Purpose: This study was done to compare health risk behavior prevalence for youth living in metropolitan, medium sized and small cities or rural area, in order to enhance understanding regional differences. Methods: For this study, data from the 2006 Youth Health Risk Behavior Online Survey collected by the Korean Center for Disease Control were analyzed using SPSS. Results: In the metropolitan areas, prevalence for disease and perceived obesity were higher than in other areas. Lack of intense or moderate physical activity, obesity, fast food intake, and insufficient sleep showed higher prevalence than in rural areas. Prevalence of lifetime smoking, lifetime alcohol consumption, present alcohol use, fruit intake less than once a day, and not wearing a seat belt were higher in rural areas than in urban areas. Gender, smoking, and alcohol use were correlated. Spearman correlation between living with parent and skipping breakfast were significant. Smoking, alcohol use, and sexual behavior were correlated. Conclusion: As significant differences in prevalence of youth health risk behaviors exist between regional areas, health education and health promotion programs considering these differences have to be developed and implemented for adolescents. Programs for prevention of smoking and alcohol use, programs for improvement of fruit intake and safety are suggested for adolescents in rural areas, whereas programs to enhance physical activity and obesity management are suggested for adolescents in metropolitan areas.
Purpose: This study was done to identify the relationship between smoking, drinking and safety behavior in middle and high school students in one Korean province, North Cholla. Method: The study sample included 1,327 randomly selected middle and high school students from S-Gun area in Chonbuk Province. The data were collected using an anonymous questionnaire developed by the Ministry of Health and Welfare (2005). The data were analyzed using the SPSSWIN 15.0 program. Results: The smoking rate in the middle and high school students was 6.9%, and the drinking rate was 24.9%. The rate for seatbelt use was 49.3%, for drunk driving, 8.8%, and for riding in car driven by a drunk driver, 24.0%. The rates for seatbelt use, for drunk driving, and for riding in a drunk driver were higher in smokers and drinkers than in non-smokers and non-drinkers(p<.05). Conclusion: The smoking and drinking status of the adolescents was correlated with their safety behavior practices as they relate to seatbelt use, drunk driving, and for riding in car driven by a drunk driver. Therefore, an elementary school level program to curb student smoking and alcohol consumption is needed to prevent smoking and alcohol consumption in middle and high school students and contribute to improvement in their safety behavior practices.
알코올과 알코올 중독증을 문화적 면에서 연구하는 문헌이 있다. 하지만 사회 내부제도가 변화되면서 음주문화를 변화시킨 정부의 문화개입이 발생하였음에도 불구하고 음주행위나 알코올 중독증의 영향에 관한 연구는 거의 없다고 볼 수 있다. 이 문제는 본 연구의 주목적이다. 연구목적을 달성하기 위하여 연구사례로 몽골을 선정하였으며 몽골의 전통 음주문화 혹은 음주예절의 측정을 위해 몽골의 역사적 근원을 연구해서 1인당음주량, 알코올중독 관련 70년간의 인지도조사, 통계 등 다양한 연구자료에 의해 분석을 하였다. 각종 연구자료 분석 시 몽골의 청년 음주문화가 그들의 조상들이 엄숙하게 따르던 전통음주문화와 맥락부터 많이 변화된 것을 관찰할 수 있었다. 연구결과에 의하면 현대화 관련 음주문화 변화와 음주(소비)간에는 상관성이 있는 것으로 나타났다.
Objectives: The purpose of the study was to investigate the relationship between health behavior and oral symptoms in Korean adolescents. Methods: The subjects were 72,060 adolescents who were selected from the web-based survey of the 10th (2014) Korean Youth Risk Behavior of Korean Center for Disease Control. Data were analyzed by PASW statistics 18.0. A web-based self-reported questionnaire was completed by 74,167 middle and high school students. The subjects consisted of 36,470 boy students (52.2%) and 35,590 girl students (47.8%) from 400 middle schools and 400 high schools. Results: Multiple logistic regression analysis revealed that experience of oral symptoms were related with sex, age, academic achievement, economic status, alcohol drinking, moderate physical activity, muscular strength exercises, walking, fruit consumption, milk consumption, fast food consumption, snack consumption, daily tooth brushing frequency, use of fluoride toothpaste, school based oral health education, dental sealant and dental scaling. Conclusions: There were close relationship between heath behavior, oral health behavior, and experience of oral symptoms. To improve the health promotion for the adolescents, oral health program development and primary prevention strategy must be established.
Comprehensive review of the literature was conducted to determine 1) selected risk factors and its impact that affect pregnancy outcome such as smoking, alcohol consumption, and substance abuse 2) these factors can facilitate future strategies for health promotion and prevention for both pregnant women and fetus. Review of literature were extracted from searching MEDLINE(1966 - Oct. 2000). CINAHL (1982 - Oct. 2000) and the domestic literature. The following factors were identified: 1. The effects of risk behaviors on pregnancy. ${\cdot}$Maternal smoking was associated with the occurrence of premature or LBW delivery, fetal growth retardation, extremities defects, heart defects and sudden infant death syndrome. ${\cdot}$Maternal alcohol consumption was associated with spontaneous abortion, premature or LBW delivery, morphologic/neurologic problems, especially fetal alcohol syndrome. ${\cdot}$Heroin was associated with withdrawal after birth in which were born to heroine addicts for gestational age and lung maturation in animal studies. ${\cdot}$Cocaine was associated with spontaneous abortion, abruptio placenta and a poor response to environmental stimuli. ${\cdot}$So far, the effects of caffeine on pregnancy was controversial, but severe caffeine consumption was associated with premature or LBW delivery, spontaneous abortion, still birth and dystocia. 2. Intervention methods and its effects identified were as follows ${\cdot}$Conducted intervention for smoking, alcohol and drug consumption were single or combined. ${\cdot}$Intervention methods were counseling, phone contact, mailing, use of educational videotape, booklet, support person and alternatives such as nicotine patch. ${\cdot}$The interventions increased the rates of smoking cessation during pregnancy and awareness of the risk of drug consumption, and decreased amount of alcohol consumption. ${\cdot}$The intervention outcome found positive effect on birth weight and length. 3. Our recommendations were as follows ${\cdot}$The personal and social cognition should be enhanced through education and the mass media. ${\cdot}$It's necessary to educate and give information of preconceptional care, planned pregnancy and early prenatal care for optimal pregnancy outcome. ${\cdot}$It's necessary to develop comprehensive assessment tool which is reliable and valid on smoking, alcohol consumption and substance abuse to identify supportive or interventional program.
Lifestyle and dietary behavior intervention as the primary prevention of lipid disorder seems safe and compatible with other treatments of cardiovascular diseases. Cross-sectional associations between lifestyle factors and dietary behavioral factors with plasma lipid and lipoprotein levels were analyzed in 189 middle-aged men in Suwon, Korea. Overnight fasting plasma levels of total cholesterol, high-density lipoprotein(HDL)-cholesterol, triacylglycerol and glucose were analyzed. Blood pressure and anthropometric data were also measured. Lifestyle factors such as smoking status, alcohol consumption and frequency of physical exercise were evaluated by a self-administered questionnaire. Questions regarding dietary behavior were also asked. The subjects were 43.8%${\pm}$7.9 years old, and 23.8%${\pm}$2.6kg/m$^2$. From stepwise regression analyses, significant correlates with total cholesterol level were body mass index(BMI), alcohol intake(negative), age and coffee drinking(model R$^2$=14.3%). BMI, breakfast-skipping, age, and sleeping hours were significant for triacylglycerol level(model R$^2$=15.8%). BMI, alcohol drinking(negative), age, and coffee drinking were significant for low-density lipoprotein(LDL)(model R$^2$=11.7%). Age(negative), BMI(negative), alcohol drinking, stress level(negative), physical exercise, and cigarette smoking(negative) were significant for high-density lipoprotein(HDL)(model R$^2$=12.1%). From stepwise regression analyses, excluding BMI and age as factors in the model, alcohol intake(negative) and coffee drinking were significantly correlated with total cholesterol level(model R$^2$=4.4%) : breakfast-skipping with triacylglycerol(model R$^2$=3.2%) : alcohol intake (negative) with LDL level(model R$^2$=3.4%) : alcohol intake, physical exercise and stress level(negative) with HDL level(model R$^2$=6.3%). The findings suggest that a healthy daily lifestyle and dietary behavior may have an anti-atherogenic effect by altering plasma lipid and lipoprotein levels in middle-aged Korean men. (J Community Nutrition 2(2) : 119∼128, 2000)
Objectives: The aim of this study was to examine the current status of consumption of energy drinks among college students and investigate the effects of general environmental factors, health behavior factors, caffeine knowledge levels, and perceived stress levels on consumption of energy drinks. Methods: A survey was conducted among a total of 479 college students in Gwangju, using self-administered questionnaires. The questionnaire consisted of items about general environmental factors, health behavior, caffeine knowledge, perceived stress, and energy drink consumption behaviors. Results: 69.1% of participants experienced consumption of energy drinks, and specifically 82.8% of male students and 54.1% of female students experienced consumption of energy drinks (p<0.001). The reasons for drinking energy drinks were found to be recovery from fatigue, curiosity, taste, habit, thirst relief, and stress relief. In addition, 40.7% of participants experienced drinking energy drinks mixed with alcohol, and specifically 48.6% of male students and 27.4% of female students reported drinking energy drinks with alcohol (p<0.001). Moreover, 51.5% of participants responded that they experienced the effects of energy drinks, 31.9% reported experiencing adverse effects, and 41.1% were found to perceive the health risks. As a result of the assessment of caffeine knowledge, the participants showed a high level of knowledge of the arousal effect (77.7%) and the concentration increasing effect (70.8%) of caffeine, whereas they exhibited a low level of understanding of the health problems due to caffeine (32.6%) and adequate caffeine intake levels (24.4%). The higher levels of consumption experience of energy drinks was associated with higher body mass indexes (BMI) (p<0.01), higher academic years (p<0.01), lower levels of interest in health (p<0.05), smoking (p<0.001), alcohol consumption (p<0.05), and higher levels of perceived stress (p<0.05). Conclusions: The risk groups related to consumption of energy drinks among college students were identified as male students rather than female students, students in the third or fourth year of study associated with increased stress levels, and students with negative health behaviors. Therefore, support for diverse health and nutrition education for college students is required along with the improvement of internal and external environments of schools in order for college students to manage increased stress levels due to the schoolwork and preparation for employment and maintain positive health behaviors.
Purpose: The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the "variable importance." Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ2 tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results: The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. "Variable importance" for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion: Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.
Objectives: We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. Methods: Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals ${\geq}20$ years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. Results: In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>$30\;kg/m^2$). Conclusions: Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.
Objectives: The purpose of this study was to shed further light on the effect of modifiable health behavior risk factors on dependence in activities of daily living, defined in a multidimensional fashion. Methods: The study participants were 10,278 middle aged Americans in a longitudinal health study, the Health and Retirement Survey (HRS). A multi-stage probability sampling design incorporating the effect of population sizes (Metropolitan and non-metropolitan), ethnicity (the non- Hispanic White, the Hispanic, and the Black), and age (age 51-61) was utilized. Basic Activities of Daily Living (ADL) were measured using five activities necessary for survival (impairment in dressing, eating, bathing, sleeping, and moving across indoor spaces). Explanatory variables were four health behavior risk factors included smoking, exercise, Body Mass Index (BMI), and alcohol consumption. Results: Most participants at baseline were ADL independent (1992). 97.8% of participants were independent in all ADL's at baseline and 78.2% were married. Approximately 27.5% were current smokers at baseline, and the subjects reported moderate or heavy exercise were 74.8%. All demographic characteristics and behavioral risk factors were significantly associated with the ADL status at Wave 4 except alcohol consumption. Risk behaviors such as current smoking, sedentary life style and high BMI at Wave 1 were associated with ADL status deterioration; however, moderate alcohol consumption tended to be more related to better ADL status than abstaining at Wave 4. ADL status at Wave 1 was the strongest factor and the next was exercise and smoking affecting ADL status at Wave 4. People who were in ADL dependent at Wave 1 were 15.17 times more likely to be ADL dependent at Wave 4 than people who were in ADL independent at Wave 1. Concerning smoking cigarettes, people who kept only light exercise or sedentary life style at Wave 1 were 1.70 times more likely to be died at Wave 4 than the people who did not smoke at Wave 1. Conclusions: All demographics and health behaviors at wave 1 had consistently similar OR trends for ADL status to each other except alcohol consumption. Smoking and exercise in health behaviors, and age and gender in demographics at Wave 1 were significant factors associated with ADL group separation at Wave 4.
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