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Original Article
The risk of gastric cancer according to changes in smoking status among Korean men
Sung Keun Park1orcid, Min-Ho Kim2orcid, Chang-Mo Oh3orcid, Eunhee Ha4orcid, Eun Hye Yang5orcid, Woo Yeon Hwang6orcid, Ann Hee You7orcid, Jae-Hong Ryoo8orcid
Epidemiol Health 2022;44:e2022086.
DOI: https://doi.org/10.4178/epih.e2022086
Published online: October 7, 2022

1Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea

2Informatization Department, Ewha Womans University Seoul Hospital, Seoul, Korea

3Departments of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea

4Department of Occupational and Environment Medicine, Ewha Womans University College of Medicine, Seoul, Korea

5Department of Occupational and Environmental Medicine, Kyung Hee University Hospital, Seoul, Korea

6Department of Obstetrics and Gynecology, Kyung Hee University Hospital, Seoul, Korea

7Department of Anesthesiology and Pain Medicine, Kyung Hee University Hospital, Seoul, Korea

8Departments of Occupational and Environmental Medicine, Kyung Hee University School of Medicine, Seoul, Korea

Correspondence: Jae-Hong Ryoo Departments of Occupational and Environmental Medicine, Kyung Hee University School of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea E-mail: armani131@naver.com
• Received: July 4, 2022   • Accepted: October 7, 2022

© 2022 Korea Disease Control and Prevention Agency.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • OBJECTIVES
    Smoking is a risk factor for gastric cancer. Studies have shown that the risk of gastric cancer can vary by smoking status and smoking amount at a single point in time. However, few data have been reported about the effect of changes in smoking status over time on the risk of gastric cancer.
  • METHODS
    This study collected data from the National Health Insurance Corporation in Korea on 97,700 Korean men without gastric cancer who underwent health check-ups from 2002 to 2013. The smoking status (never smoked, quit smoking, and currently smoking) of study participants was assessed in 2003-2004 and 2009, and the results were categorized into 7 groups: never-never, never-quit, never-current, quit-quit, quit-current, current-quit, and current-current. Participants were followed until 2013 to identify incident gastric cancer. A multivariate Cox proportional hazard model was used to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident gastric cancer according to changes in smoking status and smoking amount (pack-years).
  • RESULTS
    Compared with group 1 (never-never), participants currently smoking in 2009 (never-current, quit-current, and current-current) had higher HRs for gastric cancer (never-quit: 1.077; 95% CI, 0.887 to 1.306, never-current: 1.347; 95% CI, 0.983 to1.846, quit-quit: 1.086; 95% CI, 0.863 to 1.366, quit-current: 1.538; 95% CI, 1.042 to 2.269, current-quit: 1.339; 95% CI, 1.077 to 1.666, and current-current: 1.589; 95% CI, 1.355 to 1.864, respectively). The risk for gastric cancer was highest in heavy smokers, followed by moderate smokers.
  • CONCLUSIONS
    In all categories of smoking status, current smoking was associated with the highest risk of gastric cancer. Heavy smoking was associated with an increased risk of gastric cancer, even in former smokers.
Although the incidence and mortality of gastric cancer have gradually decreased worldwide, gastric cancer is still the fifth most common malignancy and third leading cause of cancer death globally [1]. East Asia, including Korea, is characterized by a high prevalence of gastric cancer, accounting for three-quarters of the global incident cases [2]. Thus, there is interest in identifying potentially modifiable environmental factors and determining their role in the development of gastric cancer.
Smoking is a major concern in global public health. Despite a global decline in the proportion of smokers, the total number of smokers has increased due to population growth [3]. Smoking is known to contribute to the pathogenesis of diverse cancers and is a key risk factor for gastric cancer. Epidemiological studies have consistently reported that current smoking is associated with a 1.5 to 2.5-fold increase in the risk of gastric cancer compared with never having smoked [4-6]. Although the intensity and duration of smoking have been associated with the risk of gastric cancer in a dose-response pattern [7-9], this association has not been confirmed in former smokers. A study of East Asians showed that former smokers had a risk of gastric cancer like that of those who have never smoked [6]. Another study indicated that the risk of gastric cancer decreased with an increase in the duration of smoking cessation and approached the level of never smokers after 10 years [10]. Although smoking is a known risk factor, these studies suggest that the risk of gastric cancer can vary by smoking status [6-10].
Most studies have investigated the association between smoking and gastric cancer based on smoking status or smoking amount at a single point in time. However, smoking status can change over time. Social policies and anti-smoking campaigns recognize the common cycles of smoking status (e.g., cessation, a return to smoking, and repeat cessation) that result in smoking status changes. However, no studies have yet assessed the risk of gastric cancer according to these changes in smoking status.
The purpose of our study was to identify the effect of changes in smoking status on the risk of gastric cancer. Therefore, we investigated the risk of incident gastric cancer according to changes in 3 categories of smoking status (never smoked, quit smoking, and currently smoking) over time.
Data sources
In Korea, the National Health Insurance Corporation (NHIC) provides the National Health Insurance Service (NHIS), which covers 97% of the Korean population. Medical information from the NHIS, which represents the medical service usage of the entire Korean population, is stored in the National Health Information Database (NHID) [11], including data from the annual or biennial national health check-ups of all adults aged > 40 years.
Most Korean medical institutions have a contract with the NHIC to provide the medical information of their healthcare users and patients. Therefore, the NHID contains the medical information and socio-demographic variables of the Korean population collected from health care utilization and health check-ups. In recent years, the NHIS in Korea has provided access to the sampled database for research purposes after deleting personal identification information. The sampled data includes information from health check-ups and is linked with Statistics Korea, which contains data on the development of gastric cancer in Korea.
Study participants
Based on the NHID information, 194,444 subjects who underwent health check-ups between 2003-2004 and in 2009 and had valid cigarette smoking records were included in our study. Of these, 10,742 participants whose smoking status was not valid (quit-never and current-never) were excluded. In addition, we excluded 2,347 participants who were diagnosed with gastric cancer between 2002 and the date before their medical health examination in 2009, as well as 83,655 women participants. The final analysis included 97,700 participants who were monitored for incident gastric cancer. The total follow-up period was 423,288.7 person-years and the average follow-up period was 4.33 (standard deviation [SD], 0.53) person-years.
Definition of changes in smoking status and smoking amount
Changes in smoking status were assessed by answers to a selfadministered questionnaire during the biennial health check-up. According to responses about smoking status at the time of their health check-up in 2003-2004 and again in 2009, study participants were categorized into 3 groups: never (participants who never smoked), quit (participants who had quit smoking) and current (participants currently smoking). Study participants were then further categorized into 7 groups based on their change in smoking status between the first examination (2003-2004) and the second examination (2009) as follows: group 1 (never-never), group 2 (never-quit), group 3 (never-current), group 4 (quit-quit), group 5 (quit-current), group 6 (current-quit), and group 7 (current-current). Smoking amount was determined in 2009 and was defined in pack-years (1 pack year= 1 year× 1 pack per day). Participants were divided by smoking amount into 4 groups: never smokers, light smokers (0-10 pack-years), moderate smokers (10-20 pack-years), and heavy smokers (> 20 pack-years).
Health survey examinations and laboratory measurements
The NHIC general health examination is conducted in 2 stages. The first stage is a comprehensive screening test to determine the presence or absence of disease among the general population without symptoms. The second stage includes consultation screening tests and a more detailed examination to confirm the presence of disease. These health examinations also include a questionnaire covering lifestyle and past medical history. Our study data included information provided by these questionnaires, as well as anthropometric measurements and laboratory measurements. Alcohol intake was defined as consuming alcohol > 3 times per week. Physical activity was defined as moderate-intensity physical activity (at least 30 minutes per day > 4 days each week) or vigorousintensity physical activity (at least 20 minutes per day > 4 days each week). Body mass index (BMI) was calculated as weight (kg) divided by height squared (meters).
Systolic blood pressure (BP) and diastolic BP were measured by trained examiners. The following laboratory data were measured when these participants underwent health examinations: fasting blood glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, aspartate aminotransferase, alanine aminotransferase and gamma-glutamyl transferase (GGT) levels.
Outcome definitions
The NHID was linked to data on diagnosed diseases from Statistics Korea. In this study, the entry date was the time of the first health check-up after 2009, and the last follow-up date for diagnosis of gastric cancer was December 31, 2013. The primary endpoint of this study was the identification of gastric cancer based on the International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes registered in the NHID. Gastric cancer was diagnosed based on biopsy results after endoscopy with an ICD-10 code assigned at the time (C16).
Statistical analysis
Data were expressed as mean±SD or median (interquartile range) for continuous variables and percentages for categorical variables. One-way analysis of variance and the chi-square test were used to analyze statistical differences among the characteristics of the study participants at the time of enrollment in relation to changes in smoking status. Person years were calculated as the sum of the follow-up years for all participants from the baseline entry date until the date of gastric cancer diagnosis or until December 31, 2013, whichever came first.
To evaluate associations among the 7 groups according to changes in smoking status and incident gastric cancer, we used Cox proportional hazards models to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident gastric cancer. The Cox proportional hazards models were adjusted for multiple confounding factors. In the multivariate-adjusted models, we included variables that might confound the relationship between smoking status change and smoking amount and incident gastric cancer, such as age, BMI, systolic BP, fasting blood glucose level, total cholesterol level, alcohol intake, and physical activity. To test the validity of the Cox proportional hazard models, we checked the proportional hazard assumption. The proportional hazard assumption was assessed using a log-minus-log survival function and was found to be graphically unviolated. A p-value < 0.05 indicated statistical significance. All statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).
Ethics statement
Ethics approval for the study protocol and analysis of the data was obtained from the Institutional Review Board (IRB) of Kyung Hee University Hospital. The informed consent requirement was exempted by the IRB because researchers retrospectively accessed an anonymized database for analysis purposes.
During 423,288.7 person-years of follow-up, 1,119 (1.15%) incident cases of gastric cancer developed between 2009 and 2013. The baseline characteristics of the study participants in relation to the 7 groups of smoking status change are presented in Table 1. At baseline, the mean± SD age and BMI of study participants were 57.2± 8.5 years and 24.0± 2.7 kg/m2, respectively. Group 7 (current-current smoking) was characterized by more alcohol intake, higher triglyceride levels, higher GGT levels, a higher proportion of heavy smokers, lower physical activity, and a higher incidence of gastric cancer than other groups. In terms of other variables, despite statistically significant differences among groups, we did not find noteworthy differences or specific directions of relationships among groups.
Table 2 shows the HRs and 95% CIs for the incidence of gastric cancer according to the 7 groups classified by changes in smoking status. In the unadjusted model, group 7 (current-current) had a higher HR (95% CI) for incident gastric cancer than group 1 (never-never): group 1 (reference); group 2, 1.078 (95% CI, 0.891 to 1.305); group 3, 1.153 (95% CI, 0.853 to 1.558); group 4, 0.891 (95% CI, 0.711 to 1.116); group 5, 1.179 (95% CI, 0.806 to 1.725); group 6, 1.056 (95% CI, I0.853 to 1.308); and group 7, 1.217 (95% CI, 1.045 to 1.416). The multivariable-adjusted model showed that groups 5-7 were significantly associated with incident gastric cancer, when compared with group 1: never-quit, 1.077 (95% CI, 0.887 to 1.306), never-current, 1.347 (95% CI, 0.983 to 1.846), quit-quit, 1.086 (95% CI, 0.863 to 1.366), quit-current, 1.538 (95% CI, 1.042 to 2.269), current-quit, 1.339 (95% CI, 1.077 to 1.666), and current-current, 1.589 (95% CI, 1.355 to 1.864).
Table 3 shows the HRs (95% CIs) for the incidence of gastric cancer according to smoking amount (pack-years). In the unadjusted model, the HRs (95% CIs) for the incidence of gastric cancer comparing light smokers, moderate smokers, and heavy smokers versus never smokers were 0.936 (95% CI, 0.783 to 1.118), 1.027 (95% CI, 0.864 to 1.221), and 1.289 (95% CI, 1.111 to 1.496), respectively (p for trend < 0.001). This association remained statistically significant, even after further adjustments for covariates in the multivariate-adjusted model: never smokers (reference); light smokers, 1.191 (95% CI, 0.992 to 1.430); moderate smokers, 1.298 (95% CI, 1.085 to 1.551); and heavy smokers, 1.410 (95% CI, 1.210 to 1.644) (p for trend < 0.001).
The aim of this study was to quantify the risk of gastric cancer in Korean men according to changes in smoking status over time. We found that the risk of gastric cancer was relatively higher in men currently smoking in 2009 regardless of previous smoking status, compared with the never-never group. Although group 3 (never-current) had a widely dispersed 95% CI (HR, 1.347; 95% CI, 0.983 to 1.846), the 3 currently smoking groups in 2009 (never-current, quit-current, and current-current) had higher HRs for gastric cancer than the never-never group. This result suggested that a currently smoking status was the strongest risk factor for the future development of gastric cancer among all smoking status groups.
Our results are in line with previous studies that investigated the relationship between smoking and gastric cancer. Two meta-analyses of 46 case-control studies and 32 cohort studies demonstrated that “currently smoking” was associated with an increase in the risk of gastric cancer by 57% and 62%, respectively [12,13]. In a recent meta-analysis of 23 epidemiological works, current daily cigarette smoking showed an up to 32% elevation in the risk of gastric cancer [11]. These results are evidence that current smoking is causally linked to the development of gastric cancer. However, it is unclear whether former smoking is associated with an increased risk of gastric cancer. Our analysis showed that the former smoker groups (never-quit and quit-quit) did not have significantly higher HRs for incident gastric cancer compared with the never-never group. Previous studies have also demonstrated that the risk of gastric cancer in former smokers is lower than in current smokers, decreasing to the level of never smokers as the duration of smoking cessation increases [5-9]. Overall, our findings conclude that never smoking is optimal for preventing gastric cancer and that cessation of smoking is critical for current smokers.
The mechanisms by which smoking is involved in gastric carcinogenesis may help explain our results. Cigarettes contain multiple components (e.g., nicotine, aromatic amines, phenolic compounds, and N-nitroso compounds) that can be toxic and carcinogenic [14,15]. Studies have demonstrated that nicotine promotes gastric tumor growth and neovascularization [16]. Nicotine activates the nicotinic acetylcholine receptors on cancer cells and induces the release of growth factors such as vascular endothelial growth factor and interleukin-1β into the tumor microenvironment, which increases tumor angiogenesis and promotes tumor growth [17-19]. In a study of gastric cancer cases, levels of stable DNA adducts were significantly higher in the DNA of smokers than in the DNA of non-smokers [20]. N-nitroso compounds are carcinogens in tobacco that have been linked to the etiology of gastric cancer [21]. Additionally, smoking contributes to sequential changes from the gastric mucosa to precancerous lesions and then to cancer. A population-based gastroscopic screening study showed that smoking was significantly associated with precancerous lesions, including chronic atrophic gastritis and intestinal metaplasia and dysplasia [22]. The adverse effects of smoking may be most active in current smokers and less active in former smokers, depending on the duration of smoking cessation.
We assessed the risk of gastric cancer by smoking amount. Compared with never smokers, moderate smokers and heavy smokers showed an increased risk of gastric cancer in a dose-dependent pattern. This finding indicates that greater smoking amounts lead to a higher risk of gastric cancer. Interestingly, the former smokers in group 6 (current-quit) showed a significant association with an increased risk of gastric cancer. A plausible explanation for this finding may be the smoking amount in group 6. The mean smoking amount in group 6 was 23.2± 16.7 pack-years (heavy smokers). This finding suggests that high smoking amounts are linked to an increased risk of gastric cancer even in former smokers. Although never smoking is most effective at preventing gastric cancer, it is necessary to encourage smokers who are not ready to quit smoking to reduce their smoking amount.
The merits of the present study include reliable nationwide data, including serial evaluations for smoking status and diagnosis of gastric cancer based on ICD-10 codes. These advantages enabled us to quantify the risk of gastric cancer according to changes in smoking status and smoking amount.
Nonetheless, our study had several limitations. First, we could not identify Helicobacter pylori infection in our study participants because our data source did not contain information about H. pylori infection, which is a strong risk factor for gastric cancer. It has been reported that the adverse effect of H. pylori infection on gastric cancer can be exacerbated by smoking [23,24]. Butt et al. [6] demonstrated that an increased risk of gastric cancer in current smokers was only observed in individuals who were seropositive for H. pylori. Moreover, the prevalence of H. pylori infection is > 50% in Korean adults [25]. Therefore, the absence of data on H. pylori should be recognized as a major limitation in our study.
Second, the assessment of smoking status and amount was dependent on a self-reported questionnaire. Although the validity and reliability of the NHID have been confirmed in studies, recall bias is possible.
Third, there were no data for the location or histology of the gastric cancers in our study. Studies have shown heterogeneous results about whether smoking is primarily associated with cardia gastric cancer or with non-cardia gastric cancer [6-10]. However, information on the location of the gastric cancers in our data was not available.
In conclusion, current smoking was associated with an increased risk of gastric cancer, regardless of previous smoking status. Although former smoking was not associated with an increased risk of gastric cancer, former smokers with a history of heavy smoking had an increased risk of gastric cancer. These results suggest that smoking cessation and reducing smoking amounts are both important factors in reducing the risk of gastric cancer.

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare for this study.

FUNDING

This work was supported by the National Research Foundation of Korea in 2020 (grant No. 2020R1G1A1102257).

AUTHOR CONTRIBUTIONS

Conceptualization: Ryoo JH, Park SK. Data curation: Ryoo JH, Kim MH, Ha E. Formal analysis: Ryoo JH, Kim MH, Yang EH. Funding acquisition: Ryoo JH. Methodology: Ryoo JH, Oh CM. Project administration: Yang EH, Oh CM, You AH. Visualization: Yang EH, Oh CM, Hwang WY. Writing – original draft: Park SK, Kim MH, Oh CM. Writing – review & editing: Ryoo JH, Park SK, Kim MH, Ha E, Yang EH, Hwang WY, You AH.

We used the National Health Insurance Service–National Sample Cohort database, and the dataset was obtained from the National Health Insurance Service. Our study findings were not directly related to the National Health Insurance Service.
The funding organization had no role in the design or conduct of this research.
epih-44-e2022086f1.jpg
Table 1.
Baseline characteristics of participants according to changes in smoking status (n=97,700)
Characteristics Overall Smoking status changes (from 2003-2004 to 2009)
p-value1
2003-2004
Never (n=46,996, 48.10%)
Quit (n=12,849, 13.15%)
Current (n=37,855, 38.75%)
2009 Never group 1 Quit group 2 Current group 3 Quit group 4 Current group 5 Quit group 6 Current group 7
Total (n) 29,117 13,863 4,016 10,525 2,324 10,226 27,629
Proportion (%) 29.80 14.19 4.11 10.77 2.38 10.47 28.28
Person-years (total) 423,288.7 126,629.6 60,057.6 17,300.8 45,734.4 10,018.9 44,357.5 119,189.9
Person-years (average) 4.33±0.53 4.35±0.53 4.33±0.55 4.31±0.58 4.35±0.47 4.31±0.55 4.34±0.51 4.31±0.55 <0.001
Age (yr) 57.2±8.5 59.0±9.2 58.9±9.0 56.2±8.1 56.2±7.9 55.2±7.7 56.0±7.6 55.6±7.6 <0.001
BMI (kg/m2) 24.0±2.7 24.1±2.8 24.3±2.7 23.7±2.8 24.3±2.6 24.0±2.8 24.4±2.7 23.6±2.8 <0.001
Systolic BP (mmHg) 126.3±14.6 127.0±14.8 127.0±14.3 124.5±14.5 126.3±14.0 124.8±14.5 126.7±14.3 125.4±14.8 <0.001
Diastolic BP (mmHg) 78.8±9.7 79.0±9.9 78.9±9.6 78.1±9.7 79.0±9.5 78.5±9.7 79.3±9.6 78.5±9.8 <0.001
Fasting blood glucose (mg/dL) 102.9±27.0 102.0±25.7 102.9±25.0 102.9±28.9 102.8±24.2 102.9±28.2 104.9±28.4 103.2±29.3 <0.001
Total cholesterol (mg/dL) 195.9±36.5 193.3±35.4 194.8±36.4 197.1±36.7 196.7±35.5 197.4±38.5 199.0±37.3 197.7±37.1 <0.001
Triglyceride (mg/dL) 126 (88-184) 114 (80-166) 121 (85-175) 135 (94-199) 122 (86-177) 133 (92-197) 134 (93-196) 139 (96-202) <0.001
HDL cholesterol (mg/dL) 52.9±28.3 53.5±30.9 53.0±27.5 52.4±30.4 53.1±23.7 51.4±22.0 53.0±25.9 52.4±28.3 <0.001
LDL cholesterol (mg/dL) 114.2±37.8 114.1±36.3 114.0±37.3 113.8±38.2 115.3±33.1 114.4±35.2 115.4±40.7 113.3±40.1 <0.001
AST (U/L) 25 (21-30) 25 (21-30) 25 (21-30) 24 (20-30) 25 (21-30) 24 (20-30) 25 (21-31) 24 (20-30) <0.001
ALT (U/L) 23 (18-32) 23 (18-31) 23 (18-32) 23 (17-32) 23 (18-32) 23 (17-32) 24 (18-34) 23 (17-32) <0.001
GGT (U/L) 33 (22-54) 28 (20-45) 30 (21-49) 35 (23-58) 32 (22-50) 36 (24-60) 37 (24-61) 38 (25-65) <0.001
SCr (mg/dL) 1.00 (0.90-1.10) 1.00 (0.89-1.09) 1.00 (0.90-1.20) 1.00 (0.90-1.10) 1.00 (0.90-1.20) 1.00 (0.90-1.10) 1.00 (0.90-1.10) 1.00 (0.90-1.10) <0.001
eGFR (mL/min per 1.73 m2) 79.9±21.2 79.3±20.3 78.3±20.8 81.9±19.8 77.8±23.9 80.3±22.9 79.5±21.8 81.9±20.9 <0.001
Smoking amount (pack years)2 15.0±16.2 0.0±0.0 15.7±14.8 21.6±15.2 17.4±14.1 19.8±14.3 23.2±16.7 25.2±14.7 <0.001
Never smoker 29,117 (29.8) (100) 0 (0.00) 0 (0.00) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) <0.001
Light smoker 20,016 (20.5) 0 (0.0) 6,834 (49.3) 1,111 (27.7) 4,293 (40.8) 753 (32.4) 2,611 (25.5) 4,414 (16.0)
Moderate smoker 20,046 (20.5) 0 (0.0) 3,837 (27.7) 1,122 (27.9) 3,406 (32.4) 641 (27.6) 2,987 (29.2) 8,053 (29.1)
Heavy smoker 28,521 (29.2) 0 (0.0) 3,192 (23.0) 1,783 (44.4) 2,826 (26.8) 930 (40.0) 4,628 (45.3) 15,162 (54.9)
Alcohol intake 23,354 (24.1) 4,297 (14.9) 3,148 (22.9) 1,152 (28.9) 2,630 (25.2) 692 (30.0) 2,700 (26.6) 8,735 (31.8) <0.001
Physical activity 17,713 (18.5) 5,587 (19.5) 3,074 (22.5) 593 (15.0) 2,234 (21.7) 360 (15.8) 2,007 (20.1) 3,858 (14.2) <0.001
Incident gastric cancer 1,119 (1.1) 311 (1.1) 159 (1.1) 49 (1.2) 100 (0.9) 29 (1.2) 115 (1.1) 356 (1.3) 0.036

Values are presented as mean±standard deviation, medians (interquartile range), or number (%).

BMI, body mass index; BP, blood pressure; HDL, high-density lipoprotein; LDL, low-density lipoprotein; AST, aspartate aminotransferase; ALT, alanine aminotransferase; GGT, gamma-glutamyl transferase; SCr, serum creatinine; eGFR, estimated glomerular filtration rate.

1 By the analysis of variance test for continuous variables and the chi-square test for categorical variables.

2 Light smoker: 0-10 pack years, moderate smoker: >10 pack years and ≤20 pack years, heavy smoker: >20 pack years.

Table 2.
Hazard ratios (HRs) and 95% confidence intervals (CI) for incident gastric cancer according to changes in smoking status
Group 2003-2004 2009 Person-yr Incident cases Incidence density (per 10,000 person-yr) HR (95% CI)
Unadjusted Multivariate adjusted1
Group 1 Never Never 126,629.6 311 24.5 1.000 (reference) 1.000 (reference)
Group 2 Never Quit 60,057.6 159 26.5 1.078 (0.891, 1.305) 1.077 (0.887. 1.306)
Group 3 Never Current 17,300.8 49 28.3 1.153 (0.853, 1.558) 1.347 (0.983, 1.846)
Group 4 Quit Quit 45,734.4 100 21.9 0.891 (0.711, 1.116) 1.086 (0.863, 1.366)
Group 5 Quit Current 10,018.9 29 28.9 1.179 (0.806, 1.725) 1.538 (1.042, 2.269)
Group 6 Current Quit 44,357.5 115 25.9 1.056 (0.853, 1.308) 1.339 (1.077, 1.666)
Group 7 Current Current 119,189.9 356 29.9 1.217 (1.045, 1.416) 1.589 (1.355, 1.864)

1 The multivariate-adjusted model was adjusted for age, body mass index, systolic blood pressure, fasting blood glucose level, total cholesterol level, alcohol intake, and physical activity.

Table 3.
Hazard ratios (HRs) and 95% confidence intervals (CIs) for the incidence of gastric cancer according to 4 baseline levels of smoking amount in 2009
Variables Person-yr Incident cases Incidence density (per 10,000 person-yr) HR (95% CI)
Unadjusted Multivariate adjusted1
Smoking amount (pack years)
 Never smoker 126,629.6 311 24.5 1.000 (reference) 1.000 (reference)
 Light smoker (0-10) 86,668.4 199 23.0 0.936 (0.783, 1.118) 1.191 (0.992, 1.430)
 Moderate smoker (10-20) 86,842.9 219 25.2 1.027 (0.864, 1.221) 1.298 (1.085, 1.551)
 Heavy smoker (>20) 123,147.8 390 31.7 1.289 (1.111, 1.496) 1.410 (1.210, 1.644)
 p for trend <0.001 <0.001

1 The multivariate-adjusted model was adjusted for age, body mass index, systolic blood pressure, fasting blood glucose level, total cholesterol level, alcohol intake, and physical activity.

  • 1. Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, et al. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer 2019;144:1941-1953.ArticlePubMedPDF
  • 2. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394-424.ArticlePubMedPDF
  • 3. Gunter R, Szeto E, Jeong SH, Suh S, Waters AJ. Cigarette smoking in South Korea: a narrative review. Korean J Fam Med 2020;41:3-13.ArticlePubMedPMCPDF
  • 4. Sasazuki S, Sasaki S, Tsugane S; Japan Public Health Center Study Group. Cigarette smoking, alcohol consumption and subsequent gastric cancer risk by subsite and histologic type. Int J Cancer 2002;101:560-566.ArticlePubMed
  • 5. IARC Working Group on the Evaluation of Risks to Humans. Tobacco smoke and involuntary smoking. IARC Monogr Eval Carcinog Risks Hum 2004;83:1-1438.PubMedPMC
  • 6. Butt J, Varga MG, Wang T, Tsugane S, Shimazu T, Zheng W, et al. Smoking, Helicobacter pylori serology, and gastric cancer risk in prospective studies from China, Japan, and Korea. Cancer Prev Res (Phila) 2019;12:667-674.ArticlePubMedPMCPDF
  • 7. Tramacere I, La Vecchia C, Negri E. Tobacco smoking and esophageal and gastric cardia adenocarcinoma: a meta-analysis. Epidemiology 2011;22:344-349.PubMed
  • 8. Nomura AM, Wilkens LR, Henderson BE, Epplein M, Kolonel LN. The association of cigarette smoking with gastric cancer: the multiethnic cohort study. Cancer Causes Control 2012;23:51-58.ArticlePubMedPMCPDF
  • 9. Gonzra AM, Wilkens LR, Henderson BE, Epprogh V, Vineis P, Tumino R, et al. Smoking and the risk of gastric cancer in the European Prospective Investigation Into Cancer and Nutrition (EPIC). Int J Cancer 2003;107:629-634.ArticlePubMed
  • 10. Praud D, Rota M, Pelucchi C, Bertuccio P, Rosso T, Galeone C, et al. Cigarette smoking and gastric cancer in the Stomach Cancer Pooling (StoP) Project. Eur J Cancer Prev 2018;27:124-133.ArticlePubMed
  • 11. Lee J, Lee JS, Park SH, Shin SA, Kim K. Cohort profile: the National Health Insurance Service-National Sample Cohort (NHISNSC), South Korea. Int J Epidemiol 2017;46:e15.ArticlePubMed
  • 12. La Torre G, Chiaradia G, Gianfagna F, De Lauretis A, Boccia S, Mannocci A, et al. Smoking status and gastric cancer risk: an updated meta-analysis of case-control studies published in the past ten years. Tumori 2009;95:13-22.ArticlePubMedPDF
  • 13. Ladeiras-Lopes R, Pereira AK, Nogueira A, Pinheiro-Torres T, Pinto I, Santos-Pereira R, et al. Smoking and gastric cancer: systematic review and meta-analysis of cohort studies. Cancer Causes Control 2008;19:689-701.ArticlePubMedPDF
  • 14. Li W, Zhou J, Chen L, Luo Z, Zhao Y. Lysyl oxidase, a critical intraand extra-cellular target in the lung for cigarette smoke pathogenesis. Int J Environ Res Public Health 2011;8:161-184.ArticlePubMedPMC
  • 15. Zhang L, Ren JW, Wong CC, Wu WK, Ren SX, Shen J, et al. Effects of cigarette smoke and its active components on ulcer formation and healing in the gastrointestinal mucosa. Curr Med Chem 2012;19:63-69.ArticlePubMed
  • 16. Shin VY, Cho CH. Nicotine and gastric cancer. Alcohol 2005;35:259-264.ArticlePubMed
  • 17. Schuller HM. Is cancer triggered by altered signalling of nicotinic acetylcholine receptors? Nat Rev Cancer 2009;9:195-205.ArticlePubMedPDF
  • 18. Wong HP, Yu L, Lam EK, Tai EK, Wu WK, Cho CH. Nicotine promotes cell proliferation via alpha7-nicotinic acetylcholine receptor and catecholamine-synthesizing enzymes-mediated pathway in human colon adenocarcinoma HT-29 cells. Toxicol Appl Pharmacol 2007;221:261-267.PubMed
  • 19. Himmelstein MW, Boogaard PJ, Cadet J, Farmer PB, Kim JH, Martin EA, et al. Creating context for the use of DNA adduct data in cancer risk assessment: II. Overview of methods of identification and quantitation of DNA damage. Crit Rev Toxicol 2009;39:679-694.ArticlePubMed
  • 20. Dyke GW, Craven JL, Hall R, Garner RC. Smoking-related DNA adducts in human gastric cancers. Int J Cancer 1992;52:847-850.ArticlePubMed
  • 21. Mirvish SS. Role of N-nitroso compounds (NOC) and N-nitrosation in etiology of gastric, esophageal, nasopharyngeal and bladder cancer and contribution to cancer of known exposures to NOC. Cancer Lett 1995;93:17-48.ArticlePubMed
  • 22. Kneller RW, You WC, Chang YS, Liu WD, Zhang L, Zhao L, et al. Cigarette smoking and other risk factors for progression of precancerous stomach lesions. J Natl Cancer Inst 1992;84:1261-1266.ArticlePubMed
  • 23. Bagaitkar J, Demuth DR, Scott DA. Tobacco use increases susceptibility to bacterial infection. Tob Induc Dis 2008;4:12.ArticlePubMedPMC
  • 24. Wang H, Kumar A, Lamont RJ, Scott DA. GSK3use increases susceptibility to bacterial diseases. Trends Microbiol 2014;22:208-217.PubMedPMC
  • 25. Lim SH, Kwon JW, Kim N, Kim GH, Kang JM, Park MJ, et al. Prevalence and risk factors of Helicobacter pylori infection in Korea: nationwide multicenter study over 13 years. BMC Gastroenterol 2013;13:104.ArticlePubMedPMCPDF

Figure & Data

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    The risk of gastric cancer according to changes in smoking status among Korean men
    Image
    Graphical abstract
    The risk of gastric cancer according to changes in smoking status among Korean men
    Characteristics Overall Smoking status changes (from 2003-2004 to 2009)
    p-value1
    2003-2004
    Never (n=46,996, 48.10%)
    Quit (n=12,849, 13.15%)
    Current (n=37,855, 38.75%)
    2009 Never group 1 Quit group 2 Current group 3 Quit group 4 Current group 5 Quit group 6 Current group 7
    Total (n) 29,117 13,863 4,016 10,525 2,324 10,226 27,629
    Proportion (%) 29.80 14.19 4.11 10.77 2.38 10.47 28.28
    Person-years (total) 423,288.7 126,629.6 60,057.6 17,300.8 45,734.4 10,018.9 44,357.5 119,189.9
    Person-years (average) 4.33±0.53 4.35±0.53 4.33±0.55 4.31±0.58 4.35±0.47 4.31±0.55 4.34±0.51 4.31±0.55 <0.001
    Age (yr) 57.2±8.5 59.0±9.2 58.9±9.0 56.2±8.1 56.2±7.9 55.2±7.7 56.0±7.6 55.6±7.6 <0.001
    BMI (kg/m2) 24.0±2.7 24.1±2.8 24.3±2.7 23.7±2.8 24.3±2.6 24.0±2.8 24.4±2.7 23.6±2.8 <0.001
    Systolic BP (mmHg) 126.3±14.6 127.0±14.8 127.0±14.3 124.5±14.5 126.3±14.0 124.8±14.5 126.7±14.3 125.4±14.8 <0.001
    Diastolic BP (mmHg) 78.8±9.7 79.0±9.9 78.9±9.6 78.1±9.7 79.0±9.5 78.5±9.7 79.3±9.6 78.5±9.8 <0.001
    Fasting blood glucose (mg/dL) 102.9±27.0 102.0±25.7 102.9±25.0 102.9±28.9 102.8±24.2 102.9±28.2 104.9±28.4 103.2±29.3 <0.001
    Total cholesterol (mg/dL) 195.9±36.5 193.3±35.4 194.8±36.4 197.1±36.7 196.7±35.5 197.4±38.5 199.0±37.3 197.7±37.1 <0.001
    Triglyceride (mg/dL) 126 (88-184) 114 (80-166) 121 (85-175) 135 (94-199) 122 (86-177) 133 (92-197) 134 (93-196) 139 (96-202) <0.001
    HDL cholesterol (mg/dL) 52.9±28.3 53.5±30.9 53.0±27.5 52.4±30.4 53.1±23.7 51.4±22.0 53.0±25.9 52.4±28.3 <0.001
    LDL cholesterol (mg/dL) 114.2±37.8 114.1±36.3 114.0±37.3 113.8±38.2 115.3±33.1 114.4±35.2 115.4±40.7 113.3±40.1 <0.001
    AST (U/L) 25 (21-30) 25 (21-30) 25 (21-30) 24 (20-30) 25 (21-30) 24 (20-30) 25 (21-31) 24 (20-30) <0.001
    ALT (U/L) 23 (18-32) 23 (18-31) 23 (18-32) 23 (17-32) 23 (18-32) 23 (17-32) 24 (18-34) 23 (17-32) <0.001
    GGT (U/L) 33 (22-54) 28 (20-45) 30 (21-49) 35 (23-58) 32 (22-50) 36 (24-60) 37 (24-61) 38 (25-65) <0.001
    SCr (mg/dL) 1.00 (0.90-1.10) 1.00 (0.89-1.09) 1.00 (0.90-1.20) 1.00 (0.90-1.10) 1.00 (0.90-1.20) 1.00 (0.90-1.10) 1.00 (0.90-1.10) 1.00 (0.90-1.10) <0.001
    eGFR (mL/min per 1.73 m2) 79.9±21.2 79.3±20.3 78.3±20.8 81.9±19.8 77.8±23.9 80.3±22.9 79.5±21.8 81.9±20.9 <0.001
    Smoking amount (pack years)2 15.0±16.2 0.0±0.0 15.7±14.8 21.6±15.2 17.4±14.1 19.8±14.3 23.2±16.7 25.2±14.7 <0.001
    Never smoker 29,117 (29.8) (100) 0 (0.00) 0 (0.00) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) <0.001
    Light smoker 20,016 (20.5) 0 (0.0) 6,834 (49.3) 1,111 (27.7) 4,293 (40.8) 753 (32.4) 2,611 (25.5) 4,414 (16.0)
    Moderate smoker 20,046 (20.5) 0 (0.0) 3,837 (27.7) 1,122 (27.9) 3,406 (32.4) 641 (27.6) 2,987 (29.2) 8,053 (29.1)
    Heavy smoker 28,521 (29.2) 0 (0.0) 3,192 (23.0) 1,783 (44.4) 2,826 (26.8) 930 (40.0) 4,628 (45.3) 15,162 (54.9)
    Alcohol intake 23,354 (24.1) 4,297 (14.9) 3,148 (22.9) 1,152 (28.9) 2,630 (25.2) 692 (30.0) 2,700 (26.6) 8,735 (31.8) <0.001
    Physical activity 17,713 (18.5) 5,587 (19.5) 3,074 (22.5) 593 (15.0) 2,234 (21.7) 360 (15.8) 2,007 (20.1) 3,858 (14.2) <0.001
    Incident gastric cancer 1,119 (1.1) 311 (1.1) 159 (1.1) 49 (1.2) 100 (0.9) 29 (1.2) 115 (1.1) 356 (1.3) 0.036
    Group 2003-2004 2009 Person-yr Incident cases Incidence density (per 10,000 person-yr) HR (95% CI)
    Unadjusted Multivariate adjusted1
    Group 1 Never Never 126,629.6 311 24.5 1.000 (reference) 1.000 (reference)
    Group 2 Never Quit 60,057.6 159 26.5 1.078 (0.891, 1.305) 1.077 (0.887. 1.306)
    Group 3 Never Current 17,300.8 49 28.3 1.153 (0.853, 1.558) 1.347 (0.983, 1.846)
    Group 4 Quit Quit 45,734.4 100 21.9 0.891 (0.711, 1.116) 1.086 (0.863, 1.366)
    Group 5 Quit Current 10,018.9 29 28.9 1.179 (0.806, 1.725) 1.538 (1.042, 2.269)
    Group 6 Current Quit 44,357.5 115 25.9 1.056 (0.853, 1.308) 1.339 (1.077, 1.666)
    Group 7 Current Current 119,189.9 356 29.9 1.217 (1.045, 1.416) 1.589 (1.355, 1.864)
    Variables Person-yr Incident cases Incidence density (per 10,000 person-yr) HR (95% CI)
    Unadjusted Multivariate adjusted1
    Smoking amount (pack years)
     Never smoker 126,629.6 311 24.5 1.000 (reference) 1.000 (reference)
     Light smoker (0-10) 86,668.4 199 23.0 0.936 (0.783, 1.118) 1.191 (0.992, 1.430)
     Moderate smoker (10-20) 86,842.9 219 25.2 1.027 (0.864, 1.221) 1.298 (1.085, 1.551)
     Heavy smoker (>20) 123,147.8 390 31.7 1.289 (1.111, 1.496) 1.410 (1.210, 1.644)
     p for trend <0.001 <0.001
    Table 1. Baseline characteristics of participants according to changes in smoking status (n=97,700)

    Values are presented as mean±standard deviation, medians (interquartile range), or number (%).

    BMI, body mass index; BP, blood pressure; HDL, high-density lipoprotein; LDL, low-density lipoprotein; AST, aspartate aminotransferase; ALT, alanine aminotransferase; GGT, gamma-glutamyl transferase; SCr, serum creatinine; eGFR, estimated glomerular filtration rate.

    By the analysis of variance test for continuous variables and the chi-square test for categorical variables.

    Light smoker: 0-10 pack years, moderate smoker: >10 pack years and ≤20 pack years, heavy smoker: >20 pack years.

    Table 2. Hazard ratios (HRs) and 95% confidence intervals (CI) for incident gastric cancer according to changes in smoking status

    The multivariate-adjusted model was adjusted for age, body mass index, systolic blood pressure, fasting blood glucose level, total cholesterol level, alcohol intake, and physical activity.

    Table 3. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the incidence of gastric cancer according to 4 baseline levels of smoking amount in 2009

    The multivariate-adjusted model was adjusted for age, body mass index, systolic blood pressure, fasting blood glucose level, total cholesterol level, alcohol intake, and physical activity.


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