 | 0.01-0.9 | 0.1 | 0.01-0.9 |
| Drinking Alcohol (compared with never) | ||||
| Former | 44.5 | 1.8-1102.1 | 61.9 | 1.7-2300.8 |
| Current | 7.2 | 0.2-228.7 | 21.5 | 0.4-1160.4 |
| Ethnic (compared writh Javanese) | ||||
| Buginese | 7.8 | 1.8-33.8 | ||
| Betawi | 1.2 | 0.2-6.2 | ||
| Sundanese | 0.8 | 0.1-8.8 | ||
| Batak | 20.1 | 1.9-213.2 | ||
| Others3 | 1.6 | 0.2-13.4 | ||
Model 1, contained all variables except ethnicity above; Mode 2, contained all variables above; Malay (2); Minangkabau (2); Maduranese (2);Tolaki (of 2, 1 positive); Chinese (1); Baliness (1); Kendari (of 1, 1 positive); Jambi (1); Manado (1); Palembang (1); Riau (1); Timor (1)
Discussion
We observed a low infection rate in Northern Jakarta, Indonesia. This result was similar to the previous studies in Jakarta (Saragih et al., 2007; Syam et al., 2005; Syam et al., 2006), which used histological examination and rapid urease test. However, the sensitivity and specificity of these tests are not high. Conversely, UBT is often considered as gold standard due to the high accuracy (Bilal et al., 2007; Bruden et al., 2011; Patel et al., 2014; Redeen et al., 2011). Therefore, we had to evaluate whether H. pylori infection rate is low in Jakarta, Indonesia by using UBT.
It has been reported that the source of drinking water is an important factor. Syam AF et al and other studies have reported that the use of river/well as drinking water is risk of H. pylori infection (Brown et al., 2002; Ozaydin et al., 2013; Syam et al., 2015). In addition, Japanese were supposed to drink water from well before World War. It could explain why the prevalence rate of H. pylori is high in Japan (Karita et al., 2003; Iso et al., 2005; Yang et al., 1999). But this study did not confirm the association (data not shown), because only 3.1% (3/96) drunk river/well water. It has been reported that drinking well water in childhood is risk for H. pylori infection (Karita et al., 2003; Yang et al., 1999). We also collected information on the source of water from 62 subjects, which they drunk while their childhood. Of them, 35.5% (22/62) drunk river/well water, but it was not associated with the risk of H. pylori infection, neither. Moreover, 75.8% always boiled water before drinking, irrespective of the source of drinking water. It is conceivable that boiling water could prevent them from H. pylori infection, resulting in null association between H. pylori infection and the source of drinking water. In fact, the infrequency of boiling water increased the risk of H. pylori infection without significance (OR adjusted for age=2.86, 95% CI, 0.39-20.8).
This study showed intake of cucumber increased the risk for H. pylori infection after a multivariate analysis. There are no studies about the association between the intake of cucumber and H. pylori infection as long as we searched for it on PubMed using the key words as following; cucumber, and/or H. pylori, and/or infection, and/or foodborne, and/or lifestyle. This association we found in this study might be a chance association. However, it has been reported that the intake of cucumber, which caused the outbreak of Salmonella, was a possible reservoir for Salmonella (Angelo et al., 2015). We could not deny the possibility that cucumber was a reservoir for H. pylori. The OR for intake of green vegetable more than one time a week was 10.6, which was higher than the OR for cucumber. But the association with H. pylori infection risk was marginal significance probably due to lack of statistical power. Fresh leafy green vegetables carry the potential risk of microbiological contamination because of usage of untreated irrigation water, inappropriate organic fertilizers, wildlife or other sources (Mercanoglu et al., 2011). Green vegetable also could be the reservoir for H. pylori. These associations remain to be further investigated.
Batak and Buginese ethnics were infected more frequently than Javanese, Betawi and Sundanese ethnics. This result was compatible as the previous reports (Miftahussurur et al., 2014; Miftahussurur et al., 2015; Syam et al., 2015; Tokudome et al., 2005; Tokudome et al., 2005). Although it is unclear why there was difference in H. pylori infection among ethnics in Indonesia, host genetic factors and/or environmental factors could explain the difference. In our study, there was another suggestion that the factor of ethnic was correlated with unsanitary practice, considering the comparison of model 1 with model 2 (Table 4). It was possible that the high prevalence of H. pylori infection among Buginese and Batak was caused by the frequent use of fingers to eat food. The percentages of the use of fingers every time eating food among Buginese and Batak were 45.7% and 40.0%, respectively, whereas the percentages among Javansese, Betawi and Sundanese were 11.7%, 15.2% and 3.70%, respectively (Figure 1). In addition, the infrequent hand wash practice before meal increased the risk for H. pylori infection, which was consistent with the previous studies (Abebaw et al., 2014; Brown et al., 2002). Unsanitary practices were thought to be important factors in transmission of H. pylori. Moreover, the more number of persons per household tended to increase the risk of H. pylori infection as the past studies have reported (Laszewicz et al., 2014; Salah et al., 2009; Webb et al., 1994). These results indicated person-to-person transmission was plausible even in this low prevalence area, and avoidance of using fingers to eat food might keep Javansese, Betawi and Sundanese away from the risk of H. pylori infection.
Figure 1.

The Percentage of Helicobacter Pylori Infection and the Use of Fingers Every Time They Consume Food by Ethnics
Considering the previous study, which have reported that the consumption of soybean curd was negatively related to H. pylori infection (Shinchi et al., 1997), it was indicated that drinking soybean milk was a protective factor against H. pylori infection. In addition, other foods from soybean such as tofu and soybean cake showed negative relationship with infection insignificantly. However, this could not explain the reason why H. pylori infection rate is low in Indonesia, because the number of those who drinking soybean milk was small.
Regarding smoking and alcohol intake, these associations are controversial (Abebaw et al., 2014; Brown et al., 2002; Camargo et al., 2004; Ito et al., 2001; Liu et al., 2015; Moges et al., 2006; Zhu et al., 2014). In this study, we could find the relation between alcohol and H. pylori infection. As for alcohol, we assumed the reason for the various results might be explained by the types of alcoholic beverages consumed and the lifetime history of alcohol consumption. We found no relation between smoking and H. pylori infection.
There were some limitations in this study. The infection is established during childhood. Our study could examine the factors for continuation of the infected state. But considering that lifestyle and diet habit hardly change without intervention (Penalvo et al., 2012), we believe the environment and lifestyle factors we collected from the subjects also could be the risk for H. pylori infection. We collected the subjects in the restricted area, where the sanitary condition and infrastructure were worse, and this study could not reflect all Indonesians. The number of subjects in this study was relatively small. Especially, the number of subjects who provided the information on the source of drinking water was small. Therefore, we could not investigate the association between H. pylori infection and source of drinking water with enough statistical power.
In conclusion, we found H. pylori infection rate was as low as the previous studies have reported (Arinton, 2011; Miftahussurur et al., 2014; Miftahussurur et al., 2015; Syam et al., 2005; Syam et al., 2006; Syam et al., 2015; Tokudome et al., 2005; Tokudome et al., 2005; Zhao et al., 2012). Batak and Buginese ethnics were infected with H. pylori more frequently. The intake of cucumber, and drinking alcohol increased the risk of H. pylori infection. The intake of soybean milk prevented infection with H. pylori, but most of our study subjects did not drink it. After we scrutinized the factor of ethnic, Buginese and Batak ethnics eat using fingers more frequently. Moreover, infrequent hand wash practice before meal increased the risk of H. pylori infection. Therefore, person-to-person route was indicated as transmission of H. pylori infection even in this low prevalence area. The lower infection rates among Javansese, Betawi and Sundanese ethnics could be due to sanitary practices namely avoidance of using fingers to eat food. Furthermore studies are needed to confirm our results
Acknowledgement
The authors gratefully thank KAIKOUKAI CLINIC SENAYAN for its financial support to perform 13C-urea breath test on this study subjects.
References
- Abebaw W, Kibret M, Abera B. Prevalence and risk factors of H. pylori from dyspeptic patients in northwest Ethiopia: a hospital based cross-sectional study. Asian Pac J Cancer Prev. 2014;15:4459–63. doi: 10.7314/apjcp.2014.15.11.4459. [DOI] [PubMed] [Google Scholar]
- Akasaka S, Kosaka H, Ishikawa H, Azuma T, Moore MA. Rare Helicobacter pylori infection as a factor for the very low stomach cancer incidence in Yogyakarta, Indonesia. Cancer Lett. 2005;219:57–61. doi: 10.1016/j.canlet.2004.09.043. [DOI] [PubMed] [Google Scholar]
- Angelo KM, Chu A, Anand M, et al. Outbreak of Salmonella Newport infections linked to cucumbers--United States, 2014. MMWR Morb Mortal Wkly Rep. 2015;64:144–7. [PMC free article] [PubMed] [Google Scholar]
- Arinton IG. Adjustment of cut-off values in ELISA for detection of Helicobacter pylori infection. Acta Med Indones. 2011;43:88–91. [PubMed] [Google Scholar]
- Asaka M, Kimura T, Kudo M, et al. Relationship of Helicobacter pylori to serum pepsinogens in an asymptomatic Japanese population. Gastroenterology. 1992;102:760–6. doi: 10.1016/0016-5085(92)90156-s. [DOI] [PubMed] [Google Scholar]
- Bilal R, Khaar B, Qureshi TZ, et al. Accuracy of non-invasive 13C-urea breath test compared to invasive tests for Helicobacter pylori detection. J Coll Physicians Surg Pak. 2007;17:84–8. [PubMed] [Google Scholar]
- Brown LM, Thomas TL, Ma JL, et al. Helicobacter pylori infection in rural China: demographic, lifestyle and environmental factors. Int J Epidemiol. 2002;31:638–45. doi: 10.1093/ije/31.3.638. [DOI] [PubMed] [Google Scholar]
- Bruden DL, Bruce MG, Miernyk KM, et al. Diagnostic accuracy of tests for Helicobacter pylori in an Alaska native population. World J Gastroenterol. 2011;17:4682–8. doi: 10.3748/wjg.v17.i42.4682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Camargo MC, Lazcano-Ponce E, Torres J, et al. Determinants of Helicobacter pylori seroprevalence in Mexican adolescents. Helicobacter. 2004;9:106–14. doi: 10.1111/j.1083-4389.2004.00206.x. [DOI] [PubMed] [Google Scholar]
- Go MF. Review article: natural history and epidemiology of Helicobacter pylori infection. Aliment Pharmacol Ther. 2002;16:3–15. doi: 10.1046/j.1365-2036.2002.0160s1003.x. [DOI] [PubMed] [Google Scholar]
- Goh KL, Chan WK, Shiota S, Yamaoka Y. Epidemiology of Helicobacter pylori infection and public health implications. Helicobacter. 2011;16:1–9. doi: 10.1111/j.1523-5378.2011.00874.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hirayama Y, Kawai T, Otaki J, Kawakami K, Harada Y. Prevalence of Helicobacter pylori infection with healthy subjects in Japan. J Gastroenterol Hepatol. 2014;29:16–9. doi: 10.1111/jgh.12795. [DOI] [PubMed] [Google Scholar]
- Iso N, Matsuhisa T, Shimizu K. Helicobacter pylori infection among patients visiting a clinic in Kasama city, Ibaraki prefecture. J Nippon Med Sch. 2005;72:341–54. doi: 10.1272/jnms.72.341. [DOI] [PubMed] [Google Scholar]
- Ito LS, Oba SM, Hamajima N, et al. Helicobacter pylori seropositivity among 963 Japanese Brazilians according to sex, age, generation, and lifestyle factors. Jpn J Cancer Res. 2001;92:1150–6. doi: 10.1111/j.1349-7006.2001.tb02134.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karita M, Teramukai S, Matsumoto S. Risk of Helicobacter pylori transmission from drinking well water is higher than that from infected intrafamilial members in Japan. Dig Dis Sci. 2003;48:1062–7. doi: 10.1023/a:1023752326137. [DOI] [PubMed] [Google Scholar]
- Laszewicz W, Iwańczak F, Iwańczak B. Seroprevalence of Helicobacter pylori infection in Polish children and adults depending on socioeconomic status and living conditions. Adv Med Sci. 2014;59:147–50. doi: 10.1016/j.advms.2014.01.003. [DOI] [PubMed] [Google Scholar]
- Liu SY, Han XC, Sun J, et al. Alcohol intake and Helicobacter pylori infection: a dose-response meta-analysis of observational studies. Infect Dis (Lond) 2015;20:1–7. doi: 10.3109/23744235.2015.1113556. [DOI] [PubMed] [Google Scholar]
- Malaty HM, Evans DG, Evans DJ, Jr, Graham DY. Helicobacter pylori in Hispanics: comparison with blacks and whites of similar age and socioeconomic class. Gastroenterology. 1992;103:813–6. doi: 10.1016/0016-5085(92)90011-m. [DOI] [PubMed] [Google Scholar]
- Mercanoglu Taban B, Halkman AK. Do leafy green vegetables and their ready-to-eat [RTE] salads carry a risk of foodborne pathogens? Anaerobe. 2011;17:286–7. doi: 10.1016/j.anaerobe.2011.04.004. [DOI] [PubMed] [Google Scholar]
- Miftahussurur M, Tuda J, Suzuki R, et al. Extremely low Helicobacter pylori prevalence in North Sulawesi, Indonesia and identification of a Maori-tribe type strain: a cross sectional study. Gut Pathog. 2014;6:42. doi: 10.1186/s13099-014-0042-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miftahussurur M, Shiota S, Suzuki R, et al. Identification of Helicobacter pylori infection in symptomatic patients in Surabaya, Indonesia, using five diagnostic tests. Epidemiol Infect. 2015;143:986–96. doi: 10.1017/S095026881400154X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moges F, Kassu A, Mengistu G, et al. Seroprevalence of Helicobacter pylori in dyspeptic patients and its relationship with HIV infection, ABO blood groups and life style in a university hospital, Northwest Ethiopia. World J Gastroenterol. 2006;12:1957–61. doi: 10.3748/wjg.v12.i12.1957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ozaydin N, Turkyilmaz SA, Cali S. Prevalence and risk factors of Helicobacter pylori in Turkey: a nationally-representative, cross-sectional, screening with the ¹³C-urea breath test. BMC Public Health. 2013;13:1215. doi: 10.1186/1471-2458-13-1215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patel SK, Pratap CB, Jain AK, Gulati AK, Nath G. Diagnosis of Helicobacter pylori: what should be the gold standard? World J Gastroenterol. 2014;20:12847–59. doi: 10.3748/wjg.v20.i36.12847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peek RM, Jr, Blaser MJ. Helicobacter pylori and gastrointestinal tract adenocarcinomas. Nat Rev Cancer. 2002;2:28–37. doi: 10.1038/nrc703. [DOI] [PubMed] [Google Scholar]
- Peñalvo JL, Céspedes J, Fuster V. Sesame street: changing cardiovascular risks for a lifetime. Semin Thorac Cardiovasc Surg. 2012;24:238–40. doi: 10.1053/j.semtcvs.2012.11.004. [DOI] [PubMed] [Google Scholar]
- Redéen S, Petersson F, Törnkrantz E, et al. Reliability of diagnostic tests for Helicobacter pylori infection. Gastroenterol Res Pract. 2011;2011:940650. doi: 10.1155/2011/940650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Salah BA. Helicobacter pylori infection in developing countries: the burden for how long? Saudi J Gastroenterol. 2009;15:201–7. doi: 10.4103/1319-3767.54743. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Saragih JB, Akbar N, Syam AF, et al. Incidence of Helicobacter pylori infection and gastric cancer: an 8-year hospital based study. Acta Med Indones. 2007;39:79–81. [PubMed] [Google Scholar]
- Shinchi K, Ishii H, Imanishi K, et al. Relationship of cigarette smoking, alcohol use, and dietary habits with Helicobacter pylori infection in Japanese men. Scand J Gastroenterol. 1997;32:651–5. doi: 10.3109/00365529708996513. [DOI] [PubMed] [Google Scholar]
- Syam AF, Rani AA, Abdullah M, et al. Accuracy of Helicobacter pylori stool antigen for the detection of Helicobacter pylori infection in dyspeptic patients. World J Gastroenterol. 2005;11:386–8. doi: 10.3748/wjg.v11.i3.386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Syam AF, Abdullah M, Rani AA, et al. Evaluation of the use of rapid urease test: pronto dry to detect H pylori in patients with dyspepsia in several cities in Indonesia. World J Gastroenterol. 2006;12:6216–8. doi: 10.3748/wjg.v12.i38.6216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Syam AF, Miftahussurur M, Makmun D, et al. Risk factors and prevalence of Helicobacter pylori in five largest islands of Indonesia: a preliminary study. Plos One. 2015;10:e0140186. doi: 10.1371/journal.pone.0140186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tokudome S, Samsuria WD, Soeripto N, et al. Helicobacter pylori infection appears essential for stomach carcinogenesis: observations in Semarang, Indonesia. Cancer Sci. 2005;96:873–5. doi: 10.1111/j.1349-7006.2005.00122.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tokudome S, Soeripto Triningsih FX, et al. Rare Helicobacter pylori infection as a factor for the very low stomach cancer incidence in Yogyakarta, Indonesia. Cancer Lett. 2005;219:57–61. doi: 10.1016/j.canlet.2004.09.043. [DOI] [PubMed] [Google Scholar]
- Watanabe M, Ito H, Hosono S, et al. Declining trends in prevalence of Helicobacter pylori infection by birth-year in a Japanese population. Cancer Sci. 2015;106:1738–43. doi: 10.1111/cas.12821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Webb PM, Knight T, Greaves S, et al. Relation between infection with Helicobacter pylori and living conditions in childhood: evidence for person to person transmission in early life. BMJ. 1994;308:750–3. doi: 10.1136/bmj.308.6931.750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang X, Nishibayashi H, Takeshita T, Morimoto K. Prevalence of Helicobacter pylori infection in Japan: relation to educational levels and hygienic conditions. Environ Health Prev Med. 1999;3:202–6. doi: 10.1007/BF02932259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao Y, Wang J, Tanaka T, et al. Association between HLA-DQ genotypes and haplotypes vs Helicobacter pylori infection in an Indonesian population. Asian Pac J Cancer Prev. 2012;13:1247–51. doi: 10.7314/apjcp.2012.13.4.1247. [DOI] [PubMed] [Google Scholar]
- Zhu Y, Zhou X, Wu J, Su J, Zhang G. Risk factors and prevalence of Helicobacter pylori infection in persistent high incidence area of gastric carcinoma in Yangzhong city. Gastroenterol Res Pract. 2014;2014:481365. doi: 10.1155/2014/481365. [DOI] [PMC free article] [PubMed] [Google Scholar]
