• Korean Journal of Health Education and Promotion
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• v.30 no.1
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• pp.13-25
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• 2013

Objectives: This study was performed to investigate the influence of family factors on drinking and smoking of middle-aged men. Methods: This study used data from the fourth-wave of the Korean Welfare Panel Study, which was collected by the Korean Institute for Health and Social Affairs and the Social Welfare Research Center of Seoul National University. This study was conducted on 3,084 men who were between 30 and 59. Results: The family factors, except for living with children, affected drinking, heavy drinking, smoking, and current smoking, after controlling for age, education, employment status, and family income. Marital status had statistically significant influences on heavy drinking, smoking, and current smoking. Living without family had influences on drinking, and heavy drinking. family satisfaction affected heavy drinking, smoking, and current smoking. The effects of family conflicts were also statistically significant. Conclusions: Based on the results, this paper can suggest that the projects of moderation in drinking and smoking are required to consider family factors more and the plan of building up family resources should be considered in the whole aspects of the society.

• Biomedical Science Letters
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• v.10 no.4
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• pp.453-457
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• 2004

The welders and car painters are frequently exposed to heavy metals such as lead, zinc, cadmium and chromium, and those are a major source of heavy metal poisoning. This study was carried out to investigate the relationship of the heavy metal level in blood by age, working duration, and smoking status among 105 industrial workers and 88 general people in Gyeongnam province from October 2003 to October 2004. The heavy metal level in blood was analyzed by atomic absorption spectrophotometer. Mean blood lead level in exposed group and control group was 8.40±4.67μl/dl, 1.82±1.35μl/dl, respectively. Mean blood zinc level in exposed group and control group was 9.43±5.38 ㎍/ml, 2.89±1.79㎍/ml, respectively. Mean blood cadmium level in Exposed group and control group was 1.53±1.05μl/dl, 0.60±0.49 μl/dl, respectively. Mean blood chromium level in exposed group and control group was 0.89±0.76μl/dl, 0.68±0.63μl/dl, respectively. Lead, zinc, cadmium and chromium level in blood of exposed group was significantly higher than that of control group. In the comparison of smoking status, lead, zinc and cadmium level of smoker's was significantly higher than that of non-smoker's. Comparison of heavy metal level by age, lead, zinc, cadmium level in 40's, 50's (exposed group) in blood significantly higher than that of 20's, 30's. In exposed group, working duration has no significant difference. In conclusion, smoking was the most hazardous factor to elevate in blood heavy metal levels.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.622-633
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• 2017

The study was conducted to compare the factors affecting smoking quit attempts according to the amounts of smoking in adolescent smoker. The data were derived from the 12th Korea youth risk behavior web-based survey 2016 in Korea and analyzed using the IBM SPSS statistics version 21.0 software package considering complex samples analysis. The subjects were 4,012 adolescents smokers, Of these, 78.4% of the general smoker who smoke less than 10 cigarettes a day and 21.6% of the heavy smoker who smoke more than 10 cigarettes a day. As a logistic regression, vigorous physical activity, depression, smoking initiation time, friends smoking, smoking cessation education, and non-smoking promotion were associated with significantly smoking quit attempts in general smoker, vigorous physical activity, friends smoking, smoking cessation education, and non-smoking promotion were associated with significantly smoking quit attempts in heavy smoker. Based on the results, they were taken a baseline data for developing adapted smoking quit education program which were succeed effectively in adolescent smokers.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.1
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• pp.111-125
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• 2018

Objectives: The aim of this study was to identify differential impacts on smoking and drinking behaviors according to early menarche. Methods: 31,277 Korean female adolescents who had undergone menarche were included. Among them, 1,822 participants(5.8%) who experienced menarche in elementary school under 4th grade were assigned to early menarche group and others were was assigned normal menarche group. Using 11th(2015) Korea Youth Risk Behavior Web-based Survey, logistic regression analysis was conducted. Results: Adjusted confounding variables were analyzed and it was found that both drinking and smoking behaviors were higher in early menarche group. The participants with early menarche showed higher risk of non-daily smoking(OR=1.39, 95%CI=1.18-1.63), light daily smoking(OR=1.64, 95%CI=1.14-2.35) and moderate-to-heavy daily smoking(OR=3.15, 95%CI=2.02-4.92). Also, in the drinking behaviors, the risk of light and heavy drinking was higher than those of normal menarche group. Conclusions: Finding of this study showed Early menarche adolescents were associated with heavy smoking and drinking behaviors compared to normal menarche. Further studies are needed more evaluations.

• Biomedical Science Letters
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• v.12 no.4
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• pp.371-374
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• 2006

This study was carried out to investigate the relationship of the cadmium and lead levels in blood by age, gender and smoking status among 181 students in Gyeongnam province from June 2005 to July 2006. The cadmium and lead levels in blood was analyzed by atomic absorption spectrophotometer. Subjects were classified for the investigation according to smoking status as smokers and nonsmokers, age and gender. Mean blood cadmium level in male and female was $1.65{\mu}g/dl,\;1.10{\mu}g/dl$ respectively. Male was significantly higher than that of female. Blood cadmium levels in heavy smokers ($11{\sim}20\;ea/day$) and light smokers ($1{\sim}10\;ea/day$) were $2.34{\mu}g/dl,\;1.10{\mu}g/dl$ respectively. Heavy smokers were significantly higher than those of light smokers. In the comparison of age, gender and smoking status in blood Lead levels were no significant differences. In conclusion, heavy smoking was the most significant risk factor to increase blood cadmium levels. The further study will need analysis of the other factors related to the elevation of the cadmium and lead levels.

• Journal of the Korean Dietetic Association
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• v.7 no.3
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• pp.248-257
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• 2001

The purpose of this study was to investigate the effect of smoking on dietary behavior and nutrient intake among the male college students. The subjects were divided into three groups; non smoker(n=84), moderate smoker(n=68), and heavy smoker(n=89) according to duration and degree of smoking. And they were asked for general characteristics, life style, eating pattern, food frequency, and nutrient intake using questionnaire and 24-hr recall method. The mean age, height, weight, and BMI of the subjects were 26.2$\pm$6.2 years, 173.3$\pm$5.3㎝, 66.5$\pm$9.3㎏, and 22.1$\pm$2.7㎏/$m^2$, respectively. The type of residence and frequency of alcohol drinking were significantly different among three groups; the frequency of self-boarding and alcohol drinking in moderate smoker and heavy smoker was higher than those in non smoker. Comparing with non smoker, the frequency of skipping meals, especially breakfast and supper, was significantly high in moderate smoker and heavy smoker. The most common reason why heavy smoker skipped meals was ‘eating habit’, while it was ‘lack of time’ in non smoker. The results showed that the heavy smoker tended to drink coffee more often compared to the other two groups. There were no significant differences in nutrient intakes among three groups. In conclusion, heavy smoking students have unhealthy dietary behaviors in terms of high frequency of alcohol drinking, habit of skipping meals and frequent coffee drinking showing a strong need of proper education on smoking withdrawal and meal practice for them.

• Journal of Preventive Medicine and Public Health
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• v.47 no.5
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• pp.266-272
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• 2014

Objectives: The aim of this study was to investigate the relationship between age at cigarette smoking initiation and smoking level among adolescent current smokers. Methods: In 2007, students from one or two classes of the 10th or 11th grade were randomly selected using the probability proportional to size sampling method. In total, 743 current smokers were included. Multiple logistic regression was used to determine the association between age at smoking initiation and smoking level as either frequent, daily, or heavy smokers. Results: The adjusted odds ratios for each smoking level were significantly higher for younger ages of smoking initiation than those for older ages of initiation were (p for trend <0.001). Compared with the students who started smoking in grades 10 to 11, the adjusted odds ratios for frequent, daily, and heavy smokers increased from 2.24 (95% confidence interval [CI], 1.30 to 3.87) to 3.90 (95% CI, 2.02 to 7.56), from 1.56 (95% CI, 0.92 to 2.62) to 3.17 (95% CI, 1.70 to 5.92), and from 2.56 (95% CI, 1.21 to 5.42) to 5.67 (95% CI, 2.61 to 12.30) with younger ages of smoking initiation. Conclusions: Smoking frequency and amount were closely associated with age at smoking initiation. Therefore, smoking prevention programs should be initiated from the young adolescent period.

• Journal of Preventive Medicine and Public Health
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• v.35 no.2
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• pp.123-128
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• 2002

Objective : To examine the relationship between cigarette smoking, alcohol and cancer mortality in men in the Kangwha cohort after 12 years and 10 months of follow up. Methods : The subjects consisted of 2,681 men in the Kangwha cohort aged over 55 in 1985. Number of deaths and the time to death front all cancers and other cause were measured and the data for the smoking and drinking habits were obtained from the baseline survey data in 1985. All subjects were categorized into four groups according to their smoking habits: non-smokers, ex-smokers, mode(ate-smokers (1-19 cigarettes per day), heavy-smokers ($\geq$20 cigarettes per day). In addition, they were also categorized according to their drinking habits: non-drinkers, light-drinkers ($\leq$1 drink per week), moderate-drinkers (<3 drinks per day), heavy-drinkers ($\geq$3 drinks per day). The cancer specific death rates were calculated according to their smoking and drinking status. The adjusted risk ratio for all cancer deaths according to their smoking and drinking status were estimated using the Cox's proportional hazard regression model. Results : Using nonsmokers as the reference category, the adjusted risk ratio for all cancer deaths were 1.573(95% CI=1.003-2.468) for heavy-smokers. For lung cancer deaths, the adjusted risk ratios were 3.540(95% CI=1.251-10.018) for moderate-smoker and 4.114(95% CI=1.275-13.271) for heavy-smokers. Compared to non-drinkers, the adjusted risk ratio for stomach cancer was 2.204(95% CI=1.114-4.361) for light-drinkers. Conclusion : Smoking is the most significant risk factor for cancer deaths particularly lung cancer.

• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.168-176
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• 2015

Purpose: The purpose of this study was to investigate the combined influence of the frequency and the intensity of smoking on suicidal ideation and attempts in Korean high school students. Methods: This cross sectional study used secondary data from the 2014 Adolescent Health Behavior Online Survey. A total of 35,094 high school students were included in the study. The study set up two categories for the frequency of smoking - intermittent and daily - and another two for the intensity of smoking - heavy and light. Complex samples logistic regression was used to analyze the combined influence of smoking frequency and intensity on suicidal ideation and attempts. Results: Regardless of frequency and intensity, smoking was more likely to increase suicidal ideation and attempts than non-smoking. Among smokers, intermittent heavy smokers (suicidal ideation: Adjusted Odds Ratio [AOR]: 1.406, 95% Confidence Interval [CI]: 1.015~2.161, p=.012; suicidal attempts: AOR: 2.977, 95% CI: 1.814~4.886, p<.001) or daily heavy smokers (suicidal ideation: AOR: 1.274, 95% CI: 1.017~1.596, p=.035; suicidal attempts: AOR: 1.717, 95% CI: 1.250~2.359, p=.001) had significantly higher odds of suicidal ideation and attempts than intermittent light smokers. Conclusion: Based on the results, smoking prevention and cessation are essential to preventing suicides in adolescents. Especially, smoking intervention programs are needed to reduce smoking intensity in smokers.

• Journal of Korean society of Dental Hygiene
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• v.19 no.4
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• pp.515-524
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• 2019

Objectives: This study aimed to investigate the effects of the amount and duration of smoking on gingival symptoms in adolescents. Methods: We used the web-based survey data of youth health behaviors from 2016 conducted by the Korean Centers for Disease Control and Prevention. The subjects of the study were 67,983 middle and high school students. Data analysis was performed using the SPSS Ver 20.0 program, and complex sample multivariate logistic regression analysis was performed to analyze gingival symptoms according to short- or long-term smoking habits. Results: In subjects with short-term smoking habits, there was no significant difference in gingival symptoms according to the smoking amount. However, after adjusting for socioeconomic characteristics and oral health behaviors in subjects with long-term smoking habits, a heavy smoking amount (${\geq}0.52PY$) had a 1.25 times higher effect than a light smoking amount (<0.52 PY) on gingival symptoms. Long-term heavy smoking (${\geq}0.52PY$) and low daily tooth-brushing frequency in high school students were factors affecting gingival symptoms. Conclusions: When conducting a project on the oral health of adolescents, it is argued that specific investigations and measures should be set up regarding health behavior factors, such as the amount and duration of smoking among adolescents.