Observational Study Open Access
Copyright ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jul 28, 2018; 24(28): 3163-3170
Published online Jul 28, 2018. doi: 10.3748/wjg.v24.i28.3163
Health behaviors of Korean adults with hepatitis B: Findings of the 2016 Korean National Health and Nutrition Examination Survey
Yu-Hyeon Yi, Yun-Jin Kim, Young-Hye Cho, Jeong-Gyu Lee, Department of Family Medicine, Pusan National University School of Medicine, Yangsan-si 50612, South Korea
Yu-Hyeon Yi, Yun-Jin Kim, Byung-Mann Cho, Jeong-Gyu Lee, Medical Research Institute, Pusan National University Hospital, Busan 49241, South Korea
Yu-Hyeon Yi, Jeong-Gyu Lee, Busan Tobacco Control Center, Pusan National University Hospital, Busan 49241, South Korea
Sang-Yeoup Lee, Department of Medical Education, Pusan National University School of Medicine, Yangsan-si 50612, South Korea
Sang-Yeoup Lee, Young-Hye Cho, Family Medicine Clinic, Pusan National University Yangsan Hospital, Yangsan-si 50612, South Korea
Byung-Mann Cho, Department of Preventive Medicine and Occupational Medicine, Pusan National University School of Medicine, Yangsan-si 50612, South Korea
ORCID number: Yu-Hyeon Yi (0000-0002-1786-2737); Yun-Jin Kim (0000-0002-0204-3253); Sang-Yeoup Lee (0000-0002-3585-9910); Byung-Mann Cho (0000-0003-0893-3617); Young-Hye Cho (0000-0003-2176-6227); Jeong-Gyu Lee (0000-0001-7160-0714).
Author contributions: Yi YH, Kim YJ, Lee SY, Cho BM, Cho YH, Lee JG contributed to study conception and design; Yi YH and Lee JG contributed to data analysis and interpretation, and drafting of manuscript; Lee SY and Cho BM contributed data management; Yi YH, Kim YJ, Lee SY, Cho BM, Cho YH, Lee JG contributed to reviewing and final approval of article; Lee JG contributed to revising manuscript and finalizing submission.
Supported by two-year research Grant of Pusan National University.
Institutional review board statement: Our study design was approved by the Institutional Review Board of Pusan National University Hospital (approval ID: H-1805-017-067)
Conflict-of-interest statement: All authors have no conflict of interest to disclose.
STROBE statement: The authors have read the STROBE Statement checklist of items, and the manuscript was prepared and revised according to the STROBE Statement checklist of items.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Jeong-Gyu Lee, MD, PhD, Associate Professor, Department of Family Medicine, Pusan National University School of Medicine, Yangsan-si 50612, South Korea. jeklee@pnu.edu
Telephone: +82-51-2407834 Fax: +82-51-2407843
Received: May 28, 2018
Peer-review started: May 28, 2018
First decision: June 15, 2018
Revised: June 20, 2018
Accepted: June 28, 2018
Article in press: June 28, 2018
Published online: July 28, 2018
Processing time: 60 Days and 3.5 Hours

Abstract
AIM

To assess the frequencies of five health-related behaviors (smoking, alcohol consumption, body weight, sleep duration, and physical activity) in Korean adults with chronic hepatitis B.

METHODS

Data were obtained from the 2016 Korean National Health and Nutrition Examination Survey. In total, 5887 subjects (2568 males, 3319 females) over 19 years old were enrolled in this study. Interviews were performed to obtain information on demographic characteristics and medical conditions. A selfadministered questionnaire and medical examination were used to assess the smoking history, alcohol use, physical activity, sleep duration, and body weight of the subjects. Chronic hepatitis B was diagnosed based on detection of hepatitis B surface antigen (HBsAg). The subjects were categorized into HBsAg positive and negative groups, and a complex sampling analysis was conducted to compare the health behaviors between these groups.

RESULTS

Among males, the current smoking rate in the HBsAg positive group was higher than that in the negative group (45.5% vs 38.5%). In the positive group, the rates of monthly and high-risk alcohol use were 70.4% and 17.6% in males and 45.9% and 3.8% in females, respectively. The rate of alcohol use was similar between the two groups [P = 0.455 (males) and P = 0.476 (females)]. In the HBsAg positive group, 32.3% and 49.9% of males and 26.5% and 49.6% of females were overweight and physically inactive, respectively. High-risk alcohol consumption and physical inactivity were significantly associated with self-perceived health status.

CONCLUSION

Our data demonstrate that a large proportion of Korean adults with chronic hepatitis B have poor health behaviors. Further studies are needed to confirm our results.

Key Words: Health behavior; Selfperceived health status; Hepatitis; Health risk behavior; Health status

Core tip: A large proportion of Korean adults with chronic hepatitis B have poor health behaviors, particularly in terms of smoking and alcohol consumption. High-risk alcohol consumption and physical inactivity are significantly associated with selfperceived health status. Because it is a risk factor for hepatocellular carcinoma, individuals with chronic hepatitis B should maintain a healthy lifestyle. They should be encouraged to improve their health behaviors and participate in appropriate education programs.



INTRODUCTION

Hepatitis B is an important public health issue in the Asia-Pacific region. It is estimated that 240 million people are infected with hepatitis B virus (HBV)[1]. Chronic HBV infection may cause premature death from uncompensated liver cirrhosis and hepatocellular carcinoma (HCC). Primary liver cancer is the second leading cause of cancer-related mortality[2]. Chronic HBV infection, cirrhosis, and hepatitis C viral infection are established risk factors for HCC[2]. The modifiable risk factors for HCC include lifetime alcohol consumption[3,4], tobacco smoking[5], obesity[6], diabetes[6], nonalcoholic fatty liver disease[7], and socioeconomic status[3]. Indeed, lifetime moderate alcohol use may cause HCC in older people, and diabetes may increase the risk of HCC independently of cirrhosis[8,9].

Health-related behaviors such as tobacco smoking, alcohol consumption, body weight status, sleep duration, and physical activity are important for the management of chronic medical conditions[10,11]. Smoking, physical activity, and alcohol consumption are the most critical behavioral determinants of health[12]. Furthermore, health behaviors are important following the onset of disease, because they can reduce disease severity and risk of recurrence and increase survival duration[12]. Modification of health behaviors is a particularly important intervention for patients with chronic hepatitis B.

High-quality chronic-care systems that include preventive management of health behaviors are needed to improve the quality of life of patients with chronic conditions[13]. Subjective awareness of health status can be used to evaluate one’s own health and the prognosis of various chronic diseases[14]. To our knowledge, little is known about the relationships between health behaviors and subjective health status.

In this study, we evaluated the frequencies of five health-related behaviors (smoking, alcohol consumption, body weight, sleep duration, and physical activity) in Korean adults with hepatitis B. We also examined the association between these health behaviors and self-perceived health status.

MATERIALS AND METHODS
Data resources

Data were obtained from the 2016 Korean National Health and Nutrition Examination Survey (KNHANES). The KNHANES is a nationwide representative cross-sectional survey conducted by the Korea Center for Disease Control and Prevention (KCDC) beginning in 1998. The KNHANES is an ongoing survey that assesses the health status of Koreans and monitors the trends in health risk factors and the prevalence of major chronic diseases in Korea[15]. The KNHANES comprises a complex, stratified, multistage sample in which household units are selected according to geographic area, sex, and age group. Informed consent was obtained from all of the subjects. The 2016 KNHANES response rate was 72.2% for the interview and health examination. This study involved 5887 subjects (2568 males, 3319 females) over 19 years of age.

Measures

The interview and health examinations were performed by a trained interviewer and medical staff using calibrated equipment according to a standardized protocol. The interviewer collected demographic characteristics including housing characteristics, medical conditions, socioeconomic status, and education levels. The self-administered questionnaire included questions on smoking status, alcohol use, physical activity, sleep health, and weight control. The health examination was conducted in a mobile examination center and consisted of a physical examination, anthropometric measurements, and blood and urine laboratory tests. Height and weight were measured to the nearest 0.1 cm and 0.1 kg, respectively, using a standard protocol. Body mass index (BMI) was calculated as body weight (kg) divided by height in meters squared (m2). Waist circumference was measured at the end of a normal expiration of breath and to the nearest 0.1 cm. Blood pressure was measured using an automated blood pressure measurement device. Blood and urine samples were subsequently analyzed at a certified laboratory. The performance of this laboratory analysis was monitored by a laboratory data quality-control program to ensure that the data met the accuracy standard[15]. Hepatitis B surface antigen (HBsAg) levels were measured using Elecsys HBsAgII (Roche/Germany) electrochemiluminescence immunoassay (ELICA). Subjects were classified as HBsAg positive or negative (hereafter, the negative and positive groups) according to their serology results.

Definitions of health behaviors

Current cigarette smoking was defined as smoking at least 100 cigarettes over a lifetime and currently smoking cigarettes everyday (daily) or on some days (nondaily)[16]. No alcohol consumption was defined as lifetime abstention and consumption of < 1 drink per month for the past year. Monthly alcohol use was defined as consumption of ≥ 1 alcoholic drink per month for the past year. High-risk alcohol use was defined as consumption of ≥ 7 (males) or ≥ 5 (females) alcoholic drinks more than twice a week[17]. Body weight was classified as underweight (BMI < 18.5 kg/m2), normal weight (BMI: 18.5-25.0 kg/m2), or overweight (BMI > 25.0 kg/m2)[18]. Adequate sleep was defined as self-reported ≥ 7 h per night of sleep[19]. Sufficient physical activity was defined as performance of moderate-to-vigorous physical activity (MVPA) for ≥ 150 min per week[20].

Self-perceived health status

The subjective health status of the subjects was evaluated using a Likert-scale-based questionnaire. The question “How is your health in general?” was used to assess selfperceived health status, and the possible responses ranged from 1 (very good) to 5 (very poor).

Statistical analysis

Data were subjected to a weighted complex sampling analysis. Demographic and clinical characteristics are shown as numbers, means, and 95% confidence intervals (95%CI). A chi-squared test was performed for comparisons of health behaviors between the two groups. A t-test using a general linear model was used to compare selfperceived health status between the two groups. A multivariate linear regression analysis was performed to examine the associations between the health behaviors and selfperceived health status. A value of P < 0.05 was considered indicative of statistical significance. Statistical analyses were performed using IBM® SPSS® Statistics, version 23.0, for Windows™.

RESULTS
Demographic and clinical characteristics of the subjects

This study involved 5887 subjects, of whom 2568 (50.3%) were males and 3319 (49.7%) were females. Table 1 shows the demographic and clinical characteristics of the subjects. The mean age of the subjects was 46.7 years (95%CI: 46.0-47.5 years), and 3839 (75.8%) had ≥ 10 years of education. The chronic medical conditions were hypertension (n = 1387; 18.9%, 95%CI: 17.6%-20.4%), diabetes (n = 575; 7.8% 95%CI: 7.0%-8.7%), dyslipidemia (n = 799; 11.3%, 95%CI: 10.3%-12.4%), depression (n = 166; 2.6%, 95%CI: 2.1%-3.1%), liver cirrhosis (n = 12; 0.2%, 95%CI: 0.1%-0.3%), and hepatitis B (n = 192; 3.4%, 95%CI: 2.9%-4.0%), respectively. The mean BMI and abdominal circumference of the subjects were 24.0 (95%CI: 23.9-24.1) kg/m2 and 82.9 (95%CI: 82.4-83.3) cm, respectively. The fasting plasma glucose and hemoglobin A1c (HbA1c) levels were 100.4 (95%CI: 99.6-101.3) mg/dL and 5.6% (95%CI: 5.6%-5.7%), respectively. The total cholesterol and low-density lipoprotein (LDL)-cholesterol levels of the subjects were 193.1 (95%CI: 191.9-194.4) and 117.4 (95%CI: 114.9-119.8) mg/dL, respectively. The mean high-sensitivity C-reactive protein (hs-CRP) level was 1.23 (95%CI: 1.17-1.29) mg/L.

Table 1 Demographic and clinical characteristics of the participants in the 2016 Korean National Health and Nutrition Examination Survey (n = 5887).
VariableSample sizeMean/ proportion95%CI
Demographics
Age (yr)588746.746.0-47.5
Male (%)256850.349.1-50.5
Low income level (%)112916.213.7-18.4
Presence of spouse (%)497077.375.4-79.1
Education ≥ 10 yr (%)383975.871.3-80.3
Current medical history
Hypertension138718.917.6-20.4
Diabetes mellitus5757.87.0-8.7
Dyslipidemia79911.310.3-12.4
Depression1662.62.1-3.1
Liver cirrhosis120.20.1-0.3
Hepatitis B1923.42.9-4.0
Anthropometric measurements
BMI (kg/m2)24.023.9-24.1
Abdominal circumference (cm)82.982.4-83.3
Systolic BP (mm Hg)117.9117.3-118.5
AST (IU/L)22.722.2-23.2
ALT (IU/L)22.722.2-23.3
Fasting plasma glucose (mg/dL)100.499.6-101.3
HbA1c (%)5.65.6-5.7
Total cholesterol (mg/dL)193.1191.9-194.4
Triglycerides (mg/dL)144.8139.3-150.4
LDL-cholesterol (mg/dL)117.4114.9-119.8
hs-CRP (mg/L)1.231.17-1.29
Health behaviors and self-perceived health status

The health behaviors and self-perceived health status of the subjects are shown in Tables 2 and 3. The current cigarette smoking rate in males was non-significantly higher in the positive group than the negative group (41.5% vs 38.5%; P = 0.591). In the positive group, the rates of monthly and high-risk alcohol use were 70.4% and 17.6% in males and 45.9% and 3.8% in females, respectively [P = 0.455 (males) and P = 0.476 (females)]. More males had a normal body weight in the positive group than the negative group (P = 0.071). More females reported an adequate sleep duration in the negative group than the positive group (P = 0.452). The rate of sufficient physical activity was similar between the positive and negative groups among males but higher in the positive group than the negative group among females (P = 0.288). The self-perceived health status was similar between the positive and negative groups among males and females.

Table 2 Health behaviors and self-perceived health status in Korean adult males according to hepatitis B surface antigen status (n = 2568).
VariableTotal(n = 2568)
HBsAg negative(n = 2481)
HBsAg positive(n = 87)
P value1
Mean ± SEMean ± SEMean ± SE
Health behavior
Current cigarette smoker38.6 ± 1.338.5 ± 1.341.5 ± 5.70.591
Alcohol use0.455
Non-drinker25.2 ± 1.125.1 ± 1.129.6 ± 5.9
Monthly74.8 ± 1.174.9 ± 1.170.4 ± 5.9
High risk21.1 ± 1.021.3 ± 1.017.6 ± 4.5
Body weight status0.071
Underweight2.6 ± 0.42.7 ± 0.40.8 ± 0.8
Normal55.5 ± 1.255.5 ± 1.266.9 ± 5.4
Overweight41.9 ± 1.342.2 ± 1.332.3 ± 5.4
Sleep duration0.962
Short37.9 ± 1.237.9 ± 1.237.6 ± 5.9
Adequate62.1 ± 1.262.1 ± 1.262.4 ± 5.9
MVPA0.840
Inactive48.6 ± 1.448.6 ± 1.449.9 ± 6.4
Sufficiently active51.4 ± 1.451.4 ± 1.450.1 ± 6.4
Self-perceived health status (range 1-5)3.12 ± 0.043.13 ± 0.042.97 ± 0.100.146
Table 3 Health behaviors and self-perceived health status in Korean adult females according to hepatitis B surface antigen status (n = 3319).
VariableTotal(n = 3319)
HBsAg negative(n = 3214)
HBsAg positive(n = 105)
P value1
Mean ± SEMean ± SEMean ± SE
Health behavior
Current cigarette smoker6.1 ± 0.66.2 ± 0.63.2 ± 1.90.260
Alcohol use0.476
Non-drinker54.9 ± 1.154.9 ± 1.154.1 ± 5.3
Monthly45.1 ± 1.145.1 ± 1.145.9 ± 5.3
High risk5.3 ± 0.55.3 ± 0.53.8 ± 1.8
Body weight status0.858
Underweight5.6 ± 0.65.6 ± 0.65.5 ± 3.2
Normal65.1 ± 1.065.0 ± 1.068.0 ± 5.0
Obese29.3 ± 1.029.4 ± 1.126.5 ± 4.8
Sleep duration0.452
Short38.1 ± 1.037.9 ± 1.237.6 ± 5.9
Adequate61.9 ± 1.062.0 ± 1.058.0 ± 5.3
MVPA0.288
Inactive55.8 ± 1.256.0 ± 1.249.6 ± 6.0
Sufficiently active44.2 ± 1.244.0 ± 1.250.4 ± 6.0
Self-perceived health status (range 1-5)3.15 ± 0.043.15 ± 0.043.15 ± 0.140.992
Associations between health behaviors and self-perceived health status

High-risk alcohol consumption (β = -0.605, P = 0.020) and physical inactivity (β = 0.348, P = 0.013) were significantly associated with self-perceived health status in the positive group (Table 4). Current smoking (P = 0.078), body weight (P = 0.410), and inadequate sleep (P = 0.315) were not associated with self-perceived health status. LDLcholesterol (P = 0.017) and hs-CRP (P = 0.001) levels were significantly associated with self-perceived health status after adjusting for age, systolic blood pressure, waist circumference, and HbA1c level.

Table 4 Associations between health behaviors and self-perceived health status among Hepatitis B surface antigen positive adults in the 2016 Korean National Health and Nutrition Examination Survey.
VariableSelf-perceived health status
P value1
β95%CI
Health behavior
Current cigarette smoker0.569-0.077, 1.2150.078
Overweight0.244-0.388, 0.8750.410
Sleeps less than 7 h-0.281-0.873, 0.3110.315
High-risk alcohol use-0.605-1.092, -0.1180.020
Physically inactive0.3480.089, 0.6080.013
Covariates
Age (yr)0.003-0.018, 0.0240.778
SBP0.015-0.017, 0.0470.331
WC0.005-0.067, 0.0760.890
HbA1c-0.279-1.000, 0.4420.409
LDL0.0120.003, 0.0210.017
hs-CRP-0.097-0.144, -0.0500.001
DISCUSSION

In the present study, the rates of five health-related behaviors did not differ according to HBsAg positivity. Among males, current smoking rates were higher in the positive group, but there were no significant differences in alcohol use, body weight status, sleep duration, or physical activity between the two groups. In the positive group, the rates of high-risk alcohol use were 17.6% in males and 3.8% in females. High-risk alcohol consumption and physical inactivity were significantly associated with self-perceived health status in the positive group. These results may imply that a large proportion of hepatitis B patients have poor health behaviors, particularly related to smoking and alcohol consumption. Alcohol consumption and tobacco smoking are modifiable risk factors for HCC. Also, because chronic hepatitis B is an established risk factor for HCC, modification of health behaviors is a particularly important intervention for patients with chronic hepatitis B.

In males, the current smoking rate in the positive group was 41.5%, which is higher than the 23% rate in Organization for Economic Co-operation and Development (OECD) member countries[21]. In most OECD countries, the rate of daily smoking has been reduced by various measures, including stringent policies to reduce smoking and increased taxes on tobacco[21,22]. The World Health Organization estimates that smoking kills 7 million people worldwide annually, and it is the leading cause of death, illness, and impoverishment[21,23]. Nevertheless, over 60% of smokers do not quit after being diagnosed with a chronic illness for which smoking is an important prognostic factor[24]. Current smokers are at an increased risk of HCC[5]. Furthermore, there is a causal association between smoking and primary liver cancer, according to the International Agency for Research on Cancer[25]. Therefore, healthcare providers should pay more attention to the smoking habits of patients with hepatitis B. Tobacco smoking may increase the risk of HCC in several ways. First, numerous compounds in tobacco are metabolized to carcinogens in the liver. Second, tobacco smoking and chronic hepatitis B exert a synergistic effect on the risk of HCC[26]. In addition, levels of polycyclic aromatic hydrocarbons in HCC tissue are increased[27,28].

In this study, the rates of monthly and high-risk alcohol use among males were 70.4% and 17.6%, respectively, in the positive group. Heavy alcohol consumption is reportedly associated with HCC risk, although the threshold quantity/frequency is unknown[29,30]. Moreover, heavy alcohol consumption is associated with an 87% increase in the risk of HCC compared to that of non-drinkers[5]. Alcohol may contribute to hepatic carcinogenesis via acetaldehyde metabolism. Acetaldehyde, the product of ethanol oxidation, may interfere with DNA synthesis and repair and increase the level of reactive oxygen species[31]. Therefore, strict abstinence should be recommended for most patients with chronic hepatitis B[29]. In addition, high-risk alcohol consumption was significantly associated with self-perceived health status in the positive group. Thus, high-risk alcohol drinkers may have a better perception of their subjective health, as reported previously[32]. Alternatively, there may be a discrepancy between the actual and perceived quantity and frequency of alcohol consumption. Further studies should investigate the relationships of these discrepancies with alcohol consumption behaviors and sex differences. Our findings imply that a meaningful proportion of patients with chronic hepatitis B consume high-risk amounts of alcohol.

HCC is being increasingly diagnosed in obese and physically inactive individuals. The development of obesity-associated HCC involves chronic inflammation induced by adipose tissue remodeling and pro-inflammatory adipokine secretion, lipotoxicity, alterations in the gut microbiota, and insulin resistance[33]. In this study, the rate of a normal body weight was high among males in the positive group. However, 32.3% of males and 26.5% of females in the positive group were obese. Physical inactivity is also associated with self-perceived health status. Obesity in patients with chronic liver disease may accelerate the development of HCC; therefore, strategies to control body weight in such patients may reduce the incidence of HCC[32].

Strengths and weaknesses of the study

The first strength of this study was its representative population, which increases the validity of our findings compared with those from hospital- or institution-based populations. Second, our findings may be helpful in the management of patients with chronic hepatitis B, because few studies have described the health habits of chronic hepatitis B patients. However, this study also had several limitations. Its crosssectional nature prevented determination of causal relationships. In addition, our results cannot be generalized to other ethnic groups, because all of the subjects in this study were ethnic Koreans. Finally, we diagnosed hepatitis B based on the HBsAg level only, and thus repeat HBsAg testing and determination of plasma HBV DNA levels are needed to confirm the HBV infection status of the subjects.

Conclusions

In conclusion, a large percentage of Korean adults with chronic hepatitis B have poor health behaviors, particularly regarding smoking and alcohol consumption. These individuals must be encouraged to improve their health behaviors and to participate in appropriate education programs. Our findings will facilitate the development of alternative strategies to prevent HCC in patients with chronic hepatitis B.

ARTICLE HIGHLIGHTS
Research background

Chronic viral hepatitis B (CHB) is popular chronic condition in Asia-Pacific region. CHB is established risk factor of primary liver cancer that is second leading cause of cancer-related death. Health-related behaviors like as smoking, alcohol, body weight and physical activity are critical determinants of chronic illness. Most hepatitis B patients perceive that they are healthy because of asymptomatic and nonspecific nature of CHB. Such misunderstanding may cause inappropriate health behavior.

Research motivation

For the prevention of liver cancer, it seems important to manage these modifiable health behaviors. But few studies have described the health-related behaviors of chronic hepatitis B patients.

Research objectives

Our study evaluated the frequencies of five health-related behaviors (smoking, alcohol consumption, body weight, sleep duration, and physical activity) in Korean adults with CHB and association between these health behaviors and subjective health status.

Research methods

Data were obtained from 5887 subjects (2568 males, 3319 females) over 19 years old enrolled in the 2016 Korean National Health and Nutrition Examination Survey. A self-administered questionnaire and medical examination were performed to assess health-related behaviors. A chi-squared test was performed for comparisons of health behaviors between the CHB and negative groups. A t-test using a general linear model was used to compare selfperceived health status between the two groups.

Research results

Among males, the current smoking rate in the HBsAg positive group was higher than that in the negative group (45.5% vs 38.5%). In the positive group, the rates of monthly and high-risk alcohol use were 70.4% and 17.6% in males and 45.9% and 3.8% in females, respectively. The rate of alcohol use was similar between the two groups. In the HBsAg positive group, 32.3% and 49.9% of males and 26.5% and 49.6% of females were overweight and physically inactive, respectively. High-risk alcohol consumption and physical inactivity were significantly associated with self-perceived health status.

Research conclusions

Our study revealed that a large-percentage of Korean adults with chronic hepatitis B have poor health behaviors, particularly regarding tobacco smoking and alcohol consumption. These individuals must be encouraged to improve their health behaviors and to participate in appropriate education programs.

Research perspectives

These findings will facilitate the development of alternative strategies to prevent liver cancer in patients with chronic hepatitis B. Future prospective study is required to confirm our findings.

Footnotes

Manuscript source: Unsolicited manuscript

Specialty type: Gastroenterology and hepatology

Country of origin: South Korea

Peer-review report classification

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Grade D (Fair): 0

Grade E (Poor): 0

P- Reviewer: Chen MS Jr S- Editor: Wang XJ L- Editor: A E- Editor: Yin SY

References
1.  Schweitzer A, Horn J, Mikolajczyk RT, Krause G, Ott JJ. Estimations of worldwide prevalence of chronic hepatitis B virus infection: a systematic review of data published between 1965 and 2013. Lancet. 2015;386:1546-1555.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1806]  [Cited by in F6Publishing: 1909]  [Article Influence: 212.1]  [Reference Citation Analysis (2)]
2.  Chayanupatkul M, Omino R, Mittal S, Kramer JR, Richardson P, Thrift AP, El-Serag HB, Kanwal F. Hepatocellular carcinoma in the absence of cirrhosis in patients with chronic hepatitis B virus infection. J Hepatol. 2017;66:355-362.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 74]  [Cited by in F6Publishing: 83]  [Article Influence: 11.9]  [Reference Citation Analysis (0)]
3.  Yun EH, Lim MK, Oh JK, Park JH, Shin A, Sung J, Park EC. Combined effect of socioeconomic status, viral hepatitis, and lifestyles on hepatocelluar carcinoma risk in Korea. Br J Cancer. 2010;103:741-746.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 24]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
4.  Kimura T, Tanaka N, Fujimori N, Sugiura A, Yamazaki T, Joshita S, Komatsu M, Umemura T, Matsumoto A, Tanaka E. Mild drinking habit is a risk factor for hepatocarcinogenesis in non-alcoholic fatty liver disease with advanced fibrosis. World J Gastroenterol. 2018;24:1440-1450.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 38]  [Cited by in F6Publishing: 50]  [Article Influence: 8.3]  [Reference Citation Analysis (0)]
5.  Petrick JL, Campbell PT, Koshiol J, Thistle JE, Andreotti G, Beane-Freeman LE, Buring JE, Chan AT, Chong DQ, Doody MM. Tobacco, alcohol use and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma: The Liver Cancer Pooling Project. Br J Cancer. 2018;118:1005-1012.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 118]  [Cited by in F6Publishing: 132]  [Article Influence: 22.0]  [Reference Citation Analysis (0)]
6.  Campbell PT, Newton CC, Freedman ND, Koshiol J, Alavanja MC, Beane Freeman LE, Buring JE, Chan AT, Chong DQ, Datta M. Body Mass Index, Waist Circumference, Diabetes, and Risk of Liver Cancer for U.S. Adults. Cancer Res. 2016;76:6076-6083.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 115]  [Cited by in F6Publishing: 99]  [Article Influence: 12.4]  [Reference Citation Analysis (0)]
7.  Andronescu CI, Purcarea MR, Babes PA. Nonalcoholic fatty liver disease: epidemiology, pathogenesis and therapeutic implications. J Med Life. 2018;11:20-23.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Yi SW, Choi JS, Yi JJ, Lee YH, Han KJ. Risk factors for hepatocellular carcinoma by age, sex, and liver disorder status: A prospective cohort study in Korea. Cancer. 2018;124:2748-2757.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 43]  [Cited by in F6Publishing: 55]  [Article Influence: 9.2]  [Reference Citation Analysis (0)]
9.  Sacerdote C, Ricceri F. Epidemiological dimensions of the association between type 2 diabetes and cancer: A review of observational studies. Diabetes Res Clin Pract. 2018;.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 24]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
10.  Guilbert JJ. The world health report 2002 - reducing risks, promoting healthy life. Educ Health (Abingdon). 2003;16:230.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 156]  [Cited by in F6Publishing: 1094]  [Article Influence: 52.1]  [Reference Citation Analysis (0)]
11.  Cramm JM, Adams SA, Walters BH, Tsiachristas A, Bal R, Huijsman R, Rutten-Van Mölken MP, Nieboer AP. The role of disease management programs in the health behavior of chronically ill patients. Patient Educ Couns. 2014;95:137-142.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 18]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
12.  Newsom JT, Huguet N, McCarthy MJ, Ramage-Morin P, Kaplan MS, Bernier J, McFarland BH, Oderkirk J. Health behavior change following chronic illness in middle and later life. J Gerontol B Psychol Sci Soc Sci. 2012;67:279-288.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 123]  [Cited by in F6Publishing: 120]  [Article Influence: 10.0]  [Reference Citation Analysis (0)]
13.  Lenfant C. Shattuck lecture--clinical research to clinical practice--lost in translation? N Engl J Med. 2003;349:868-874.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 572]  [Cited by in F6Publishing: 515]  [Article Influence: 24.5]  [Reference Citation Analysis (1)]
14.  Kaleta D, Makowiec-Dabrowska T, Dziankowska-Zaborszczyk E, Jegier A. Physical activity and self-perceived health status. Int J Occup Med Environ Health. 2006;19:61-69.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 44]  [Cited by in F6Publishing: 47]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
15.  Kweon S, Kim Y, Jang MJ, Kim Y, Kim K, Choi S, Chun C, Khang YH, Oh K. Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES). Int J Epidemiol. 2014;43:69-77.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1202]  [Cited by in F6Publishing: 1534]  [Article Influence: 170.4]  [Reference Citation Analysis (0)]
16.  Schoenborn CA, Vickerie JL, Barnes PM.  Cigarette smoking behavior of adults: United States, 1997-98. Advance data from vital and health statistics; no 331. Hyattsville, Maryland: National Center for Health Statistics 2003;  Available from: https://www.cdc.gov/nchs/data/ad/ad331.pdf.  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Bradstock K, Forman MR, Binkin NJ, Gentry EM, Hogelin GC, Williamson DF, Trowbridge FL. Alcohol use and health behavior lifestyles among U.S. women: the behavioral risk factor surveys. Addict Behav. 1988;13:61-71.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 31]  [Cited by in F6Publishing: 28]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
18.  WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157-163.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7065]  [Cited by in F6Publishing: 7846]  [Article Influence: 392.3]  [Reference Citation Analysis (0)]
19.  Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, Dinges DF, Gangwisch J, Grandner MA, Kushida C. Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38:843-844.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 221]  [Cited by in F6Publishing: 531]  [Article Influence: 59.0]  [Reference Citation Analysis (0)]
20.  Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007;39:1423-1434.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3281]  [Cited by in F6Publishing: 3170]  [Article Influence: 186.5]  [Reference Citation Analysis (0)]
21.  OECD. Health at a Glance 2017.  Available from: https://www.health.gov.il/PublicationsFiles/HealthataGlance2017.pdf.  [PubMed]  [DOI]  [Cited in This Article: ]
22.  Bilano V, Gilmour S, Moffiet T, d’Espaignet ET, Stevens GA, Commar A, Tuyl F, Hudson I, Shibuya K. Global trends and projections for tobacco use, 1990-2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control. Lancet. 2015;385:966-976.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 303]  [Cited by in F6Publishing: 302]  [Article Influence: 33.6]  [Reference Citation Analysis (0)]
23.  GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1659-1724.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3118]  [Cited by in F6Publishing: 2719]  [Article Influence: 339.9]  [Reference Citation Analysis (0)]
24.  Katz DA, Muehlenbruch DR, Brown RB, Fiore MC, Baker TB; AHRQ Smoking Cessation Guideline Study Group. Effectiveness of a clinic-based strategy for implementing the AHRQ Smoking Cessation Guideline in primary care. Prev Med. 2002;35:293-301.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 43]  [Cited by in F6Publishing: 48]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
25.  IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Tobacco smoke and involuntary smoking. IARC Monogr Eval Carcinog Risks Hum. 2004;83:1-1438.  [PubMed]  [DOI]  [Cited in This Article: ]
26.  Chuang SC, Lee YC, Hashibe M, Dai M, Zheng T, Boffetta P. Interaction between cigarette smoking and hepatitis B and C virus infection on the risk of liver cancer: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2010;19:1261-1268.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 81]  [Cited by in F6Publishing: 90]  [Article Influence: 6.4]  [Reference Citation Analysis (0)]
27.  Benowitz NL, Hukkanen J, Jacob P 3rd. Nicotine chemistry, metabolism, kinetics and biomarkers. Handb Exp Pharmacol. 2009;29-60.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 916]  [Cited by in F6Publishing: 943]  [Article Influence: 62.9]  [Reference Citation Analysis (0)]
28.  Chen SY, Wang LY, Lunn RM, Tsai WY, Lee PH, Lee CS, Ahsan H, Zhang YJ, Chen CJ, Santella RM. Polycyclic aromatic hydrocarbon-DNA adducts in liver tissues of hepatocellular carcinoma patients and controls. Int J Cancer. 2002;99:14-21.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 82]  [Cited by in F6Publishing: 88]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
29.  Iida-Ueno A, Enomoto M, Tamori A, Kawada N. Hepatitis B virus infection and alcohol consumption. World J Gastroenterol. 2017;23:2651-2659.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 43]  [Cited by in F6Publishing: 46]  [Article Influence: 6.6]  [Reference Citation Analysis (0)]
30.  Turati F, Galeone C, Rota M, Pelucchi C, Negri E, Bagnardi V, Corrao G, Boffetta P, La Vecchia C. Alcohol and liver cancer: a systematic review and meta-analysis of prospective studies. Ann Oncol. 2014;25:1526-1535.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 113]  [Cited by in F6Publishing: 130]  [Article Influence: 13.0]  [Reference Citation Analysis (0)]
31.  Seitz HK, Stickel F. Risk factors and mechanisms of hepatocarcinogenesis with special emphasis on alcohol and oxidative stress. Biol Chem. 2006;387:349-360.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 205]  [Cited by in F6Publishing: 197]  [Article Influence: 10.9]  [Reference Citation Analysis (0)]
32.  Stranges S, Notaro J, Freudenheim JL, Calogero RM, Muti P, Farinaro E, Russell M, Nochajski TH, Trevisan M. Alcohol drinking pattern and subjective health in a population-based study. Addiction. 2006;101:1265-1276.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 101]  [Cited by in F6Publishing: 104]  [Article Influence: 5.8]  [Reference Citation Analysis (0)]
33.  Karagozian R, Derdák Z, Baffy G. Obesity-associated mechanisms of hepatocarcinogenesis. Metabolism. 2014;63:607-617.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 120]  [Cited by in F6Publishing: 126]  [Article Influence: 12.6]  [Reference Citation Analysis (0)]