• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.431-443
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• 2020

Purpose: This study aimed to investigate health behavior related to particulate matter (PM) in older adults and examine the factors affecting it. Methods: A cross-sectional survey design was used. Data were collected from 150 voluntary older adult participants from Songpa-gu in Seoul. The survey questions measured service perception and experience related to PM, risk perception related to PM, attitude toward risk of PM, and health behavior related to PM. Results: The average score for health behavior related to PM was 79.37, ranging from 51 to 115. There was a significant positive correlation between health behavior related to PM and risk perception related to PM (r=.58, p<.001) as well as between health behavior related to PM and attitude toward risk of PM (r=.70, p<.001). Multiple linear regression revealed that health behavior related to PM was predicted by levels of the existence of disease related to PM (β=.14, p=.019), service experience related to PM (β=.20, p=.021), risk perception related to PM (β=.20, p=.019), and attitude toward risk of PM (β=.44, p<.001). The model including these variables accounted for 47.0% of health behavior related to PM. Conclusion: Korean older adults have the low level of health behavior related to PM. The findings of this study emphasize that risk perception and attitude toward risk of PM should be evaluated, and the underlying diseases related to PM and their service experience should be considered in developing intervention to improve health behavior related to PM.

• Journal of Korean society of Dental Hygiene
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• v.8 no.4
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• pp.55-64
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• 2008

This study set out to identify the factors to affect the oral health promotion behavior of elementary school students and to provide a framework to develop educational programs to promote their oral health promotion behavior. A survey was conducted to 729 fifth and sixth graders attending four elementary schools in Seoul. The variables were measured with a five-point Likert scale and include previous oral health related behaviors, perceived oral health status, perceived benefit, perceived barriers, self-esteem, self-efficacy, and oral health promotion behavior. First, the subjects scored relatively high 3.51 points out of 5 in oral health promotion behavior. They also scored 3.88 points in perceived benefit, 3.51 in selfesteem, 3.43 in self-efficacy, 3.28 in perceived oral health status, 2.77 in previous oral health related behaviors, and 1.79 in perceived barriers. Second, a significant difference was observed according to gender in previous oral health related behaviors and oral health promotion behavior. And a significant difference was also found according to grade in previous oral health related behaviors, perceived benefit, perceived barriers, selfesteem, self-efficacy, and oral health promotion behavior. Third, when they had an experience of visiting a dental clinic for preventive purposes, a significant difference was found according to the purposes of going to a dentist in previous oral health related behaviors, perceived benefit, and oral health promotion behavior. And fourth, multiple regression analysis was carried out with oral health promotion behavior as a dependent variable. As a result, all the research variables, which include previous oral health related behaviors, perceived oral health status, perceived benefit, perceived barriers, self-esteem, and self-efficacy, turned out to have significant influences on oral health promotion behavior. And their explanatory power was 49%. Conclusion: Those factors that were identified to affect the oral health promotion behavior of programs to promote their oral health.

• The Journal of Korean Society for School & Community Health Education
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• v.15 no.1
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• pp.121-140
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• 2014

Objectives: Recently, the rate of death by chronic disease, is increasing steadily. To prevent this, the public health center will have taken a leading role in the local community medical business through an establish to the national health promotion act and an amendment to the law of public health center in Korea. Results: Accordingly this research, using the Pender's health promotion model which is related with subject health behavior who government employees serve at the public health center have taken important position in the local community health promotion, have comprehended the actual condition of health behavior. For increasing the health behavior practice of subject to comprehend the factor which have effect on health behavior practice, which can be a correct role model in the local community health promotion. A survey was performed on 406 government employees who serve at five public health centers in Seoul. The period of survey was from 25th October, 2010 to 15th November, 2010. The results of this study were summarized as below. 1. Work-related stress, perceptible beneficial obstacle, and self-efficacy were composed by 5 points measure. The results show those work-related stress were $3.06{\pm}0.469$, 74perceptible beneficial obstacle were $3.74{\pm}0.471$, and self-efficacy were $3.49{\pm}0.469$. 2. As for the health behavior by general characteristic, the results have specific differences on age, education level, state of marriage, rank of the position, field of the occupation and employment forms in statics analysis. 3. As for the past health behavior by health behavior characteristic, work-related stress have specific differences on the past frequency of drinking (p<.05) in statics analysis, perceptible beneficial obstacle have specific differences on the past frequency of having breakfast(p<.05), having snacks(p<.05) and doing exercise(p<.05) in statics analysis. Self-efficacy have specific difference on the past frequency drinking(p<.01) in statics analysis. 4. According to the correlation between the factors related with health behavior and health behavior, the health behavior have specific differences on perceptible health condition(p<.01), the past health behavior and perceptible beneficial obstacle(p<.05). Work-related stress and self-efficacy don't have specific relation in health behavior practice. 5. The factors, which effect on health behavior practice have specific differences on the past health behavior, employment forms and field of the occupations. The ability of explanation occupied 54.8% what explained of the health behavior practice by general characteristic, perceptible health condition, employment forms and perceptible beneficial obstacle. Conclusions: According to the correlation between the factors related with health behavior, the health behavior have specific differences on perceptible health condition(p<.01), the past health behavior and perceptible beneficial obstacle(p<.05). The factors, which effect on health behavior practice have specific differences on the past health behavior, employment forms and field of the occupations.

• Women's Health Nursing
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• v.12 no.2
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• pp.132-141
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• 2006

Purpose: The purpose of this study was to supply basic data for a health promoting program and to elevate the level of it by examining whether university students' health promoting behaviors were related to health perception, health concept, self- esteem, perceived benefits of action, perceived barriers of action, perceived self-efficacy, activity-related affect, social support, preference, prior related behavior, and a plan for action. Method: Subjects were 192 university students in K city. Data collection method was a structured questionnaire. Data was analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Result: The most powerful predictor was previous related behavior (36%). Altogether previous related behavior, health status, a plan for action, perceived self-efficacy and number of admissions were proven to account for 57% of health promoting behaviors. Conclusion: It suggested that prior related behavior, health status, a plan for action, perceived self-efficacy, and number of admissions should be considered when developing a students' health promoting program.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.360-374
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• 2020

Purpose: This study aims to identify the mediating effect of health promoting behavior in the relationship between depression and health-related quality of life, and between social support and health-related quality of life among migrant workers. Methods: Data were collected from 152 migrant workers working at companies in K and B metropolitan cities. The study conducted a survey from August 1 to September 30, 2019, and used self-report structured questionnaires that were translated into English and Korean. The data were analyzed using descriptive statistics, Pearson correlation coefficient, simple and multiple regression, Baron and Kenny's method, and Sobel test. Results: Depression was significantly negatively correlated with social support (r=-.29, p<.001), health promoting behavior (r=-.30, p<.001) and health-related quality of life (r=-.44, p<.001). And social support was significantly positively correlated with health promoting behavior (r=.50, p<.001) and health-related quality of life (r=.44, p<.001). And health promoting behavior was significantly positively correlated with health-related quality of life (r=.51, p<.001). Furthermore health promoting behavior showed partial mediating effects in the relationship between depression and health-related quality of life (Z=3.26, p<.001), and showed partial mediating effects in the relationship between the social support and health-related quality of life (Z=3.98, p<.001). Conclusion: In this study, depression and social support were shown to mediate health promotion behavior to improve health-related quality of life. Therefore, in order to improve the health-related quality of life of migrant workers, it is necessary to focus on the health promotion behaviors, and effective strategies are needed to reduce depression, and support social support.

• Journal of Korean Academy of Nursing
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• v.24 no.2
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• pp.278-302
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• 1994

This article reviewed and analyzed 39 studies on self efficacy theory applied to health related behavior. The following analysis was done : 1) study subjects 2) measurement tools 3) analysis according to the type of research design(intervention re-search, explanatory research). Some findings are summarized as follows : The study subjects were both healthy people in various developmental stages and patients with various illnesses. The health related behaviors examined in the studies were also various including exercise, smoking cessation, self care behaviors, etc. The measurement of self efficacy was done with specific tools in most studies. In the tools, activities that measured the health behavior domain were listed according to increasing difficulty or contexual arrangement or in combination of both of them The analysis of 17 intervention research studies showed that generally the intervention program increased the self efficacy level of subjects and then the increased strongly self efficacy influenced behavioral changes. Most studies used more than one intervention method for increasing the self efficacy level. these were derived from sources of self efficacy suggested by Bandura. The analysis of 21 explanatory research studies showed that self efficacy strongly influenced behavior change and persistence. The major independent variable to affect the self efficacy was performance accomplishment in the past. Self efficacy explained more of the variance in health related behavior when it was applied with the variables in the health belief model, health promotion model, and reasoned action theory. On the basis of the above findings, the following suggestions are made : 1. For a desirable research design, self efficacy should be the intervening variable. That is, desirable designs would include intervention-self efficacy-behavior in intervention research studies and antecedent-self efficacy-behavior in explanatory research studies. 2. More prospective, longitudinal studies are needed to test the effect of self efficacy on persistence in health related behavior. 3. Studies comparing the effects of intervention methods are needed for each health related behavior, subject group, and context. 4. It is necessary to develop a reliable, valid measurement tool for self efficacy for each health related behavior. 5. Studies to differenciate the effect of self efficacy from that of outcome expectation on the health related behavior are necessary. 6. The antecedents of self efficacy should be investigated further.

• The Journal of Korean Society for School & Community Health Education
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• v.12 no.2
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• pp.29-42
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• 2011

Objectives: This is an explanatory correlational study to assess the level of and the relationship of the related factors of health promotion behavior by gender among college students. Methods: Subjects were 950 of the freshmen of the year 2010 at a university in a city adjacent to a metropolis, in S. Korea. Data were collected from the freshmen who understood the purpose of the study and agreed to participate during a freshmen core course using a structured questionnaire. Related factors include active- and passive-self efficacy, internal health locus of control, and social support. Related factors were compared between male and female using t-test and the relationship between the related factors and the health promotion behavior was analyzed separately for each sex, by multiple regression analysis using SPSS 12.0. Results: There were differences in the related factors of BMI between male and female students. They were alcohol behavior and perceived health status among female students while smoking status, alcohol behavior, perceived health status, and BMI among male students. Result from the multiple regression analysis revealed difference in the related factors and in the magnitude of the relationship evaluated by the standardized beta coefficients. Significant factors, listed by the magnitude of beta coefficients, among female were social support, active self efficacy, passive self efficacy, internal health locus of control, and alcohol behavior. Significant factors among male students were social support, active self efficacy, smoking, internal health locus of control, passive self efficacy, and perceived health status. Conclusions: There are gender difference in health promotion behavior and the related factors. The results suggest that the gender differences need to be considered when planning health promotion programs in college. Further research is necessary in order to draw consensus on roles of the related factors of health promotion behavior.

• Journal of Korean society of Dental Hygiene
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• v.10 no.5
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• pp.777-788
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• 2010

Objectives : The purpose of this study was to examine the awareness-perception factors and oral health promotion behavior of dental hygiene and nonhealth-related students in an effort to find out factors affecting their oral health promotion behavior. Methods : The subjects in this study were students in the three-year-course dental hygiene and students in the two-year-course nonhealth-related department in G college located in the city of Gwangju. After a survey was conducted, the collected data were analyzed and compared. Results : 1. The dental hygiene students were statistically significantly ahead of the nonhealth-related students in perceived oral health knowledge(p<0.001), awareness of the importance of oral health(p<0.001), perceived oral health status(p<0.001) and oral health interest(p<0.001). 2. Concerning the characteristics of oral health promotion behavior, the dental hygiene students were statistically significantly better at toothbrushing(p<0.001) and the use of dental floss(p<0.001) than the nonhealth-related students. 3. Regarding factors affecting oral health promotion behavior, oral health knowledge and oral health interest were identified as the factors that impacted on oral health promotion behavior. Out of the two, oral health interest exercised a greater influence on that. Conclusions : It seems that oral health education could motivate students to be concerned about their oral health, to acquire knowledge on that and eventually to change their oral health behavior and attitude. As for college students, oral health education provides a final chance for them to check their oral health knowledge, attitude and oral health promotion behavior before they start to work as full-fledged adults, and institutional measures should be taken to offer more intensive official oral health education.

• Journal of muscle and joint health
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• v.28 no.2
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• pp.130-139
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• 2021

Purpose: This study was conducted to identify factors affecting health behavior related to particulate matter (PM) of among nursing college students. Methods: A cross-sectional survey design was used. Data were collected from 261 volunteering nursing college students from three universities via an online survey. The survey questions measured PM risk perception, self-care agency, and health behavior related to PM. The study was conducted from June 22 to August 21, 2020. The data were analyzed using descriptive statistics, independent t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis. Results: The factor with the greatest influence on health behavior related to PM was PM risk perception, followed by self-care agency and the frequency of going out. These variables explained about 41% of the types of health behavior related to PM. Conclusion: PM risk perception and self-nursing agency were found to be significantly correlated with health behavior related to PM. This result suggests that there is a need to develop an educational program for nursing students to improve PM risk perception and self-nursing agency.

• International Journal of Clinical Preventive Dentistry
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• v.14 no.4
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• pp.222-227
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• 2018

Objective: The university students of the four universities located in the Gyeongbuk province district were studied to confirm the correlation between smartphone addiction and oral health behavior. Methods: The target audience was a total of 587 people, and from April 18, 2017 until June 10, 2017, collected data using individual questionnaire methods and analyzed using the IBM SPSS WIN 24.0 program. Results: Smartphone addiction was high in health related major, and oral health behaviors were high in non health related major. And the first grade students who smoke and drinking showed a high correlation between smartphone addiction and oral health behavior. Conclusion: It is possible to confirm the correlation between smartphone addiction of university students and oral health behaviors, and the smartphone guideline and appropriate oral health education program are required.