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Background: Determining the effect of dietary factors on cancer is a crucial issue when accounting for the effect of other major risks, such as smoking and drinking., Method: A total of 15,563 adults from the Korean National Cancer Center Community Cohort were analyzed to determine and to compare the effect of dietary factors on stomach and colorectal cancer in overall and in the subgroup of non-smokers (or urinary cotinine concentrations <5 ng/mg) and non-drinkers with Cox proportional-hazard models., Results: During the mean follow-up (13.7 years), 469 and 299 cases of stomach and colorectal cancer were identified, respectively. The preventive effect of vegetable, fish, and soybean/tofu intake on colorectal cancer was found in women after adjustment for smoking, drinking, BMI, and sociodemographic factors. In the subgroup analysis of non-smokers and non-drinkers, the effect on colorectal cancer was increased in women (≥1 time/week vs. almost never, vegetables: hazard ratio (HR) 0.30, 95% confidence interval (CI) 0.13-0.69; fish: HR 0.46, 95% CI 0.26-0.83), and the fresh fish intake effect on stomach cancer was newly identified in men (HR 0.36, 95% CI 0.15-0.86). These effects were more pronounced and additionally shown in other dietary factors such as soybean or tofu in women and vegetables and fish in men, when subjects with <5 ng/mg urinary cotinine concentrations applied., Conclusion: The protective effect of healthy eating on the risk of stomach and colorectal cancer were different by smoking and drinking status. Rigorous control of smoking and drinking effects is necessary when measuring the effect of dietary factors on cancer, properly., (© 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.)

Introduction: Raising the price of cigarettes is one of the most effective strategies to reduce cigarette smoking. The Vietnamese government is working toward the tobacco control goal of a 10% reduction in smoking prevalence by 2020. However, cigarette prices in Vietnam have not increased in the last two decades. The aim of this study was to estimate what cigarette prices would make smokers attempt to quit smoking, and to identify predictors of the price to quit and the intention to quit., Methods: A cross-sectional survey was conducted with 822 male current smokers in Da Nang, Vietnam. A structured questionnaire was adapted from the International Tobacco Control project survey. Bayesian quantile regression was applied to predict factors associated with expected cigarette price., Results: Fifty-six percent of smokers suggested a price to quit. Their median suggested price to quit per pack, 62 000 VND (2.8 USD), was 2.8 times higher than the actual current price, 22 000 VND (1.01 USD). Suggesting a lower price to quit was significantly associated with awareness of warning labels and smoke-free policies. In contrast, being a heavy smoker was significantly associated with a higher suggested price to quit across all quantiles., Conclusions: There may be sufficient room to increase cigarette prices in Vietnam. The price to quit is associated with various factors, including non-pricing policies., Implications: Evidence suggests that a steep increase in cigarette prices, setting a high minimum tax, and introducing a large specific tax, which are policy-induced price increases that can raise prices substantially in Vietnam, are preferable strategies. In addition to increasing price and taxes, the government should also strengthen non-pricing policies., (© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

We analyzed data from the Korean Youth Risk Behavior Web-based Survey (N = 68 043), a nationally representative survey, to examine the association between early initiation of smoking, alcohol drinking, and sexual activity and socioeconomic determinants among adolescents. The prevalence rates of early initiation of smoking (i.e, starting at age 12 years or younger), alcohol drinking, and sexual activity were 4.8%, 10.3%, and 1.4%, respectively. Adolescents with a low level of perceived household income, low level of father's education, and those living without family were more likely to start these risky behaviors early. Early initiation of smoking was significantly affected by affordability.

Background: A considerable amount of research has shown that knowledge and appropriate awareness are essential for encouraging positive behaviors and promoting health. In Korea, the roles that behavioral changes play in the prevention of cancer have been an important issue since the introduction of the 10 codes for cancer prevention in 2006. Thus, the present study investigated the associations of tobacco-related knowledge with awareness and attitudes towards positive smoking-cessation behaviors., Methods: The present study analyzed data from the 2010 national questionnaire survey (n = 1,006). This study evaluated sociodemographic characteristics, smoking status, self-rated health status, health-related interests, and the accuracy of 12 tobacco-related statements to determine knowledge level and to investigate its impact on awareness and behaviors related to smoking. These parameters were examined and staged using the Precaution Adoption Process Model., Results: A higher level of tobacco-related knowledge was significantly associated with a positive attitude towards smoking cessation (5-8 correct answers: odds ratio [OR], 2.53; 95% confidence interval [CI], 1.57-4.08; ≥ 9 correct answers: OR, 3.90; 95% CI, 2.22-6.82; reference: ≤ 4 correct answers). Interestingly, among current smokers, only those who correctly responded to ≥ 9 of 12 tobacco-related statements were significantly associated with a positive attitude towards smoking cessation., Conclusion: This study found that having a higher level of tobacco-related knowledge had a significant impact on positive attitudes towards smoking cessation. This suggests that there is a need to disseminate appropriate knowledge to the general population to encourage positive attitudes and promote healthful behaviors in terms of smoking., Competing Interests: Disclosure: The authors have no potential conflicts of interest to disclose.

There is a growing body of evidence demonstrating an association between smoking and DNA methylation. Accordingly, DNA methylation is now considered a promising biomarker of smoking exposure. We evaluated the relationship between methylation markers (AHRR and F2RL3) and urine cotinine as well as self-reported smoking status. DNA methylation levels of AHRR and F2RL3 in blood as well as urine cotinine were measured in 330 adults (46 to 87 years of age). Pyrosequencing was performed to measure DNA methylation of AHRR and F2RL3 associated with smoking exposure. The lung cancer risk associated with DNA methylation and urine cotinine was analyzed using logistic regression analysis. The AHRR and F2RL3 genes were significantly hypomethylated in current smokers compared to in individuals who have never smoked. An inverse relationship was observed between urine cotinine and methylation levels. Methylation of AHRR and F2RL3 distinguished current smokers from never-smokers with high accuracy. Logistic multivariate analysis showed that AHRR methylation is significantly associated with the risk of lung cancer (OR = 0.96, P = 0.011). Our study validated the smoking-associated DNA methylation markers reported in a Korean population-based cohort. In conclusion, DNA methylation of AHRR and F2RL3 provided accurate measures for smoking exposure. Methylation markers reflecting the long-term effect of smoking on the risk of lung cancer showed better performance in distinguishing former smokers from never-smokers.

Purpose: The objective of this study was to measure secondhand smoke (SHS) exposure in personal computer (PC) rooms with the purpose of determining the strength of scientific evidence supporting the legislative ban on smoking in PC rooms located in the Republic of Korea., Materials and Methods: From June to September 2012, particulate matter (PM2.5) and air nicotine concentration (ANC) were measured in the smoking and non-smoking areas of PC rooms in Goyang City, Korea. In 28 randomly sampled PC rooms, field investigators completed an observational questionnaire on building characteristics, smoking policies, and evidence of smoking. The geometric means (GM) of PM2.5 and ANC in smoking and non-smoking areas were compared., Results: Evidence of smoking was identified in both the smoking and non-smoking areas of all PC rooms. The GMs of PM2.5 and ANC in both areas were high and did not differ significantly (174.77 μg/m(3) and 48.95 μg/m(3) in smoking areas; 93.38 μg/m(3) and 41.30 μg/m(3) in non-smoking areas). Overall PM2.5 concentrations were 5.5-fold higher than those listed in the World Health Organization guidelines., Conclusion: This study supported previous reports that a partial smoking ban did not protect individuals from SHS exposure. Furthermore, the results from our study suggest how research can support policy. Countries in which smoke-free policies are not yet comprehensive may find our results useful.

Objective: We assessed the extent to which self-reported exposure to SHS underestimates the actual exposure to SHS and what factors are associated with a tolerance for SHS exposure in the Korean setting where the smoke-free policy is incomplete., Methods: Information on socio-demographic characteristics, alcohol drinking and smoking was collected for 7948 nonsmokers aged ≥ 19 years from the fourth Korea National Health and Nutrition Examination Survey, 2008-2009. Self-reported and cotinine verified SHS exposures were compared. Potential factors associated with cotinine verified but not self-reported SHS exposures were assessed using a logistic regression model., Results: Self-reported SHS exposure significantly underestimated the actual SHS exposure as determined by cotinine verification (kappa coefficient: 0.1066). At younger age, frequent alcohol drinking in females and a longer smoking duration in males were positively associated with cotinine verified exposure but not with the self-reported SHS exposure; they were also positively associated with cotinine verified exposure irrespective of self-reported SHS exposure., Conclusions: Our findings show a tolerance for smoking in Korea. The current partial ban on smoking does not fully protect people from exposure to SHS. Smoking should be banned in all public places. In addition, efforts to de-normalize smoking in the Korean culture need to be strengthened., (Copyright © 2014 Elsevier Inc. All rights reserved.)

East Asia is one of the world's largest tobacco epidemic regions. Although several international studies have evaluated the status of tobacco control in this region, the findings have not been integrated with knowledge on domestic activities at the national and municipal levels. We analysed the current tobacco control situation in three East Asian countries, Japan, China and the Republic of Korea, using both international and domestic data sources. We collected data between 2008 and 2011 in each country according to the framework of WHO's MPOWER (Monitoring, Protect, Offer, Warn, Enforcement and Raise) approach for guiding implementation of the WHO Framework Convention on Tobacco Control. Analysis revealed that 37-53% of adult men were current smokers and that smoking prevalence among middle-aged men reached 63%. Less than 20% of male smokers plan to quit and the use of nicotine replacement drugs was 14% at maximum. Forty-six percent or more of men and 20% or more of women were exposed to passive smoking at workplaces and at home, respectively. Many tobacco industry activities remain unrestricted and prevalent. Our findings indicate an urgent need for the following set of policies: raise cigarette prices to increase the quit attempt rate, particularly among adult men; develop a multi-component quitting assistance system to provide adequate assistance for smoking cessation; implement effective smoke-free policies in workplaces and public places to reduce exposure to passive smoking; and rebuild the administrative structure to denormalise tobacco industry activities. The importance of these standard approaches should be reaffirmed by all tobacco control policymakers in East Asia., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

Background: Environmental tobacco smoking (ETS) significantly contributes to morbidity and mortality and is a known risk factor for lung cancer development in lifelong nonsmokers. The metabolite 4-(methylnitrosamino)- 1-(3-pyridyl)-1-butanol (NNAL) and its glucuronides (NNAL-Glucs) have now emerged as leading biomarkers for the study of carcinogen exposure in non-smokers exposed to ETS., Materials and Methods: We carried out our study on NNAL in the urine of non-smokers exposed to ETS and the association between ETS and lung cancer. Subjects were enrolled from 2008-2010. NNAL was analyzed for 74 non-smoking lung cancer and 85 healthy controls. The main objective of this study was to provide an estimate of the risk of lung cancer from exposure to ETS in the Korean population., Results: The mean NNAL concentration in urine was significantly lower in non-smoking patient groups (n=74) than in control groups (n=85) (4.7±15.0 pg/mg, 6.5 ± 17.9 pg/mg, respectively, Mann-Whitney U test, p<0.001)., Conclusions: The urine NNAL of non-smoking patients with lung cancer was not elevated with regard to the non-smoking control group. This may be due to life-style changes after diagnosis. A prospective study will be needed to evaluate the association of NNAL and non-smoking lung cancer.

We investigated the independent and combined effects of alcohol consumption, cigarette smoking and metabolic syndrome on abnormal liver function, i.e., the elevation of serum liver enzyme levels. Participants of a Korean population-based prospective cohort aged ≥30 years without liver disease, diabetes, or cardiovascular diseases were included. Information on alcohol consumption, smoking status, and metabolic syndrome, defined as per the criteria of the Adult Treatment Panel III, were applied to evaluate their impact on serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyl transferase (GGT). Alcohol consumption, cigarette smoking and metabolic syndrome were the significant individual factors that elevated serum liver enzyme levels. Supra-additive effects of metabolic syndrome and either alcohol consumption or cigarette smoking were also identified. The combination of heavy drinking (≥24 g/day) and metabolic syndrome conferred an effect that was higher than the sum of the two individual effects (Synergic Index (SI): AST, 2.37 [1.20-4.67]; GGT, 1.91 [1.17-3.13]). Only GGT level (odds ratio 6.04 [3.68-9.94], SI 2.33 [1.24-4.41]) was significantly elevated when the effect of moderate drinking (<24 g/day) and metabolic syndrome was combined. The combined effect of any level of alcohol consumption and cigarette smoking was also supra-additive on the elevation of GGT level with SIs of 5.57 for drinking <24 g/day and smoking ≤20 pack years, 5.12 for <24 g/day and >20 pack years, 1.80 for ≥24 g/day and ≤20 pack years, 2.03 for ≥24 g/day and >20 pack years, while only the combined effect of drinking ≥24 g/day and smoking >20 pack years elevated the AST level (SI 4.55 [3.12-6.61]). The combined effect of cigarette smoking and metabolic syndrome was not supra-additive. To prevent fatty liver disease and other related diseases, a multifactorial prevention strategy that includes limited alcohol consumption, smoking cessation and rectification of adverse metabolic profiles is required.

Background: This study examined the influence of body mass index (BMI), subjective body perception (SBP), and the differences between BMI and SBP influence on smoking among women., Methods: This study used the Korea National Health and Nutrition Examination Survey IV-2, 3 2008-2009. A urinary cotinine test was administered to 5485 women at least 19 years of age. Individuals whose cotinine level was at least 50 ng/mL were categorized as smokers. A multiple logistic regression analysis was performed to estimate the extent to which body-related variables affect female smoking., Results: Women with a lower BMI who perceived themselves to be normal or very fat were 2.09 times (1.14-3.83) more likely to smoke than women with a normal BMI and SBP. Women who were never married with a low BMI and thin SBP were 3.11 times (1.47-6.55) more likely to smoke than women with a normal BMI and SBP. Married women with a high BMI who considered themselves very fat were 0.63 times (0.43-0.94) less likely to smoke than women with a normal BMI and SBP. In contrast, divorced and widowed women with a low or normal BMI who considered themselves very fat were 26.1 times (1.35-507.3) more likely to smoke., Conclusions: Discrepancies between the objective physical condition (BMI) and the subjective body image (SBP) influence the female smoking rate. To reduce the number of female smokers, public education on the association between smoking behavior and weight issues is needed, especially among women with low BMI and distorted weight perception.

Background: Although the number of studies on anti-smoking interventions has increased, studies focused on identifying social contextual factors in rural areas are scarce. The purpose of this study was to explore the role of social support and social networks in smoking behavior among middle and older aged people living in rural areas of South Korea., Methods: The study employed a cross-sectional design. Participants included 1,057 adults, with a mean age of 60.7 years, residing in rural areas. Information on participants' tobacco use, stress, social support, and social networks was collected using structured questionnaires. The chi-square test, the t-test, ANOVA, and logistic regression were used for data analysis., Results: The overall smoking prevalence in the study was 17.4% (men, 38.8%; women, 5.1%). Overall, stress was high among women, and social support was high among men. Smokers had high levels of social support (t = -2.90, p = .0038) and social networks (t = -2.22, p = .0271), as compared to non- and former smokers. Those in the high social support group were likely to be smokers (AOR = 2.21, 95% CI 1.15-4.26). Women with moderate social ties were less likely to smoke (AOR = 0.18, 95% CI 0.05-0.61)., Conclusion: There was a protective role of a moderate social network level among women, and a high level of social support was associated with smoking behaviors in rural areas. Findings suggest the need for a comprehensive understanding of the functions and characteristics of social contextual factors including social support and social networks in order to conduct more effective anti-smoking interventions in rural areas.

Purpose: Smoking, obesity, and insulin resistance are well-known risk factors for cancer, yet few epidemiology studies evaluate their role as risk factors for a second primary cancer (SPC)., Patients and Methods: We identified 14,181 men with a first cancer from the National Health Insurance Corporation Study cohort. We obtained data on fasting glucose level, body mass index (BMI), and smoking history from an enrollment interview (1996). We obtained SPC incidence data for 1996 through 2002 from the Korean Central Cancer Registry. We used the standard Poisson regression model to estimate the age- and multivariate-adjusted relative risk (RR) for SPCs in relation to smoking history, BMI, and insulin resistance before diagnosis., Results: We observed 204 patients with SPC. The overall age-standardized incidence rate of SPC was 603.2 occurrences per 100,000 person-years, which was about 2.3 times higher than that of first cancer in the general male population. Multivariate regression revealed that lung (RR, 3.69; 95% CI, 1.35 to 10.09) and smoking-related (RR, 2.02; 95% CI, 1.02 to 4.03) SPCs were significantly associated with smoking. Obese patients (BMI > or = 25 kg/m2) had significantly elevated RRs for colorectal (RR, 3.45; 95% CI, 1.50 to 7.93) and genitourinary (RR, 3.61; 95% CI, 1.36 to 9.54) SPCs. Patients with a fasting serum glucose concentration > or = 126 mg/dL had a higher RR for hepatopancreatobiliary (RR, 3.33; 95% CI, 1.33 to 8.37) and smoking-related (1.93; 95% CI, 1.01 to 3.68) SPCs., Conclusion: Prediagnosis smoking history, obesity, and insulin resistance were risk factors for several SPCs. These findings suggest that more thorough surveillance and screening for SPCs is needed for the cancer survivors with these risk factors.

Purpose: Although many studies have demonstrated that smoking, alcohol, obesity, and insulin resistance are risk factors for cancer, the role of those factors on cancer survival has been less studied., Patients and Methods: The study participants were 14,578 men with a first cancer derived from a cohort of 901,979 male government employees and teachers who participated in a national health examination program in 1996. We obtained mortality data for those years from the Korean Statistical Office. We used a standard Poisson regression model to estimate the hazard ratio (HR) for survival in relation to smoking, alcohol, obesity, and insulin resistance before diagnosis., Results: Poor survival of all cancer combined (HR, 1.24; 95% CI, 1.16 to 1.33), cancer of the lung (HR, 1.45; 95% CI, 1.15 to 1.82), and cancer of the liver (HR, 1.36; 95% CI, 1.21 to 1.53) were significantly associated with smoking. Compared with the nondrinker, heavy drinkers had worse outcomes for head and neck (HR, 1.85; 95% CI, 1.23 to 2.79) and liver (HR, 1.25; 95% CI, 1.11 to 1.41) cancer, with dose-dependent relationships. Patients with a fasting serum glucose level above 126 mg/dL had a higher mortality rate for stomach (HR, 1.52; 95% CI, 1.25 to 1.84) and lung (HR, 1.48; 95% CI, 1.18 to 1.87) cancer. Higher body mass index was significantly associated with longer survival in head and neck (HR, 0.54; 95% CI, 0.39 to 0.74) and esophagus (HR, 0.44; 95% CI, 0.28 to 0.68) cancer., Conclusion: Prediagnosis risk factors for cancer development (smoking, alcohol consumption, obesity, and insulin resistance) had a statistically significant effect on survival among male cancer patients.

Objectives: Most prospective cohort studies of lung cancer focus on the relative risk rather than the absolute risk of smoking., Methods: This prospective study included 437,976 Korean men (cohort for the National Health Insurance Cooperation Study), > or = 40 years old, who were free of cancer and smoking-related chronic disease at the time of enrollment. Based on new incidence cases, relative risk and excess risk, and their 95% confidence intervals (95% CI), were estimated with the standard Poisson regression model after adjustment for age or other demographic factors and other confounders., Results: During the 6-year follow-up period of 3,142,451 person-years, 1,357 new lung cancer cases were identified. Based on the multivariate-adjusted relative risk for current smokers, the strongest association with smoking was shown for small-cell lung cancer (relative risk, 21.7; 95% CI, 8.0-58.5) followed by squamous cell carcinoma (relative risk, 11.7; 95% CI, 7.1-19.4) and then adenocarcinoma (relative risk, 2.1; 95% CI, 1.6-2.7). In current smokers with > or = 40 pack-years of exposure, excess risk was highest for squamous cell carcinoma (excess risk, 33.8; 95% CI, 10.2-109.8) followed by adenocarcinoma (excess risk, 26.7; 95% CI, 10.3-64.4), and then small-cell carcinoma (excess risk, 16.3; 95% CI, 1.8-144.3)., Conclusions: In Korean men, cigarette smoking was as important a risk factor for adenocarcinoma as it was for squamous cell and small-cell lung cancer.

The purpose of this study was to compare 2.4-km running performance in 2,639 smoking (SM) and nonsmoking (NS) male conscripts aged 18 to 26 years. Maximum oxygen consumption (VO2max) and aerobic exercise endurance were also compared between SM and NS subjects (N = 156) stratified into various running performance bands. SM subjects ran significantly slower (10.59 +/- 1.17 minutes) than NS subjects (10.32 +/- 1.03 minutes) in the 2.4-km run test (p < 0.001). The mean VO2max of SM subjects (53.38 +/- 8.58 ml kg-1 min-1) was not significantly different from that of the NS subjects (54.42 +/- 7.82 ml kg-1 min-1) (p > 0.05). Exercise endurance time on the treadmill protocol (EXtm) was significantly longer in the NS group only among those who completed the 2.4-km run in < 9.01 minutes (p < 0.05). Maximum minute ventilation (VEmax) was also significantly higher in the NS group in the < 9.01-minute performance band. No other significant differences were found between SM and NS subjects in EXtm and VEmax. Mean maximum heart rate achieved during the tread-mill test ranged from 180 +/- 4 to 191 +/- 12 beats per minute in the SM group and from 183 +/- 5 to 188 +/- 19 beats per minute in the NS group. These were not significantly different (p > 0.05). In conclusion, smoking habit was shown to influence aerobic performance in the 2.4-km run, VEmax, and EXtm only during high-intensity aerobic exercise. VO2max was not influenced by smoking habit when aerobic performance was held constant.

The Singapore Armed Forces has, since 1986, established a comprehensive smoking control programme which combines health education, counselling and administrative measures aimed at discouraging non-smokers from smoking, and encouraging smokers to quit the habit. The prevalence of regular smoking decreased from 28.6% in 1987 to 20.7% in 1993. The latest, 1993 survey as in past surveys covered 3,545 respondents, made up of regulars (32.0%), NSF (62.2%) and NUSAF (5.6%). The 1993 survey revealed that the majority of smokers (88.9%) in the SAF who consist primarily of 18 to 20-year-olds, had started smoking before enlistment. Most acquired the habit on their own (49.8%) or through influences outside the SAF (40.3%). Very few smokers became smokers through the influence of fellow soldiers (4.9%). The majority (87.7%) of smokers readily agreed that smoking is harmful, but this is not translated into practice. Health education efforts need to focus more on bringing about positive attitudinal and behavioural changes, rather than merely give information and advice. The young age of smoking onset (mean age of 14.3 years) In the SAF population surveyed points to the need to focus preventive efforts further upstream than hitherto emphasised.