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Article

Association between Dietary Habits and Helicobacter pylori Infection among Bahraini Adults

by
Fatema Habbash
1,2,*,
Tariq Abdulkarim Alalwan
3,
Simone Perna
3,*,
Naila Ahmed
4,5,
Omar Sharif
4,5,
Adel Al Sayyad
1,6,
Clara Gasparri
7,
Cinzia Ferraris
8 and
Mariangela Rondanelli
9,10,*
1
Department of Family and Community Medicine, Arabian Gulf University, Manama 329, Bahrain
2
Family and Community Medicine, Internal Medicine Department, King Abdullah Medical City, Manama 328, Bahrain
3
Department of Biology, College of Science, University of Bahrain, Sakhir P.O. Box 32038, Bahrain
4
Department of Gastroenterology, King Hamad University Hospital, Muharraq 228, Bahrain
5
Department of Internal Medicine, The Royal College of Surgeons in Ireland, Muharraq 228, Bahrain
6
Public Health, Ministry of Health, Manama 323, Bahrain
7
Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ‘‘Istituto Santa Margherita’’, University of Pavia, 27100 Pavia, Italy
8
Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
9
IRCCS Mondino Foundation, 27100 Pavia, Italy
10
Unit of Human and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
*
Authors to whom correspondence should be addressed.
Nutrients 2022, 14(19), 4215; https://doi.org/10.3390/nu14194215
Submission received: 12 September 2022 / Revised: 25 September 2022 / Accepted: 30 September 2022 / Published: 10 October 2022
(This article belongs to the Special Issue Nutrition in Chronic Conditions)
Versions Notes

Abstract

:
Helicobacter pylori (H. Pylori) infection is the main bacterial cause of several gastrointestinal disorders. This study aims to estimate the prevalence of H. pylori infection in a population of Bahraini adults seeking care in gastroenterology clinics in a tertiary care hospital in the Kingdom of Bahrain and examine the association between dietary habits and other factors with H. pylori infection. The study is a hospital-based retrospective, cross-sectional analytical study that included 200 participants. H. pylori infection prevalence among the studied group was 55.5%, and it was significantly higher among participants with a high school education or less (44.1%). Among dietary habits, the mean of frequency of green tea, coffee and honey intake was significantly lower among the H. pylori infected participants compared to their non-infected counterparts. H. pylori infection was significantly higher among participants with vitamin D deficiency (63.6%) compared to participants with normal vitamin D (30%) (p = 0.001) and each unit decrease in serum vitamin D was associated with an increased risk of infection by 1.1 times (OR = 1.1; 95% CI: 1.05, 1.18; p < 0.001). The study revealed that high educational levels, consumption of honey, green tea, and coffee, as well as normal serum vitamin D level, were independent protectors against H. pylori infection. Additional studies are needed to estimate the prevalence and predisposing factors of H. pylori infection in the general population.

1. Introduction

Helicobacter pylori (H. pylori) is a Gram-negative spiral-shaped bacterium, which colonizes and grows in human gastric epithelial tissue and mucosa [1]. More than 50% of the global population are infected by H. pylori especially in developing countries and among populations with low socioeconomic status [2]. H. pylori is usually transmitted through the feco-oral route due to ingestion of contaminated water or food, but it can be transmitted through direct contact with saliva and vomitus [3,4]. The microorganism was classified as a group 1 carcinogen [5] and it causes various upper gastrointestinal (GI) disorders including gastritis, gastroduodenal ulcer diseases, and gastric adenocarcinoma [6]. The latter was recognized to be the fourth-leading cause of cancer-related deaths worldwide in 2020 [7].
Acquisition and various disease outcomes of H. pylori infection are intermediated by complex interactions between bacterial virulence, host, and environmental factors [8]. There is a high level of disparity in H. pylori genetic recombination and these genetic differences might exist even in H. pylori colonizing the same individual [9]. Host genetic background might contribute to protection from infection with H. pylori infection [9]. Some factors associated with H. pylori infection include age, gender, ethnicity, educational level, and household income [10]. Furthermore, the crowding index, living standards which include sanitation and hygiene, and the source of drinking water have all been shown to be associated with H. pylori infection [11]. Findings related to the relationship between smoking and H. pylori infection in previous studies are conflicting [12,13,14,15].
Over the past years, epidemiological studies have found that diet plays a significant role in the development of H. pylori infection and investigated the association between the intake of certain foods and nutrients and the development of such infection [16,17,18]. Some studies have reported that salty, pickled, fermented, or smoked foods increased the risk of H. pylori infection [19,20]. On the other hand, other studies have shown that antioxidant-rich fruits and vegetables were protective against H. pylori infection [21,22,23]. Moreover, it was reported that lower intakes of raw vegetables were significantly associated with a higher risk of H. pylori infection [17]. Similarly, meat consumption and consumption of restaurant food were associated in some studies with an increased risk of H. pylori infection, while chili pepper intake was shown to have a protective effect [12,17]. In addition, some studies revealed a protective effect of honey and green tea consumption against H. pylori infection [24,25,26]. Coffee consumption has been linked to several health benefits and some studies found an inverse association between coffee consumption and the systemic levels of some inflammatory markers [27]. However, it was reported that frequent consumption of coffee was associated with an increased rate of H. pylori infection and exacerbation of H. pylori-related gastritis symptoms [18,28]. Some studies did not find any association between coffee consumption and H. pylori infection [10,29,30]. In addition, the relationship between H. pylori infection and several modifiable cardio-metabolic risk factors was reported in the literature [31,32,33].
Risk factors associated with H. pylori infection, especially lifestyle and dietary habits, have not been investigated thoroughly in the Kingdom of Bahrain. Given the high burden of H. pylori infection in developing countries and the high prevalence of modifiable cardio-metabolic risk factors in the Middle East and North Africa (MENA) region, including the Kingdom of Bahrain, a study investigating the relationship between predisposing factors to H. pylori infection including dietary habits is warranted. This study aims to provide preliminary data regarding H. pylori infection prevalence and predisposing factors among a group of Bahraini adults followed in the Gastroenterology (GE) unit in a tertiary care hospital. The findings of this study will help in the future planning of appropriate preventive, diagnostic, and treatment strategies for H. pylori infection.

2. Materials and Methods

2.1. Study Design, Setting and Duration

This hospital-based retrospective cross-sectional, analytical study was conducted in the Gastroenterology unit in King Hamad University Hospital (KHUH) in the Kingdom of Bahrain between the period of January and September 2021. It combines data from medical records for H. pylori status, other comorbidities, and biochemical parameters with sociodemographic, lifestyle, and dietary habits information using a tele-interview.

2.2. Study Participants

Participants were recruited if they were 18 years or above, Bahraini, following treatment in GE unit in KHUH, and had done H. pylori testing within the previous 18 months with either upper GI tract endoscopy biopsy testing or UBT, or both. Patients with updated medical records within the past 18 months were eligible. Patients were excluded if they had a history and/or documentation of H. pylori eradication therapy prior to H. pylori testing, had a previous diagnosis of cancer, inflammatory diseases such as coeliac disease, inflammatory bowel disease, or certain food allergies, or had a history of gastric or intestinal surgery or previous gastric perforation or hemorrhage. Patients who were tested for H. pylori status by methods other than upper GI tract endoscopy biopsy testing or UBT were not included. Women who were pregnant at the time of the study or previously pregnant within the past 18 months were excluded since their dietary habits might be changed during pregnancy.

2.3. Sample Size

Sample size was calculated assuming the following parameters: alpha error = 0.05, power = 80%, expected effect size: odds ratio (OR) = 1.4 (for the diet as a risk factor), prevalence of H. pylori (outcome) = 0.50. A total of 200 patients were included in the study.

2.4. Research Tools

A validated structured questionnaire was used as the instrument for data collection.
The questionnaire contains four sections to collect data on sociodemographic, lifestyle, dietary habits, and medical conditions and biomarkers. Assessment of dietary habits and the frequency of consumption of food and beverages items were assessed by combining a validated short version FFQ that was used in previous studies [10,34], the Bahraini FFQ which is in process of validation, and some food and beverages included based on findings from the literature (honey, green tea, and soft drinks). The frequency of consumption for the past 18 months was assessed by selecting one of five categories “less than once per month/none”, “1–2 times/month”, “1–2 times/week”, “3–4 times/week” and “every day”. The last section involved data collected from the participant’s medical records which included documentation of comorbidities such as type 2 diabetes (T2D), hypertension and hyperlipidemia, systolic and diastolic blood pressure (BP) (mmHg), height (cm), and weight (kg), FBS (mmol/L), HbA1c as a percentage (DCCT unit), total cholesterol (mmol/L), low-density lipoprotein (LDL) (mmol/L), high-density lipoprotein (HDL) (mmol/L), triglycerides (TG) (mmol/L) and vitamin D level (ng/mL). H. pylori status (positive vs. negative) was determined upon the result of either UBT, upper GI tract biopsy testing, or both, which had been done within the previous 18 months. The method used for diagnosis was recorded.

2.5. Data Collection and Procedures

A structured electronic questionnaire was used by five trained interviewers during telephone interviews to document the consent of participants and collect data related to sociodemographic, lifestyle, and dietary habits. H. pylori status and medical data were retrieved from the medical records and documented in the electronic questionnaire form prior to submission. All questionnaires were collected centrally by the main investigator to ensure confidentiality.

2.6. Data Entry

Information obtained on anthropometric and biochemical measurements were recoded as binary (normal level versus not) based on widely known cutoff levels for each parameter. These BMI categorization and cut-point values for biomarkers were based on international and national recommendations [35,36,37,38,39].

2.7. Statistical Analysis

All data were entered and analyzed using the Statistical Package for the Social Sciences (SPSS) version 26 (Chicago, IL, USA) software. Categorical variables were computed as frequencies and percentages, and continuous (numerical) variables were computed as mean and standard deviation. Student’s t-test was conducted to examine differences of means. The Chi-Square test was used to compare frequency distributions of categorical variables. The frequency of food and beverages consumption per week was converted into a numerical scale (less than once per month/None = 0, 1–2 times/month = 1, 1–2 times/week = 2, 3–4 times/week = 4, and everyday = 7). The mean for each item was calculated for H. pylori positive and negative groups. Univariate logistic regression was employed to evaluate the crude association between dietary factors and H. pylori status. Binary logistic regression was used to explore the risk factors that affect the presence of H. pylori. The odds ratio (OR) was calculated using a 95% confidence interval (CI). A p-value of ≤0.05 was statistically significant in all statistical tests used. The internal consistency reliability using Cronbach’s alpha coefficient was used to verify the reliability of the food frequency questionnaire.

3. Results

3.1. The Prevalence of H. pylori Infection among the Study Participants

In the present study, 200 participants were recruited. The prevalence of H. pylori infection among the study population was 55.5% (95% CI: 48.7%, 62.3%). H. pylori status was determined in more than half of the participants (51%) by gastric biopsy testing, 35.5% by a urea breath test, and 13.5% by both methods (Table S1).

3.2. Sociodemographic Characteristics of the Study Participants

Table 1 presents the sociodemographic characteristics of the study participants and the association between the sociodemographic characteristics and H. pylori infection. The age range of the participants was between 18 to 79 years and the mean age was 51.4 years (95% CI: 49.5–53.3). The proportion of females was larger than males (57% vs. 43%). The majority of participants were married (80%) and with a high school education or less (70.5%).

3.3. Association of Sociodemographic Characteristics and Lifestyle Factors with H. pylori Infection

H. pylori infection was significantly higher among participants with high school education or less compared to those with college/university education (p = 0. 035) (Table 1). H. pylori infection was more prevalent among smokers (73.9%) compared to non-smokers (53.1%); however, the difference was not statistically significant (Table 2). There was no significant association between H. pylori infection and any of the lifestyle factors investigated in this study (Table 2).

3.4. Association between Dietary Habits and H. pylori Infection

Table 3 demonstrates the differences and associations between the frequency of consumption of food and beverages in H. pylori positive and negative participants. There was a significant negative relationship between the mean level of green tea (p = 0.012), honey (p = 0.018), and coffee consumption (p = 0.007) with H. pylori infection. The mean of frequency of green tea, coffee, and honey intake was significantly lower among the H. pylori infected participants compared to their non-infected counterparts. There was no significant association between the mean level of frequency of consumption of other food and beverage items and H. pylori infection.
Table 4 shows that the H. pylori positivity rate was significantly lower (38.6%) in green tea consumers ≥ 1 day/week compared with their counterparts (60.3%) (p = 0.0011). Logistic regression analysis showed a lower risk of H. pylori infection in participants who consume green tea ≥ 1 day/week (OR, 0.011; 95% CI, 0.23–0.92). H. pylori positivity rate was lower (50%) in coffee consumers ≥ 1 day/week compared with their counterparts (63.4%) and in honey consumers ≥ 1 day/week (48.8%) compared with the other participants (60.5%), but this difference was not statistically significant (Table 4).
As shown in Table 5, H. pylori infection was more prevalent among participants who consumed well water during childhood as the main source of drinking water (66%), chili peppers (58.8%), salty foods (60.6%), and restaurant meals more than three times a week (59%); however, the differences were not statistically significant.

3.5. Association of Some Medical Conditions and Biomarkers of the Study Participants with H. pylori Infection

Table 6 shows some of the medical conditions and biochemical markers of the study participants and their association with H. pylori infection. H. pylori positivity rate among participants who were overweight (58.9%) or obese (50.50.5%) was higher compared to participants with normal BMI (48.1%); however, this difference was not statistically significant. The proportion of H. pylori was higher among participants with hyperlipidemia (61.7%), and abnormally high levels of LDL (57.7%) as compared to their counterparts. H. pylori infection was significantly more prevalent among participants with vitamin D deficiency (63.6%) compared to participants with normal vitamin D levels (30%) (p = 0.001).

3.6. Bivariate Logistic Regression Analysis of Some of the Variables

Table 7 gives an overview of the results of the bivariate logistic regression analysis. Participants with a high school degree or below were 1.38 times more likely to develop H. pylori infection compared to participants with a college/university degree, but the difference is not statistically significant (p = 0.474). In addition, smokers were 3.58 times more likely to develop H. pylori compared to non-smoker participants, but the difference is not statistically significant (p = 0.129). Finally, the risk of H. pylori infection increases by 1.11 per one unit decrease of vitamin D (OR: 1.11, 95% CI of 1.05, 1.18, p < 0.001).

4. Discussion

The present study estimated the prevalence of H. pylori infection in a population of Bahraini adults seeking care at tertiary level and investigated the relationship between several factors including dietary habits and H. pylori infection. The overall prevalence of H. pylori infection found in this study was 55.5%. This is comparable to the prevalence of 59.4% reported by Alshaikh et al. (2021) in a recent retrospective study conducted in the Kingdom of Bahrain [40]. Interestingly, previous studies conducted more than 20 years back on samples of dyspeptic adult patients who underwent gastroscopy in a tertiary care hospital in Bahrain revealed prevalence ranges between 75% and 79.4% [41,42]. These findings could suggest a decreasing trend of H. pylori infection among symptomatic patients specifically, which raises a question if that the decreasing trend of H. pylori infection observed in symptomatic patients applies to the general population of Bahrain. The prevalence found in this study is near to the prevalence of 52.4% reported by Assaad et al. (2018) in a study conducted in Lebanese patients referred for upper GI endoscopy [10]. However, a lower prevalence was reported in studies conducted in dyspeptic patients in Oman (41%) and in Jazan Province in Saudi Arabia (46.5%) [30,43]. Many studies conducted in the Middle East/North Africa (MENA) region including Iran, Egypt, and Turkey reported higher infection rates which reached 86.8% in Iran [14,31,44]. The prevalence of H. pylori among subjects with dyspepsia in the United States, Brazil, and China was 28.9%, 57%, and 84% respectively [43]. The difference in the prevalence of H. pylori infection observed in different studies might be due to variation in the study design, sample size, study setting, the period in which the study was conducted, participants’ characteristics, ethnicities of the sample, and testing methods used to determine H. pylori status. In addition, variation in bacterial virulence and stereotypes, antibiotic resistance, environment, living standards, socioeconomic and lifestyle factors, and dietary habits in different contexts could affect this prevalence. The prevalence reported in this study cannot be generalized to reflect H. pylori prevalence in the Kingdom of Bahrain, since it represents only the rate of the infection in a relatively small cohort of patients who were following treatment in one of the tertiary hospitals in the country.
H. pylori infection was significantly higher among participants with lower educational levels (high school degree or below) (60.3% positivity rate) compared to subjects with higher educational levels (college/university degrees) (44.1% positivity rate). Participants with university degrees might be more knowledgeable/aware of health-related issues and have a healthier lifestyle compared to those with lesser educational levels. In agreement with this study’s finding, participants with higher educational levels were less likely to have H. pylori infection in studies conducted in Turkey, Korea, and China [14,45].
None of the lifestyle factors studied was associated with H. pylori infection. This finding could be due to the small sample size, participants’ characteristics as patients with certain health-seeking behavior, and the study design which is prone to recall bias. Furthermore, the data was collected during the COVID-19 pandemic in which the lifestyle of the majority of the population has been changed due to the quarantine and social distancing precautions [45]. Consistent with this finding, Assaad et al. (2018) in Lebanon found no association between H. pylori infection and any of the lifestyle factors studied which include smoking, alcohol consumption, physical activity, number of sleep hours per night, and perceived level of stress [10].
Findings in this study revealed that the H. pylori infection rate was lesser among participants with higher consumption of green tea and honey. H. pylori infection rate was significantly lesser among participants who consume green tea one time or more per week. Green tea and honey have been shown to exhibit antibacterial activity to inhibit the growth of H. pylori and gastric mucosal inflammation [46,47]. Honey has a potent antibacterial activity due to certain characteristics as low pH, high osmolarity and hydrogen peroxide content [47,48]. Consistent with this finding, a study conducted in Bulgaria to assess the dietary habits of 150 patients with dyspepsia revealed that honey intake at least once a week (OR: 0.38) and green/black tea consumption for at least one day or more a week (OR: 0.45) were significantly associated with lower prevalence of H. pylori infection [24]. Similarly, Mard et al. (2014) and Yordanov et al. (2017) found a significant negative correlation between the intake of honey and H. pylori infection [25,26]. This study also showed that H. pylori infection was associated with lower frequencies of coffee consumption. Coffee consumption has been linked to several health benefits as lowering the risk of some diseases such as cardiovascular diseases, type 2 diabetes, obesity, and some types of cancers [49]. Coffee is rich in polyphenols which are known to affect immune function and chronic inflammation [27]. It also contains arabinogalactan proteins which are a type of polysaccharide that exhibits prebiotic and immunomodulatory properties [49]. Loftfield et al. (2015) found an inverse association between coffee consumption and the systemic levels of some inflammatory markers [27]. Findings from the literature on the relationship between coffee consumption and H. pylori infection are inconsistent. Alebie et al. (2016) in a study that included 145 Ethiopian students with gastritis found that consumption of coffee exacerbates H. pylori related gastritis symptoms [28]. Monno et al. (2019) in a retrospective study conducted in Italy revealed that the frequent consumption of coffee increases the H. pylori infection rate [18], while other studies did not find any association between coffee consumption and H. pylori infection [10,29,30]. The relationship between coffee consumption and H. pylori infection might be attributed to the differences in the type of coffee consumed and preparation methods. Another reason for the observed finding could be an intentional reduction of coffee consumption among H. pylori infected participants due to their personal beliefs or health care workers’ instructions. It might be important in future studies to include data about the type and amount of coffee consumed, preparation methods and if the participant intentionally altered consumption for any reason.
It is essential to study details about dietary patterns, since evaluating food items in isolation might not provide a full view of nutrients’ interaction. Moreover, dietary habits were assessed during the COVID-19 pandemic, during which some dietary habits might have been altered [50]. The COVID-19 pandemic affected eating behaviors and limited access to fresh food due to quarantine precautions and lockdown which led to increased consumption of processed and fast foods that are rich in salt, sugar, and saturated fat [51].
This study showed that H. pylori infection was more prevalent among participants with vitamin D deficiency. Evidence from the recent literature indicates that vitamin D possesses immunoregulatory functions that exhibit an effect on susceptibility to infections in general and to H. pylori specifically [52]. Vitamin D might decrease the risk of infection by various mechanisms; vitamin D improves innate immunity by modulating the production of antimicrobial peptides and cytokine response [52]. Furthermore, Vitamin D helps to enhance the activity of monocytes and macrophages and contributes to systemic antimicrobial effects [53]. Consistent with this study’s findings, a multi-centric study reported that H. pylori infected participants had significantly lower serum vitamin D levels compared to the non-infected group [54]. Assaad et al. (2018) in Lebanon, reported that H. pylori infection risk was significantly higher among participants with vitamin D deficiency (OR = 29.14) compared to participants with normal vitamin D levels [10]. A recent study conducted in Turkey revealed that vitamin D deficiency was associated with increased odds of H. pylori infection by almost 3 times [55]. Yang et al. (2019) revealed that vitamin D had a protective effect against H. pylori infection and improved the success rate of H. pylori eradication [52]. The relationship between vitamin D and H. pylori infection is worth more investigation in the context of Bahrain, as many factors might be involved including diet and comorbidities. Considering vitamin D supplementation as part of prevention and treatment plans of H. pylori infection for certain groups in the population might be effective.

5. Strengths and Limitations

This study had several strengths and limitations. First, to the best of our knowledge, this is the first study in the Kingdom of Bahrain and one of few in the region to evaluate the association between sociodemographics, lifestyle, dietary habits, and some medical conditions with H. pylori infection. Second, a short version-13 item-FFQ previously validated by Yassibas [31] was used to assess dietary intake, FFQ is considered one of the best dietary tools to assess the relationship between diet and disease. Furthermore, the internal consistency and reliability of this tool were improved by adding items from the Bahraini FFQ that is in process of validation and other food items and beverages that were related to H. pylori infection in previous studies. Third, the data were collected through telephone interviews and not self-administered, so that the interviewer might clarify any misunderstandings if needed and minimize missing information. Fourth, H. pylori status was determined upon upper GI endoscopy biopsy testing and/or UBT, both of which have high diagnostic accuracy. Finally, medical data were retrieved from the patients’ medical records, minimizing any self-reporting or categorization bias. Some limitations regarding this study should be considered when interpreting the results. The data collection was conducted during the COVID-19 pandemic; within this period some lifestyle and dietary habits might be affected. In addition, due to the regulations related to that period, some non-urgent investigations/procedures were rescheduled, which affected our reach to the targeted population. Due to that reason, we included any patient who had done the H. pylori testing within the previous 18 months by either UBT or upper GI endoscopy biopsy testing. The convenience sampling method used to select the participants and this subgroup characteristics might limit the ability to generalize the results to the general population. Moreover, the use of FFQ might represent some limitations. Food intake in the previous 18 months of the interview was self-reported by participants with no measure for verification, which might lead to possible recall and information bias. In addition, intake of food and beverage items was assessed without specifying quantities or portion size. However, the variation in portion size between participants is smaller than the variation in the frequency of consumption, which will have a limited effect on the findings. Some medical data were missing or not updated for a group of participants. This could contribute to the final findings. Finally, an inference of causality cannot be generated due to the cross-sectional study design.

6. Conclusions

H. pylori infection is a major public health problem that affects more than half of the world population leading to a range of GI and extra-gastric problems. This study is the first in Bahrain and one of few in the region to investigate the relationship between diet and H. pylori infection. H. pylori infection was significantly higher among participants with lower educational levels (high school degree or below) compared to those with higher educational levels (university degree). Intake of honey, green tea, and coffee was found to be protective against H. pylori infection. In addition, vitamin D deficiency was a risk factor for H. pylori infection. Including diet, in prevention measures and in support of treatment options of H. pylori infection will provide an acceptable convenient approach to control H. pylori with reasonable cost, high availability, and lesser side effects compared to medications.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/nu14194215/s1, Table S1: Frequencies and distribution of H. pylori diagnostic methods used; Table S2: Percent distribution of frequency of consumption of food and beverage items by the study participants.

Author Contributions

Conceptualization, F.H., T.A.A. and S.P.; methodology, F.H., T.A.A. and S.P.; software, F.H.; validation, F.H.; formal analysis, F.H. and S.P.; investigation, F.H., N.A. and O.S.; Methodology, F.H., T.A.A., S.P., N.A., C.G., C.F. and M.R.; data curation, F.H.; Project administration, F.H. and T.A.A.; writing—original draft preparation, F.H.; writing—review and editing, F.H., T.A.A., A.A.S., S.P., C.G., C.F. and M.R.; visualization, F.H.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Research and Ethics Committee at King Hamad University Hospital in the Kingdom of Bahrain (protocol code 20-386, date of approval 15 December 2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data supporting reported results is not publicly archived, if required, it can be provided by the principal investigator.

Acknowledgments

We would like to thank Afnan Freije, Salwa Al-Thawadi for their administrative support, and Dalal Al Rumaihi, Abdulrahman Muhoorfi, Jawaher Alsaqer, Heba Abdallaa and Sharifa Ahmed for their contribution in facilitating and supporting data collection.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hooi, J.K.; Lai, W.Y.; Ng, W.K.; Suen, M.M.; Underwood, F.E.; Tanyingoh, D.; Malfertheiner, P.; Graham, D.Y.; Wong, V.W.; Wu, J.C.; et al. Global prevalence of Helicobacter pylori infection: Systematic review and meta-analysis. Gastroenterology 2017, 153, 420–429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Mitchell, H.; Katelaris, P. Epidemiology, clinical impacts and current clinical management of Helicobacter pylori infection. Med. J. Aust. 2016, 204, 376–380. [Google Scholar] [CrossRef] [PubMed]
  3. Diaconu, S.; Predescu, A.; Moldoveanu, A.; Pop, C.S.; Fierbințeanu-Braticevici, C. Helicobacter pylori infection: Old and new. J. Med. Life 2017, 10, 112–117. [Google Scholar] [PubMed]
  4. Amaral, O.; Fernandes, I.; Veiga, N.; Pereira, C.; Chaves, C.; Nelas, P.; Silva, D. Living conditions and Helicobacter pylori in adults. BioMed Res. Int. 2017, 2017, 9082716. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Schistosomes. Liver Flukes and Helicobacter pylori; International Agency for Research on Cancer IARC: Lyon, France, 1994; Volume 61. [Google Scholar]
  6. Moss, S.F. The clinical evidence linking Helicobacter pylori to gastric cancer. Cell. Mol. Gastroenterol. Hepatol. 2017, 3, 183–191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2021, 71, 209–249. [Google Scholar] [CrossRef]
  8. Kao, C.; Sheu, B.; Wu, J. Helicobacter pylori infection: An overview of bacterial virulence factors and pathogenesis. Biomed. J. 2016, 39, 14–23. [Google Scholar] [CrossRef] [Green Version]
  9. Capparelli, R.; Iannelli, D. Genetics of host protection against Helicobacter pylori infections. Int. J. Mol. Sci. 2021, 22, 3192. [Google Scholar] [CrossRef]
  10. Assaad, S.; Chaaban, R.; Tannous, F.; Costanian, C. Dietary habits and Helicobacter pylori infection: A cross sectional study at a Lebanese hospital. BMC Gastroenterol. 2018, 18, 48. [Google Scholar] [CrossRef] [Green Version]
  11. Krueger, W.S.; Hilborn, E.D.; Converse, R.R.; Wade, T.J. Environmental risk factors associated with Helicobacter pylori seroprevalence in the United States: A cross-sectional analysis of NHANES data. Epidemiol. Infect. 2015, 143, 2520–2531. [Google Scholar] [CrossRef]
  12. Mhaskar, R.S.; Ricardo, I.; Azliyati, A.; Laxminarayan, R.; Amol, B.; Santosh, W.; Boo, K. Assessment of risk factors of Helicobacter pylori infection and peptic ulcer disease. J. Glob. Infect. Dis. 2013, 5, 60–67. [Google Scholar] [CrossRef] [PubMed]
  13. Murray, L.J.; McCRUM, E.E.; Evans, A.E.; Bamford, K.B. Epidemiology of Helicobacter pylori infection among 4742 randomly selected subjects from Northern Ireland. Int. J. Epidemiol. 1997, 26, 880–887. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Ozaydin, N.; Turkyilmaz, S.A.; Cali, S. Prevalence and risk factors of Helicobacter pylori in Turkey: A nationally-representative, cross-sectional, screening with the 13 C-Urea breath test. BMC Public Health 2013, 13, 1215. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Ogihara, A.; Kikuchi, S.; Hasegawa, A.; Kurosawa, M.; Miki, K.; Kaneko, E.; Mizukoshi, H. Relationship between Helicobacter pylori infection and smoking and drinking habits. J. Gastroenterol. Hepatol. 2000, 15, 271–276. [Google Scholar] [CrossRef] [PubMed]
  16. Shu, L.; Zheng, P.; Zhang, X.; Feng, Y. Dietary patterns and Helicobacter pylori infection in a group of Chinese adults ages between 45 and 59 years old: An observational study. Medicine 2019, 98, e14113. [Google Scholar] [CrossRef]
  17. Eslami, O.; Shahraki, M.; Shahraki, T.; Ansari, H. Association of Helicobacter pylori infection with metabolic parameters and dietary habits among medical undergraduate students in southeastern of Iran. J. Res. Med. Sci. Off. J. Isfahan Univ. Med. Sci. 2017, 22, 12. [Google Scholar]
  18. Monno, R.; De Laurentiis, V.; Trerotoli, P.; Roselli, A.M.; Ierardi, E.; Portincasa, P. Helicobacter pylori infection: Association with dietary habits and socioeconomic conditions. Clin. Res. Hepatol. Gastroenterol. 2019, 43, 603–607. [Google Scholar] [CrossRef]
  19. Tsugane, S.; Tei, Y.; Takahashi, T.; Watanabe, S.; Sugano, K. Salty food intake and risk of Helicobacter pylori infection. J. Cancer Res. 1994, 85, 474–478. [Google Scholar]
  20. Fox, J.G.; Dangler, C.A.; Taylor, N.S.; King, A.; Koh, T.J.; Wang, T.C. High-salt diet induces gastric epithelial hyperplasia and parietal cell loss, and enhances Helicobacter pylori colonization in C57BL/6 mice. Cancer Res. 1999, 59, 4823–4828. [Google Scholar]
  21. Shinchi, K.; Ishii, H.; Imanishi, K.; Kono, S. Relationship of cigarette smoking, alcohol use, and dietary habits with Helicobacter pylori infection in Japanese men. Scand. J. Gastroenterol. 1997, 32, 651–655. [Google Scholar] [CrossRef]
  22. Hwang, H.; Dwyer, J.; Russell, R.M. Diet, Helicobacter pylori infection, food preservation and gastric cancer risk: Are there new roles for preventative factors? Nutr. Rev. 1994, 52, 75–83. [Google Scholar] [CrossRef] [PubMed]
  23. Jarosz, M.; Rychlik, E.; Siuba, M.; Respondek, W.; Ryżko-Skiba, M.; Sajór, I.; Gugała, S.; Błażejczyk, T.; Ciok, J. Dietary and socio-economic factors in relation to Helicobacter pylori re-infection. World J. Gastroenterol. WJG 2009, 15, 1119–1125. [Google Scholar] [CrossRef] [PubMed]
  24. Boyanova, L.; Ilieva, J.; Gergova, G.; Vladimirov, B.; Nikolov, R.; Mitov, I. Honey and green/black tea consumption may reduce the risk of Helicobacter pylori infection. Diagn. Microbiol. Infect. Dis. 2015, 82, 85–86. [Google Scholar] [CrossRef] [PubMed]
  25. Mard, S.A.; Khadem Haghighian, H.; Sebghatulahi, V.; Ahmadi, B. Dietary factors in relation to Helicobacter pylori infection. Gastroenterol. Res. Pract. 2014, 2014, 826910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Yordanov, D.; Boyanova, L.; Markovska, R.; Ilieva, J.; Andreev, N.; Gergova, G.; Mitov, I. Influence of dietary factors on Helicobacter pylori and CagA seroprevalence in Bulgaria. Gastroenterol. Res. Pract. 2017, 2017, 9212143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Loftfield, E.; Shiels, M.S.; Graubard, B.I.; Katki, H.A.; Chaturvedi, A.K.; Trabert, B.; Pinto, L.A.; Kemp, T.J.; Shebl, F.M.; Mayne, S.T.; et al. Associations of coffee drinking with systemic immune and inflammatory markers. Cancer Epidemiol. Prev. Biomark. 2015, 24, 1052–1060. [Google Scholar] [CrossRef] [Green Version]
  28. Alebie, G.; Kaba, D. Prevalence of Helicobacter pylori infection and associated factors among gastritis students in Jigjiga University, Jigjiga, Somali regional state of Ethiopia. J. Bacteriol. Mycol. 2016, 3, 00060. [Google Scholar] [CrossRef]
  29. Ali, A.; Riaz Ahmad, M.; Iqbal, Z.; Basit, A. Identification of the Risk Factors Associated with Helicobacter pylori Infection in Lahore. Pakistan. J. Biom. Biostat. 2017, 8, 1000348. [Google Scholar] [CrossRef]
  30. Altheeb AlKalbani, S.R.; FT, N.A.; Al-Hinai, M.; AlMuniri, A. Diet and lifestyle factors and the risk of H. pylori infection in Omani patients attending SQUH daycare for OGD. J. Fam. Med. Commun. Health 2016, 3, 1077. [Google Scholar]
  31. Devrajani, B.R.; Shah, S.Z.A.; Soomro, A.A.; Devrajani, T. Type 2 diabetes mellitus: A risk factor for Helicobacter pylori infection: A hospital based case-control study. Int. J. Diabetes Dev. Ctries. 2010, 30, 22–26. [Google Scholar] [CrossRef] [Green Version]
  32. Bener, A.; Micallef, R.; Afifi, M.; Derbala, M.; Al-Mulla, H.M.; Usmani, M.A. Association between type 2 diabetes mellitus and Helicobacter pylori infection. Turk. J. Gastroenterol. 2007, 18, 225–229. [Google Scholar] [PubMed]
  33. Gravina, A.G.; Zagari, R.M.; De Musis, C.; Romano, L.; Loguercio, C.; Romano, M. Helicobacter pylori and extragastric diseases: A review. World J. Gastroenterol. 2018, 24, 3204–3221. [Google Scholar] [CrossRef]
  34. Yassibas, E.; Arslan, P.; Yalcin, S. Evaluation of dietary and life-style habits of patients with gastric cancer: A case-control study in Turkey. Asian Pac. J. Cancer Prev. 2012, 13, 2291–2297. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. American Diabetes Association. Standards of Medical Care in Diabetes-2021 Abridged for Primary Care Providers. Clin. Diabetes A Publ. Am. Diabetes Assoc. 2021, 39, 14–43. [Google Scholar] [CrossRef]
  36. Arnett, D.K.; Blumenthal, R.S.; Albert, M.A.; Buroker, A.B.; Goldberger, Z.D.; Hahn, E.J.; Himmelfarb, C.D.; Khera, A.; Lloyd-Jones, D.; McEvoy, J.W.; et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J. Am. Coll. Cardiol. 2019, 74, 1376–1414. [Google Scholar] [CrossRef] [PubMed]
  37. Hossein-nezhad, A.; Holick, M.F. Vitamin D for health: A global perspective. Mayo Clin. Proc. 2013, 88, 720–755. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Bakris, G.; Ali, W.; Parati, G. ACC/AHA versus ESC/ESH on hypertension guidelines: JACC guideline comparison. J. Am. Coll. Cardiol. 2019, 73, 3018–3026. [Google Scholar] [CrossRef]
  39. Jensen, M.D.; Ryan, D.H.; Apovian, C.M.; Ard, J.D.; Comuzzie, A.G.; Donato, K.A.; Hu, F.B.; Hubbard, V.S.; Jakicic, J.M.; Kushner, R.F.; et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. J. Am. Coll. Cardiol. 2014, 63, 2985–3023. [Google Scholar] [CrossRef] [Green Version]
  40. Alshaikh, S.; Ahmed Al Sharakhat, M.; Toorani, Z.; Farid, E.; Abdulla, M. Prevalence and Diagnosis of Helicobacter pylori Infection in a Tertiary Hospital in the Kingdom of Bahrain. Bahrain Med. Bull. 2021, 43, 547–550. [Google Scholar] [CrossRef]
  41. Fakhro, A.R.E.; Fateha, B.E.D.; Farid, I.M.A.; Jamsheer, H.M. The association between Helicobacter pylori infection and lymphoid reaction in patients suffering from dyspepsia in Bahrain. Saudi J. Gastroenterol. 1999, 5, 129–133. [Google Scholar]
  42. Kamath, R.; Al-Qamish, J.; Yousif, A.; Fakro, A.R.; John, S. Prevalence of Helicobacter pylori among dyspeptic patients in Bahrain. Bahrain Med. Bull. 1995, 17, 50–52. [Google Scholar]
  43. Akeel, M.; Elmakki, E.; Shehata, A.; Elhafey, A.; Aboshouk, T.; Ageely, H.; Mahfouz, M.S. Prevalence and factors associated with H. pylori infection in Saudi patients with dyspepsia. Electron. Physician 2018, 10, 7279–7286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Khedmat, H.; Karbasi-Afshar, R.; Agah, S.; Taheri, S. Helicobacter pylori Infection in the general population: A Middle Eastern perspective. Casp. J. Intern. Med. 2013, 4, 745–753. [Google Scholar]
  45. Lim, S.H.; Kwon, J.; Kim, N.; Kim, G.H.; Kang, J.M.; Park, M.J.; Yim, J.Y.; Kim, H.U.; Baik, G.H.; Seo, G.S. Prevalence and risk factors of Helicobacter pylori infection in Korea: Nationwide multicenter study over 13 years. BMC Gastroenterol. 2013, 13, 104. [Google Scholar] [CrossRef] [Green Version]
  46. Stoicov, C.; Saffari, R.; Houghton, J. Green tea inhibits Helicobacter growth in vivo and in vitro. Int. J. Antimicrob. Agents 2009, 33, 473–478. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Hołubiuk, Ł.; Imiela, J. Diet and Helicobacter pylori infection. Prz. Gastroenterol. 2016, 11, 150–154. [Google Scholar] [CrossRef] [PubMed]
  48. Ndip, R.N.; Takang, A.E.; Echakachi, C.M.; Malongue, A.; Akoachere, J.; Ndip, L.M.; Luma, H.N. In-vitro antimicrobial activity of selected honeys on clinical isolates of Helicobacter pylori. Afr. Health Sci. 2007, 7, 228–231. [Google Scholar]
  49. Gökcen, B.B.; Şanlier, N. Coffee consumption and disease correlations. Crit. Rev. Food Sci. Nutr. 2019, 59, 336–348. [Google Scholar] [CrossRef]
  50. Lim, S.; Kong, A.P.; Tuomilehto, J. Influence of COVID-19 pandemic and related quarantine procedures on metabolic risk. Prim. Care Diabetes 2021, 15, 745–750. [Google Scholar] [CrossRef]
  51. Papazisis, Z.; Nikolaidis, P.T.; Trakada, G. Sleep, physical activity, and diet of adults during the second lockdown of the COVID-19 pandemic in Greece. Int. J. Environ. Res. Public Health 2021, 18, 7292. [Google Scholar] [CrossRef]
  52. Yang, L.; He, X.; Li, L.; Lu, C. Effect of vitamin D on Helicobacter pylori infection and eradication: A meta-analysis. Helicobacter 2019, 24, e12655. [Google Scholar] [CrossRef]
  53. El Shahawy, M.S.; Hemida, M.H.; El Metwaly, I.; Shady, Z.M. The effect of vitamin D deficiency on eradication rates of Helicobacter pylori infection. JGH Open 2018, 2, 270–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Han, C.; Ni, Z.; Yuan, T.; Zhang, J.; Wang, C.; Wang, X.; Ning, H.B.; Liu, J.; Sun, N.; Liu, C.F. Influence of serum vitamin D level on Helicobacter pylori eradication: A multi-center, observational, prospective and cohort study. J. Dig. Dis. 2019, 20, 421–426. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Surmeli, D.M.; Surmeli, Z.G.; Bahsi, R.; Turgut, T.; Oztorun, H.S.; Atmis, V.; Varli, M.; Aras, S. Vitamin D deficiency and risk of Helicobacter pylori infection in older adults: A cross-sectional study. Aging Clin. Exp. Res. 2019, 31, 985–991. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Sociodemographic characteristics and their association with H. pylori status among the study participants.
Table 1. Sociodemographic characteristics and their association with H. pylori status among the study participants.
Sociodemographic Characteristics H. pylori StatusChi-Square p-Value
n (%)PositiveNegative
n (%)n (%)
Age
18–30 years17 (8.5)10 (58.8)7 (41.2)0.980
31–45 years42 (21.0)23 (54.8)19 (45.2)
46–60 years83 (41.5)45 (54.2)38 (45.8)
Older than 60 years58 (29.0)33 (56.9)25 (43.1)
Gender
Male86 (43.0)48 (55.8)38 (44.2)0.938
Female114 (57.0)63 (55.3)51 (44.7)
Marital status
Married160 (80.0)88 (55)72 (45)0.776
Unmarried40 (20.0)23 (57.5)17 (42.5)
Educational level
High school or below141 (70.5)85 (60.3)56 (39.7)0.035
College/university59 (29.5)26 (44.1)33 (55.9)
Employment status
Employed49 (24.5)24 (49)25 (51)0.277
Unemployed81(40.5)43 (53.1)38 (46.9)
Retired70 (35.0)44 (62.9)26 (37.1)
Household income
BHD 300 or less17(8.5)16 (59.3)11 (40.7)0.201
BHD 301–60061 (30.5)35 (57.4)26 (42.6)
BHD 601–90059 (29.5)37 (62.7)22 (37.3)
BHD 900 or more53 (26.5)23 (43.4)30 (56.6)
Number of household members
1–479 (39.5)44 (55.7)35 (44.3)0.493
5–890 (45.0)47 (52.2)43 (47.8)
8 or greater31 (15.5)20 (64.5)11 (35.5)
Number of household rooms
1–369 (34.5)37 (53.6)32 (46.4)0.858
4–696 (48.0)54 (56.3)42 (43.8)
6 or more32 (16.0)19 (59.4)13 (40.6)
Data in bold are statistically significant.
Table
Table 2. Lifestyle factors and their association with H. pylori status among the study participants.
Table 2. Lifestyle factors and their association with H. pylori status among the study participants.
H. pylori StatusChi-Square p-Value
Lifestyle Factorsn (%)PositiveNegative
n (%)n (%)
Smoking status
Non-smoker177 (88.5)94 (53.1)83 (46.9)0.059
Smoker23 (11.5)17 (73.9)6 (26.1)
Number of cigarettes smoked/day
10 or less17 (36.9)8 (47.1)9 (52.9)0.560
11–2017 (37.0)10 (58.8)7 (41.2)
20 or more12 (26.1)8 (66.7)4 (33.3)
Level of perceived stress
Less than 3 (Low)30 (15)18 (60)12 (40)0.861
3–6 (Moderate)89 (44.5)49 (55.1)40 (44.9)
7–10 (High)81 (40.5)44 (54.3)37 (45.7)
Number of hours of sleep per night
Less than 5 h39 (19.5)25 (64.1)14 (35.9)0.186
5–7 h123 (61.5)62 (50.4)61 (49.6)
More than 7 h38 (19)24 (63.2)14 (36.8)
Number of times/week of being physically active
None75 (37.5)42 (56)33 (44)0.427
Less than 1 time per week22 (11.0)12 (54.5)10 (45.5)
1–3 times per week21 (10.5)15 (71.4)6 (28.6)
More than 3 times per week82 (41.0)42 (51.2)40 (48.8)
Duration of physical activity
Less than 20 min21 (16.8)11 (52.4)10 (47.6)0.776
20 min or more104 (83.2)58 (55.8)46 (44.2)
Table
Table 3. Mean level of frequency of consumption of food and beverage items and their association with H. pylori status.
Table 3. Mean level of frequency of consumption of food and beverage items and their association with H. pylori status.
FoodH. pylori StatusMann–Whitney p-Value
PositiveNegative
Mean ± SDMean ± SD
Grains6.3 ± 1.66.0 ± 1.90.374
Green vegetables4.7 ± 2.65.4 ± 2.30.057
Tuberous vegetables4.4 ± 2.54.9 ± 2.30.153
Fish2.2 ± 1.42.2 ± 1.20.746
Chicken3.9 ± 2.14.3 ± 2.00.166
Red meat1.6 ± 1.21.8 ± 1.10.139
Sausage0.3 ± 0.80.2 ± 0.50.740
Hot dog0.1 ± 0.50.2 ± 0.50.220
Salami or ham0.1 ± 0.50.3 ± 0.90.134
Hamburger0.8 ± 1.10.8 ± 1.20.922
Milk3.3 ± 2.93.8 ± 3.00.263
Yogurt3.4 ± 2.73.6 ± 2.60.374
Salty cheese3.6 ± 2.74.1 ± 2.70.182
Fresh fruits4.9 ± 2.55.1 ± 2.40.651
Legumes1.8 ± 1.51.7 ± 1.80.215
Eggs3.1 ± 2.33.2 ± 2.20.571
Nuts and dried fruits2.5 ± 2.33.2 ± 2.70.154
Salted fish0.3 ± 0.70.6 ± 1.10.130
Pickled vegetables1.0 ± 1.90.7 ± 1.30.508
Onion4.4 ± 2.84.4 ± 2.81.000
Garlic4.0 ± 2.94.0 ± 3.00.926
Tomato4.8 ± 2.64.7 ± 2.80.828
Butter and ghee1.4 ± 2.01.6 ± 2.20.377
Vegetable oils5.4 ± 2.45.6 ± 2.30.561
Deserts2.7 ± 2.62.7 ± 2.50.835
Tea4.6 ± 3.05.1 ± 2.70.214
Green tea0.8 ± 1.81.3 ± 2.10.012
Coffee2.7 ± 2.93.7 ± 3.00.007
Soft drinks1.4 ± 2.21.1 ± 1.80.350
Honey1.8 ± 2.32.8 ± 2.90.018
Data in bold are statistically significant.
Table
Table 4. Association between H. pylori status with green tea, coffee, and honey consumption.
Table 4. Association between H. pylori status with green tea, coffee, and honey consumption.
H. pylori StatusChi-Square p-ValueORp-Value95% CI for OR
PositiveNegative
n (%)n (%)
Green tea
<1 day weekly94 (60.3)62 (39.7)0.0110.460.029(0.23, 0.92)
≥1 day weekly17 (38.6)27 (61.4)
Coffee
<1 day weekly52 (63.4)30 (36.6)0.0600.620.107(0.34, 1.11)
≥1 day weekly59 (50)59 (50)
Honey
<1 day weekly69 (60.5)45 (39.5)0.1000.650.149(0.37, 1.17)
≥1 day weekly42 (48.8)44 (51.2)
Data in bold are statistically significant.
Table
Table 5. Dietary habits of the study participants and their association with H. pylori status.
Table 5. Dietary habits of the study participants and their association with H. pylori status.
Dietary FactorsN (%)H. pylori StatusChi-Square p-Value
PositiveNegative
n (%)n (%)
Source of drinking water during childhood
Tap water115 (57.5)62 (53.9)53 (46.1)0.117
Well water53 (26.5)35 (66)18 (34)
Filtered or mineral water32 (16.0)14 (43.8)18 (56.3)
Consumption of chili pepper
Yes102 (51.0)60 (58.8)42 (41.2)0.335
No98 (49.0)51 (52)47 (48)
Salt status of consumed dishes
Salty99 (49.5)60 (60.6)39 (39.4)0.150
Less salty/Salt free101 (50.5)51 (50.5)50 (49.5)
Speed of meals consumption
Fast61 (30.5)33 (54.1)28 (45.9)0.883
Normal78 (39.0)45 (57.7)33 (42.3)
Slow61 (30.5)33 (54.1)28 (45.9)
Temperature status of meals consumed
Cool/warm83 (41.5)45 (54.2)38 (45.8)0.758
Hot117 (58.5)66 (56.4)51 (43.6)
Frequency of consuming meals prepared outside home
<1 time per month/Never54 (27.0)30 (55.6)24 (44.4)0.897
1–3 times/month60 (30.0)34 (56.7)26 (43.3)
1–2 times per week47 (23.5)24 (51.1)23 (48.9)
3–7 times per week39 (19.5)23 (59)16 (41)
Table
Table 6. Medical condition of the study participants and its association with H. pylori status.
Table 6. Medical condition of the study participants and its association with H. pylori status.
Medical CharacteristicsN (%)H. pylori StatusChi-Square p-Value
PositiveNegative
n (%)n (%)
Diagnosis of Hypertension
Yes67 (33.5)38 (56.7)29 (43.3)0.806
No133 (66.5)73 (54.9)60 (45.1)
Diagnosis of Diabetes
Yes62 (31.0)35 (56.5)27 (43.5)0.856
No138 (69.0)76 (55.1)62 (44.9)
Diagnosis of Hyperlipidemia
Yes60 (30.0)37 (61.7)23 (38.3)0.251
No140 (70.0)74 (52.9)66 (47.1)
BMI
Normal weight (18.5–24.9)27 (15.3)13 (48.1)14 (51.9)0.530
Overweight (25.0–29.9)56 (31.6)33 (58.9)23 (41.1)
Obese (≥30.0)93 (52.5)47 (50.5)46 (49.5)
Blood pressure
Normal46 (23.2)25 (54.3)66 (45.5)0.851
Above normal152 (76.8)85 (55.9)67 (44.1)
Cholesterol
Normal (<5.6 mmol/L)67 (68.4)35 (52.2)32 (47.8)0.402
Above normal (≥5.6 mmol/L)31 (31.6)19 (61.3)12 (38.7)
TG
Normal (<1.7 mmol/L)70 (72.2)38 (54.3)32 (45.7)0.829
Above normal (≥1.7 mmol/L)27 (27.8)14 (51.9)13 (48.1)
LDL
Normal (<2.6 mmol/L)45 (46.4)22 (48.9)23 (51.1)0.386
Above normal (≥2.6 mmol/L)52 (53.6)30 (57.7)22 (42.3)
HDL
Normal (>1.5 mmol/L)26 (26.8)17 (65.4)9 (34.6)0.159
Below normal (≤1.5 mmol/L)71 (73.2)35 (49.3)36 (50.7)
FBS
Normal (<5.6 mmol/L)18 (45.0)10 (55.6)8 (44.4)0.525
Above normal (≥5.6 mmol/L)22 (55.0)10 (45.5)12 (54.5)
HbA1c
Normal (<5.7%)23 (24.2)12 (52.2)11 (47.8)0.688
Above normal (≥5.7%)72 (75.8)41 (56.9)31 (43.1)
Vitamin D
Normal (≥20 nmol/L)40 (34.2)12 (30)28 (70)0.001
Below normal (<20 nmol/L)77 (65.8)49 (63.6)28(36.4)
BMI: Body Mass Index, TG: Triglycerides, HDL: High-Density Lipoprotein, LDL: Low-Density Lipoprotein, FBS: Fasting Blood Sugar, HbA1: Glycated hemoglobin. Analysis was done in accordance with the available data. BMI = 177, Blood pressure = 198, Cholesterol = 98, Triglycerides = 97, LDL = 97, HDL = 97, FBS = 40, HbA1c = 95, and vitamin D = 117. The data in bold is statistically significant.
Table
Table 7. Binary logistic regression of educational level, smoking status, and Vitamin D level on H. pylori status.
Table 7. Binary logistic regression of educational level, smoking status, and Vitamin D level on H. pylori status.
Odd Ratiop-Value95% CI for Odd Ratio
Educational level
High school or below1.380.474(0.57, 3.35)
College/universityReference
Smoking status
Smoker3.580.129(0.69, 18.51)
Non-smokerReference
Vitamin D1.11<0.001(1.05, 1.18)
Data in bold is statistically significant.
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Habbash, F.; Alalwan, T.A.; Perna, S.; Ahmed, N.; Sharif, O.; Al Sayyad, A.; Gasparri, C.; Ferraris, C.; Rondanelli, M. Association between Dietary Habits and Helicobacter pylori Infection among Bahraini Adults. Nutrients 2022, 14, 4215. https://doi.org/10.3390/nu14194215

AMA Style

Habbash F, Alalwan TA, Perna S, Ahmed N, Sharif O, Al Sayyad A, Gasparri C, Ferraris C, Rondanelli M. Association between Dietary Habits and Helicobacter pylori Infection among Bahraini Adults. Nutrients. 2022; 14(19):4215. https://doi.org/10.3390/nu14194215

Chicago/Turabian Style

Habbash, Fatema, Tariq Abdulkarim Alalwan, Simone Perna, Naila Ahmed, Omar Sharif, Adel Al Sayyad, Clara Gasparri, Cinzia Ferraris, and Mariangela Rondanelli. 2022. "Association between Dietary Habits and Helicobacter pylori Infection among Bahraini Adults" Nutrients 14, no. 19: 4215. https://doi.org/10.3390/nu14194215

APA Style

Habbash, F., Alalwan, T. A., Perna, S., Ahmed, N., Sharif, O., Al Sayyad, A., Gasparri, C., Ferraris, C., & Rondanelli, M. (2022). Association between Dietary Habits and Helicobacter pylori Infection among Bahraini Adults. Nutrients, 14(19), 4215. https://doi.org/10.3390/nu14194215

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