• Journal of the Korean Applied Science and Technology
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• v.40 no.5
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• pp.1055-1064
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• 2023

This study attempts to understand the mediating effect of health self-efficacy in the relationship between health consciousness and health promoting behavior of nursing college students. The subjects of the study were 255 nursing college students attending nursing departments at four universities located in G city and J province. Collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression analysis using SPSS 25.0, and Sobel tests were conducted to verify the mediating effect. As a result, health self-efficacy showed a partial mediating effect between health consciousness and health promoting behavior(Z=5.54, p<.001). The higher the health consciousnes(β=.20, p<.001) and health self-efficacy(β=.39, p<.001), the higher the level of health promoting behavior. And the explanatory power(R2) explaining the health promoting behavior was 48%. Therefore, in order to improve the health promoting behavior of nursing college students, it is necessary to prepare an effective strategy to not only increase health consciousness but also strengthen health self-efficacy at the same time.

• Korean Journal of Health Education and Promotion
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• v.18 no.3
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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.

• Journal of the Korean Society of School Health
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• v.11 no.2
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• pp.203-215
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• 1998

The purpose of this study is to inquire into the degree of health promotion activity in university students, and to find out the relationship between self-efficiency and health promotion behavior, Thus, we can offer basic data for developing an educational method or program for health promotion. For this research, data was collected from university men and women through a questionnaire from February 18 to March 20, 1998. A measuring instrument was based on lating reviews of health promotion behavior in chronic disease protection, perceived self efficiency, demographic factors, biological factors, and circumstatial factors. The content validity of the instrument was authenticated by two professors of nursing, and reliability was confirmed by 'cronbach' (${\alpha}^{\prime}$ after mortifying content through a pre-test on 30 students. 475 persons were analyzed in terms of average, percentage, t-test, ANOVA, Pearson's Correlation Coefficient, and Multiple Stepwise Regression by 'SPSS-PC'. The analyzed data is as follows: 1. Higher self-efficiency, as a cognitive-perceptual factor, has a beneficial effect on health promotion behavior (r=.479, p=.000). The result of analyzing the differences among a low group, a middle group, a high group in terms of self-efficiency reveals that the relationship between self-efficiency and health promoting behavior is meaningful. 2. The degree of health promoting behavior is 3.26 out of 6. Other figuresrelating to health promoting behavior, are as follows. self-actualization area (4.62), interpersonal area (4.60), stress management area (4.01), nutrition area (3.68), responsibility of health area (3.11), liquid and cigaret area (2.85), and exercise area (2.33). 3. The degree of self-efficiency was 6.81 out of 10. Other figures relating to self-efficiency are as follows. interpersonal area (7.89), self-actualization area (7.84), liquid and cigarette area (7.72), exercise area (6.88), stress management area (6.84), responsibility of health area (6.35), and nutrition area (6.34). 4. The different lerels of health promoting behavior according to a subject's general factos are following: age (p=0.003), sex (p=0.000), health concern of parents (p= 0.000), taking health programs (p=0.007), case history of familes (p=0.048). Health promoting behavier is also positirely affeted by the following: higher age, social sciences focus, religion, living the relatives', and the higher health concerns of parents. 5. The difference of self-efficiency according to a subject's general factors is positirely affected by sex (p=.008), the health concerns of parents (p=.004), body indexes (p=.001), and the higher health concerns of parents. 6. As the result of analyzing major factors, the most powerful factor appears to be self-efficiency, 26.6% of health promoting behavior. Suggestions: 1. Results of this study point to self-efficiency as a major factor in the health promoting behavior of university students. It is crucial, therefore, to develop a health program to promote self-efficiency and to study how to promote prerention of certain diseases. 2. That health promoting behavior appears low in this study shows that health education should be taken into the university class, with a focus on the daily life of students as its goal.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4694-4702
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• 2012

The purpose of this study was a descriptive research that identified the levels of health-promoting behaviors, previous related behavior, perceived benefits/barriers, self-efficacy, and social support. In addition, it was to establish the relations among the variables, and determine the factors affecting the health-promoting behaviors. Study participants were 311 middle aged between 55-64 in urban areas, and the data were collected through self-reported structured questionnair. According to the results, the mean score for the levels of health-promoting behaviors of the late middle aged was 2.64. Also, among the variables related to health-promoting behaviors, perceived benefits were the highest score (30.7), and perceived barriers were the lowest one (2.08). Meaningful positive correlations were found among health-promoting behaviors and previous related behavior, social support, perceived benefits, and self-efficacy, but perceived barriers showed weakly negative correlations. In addition, the factors affecting health promoting behaviors were revealed in order as following: Previous health related behavior(${\beta}$=.35, p<.001), perceived benefits(${\beta}$=.32, p<.001), social support(${\beta}$=.28, p<.001), and life satisfaction(${\beta}$=.13, p<.001), and this model's explanatory power was 68.8%(F=166.71, p<.001). Based on the findings from the study, in order for the late middle aged to have a well-being old age, an health promoting education program including exercises and stress management should be provided to maintain and improve proper health promoting behaviors. The network with the same age groups also should be supported to share useful information and back up one another.

• Research in Community and Public Health Nursing
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• v.9 no.2
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• pp.396-409
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• 1998

The purpose of this study is to inquire into the degree of health promotion activity of university students, and to confirm the general factors of health promotion behavior in order to offer basic data for a nursing strategy to improve health promotion behavior. For this research, data was collected from university men and women through questionnaires from February 18 to March 20 in 1998. The author develop a measuring instrument on the basis of related reviews of health promoting behavior in the prevention of chronic disease, as well as accounting for demographic factors, biological factors, and circumstanctial factors. The content validity of the instrument was authenticated by two professors of the science of nursing,. and the reliability was confirmed by a 'cronbach' ${\alpha}'$ after moditying the content through a pre-test on 30 students. 475 persons were analyzed in terms of an average, percentage, t-test, ANOVA by 'SPSS-PC'. The analyzed data was the following. 1. The acting degree of health promoting behavior was 3.26 point out of 6. Among the sub-levels of health promoting behavior, the order of importance was the following. self-actualization (4.62), interpersonal(4.60), stress management (4.0l), nutrition(3.68), responsibility(3.1l), liquid and cigaretles ues(2.85), and exercise (2.33). 2. The differences in health promoting behavior according to subject's general character were the following. Age(F=6.012, p=.003), major (F=7.243, P=.000), sex(t=7.60, P=.000), religion(F=2.454, p=.045), living status(F= 2.849, p=.024), health concern of parents(F= 7.596, P=.000), taking health programs(F= 2.710, p =.007), case history of the family( t = -1.980, p=.048). Health promoting behavior is affected by a higher age, majoring in the social sciences, having religion, male, living in the relatives' home, having to take health programs and a higher health concern of the parents. Suggestions: 1. The degree of health promoting behavior appears low in this study. It is crucial, therefore, to develop a health program to improve health promoting behavior and to study how to center the daily health life of students.

• Women's Health Nursing
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• v.2 no.1
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• pp.138-157
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• 1996

Recently, there has been increase perception of health promotion with development of the economic state and science. Individual's responsibility and psychosocial factors have impacted on the individual's lifestyle. Health promotion can be maintained or improved through changes of lifestyle of individuals. Also, there has been supported results of health behavior health has been focused on menopausal symptom and reproductive organ. Until recently, little research has been available on the health or health care of midlife women. The purpose of this study was to explain relationship between health promoting lifestyle and hardiness, gender role characteristics. A total of 254 items of data were obtained from randomly selected subjects. The data collected from the interviews were analyzed using SPSS, yielding frequency, mean. t-test, ANOVA, Pearson Correlation, Stepwise multiple regression. The result of this study are as follows : 1) For the health promoting lifestyle, the mean score was 116.3, the highest score was nutrition(3.30) and interpersonal support(2.86), the lowest score was exercise(1.68). The highest subscale for the hardiness was committment(2.44). Also for the gender role characteristics was higher than median score(37.8). 2) There was a statistically difference the demographic variables. A total health promotion lifestyle was predicted by income and marriage satisfaction, hardiness was predicted by education, income, marriage satisfaction, support person and gender role characteristics was predicted by education. 3) With regard to the relationship among health promoting lifestyle, hardiness, gender role characteristics, the correlation coefficient between health promoting lifestyle and hardiness was r=-.48, p<.001. Also there were significant correlation between health promoting lifestyle and gender role characteristics(r=.22, p<.01), hardiness and gender role characteristics(r=-.39, p<.001). 4) A stepwise multiple regression analysis was done on the total health promoting lifestyle score using the demographic variables, hardiness subscale and gender role characteristics for independent variables. A total of 25% of the variance was explained inthe total health promoting lifestyle by the control, challenge and marriage satisfaction. In conclusion, hardiness and gender role characteristics were engaged in health promoting activity in midlife women. This study also provides new information about the health practices that midlife women report they practice. Therefore, nursing intervention to increase women's health have to be planed program that consider on the basis the results of this study.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.330-346
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• 1999

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in high school students. 304 high school students and 189 vocational high school students living in Taegu city were selected by a convenience sampling method. The data were collected by self-reported questionnaires from August 24 to September 4, 1998. Pender and others' Health Promoting Lifestyle Profile, Shere et al's. Self-Efficacy scale, Wallston et al.'s Internal Health Locus of Control scale, Wares' Health self rating scale and Cohen & Hoberman's Social support scale were used. The data were analyzed by using descriptive statistics, Pearson correlation coefficient, t-test, MANOVA, ANOVA. Tukey verification and Stepwise multiple regression with an SAS program. The results of this study were as follows: 1. The average score of a health promoting lifestyle performance was 2.38(SD=.36) of a 4 point scale .Self-actualization (mean = 2.80. SD = .60). interpersonal support(mean = 2.73, SD=.47), health responsibility (mean=1.53, SD=.47), nutrition(mean=2.64, SD=.63), exercise(mean=2.71. SD=.72) and stress management(mean=2.37, SD=.58) were also analyzed. 2. The combination of self-efficacy, social-support, internal health locus of control. father's educational level and perceived health status explained 37.97% of the variance in health promoting lifestyles. 3. A Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.0011), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). 4. According to sex(t=7.38. p=.006). economic state(F=6.62, p=.00l), Father's educational level(F=4.25, p=.005), mother's educational level(F=6.94. p=.000l), the grade of educational performance(F=3.74, p=.024), sleeping hours(F=3.47. p=.032) and social support(F=40.76, p=.0001). there were significant differences and modifying factors in health promoting lifestyles. On the basis of the above findings. self-efficacy in cognitive factors, and social support in modifying factors were identified as the variables which explained most of Pender's health-promotion model. Nursing strategies enhancing self-efficacy and social support which have a more significant effect on health promoting lifestyles should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.

• Korean Journal of Occupational Health Nursing
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• v.9 no.2
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• pp.94-109
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• 2000

The chances of disease pattern increased the importance of Health-promoting Lifestyle and a large part of the Health-promoting Lifestyle is associated with individual's habit. Health-promoting Lifestyle among nurses is very important because nurses could be a role model of patients and possibly influence many patients. The purpose of this study was oat on1y to assess how hospital nurses practice their Health-promoting Lifestyle but also to identify those affecting determinants. The subjects were 392 nurses working at 3 different hospital in Seoul. These data were collected by self administered questionnaire from April 27 to May 20, 2000. This study examined Health-promoting Lifestyle using In Sook Park's model, individual characteristics. Behavior-specific Cognitions and Affect factors using Pender's model and tried to fine out their relationships. The instruments used in this study were Health-promoting Lifestyle Profile developed by In Sock Park(1995). Likert's four-point scale was used also in this research. The percentage, mean standard deviation, AVNOVA, Pearson's correlation coefficient and multiple regression in the SAS package were used to analyze the data. The results of this study were as follows; 1. 52.3% of sample were aged between 25 and 29, 67.1% were single, 55.6% were university graduates, 51.8% earned 1.5 to 2.0 million won, 57.9% slept for d to 8 hours, 74.5% stated they were healthy. 2. 32.7% of sample worked in surgical gird department, 82.4% worked in 3 shift, 26.3% have been working as nurses for 5 to 7 years. Average score of Perceived self-efficacy was 3.63, Perceived benefits of action was 3.25, Social support was 2.75, and Perceived barriers to action was 1.87 which was the lowest score. 3. The average score if the performance in Health-promoting Lifestyle variable was 2.45 which was lower than previous study. The sanitary life Was 3.18 which was the highest score, harmonious relationship 3.13, emotional support 2.90. The variable with the highest degree of performance was the sanitary life, whereas the one with the west degree was the health diet. 4. There were no significant difference in perceived benefits of action with individual's a character, but in Perceived bait his of action there were significant differences with age(p<.01), marital status(p<.05), housing(p<.05), and Perceived health status(p<.05). In Perceived self-efficacy, there were significant differences with educational level(p<05), sleeping hours(p<.05), and BMI(p<.05). In Social support here were significant difference with housing and sleeping hours.

• Journal of Microbiology
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• v.45 no.2
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• pp.171-174
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• 2007

The growth stimulation of wild plants by several bacterial species showing plant growth-promoting capabilities was examined in a barren lakeside area at Lake Paro, Korea. Microbial numbers and activities in the field soil were monitored for 73 days after inoculation of the bacteria. The acridine orange direct counts for the total soil bacterial populations ranged between $2.0-2.3{\times}10^{9}\;cells/g$ soil and $1.4-1.8{\times}10^{9}\;cells/g$ soil in the inoculated and uninoculated soils, respectively. The numbers of Pseudomonas spp., which is known as a typical plant growth-promoting rhizobacteria, and the total microbial activity were higher in the inoculated soil compared to those in the uninoculated soil. The average shoot and root lengths of the wild plants grown in the inoculated soil were 17.3 cm and 12.4 cm, respectively, and longer than those of 11.4 cm and 8.5 cm in the uninoculated soil. The total dry weight of the harvested wild plants was also higher in the inoculated soil (42.0 g) compared to the uninoculated soil (35.1 g). The plant growth-promoting capabilities of the inoculated bacteria may be used for the rapid revegetation of barren or disturbed land, and as biofertilizer in agriculture.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.1
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• pp.74-86
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• 2012

Purpose: The purpose of this study was to develop a comprehensive self-management program promoting self efficacy for Type 2 diabetic patients. Methods: The study was a methodological research design in which previous related research was reviewed to develop the comprehensive self-management program promoting self efficacy using self efficacy theory. Results: Comprehensive self-management programs promoting self efficacy included the whole range of eight self-management domains: diet, exercise, medication, self-testing of blood glucose, complication or foot, stress, time, and general health, and consisted of four sources of self efficacy: enactive mastery experience, vicarious experience, verbal persuasion, and physiological and affective states, as strategies to promote self efficacy. Developmental methods included, in addition to large and small group education, individual education or counseling, and telephone counseling. Conclusion: Further studies are needed in community health centers or hospitals to establish the effects on self-management compliance and glycemic control of the comprehensive self-management program promoting self efficacy.