# The Association betweenHelicobacter pylori Seropositivity and Bone Mineral Density in Adults

Authors: Jinke Huang; Zhihong Liu; Jinxin Ma; Jiali Liu; Mi Lv; Fengyun Wang; Xudong Tang
Journal: Mediators of Inflammation
 (2022)

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## Abstract

Objectives. Current evidence on the associations between Helicobacter pylori (H. pylori) infection and bone mineral density (BMD) is conflicting. Therefore, a nationally representative sample of adults was analyzed to investigate the associations of H. pylori seropositivity and BMD in this study. Methods. A retrospective cross-sectional study was conducted with 2555 subjects aged 40-85 years in the US National Health and Nutrition Examination Survey (NHANES) 1999–2001. Multivariable logistic regression models were performed to evaluate the associations between H. pylori seropositivity and BMD. Subgroup analyses stratified by sex, age, race, and body mass index (BMI) were performed. Results. No association was found between H. pylori seropositivity and BMD (β=0.006, 95% CI: -0.003 to 0.015, P=0.177). In the subgroup analyses stratified by age, a positive association was observed between the H. pylori seropositivity and total BMD among subjects aged 40-55 years (β=0.018, 95% CI: 0.004 to 0.033, P=0.012); in the subgroup analyses stratified by sex, a positive association was observed between the H. pylori seropositive and total BMD in male (β=0.019, 95% CI: 0.007 to 0.032, P=0.003); in the subgroup analyses stratified by age and sex, the total BMD was higher in men aged 40-55 years with H. pylori seropositive than those with H. pylori seronegative (β=0.034, 95% CI: 0.013 to 0.056, P=0.002). Conclusions. In conclusion, no association between H. pylori seropositive and total BMD was demonstrated among most middle-aged and elderly adults. H. pylori infection may not be one key factor in the loss of BMD.


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## Body

## 1. Introduction

Helicobacter pylori (H. pylori) is the most common chronic bacterial colonizing the human stomach. H. pylori infection is prevalent [1], with a prevalence of approximately 35.6% in the United States [2]. H. pylori infection has been well known to be associated with a variety of gastric diseases, including chronic gastritis, peptic ulcers, gastric cancer, and mucosa-associated lymphoid tissue lymphoma [3]. Furthermore, several extra gastric disorders have also been proven to be associated with H. pylori infection, such as metabolic, neurological, and cardiovascular diseases [4].Osteoporosis is a silent health problem characterized by deterioration of bone structure due to low bone mineral density (BMD) and disruption of bone homeostasis [5]. As one of the most common metabolic bone diseases worldwide, osteoporosis mostly affects middle-aged and elderly populations [6]. Patients with osteoporosis are susceptible to bone fragility and osteoporotic fractures, and the occurrence of these fractures affects morbidity, mortality, and quality of life, making osteoporosis a growing health and health-economic problem worldwide [7, 8]. Therefore, understanding the risk factors is essential for the prevention, early diagnosis, and management of osteoporosis.It is reported thatH. pylori infection can induce inflammatory and immune reactions in individuals, which may modulate bone turnover [9]. However, evidence for the association between H. pylori infection and BMD is limited and controversial [10, 11]. Therefore, to investigate the association between H. pylori seropositivity and BMD, a population-based sample from the National Health and Nutrition Examination Survey (NHANES) was analyzed in this study.


## 2. Materials and Methods

### 2.1. Study Population

The NHANES is a representative survey of the national population of US, providing multitudinous information about the nutrition and health of the general US population using a complex, multistage, and probability sampling design [12]. Data for this study was obtained from the 1999–2001 continuous cycle of the US NHANES dataset. The number of subjects in this cycle was 9965. After excluding subjects without information on laboratory and demographic variables, 2555 subjects were finally included for analyses. The sample selection flow chart is presented in Figure 1.Figure 1
The sample selection flow chart.


### 2.2. Variables

In this study, the dependent variable wasH. pylori seropositivity, and the targeted independent variable was total BMD. H. pylori seropositivity was measured by the Wampole Laboratories H. pylori IgG Enzyme-Linked Immunosorbent Assays (ELISA). For each specimen, immune status ratio values of >1.1 and <0.9 were considered as seropositive and seronegative, respectively, whereas 0.9–1.1 were an equivocal value [13]. Subjects with equivocal values were excluded to prevent misleading statistical outcomes in this study. The measurements of total BMD were determined by DEXA scans. For covariates, sex, race, educational level, physical activity, body mass index (BMI), smoking behavior, and other disease status were used as categorical variables; age, poverty to income ratio, days drink in year, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake were used as continuous variables. More detailed information on H. pylori seropositivity, total BMD, and the covariates is publicly available at http://www.cdc.gov/nchs/nhanes/.


### 2.3. Statistical Analysis

The design of complex sampling strategies and appropriate weight were incorporated in all analyses. Weighted multivariate linear regression models were performed to evaluate the associations betweenH. pylori seropositivity and total BMD. The other variables were considered potential effect modifiers. For continuous variables, the weighted linear regression model was used to calculate the differences among different groups. For categorical variables, the weighted chi-square test was used. All analyses were conducted in R (http://www.R-project.org, The R Foundation) and EmpowerStats software (http://www. http://empowwerstats.com/, X&Y Solutions, Inc., Boston, MA).


## 2.1. Study Population

The NHANES is a representative survey of the national population of US, providing multitudinous information about the nutrition and health of the general US population using a complex, multistage, and probability sampling design [12]. Data for this study was obtained from the 1999–2001 continuous cycle of the US NHANES dataset. The number of subjects in this cycle was 9965. After excluding subjects without information on laboratory and demographic variables, 2555 subjects were finally included for analyses. The sample selection flow chart is presented in Figure 1.Figure 1
The sample selection flow chart.


## 2.2. Variables

In this study, the dependent variable wasH. pylori seropositivity, and the targeted independent variable was total BMD. H. pylori seropositivity was measured by the Wampole Laboratories H. pylori IgG Enzyme-Linked Immunosorbent Assays (ELISA). For each specimen, immune status ratio values of >1.1 and <0.9 were considered as seropositive and seronegative, respectively, whereas 0.9–1.1 were an equivocal value [13]. Subjects with equivocal values were excluded to prevent misleading statistical outcomes in this study. The measurements of total BMD were determined by DEXA scans. For covariates, sex, race, educational level, physical activity, body mass index (BMI), smoking behavior, and other disease status were used as categorical variables; age, poverty to income ratio, days drink in year, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake were used as continuous variables. More detailed information on H. pylori seropositivity, total BMD, and the covariates is publicly available at http://www.cdc.gov/nchs/nhanes/.


## 2.3. Statistical Analysis

The design of complex sampling strategies and appropriate weight were incorporated in all analyses. Weighted multivariate linear regression models were performed to evaluate the associations betweenH. pylori seropositivity and total BMD. The other variables were considered potential effect modifiers. For continuous variables, the weighted linear regression model was used to calculate the differences among different groups. For categorical variables, the weighted chi-square test was used. All analyses were conducted in R (http://www.R-project.org, The R Foundation) and EmpowerStats software (http://www. http://empowwerstats.com/, X&Y Solutions, Inc., Boston, MA).


## 3. Results

### 3.1. Characteristics of Included Subjects

A total of 2555 subjects were included in final analyses, of which 1263 (49.43%) subjects wereH. pylori seronegative and 1292 (50.57%) subjects were H. pylori seropositive. In these two groups, race, educational level, income poverty ratio, physical activity, days drink in year, smoking behavior, diabetes status, serum creatinine, bone alkaline phosphatase, dietary calcium intake, and total BMD were significantly different (P<0.05). More details are presented in Table 1.Table 1
Weighted characteristics of included subjects.
H. pylori seronegative (n=1263)H. pylori seropositive (n=1292)P valueAge (years)60.493±13.23961.158±12.9590.200Sex (%)0.433Male48.21949.768Female51.78150.232Race (%)<0.001Non-Hispanic white67.37927.941Non-Hispanic black12.74722.755Mexican American14.72738.854Other races5.14610.449Educational level (%)<0.001Less than high school26.92059.211High school25.17817.492College graduate or above47.90223.297Ratio of family income to poverty6.821±2.8565.794±2.568<0.001Body mass index (100%)0.398Undernutrition2.1421.208Normal30.03829.890Overweight35.22435.551Obese32.59633.351Smoking behavior (%)0.044None48.61447.988Past35.15432.198Current16.23119.814Days drink in year96.090±97.19879.335±78.680<0.001Physical activity (MET-based rank) (100%)<0.001024.14938.313132.22530.186216.70611.842326.92019.659Any hypertension (%)0.197None57.64155.108Yes42.35944.892Any diabetes (%)<0.001None86.93681.115Yes13.06418.885Any coronary artery disease (%)0.774None94.45894.195Yes5.5425.805Serum uric acid (mg/dL)5.408±1.5585.462±1.6370.389Total calcium (mg/dL)9.349±0.8985.462±1.6370.255Blood urea nitrogen (mg/dL)15.777±6.50815.630±6.2940.563Serum creatinine (μmol/L)1.419±0.4701.454±0.5150.070Total cholesterol (mg/dL)203.684±42.647204.084±43.0370.813Bone alkaline phosphatase (mg/dL)362.894±85.213372.056±83.9240.006Dietary calcium intake (mg)795.699±493.174671.269±505.352<0.001Total bone mineral density (g/cm2)1.088±0.1301.074±0.1290.007Mean±SD for continuous variables: P value was calculated by a weighted linear regression model. % for categorical variables: P value was calculated by a weighted chi-square test.


### 3.2. Association between H. pylori Seropositivity and Total BMD

#### 3.2.1. Multiple Regression Model

Three weighted univariate and multivariate linear regression models were constructed: model I, unadjusted; model II, age, sex, and race that were adjusted; and model III, covariates presented in Table1 that were adjusted. In the unadjusted model, a negative association was found between H. pylori seropositivity and total BMD (β=−0.015, 95% CI: -0.025 to -0.006, P=0.001). However, after variable adjustments, the association between H. pylori seropositivity and total BMD was not significant in model II and model III. Details are presented in Table 2.Table 2
Association ofH. pylori seropositive and total bone mineral density.
Effect modifierModel I (β, 95% CI, P)Model II (β, 95% CI, P)Model III (β, 95% CI, P)Total-0.015 (-0.025, -0.006) 0.001-0.002 (-0.011, 0.007) 0.6650.006 (-0.003, 0.015) 0.177Age groups40-55 years (n=977)-0.001 (-0.016, 0.013) 0.8500.004 (-0.011, 0.019) 0.5900.018 (0.004, 0.033) 0.012~70 years (n=921)-0.019 (-0.035, -0.003) 0.0188-0.014 (-0.029, 0.001) 0.064-0.010 (-0.025, 0.004) 0.169~85 years (n=657)0.007 (-0.012, 0.026) 0.4870.008 (-0.008, 0.023) 0.3290.009 (-0.007, 0.024) 0.257SexMale (n=1252)0.002 (-0.011, 0.015) 0.7460.013 (-0.000, 0.026) 0.0560.019 (0.007, 0.032) 0.003Female (n=1303)-0.031 (-0.044, -0.018) <0.001-0.014 (-0.025, -0.002) 0.023-0.002 (-0.014, 0.009) 0.730RaceNon-Hispanic White (n=1212)-0.023 (-0.039, -0.007) 0.004-0.003 (-0.016, 0.010) 0.6550.008 (-0.005, 0.021) 0.237Non-Hispanic Black (n=455)-0.019 (-0.043, 0.006) 0.131-0.018 (-0.039, 0.003) 0.100-0.013 (-0.035, 0.008) 0.230Mexican American (n=688)0.006 (-0.013, 0.025) 0.514-0.004 (-0.020, 0.013) 0.6720.003 (-0.014, 0.020) 0.703Other races (n=200)0.018 (-0.013, 0.049) 0.2560.024 (-0.004, 0.051) 0.0890.015 (-0.010, 0.041) 0.244BMI categoriesUndernutrition (n=36)-0.081 (-0.199, 0.037) 0.1880.020 (-0.093, 0.134) 0.728-0.000 (-0.282, 0.281) 0.997Normal (n=695)-0.015 (-0.034, 0.004) 0.1310.001 (-0.017, 0.018) 0.9510.017 (-0.001, 0.035) 0.064Overweight (n=953)-0.010 (-0.026, 0.006) 0.2340.005 (-0.009, 0.019) 0.5150.007 (-0.007, 0.022) 0.304Obese (n=871)-0.023 (-0.039, -0.007) 0.0056-0.008 (-0.022, 0.006) 0.270-0.003 (-0.017, 0.011) 0.668Model I: no covariates were adjusted; model II: age, sex, and race were adjusted; model III: age, sex, race, educational level, body mass index, ratio of family income to poverty, physical activity, smoking behavior, hypertension status, diabetes status, coronary artery disease status, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake were adjusted.


#### 3.2.2. Subgroup Analyses

In the subgroup analyses stratified by age, a positive association was observed between theH. pylori seropositivity and total BMD among subjects aged 40-55 years (β=0.018, 95% CI: 0.004 to 0.033, P=0.012); however, the total BMD was not related to H. pylori seropositivity in other groups. In the subgroup analyses stratified by sex, a positive association was observed between the H. pylori seropositive and total BMD in male (β=0.019, 95% CI: 0.007 to 0.032, P=0.003); however, the total BMD was not related to H. pylori seropositivity in female. In the subgroup analyses stratified by race and BMI categories, no association was found between H. pylori seropositivity and total BMD. Details are presented in Table 2.In the subgroup analysis by age and sex, a positive association was observed between theH. pylori seropositivity and total BMD in male aged 40–55 years (β=0.034, 95% CI: 0.013 to 0.056, P=0.002); however, no association was found between H. pylori seropositivity and total BMD in female aged 40–55 years. Moreover, in the groups of age over 55 years, no association was found between H. pylori seropositivity and total BMD neither male nor female. Details are presented in Table 3.Table 3
Total bone mineral density stratified by race and age.
Helicobacter pylori infectionTotal bone mineral density (g/cm2) (β, 95% CI, P)40-55 years56~70 years71~85 yearsMale0.034 (0.013, 0.056) 0.002-0.001 (-0.022, 0.020) 0.9070.010 (-0.014, 0.015) 0.907Female0.005 (-0.014, 0.023) 0.616-0.011 (-0.031, 0.009) 0.2850.008 (-0.014, 0.029) 0.485Adjusted for age, sex, race, educational level, body mass index, ratio of family income to poverty, physical activity, smoking behavior, hypertension status, diabetes status, coronary artery disease status, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake.


## 3.1. Characteristics of Included Subjects

A total of 2555 subjects were included in final analyses, of which 1263 (49.43%) subjects wereH. pylori seronegative and 1292 (50.57%) subjects were H. pylori seropositive. In these two groups, race, educational level, income poverty ratio, physical activity, days drink in year, smoking behavior, diabetes status, serum creatinine, bone alkaline phosphatase, dietary calcium intake, and total BMD were significantly different (P<0.05). More details are presented in Table 1.Table 1
Weighted characteristics of included subjects.
H. pylori seronegative (n=1263)H. pylori seropositive (n=1292)P valueAge (years)60.493±13.23961.158±12.9590.200Sex (%)0.433Male48.21949.768Female51.78150.232Race (%)<0.001Non-Hispanic white67.37927.941Non-Hispanic black12.74722.755Mexican American14.72738.854Other races5.14610.449Educational level (%)<0.001Less than high school26.92059.211High school25.17817.492College graduate or above47.90223.297Ratio of family income to poverty6.821±2.8565.794±2.568<0.001Body mass index (100%)0.398Undernutrition2.1421.208Normal30.03829.890Overweight35.22435.551Obese32.59633.351Smoking behavior (%)0.044None48.61447.988Past35.15432.198Current16.23119.814Days drink in year96.090±97.19879.335±78.680<0.001Physical activity (MET-based rank) (100%)<0.001024.14938.313132.22530.186216.70611.842326.92019.659Any hypertension (%)0.197None57.64155.108Yes42.35944.892Any diabetes (%)<0.001None86.93681.115Yes13.06418.885Any coronary artery disease (%)0.774None94.45894.195Yes5.5425.805Serum uric acid (mg/dL)5.408±1.5585.462±1.6370.389Total calcium (mg/dL)9.349±0.8985.462±1.6370.255Blood urea nitrogen (mg/dL)15.777±6.50815.630±6.2940.563Serum creatinine (μmol/L)1.419±0.4701.454±0.5150.070Total cholesterol (mg/dL)203.684±42.647204.084±43.0370.813Bone alkaline phosphatase (mg/dL)362.894±85.213372.056±83.9240.006Dietary calcium intake (mg)795.699±493.174671.269±505.352<0.001Total bone mineral density (g/cm2)1.088±0.1301.074±0.1290.007Mean±SD for continuous variables: P value was calculated by a weighted linear regression model. % for categorical variables: P value was calculated by a weighted chi-square test.


## 3.2. Association between H. pylori Seropositivity and Total BMD

### 3.2.1. Multiple Regression Model

Three weighted univariate and multivariate linear regression models were constructed: model I, unadjusted; model II, age, sex, and race that were adjusted; and model III, covariates presented in Table1 that were adjusted. In the unadjusted model, a negative association was found between H. pylori seropositivity and total BMD (β=−0.015, 95% CI: -0.025 to -0.006, P=0.001). However, after variable adjustments, the association between H. pylori seropositivity and total BMD was not significant in model II and model III. Details are presented in Table 2.Table 2
Association ofH. pylori seropositive and total bone mineral density.
Effect modifierModel I (β, 95% CI, P)Model II (β, 95% CI, P)Model III (β, 95% CI, P)Total-0.015 (-0.025, -0.006) 0.001-0.002 (-0.011, 0.007) 0.6650.006 (-0.003, 0.015) 0.177Age groups40-55 years (n=977)-0.001 (-0.016, 0.013) 0.8500.004 (-0.011, 0.019) 0.5900.018 (0.004, 0.033) 0.012~70 years (n=921)-0.019 (-0.035, -0.003) 0.0188-0.014 (-0.029, 0.001) 0.064-0.010 (-0.025, 0.004) 0.169~85 years (n=657)0.007 (-0.012, 0.026) 0.4870.008 (-0.008, 0.023) 0.3290.009 (-0.007, 0.024) 0.257SexMale (n=1252)0.002 (-0.011, 0.015) 0.7460.013 (-0.000, 0.026) 0.0560.019 (0.007, 0.032) 0.003Female (n=1303)-0.031 (-0.044, -0.018) <0.001-0.014 (-0.025, -0.002) 0.023-0.002 (-0.014, 0.009) 0.730RaceNon-Hispanic White (n=1212)-0.023 (-0.039, -0.007) 0.004-0.003 (-0.016, 0.010) 0.6550.008 (-0.005, 0.021) 0.237Non-Hispanic Black (n=455)-0.019 (-0.043, 0.006) 0.131-0.018 (-0.039, 0.003) 0.100-0.013 (-0.035, 0.008) 0.230Mexican American (n=688)0.006 (-0.013, 0.025) 0.514-0.004 (-0.020, 0.013) 0.6720.003 (-0.014, 0.020) 0.703Other races (n=200)0.018 (-0.013, 0.049) 0.2560.024 (-0.004, 0.051) 0.0890.015 (-0.010, 0.041) 0.244BMI categoriesUndernutrition (n=36)-0.081 (-0.199, 0.037) 0.1880.020 (-0.093, 0.134) 0.728-0.000 (-0.282, 0.281) 0.997Normal (n=695)-0.015 (-0.034, 0.004) 0.1310.001 (-0.017, 0.018) 0.9510.017 (-0.001, 0.035) 0.064Overweight (n=953)-0.010 (-0.026, 0.006) 0.2340.005 (-0.009, 0.019) 0.5150.007 (-0.007, 0.022) 0.304Obese (n=871)-0.023 (-0.039, -0.007) 0.0056-0.008 (-0.022, 0.006) 0.270-0.003 (-0.017, 0.011) 0.668Model I: no covariates were adjusted; model II: age, sex, and race were adjusted; model III: age, sex, race, educational level, body mass index, ratio of family income to poverty, physical activity, smoking behavior, hypertension status, diabetes status, coronary artery disease status, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake were adjusted.


### 3.2.2. Subgroup Analyses

In the subgroup analyses stratified by age, a positive association was observed between theH. pylori seropositivity and total BMD among subjects aged 40-55 years (β=0.018, 95% CI: 0.004 to 0.033, P=0.012); however, the total BMD was not related to H. pylori seropositivity in other groups. In the subgroup analyses stratified by sex, a positive association was observed between the H. pylori seropositive and total BMD in male (β=0.019, 95% CI: 0.007 to 0.032, P=0.003); however, the total BMD was not related to H. pylori seropositivity in female. In the subgroup analyses stratified by race and BMI categories, no association was found between H. pylori seropositivity and total BMD. Details are presented in Table 2.In the subgroup analysis by age and sex, a positive association was observed between theH. pylori seropositivity and total BMD in male aged 40–55 years (β=0.034, 95% CI: 0.013 to 0.056, P=0.002); however, no association was found between H. pylori seropositivity and total BMD in female aged 40–55 years. Moreover, in the groups of age over 55 years, no association was found between H. pylori seropositivity and total BMD neither male nor female. Details are presented in Table 3.Table 3
Total bone mineral density stratified by race and age.
Helicobacter pylori infectionTotal bone mineral density (g/cm2) (β, 95% CI, P)40-55 years56~70 years71~85 yearsMale0.034 (0.013, 0.056) 0.002-0.001 (-0.022, 0.020) 0.9070.010 (-0.014, 0.015) 0.907Female0.005 (-0.014, 0.023) 0.616-0.011 (-0.031, 0.009) 0.2850.008 (-0.014, 0.029) 0.485Adjusted for age, sex, race, educational level, body mass index, ratio of family income to poverty, physical activity, smoking behavior, hypertension status, diabetes status, coronary artery disease status, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake.


## 3.2.1. Multiple Regression Model

Three weighted univariate and multivariate linear regression models were constructed: model I, unadjusted; model II, age, sex, and race that were adjusted; and model III, covariates presented in Table1 that were adjusted. In the unadjusted model, a negative association was found between H. pylori seropositivity and total BMD (β=−0.015, 95% CI: -0.025 to -0.006, P=0.001). However, after variable adjustments, the association between H. pylori seropositivity and total BMD was not significant in model II and model III. Details are presented in Table 2.Table 2
Association ofH. pylori seropositive and total bone mineral density.
Effect modifierModel I (β, 95% CI, P)Model II (β, 95% CI, P)Model III (β, 95% CI, P)Total-0.015 (-0.025, -0.006) 0.001-0.002 (-0.011, 0.007) 0.6650.006 (-0.003, 0.015) 0.177Age groups40-55 years (n=977)-0.001 (-0.016, 0.013) 0.8500.004 (-0.011, 0.019) 0.5900.018 (0.004, 0.033) 0.012~70 years (n=921)-0.019 (-0.035, -0.003) 0.0188-0.014 (-0.029, 0.001) 0.064-0.010 (-0.025, 0.004) 0.169~85 years (n=657)0.007 (-0.012, 0.026) 0.4870.008 (-0.008, 0.023) 0.3290.009 (-0.007, 0.024) 0.257SexMale (n=1252)0.002 (-0.011, 0.015) 0.7460.013 (-0.000, 0.026) 0.0560.019 (0.007, 0.032) 0.003Female (n=1303)-0.031 (-0.044, -0.018) <0.001-0.014 (-0.025, -0.002) 0.023-0.002 (-0.014, 0.009) 0.730RaceNon-Hispanic White (n=1212)-0.023 (-0.039, -0.007) 0.004-0.003 (-0.016, 0.010) 0.6550.008 (-0.005, 0.021) 0.237Non-Hispanic Black (n=455)-0.019 (-0.043, 0.006) 0.131-0.018 (-0.039, 0.003) 0.100-0.013 (-0.035, 0.008) 0.230Mexican American (n=688)0.006 (-0.013, 0.025) 0.514-0.004 (-0.020, 0.013) 0.6720.003 (-0.014, 0.020) 0.703Other races (n=200)0.018 (-0.013, 0.049) 0.2560.024 (-0.004, 0.051) 0.0890.015 (-0.010, 0.041) 0.244BMI categoriesUndernutrition (n=36)-0.081 (-0.199, 0.037) 0.1880.020 (-0.093, 0.134) 0.728-0.000 (-0.282, 0.281) 0.997Normal (n=695)-0.015 (-0.034, 0.004) 0.1310.001 (-0.017, 0.018) 0.9510.017 (-0.001, 0.035) 0.064Overweight (n=953)-0.010 (-0.026, 0.006) 0.2340.005 (-0.009, 0.019) 0.5150.007 (-0.007, 0.022) 0.304Obese (n=871)-0.023 (-0.039, -0.007) 0.0056-0.008 (-0.022, 0.006) 0.270-0.003 (-0.017, 0.011) 0.668Model I: no covariates were adjusted; model II: age, sex, and race were adjusted; model III: age, sex, race, educational level, body mass index, ratio of family income to poverty, physical activity, smoking behavior, hypertension status, diabetes status, coronary artery disease status, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake were adjusted.


## 3.2.2. Subgroup Analyses

In the subgroup analyses stratified by age, a positive association was observed between theH. pylori seropositivity and total BMD among subjects aged 40-55 years (β=0.018, 95% CI: 0.004 to 0.033, P=0.012); however, the total BMD was not related to H. pylori seropositivity in other groups. In the subgroup analyses stratified by sex, a positive association was observed between the H. pylori seropositive and total BMD in male (β=0.019, 95% CI: 0.007 to 0.032, P=0.003); however, the total BMD was not related to H. pylori seropositivity in female. In the subgroup analyses stratified by race and BMI categories, no association was found between H. pylori seropositivity and total BMD. Details are presented in Table 2.In the subgroup analysis by age and sex, a positive association was observed between theH. pylori seropositivity and total BMD in male aged 40–55 years (β=0.034, 95% CI: 0.013 to 0.056, P=0.002); however, no association was found between H. pylori seropositivity and total BMD in female aged 40–55 years. Moreover, in the groups of age over 55 years, no association was found between H. pylori seropositivity and total BMD neither male nor female. Details are presented in Table 3.Table 3
Total bone mineral density stratified by race and age.
Helicobacter pylori infectionTotal bone mineral density (g/cm2) (β, 95% CI, P)40-55 years56~70 years71~85 yearsMale0.034 (0.013, 0.056) 0.002-0.001 (-0.022, 0.020) 0.9070.010 (-0.014, 0.015) 0.907Female0.005 (-0.014, 0.023) 0.616-0.011 (-0.031, 0.009) 0.2850.008 (-0.014, 0.029) 0.485Adjusted for age, sex, race, educational level, body mass index, ratio of family income to poverty, physical activity, smoking behavior, hypertension status, diabetes status, coronary artery disease status, serum uric acid, total calcium, blood urea nitrogen, serum creatinine, total cholesterol, bone alkaline phosphatase, and dietary calcium intake.


## 4. Discussion

The purpose of this study was to explore the associations betweenH. pylori seropositivity and total BMD using the data from NHANES. In summary, no association was found between H. pylori seropositivity and total BMD among most middle-aged and elderly adults. However, in the subgroup analyses stratified by age, a positive association was observed between the H. pylori seropositivity and total BMD among subjects aged 40-55 years; in the subgroup analyses stratified by sex, a positive association was observed between the H. pylori seropositive and total BMD in male; in the subgroup analyses stratified by age and sex, the total BMD was higher in men aged 40-55 years with H. pylori seropositive than those with H. pylori seronegative.Osteoporosis, as one of the metabolic bone diseases, is characterized by constant loss of BMD. It is important to understand the risk factors for BMD loss, which can help in the prevention, early diagnosis, and management of osteoporosis.H. pylori has been coevolved with humans over 50,000 years. Infection with H. pylori is a common risk factor for susceptibility to metabolic diseases; however, the association between H. pylori infection and BMD is limited and controversial. In most studies [14–21], no association between H. pylori infection and BMD or osteoporosis was observed, which is consistent with our observation. Recently, a meta-analysis including 1321 adults without other causes of osteoporosis or pathological bone disease at baseline showed that H. pylori infection was not associated with osteoporosis (OR=1.49, 95% CI: 0.88 to 2.55) [11]. However, another pooled study [10] including 9655 subjects came to the opposite conclusion that H. pylori infection was associated with increased odds of osteoporosis (OR=1.39, 95% CI: 1.13 to 1.71). Notably, as acknowledged by the authors, the reference value of the results needs to be further validated due to the heterogeneity of the included studies. Thus, heterogeneity between these studies, including differences in the study design, study simple, and the controlled confounding variables, may explain the controversial findings. In this study, a nationally representative sample of US was used, so the findings are highly relevant to the whole population. Additionally, we further performed subgroup analyses for more appropriate representation of the dataset as recommended by the STROBE statement [22], and a special group was found; that is, a positive association was found between H. pylori seropositive and total BMD in male aged 40–55 years. As recently reported, sex and age are also predictors of H. pylori infection and BMD [9]. Furthermore, an interesting finding was reported; that is, 63.6% studies conducted in Eastern countries have observed an association between H. pylori infection and BMD status, whereas only 22.2% studies conducted in Western countries have observed such association [9]. The difference in the prevalence of H. pylori infection (about 30% in developed countries and up to 80% in developing countries) seems to contribute to the understanding of these findings [20].The mechanism by whichH. pylori infection increases the risk of osteoporosis and fracture remains to be elucidated in detail. Based on the evidence available to date, several potential mechanisms may underlie the association between H. pylori infection and osteoporosis. First, proinflammatory cytokines can act on mesenchymal stem cells and osteoclast precursors to enhance osteoclast-mediated bone resorption [23]. It was reported that high levels of circulating inflammatory markers were associated with increased bone loss or increased fracture risk [24, 25]. Therefore, it is likely that H. pylori increases the risk of osteoporosis by promoting an inflammatory response to produce proosteoclastogenic cytokines such as TNFα, IL-1, IL-6, and IL-8 [23]. Second, H. pylori infection was associated with reduced levels of estrogen, total estradiol, free estradiol, and bioavailable estradiol in both genders [26]. It was found that decreased estrogen production was associated with a sustained increase in the spontaneous secretion of osteoclastogenic cytokines by T cells, mononuclear cells, and bone marrow stromal cells, leading to net bone loss with increased bone resorption and decreased bone formation [27]. Third, chronic H. pylori infection may be associated with gastric mucosal atrophy. Atrophy of the gastric mucosa can inhibit acid secretion and thus affect calcium absorption and consequently adversely affect bone mass [15]. However, a recent cross-sectional study of 268 healthy men showed that decreased bone mineral density was not associated with H. pylori-associated estradiol levels or gastric mucosal atrophy [21]. Similarly, the chronic use of proton pump inhibitors for treatment for gastroduodenal mucosal injury may result in low levels of gastric acid, which is believed to impair calcium solubility and lead to malabsorption, thereby exacerbating bone mineral density loss secondary to hypocalcemic hyperparathyroidism, osteoclast activation, and bone resorption [28, 29]. Overall, the current available data are equivocal, and further mechanistic studies are still necessary.To the best of our knowledge, this is the first study to explore the association betweenH. pylori seropositive and BMD using the data from NHANES. The NHANES features a rigorous sampling design from the national population of US, high-quality research measurement, detailed quality control procedures, and a more representative population. However, limitations must be acknowledged. First, all data in NHANES are cross-sectional; this study cannot draw the causal relationship between H. pylori seropositive and total BMD. Second, the bias caused by other potential confounding factors that did not be adjusted in this study is not excluded. Furthermore, this study did not include the inflammation status of the subjects, which can possibly explain the relationship between H. Pylori seropositive and bone health.


## 5. Conclusion

In conclusion, no association betweenH. pylori seropositive and total BMD was demonstrated in our study. H. pylori infection may not be one key factor in the loss of BMD.



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