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  • Research article
  • Open Access
  • Open Peer Review

Feco-prevalence and risk factors of Helicobacter pylori infection among symptomatic patients at Dessie Referral Hospital, Ethiopia

BMC Infectious Diseases201818:260

https://doi.org/10.1186/s12879-018-3179-5

  • Received: 31 July 2017
  • Accepted: 30 May 2018
  • Published:
Open Peer Review reports

Abstract

Background

Helicobacter pylori (H. pylori) infection is the most common chronic bacterial infection in the world. It can result in various upper gastroduodenal diseases. The prevalence varies among countries, population groups within the same country and testing methods. The aim of the study was to determine feco-prevalence and risk factors of H.pylori infection among symptomatic patients in Amhara region, Northeast Ethiopia.

Methods

A cross sectional study was conducted in a total of 342 new consecutive outpatients with upper abdominal complaints at Dessie Referral Hospital from May to July, 2016. A structured questionnaire was used to collect the socio-demographic, lifestyle and environmental data. Stool samples were used to detect H. pylori specific antigen. Blood samples were assessed for anti-H. pylori IgG and ABO blood types. SPSS version 20.0 statistical software package was used for data analysis. Chi-square test and logistic regression were used in the analysis and P-value ≤0.05 was considered as statistically significant.

Results

H. pylori stool antigen and serum anti-H.pylori IgG detection rate was 30.4 and 60.5% respectively with kappa measure of agreement of 0.271. Antigen detection was significantly associated with family size (> 3) [AOR = 1.83, 95% CI: 1.10–3.05, p = 0.02], more persons (> 3) sharing the same bed room in the household [AOR = 2.91, 95% CI: 1.39–6.11, p = 0.005], alcohol consumption (> once a week) [AOR = 2.70, 95% CI: 1.49–4.89, p = 0.001] and individuals’ blood type: group O [AOR = 8.93, 95%CI: 1.79–44.48, p = 0.008] and group A [AOR = 5.53, 95%CI: 1.08–28.36, p = 0.040]. Gender, age, marital status, occupation, educational level, residence, smoking as well as coffee, tea, fruits and vegetables consumption were not statistically associated with H. pylori antigen detection (p > 0.05).

Conclusion

The overall H. pylori stool antigen and anti-H. pylori IgG detection rate was 30.4 and 60.5%, respectively. The test agreement was not strongly convincing and needs further evaluation. Alcohol consumption, overcrowding and ABO blood group were significantly associated with H. pylori antigen detection.

Keywords

  • H. pylori
  • Stool antigen
  • Serum IgG
  • Risk factors
  • Ethiopia

Background

H. pylori infects about half of the worlds’ population with higher prevalence in developing than developed countries [13]. The prevalence of H.pylori infection varies among societies and geographical locations, and is influenced by different factors like environmental factors, socio-demographic characteristics, socioeconomic status, hygienic practice and life style of the population [1, 2, 4]. H. pylori infection occurs with an exposure to the bacterium through oral–oral and fecal–oral route [4, 5], but the fecal-oral route was identified to be the most important route of transmission [4].

Besides large numbers of infected individuals remained as asymptomatic [6], H. pylori infection is a major public-health problem both in developed and developing nations. It is the leading cause of different types of upper gastroduodenal tract diseases such as gastric and duodenal ulcer, gastritis and Mucosal-Associated Lymphoid Tissue (MALT) lymphoma [3, 7]. It is also responsible for the development of gastric cancer [8] which is the second leading cause of cancer-related deaths worldwide [9].

Early detection of H. pylori infection using a reliable diagnostic method is important for the successful management and prevention of disease complications. Since the discovery of H. pylori, both invasive and noninvasive tests are used for the diagnosis of infection. Histology, culture, polymerase chain reaction (PCR) and rapid urease test (RUT) are invasive tests that ‘require biopsy specimens [10], whereas stool antigen test, Urea Breath Test (UBT) and serology are the most commonly used noninvasive tests [11, 12].

Even though a variety of diagnostic methods are available, only tests with sensitivity and specificity exceeding 90% are recommended for clinical practice [13]. Even though serology is most commonly used in developing countries it is not appropriate for the diagnosis of active H. pylori infection. This is due to its low specificity (79–83%), and presence of high titer of IgG for years after eradication of infection. This limits its importance to differentiate past and current exposure to H. pylori [2, 14]. However, the UBT and H. pylori stool antigen (HpSA) test are a reliable noninvasive method for detection of active and recent H. pylori infection [15, 16]. In the absence of UBT, the HpSA test is usually recommended for diagnosis of H. pylori infection [17] with a globally observed sensitivity and specificity of 94 and 97%, respectively [18].

Most previous Ethiopian studies employed serology for diagnosis of H. pylori infection and reported higher seroprevalence of H. pylori infection. It is documented that besides lack of specificity, serological test cannot differentiate past and current infection. This puts a major limitation to know the actual incidence and real association of H. pylori infection with potential risk factors. Some studies conducted in the Southern and Central part of Ethiopia reported the feco-prevalence and possible risk factors of H. pylori infection [1922]. However, the reports lack consistency in prevalence and associated factors of H.pylori infection. This needs additional studies in order to document local burden of H. pylori infection and its associated risk factors.

Furthermore, feco-prevalence of H. pylori infection was not documented in the Amhara region of the country, which is quite different in socio-cultural properties of the population, environmental and geographical characteristics as compared to Southern and Central regions of the country. These factors may have an impact on the epidemiology of the disease. Currently, serology is the most commonly used rapid test algorithm for diagnosis of H.pylori infection in Ethiopia. It is valuable for each locality and region to determine the prevalence, identify risk factors associated with the infection and document the role of stool antigen test in comparison to commonly used rapid serologic test. Therefore, the aim of this study was to determine feco-prevalence and risk factors of H. pylori infection among patients with upper abdominal complaints. It also aimed to compare a rapid stool antigen and serologic test for the diagnosis of H. pylori infection.

Methods

Study area

The study was conducted at Dessie Referral Hospital, Dessie town, Amhara Region, North East Ethiopia. Dessie is located about 400 km from the capital of Ethiopia, Addis Ababa. Dessie Referral Hospital is the largest public hospital in the town. Patients with clinical indications of H. pylori infection are routinely tested in the hospital using rapid serological diagnostic tests.

Study design and period

A cross-sectional study was conducted from May to July, 2016.

Sample size and sampling technique

The sample size was determined by using single population proportion formula taking 72.2% prevalence of H. pylori infection among dyspeptic patients [23] with a marginal error of 5, and 95% confidence interval. Accordingly, the total sample size was determined to be 339 with 10% non-response rate. However, during the study period 342 new patients with clinical indications of H. pylori infection were examined at the outpatient department of the hospital and included consecutively. All patients who presented with recurrent upper gastro-intestinal tract symptoms of more than one-month duration were included in the study. Patients treated with any antibiotics, colloidal bismuth compounds, proton pump inhibitors (PPI) or H2 blockers within the last 4 weeks of study enrolment were excluded.

Data collection and laboratory methods

Questionnaires

A structured and pre-tested “Amharic version” (local language) questionnaire was used for data collection. Prior to data collection the questionnaire was administered to 15 participants with upper gastrointestinal symptomatic patients to assess the clarity and understandability of questions. The questionnaire was administered for each adult participant/children guardian to collect information on the socio-demographic characteristic, hygienic practices and lifestyle factors such as alcohol, tea, coffee, raw fruits and vegetables consumption as well as cigarette smoking. For participants who can’t read and write, interview was employed.

Clinical sample collection and analysis

ABO blood grouping and serological detection of H. pylori

About 5 ml of venous blood was collected from each participant aseptically through venipuncture and Anti- H. pylori antibody (IgG) detection as well as ABO blood grouping was made. Immediately after collection some portion of whole blood was used to determine ABO and Rh blood group by slide agglutination test using monoclonal anti-A, anti-B, anti-AB and anti-D (Rh) antibodies according to manufacturer’s recommendation. Some portion of collected blood was allowed to clot in a test tube and centrifuged at 3000 RPM for 10 min and serum was separated. The antibody was detected by one-step rapid test device (Zhejiang Orient Gene Biotech Co., LTD, china; http://www.orientgene.com/asp-en/home/index.aspx). The appearance of color band on both test and control line was interpreted as positive but color band only on the control line is interpreted as negative result. All tests were performed following the manufacturer’s instructions.

H. pylori antigen detection

Small amount of fresh stool sample was collected from each participant in sterile, wide mouth and screw caped containers. The presence of H. pylori antigen was determined using monoclonal anti-H. pylori antibody conjugated with colloid gold nitrocellulose membrane strip (Rapid stool antigen test) based on a lateral flow chromatographic immunoassay technique. Specimens were tested using stool antigen test strip (Guangzhou Wondfo Biotech CO., Ltd., China; https://www.bloomberg.com/research/stocks/private) with sensitivity and specificity of 99.1 and 99.2%, respectively. Test results were read and interpreted according to the manufacturer’s instructions.

Data analysis

Data was coded, entered and analyzed using SPSS Version-20 (SPSS INC, Chicago, IL, USA). Results were summarized using descriptive statistics. Cohen’s Kappa statistics was performed to assess the agreement of rapid serological test (anti-H. pylori IgG) and rapid stool antigen detection. Chi-square test and binary logistic regression analysis were performed to check the presence of association between dependent variable (presence of H. pylori antigen) and independent variables. Furthermore, possible risk factors with a P value of < 0.2 in univeriate analysis were selected for further stepwise analysis with multiple logistic regression model. The OR and 95% confidence interval (CI) were used to estimate the risk factors independently associated of H. pylori infection. Finally, a P value of ≤0.05 was accepted as statistically significant.

Results

Socio-demographic, lifestyle and hygienic characteristic of study participants

Out of 342 participants, 189 (55.3%) were females. Majority of study participants 114 (33.3%) were in the age group 31–40 years. The mean (±SD) age of participants was 36.61 ± 13.2 years with range 4 to 77 years. Majority of participants 218 (63.7%) were married and urban dwellers account 210 (61.4%). One hundred sixty-seven (48.8%) participants were living in a family having four or more members (Table 1).
Table 1

Feco-prevalence of H. pylori infection against socio demographic, characteristics of symptomatic patients in Dessie Referral Hospital, Northeast Ethiopia, 2016 (n = 342)

Variables

freq (%)

HpSA (+)

No (%)

χ 2

p-value

Sex

Male

153 (44.7)

43 (28.1)

0.70

0.404

Female

189 (55.3)

61 (32.3)

Age in years

≤ 20

30 (8.7)

7 (23.3)

1.60

0.809

21–30

94 (27.5)

26 (27.7)

31–40

114 (33.3)

38 (33.3)

41–50

53 (15.5)

17 (32.1)

> 50

51 (14.9)

16 (31.4)

Marital status

Married

218 (63.7)

65 (29.8)

0.1

0.752

Not married

124 (36.3)

39 (31.5)

Residence

Rural

132 (38.6)

41(31.1)

0.04

0.836

Urban

210 (61.4)

63 (30)

Occupation

Government

111 (32.5)

32 (28.8)

1.40

0.924

Student

45 (13.2)

15 (33.3)

Farmer

69 (20.2)

24 (34.8)

Merchant

51 (14.9)

15 (29.4)

Housewife

53 (15.5)

15 (28.3)

Others

13 (3.8)

3 (23.1)

Education

No legal education

53 (15.5)

18 (34.0)

4.31

0.366

Grade 1–4

28 (8.2)

10 (35.7)

Grade 5–8

58 (17.0)

15 (25.9)

Grade9–12

78 (22.8)

29 (37.2)

College/university

125 (36.5)

32 (25.6)

Person sharing the same bed room in the household

1

77 (22.5)

18 (23.4)

10.14

0.006*

2 to 3

181 (52.9)

49 (27.1)

> 3

84 (24.6)

37 (44.0)

Family size

1–3

175 (51.2)

41 (23.4)

8.25

0.004*

> 3

167 (48.8

63 (37.7)

Key: * = Significant associations exist

An assessment on the food habits of the study participants revealed that 67.8 and 61.7% had a habit of tea and coffee consumption respectively; 53.5% had never drank alcohol in their life and 58.8% had a habit of eating raw fruits and/or vegetables at least once a week. About 94.2% (322) of participants had a habit of hand washing before eating and after visiting toilet; 282 (82.5%) used tap water for daily consumption. The frequency of blood group O was 137 (40.1%) and 326 (95.3%) were with rhesus positive (Rh + ve) blood type (Table 2).
Table 2

Association of HpSA detection with respect to genetic, hygiene and lifestyle factors of symptomatic patients in Dessie Referral Hospital, Northeast Ethiopia, 2016 (n = 342)

Variables

Freq (%)

HpSA(+)

χ 2

p-value

=no (%)

Alcohol drinking

Never

183 (53.5)

48 (26.2)

6.26

0.044*

Once a week

71 (20.7)

20 (28.2)

>Once a week

88 (25.7)

36 (40.9)

Raw fruit and vegetable eating

Never

85 (24.9)

29 (34.1)

7.06

0.029*

At least once a day

56 (16.4)

24 (42.9)

At least once a week

201 (58.8)

51 (25.4)

Drinking water source

Tap water

282 (82.5)

86 (30.5)

0.01

0.939

Non-tap water

60 (17.5)

18 (30.0)

Hand washing before eating

Yes

322 (94.2)

97 (30.1)

0.21

0.646

No

20 (5.8)

7 (35.0)

Hand washing after toilet

Yes

322 (94.2)

94 (29.2)

3.85

0.050*

No

20 (5.8)

10 (50.0)

Cigarette smoking

Yes

18 (5.3)

4 (22.2)

0.60

0.438

Never

324 (94.7)

100 (30.9)

Tea consumption

Yes

232 (67.8)

65 (28.0)

1.95

0.163

No

110 (32.2)

39 (35.5)

Coffee consumption

Yes

211 (61.7)

70 (33.2)

1.99

0.158

No

131 (38.3)

34 (26.0)

ABO Blood group

Type A

87 (25.4)

24 (27.6)

10.35

0.016*

Type B

96 (28.1)

25 (26.0)

Type O

137 (40.1)

53 (38.7)

Type AB

22 (6.4)

2 (9.1)

Rhesus (Rh)

Rh + ve

326 (95.3)

96 (29.4)

3.04

0.081

Rh-ve

16 (4.7)

8 (50.0)

Key: * = Significant associations exist

Prevalence of H. pylori infection

HpSA and Anti-H.pylori IgG detection rate were 30.4 and 60.5%, respectively. Eighty-eight (25.7%) and 119 (34.8%) participants were positive and negative for both tests, respectively. Kappa measures of agreement between results of HpSA testing and IgG antibody serology was 0.271 (p < 0.0001, 95% CI: 0.191–0.351), but it was not strongly convincing since discordant results were observed for 135 individuals (39.5%): 16 (4.7%) were positive on HpSA test but negative by serology and 119 (34.8%) were IgG seropositive but had negative HpSA tests.

Socio-demographic characteristics and feco-prevalence of H. pylori infection

Pearson’s chi-square test showed that HpSA detection was significantly associated with number of persons sharing the same bedroom in the family (χ2 = 10.14, p = 0.006) and family size in the household (χ2 = 8.25, p = 0.004). However, other socio-demographic variables did not show any association (P > 0.05) (Table 2).

HpSA detection with respect to genetic, hygiene condition and lifestyle factors

Pearson’s chi-square test revealed that hand washing after visiting toilet (χ 2 = 3.85, P = 0.05), ABO blood phenotype (χ2 = 10.35, p = 0.016), alcohol drinking (χ2 = 6.26, p = 0.04) and raw fruits and/or vegetables (χ2 = 7.06, p = 0.029) eating showed statistically significant association with HpSA detection.

Clearing the possible confounders, multiple logistic regression analysis showed that HpSA detection was significantly associated with ABO blood group type O [AOR = 8.93, 95% CI: 1.79–44.48, p = 0.008] and type A [AOR =5.53, 95% CI: 1.08–28.36, p = 0.040]; overcrowding: family size greater than three [AOR = 1.83, 95% CI: 1.10–3.05, p = 0.02] and greater than three persons sharing the same bed room in the family [AOR = 2.91, 95% CI: 1.39–6.11, p = 0.005]. A multivariate analysis also clearly noted that alcohol consumption greater than once a week can increase the risk of H. pylori infection by 2.7 times as compared to those who had never drank alcohol [AOR = 2.70, 95% CI: 1.49–4.89, p = 0.001]. However, other variables as shown in Table 3 didn’t show any association with antigen detection.
Table 3

Regression analysis of factors associated with feco-prevalence of H. pylori among symptomatic patients in Dessie Referral Hospital, Northeast Ethiopia, 2016 (n = 342)

Variable

Freq

HpSA (+) = no/%

COR(95%CI)

AOR(95%CI)

p-value

Family size

  < 4

175

41(23.4)

ref

ref

 

  ≥ 4

167

63(37.7)

1.98(1.24--3.17)

1.83(1.10--3.05)

0.020*

Hand washing after toilet

 Yes

322

94(29.2)

ref

ref

 No

20

10(50.0)

2.43(0.98--6.02)

2.5(0.92–6.79)

0.073

Eating raw fruit and vegetable

 Never

85

29(34.1)

ref

ref

 

 At least once a day

56

24(42.9)

1.45(0.72--2.90)

1.38(0.64--2.96)

0.407

 At least once a week

201

51(25.4)

0.66(0.38--1.14)

0.64(0.35--1.18)

0.151

Tea consumption

 Yes

232

65(28.0)

ref

 No

110

39(35.5)

1.41(0.87–2.29)

Coffee consumption

 Yes

211

70(33.2)

ref

 No

131

34(26.0)

0.71(0.44–1.145)

Alcohol drinking

 Never

183

48(26.2)

ref

ref

 

 Once/week

71

20(28.2)

1.10(0.60--2.04)

1.35(0.69–2.63)

0.382

  > once/week

88

36(40.9)

1.95(1.14--3.33)

2.70(1.49–4.89)

0.001*

ABO Blood group

 Type A

87

24(27.6)

3.81(0.83–17.55)

5.53(1.08–28.36)

0.040*

 Type B

96

25(26.0)

3.52(0.77–16.15)

5.01(0.98–25.72)

0.054

 Type O

137

53(38.7)

6.31(1.42–28.1)

8.93(1.79–44.48)

0. 008*

 Type AB

22

2(9.1)

ref

ref

 

Persons per room

 1

77

18(23.4)

ref

ref

 

 2 to 3

181

49(27.1)

1.22(0.65–2.27)

1.26(0.65–2.43)

0. 495

  > 3

84

37(44.0)

2.58(1.31--5.10)

2.91(1.39–6.11)

0.005*

Key: * = Significant association Exist; AOR adjusted odds ratio, COR crude odds ratio

Discussion

H. pylori infection is an important public health issue globally with high prevalence among developing countries [13]. In this study the overall stool antigen and serum IgG detection rate of H. pylori infection was 30.4 and 60.5% respectively. Antigen detection rate is comparable with the work of Alim et al. 29.6% [24] and Balan et al. 28.4% [25]. However, a lower prevalence rate was reported from Pakistan 25% [26] and a higher prevalence rate was documented in Turkey 36.6% [27], Japan 56.4% [28], Iran (53.5%) [29] and Ethiopia 50.7–58.3% [1922]. The observed variation of infection rate might be attributed to differences in study area, sample size, personal hygienic condition, and the socio-economic status as well as life style of persons contributing for risk of infection. Moreover, the difference in the sensitivity and specificity of employed stool antigen tests may also affect the detection rate of infection.

In our study, even though the agreement of H. pylori stool antigen and serum IgG detection is statistically significant, it is not strongly convincing [Cohen’s Kappa =0.271, p < 0.0001, 95% CI: 0.191–0.351]. Serum IgG detection over estimates H. pylori infection (60.5%) as compared to stool antigen detection which is similar to report of Alim et al. 69% [24], Shimoyama et al. 61.4% [28] and Balan et al. 35.8% [25]. The observed high seroprevalence of H. pylori infection in our study could be explained due to the following key facts: 1) It is clearly known that during H. pylori infection IgM is the first and early antibody to be produced [30], and later IgG develops [31], which remain with high titer and detectable indefinitely even after eradication of H. pylori. 2) Detection of IgG to H. pylori may not differentiate between current and past infection which leads to an overestimation of the prevalence [30]. Even though H. pylori stool antigen detection do not distinguish between live and dead bacteria, it is advantageous to detect early and specific exposure to the bacterium as compared to serology [32].

H. pylori feco-prevalence was not significantly associated with age, sex, residence, occupation and educational level (p > 0.05). Conflicting reports were documented between association of above mentioned factors and H. pylori infection. The significant role of age for acquiring H. pylori infection was documented elsewhere [19], but it contrasts our result where no significant association was observed between age and H. pylori infection. Similarly, previous studies conducted in Ethiopia showed no significant association between age and H. pylori infection [22, 33]. In the current study, there is no significant association between gender and H. pylori infection, which is in agreement with other previous studies that indicated no gender difference in H. pylori infection status [19, 33]. However, some authors indicated that female [22] and male [21] were at higher risk of infection against their counter parts.

In our study, residence and marital status were not significantly associated with feco-prevalence. Previous reports in Ethiopia also showed no significant association with marital status [21, 22] and residence [21]. However, higher prevalence rate of H. pylori infection was observed among individuals living in rural and suburban area [22, 34], which differs from our result. This might be due to high number of (61.4%) urban dwellers in our study. In our study, stool antigen detection also did not show any significant association with type of occupation which is in line with previous study in Ethiopia [22], but it contradicts to other study where agrarians were more affected [21]. This discrepancy could be due to the geographical as well as socio-economic differences, which may lead to occupational difference. Moreover, majority of our study participants were urban dwellers that are not involved in agricultural practice. Likewise, no statistically significant association was observed between H. pylori feco-prevalence and educational attainment, which is in agreement to other studies in Ethiopia [21, 22].

H. pylori feco-prevalence was significantly associated with large (> 3) family size and number of persons (> 3) sharing the same bed room in the household. This is similar to other findings where large family size significantly associated with H.pylori infection [21, 34]. However, it differs from other study where no significant difference was detected with respect to family size [22]. This variation may be due to sample size difference. Moreover, factors contributing for the transmission of a bacterium may differ with geographical location and study population. Scholars also indicated that crowding condition is a risk for H. pylori infection [35] which could explain the observed significant association in this study.

This study also showed a significant association between ABO blood groups and stool antigen detection. Individuals with blood group type O were about nine times (Table 3) at higher risk of infection as compared to blood group type AB, which is contrary to other studies that did not show any significant association [21, 22, 33, 34]. However, a stratified meta-analysis indicated that O blood group of dyspeptic patients were significantly associated with H. pylori infection [36]. The association of blood group type O and H. pylori infection could be related to the expression of carbohydrate receptors of H. pylori into gastric tissues in greater quantities among individuals with O blood group [37].

There are conflicting reports on the association between alcohol consumption and H. pylori infection. In Ethiopia, Kibru et al. [19] reported that alcohol consumption protects against H. pylori infection but Dilnessa et al. [22] showed no significant association in his report. Furthermore, frequent consumption of alcohol (>once/week) showed no significant association but less frequent consumption (<once/week) was protective [21]. In Germany, an inverse relationship was also documented between amount of alcohol consumption and H. pylori infection [38, 39] as moderate amount of alcohol consumption in the form of wine and beer protects against H. pylori infection [40]. However, the current study is in opposition to previously mentioned studies [19, 21, 22, 3840] as frequent consumption of alcohol (>once/week) was significantly associated with feco-prevalence of H. pylori (p = 0.001). But our result is in line with previous report as large amount of alcohol consumption is positively associated with active H. pylori infection [41].

The reason for these contradictory results might be due to difference in types and amounts of consumed alcoholic beverages. In Ethiopia, common local alcoholic drinks are “Tella”, “Teji” “Araki” and “beer” which are quite different in alcohol content. The significant association in our study could be explained due to the hypothesis that heavy alcohol consumption facilitates H. pylori infection by damaging the gastric mucosa. Besides the damaged gastric mucosa, bacterial adherence and host factors may also be involved in the synergistic effect for infection.

H. pylori stool antigen detection was not statistically associated with coffee consumption which is similar to previous reports from Ethiopia [22] and England [40], but differs from Germany where coffee consumption showed a positive dose response relation with active H. pylori infection [38]. This contradictory result might be due to variation in type, frequency as well as amount of daily consumed coffee which needs further study. In our study, smoking also did not show any significantly association with H. pylori feco-prevalence which is similar to other studies in Ethiopia and elsewhere [21, 22, 38]. This is possibly attributed to H. pylori eradication by increasing gastric acid secretion by smoking. Similarly, no significant association was observed between source of drinking water and H. pylori infection which is in line with previous studies in Ethiopia [21, 22]. In the current study, the observed lower contribution of source of water to H. pylori infection is probably due to type of study participants in which majority of them used pipe water for their daily consumption.

The current study showed no significant association between H. pylori infection and raw fruits and vegetables consumption which is in line with previous study [21]. No statistically significant association was also observed between tea consumption and H. pylori infection. Lack of association of above factors might be due to difference in types and amount of consumed tea, fruits and vegetables that may have different spectrum of antibacterial activity. Further analytical study designed to determine the effect of quantity and ingredient analysis is, therefore, warranted to document the real association of H. pylori infection, fruits, vegetables and tea consumption.

There are a few limitations of this study. The study population was only symptomatic patients presented to the hospital, which limits the actual prevalence of infections and do not totally reflect the number of infected individuals in the community. Besides cross-sectional, all information on life style factors was collected by a self-administered questionnaire without determination of amount, types and biological markers. As compared to currently recommended stool antigen test (ELISA), relatively less sensitivity and specificity of the currently utilized test could underestimate and overestimate the burden of the disease respectively. Moreover, the small sample size may have an impact on the observed association variables, and thus, interpretations should be made cautiously.

Conclusion

The overall H. pylori stool antigen and anti-H. pylori IgG detection rate were 30.4 and 60.5% respectively. Even though statistically significant, the agreement between results of HpSA testing and IgG antibody serology was not strongly convincing. Feco-prevalence was significantly associated with overcrowding, alcohol consumption, and ABO blood group. However, no significant association observed between other sociodemographic variables, lifestyle factors and H.pylori stool antigen detection. Further studies with representative larger numbers of subjects should address the impact of life style factors such as smoking, and drinking practices particularly the type and amount of daily consumption of tea, coffee, alcoholic beverage; types of fruits and vegetables taken that might affect incidence of H. pylori infection.

Abbreviations

AOR: 

Adjusted oddis ratio

COR: 

Crude oddis ratio

HpSA: 

H.pylori stool antigen

IgG: 

Immunoglobulin G

MALT: 

Mucosal-Associated lymphoid tissue

PCR: 

Polymerase chain reaction

PPI: 

Proton pump inhibitor

RUT: 

Rapid urease test

UBT: 

Urea breath test

Declarations

Acknowledgments

The authors would like to express their gratitude to Wollo University for the financial support provided in the study. Likewise, we would like to acknowledge all the study participants who volunteered to give samples and respond to the questionnaire. Our special thanks goes to the Dessie Referral Hospital administration for their unreserved support during the data collection. Finally, we would like to thank Mr. Beju Ayele and Mr. Adugna Tesema who participated as data collector.

Funding

This study was supported by Wollo University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

The authors confirm that all data underlying the findings are fully available with corresponding author and within the manuscript. The underlying data cannot be shared publicly due to the presence of sensitive (confidential) participants’ information. Corresponding author will be communicated if the need arises for further clarification of the findings under the manuscript.

Authors’ contributions

AS is the principal investigator of the study and he performed the design of the study, data management, study supervision, analysis, interpretation of data and manuscript preparation. WD: involved in the designing, supervision, acquisition of data and critical review of the manuscript. Both authors read and approved the final manuscript for publication.

Ethics approval and consent to participate

The study was reviewed and approved by the Ethical Review Committee of the College of Medicine and Health Science, Wollo University. Permission to conduct the study was also obtained from the Hospital Administration. Written informed consent was obtained from each study participant (or their parent or legal guardian in the case of children under 18) before data collection and results were kept confidential. Any result that was necessary for the patient was communicated with the attending physician for appropriate management.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Medical Laboratory Science, College of Medicine and Health Sciences, Wollo University, P.O. Box 1145, Dessie, Ethiopia

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