This study surveyed 57,303 teenagers using the 15th (2019) online Juvenile Health Behavior survey data to understand the relationship between oral health behavior, mental health, and smoking. The results of analyzing the factors affecting smoking experience are as follows: The smoking rate was higher in men (p<0.001), in a lower academic ability (p<0.001), and in moderate economic status was moderate (p<0.001). The smoking rate was higher in 2 or less brushing frequency (p<0.001), in no brushing before going to bed (p<0.001), in no brushing aftger lunch (p<0.001), in no experience of oral health education (p<0.001), and when the subjests felt unhealty in oral health (p<0.001). The smoking rate was significantly higher in those who experienced a lot of stress (p<0.001) and feelings of depression (p<0.001). The odds ratio for smoking was 1.44 when not brushing teeth before bedtime, 0.76 in experience of oral health education, and 1.29 in unhealthy subjective oral health. The odds ratio for smoking was 0.91 in no stress and 1.85 in depression. Since oral behavior and mental health affect smoking, intervening with these factors is necessary to quit smoking.
Objectives: This study aims to evaluate how the amount and duration of smoking effects the bleeding and pain of gingival among adolescents in Korea while also taking into consideration the impact of drinking. Methods: Data were utilized from a web-based survey of youth health behaviors conducted by the Korean Center for Disease Control and Prevention in 2016. The subjects of the study included 65,528 adolescents from middle and high schools. As dependent variables, bleeding and pain of gingival were used. Data were analyzed using the SPSS Version 20.0 program. Results: After adjusting for the general characteristics and oral health behaviors of the subjects, in the long-term, the ≥0.52 PY group (heavy smoker) experienced 1.28 times higher bleeding and pain of gingival than the <0.52 PY group (light smoker) among adolescents who smoke and drink at the same time. Adolescents who smoked without drinking did not show any difference on bleeding and pain of gingival according to the amount of smoking in the short- and long-term. However, the findings reveal that there was a difference on bleeding and pain of gingival according to tooth brushing frequency. Conclusions: In order to promote the periodontal health of adolescents, it is argued that programs and projects should be implemented to prevent, educate, and control simultaneous behaviors of smoking and drinking.
Objectives: More than half of youth smokers start to use cigarettes in their middle-school ages. Thus, middle school students should be the primary target population for smoking prevention education although the technical smoking rate is higher in high school students than in middle school students. Based on this significance, this study examined personal and social factors reinforcing non-smoking middle school students to acquire positive attitudes on smoking cigarettes. Methods: A total of 1,081 students of the 3 middle schools in Seoul participated in the self-administered survey. The designated schools were conveniently selected and all the 2nd-grade students of the schools participated in the survey. The questionnaire asked reinforcing social factors of smoking such as, family and parental history of drug use, close-people's smoking and drug use, personal experience of drug use, perceived smoking and drug use knowledge and attitudes, perceived smoking intention in future, and other delinquent behaviors. Results: Personal experience of drug and delinquent behaviors, perceived smoking intention in future, perceived knowledge of smoking, educational experience, and close-people's smoking and drug use were significantly related to students' attitudes on smoking. The significant factors affecting the positive attitudes of smoking were living with broken family and few education experience of smoking in school as social factors and strong smoking intention in future, high score of delinquent behavior, and low score of drug use knowledge as personal factors. Conclusions: Adolescents' strong smoking intention and little smoking education experience would primary personal and social factors reinforcing positive attitudes on smoking. Thus, school-based educational programs preventing smoking intention need to be developed and to be delivered to middle school students to minimize the future smoking population in a long-term perspective.
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.
Park, Jung-Han;Lee, Sang-Won;Lim, Hyun-Sul;Lee, Jong-Tae;Kang, Yune-Sik;Park, Soon-Woo
Journal of Preventive Medicine and Public Health
/
제37권3호
/
pp.238-245
/
2004
Objectives : This study was conducted to examine the smoking behaviors and the relationship between smoking and other health behaviors among medical students. Methods : A self-administrated questionnaire was administered to a sample of 1,775 students from four medical schools between April and May 2003. Due to the small number of female smokers, the characteristics of smoking behaviors were analyzed only for males. Results : A total of 1,367 students (920 males and 447 females) completed the questionnaires, with an overall response rate of 77.7%. The smoking rates for males and females were 31.5, and 2.2%, respectively. Among the male smokers, 70.7% smoked daily, and 39.0% smoked one pack or more per day. Male students on medical course were more likely to smoke daily, and one pack or more per day, than those on premedical course. Male daily smokers desired to quit smoking less than occasional smokers, and 65.0% of male daily smokers were not ready to quit compared with 37.8% of the occasional smokers. Among the male daily smokers, 29.6% were severely nicotine dependent. The most common reason for not to quit smoking among male smokers was 'no alternative stress coping method' (44.4%), followed by 'lack of will power' (25.4%), and 'no need to quit' (19.4%). Compared with male non-smokers, male smokers were more likely to drink alcohol more often and in larger amounts, take coffee more often, eat breakfast less regularly, and be overweight or obese. Conclusions : The results of this study suggest that many male medical students were serious smokers, especially those on medical course. It is necessary to install a smoking prevention program for pre-medical students, provide effective smoking cessation methods for smokers, teach positive stress coping methods, and make the school environment suitable for coping with stress.
Objectives: To obtain a more intensive understanding smoking behaviors of young adolescent in the contexts of schools which they attend, this study examined the effects of individual and school level factors divided into psychological and social factors respectively. Methods: Multilevel logistic regression analysis was used to test the effects of school smoking rates on 1 year smoking experience of individual pupils in a sample of 3,449 students from 100 middle schools in Korea. Results: The results of multilevel analysis revealed the importance of social factors in three environments. Especially the social factors in school level, which were sense of school membership and school smoking rate, explained the variances between groups dropping the school effect from 0.194 to 0.046. Conclusion: This study suggests that adolescents' smoking behaviors are related to the multi dimensional and multi level factors. To reduce young adults' smoking rate, school level intervention should not be ignored.
Purpose: This study identified socioeconomic factors affecting the health status of Korean adults. Methods: Secondary data from 12,921 adults aged 19 to 64 old in the 7th Korean National Health and Nutrition Examination Survey were used. The participants' health status was measured using the indicators that included health behaviors (smoking, high-risk drinking, strength exercise, and aerobic physical activity) and health outcomes (metabolic syndrome, and subjective health status). Results: For all health behaviors and health outcomes, gender, age, educational level, and income were common affecting factors. Regarding health behaviors, the employment status was related to smoking, high-risk drinking, strength exercise, and aerobic physical activity. The marital status was related to high-risk drinking, strength exercise, and aerobic physical activity. The household type was related to smoking. The residential area was related to smoking, high-risk drinking, and aerobic physical activity. For health outcomes, the household type was related to obesity, and subjective health status; residential area was related to obesity. Conclusion: This study presented basic data for assessing the differences in health status. The characteristics of the affecting factors to health status should be considered, depending on the health behaviors and health outcomes.
Harmful environment around school area have been increased with socio-economic development in Korea. Those entertainment facilities have caused a negative effect on the learning environment in many schools. As a result of increased entertainment harmful facilities in school area, the numbers of deviant behaviors such as drinking, smoking, substance abuse and sexual activity among junior high school students have been significantly increased. Given this situation, the aim of this study was to describe the distribution of the facilities; to access applied(experience) of the facilities according to students demographic variables; and to identify the relationship between use of the facilities and students risk health behaviors such as smoking, drinking, substance abuse and sexual activity. The field theory was used to study the relationship between the use of the facilities and risk health behaviors among students. A self-administered questionnaire survey was conducted in Korea. 2,114 junior and senior high school students(middle and high school students) were recruited by the method of proportional stratified random sampling from June to July 2000. Results indicated that: 1) The rates of using game centers, PC rooms, Song rooms and comic rooms were 78.3%, 75.6%, 71.6%, and 34.3% respectively. 2) High school students visited the entertainment facilities significantly more than middle school students(p〈0.001). 3) The rates of using facilities near schools were significantly associated with parents job(p〈0.05). 4) The rates of drinking, smoking, drug abuse, and sexual activity were 21.6%, 11.9%, 4.3% and 1.6% respectively. 5) Risk health behaviors such as smoking(p〈0.001) and drinking(p〈0.001), amount of smoking and drinking(p〈0.001) and sexual activity(p〈0.05) were associated with the experience of using the facilities. Those who had drinking experience were more likely to go the facilities than those without drinking experience. Also, those who were smoker had higher probability of going using the facilities than non-smokers.
Hong, Nam Soo;Kim, Keon-Yeop;Park, Soon-Woo;Kim, Jong-Yeon;Bae, Ji-Suk;Lee, Won-Kee;Kim, Ki-Su
Journal of Preventive Medicine and Public Health
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제44권4호
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pp.176-184
/
2011
Objectives: Understanding recent trends in cigarette smoking among adolescents is important in order to develop strategies to prevent cigarette smoking. The aim of this study was to compare recent trends in cigarette smoking for adolescents living in rural areas, small towns and metropolitan cities in Korea. Methods: The raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Logistic regression models were used to evaluate significant linear time trends in cigarette smoking. The indicators of cigarette use behaviors were 'current smoking rate', 'frequent smoking rate', 'heavy smoking rate' and 'smoking experience rate before 13 years of age'. All analyses were conducted according to gender. Results: Statistically significant increasing trends in current smoking rate and frequent smoking rate were observed and borderline significant increasing trends in heavy smoking rate were shown among rural boys. Among metropolitan city boys, statistically significant increasing trends were also seen for frequent smoking. Statistically significant decreasing trends in current smoking rate were observed among small town and metropolitan city girls. Smoking experience rate before 13 years of age for rural girls decreased significantly. Conclusions: Cigarette smoking prevalence among adolescents in the rural areas has increased in the last five years especially among boys. Our findings suggest that anti-tobacco program for adolescents should be conducted primarily for those in rural areas.
Objectives: Previous observations propose that risk-taking behaviors such as cigarette smoking are prevailing among young people with chronic conditions including diabetes. The purpose of this study was to examine whether cigarette smoking is more prevalent among diabetics than non-diabetics and whether it differs by age at the time of diagnosis with diabetes from young adulthood (YAH) to adulthood (AH). Methods: We used US panel data from the National Longitudinal Study of Adolescent Health (Add Health Study) during the years 2001 to 2002 (Wave III, YAH) and 2007 to 2008 (Wave IV, AH). Multivariate logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of cigarette use behaviors according to age at the time of diagnosis with diabetes, after adjusting for demographic and selected behavioral factors. Results: Of 12 175 study participants, 2.6% reported having been diagnosed with diabetes up to AH. Early-onset diabetics (age at diagnosis <13 years) were more likely than non-diabetics to report frequent cigarette smoking (smoking on ${\geq}20$ days during the previous 30 days) in YAH (OR, 3.34; 95% CI, 1.27 to 8.79). On the other hand, late-onset diabetics (age at diagnosis ${\geq}13$ years) were more likely than non-diabetics to report heavy cigarette smoking (smoking ${\geq}10$ cigarettes per day during the previous 30 days) in AH (OR, 1.54; 95% CI, 1.03 to 2.30). Conclusions: The current study indicated that diabetics are more likely than non-diabetics to smoke cigarettes frequently and heavily in YAH and AH. Effective smoking prevention and cessation programs uniquely focused on diabetics need to be designed and implemented.
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