• Title/Summary/Keyword: Smoking amount

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Age at Smoking Initiation and Subsequent Smoking Among Korean Adolescent Smokers

  • Hwang, Jun Hyun;Park, Soon-Woo
    • 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.

The Relationship between Obesity, Lifestyle, and Dietary Intake and Serum Lipid Level in Male University Students (일부 남자대학생의 비만, 생활습관 및 식이섭취와 혈청지질 수준의 관련성 연구)

  • 현화진
    • Korean Journal of Community Nutrition
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    • v.6 no.2
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    • pp.162-171
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    • 2001
  • This study was performed to investigate the relationship between obesity, health-related lifestyle, and dietary intake and serum lipid level in 96 male university students. Health-related lifestyle factors were obtained from questionnaires. Dietary intakes were evaluated with one-day 24-hr recall and two-day dietary record. Anthoropometric data were recorded and serum cholesterol and triacylglycerol concentrations were measured. 21.9%, 36.5%, 36.5%, and 6.2% of the subjects had levels beyond the normal range in serum total cholesterol(TC), HDL-cholesterol(HDL-C), LDL-cholesterol(LDL-C), and triacyglycerol respectively, and 57.3% of the subjects had more than one hyperlipidemic factor. TC was correlated positively with BMI(p〈0.01), waist length(p〈0.05), hip length(p〈0.05), and the amount of smoking(p〈0.05). HDL-C was correlated negatively with BMI(p〈0.05) and hip lenghth(p〈0.05). LTD-C was correlated positively with BMI(p〈0.01), water length(p〈0.05), hip length(p〈0.01), and coffee consumption(p〈0.05). TG was correlated positively with waist length(p〈0.01), waist-to-hip ratio(p〈0.05), and amount of smoking(p〈0.01) and negatively correlated with frequence of exercise(p〈0.05). Among nutrient intakes, only the ratio of protein to energy was correlated negatively with TC(p〈0.05). Logistic regression analysis revealed that BMI, waist length, hip length, waist-to-hip ratio, and amount of cigarette smoking were associated with an increased risk of hyper-TC. BMI, waist length, and hip length were associated with an increased risk of hypo-HDL-C. BMI and coffee consumption were associated with an increased risk of hyper-LDL-C. Amount of cigarette smoking was associated with an increased risk of hyper-TG. In conclusion, a high prevalence of hyperlipidemia in subjects was observed. Also obesity, smoking, and coffee consumption were observed to be highly with the risk of hyperlipidemia in subjects. These findings imply that these factors should be primarily considered in planing the nutrition education program for the prevention of cardiovascular disease in male university students.

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A Study on the Actual Condition of the Adult-smoking in a Region (일 지역 성인의 흡연실태)

  • Chong Young-sook
    • Journal of Korean Public Health Nursing
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    • v.13 no.1
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    • pp.97-113
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    • 1999
  • To investigate the actual condition of the adult-smoking in Chinan County. I used self-reporting questionnaires among 923 residents living in nine districts selected at random among the sites of eleven eup-myons from December 28. 1998 to January 6. 1999. collected data and analyized using SPSS. The smoking rate of adults in Chinan County was $36.9\%$. There was a significant difference in smoking rate according to the age. gender, education and job among general characteristics. The smoking rate in group of above 40s was about $40\%$ and that of the male took $55.5\%$ which was higher than that of female and the smoking rate of the people having high-school education was the highest$(46.2\%)$. With regard to the career. the smoking rate of the farmers ranked first$(46.1\%)$. Therefore anti-smoking business for smokers should be focused on above 40 years old, males. people having high school education and farmers. As the result of the survey of smoking habits of 340 people who smoke currently, the average smoking begining age was 21.8 and $81.5\%$ among them was between 16-25 years old. $4.4\%$ was under 15. during around the elementary school. Most motives to smoke were as followed; curiosity or taste$(33.6\%)$, relief of stress $(31.2\%)$, peer presure$(26.5\%)$ And considering the amount of the cigarette which is smoked per day, the case which is less than a pack of cigarettes was highest as $75.5\%$ and the people who smoke over one pack of cigarettes took $24.5\%$. As for the kind of tobacco which is smoked, how to smoke and the desire for the smoking, most case was toxin was moderate$(47.8\%)$ or mild$(46.9\%)$. shallowly$(49.0\%)$ or deeply$(46.3\%)$ and under stress$(33.4\%)$. after meals$(27.8\%)$, during drink$(15.7\%)$ and so on. The highest point marked among the factors of smoking motives was 'the reduce of negative emotion' $(3.27\pm1.00)$. followed by 'uncomfortable habits' $(2.87\pm1.02)$, 'addiction' $(2.84\pm1.06)$. 'habit' $(2.74\pm1.12)$. 'pleasure' $(2.70\pm1.04)$. 'stimulus' $(2.59\pm.90)$, 'sensation-exercise satisfaction' $(2.42\pm.97)$. Smokers smoke to reduce the negative emotions when angry in most common case. depressed. anxious. uncomfortable. lone. ashamed or embarrased. and intend to solve the certain problem. etc. Other motives are uncomfortable habit. addiction. habit. pleasure and the pursuit of stimulus. The level of nicotine dependence of adults m Chinan County was 10.57 which amount to 'high' wholly. As the resulf of the level of nicotine dependence score. the people who are low in the level of nicotine was $33.5\%$. the people who are high was $48.2\%$. very high was $18.4\%$. The approach for anti-smoking for smokers should be conducted differently according to the level of the nicotine. For the people who are in low level of nicotin dependence the prohibition of the smoking should be guided through the approach to foster strong will. for those who are in 'high' by acquiring proper method for the prohibition of smoking. and for those who are 'very high' the anti-smoking should be induced by providing proper program because of the possibility of the suffer from abstinence syndrome. The difference of the level of nicotine with the general characteristics of the objects had not statistically significant difference. The difference of the level of nicotine dependence accompanied by smoking habit had statistically significant difference according to the amount of smoke, the kind of tobacos. smoke inhale habit. In other words, the group of heavy smokers had higher level of the nicotine dependence than that of the light smokers relatively and the group which smoke strong taboaco has higher level of nicotine than that of which smoke mild or moderate. And the group of smokers who smoke deeply has higher level of nicotine than that who smoke shallowly or nonswallow. Aa a result of the analysis of the correlation between smoking motive factors and the level of nicotine, there was the indication that people who smoke for the decrease of the negative emotion. habit, pleasure. stimulus. sensation-exercise satisfaction had high level of the nicotine dependence. As the result of the anti-smoking will of smokers. $65.0\%$ of them had prohibition of smoking will. $29.3\%$ had no will to quit smoke. The most important reason for anti-smoking was health. $67.9\%$ had experience to try to quit smoke and the biggest reason to fail to quit smoking was the lack of the will power to keep anti-smoking. $52.8\%$ of them were advised to stop smoking from their spouses or children. only $2.8\%$ were by medical. The people who have the opinion to need anti-smoking education were $69.6\%$. Therefore when the business for the hygine of the mouth for adult is set. it should be centered on the people who have intention of prohibition of the smoking and help to quit smoking by way of other affirmative counter-program not smoking under stress.

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An Analysis of Determinants of Smoking and Drinking of Community people in Rural area (농촌주민의 흡연 및 음주 실태와 이에 영향을 미치는 요인분석)

  • 남철현
    • Korean Journal of Health Education and Promotion
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    • v.6 no.1
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    • pp.48-59
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    • 1989
  • The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P<0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

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Observation of the Effects of Auricular Acupressure on Smoking Cessation in Male High School Students from 2015 to 2017 (2015년부터 2017년까지 시행한 이압요법을 통한 남자 고등학생 금연효과 관찰)

  • Lee, Gi-hyang;Jeon, Sang-woo;Kan, Sei-young
    • The Journal of Internal Korean Medicine
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    • v.40 no.6
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    • pp.1202-1209
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    • 2019
  • Objectives: The purpose of this study was to confirm the effects of an auricular acupressure (AA) program for smoking cessation in high school students from 2015 to 2017. Methods: The study investigated 12 high school students who had been smokers. Subjects were treated for three years. Each program was composed of five AA treatments. Average daily smoking and adverse reactions were checked for one week before each procedure. The AA was administered weekly at the endocrine point, lung point, throat point, nasal fossae point, bronchial tube point, and mouth point. Results: The mean number of cigarettes smoked per day after each year of treatment significantly decreased from 5.33±3.58 to 3.54±2.08 in 2015 (p=0.046). However, it increased from 5.75±2.30 to 6.00±3.61 in 2017 (p=0.80). The number of cigarettes smoked before treatment was found to be higher than the number of cigarettes after treatment in the previous year. No significant results were obtained from analysis of the change in the amount of smoking within each year. Conclusion: Social influence, such as the subject's academic stress and peer relationships, may have been a major factor in the change in the amount of smoking. Although the AA did not show a strong effect in smoking cessation, it appears to have value as a supplementary means of stopping smoking.

An Analysis of the Characteristics and Preferences Related to a Smoking Cessation Program among Smoking College Students (흡연대학생의 제 특성과 금연프로그램 선호도 분석)

  • Kim, Eun Kyung;Song, Mi Ryeong
    • Journal of Korean Biological Nursing Science
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    • v.15 no.4
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    • pp.184-192
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    • 2013
  • Purpose: The purpose of this study was to analyze the characteristics and preferences related to a smoking cessation program among college students to help college students quit smoking. Methods: This study used a cross-sectional survey to analyze collected data from 324 college students who had a positive reaction to a urine nicotine test. Collected data were analyzed with descriptive statistics using SPSS 20.0. Results: The smoking amount per day of the participants was 4.1 pieces, and the average smoking period was 5.2 years. The mean of the CO level in exhaled air of the participants was 8.95 ppm. Their urge to smoke increased after a meal or while drinking alcohol. Most students wanted to quit smoking. Half of them were in a preparation phase to quit. Students wanted their willingness and determination to be reinforced (48%), and wanted to learn about specific smoking cessation methods (33%) through a smoking cessation program. Most of the students (60%) wanted an online program to help them quit smoking. Conclusion: To help students quit smoking, a online program that strengthens their determination to quit, and which contains specific methods to help them is needed.

Relation of the Blood Pressure, Lipids and Body Mass Index by Smoking Status Among Adolescents (청소년의 흡연과 혈압, 지질 및 체질량 지수와의 관계)

  • Byeon, Young-Soon;Lee, Hea-Shoon
    • Journal of Korean Academy of Nursing
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    • v.37 no.6
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    • pp.1020-1026
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    • 2007
  • Purpose: This study was to investigate the relationship between blood pressure, lipids and body mass index by smoking status among adolescents. Methods: This study was designed as a descriptive correlational study. General and smoking characteristics were collected using a questionnaire. The smoking group consisted of 42 (33%) students and the non smoking group 85 (67%) students. Blood pressure, lipids, height and weight were measured, and body mass index was calculated to $kg/m^2$. The collected data was analyzed by the n(%), ${\chi}^2-test$, t-test and Pearson correlation coefficient (SPSS 12.0). Results: 1. The smoking level was different between grade, smoking status among the family, the contentment of their relationship with their parents, school life and teachers. 2. The smoking group's systolic blood pressure, total cholesterol, triglyceride, low density lipoprotein cholesterol and body mass index were higher than those of the non smoking group. 3. The smoking amount had a significant positive correlation between total cholesterol and low density lipoprotein cholesterol. Conclusion: The result of this study offered basic data to develop intervention programs to prevent hypertension and hyperlipidemia in smoking adolescents.

Scientific Evidence for the Addictiveness of Tobacco and Smoking Cessation in Tobacco Litigation

  • Roh, Sungwon
    • Journal of Preventive Medicine and Public Health
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    • v.51 no.1
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    • pp.1-5
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    • 2018
  • Smokers keep smoking despite knowing that tobacco claims many lives, including their own and others'. What makes it hard for them to quit smoking nonetheless? Tobacco companies insist that smokers choose to smoke, according to their right to self-determination. Moreover, they insist that with motivation and willpower to quit smoking, smokers can easily stop smoking. Against this backdrop, this paper aims to discuss the addictive disease called tobacco use disorder, with an assessment of the addictiveness of tobacco and the reasons why smoking cessation is challenging, based on neuroscientific research. Nicotine that enters the body via smoking is rapidly transmitted to the central nervous system and causes various effects, including an arousal response. The changes in the nicotine receptors in the brain due to continuous smoking lead to addiction symptoms such as tolerance, craving, and withdrawal. Compared with other addictive substances, including alcohol and opioids, tobacco is more likely to cause dependence in smokers, and smokers are less likely to recover from their dependence. Moreover, the thinning of the cerebral cortex and the decrease in cognitive functions that occur with aging accelerate with smoking. Such changes occur in the structure and functions of the brain in proportion to the amount and period of smoking. In particular, abnormalities in the neural circuits that control cognition and decision-making cause loss of the ability to exert self-control and autonomy. This initiates nicotine dependence and the continuation of addictive behaviors. Therefore, smoking is considered to be a behavior that is repeated due to dependence on an addictive substance, nicotine, instead of one's choice by free will.

A Comparative Study on the Pulmonary Function between Smoking Soldier and Non-smoking Soldier

  • Wang, Joong San;Choi, Myoung jin
    • Journal of International Academy of Physical Therapy Research
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    • v.9 no.4
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    • pp.1596-1601
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    • 2018
  • Smoking can be a significant cause of lung diseases and reduced respiratory functions. Among soldiers, smoking may have a negative impact on their health (physical strength) and well being. Information on differences in the respiratory functions of smokers and nonsmokers in the military services and the effects of the smoking duration and amount (i.e., the number of cigarettes smoked per day) would be useful. This study investigated smoking durations and smoking amounts among young male soldiers (N = 61). The forced vital capacity (FVC), forced expiratory volume in 1 sec (FEV1), and forced expiratory volume in 1 sec/forced vital capacities (FEV1/FEC) were measured FVC, FEV1, or FEV1/FEC of smokers and nonsmokers were not significantly different, and FVC and FEV1 were inversely proportional to smoking duration. Besides, the number of cigarettes smoked per day was not correlated with respiratory functions. These findings may be attributed to the effect of the strenuous physical activity (e.g., military drills) undertaken by soldiers on their respiratory functions. Despite the lack of evidence for a difference in the respiratory functions of smokers and nonsmokers, this study recommends ongoing respiratory function management through smoking cessation programs and respiratory physiotherapy to manage the respiratory functions of Korean smoking soldiers.

The Impact of Health Behaviors of Male Workers without Diabetes on HbA1c (당뇨병이 없는 남성 근로자의 건강행태 특성이 당화혈색소에 미치는 영향)

  • Park, Ji-Yun;Kim, Keon-Yeop;Lee, Su-Jin
    • Journal of health informatics and statistics
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    • v.43 no.4
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    • pp.344-351
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    • 2018
  • Objectives: The purpose of this study is to investigate the impact of health behaviors of male workers without diabetes such as smoking, drinking and physical activities on HbA1c using 2015 and 2016 data from Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The final study subjects of KNHANES were a total of 1,703 male workers in their 30s-50s who had normal levels of fasting blood sugar level, HbA1c, and hemoglobin. For the study variables, age, household income, educational level and occupation were included as socio-demographic characteristics; smoking behavior, drinking behavior, and physical activity behavior as characteristics of health behavior; and waist circumference, body mass index, systolic and diastolic blood pressures, total cholesterol, triglyceride and HDL cholesterol as medical examination characteristics were included. The analysis was conducted using independent variables t-test, one-way ANOVA, Pearson's correlation analysis and multiple regression analysis. Results: Socio-demographic factors that affect HbA1c were age, educational level, and occupation. As for HbA1c according to the status of current smoking, it was higher in order of the present, past and nonsmoking and HbA1c according to smoking amount pack-year increased linearly in between less than 1 pack-year and over 30 pack-year (p<0.001). Muscular exercises affected the reduction of HbA1c (p<0.05). In the multiple regression analysis with independent variables of the socio-demographic characteristics and health behavior, factors affecting HbA1c were age, occupation and smoking amount pack-year (p<0.05). In the multiple regression analysis where the characteristics of physical examination were added, factors affecting HbA1c were age, occupation, smoking amount pack-year, waist circumference and total cholesterol (p<0.001). Conclusions: As a result, the health behavior that had the most effect on HbA1c management for male workers without diabetes was the total lifetime smoking amount. Therefore, it is essential to prevent smoking as well as control, cholesterol to prevent diabetes for male workers.