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World J Gastroenterol. Dec 28, 2026; 32(48): 122494
Published online Dec 28, 2026. doi: 10.3748/wjg.122494
Prevalence, familial clustering, and influencing factors of Helicobacter pylori infection in Western Fujian Province households
Bi-Qin Lin, Shui-Fen Ye, Si-Min Zou, Long-Lu Wang, Li-Ming Tang, Chun-Mei Huang, Wei-Kun Huang, Wei-Wei Deng, Dong-Qin Lai, Xiao-Li Li, Ting Qiu, Han-Zhong Qiu, Mei-E Zeng, Department of General Practice, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian Province, China
Cun-Lan Luo, Department of General Practice, Longyan People’s Hospital, Longyan 364000, Fujian Province, China
ORCID number: Bi-Qin Lin (0009-0001-2561-4629); Mei-E Zeng (0000-0003-3545-3141).
Co-first authors: Bi-Qin Lin and Shui-Fen Ye.
Author contributions: Lin BQ, Zou SM, and Zeng ME conceived and designed the study; Lin BQ and Zou SM searched and screened the related literature; Ye SF, Wang LL, Luo CL, Huang CM, Deng WW, Lai DQ, Li XL, and Qiu T performed data collection; Zeng ME performed a quality assessment; Lin BQ and Zeng ME analyzed the data and explained the outcomes; Lin BQ, Ye SF, Zou SM, Wang LL, Tang LM, Huang CM, Luo CL, Huang WK, Deng WW, Lai DQ, Li XL, Qiu T, Qiu HZ, Zeng ME read and approved the final version of the manuscript to be published.
AI contribution statement: AI tools (specifically ChatGPT) were used solely for linguistic refinement and formatting assistance. No AI tool was involved in the generation of research data, interpretation of results, or formulation of conclusions. All AI-generated outputs were critically reviewed and revised by the authors.
Supported by Longyan City Science and Technology Plan Project China, No. 2023 LYF17040.
Institutional review board statement: This study was reviewed and approved by the Medical Ethics Committee of the Longyan First Affiliated Hospital of Fujian Medical University (No. LYREC2024-k019-01).
Informed consent statement: All participants voluntarily participated in the study and provided written informed consent.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
STROBE statement: The authors have read the STROBE Statement—a checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-a checklist of items.
Data sharing statement: No additional data are available.
Corresponding author: Mei-E Zeng, MD, Doctor, Department of General Practice, Longyan First Affiliated Hospital of Fujian Medical University, No. 105 Jiuyi Bei Road, Xinluo District, Longyan 364000, Fujian Province, China. 957900060@qq.com
Received: April 21, 2026
Revised: June 29, 2026
Accepted: July 28, 2026
Published online: December 28, 2026
Processing time: 196 Days and 23.3 Hours

Abstract
BACKGROUND

The epidemiological status of family-based Helicobacter pylori (H. pylori) infection in Western Fujian Province is unclear. H. pylori infection is a major global public health concern and is closely associated with various gastrointestinal and systemic diseases. Familial clustering has been increasingly recognized as an important transmission pattern; however, region-specific data are limited. To our knowledge, this study represents the first family-based epidemiological investigation of H. pylori infections in Western Fujian Province (Minxi). We hypothesized that H. pylori infection exhibits significant familial clustering and is associated with modifiable lifestyle factors in this region.

AIM

To investigate H. pylori prevalence, familial clustering, and infection-associated factors in Western Fujian Province to inform prevention and control strategies.

METHODS

This observational study used stratified sampling to recruit households from seven districts and counties in the Minxi region between January and December 2025. Overall, 415 households (1427 individuals) were included. Standardized questionnaires were used to collect basic demographic characteristics and dietary and hygiene-related information. All participants underwent the 13C-urea breath test to determine H. pylori infection status. Univariate and multivariate analyses were conducted to identify factors associated with H. pylori infection, and a binomial goodness-of-fit test assessed familial clustering.

RESULTS

The overall and household H. pylori infection rates were 34.0% and 56.6%, respectively. Not using communal chopsticks and spoons [odds ratio (OR) = 2.669, 95% confidence interval (CI): 1.209-5.895, P < 0.05] and infrequent dishware disinfection (OR = 6.919, 95%CI: 3.897-12.283, P < 0.05) were independently associated with H. pylori infection at the household level. Among adults, insufficient awareness of H. pylori, beer consumption, and frequent spicy-food intake were independently associated with H. pylori infection. No family history of H. pylori infection; low-salt diet; frequent garlic consumption; limited intake of strong tea, coffee, and milk tea; and, adequate sleep were associated with lower infection prevalence. In minors, frequent object biting and dental caries were independently associated with H. pylori infection. No family history of H. pylori infection, independent use of tableware, low consumption of smoked and fried foods, and low-salt diet were associated with lower infection prevalence. H. pylori infection exhibited significant familial clustering (χ2 = 134.751, P < 0.05).

CONCLUSION

H. pylori infection in Western Fujian Province exhibits high prevalence and familial clustering and is associated with multiple lifestyle factors. Given the cross-sectional design of this study, causal inferences cannot be drawn; nonetheless, these findings support the need for targeted, family-based prevention and control strategies and warrant further investigation through prospective longitudinal studies.

Key Words: Helicobacter pylori infection; Familial clustering; 13C-urea breath test; Risk factors; Minxi region

Core Tip: Current research on the familial clustering of Helicobacter pylori (H. pylori) infection, its prevalence (particularly among minors), and its influencing factors remains limited, with no reported studies in Western Fujian Province. This study identified an overall H. pylori infection rate of 34.0% in Western Fujian Province, including 34.5% among adults and 31.1% among minors. H. pylori infection was associated with household hygiene practices and individual dietary hygiene behaviors, and familial clustering of H. pylori was observed. These findings suggest that family-based prevention and control strategies may be more effective for managing H. pylori infection.



INTRODUCTION

Helicobacter pylori (H. pylori) is a gram-negative microaerophilic pathogenic bacterium characterized by an S-shaped or curved morphology that primarily colonizes the human gastric epithelium. In 1994, the World Health Organization (WHO) and the International Agency for Research on Cancer categorized H. pylori as a group 1 human carcinogen. Globally, H. pylori infection represents the third leading risk factor for cancer-related mortality, making it one of the most prevalent bacterial infections worldwide[1].

H. pylori is implicated in a broad spectrum of gastroduodenal disorders, including chronic active gastritis, atrophic gastritis, gastric polyps, colorectal polyps, peptic ulcers, mucosa-associated lymphoid tissue lymphoma, and non-cardia gastric cancer. As outlined in the Kyoto Consensus[2], H. pylori infection is the predominant etiological factor for gastric cancer, with approximately 90% of gastric cancer cases attributable to this infection. A population-based study on H. pylori-associated gastric cancer in China[3] reported that, among the 478000 newly diagnosed gastric cancer cases in China in 2020, 70% were H. pylori-positive. H. pylori infection increases the risk of non-cardia gastric cancer by over sixfold and cardia gastric cancer by more than threefold. Beyond its established correlation with the initiation and progression of gastrointestinal diseases, recent accumulating evidence indicates that H. pylori infection may also be associated with the pathogenesis of hematological and rheumatic diseases[4,5], cardiovascular diseases[6,7], respiratory diseases[8], and neurological disorders[9,10]. The underlying mechanisms may involve H. pylori infection mediated chronic inflammation, dysregulated lipid metabolism, oxidative stress, and endothelial dysfunction.

Data from recent global epidemiological studies indicate that nearly half of the world’s population is currently infected with H. pylori[11], with an average infection rate of approximately 41.5% in China[12]. A meta-analysis conducted in 2021 focusing on pediatric H. pylori infections in China reported an overall prevalence of 30.3% among children and adolescents[13]. The high prevalence of H. pylori infection has therefore emerged as a major public health challenge in China and worldwide. Although the precise transmission routes of H. pylori have not been fully elucidated, human-to-human transmission is universally recognized as the primary mode of transmission[14], and H. pylori infection exhibits a notable tendency toward familial clustering[15-19]. In response to this familial clustering feature, China issued the 2021 China Consensus Report on Family-Based H. pylori Infection Control and Management[20] and the 2022 Sixth National Consensus Report on H. pylori Infection Management[21], both of which recommend population-level and family-oriented prevention and control strategies to reduce H. pylori-associated disease burden. Early intervention aimed at preventing individual infections and interrupting intrafamilial cross-transmission is expected to yield substantial public health benefits.

To date, familial clustering, prevalence (especially among minors), and risk factors associated with H. pylori infection in other parts of China have been studied, but no relevant studies have been conducted in Western Fujian Province. Owing to the distinctive geographical and cultural characteristics of this region, investigating the prevalence, familial clustering patterns, and risk factors of H. pylori infection in Western Fujian Province is of considerable academic and practical importance. Therefore, this study was designed to assess the H. pylori infection status and lifestyle-related risk factors among family members in Western Fujian Province; to systematically elucidate the epidemiological characteristics, familial clustering patterns, and influencing factors of H. pylori infection in this region; and, to specifically analyze the prevalence of H. pylori infection among minors. The findings of this study are expected to enhance public awareness regarding familial H. pylori prevention, reduce the incidence of both individual and familial infections, and provide evidence-based guidance for the development and optimization of H. pylori eradication and control strategies.

MATERIALS AND METHODS
Study population and design

This family-based survey was conducted across seven districts and counties in Western Fujian Province from January 2025 to December 2025. Totally 1427 individuals from 415 households in the region were randomly selected using a stratified sampling approach to participate in the survey. The inclusion criteria were as follows: (1) Family members residing in Western Fujian Province, with a minimum cohabitation period of 6 months and at least two family members; (2) Family members who consented to and cooperated with the 13C breath test and questionnaire survey; and (3) Minors who provided parental consent and signed an informed consent form.

The exclusion criteria were as follows: (1) Patients with severe cardiovascular or cerebrovascular diseases (e.g., acute myocardial infarction, cerebral hemorrhage, cerebral infarction, or other conditions severely impairing the daily living ability) or acute infectious diseases; (2) Those who had used antibiotics or bismuth agents within the last 4 weeks, proton pump inhibitors, glucocorticoids, gastric mucosal protectants, or traditional Chinese medicine within 2 weeks; (3) Women who were pregnant or lactating; and (4) Individuals who were unable to cooperate with the examination or questionnaire.

All participants voluntarily participated in the study and provided written informed consent. This study was reviewed and approved by the Medical Ethics Committee of Longyan First Affiliated Hospital of Fujian Medical University, No. LYREC2024-k019-01.

Questionnaires for family members

A standardized questionnaire was administered, and the study investigators explained the purpose and requirements to participants prior to obtaining informed consent. Trained staff distributed the questionnaire and guided participants in completing it on-site, with all data collected at the household level. The survey included basic personal information of family members, such as sex, age, marital status, education level, occupation, and personal lifestyle habits, as well as common family issues.

H. pylori testing for all family members

All participants underwent H. pylori testing on the morning of the examination day, either after an over nigh fasting or after at least 2 hours of fasting and water restriction. The basic information of each participant was recorded on the blue and pink airbags, respectively. Participants maintained normal exhalation and blew air into the blue airbag until it was full, after which the bag was immediately sealed; this sample was recorded as the 0-minute exhalation. A capsule containing 13C-urea (75 mg) and 50 mL of cool water was then administered orally. After resting quietly for 30 minutes, the same procedure was repeated for the pink airbag, and the sample was recorded as the 30-minute exhalation.

After sample collection, the corresponding air collection bag was inserted into a preheated detector. The instrument automatically performed the analysis and printed the results, which were recorded by the investigator. The results of the 13C-urea breath test were expressed as the delta over baseline (DOB) value, calculated as the difference between the δ‰ of 13C-carbon dioxide measured at the 30 minutes and the δ‰ at the 0-minute point: DOB = δ‰ (30 minutes) - δ‰ (0 minute). DOB ≥ 4.0‰ indicated a positive H. pylori status, whereas a DOB < 4.0‰ indicated a negative H. pylori status.

Definitions

Households with positive H. pylori infection: At least one household member tested positive for H. pylori during the survey period[19].

Household structure types: Spousal households were defined as family units composed of both spouses[22]. Nuclear families included couples and their unmarried children. Stem families comprised two or more generations of couples without intergenerational gaps. Other types included household structures not classified into the above three categories.

Smokers: According to the WHO criteria, individuals with continuous or cumulative smoking duration ≥ 6 months are defined as smokers. Second-hand smoke exposure was defined as exposure of non-smokers to tobacco smoke from smokers for at least 15 minutes per day on more than 1 day per week. Smoking intensity was assessed using the smoking index (SI), calculated as the number of cigarettes smoked per day multiplied by the number of years of smoking. An SI ≤ 200 indicates light smoking; 200-400, moderate smoking; and ≥ 400, heavy smoking[23].

Alcohol consumers: WHO criteria define individuals who consume alcohol at least twice per week for ≥ 1 year as alcohol consumers. Alcohol intake is calculated as follows: Daily alcohol intake (g) = daily alcohol consumption (mL) × alcohol concentration (%) × 0.8 (alcohol density). Daily alcohol intake ≤ 25 g was classified as low; 26-39 g, moderate; and ≥ 40 g, high[24].

Statistical analysis

Data were compiled in Excel and analyzed using IBM SPSS Statistics for Windows version 25.0. Continuous variables were presented as mean ± SD, whereas categorical variables were expressed as percentages (%). Between-group comparisons were performed using the χ2 test. Preliminary screening for significant factors was conducted using one-way analysis, followed by multivariate logistic regression analysis to calculate the odds ratio (OR) and 95% confidence interval (CI). The family clustering of H. pylori infection was evaluated using the goodness-of-fit test for the binomial distribution. P < 0.05 was considered statistically significant.

RESULTS
General characteristics of enrolled individuals

This study included 415 eligible households, comprising 1427 individuals aged 3-91 years, with a mean age of 40.8 ± 18.8 years. Among them, 485 (34.0%) tested positive for H. pylori infection, whereas 942 (66.0%) tested negative. The cohort included 690 (48.4%) males and 737 (51.6%) females, with 1208 adults (84.7%) and 219 minors (15.3%). The overall H. pylori infection rate was 34.0%, with rates of 34.5% among adults and 31.1% among minors. The infection rate was 41.4% among smokers, 41.8% among individuals exposed to secondhand smoke, 33.3% among those who washed their hands before meals or after using the toilet, 43.0% among individuals with gastrointestinal symptoms, 45.7% among those with a family history of H. pylori infection, and 54.6% among those with halitosis. These groups exhibited a higher risk of H. pylori infection. No statistically significant differences in H. pylori infection rates were observed according to sex, age, or place of residence (Table 1).

Table 1 Relationship between general characteristics and Helicobacter pylori infection among 1427 individuals.
Influencing factor
Number of respondents
Number of infected cases
Infection rate (%)
χ2 value
P value
Sex0.0030.957
Male69023534.1
Female73725033.9
Age0.9950.319
Adult120841734.5
Minor2196831.1
Residence0.0190.889
Rural52918134.2
Urban89830433.9
Smoking8.1200.004
Yes26811141.4
No115937432.3
Secondhand smoke exposure22.2530.000
Yes51921741.8
No90826829.5
Hand washing before meals and after defecation4.9750.026
Yes135345133.3
No743445.9
Gastrointestinal symptoms28.8080.000
Yes50921943.0
No91826629.0
Family history of H. pylori infection129.3220.000
Yes85439045.7
No5739516.6
Halitosis201.5760.000
Yes61033354.6
No81715218.6
Household risk factors for H. pylori infection

Univariate analysis of demographic characteristics revealed no significant association between household H. pylori infection and administrative district or place of residence. However, significant associations were observed with household size, family structure, per capita monthly income, shared use of chopsticks and spoons, shared tableware, shared drinking cups, shared toothbrush cups, and frequency of dishware disinfection (P < 0.05; Table 2).

Table 2 Single factor analysis of demographic characteristics associated with Helicobacter pylori infection in households.
Influencing factor
Number of households surveyed
Number of H. pylori-positive households
Positive rate (%)
χ2 value
P value
Jurisdiction11.0380.087
Xinluo District1277962.2
Yongding District482450.0
Shanghang County603151.7
Changting County603050.0
Wuping County401947.5
Liancheng County403075.0
Zhangping City402255.0
Residence0.0760.783
Urban26915156.1
Rural1468457.5
Household size21.5930.001
2100140140.0
31357555.6
4107269264.5
5493265.3
6191473.7
7 55100.0
Family structure20.7400.000
Spousal family84130135.7
Nuclear family1942115259.3
Stem family113276267.3
Other family types241458.3
Per capita monthly household income (Chinese yuan)27.2040.000
≤ 150019116184.2
1501-30001761118167.0
3001-5000201296247.8
> 50001925226.3
Separate chopsticks and spoons29.4940.000
No35221962.2
Yes631625.4
Shared tableware27.5200.000
No983333.7
Yes31720263.7
Shared drinking cups5.9490.015
No34818854.0
Yes674770.1
Shared toothbrush cups18.0270.000
No36119052.6
Yes544583.3
Frequency of tableware disinfection (time/week)70.8940.000
< 12531181171.5
1-253228252.8
≥ 3109226223.9

Multivariate logistic analysis was performed using variables that were statistically significant in the univariate analysis. The results demonstrated that not using communal chopsticks and spoons (OR = 2.669, 95%CI: 1.209-5.895, P < 0.05) and infrequent dishware disinfection (OR = 6.919, 95%CI: 3.897-12.283, P < 0.05) were independent risk factors for H. pylori infection in households. By contrast, a spousal family structure (OR = 0.293, 95%CI: 0.099-0.866, P < 0.05) and the independent use of toothbrush cups (OR = 0.289, 95%CI: 0.121-0.690, P < 0.05) were identified as protective factors against H. pylori infection (Table 3).

Table 3 Results of multivariate logistic analysis of factors associated with household Helicobacter pylori infection.
Variable
β
SE
Wald
P value
OR
95%CI
Household size0.4780.4970.9220.3371.6120.608-4.274
Spousal family-1.2260.5534.9260.0260.2930.099-0.866
Per capita monthly household income1.8031.0263.0900.0796.0660.813-45.272
Shared chopsticks and spoons0.9820.4045.8970.0152.6691.209-5.895
Shared tableware (no)-0.5900.3223.3480.0670.5540.295-1.043
Shared drinking cups (no)-0.0940.3570.0690.7920.9100.452-1.833
Shared toothbrushing cups (no)-1.2400.4437.8290.0050.2890.121-0.690
Tableware disinfection < 1 time/week1.9340.29343.6280.0006.9193.897-12.283
Risk factors for H. pylori infection in adults

A total of 1208 adults were enrolled in the analysis, including 562 males (46.5%) and 646 females (53.5%). The prevalence of H. pylori infection among adults was 34.5% (417/1208). One-way analysis was conducted to evaluate the H. pylori infection status based on demographic characteristics (sex, age, and place of residence), lifestyle factors, and dietary habits. The results revealed that adult H. pylori infection was associated with family role; awareness of H. pylori; smoking status; SI; second-hand smoke exposure; type of alcoholic beverage consumed; alcohol intake; history of gastrointestinal disease; gastrointestinal symptoms; family history of H. pylori infection; consumption of spicy foods; consumption of pickled foods; salt intake; consumption of vegetables and fruits; consumption of whole grains; garlic consumption; consumption of strong tea, coffee, or milk tea; the use of communal chopsticks and spoons when dining out; sleep duration; three-meal rhythm; tooth brushing frequency; toothbrush replacement frequency; and halitosis (P < 0.05). No significant associations were found between H. pylori infection and sex, age, place of residence, marital status, occupation, educational level, hand hygiene, oral diseases, consumption of dairy and soy products, or frequency of business travel (Tables 4 and 5).

Table 4 Relationship between Helicobacter pylori infection and different demographic characteristics in adults.
Influencing factor
Number of respondents
Number of infected cases
Infection rate (%)
χ2 value
P value
Sex0.0150.904
Male56219534.7
Female64622234.4
Age4.3920.356
18-3531311436.4
36-5038713033.6
51-6539514336.2
66-75962526.0
> 7517529.4
Residence0.1680.682
Rural75425734.1
Urban45416035.2
Family role14.8050.011
Parents6081221136.3
Spouse174241223.6
Grandparents149155136.9
Children253193136.8
Grandchildren17317.6
Others7457.1
Marital status0.9290.818
Married95233034.7
Unmarried1886434.0
Divorced26726.9
Widowed421638.1
Occupation4.7050.453
Worker (staff, professional and technical personnel)52117834.2
Civil servant561933.9
Farmer2449036.9
Retired993131.3
Student782025.6
Freelancer (self-employed, unemployed)2107937.6
Educational level2.2900.318
Primary school and below1826937.9
Junior high school/senior high school/technical secondary school46216535.7
College and above56418332.4
Awareness of H. pylori69.7580.000
Unaware6611296144.8
Partially aware5172111221.5
Fully aware301033.3
Table 5 Relationship between adult Helicobacter pylori infection and individual lifestyle and diet.
Influencing factor
Number of households surveyed
Number of H. pylori-positive households
Positive rate (%)
χ2 value
P value
Smoking5.8410.016
No99732933.0
Yes2118841.7
SI6.1180.047
Mild smoking10661355133.3
Moderate smoking321340.6
Heavy smoking110249244.5
Second-hand smoke exposure18.4760.000
No74622329.9
Yes46219442.0
Alcohol type28.8400.000
Liquor134168150.7
Red wine251248.0
Rice wine462043.5
Beer69131144.9
None9342286230.6
Alcohol consumption (g/day)16.3680.000
Low dose11431381133.3
Medium dose351645.7
High dose 30220266.7
Hand washing after meals and defecation2.5470.110
No642843.8
Yes114438934.0
History of gastrointestinal diseases6.6640.010
No79929637.0
Yes40912129.6
Gastrointestinal symptoms24.9420.000
No73121229.0
Yes47720543.0
Family history of H. pylori infection99.1890.000
No4417316.6
Yes76734444.9
History of long-term medication1.5990.206
No110138635.1
Yes1073129.0
Family history of upper gastrointestinal diseases0.5410.462
No107736834.2
Yes1314937.4
Spicy food intake (time/week)136.2340.000
< 18691224125.8
1-3159266241.5
> 31803127370.6
Pickled food intake (time/week)15.6260.000
< 18721274131.4
1-32862117240.9
> 350226252.0
Salt intake (g/day)205.8860.000
< 683117721.3
≥ 637724063.7
Fruit and vegetable intake (time/week)14.0760.001
< 129118162.1
1-392140143.5
> 310872359233.0
Whole grain intake (time/week)23.8020.000
< 16931279140.3
1-3337292227.3
> 3178246225.8
Milk and dairy product intake (time/week)4.8210.090
< 16991259137.1
1-3286287230.4
> 32237131.8
Soybean and soybean product intake (time/week)2.3920.302
< 137013937.6
1-362920632.8
> 32097234.4
Soup consumption (time/week)0.3430.842
< 1562137.5
1-31264535.7
> 3102635134.2
Garlic intake (time/week)145.0040.000
< 16831329148.2
1-3209256226.8
> 3316332310.1
Strong tea/coffee/milk tea consumption (time/week)10.6740.005
< 19181295132.1
1-31696739.6
> 3121255245.5
Use of separate chopsticks and spoons when dining out21.2190.000
No84032538.7
Yes3689225.0
Frequency of dining out (time/week)4.5300.104
< 180626332.6
1-32589536.8
> 31445941.0
Sleep duration (hours/day)20.0960.000
< 411327.3
4-6215186140.0
6-86931259137.4
> 8289269223.9
Breakfast habit and eating rhythm9.9470.007
No, irregular833441.0
Yes, irregular75237249.3
Yes, regular10501346133.0
Toothbrushing frequency (time/day)31.1440.000
13251152146.8
28212251230.6
> 262214222.6
Toothbrush replacement frequency (months/time)41.9130.000
≤ 36711190128.3
4-6263189133.8
> 62742138250.4
Business trip frequency (day/month)2.2800.320
< 1117740934.7
1-522731.8
> 59111.1
Oral diseases (dental caries, dentures, periodontitis)2.4150.120
No76325132.9
Yes44516637.3
Halitosis198.4420.000
No6781122118.0
Yes, noticed by others94238240.4
Yes, noticed by oneself4363257358.9

Multivariate logistic analysis showed that family role was associated with a lower risk of H. pylori infection in grandchildren, with adults being the most at-risk (OR = 0.113, P < 0.05). Individuals without halitosis (OR = 0.251, P < 0.05) had a lower risk of H. pylori infection than those with halitosis. Poor awareness of H. pylori (OR = 2.191, P < 0.05), beer consumption (OR = 2.537, P < 0.05), and frequent consumption of spicy foods (OR = 2.346, P < 0.05) were identified as independent risk factors for H. pylori infection. Protective factors included no history of H. pylori infection (OR = 0.296, P < 0.05); adherence to a low-salt diet (OR = 0.326, P < 0.05); frequent garlic consumption (OR = 0.352, P < 0.05); reduced intake of strong tea, coffee, and milk tea (OR = 0.506, P < 0.05); and, adequate sleep (OR = 0.525, P = 0.003; Table 6).

Table 6 Results of multivariate logistic analysis on factors influencing Helicobacter pylori infection in adults.
Influencing factor
β
SE
Wald
P value
OR
95%CI
Family role-grandchildren-2.1840.8257.0040.0080.1130.022-0.568
Awareness of H. pylori-unaware0.7840.19116.8770.0002.1911.507-3.186
Smoking0.3750.3880.9330.3341.4550.680-3.111
SI-0.2460.4450.3070.5790.7820.327-1.868
Secondhand smoke exposure0.0000.1940.0001.0001.0000.684-1.463
Alcohol type-beer0.9310.3596.7370.0092.5371.256-5.125
Alcohol consumption-0.5870.5851.0070.3160.5560.176-1.751
History of gastrointestinal diseases0.9360.19922.0510.0002.5491.725-3.766
Gastrointestinal symptoms-0.1660.1790.8670.3520.8470.597-1.202
Family history of H. pylori infection-no-1.2160.19339.7610.0000.2960.203-0.433
Spicy food intake > 3 times/week0.8530.3197.1440.0082.3461.255-4.383
Pickled food intake0.2820.2061.8640.1721.3250.885-1.986
Salt intake < 6 g/day-1.1210.19134.5760.0000.3260.224-0.474
Fruit and vegetable intake0.4040.5570.5250.4691.4980.503-4.463
Whole grain intake0.2660.1981.7990.1801.3040.885-1.923
Garlic intake > 3 times/week-1.0430.29612.4230.0000.3520.197-0.629
Strong tea/coffee/milk tea consumption < 1 time/week-0.6820.2467.6880.0060.5060.312-0.819
Separate chopsticks and spoons when dining out-0.1020.1920.2810.5960.9030.619-1.317
Sleep duration > 8 hours/day-0.6450.2208.6330.0030.5250.341-0.807
Regular three meals a day0.4230.3151.8080.1791.5260.824-2.828
Toothbrushing frequency0.5860.4181.9600.1621.7960.791-4.078
Toothbrush replacement frequency0.3920.2382.7160.0991.4800.928-2.360
Halitosis-no-1.3810.18854.1910.0000.2510.174-0.363
Risk factors for H. pylori infection in minors

A total of 219 participants aged < 18 years were included (128 males and 91 females). The H. pylori infection rate in this group was 31.1% (68/219). H. pylori infection in minors was significantly associated with a family history of H. pylori infection, shared utensils, consumption of smoked or fried foods, salt intake, dental caries, halitosis, and object-biting behavior (P < 0.05). No statistically significant associations were observed with sex, age, place of residence, family role, personal hygiene habits, dietary patterns, learning methods, and sleep duration (Table 7).

Table 7 Single factor analysis of Helicobacter pylori infection factors in adolescents.
Influencing factor
Number of households surveyed
Number of H. pylori-positive households
Positive rate (%)
χ2 value
P value
Sex0.0060.940
Male1284031.3
Female912830.8
Age1.1260.569
3-637924.3
7-121123531.3
13-17702434.3
Residence0.4960.481
Rural752128.0
Urban1444732.6
Family role0.0280.867
Children1274031.5
Grandchildren922830.4
Family history of H. pylori infection32.1100.000
No1322216.7
Yes874652.9
Hand washing before and after meals2.8070.094
No10660.0
Yes2096229.7
Hand washing after defecation1.2130.271
No7457.1
Yes2126430.2
Shared tableware (including straws)6.5190.011
No821720.7
Yes1375137.2
Toothbrushing frequency (time/day)0.4500.502
≤ 1832833.7
> 11364029.4
Toothbrush replacement frequency (months/time)1.2610.532
≤ 31614930.4
4-6391128.2
> 619842.1
Eating rhythm1.0170.313
No281139.3
Yes1915729.8
Smoking or secondhand smoke exposure3.1130.078
No1624527.8
Yes572340.4
Gastrointestinal symptoms2.8230.093
No1875428.9
Yes321443.8
Beverage consumption2.6700.102
No471021.3
Yes1725833.7
Beverage type1.8700.393
None/electrolyte drink/soda water541324.1
Milk tea/fruit tea/coffee491530.6
Carbonated beverage1164034.5
Smoked and fried food intake (time/week)4.1250.042
< 12025929.2
≥ 117952.9
Pickled food intake (time/week)0.0210.885
< 32076531.4
≥ 312325.0
Salt intake (g/day)29.6640.000
< 61834323.5
≥ 6362569.4
Fruit and vegetable intake (time/week)3.5430.060
< 314857.1
≥ 32056029.3
Whole grain intake (time/week)1.5240.217
< 31815329.3
≥ 3381539.5
Milk and dairy product intake (time/week)0.0850.771
< 3301033.3
≥ 31895830.7
Soybean and soybean product intake (time/week)2.6060.106
< 31515234.4
≥ 3681623.5
Soup consumption (time/week)2.0900.148
< 3281242.9
≥ 31915629.3
Garlic intake (time/week)1.2160.270
< 32056632.2
≥ 314214.3
Snack consumption (time/week)1.6160.446
< 113430.8
1-3942526.6
> 31123934.8
Sleep duration (hours/day)0.3610.548
≤ 8641828.1
> 81555032.3
Staying up late0.3570.550
No1795430.2
Yes401435.0
Dental caries28.9600.000
No1352417.8
Yes844452.4
Halitosis17.3620.000
No139130121.6
Yes, noticed by others41217241.5
Yes, noticed by oneself39221253.8
Learning mode0.1230.726
Day school1946131.4
Boarding25728.0
Object biting17.0320.000
No183152128.4
Occasionally2617126.9
Frequently1029290.0
Independent sleep0.4230.525
No812328.4
Yes1384532.6
Playing in public places (times/week)1.1690.280
< 3853035.3
≥ 31343828.4
Mouth-to-mouth kissing2.1450.143
No2136430.0
Yes6466.7

Multivariate logistic analysis revealed that frequent object biting (OR = 39.300, P < 0.05) and dental caries (OR = 3.506, P < 0.05) were independent risk factors for H. pylori infection in adolescents. Conversely, the absence of a family history of H. pylori infection (OR = 0.141, P < 0.05), independent use of tableware (OR = 0.335, P < 0.05), low consumption of smoked or fried foods (OR = 0.181, P < 0.05), and adherence to a low-salt diet (OR = 0.231, P < 0.05) were protective factors against H. pylori infection (Table 8).

Table 8 Multivariate analysis of Helicobacter pylori infection in adolescents.
Variable
β
SE
Wald
P value
OR
95%CI
Family history of H. pylori infection-no-1.9670.40623.4470.0000.1400.063-0.310
Shared tableware-no-1.0940.4515.8870.0150.3350.138-0.810
Smoked and fried food intake < 1 time/week-1.7110.6387.1820.0070.1810.052-0.632
Salt intake < 6 g/day-1.4660.5217.9160.0050.2310.083-0.641
Halitosis0.9950.6012.7360.0982.7040.832-8.788
Dental caries-yes1.2540.4677.2210.0073.5061.404-8.754
Object biting-frequently3.6711.15910.0330.00239.3004.054-381.012
Familial clustering of H. pylori infection

Among the 415 households included in this study, 235 tested positive for H. pylori, yielding a household H. pylori infection rate of 56.6%. The goodness-of-fit test for the binomial distribution revealed that the distribution of H. pylori infection within households did not conform to a binomial distribution (χ2 = 134.751, P < 0.05). The observed frequency of H. pylori infection differed significantly from the expected theoretical frequency, suggesting a clear pattern of familial clustering of H. pylori infections in households (Tables 9 and 10).

Table 9 Distribution of the frequency of household Helicobacter pylori infection.
Number of infected persons in householdHousehold size
2
3
4
5
6
7
Total households
Total number of infected persons
060603817501800
12523218207979
2153320124286172
30192064049147
40085231872
5000120315
Total number of households10013510749195415485
Total population200405428245114351427
Table 10 Fit goodness test for the binomial distribution of family clusters in Helicobacter pylori-infected households.
Number of cases per household
Observed frequency (A)
Theoretical frequency (T)
Residual (A-T)
0180110.769.3
179168.4-89.4
28698.9-12.9
34930.418.6
≥ 4216.714.3
H. pylori infection among family members

A total of 471 couples were included, of whom 86 were both H. pylori-positive, 154 had only one H. pylori-positive partner, and 231 were both negative. The concordance rate for H. pylori infection among couples was 67.3%. McNemar’s test indicated consistency in H. pylori infection status between couples (P > 0.05; Table 11).

Table 11 Helicobacter pylori infection status in spouses.
Wife’s H. pylori statusHusband’s H. pylori status
Total
Positive
Negative
Positive8677163
Negative77231308
Total163308471

Among 414 children with intact families, participants were divided into three groups based on parental infection status: Group 1 (both parents positive), group 2 (one parent positive), and group 3 (both parents negative). The H. pylori infection rates in these groups were 61.3%, 47.6%, and 12.3%, respectively. Infection rates among children with both parents positive and one parent positive were significantly higher than those with both parents negative (χ2 = 78.382, P < 0.05; Table 12).

Table 12 Relationship between parental infection status and pediatric Helicobacter pylori infection.
Group
Children’s H. pylori status
Total (number of children)Children’s H. pylori infection rate (%)
Positive
Negative
Group 1 (both parents positive)49318061.3
Group 2 (one parent positive)707714747.6
Father positive34437744.2
Mother positive36347051.4
Group 3 (both parents negative)2316418712.3
Total14227241434.3

Similarly, 75 grandchildren with intact families were divided into three groups based on their grandparents’ infection status: Group 1 (both grandparents positive), group 2 (one grandparent positive), and group 3 (both grandparents negative). The H. pylori infection rates among these groups were 57.1%, 43.8%, and 6.9%, respectively. Infection rates among grandchildren with both grandparents positive and one grandparent positive were significantly higher than those with both grandparents negative (χ2 = 14.496, P < 0.05; Table 13).

Table 13 Relationship between grandparent infection status and Helicobacter pylori infection in grandchildren.
Group
Grandchildren’s H. pylori status
Total (number of grandchildren)
Grandchildren’s H. pylori infection rate (%)
Positive
Negative
Group1 (both grandparents positive)8614 57.1
Group 2 (one grandparent positive)141832 43.8
Grandfather positive5 71241.7
Grandmother positive9112045.0
Group 3 (both grandparents negative)227296.9
Total24517532.0
DISCUSSION

H. pylori infection is a chronic condition. Infected individuals develop specific T cells that produce cytokines capable of counteracting the pathogenic effects of H. pylori. H. pylori-induced specific immune responses are predominantly T helper cell (Th) 1-type and can effectively suppress or eradicate infection in early stages[25]. However, failure to eliminate the infection leads to the development of a robust humoral immune response. The failure to clear the infection can be attributed to both bacterial factors (e.g., bacterial antigenic variation, biofilm formation, and colonization) and host immune factors (e.g., immune deviation and tolerance). During the transition from Th1-type to Th2-type immune responses, Th2 responses not only suppress excessively destructive Th1-mediated inflammation facilitating host-H. pylori “coexistence” and preventing fatal outcomes of acute infection but also actively attenuate effective cellular immunity. This process promotes ineffective antibody responses and tissue fibrosis, leading to chronic persistent H. pylori infection and pathological damage. Consequently, these mechanisms contribute to the development of various diseases, including gastric ulcers, duodenal ulcers, and gastric cancer.

Global epidemiological survey data indicate that nearly half of the world’s population is infected with H. pylori. In China, the average H. pylori infection rate is 41.5%, indicating that approximately four in ten individuals are infected. Notably, H. pylori infection exhibits significant familial clustering, with multiple infections among family members being relatively common. The high prevalence of H. pylori infection, both globally and in China, imposes a substantial public health burden. Therefore, understanding the current infection patterns, influencing factors, and familial clustering is essential for improving prevention and control strategies and achieving meaningful social and economic benefits.

Over the past three decades, numerous epidemiological studies on H. pylori infection have been conducted both domestically and internationally. Significant regional disparities were observed, with infection rates ranging from 70.1% in Africa, 69.4% in South America, and 66.6% in West Asia to 24.4% in Oceania. Substantial variations are also observed at the national level, with rates ranging from 18.9% in Switzerland to 87.7% in Nigeria[26]. Stratified analyses of ethnic populations in Malaysia revealed higher H. pylori infection rates among Chinese and Indian populations (40%-50%) compared with those among Malaysians (10%-20%)[27], indicating potential ethnic differences in susceptibility. Regional variations in H. pylori infection rates are also evident in China. Multiple meta-analyses have reported the highest infection rate in the northwestern region (51.8%) and the lowest in the southern region (40%), with specific rates of 45.0% in Lanzhou, 32.5% in Nanjing, and 28.4% in Beijing. Among children, H. pylori infection rates are higher in the northwestern region and lower in the southern region, with economically developed areas generally exhibiting a lower prevalence than underdeveloped regions[13,28-30]. Furthermore, a correlation exists between geographical regions and H. pylori infection rates, with southern provinces generally having lower infection rates than northern and central-western provinces, and coastal regions exhibiting lower rates than the northwestern plateau region. These differences may reflect variations in regional economic development, access to healthcare resources, and antibiotic usage patterns. With improvements in socioeconomic conditions and increased public awareness, the global prevalence of H. pylori infection has declined over time. A 2022 meta-analysis revealed a decrease in the global H. pylori infection rate from 58.2% during 1980-1990 to 43.1% during 2011-2022[11]. Similarly, in China, the infection rate declined from 58.3% during 1983-1994 to 40.0% during 2015-2019[28]. Despite this downward trend, the prevalence of H. pylori infection remains relatively high and continues to impose a significant public health burden. This study showed that the H. pylori infection rate in the local population was 34.0%, with rates of 34.5% among adults and 31.1% among minors. However, these rates are lower than the national average.

Reports on the association between H. pylori infection and sex, age, place of residence, and marital status have yielded inconsistent findings across domestic and international studies. Some studies[31,32] indicate higher infection rates among females than males and among married individuals than unmarried individuals. However, most studies have suggested no association between H. pylori infection and sex, place of residence, or marital status[33-35]. Consistent with these findings, our findings demonstrated no significant differences in H. pylori infection rates based on sex, age, place of residence, or marital status in this region. Instead, family role and awareness of H. pylori were identified as factors that influenced H. pylori infection risk. Among family roles, the infection rate among grandchildren was significantly lower than that observed in other groups. This could be because grandchildren typically have fewer social interactions, resulting in reduced exposure to potential sources of infection. Additionally, grandchildren are younger and possess a more robust gastric mucosal barrier, which is less conducive to H. pylori colonization. Furthermore, prolonged exposure, cumulative effects of infection, and weakened immune resistance increase the likelihood of H. pylori infection, contributing to lower infection rates among younger individuals[36-38]. Conversely, increased awareness of H. pylori also facilitates early prevention and treatment, thereby reducing infection rates.

Most domestic and international studies[39-41] have reported that educational level is negatively associated with H. pylori infection, with decreasing infection rates as educational attainment increases. However, we found no such correlation in the present study. Kheyre et al[42] demonstrated that H. pylori infection rates may vary significantly among occupational groups due to differences in work environments and hygiene conditions. Domestic studies have also reported variations in H. pylori infection rates across different occupational groups, with higher rates observed among healthcare workers than among government job holders, education sector employees, and staff in enterprises and institutions; additionally, employed individuals had higher rates than unemployed individuals and freelancers[43,44]. However, the present study did not demonstrate a correlation between educational attainment or occupation and H. pylori infection rates. This discrepancy may reflect societal progress, the advancement of informatization, improvement in health literacy, enhanced awareness of personal protection, and the implementation of more comprehensive preventive measures.

This study further suggests that reduced consumption of strong tea, coffee, and milk tea; decreased intake of smoked and fried foods; adherence to a low-salt diet; and increased garlic consumption are protective factors against H. pylori infection, whereas beer consumption and frequent intake of spicy foods are independent risk factors. Diets high in salt, as well as frequent consumption of strong tea, coffee, milk tea, and smoked or fried foods, may compromise the gastric mucosal barrier. High salt concentrations may increase the secretion of vacuolating cytotoxin by H. pylori, thereby enhancing bacterial invasion and colonization[45,46]. Capsaicin, the active component of chili peppers, can induce inflammation in the gastrointestinal tract, disrupt the gastric environment, and damage the gastric mucosal barrier. It may also alter gastrin secretion, resulting in reduced gastric acid levels, thereby creating a low acidic environment that promotes H. pylori colonization[47]. An association was observed between the consumption of milk tea and coffee and H. pylori infection. The intake of high-sugar foods may contribute to H. pylori infection susceptibility through effects on blood glucose levels. Hyperglycemia can lead to the development of intestinal neuropathy, increased production of pro-inflammatory cytokines, and subsequent neurodegeneration, ultimately reducing local intestinal blood flow and impairing host defenses. Additionally, hyperglycemic states can weaken both cellular and humoral immunity, promote dysbiosis, and reduce resistance to H. pylori infection[48,49]. Previous studies have shown that ethanol, the main component of alcoholic beverages, can disrupt the lipoprotein layer that protects the gastric mucosa, thereby weakening the mucosal defense against H. pylori infection. Furthermore, ethanol promotes gastric acid secretion, directly damaging the gastric mucosal barrier and increasing susceptibility to H. pylori infection[50,51]. However, evidence regarding the impact of different types of alcoholic beverages on H. pylori infection is limited. Although the present study found a higher rate of H. pylori infection among beer consumers, further studies with larger sample sizes are warranted to validate this finding.

Allicin, an active compound in garlic, can inhibit H. pylori response, thereby suppressing H. pylori infection[52]. The mountainous and hilly terrain of Western Fujian Province, combined with historically poor transportation infrastructure and a subtropical monsoon climate characterized by high humidity, has contributed to the development of traditional food preservation practices. These include pickled foods such as dried radishes, dried pork gallbladder, and pickled vegetables, which remain commonly consumed in this region. These dietary habits may represent a significant factor influencing H. pylori infection in this population. The present study found that the H. pylori-positivity rate among individuals with halitosis was significantly higher than that among those without halitosis, indicating an increased risk of H. pylori infection in patients with halitosis. When H. pylori infection is present in the body, gastrointestinal digestion and absorption, as well as gastric motility, may be impaired, leading to prolonged retention of food residues in the gastrointestinal tract. These residues are subsequently decomposed by gastrointestinal bacteria, producing hydrogen sulfide (H2S) and methyl mercaptan. In addition, H. pylori infection can induce the upregulation of related genes, such as cystathionine γ-lyase and cystathionine β-synthetase, as well as genes encoding inflammatory mediators, thereby increasing endogenous H2S production and contributing to halitosis[53,54].

Additionally, previous studies have identified adequate sleep duration as a protective factor against H. pylori infection. Insufficient sleep can lead to autonomic nervous system dysfunction, resulting in decreased immune function. The combined effects of these factors contribute to gastrointestinal dysfunction, including increased gastric acid secretion, weakened gastrointestinal motility, and reduced self-repairing capacity[55,56]. The findings of this study also indirectly supports the aforementioned viewpoint perspective. The prevalence of H. pylori infection remains high among adults, and children are also at high risk. Zabala Torrres et al[57] reported that approximately one-third of children worldwide are infected with H. pylori. The present study found that the H. pylori infection rate among minors in the Minxi region was 31.1%, with rates of 24.3%, 31.3%, and 34.3% in the preschool (age: 3-6 years), elementary school (7-12 years), and junior/senior high school (13-17 years) groups, respectively, indicating that the infection rate increased with age. The findings of a cross-sectional study conducted by Huang et al[58] are consistent with ours. The current infection prevalence among minors is concerning. Our team will subsequently expand the sample size of this population and conduct further in-depth research. After adjusting for confounding factors, frequent object biting and dental caries were identified as independent risk factors for H. pylori infection among adolescents, whereas no family history of H. pylori infection, independent use of tableware, reduced consumption of smoked and fried foods, and adherence to a low-salt diet were identified as protective factors. Frequent object biting and dental caries increased the risk of H. pylori infection by 39.3-fold and 3.51-fold, respectively. H. pylori can colonize saliva, periodontal pockets, and dental plaque. Oral H. pylori infection may disrupt the acid-base balance and immunoglobulin activity in the oral cavity and increase the plaque index, thereby impairing oral immunity and promoting the development of dental caries. Oral H. pylori strains share high homology with gastric H. pylori[59-61], and maintaining oral hygiene may reduce the risk of H. pylori infection.

Currently, there is no consensus on the relationship between active or passive smoking and H. pylori infection. Some studies have suggested no association between smoking and H. pylori infection[62,63], whereas others have found a positive correlation[64-66]. Certain studies[67] suggest that nicotine in tobacco stimulates the production of gastric acid, pepsin, and free radicals during smoking, leading to gastroduodenal reflux and enhancing aggressive gastric factors while simultaneously weakening mucosal defenses (including prostaglandin synthesis, mucus production, and epidermal growth factor secretion). These changes facilitate the colonization and growth of H. pylori. However, our study did not find a correlation between smoking or secondhand smoke exposure and H. pylori infection, which is consistent with the findings of Morris et al[64].

Statistical distribution models of disease clustering within families have long been of interest in epidemiology and genetics. Understanding the theoretical distribution of disease occurrence within families provides valuable insights for etiological investigations and the selection of statistical methods. In medicine, the binomial distribution is used to describe the patterns of discrete random events with two mutually exclusive outcomes. Because H. pylori infection has only two outcomes, positive or negative, it can be analyzed using a binomial distribution to investigate familial clustering. Currently, it is widely accepted that diseases without familial clustering follow a binomial distribution[16]. A 2021 large-scale epidemiological study in China surveyed the H. pylori infection status of 10735 families across 29 provinces and revealed a household H. pylori infection rate ranging from 50.27%-85.06%, with an average of 71.21%[18]. In the present study, 235 families were H. pylori-positive and 180 were H. pylori-negative, resulting in a household infection rate of 56.6%. The concordance rate of H. pylori infection among spouses was 67.3%. The H. pylori infection rate among children with both parents positive for H. pylori was 61.3%, which was significantly higher than that among children with both parents negative (12.3%). Furthermore, the H. pylori infection rate among grandchildren with both grandparents positive was 57.1%, which was significantly higher than that among grandchildren with both grandparents negative (6.9%). Additionally, we found that the distribution of H. pylori-infected households did not follow a binomial distribution, suggesting that H. pylori infection exhibited familial clustering. This suggests that the presence of an infected individual in a family increases the risk of H. pylori infection among other family members. This conclusion aligns with the findings of Li et al[14] and Jiang et al[68]. Furthermore, treating all members in a H. pylori-positive household enhances H. pylori eradication rates and reduces recurrence compared with individual-based eradication approaches[69-71]. These findings further validate the concept of familial clustering of H. pylori infection. Our findings provide a theoretical basis for implementing household-based H. pylori prevention and control strategies.

Extensive research has demonstrated that household H. pylori infection is associated with factors such as family economic status, household hygiene practices, family members’ history of H. pylori infection, and family size[22,40,72-75]. The present study identified the communal use of chopsticks and spoons, infrequent utensil disinfection, and family history of H. pylori infection as independent risk factors for household infection, whereas the use of individual toothbrush cups served as a protective factor. These findings align with those of Li et al[76], who reported that independent use of chopsticks significantly reduces bacterial colony counts on food items and lowers cross-infection rates caused by communal dining. The prevailing consensus is that H. pylori transmission primarily occurs through person-to-person contact[77]. H. pylori thrives optimally in a moist, microaerobic environment at 37 °C, exhibiting prolonged survival outside the body. However, it is sensitive to environmental changes and becomes rapidly inactivated at high temperatures[78]. Therefore, frequent utensil disinfection can effectively eliminate bacteria adhering to tableware, reduce exposure to H. pylori, and lower infection risk. Close contact among parents and children within households, as well as use of utensils and toothbrush cups, may facilitate H. pylori retention on daily-use items, promoting oral-oral transmission and increasing H. pylori infection risk[79,80]. Conversely, the simpler the family structure, the lower the exposure to H. pylori, thereby reducing infection risk. Family members infected with H. pylori represent an independent risk factor for household H. pylori infection. H. pylori infection exhibits familial clustering, and close daily contact within households can increase the likelihood of transmission. In the Minxi region, where the Hakka population is predominant, the traditional Tulou residential system, multigenerational living arrangements, and warm hospitality practices further increase the risk of H. pylori infection among local residents.

This study has some limitations. First, although the H. pylori infection status was determined in all participants, this study did not include endoscopic evaluation of gastric mucosal pathology. Key histopathological indicators along the Correa cascade, including chronic atrophic gastritis, intestinal metaplasia, and dysplasia, were not assessed. These lesions are well-established precursors to gastric adenocarcinoma and serve as essential components in gastric cancer risk stratification. The absence of these data limits the clinical interpretation of the observed infection burden in this cohort, as H. pylori-positive individuals cannot be further stratified according to their actual risk of premalignant disease. Consequently, the clinical urgency and intensity of eradication therapy cannot be calibrated based on mucosal pathology status. Future follow-up of this cohort, incorporating standardized upper endoscopy with systematic biopsy (in accordance with the updated Sydney system), would markedly enhance the clinical relevance of these findings and enable the longitudinal assessment of Correa cascade progression in a family-based setting. Second, not all H. pylori strains possess equivalent carcinogenic potential. Strains harboring the cytotoxin-associated gene A (cagA) and those with the vacuolating cytotoxin A (vacA) s1m1 genotype are consistently associated with significantly higher risks of gastric ulcer, atrophic gastritis, and gastric adenocarcinoma compared with cagA-negative or vacA s2m2 strains. Given that household members frequently share homologous H. pylori strains through close interpersonal contact, the observed familial clustering of infection may simultaneously reflect the intrafamilial concentration of high-virulence, high-risk genotypes. In this scenario, family-based transmission would imply not only a quantitative clustering of infection but also a potential qualitative clustering of more pathogenic strains, which could amplify the population-attributable gastric cancer risk within certain households. Virulence genotyping was beyond the scope of the present investigation; however, future family-based studies incorporating strain-level characterization particularly of cagA, vacA, and other established virulence markers would provide a more refined understanding of transmission dynamics and facilitate the development of risk-stratified, family-centered eradication strategies.

Although this cross-sectional investigation explored several factors that influence H. pylori infection, the causal relationship is weakly substantiated and requires confirmation through prospective studies. Additionally, most survey data were collected via questionnaires, which inevitably introduced recall bias during data collection, thereby increasing the uncertainty of the associations.

CONCLUSION

The findings of this study suggest that enhancing public awareness and knowledge of H. pylori infection is essential for effective prevention and control. Individuals with halitosis, dental caries, or a family history of H. pylori infection should undergo early screening. Additionally, reducing the intake of spicy foods, high-salt foods, strong tea, milk tea, coffee, and smoked or fried foods while increasing garlic consumption, implementing family meal segregation, using separate toothbrush cups, and frequently disinfecting tableware can help reduce the risk of H. pylori infection. By encouraging individuals to actively improve their dietary and hygiene habits, early detection and treatment can be achieved, thereby reducing the incidence of gastrointestinal diseases and delaying disease progression, ultimately leading to a life free from H. pylori infection.

ACKNOWLEDGEMENTS

We would like to thank the participants for generously dedicating their time to answering the questionnaire and providing test samples.

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Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Gastroenterology and hepatology

Country of origin: China

Peer-review report’s classification

Scientific quality: Grade A, Grade B, Grade B

Novelty: Grade B, Grade B, Grade B

Creativity or innovation: Grade B, Grade B, Grade B

Scientific significance: Grade A, Grade A, Grade B

P-Reviewer: Ullah W, Associate Professor, Pakistan; Zhang YG, MD, PhD, China S-Editor: Fan M L-Editor: A P-Editor: Wang CH

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