• 여성건강간호학회지
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• 제11권1호
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• pp.46-51
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• 2005

Purpose: The aim of this study was to identify risk factors for breast cancer and early screening behavior in women in the community. Method: The participants were 125 women residing in W city. Data was collected using an instrument developed by the researchers. Analysis was done using descriptive statistics, and the $x^2$ test. Result: For risk based on the Gail Model, age (above 50 years) had a distribution of 24.8%, first degree family history, 4.9%, age at first full term pregnancy, 13.8%, and benign breast cancer history, 4.9%. For risk based on other common risk factors, menopause had a distribution of 20.7%, did not breast feed, 15.4%, history of HRT, 7.3%, meat preference, 35.0%, and history of smoking or drinking, 2.4% and 43.5%, respectively. There was a significant difference in BSE and mammography screening behavior ($x^2=22.5$, p<.00), but no difference in distribution of risk factors and screening behavior. Conclusion: For effective prevention of breast cancer, it is necessary to develop an instrument for risk assessment and, through assessment, select women at high risk. It is also necessary to provide education and appropriate recommendations on screening behavior.

• Journal of Preventive Medicine and Public Health
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• 제45권1호
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• pp.37-46
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• 2012

Objectives: This study was performed to consider the association between Internet using time for non-educational purposes and adolescent health, and to examine how health status differs between Internet users and non-users. Methods: We analyzed 2009 data from the Korea Adolescent Risk Behavior Web-Based Survey, conducted on a nationally representative sample of students in grades 7 to 12. A total of 75 066 adolescents were categorized into four groups according to their Internet using time excluding using for educational purposes: non-Internet users (NIUs), occasional Internet users (OIUs) (<1 h/d), moderate Internet users (MIUs) (${\geq}1$ and <2 h/d), and heavy Internet users (HIUs) (${\geq}2$ h/d). Health factors included eight health risk behavior indices, four mental health indices and six physical health indices. Results: The distribution of Internet use was as follows: NIUs 17.4%, OIUs 68.1%, MIUs 12.7%, and HIUs 1.7%. In multivariate analysis, using OIUs as a reference, U- or J-shaped associations were observed for five health risk behavior indices (current smoking, current drinking, drug abuse, sexual intercourse, sedentary behavior on weekdays) and four mental health indices (stressed, depressed, suicidal ideation, attempted suicide) in both genders. After removing confounding effects, including age, region, school type, subjective school record, subjective economic status, presence of parents, living with family, and sedentary behavior, these associations were still observed. Conclusions: Health professionals should consider both Internet non-users (for non-educational purposes) and heavy users to be high-risk groups in terms of health status. Also, more well-designed studies are needed to clarify what factors are working in these nonlinear associations.

• 보건교육건강증진학회지
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• 제18권3호
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• pp.11-36
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• 2001

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey. Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. General characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, ‘not healthy’ and ‘healthy’ are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1) Analysis of self-perceived health status and health behavior by disease: Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, ‘cases of illness’ and ‘cases of no illness’ indicate that drinking, sleeping time, health examination are significant variables (p〈0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2) Analysis of disparity patterns between self-perceived health status and health examination: The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II: Self-perceived health status is high and actual health status is poor(have disease) Type III: Self-perceived health status is low and actual health status is good(no disease) Type IN: Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior. Type II, and III, compared to Type I, practise lower health promoting behavior. Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are general characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status. High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3) Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior: The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative risk ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV. Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.

• 한국산학기술학회논문지
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• 제19권8호
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• pp.303-311
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• 2018

본 연구는 심뇌혈관질환위험군의 구강건강인식과 구강건강행위가 심뇌혈관질환 예방행위에 미치는 영향을 파악하여 간호중재 프로그램의 기초자료로 제공하고자 한다. 자료수집은 전라남도에 소재한 2개의 종합병원 및 보건소, 보건진료소, 노인복지관에서 관리하고 있는 심뇌혈관질환위험군 131명을 대상으로 설문지를 통하여 조사하였다. 연구기간은 2018년 2월부터 3월까지 2개월간 시행되었다. 수집한 자료는 기술통계와 t-test, Pearson 상관분석, 단계적 다중회귀분석으로 분석하였다. 연구결과 심뇌혈관질환 예방행위는 치주질환인식인 주관적 구강건강상태(r=.261, p=.003), 구강건강의 중요성(r=.250, p=.004), 그리고 구강건강행위(r=.303, p<.001)와 양의 상관관계가 있었고, 심뇌혈관질환 예방행위에 영향을 미치는 요인은 구강건강행위(${\beta}=.29$, p<.001), 연령(${\beta}=.27$, p=.001), 주관적 구강건강상태(${\beta}=.24$, p=.003)로 나타났다. 즉, 구강건강행위가 높을수록, 연령이 높을수록, 주관적 구강건강상태가 좋을수록 심뇌혈관질환 예방행위의 점수가 높아진다고 할 수 있다. 이들 변수의 설명력은 19.3%이었다. 따라서 심뇌혈관질환위험군의 구강건강 수준을 향상시키기 위한 교육 및 중재프로그램 개발이 필요하며 구강건강 인식, 태도 및 행동과 구강건강상태 등에 관한 지속적인 추후연구가 필요할 것이다.

• 한국학교ㆍ지역보건교육학회지
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• 제14권2호
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• pp.1-14
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• 2013

Objectives: The purpose of this study was to identify the relationship of internet use time and health risk behaviors among adolescents and provide data to set up a strategy for preventing internet addiction. Methods: The data of the 2011 Youth Health Risk Behavior web-based Survey Collected by Korean Center for Disease Control was analyzed using t-test, ANOVA, Chi-square test for this study. Results: There were significant differences between boys and girls in internet use time. Boy's internet use time was different according to city size(F=13.20, p<.001), grade(F=35.85, p<.001), school record(F=298.95, p<.001), economic state(F=326.75, p<.001), living with parents(t=11.60, p<.001), father's education level(F=147.92, p<.001), and mother's education level(F=110.93, p<.001). Girls' internet use time was also different according to school grade(t=-8.68, p<.001), grade(F=61.03, p<.001), school record(F=233.32, p<.001), economic state(F=185.78, p<.001), living with parents(t=10.81, p<.001), father's education level(F=86.54, p<.001), and mother's education level(F=92.64, p<.001). Regarding the health risk behaviors, present smoking, present alcohol drink, drug use skipping breakfast, eating fast food, drinking soda, sexual behavior, suicidal attempt, engagement time in physical education classes, severe exercise, and sleeping satisfaction made differences in the internet use time. Conclusions: The results suggest that health risk behaviors are influenced by internet use time of adolescents. Thus, these results may be contribute to development of programs to prevent internet addiction.

• 식품보건융합연구
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• 제7권1호
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• pp.17-26
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• 2021

The purpose of this study was to develop strategies and policies for smoking prevention that are tailored to the characteristics of different groups of smokers. The structured survey was conducted with regular smokers. The results were as follows: It has been demonstrated that Risk Perception Attitude framework can be used as a major research framework to predict behavioral changes related to the prevention of smoking. The smokers were divided into four attitude groups based on perceived risks and self-efficacy: indifference, proactive, avoidance, and responsive. The smoker groups showed significant differences in information seeking, information avoidance, prevention behavior and addiction degree. Especially, the difference in prevention behavior depended on the self-efficacy when the perceived risk level was high. Information avoidance was the lowest when the perceived risk level was high and the self-efficacy was low. Information seeking was lowest when the perceived risk level was low. When the level of self-efficacy was high, if the perceived risk level was high, prevention behavior was actively performed. Therefore, the self-efficacy was related to preventive behavior, and the perceived low-risk played a role in hindering information seeking. Smoking prevention strategies are important to raise awareness of the risk of smoking and to improve the positive willingness of smokers to quit smoking through self-efficacy.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.246-254
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• 2021

본 연구는 간호대학생들의 신종 코로나바이러스감염증-19의 지식 및 위험지각과 예방적 건강행위의 관련성을 파악하기 위한 서술적 조사연구이다. A시 S대학교에 재학 중인 간호대학생 291명을 대상으로 구조화된 설문지로 2020년 8월 1일에서 8월 20일까지 설문조사하였고, SPSS WIN 18.0을 이용하여 Independent t-test, One-way ANOVA, Pearson correlation coefficients, Stepwise multiple regression으로 분석하였다. 연구결과, 대상자 나이, 주관적 성적수준에 따라 지식 차이가 나타났고, 학년에 따라 위험지각 차이가 나타났으며, 나이, 주관적 건강수준에 따라 예방적 건강행위 차이가 나타났다. 예방적 건강행위는 지식, 위험지각과 순상관관계를 보였다. 회귀분석 결과, 예방적 건강행위에 미치는 요인은 나이(β=.188, p<.01), 주관적 건강수준(β=-.245, p<.001), 지식(β=.254, p<.001), 위험지각(β=.191, p<.001), 총 설명력은 18.9%(F=17.904, p<.001)로 나타났다. 본 연구를 통해 간호대학생의 신종 코로나바이러스감염증-19의 예방적 건강행위를 증진시키기 위한 교육 프로그램에서는 나이, 주관적 건강수준, 지식, 위험지각에 대한 고려가 필요할 것으로 사료된다. 추후 간호대학생의 코로나바이러스감염증-19의 예방적 건강행위에 대한 이론적 모형을 검증하고 영향요인을 확인하는 연구가 필요하다.

• 한국학교보건학회지
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• 제10권2호
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• pp.213-239
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• 1997

In recent years, adolescent issues including smoking, drinking, drug abuse, juvenile delinquency, deviant sexual behavior, mental health problems, high suicide rate, misconducts and absence without due notice, etc are emerging as serious social problems and the debate on these controversial issues is heating up. Accordingly, the purpose of this study is to analyze factors which are changeable and fixable among the factors influencing the adolescent's health behavior and misconducts and, eventually influencing factors which can be used as the basis to establish health policies and health promotion program to reduce the health risk behavior and misconducts of adolescents. The smoking rates are 34.1% for male students of prep schools and 13.8% for females students of the same school and 55.7% for males, 31.8% for females of the vocational schools and 58.3% for males and 48.8% for females of social institutional schools, which showed the great diffence among the different types of schools and between sex. In particular, male students of social institutional school showed 1.7 times higher smoking rate than those of prep schools and in case of female students, 3.5 times higher rate. The time of initial smoking was most frequently during the middle school days for both males and females. In case of drug abuse, 5.4% of males and 2.7% females of general schools were using adhesives and inhalants which was 2.5 times higher for males and 6.3 times higher for females of social institutional schools. 41.8% of males and 30.3% of females of prep schools, 41.8% of males and 59.4% of females of vocational schools and 55.1% of males and 36.6% of females of social institutional schools have experienced kissing. Regarding the health promoting behavior and misconducts, female students practiced the health promoting behavior more than male students while male students showed higher rate of health risk behavior and misconducts than female students, which was statistically significant. The group of students who have not attended the health education class, in comparison to those who have attended, were more likely to practice health risk behavior and misconducts. Those with higher academic achievement was more likely to practice the health promoting behavior while those with poor academic achievement were more likely to practice health risk behavior and misconducts. As the perceived health status was higher and as students experienced less illness, the health promoting behavior was higher.

• International Journal of Human Ecology
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• 제17권1호
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• pp.27-37
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• 2016

This study was to understand associated factors with frequent exposure to Internet pornography among Korean adolescents. We used data (N = 45,783) from the 2012 Korea Youth Risk Behavior Web-based Survey to examine demographics, family environmental variables, Internet use time, mental health indicators, sexual behavior, and delinquency among Korean adolescents identified as frequent users of Internet pornography. Multiple logistic regression analysis revealed that frequent users of Internet pornography were more likely to be older males with differences in living arrangements and perceived economic status of the family. They were heavy Internet users with mental health issues, such as a higher likelihood of sadness, suicidal ideation, suicide attempts, high stress, and a lower likelihood of feeling happiness. Their higher probability of exploratory (OR =1.79-4.60), and high-risk sexual behavior (OR = 2.20-7.46), and other delinquencies (OR = 1.74-7.68) requires more attention from public health professionals.

• 근관절건강학회지
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• 제30권3호
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• pp.254-262
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• 2023

Purpose: This study was to determine the effect of Individualized education-counseling program on the performance of Health behavior and Cardiovascular risk after discharge inpatients with percutaneous coronary intervention. Methods: This study is a quasi-experimental study of the non-equivalence control group and the subjects of this study were patients who underwent percutaneous coronary intervention for coronary artery disease and had no complications due to severe arrhythmia or heart failure. The purpose of the study was explained to the subjects who met the selection conditions, and written consent was obtained, and 50 randomized experimental groups and 50 control groups were selected and assigned. Results: Compared to the control group, health behaviors were significantly higher after 1 week (F=33.63, p<.001) and 12 weeks (F=23.63, p<.001). The cardiovascular risk score based on Framingham risk score differed significantly depending on the measurement period (F=26.18, p<.001), there was no significant difference in the interaction between the two groups and the measurement period (F=0.72, p=.469). Conclusion: It was confirmed that the Individualized education counseling program provided to patients with Percutaneous coronary intervention was effective in increasing the subject's health behavior, but not in lowering the cardiovascular risk.