• Journal of the Korean Society of School Health
• /
• v.34 no.3
• /
• pp.190-199
• /
• 2021

Purpose: The study aims to identify factors that influence university students' compliance with infection prevention behaviors in the early stage of COVID-19. Methods: A survey was conducted online from July 29 to August 2, 2020, involving 261 students enrolled in general universities. Frequency analysis, descriptive statistics, t-test, ANOVA, correlation, and multiple regression analysis were carried out on the collected data using SPSS 24.0. Results: The average score of university students' risk perception of COVID-19 was 3.80, while the average score of health risk communication was 3.92. The average score of efficacy beliefs was 4.42 and the average score of practicing infection prevention behaviors was 4.54. Factors influencing the level of infection prevention behaviors were efficacy of preventive behaviors (β=.48 p<.001), health risk communication (β=.16, p=.003), subjective health status (β=.12, p=.015), and the type of college (β=.11, p=.041). Conclusion: In order to improve college students' infection prevention behaviors related to COVID-19, consideration should be given to providing interventions that focus on accurate knowledge and dissemination of accurate information about new infectious diseases and effectiveness of infection preventive behaviors.

• Journal of Korean Academic Society of Home Health Care Nursing
• /
• v.30 no.1
• /
• pp.96-104
• /
• 2023

Purpose: This study aimed to investigate the influence of fall risk, fear of falling, and social support on older inpatients' fall prevention behaviors. Methods: The participants were 105 older inpatients. Data were analyzed using descriptive statistics, independent t-test, One-way ANOVA, Pearson's correlation coefficients, and multiple regression analysis using the SPSS program. Results: The mean fall risk, fear of falling, social support, and all prevention behaviors were 58.05±28.27, 2.47±0.67, 3.58±0.63, and 2.93±0.48, respectively. There were significant differences in fall prevention behaviors by sex, and fall related to education experience. Fall prevention behaviors were associated with fall risk, and fear of falling. The factors influencing the fall prevention behaviors of the older inpatients were sex, fall related to educational experience, fall risk, and fear of falling. It was found that 21% could explain fall prevention behaviors. Conclusion: The results indicate a need to develop a fall prevention education program, including intervention, to reduce the fear of falling among older inpatients.

• Journal of muscle and joint health
• /
• v.22 no.2
• /
• pp.130-137
• /
• 2015

Purpose: This study aims to establish a theoretical framework for the fall prevention behavior improvement program by verifying the associations between fracture risk, fall risk perception, and fall prevention behaviors in women with osteoporosis. Methods: A survey was conducted in 122 women who were diagnosed as osteoporosis by having T-score of the femur bone density below -2.5 standard deviation from the bone density examination performed in 2 orthopedic clinics located in B metropolitan city between July 2014 and September 2014. The risk of fracture, level of fall risk perception, and fall prevention behaviors were measured. Results: Fall risk perception had a complete mediating effect on the relationship between the fracture risk and fall prevention behaviors in women with osteoporosis. Conclusion: The perception of fall risk is important to enhance fall prevention behaviors in women with osteoporosis, and the development of various education programs to improve awareness of fall risk is needed.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.12 no.3
• /
• pp.413-420
• /
• 2005

Purpose: The purpose of this study is to identify health risk behaviors in adolescents according to grade in school and to of for basic data to develop a health promotion for adolescents. Methods: A descriptive survey design was used and the SPSS 12.0 program was used for the data analysis, which included Chi-square test and Spearman correlation coefficients. The instrument for this study was based on the 1999 Youth Risk Behavior Surveillance System developed by the Centers for Disease Control and Prevention. Results: The results indicate that adolescent have an average of 2 risk behaviors out of 10 health risk behaviors categories. There are various types of risk behaviors, which art: different for each grade, such as physical fights, using alcohol, using heroin, weight control, and the lack of AIDS education. Physical fights, and the lack of AIDS education are common in the 9th grade, using alcohol, heroin, and weight control are common in the 11th grade. Physical fights were correlated with using cigarettes and sexual intercourses. Using alcohol was correlated with using cigarettes, heroin, sexual intercourses and weight controls. Using heroin was correlated with sexual intercourse and weight control. Conclusion: For the promotion of health in adolescents, different approaches to health education and prevention of health risk are needed for each grade because the health risk behaviors differ between grades.

• Korean Journal of Health Education and Promotion
• /
• v.22 no.4
• /
• pp.137-154
• /
• 2005

Objectives: This study aims to examine the positive effects of developmental assets on the prevention of health risk behaviors among Korean adolescents. The framework of developmental assets was introduced as building blocks for healthy child and adolescent development by Benson and his colleagues. These assets represent positive external environmental factors and internal personal qualities which strongly influence the quality of life of adolescents. Methods: In 2001, we administered self-reported questionnaires to 3,739 girls and boys in grade 9 at eight schools in two cities, Chinju and Suwon in South Korea. The data was compiled into a 'Korean Youth Health Related Behaviors and Developmental Assets Survey' and then analyzed Youth health risk behaviors, which we measured in terms of their frequency, included tobacco, alcohol, and substance use, sexual intercourse, anti-social behaviors, violence, feelings of social isolation at school, depression or attempted suicide, absenteeism from school, gambling. Results: Overall, with respect to developmental assets, the Korean adolescents surveyed only 12.6 of the 40 assets, and 88 percent of adolescents had 20 or fewer of the assets. Based on their number of developmental assets(DA), adolescents were categorized into four groups: Group I(DA 0-10): Group II(DA 11-20): Group III(DA 21-30): Group IV(DA 31-40). We examined the differences in the frequency of each health risk behavior across the four groups, Group I-IV, and found that the frequency of most health risk behaviors decreased as the number of developmental assets increased. Conclusion: We therefore concluded that in order to make effective approaches for the prevention of health risk behaviors among adolescents, we should consider and develop more comprehensive and adolescents-based policy and programs to promote various aspects of adolescents' health and quality of life.

• Journal of the Korean Society of School Health
• /
• v.20 no.1
• /
• pp.11-24
• /
• 2007

Purpose : Health Risk behaviors are a leading cause of preventable morbidity and mortality. Adolescents is a critical transitional period for establishing health behavior for healthy life. The purpose of this study was to describe the types and frequency of the health risk behaviors being performed by middle school students, examine the gender and grade differences of health risk behaviors, and identify the relationship among health risk behaviors. Methods : A total of 1952 early adolescents recruited from 7 middle schools in a district of urban setting completed questionnaires. Youth Risk Behavior Survey-Middle school questionnaires was used to identify the types of health risk behaviors among early adolescents. Data were analyzed by descriptive statistics and Chi-Square test using SAS program . Results : The results showed the frequency for most health risk behaviors and increased with advancing grade level. Males were more likely than females to behaviors related to smoking and violence, whereas females were more likely than males to have suicidal thoughts, be physical inactive and attempt to lose weight. Among health risk behaviors, the relationship of alcohol experience, smoking, and suicide was high. Conclusion : The findings identify a high risk target group among middle school adolescents and suggest that preventive intervention strategies should take into consideration the types with gender and grade, and provided the evidence that one of health risk behaviors may induce the other health risk behaviors.

• Research in Community and Public Health Nursing
• /
• v.20 no.3
• /
• pp.296-306
• /
• 2009

Purpose: This study was to identify variables influencing health risk behaviors in adolescents on the basis of the PRECEDE model. Methods: Data were collected from 434 middle school students in Chungbuk Province for two weeks in July 2008. The instrument for this study was a self-reported questionnaire. The SPSS/WIN 12.0 program was used for data analysis, which included t-test, one way ANOVA, Scheffe's test, Pearson's correlation coefficients, and stepwise multiple regression analysis. Results: Adolescents' level of health risk behaviors ($47.32{\pm}7.98$) was below medium. Physical inactivity ($6.73{\pm}2.23$) and Internet addictive behavior ($6.36{\pm}2.11$) were major health risk behaviors. The perceived level of school health education ($30.74{\pm}9.84$) was low. Family function and general self efficacy explained 14.3% of variance in health risk behaviors. Family function was a major predictor of health risk behaviors ($R^2$=.108, p=.000). However, the perceived level of school health education was not a significant predictor of health risk behaviors. Conclusion: For the prevention of health risk behaviors in adolescents, it is necessary that the family and the school collaborate with each other in educational strategies in order to strengthen influential factors such as family function and general self-efficacy.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.29 no.1
• /
• pp.31-60
• /
• 2023

Purpose: This study explored the influencing factors on suicide-related behaviors (ideation, plans, and attempts) focusing on mental health problems (anxiety, depression, and loneliness) among Korean adolescents. Methods: A secondary analysis was conducted with data from the 16th Korean Youth Health Behavior Survey collected from in 2020 by the Korea Centers for Disease Control and Prevention. Chi-square tests and multivariate logistic regression analyses were performed. Results: After the adjustment of demographic characteristics and health risk behaviors, the influences of mental health problems on suicidal ideation, plans, and attempts showed the anxiety odds ratio (OR) for severe anxiety vs. minimal (OR 4.65, 4.67, and 3.75), depression (OR 4.27, 3.69, and 4.49), loneliness (OR 2.18, 1.96, and 1.96). Health risk behaviors (violence experience, drug use, stress, smoking, and drinking alcohol) and demographic variables (gender, school record, and socioeconomic status) were also significantly associated with suicide-related behaviors. Conclusion: Anxiety, depression, and loneliness were strong predictors of suicide-related behaviors. Early detection of suicide risks through screening for comprehensive mental health problems was recommended. Suicide prevention that considers the risk factors, including mental health problems and other risk factors, needs to be developed and implemented to reduce suicide risks among adolescents.

• Research in Community and Public Health Nursing
• /
• v.17 no.3
• /
• pp.387-396
• /
• 2006

Purpose: This cross-sectional study was conducted to investigate the prevalence of health risk behaviors by gender and grade and to examine the correlation between health risk behaviors and self-efficacy in early adolescents. Method: The sample of this study consisted of 1.693 early adolescents recruited from 7 middle schools in S-Gu, Seoul, Korea. Health risk behaviors were measured by the Youth Risk Behavior Surveillance Survey (YRBS). Self-Efficacy was assessed by General Self-Efficacy (GSE). Results: About a third of the subjects had experience in drinking behavior about 19.4% in cigarette smoking (including cases of just one or two puffs), 25.9% in physical fight, 29.1% in thought about killing themselves (suicide-related behavior), 1.5% in drug. More than a half (60.5%) experienced at least one health risk behavior. Female students were more likely to report drinking experience and suicide-related experience. Health risk behaviors were not significantly correlated with self-efficacy in early adolescents. Conclusions: Many early adolescents had experience in health risk behaviors in the past. The findings of this research suggest the necessity of intensive prevention programs in middle school to motivate and prepare students to avoid these behaviors. In addition, these results may help health professionals plan appropriate screening and counselling for health problems in early adolescents.

• Korean Journal of Health Education and Promotion
• /
• v.21 no.3
• /
• pp.117-131
• /
• 2004

Purpose: This study was conducted to evaluate the health behaviors and to find out risk factors of blood pressure of adult women in a rural area. Method: The convenient sample consisted of 159 adult women who lived in G-gun. The data was collected using a self-report questionnaire for health behaviors and mercury type sphygmomanometer for BP, between Jun I and August 15, 2003. Health behaviors measured smoking, alcohol, salt, lipid, stress, exercise, coffee, BMI and medication. To accomplish the goal of study, descriptive statistics, t-test, $x^2$-test, ANOVA and multiple regression analysis were. performed with SPSS 10.0. Results: The average age of subjects was 49.2(SD7.34)years old. The average SBP and DBP of subjects were 126.22mmHg(SDl6.73) and 8 1.25mmHg(SDl 0.31). There were significant differences in smoking(p=.000), cigarette consumption(p=.001), smoking duration(p=.000), BMI(p=.033), medication (p=.001), family history(p=.000) between normotensive and hypertensive. The main risk factors on SBP were medication, age, BMI, family history and smoking duration by 35.7% of the total variance these variables explained SBP. The main risk factors on DBP were BMI, education and medication by 17.60% of the total variance these variables explained DBP. Conclusion: These results suggest that health professional have to emphasize prevention of obesity, lasting medication and no smoking for prevention and management of hypertension in community health promotion program.