Background: The influence of smoking on nonsyndromic clefts has been a topic of research for many years. However, few studies have investigated the effect of smoking on causing clefts in different gene pools. Methods: A meta-analysis was conducted of case-control studies related to smoking. Keywords such as "clefts," "cleft lip," "cleft palate," "orofacial cleft," and "smoking" were used to search the MEDLINE, Embase, and Cochrane databases. Results: In total, 51 articles were reviewed. The RevMan software was utilized for the analysis, and the Mantel-Haenszel method was employed to pool the odds ratios (ORs) and 95% confidence intervals. Although the overall OR, a measure of the association between exposure and outcome, was higher for smokers than for non-smokers, this association was significantly stronger in individuals from Asia and South America (1.73), and lowest in Europe (1.31). Among active and passive smokers in Asia, the OR was approximately 0.93, indicating an equivalent impact from both types of smoking. Conclusion: This analysis indirectly suggests that restriction measures targeting both active and passive smoking are crucial in Asia.
Journal of the Korea Academia-Industrial cooperation Society
/
v.20
no.11
/
pp.446-457
/
2019
The purpose of this study was to analyze the association between family members and adolescent boys smoking. The data were evaluated by frequency analysis, 𝑥2 test and logistic regression analysis using 27,276 people who responded to the 14th(2018) Korean Youth Risk Behavior Survey. Among male students, the nonsmoking rate was 91.5% and the smoking rate was 8.5%(2.5% of occasional smoking and 6.0% of frequent smoking). The study results showed that the smoking status of male students was varied significantly according to the number of smokers among the family members(p<0.001). Meanwhile, smoking based on the characteristics of socio-demographic factors was affected by grades, school records, economic status, and parents' educational background(p<0.001). Smoking by health factors showed a significant difference in alcohol consumption, suicidal thoughts, depression experiences, stress recognition, frequency of breakfast consumption, level of fatigue after sleep, and subjective perception of health(p<0.001). Male smokers were more likely to smoke when two family members smoked than only one(p<0.001). These results confirmed that smoking in boys was affected by the smoking status of family members and suggested that the smoking cessation program of family smokers can be effective in designing smoking cessation prevention and smoking cessation projects.
Background: Smoking and smokeless tobacco use are almost always initiated and established during adolescence. More than 80% of adult smokers begin smoking before 18 years of age. The main objective of the present study is to assess the feasibility of preventing adolescent tobacco use with the help of a specially designed tobacco control program. Materials and Methods: A cross sectional survey on tobacco use and related health effects was conducted using a structured questionnaire in 13 randomly selected schools in Kannur district of Kerala. These students were followed for a period of one academic year with multiple spaced interventions such as anti-tobacco awareness classes, formation of anti-tobacco task forces, inter-school competitions, supplying IEC (information, education and communication) materials and providing a handbook on tobacco control for school personnel. Final evaluation was at the end of one year. Results: There were 4,144 school children who participated in the first phase of the study. The prevalence of tobacco smoking and chewing habits were 9.85% and 2.24% respectively. Ninety-one percent had parental advice against tobacco use and only 3.79% expressed desire for future tobacco use. The final evaluation witnessed a sharp decline in the current tobacco use as 4.68%. We observed a statistically significant difference towards the future use of tobacco (p<0.001) and awareness about the ill effects of passive smoking (p<0.001) among boys and girls. Further a significantly increased knowledge was observed among boys compared to girls about tobacco and oral cancer (p=0.046). Conclusions: The comprehensive school based tobacco control project significantly reduced the tobacco use pattern in the target population. School tobacco projects incorporating frequent follow ups and multiple interventions appear more effective than projects with single intervention.
This study was conducted on the basis of the Theory of Planned Behavior to analyze factors affecting intentions for health behaviors defined as non smoking, moderate drinking and exercise in male office workers. The participants of this study consisted of 230 male office workers of 10 workplaces located in Seoul. The results of this study can be summarized as follows: 1. Non smoking For smokers. perceived behavioral control, subjective norm and attitude were factors affecting on intention for non smoking, and these factors explained 29% of the total variance of non smoking intention. 2. Moderate drinking For drinkers, subjective norm, perceived behavioral control and attitude were factors affecting on intention for moderate drinking. and these factors explained 5% of the total variance of moderate drinking intention. 3. Exercise For those who exercise irregularly or don't exercise, perceived behavioral control, subjective norm and attitude were factors affecting on intention for exercise, and these factors explained 26% of the total variance of exercise intention. 4. Health Behaviors For all participants, perceived behavioral control, subjective norm and attitude were factors affecting on intention for health behaviors, and these factors explained 34% of the total variance of intention for overall health behaviors. And health behavior intention affected practice of health behaviors, but perceived behavioral control didn't.
The purpose of this study was to be useful in working out plans for improving national health by identifying public workers' knowledge of and attitude to smoking, actual conditions of smoking within nonsmoking areas, and related factors. For the purpose, the questionnaire was carried out with 761 public officials of the division manager-level and lower working in Taegu Metropolitan City Hall in september, 1998. The results are summarized as follows; Smokers of the subject group accounted for 55.1%, and the smoking rate had a significant relation with age and religion. In view of the time when smokers started smoking, smokers who started smoking after graduation from a high school accounted for 70.6%. Smokers who smoke one pack of cigarettes per day and a cigarette to its two-thirds length was the most. In the smoking place of smokers at home, 54.9% of the smokers responded that they smoke in an outdoor space The rate of smoking in an office was 68.3% and the rate of smoking within the nonsmoking areas of other public institutions was 43.0%. The results of multiple regression analysis with the actual state of smoking within the nonsmoking area of other public institutions as an independent variable revealed that smokers who check for a nonsmoking area before smoking in the public institutions and who do not smoke in an office do not smoke within the nonsmoking areas of other public institutions. In conclusion, more smoking and health education for public workers is needed to reduce the rate of national smoking and allow people to have a good smoking attitude, and it is required to arrange an institutional system who can strictly control public workers' smoking in their offices or public places and to stress a function of surveillance and monitoring by nonsmokers.
The purpose of this study was to investigate the effects of smoking and/or alcohol drinking on the nutrient intake, nutritional status, and eating habits of adult males. The subjects were 157 male adults aged 20-49 living in Daejon. Interviews with questionaire on smoking and alcohol drinking habits and eating habits, anthropometric measurement, biochemical blood test, and dietary assessment by one-day 24 hour recall and two-day diet record were carried out. The subjects were divided into four groups : control (non-smoking and non-drinking), drinking only, smoking only, and the both(drinking and smoking). The average numbers of smoked cigarettes were 17.8/d and 19.1/d in the smoking only group and the both group, respectively. The frequency of alcohol drinking was 8.3 times/month and 11.6 times/month in the drinking only group and the both group, respectively. Height was significantly higher(P 0.05) in the drinking only group than in the none and smoking only groups, while the other anthropometric indices were not different among the four groups. There were positive correlations between smoking and drinking or coffee intake. Alcohol drinking increased eating-out frequency and the intakes of energy, protein, dietary fiber, vitamin A, B$_1$,$ B_6,$ Fe and P, while smoking decreased snack frequency and intakes of energy, protein and vitamin $ B_6,$. Blood pressure was not changed in the smoking only and drinking only groups compared to the none group, while systolic blood pressure was elevated in both group(P 0.05). Alcohol drinking significantly elevated(P 0.05) serum total cholesterol and LDL-cholestrol level, while smoking did not change the serum lipid and cholesterol levels. Hemoglobin nd MCHC levels were significantly elevated(P 0.05) by smoking. From these data, it is suggested that both smoking and drinking have influence on some eating habits and nutrient intakes, and especially alcohol drinking can induce hypercholesterolemia.
Purpose: The purpose of this research was to find out tobacco control education taught graduate, baccalaureate and associate degree-nursing programs in Korea. Method: A valid and reliable questionnaire previously used to assess tobacco use in medical and nursing schools in the United States was translated and revalidated. Surveys were sent out to all the graduate, baccalaureate and associate nursing programs in Korea. All 6-tobacco curricula content areas recommended by the United States National Cancer Institute and the Agency for Health Care Policy and Research was included. Result: Majority of BSN (93.2%-75%) and AD (92.3%-64.1%) programs were teaching health hazards, cancer risk, health effects of tobacco, effects of ETS, contents of cigarette, withdrawal symptoms and high risk groups of smoking as a part of required courses. However, 87.5% (14/16) of graduate, 50.0% (22/44) in baccalaureate, 53.8% (21/39) in associate degree programs were not teaching about the 5 A's. Of those who reported teaching smoking cessation strategies, they were covered most frequently in Community Nursing (50%), Adult Health Nursing (43.8%) on the graduate level, and in Community Nursing (65.9%-BSN, 76.9%-AD) and Adult Health (54.5%-BSN, 74.4%-AD) on the undergraduate level. 31.1% (5/16) in Graduate, 18.2%(8/44) in BSN, 10.3% (4/39) in Associate Degree programs reported that there are no smoking students in their schools and rest of the schools reported either do not know or they have 1 to more than 21% of students smoking. Conclusion: The study results identifies the quantity and level of tobacco control content in three different nursing programs and will help in developing curricular guidelines in the future. Further survey needs to be done on nursing students' knowledge, attitude and belief on smoking and smoking cessation.
Objectives: This study was performed to develop a smoking prevention program for Korean high school students, and to evaluate the effects of the program. Methods: A smoking prevention program, composed of five-session curriculum, was developed by modifying several smoking prevention and cessation programs based on the Social Influence Model. The program was applied to the freshmen of a technical high school. We surveyed with a questionnaire one week before education, one week after education, and two months after education. The number of participants for data analysis were 282(181 males, 101 females). Among those, 162(97 males, 65 females) students were allocated to the education group, and the other 120(84 males, 36 females) students were allocated to the control group. The effect of education was analyzed by multiple logistic regression analysis adjusted by potential confounders. Results: Among smokers, those who had education were more likely to quit smoking (OR=2.99, 95% confidence interval(CI) 0.84-10.64), and to decrease smoking frequency(OR=2.29, 95% CI 0.95-5.53) in borderline significance one week after education. However, the effect of education disappeared two months after education. The effect of education was significant(OR=9.11, 95% CI 3.22-25.76) for the increase of smoking cessation intention one week after education, and it persisted until two months after education(OR=2.94, 95% CI 1.18-7.35). Education was also a significant predictor(OR=1.97, 95% CI 0.89-4.37) for the increase of smoking cessation stage one week after education and it persisted(OR=6.39, 95% CI 2.42-16.86) after two months. Among non-smokers, those who had education were more likely to decrease smoking intention one week after education(OR=4.71, 95% CI 1.63-13.58). However, the statistical significance of education disappeared two months after education. Conclusions: The results showed that the smoking prevention program developed in this study changed smoking behaviors immdeiately after education even though the effect did not persist. However, this program was successful in increasing smoking cessation intention and stage of smoking cessation among smokers.
Objectives: While many studies have been conducted on whether smoking scenes in films actually affect audience members' smoking, a comprehensive conclusion has yet to be derived. This study systematically reviewed the effect of smoking scenes in films on audience members' attitudes, beliefs, and actions. Methods: We analyzed a total of 146 studies searched on PubMed and PsycINFO (41 qualitative studies, 72 cross-sectional studies, 20 longitudinal studies, and 13 experimental studies). Results: Whereas qualitative studies have only demonstrated that audience members tend to perceive smoking scenes in films not as negative information but as positive information, cross-sectional studies have reported a significant association between smoking scenes and smoking behavior notwithstanding the problems of classifying the groups studied and measuring the degree of exposure. Through follow-up observations, longitudinal studies have reported that such media exposure can serve as a predictor of future smoking. Finally, with exposure and confounding variables under control, experimental studies have confirmed that smoking scenes in films indeed affect audience members' attitudes, beliefs, and actions regarding smoking. Conclusions: Scenes of actors and actresses smoking can be imitated or learned through audience members' immersion and identification and reproduce positive images that may render smoking socially acceptable.
Objectives: This study was performed to investigate trends of smoking characteristics and to identify the relationship between smoking characteristics and obesity among military personnel in Korea. Methods: The study participants were 50,680 military personnel who participated smoking cessation clinic from January in 2009 to December in 2017(excluded in 2011). Obesity was defined as body mass index${\geq}25kg/m2$. Smoking characteristics was included cigarettes of smoked per day, age of initial smoking, smoking duration, and nicotine dependence. Binominal logistic regression analysis was performed to confirm the relationship of smoking and obesity among military personnel. Results: The prevalence of obesity of study subjects was 20.4%. The military personnel were more likely to be obese if they who smoked more than 20 cigarettes per day(adjusted OR 2.271, CI 2.027-2.545), who smoked for more than 10 years(adjusted OR 2.046, CI 1.820-2.299), and who smoked their initial smoking at later than 20 years(adjusted OR 1.357, CI 1.223-1.493). Conclusions: Obesity is closely related to cigarettes of smoked per day, age of initial smoking and smoking duration among military personnel. Thus, intervention included both smoking cessation and weight control are necessary for smokers with obese who are interested in losing weight among military personnel.
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