Purpose: The purpose of this study was to identify the construct equivalence of the general five factors of health behavior and to compare the latent means between adolescents with a health problem and those without in Korea. Methods: The 2009 KYRBS (Korean Youth Risk Behavior Survey) data were used for the analysis. Multi-group confirmatory factor analysis was performed to test whether the scale had configural, metric, and scalar invariances across the existence of health problems in adolescents. Results: Configural, metric, and factor invariances were satisfied for the latent mean analysis (LMA) between adolescents with health problem and those without. Adolescents with health problem and those without were not different in the LMA of all factors. Conclusion: Health providers should give more interest to the group of adolescents with health problems and consider prudential school life to the same group.
Purpose: The purposes of this study were to examine the relations among anxiety, knowledge, health locus of control and preventive behavior, and to find factors related with preventive behavior. Methods: The subjects were 269 elderly people of over 65 living in C City. Data were collected through a structured questionnaire and analyzed by SPSS. Results: Health promoting behavior was significantly different according to chronic disease, contact with H1N1 patient and perceived health status. The variables that affected the level of preventive behavior were anxiety, knowledge, internal locus of control, external locus of control, chance locus of control and perceived health status. Conclusion: According to this study, promoting preventive behavior for H1N1 on the elderly builds up anxiety, knowledge, and health locus of control.
Ku, In-Young;Mun, Won-Suk;Kang, Ji-Hun;Ryu, Hae-Gyum
Journal of Korean Clinical Health Science
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v.1
no.2
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pp.11-20
/
2013
Purpose. A huge proportion of adults in korea, workers chronic disease risk factors have been growing every year, these are closely related to oral health. thus, through the study of the relationship between workers oral health behavior and chronic disease risk factors. Methods. The subjects were 4,600 workers volunteering at the oral health education program part of the industrial health education of some area work places. Data were analyzed by descriptive statistics, chi-square test, Rogistic regression analysis. Results. The results of chronic disease risk factor according to oral health practice behaviors show that currently drinking and smoking, not visiting to the dentist for last year, fewer toothbrushing were associated with chronic disease risk factors. This result was statistically significant as well.(p<0.05). Risk factors influencing chronic disease were gender, age, job period, dental clinic visiting, the number of toothbrushing, perceived oral health state, smoking, and drinking, these were statistically significant as well(p<0.05). Conclusions. Chronic disease that could threaten workers health was related with the oral health practice behavior. Therefore through factors identification affecting general health and oral health, dental care providers aims to increase workers awareness of health care behavior and lifestyle and to suggest periodical health education promotion program for high risk workers who exposed to risk factors of disease within workplace.
The purpose of this study was to identify the factors influencing health promoting behavior of college students to develop health promoting interventions of young adults. The subjects of this study were 176 women college students, living in a small city in Korea. The data were collected by interviews and a self-report questionnaire, during the period from September, 1999 to December, 1999. The instruments for this study were the PRQ-II by Weinert(1988), the scale of Locus of Control by Wallstone et al.(1978), the scale of self efficacy by Sherer & Maddux(1982), 10 points visual analogue scale for perceived health status and the importance of health, the health promoting behavior scale by Walker et al.(1987), and the scales developed by the authors for the perceived benefits of health promoting behavior, and perceived barriers to health promoting behavior. Cronbach 's alpha of these scales were .68 ~.89. The data were analyzed using descriptive statistics, Pearson's correlation coefficients, and stepwise multiple regression. The results of this study were as follows: 1. Among cognitive perceptual factors of the Health Promotion Model by Pender(1987), the scores of the importance of health, the perceived internal control of health, self efficacy, the perceived health status, and the perceived benefits had a significantly positive correlation with the scores of the health promoting behavior of college students. In addition, the scores of the perceived barriers had a significantly negative correlation with the scores of the health promoting behavior of college students. 2. Among modifying factors of the Health Promotion Model by Pender(1987), the extent of religious activities of college students and the scores of social support had a significantly positive correlation with the scores of health promoting behavior of college students. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, the perceived benefits, the perceived barriers, the perceived health status, and the importance of health accounted for 45.1% of the variance in health promoting behavior in college students From the results of this study, we concluded that the Health Promotion Model by Pender can be used to explain health promoting behavior of college students. In addition, we suggested that the results of this study be considered in developing health promoting programs of young adults.
Han, Yeo-Jung;Han, Mi Ah;Ryu, So Yeon;Choi, Seong Woo
Journal of Korean society of Dental Hygiene
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v.15
no.3
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pp.487-495
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2015
Objectives: The purpose of the study was to investigate the associated factors with oral health behavior in public health majoring students. Methods: Using convenience sampling method, the subjects were 474 health-related majoring students in Jeollanamdo. A self-reported questionnaire was completed from September 1 to 15, 2014. The questionnaire consisted of general characteristics of the subjects, oral health related characteristics, oral health knowledge and behavior. Data were analyzed using SAS 9.3 version. T-test, ANOVA, correlation and multiple linear regression analyses were performed to evaluate the related factors with oral health behavior. Cronbach's ${\alpha}$ in oral health knowledge in this study was 0.52 and that in oral health behavior was 0.80. Results: The overall score of oral health behavior was $3.38{\pm}0.52$. Of all behaviors, the practice in brush of teeth and tongue had the highest mean score. In multiple regression analysis, oral health knowledge in the nursing and dental hygiene students was positively associated with the oral health behavior(${\beta}=0.04$, p=0.003, ${\beta}=0.23$, p=0.003, and ${\beta}=0.18$, p=0.034, respectively). Necessity of dental care, one of oral symptom, and more than two oral symptoms were negatively associated with oral health behavior(${\beta}=-0.14$, p=0.002, ${\beta}=-0.11$, p=0.037, and ${\beta}=-0.17$, p=0.011, respectively). Conclusions: Higher oral health knowledge showed higher levels of oral health behavior. These results will enhance the quality of oral health behavior by increasing the level of oral health knowledge. The optimal oral health education program would be able to improve oral health behavior by increasing the level of oral health knowledge.
Purpose: The purpose of this study was to identify factors influencing health promoting behavior of school-aged children on community child center. Methods: Participant were 207 elementary school student located in Mokpo. For data analysis descriptive statistics, t-test, ANOVA pearson correlation coefficients and stepwise multiple regression were used with SPSS/WIN ver 18.0 program. Results: The mean score for health promoting behavior was below the lower point at $3.39{\pm}0.61$. There were significant differences in health promoting behavior according to gender (t=9.41, p=.002), father's job (F=2.28, p=.048), perceived health status (F=5.70, p=.001), There were significant correlations between health promoting behavior and self-esteem (r=.655, p=.001), self-efficacy (r=.530, p=.001). The explanatory power of these variables accounted for 47.1% of health promoting behavior. The most significant variable was self-esteem (t=7.60, p=.001) and explained 42.8%. Conclusion: The finding indicate that self-esteem of children on community child center are important variables for health promoting behavior. This result suggests that interventions focusing on self-esteem, on enhance health promoting behavior.
Journal of Korean Society of Occupational and Environmental Hygiene
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v.29
no.1
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pp.98-107
/
2019
Objective: This study was carried out to examine factors influencing job stress and health promotion behavior of medical doctors, who play the important role for improving people's health. The data were collected from 340 medical doctors working in clinic and hospitals in Daegu using self-administered questionnaires over the period from July 1 to August 15, 2018. Methods: A multiple regression model was used to study the factors influencing job stress and health promotion behavior of medical doctors. Results: This study showed that average job stress level of the subjects was 3.06 out of 5 point. The medical doctors with carrying out surgery and longer working time tend to have higher job stress level compared to other groups without surgery and having short working time. And medical doctors generally do not have good health promotion behavior and average level of practice of health promotion behavior of the subjects was 2.30 out of 5. The groups with high rate of quitting job and working in hospital tend to have lower practice level of health promotion behavior compared to other groups. And it also showed that the groups with higher the job satisfaction rate and vocational aptitude tended to have the higher level of practice of health promotion behavior compared with other groups. Conclusions: Medical doctors tend to have higher job stress level, whereas they have relatively lower health promotion behavior compared with people with other jobs. Thus, strengthening of health education and counselling for medical doctors and improvement of work environment considering job's characteristics is needed. In particular, the education for job stress management and health promotion in regular continuing education program organized by medical doctors's association should be strengthened.
Kim, Eun Kyung;Chae, Young Ran;Jung, Yun Hee;Park, Eun Ha
Journal of Korean Biological Nursing Science
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v.18
no.1
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pp.27-35
/
2016
Purpose: The purpose of this study was to identify the assertive behavior of asking smokers not to smoke and investigate the factors related to assertive behavior in patients with vascular diseases. Methods: Participants were 203 adult Korean patients with vascular diseases such as cerebral infarction and myocardial infarction. Data were collected using questionnaires that included the characteristics of secondhand smoke (SHS), secondhand smoke-related variables (Health belief model factors, health promotion model factors) and level of assertive behavior. Descriptive statistics, t-test, ANOVA and multiple regression using SPSS/WIN 18.0 were performed. Results: Participants who never ask smokers not to smoke was 39.9%, whereas participants who always ask was 7.4%. There was a weak positive relationship between assertive behavior and susceptibility to disease (r=.18), severity of disease (r=.19), benefit of assertive behavior to SHS exposure (r=.10), barrier of assertive behavior to SHS exposure (r=.24), and self-rated health (r=.21) respectively. There was a moderate positive relationship between assertive behavior and self-efficacy of assertive behavior to SHS exposure (r=.49). Health belief model factors explained 15.7% variance and health promotion model factors explained 27.0% of assertive behavior. Conclusion: The findings of this study suggest that self-efficacy of assertive behavior to SHS exposure is a very important factor. Therefore the development of a program to foster self-efficacy of assertive behavior regarding SHS exposure in patients with vascular diseases is needed.
Purpose: The purpose of this study was to identify factors influencing health behavior compliance in adult patients with moyamoya. Methods: A descriptive correlation study was conducted to investigate the factors influencing health behavior compliance. Participants were 142 adult patients diagnosed with moyamoya disease who were hospitalized or visited an outpatient clinic in the Gyeonggi province. Data were collected from December 16, 2019 to April 14, 2020 using self-report questionnaires and analyzed using the IBM SPSS 26.0 Win software. Results: The hierarchical multiple regression analysis demonstrated that self-efficacy (β = .60, p < .001), social support (β = .13, p = .032), and age (β = .21, p = .005) affected the health behavior of adults with moyamoya disease. These 3 variables explained 62.0% of the variance of health behavior compliance, and the most influential factor was self-efficacy. Conclusion: Based on the results of this study, it concludes that nursing interventions should be focused on self-efficacy and social support to improve health behavior compliance with adult patients diagnosed with moyamoya disease. For that, various strategies to enhance self-efficacy and social support should be developed and actively applied in the clinical setting for adult moyamoya patients.
Objectives: This study is to identify the factors which affect children's preventive behavior for novel influenza A(H1N1) and to provide basic data to health education for children. Methods: The subject of this study were 551 children who were attending on the 4~6th grade in elementary school in Seoul. The data were collected using a self-reporting questionnaire for 5 days from October 12 through 16, 2009. Data were all digitized and analyzed using SPSS 17.0K. Results: As for relationship between preventive behavior and the other variables, correlations were observed with sensibility, self efficacy, respond efficacy and behavior intention, and it was statistically significant(p<.001). According to the result of analyzing factors affecting preventive behavior for Novel Influenza A(H1N1), it was affected by variables such as perceived threat, perceived efficacy, behavior intention. Behavior intention was the most influencing variable and has shown influence in order of self efficacy, sensibility, severity and respond efficacy as follows. Conclusion: The results showed effects on preventive behavior of perceived threat, perceived efficacy and behavior intention. It may be beneficial to improve empowerment for students to prevent influenza A(H1N1) by focusing on perceived threat, perceived efficacy, behavior intention.
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