• Journal of Korean Academy of Nursing
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• v.37 no.6
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• pp.941-948
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• 2007

Purpose: The purpose of this study was to investigate the risk of malnutrition and its relationship with depression and perceived health status. Methods: A total number of 154 elderly over 60 years participated in the study through a community elderly center. The risk of malnutrition was measured by NSI (Nutritional Screening Initiative), depression by CES-D, and health status by a self-rated Likert scale. Results: About one fourth (22.7%) of the subjects had a high risk, and 31.2% had a moderate risk of getting malnutrition. Regarding depression, 34.4% (53 elderly) of the subjects had a high risk. Overall health status had a mean of 3.46 within the range of 1 to 5. In relation to demographic factors, female elderly (${\chi}^2=6.68$, p= .04), aged younger than 75 years old (${\chi}^2=8.60$, p= .01), and having co-morbidity (F=9.81, p= .001) were significantly related to a high risk of malnutrition. Having a higher depression score, higher number of co-morbidity, and lower perceived health status were significantly related to a higher risk of becoming malnourished. Conclusion: The elderly's risk of getting malnutrition was significantly related to their depression and perceived health status. With these findings nursing interventions focusing on these factors should be developed in order to improve the elderly's multidimensional well-being.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.232-241
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• 2003

Purpose: To investigate the factors influencing health promoting behavior in college students and to provide a basic data for developing an effective health promotion program. Method: The subjects were 711 college students living in Jecheon city and were selected using a convenience sampling method. The instruments used in this study included the Health Promoting Lifestyle Profile developed by Walker et al.(987). Perceived Health Status developed by Lawston et al. (1982). Self-Esteem scale developed by Rosenberg(1965), Self-Efficacy scale developed by Becker et al. (1993), and Health Locus of Control developed by Wallston et a1.(1978). The data were analyzed by descriptive statistics, pearson correlation coefficient, and stepwise multiple regression using SPSS/WIN program. Results: I) The mean score of health promoting behavior was 2.39 point out of 4. In terms of sub-domains of health promoting behavior, self-actualization(2.78) showed the highest mean score, followed by interpersonal support(2.75), stress management(2.38), nutrition(2.11), exercise(2.04), and health responsibility (1.97). 2) The health promoting behavior had significantly positive correlations with self-efficacy, powerful others health locus of control, internal health locus of control, chance health locus of control, and perceived health status. 3) In the relationship between general characteristics and health promoting behavior, health promoting behavior was significantly different by gender(t=2.17, p=.03), and financial status of parents (F=10.79. p= .00). 4) The most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, self-esteem, powerful others health locus of control, and sex accounted for 40.4% of the total variance in health promoting behavior. Conclusion: The findings of this study showed that health responsibility and exercise were the domains where the college student showed relatively lower scores than other domains, self-efficacy was the most important predictor of health promoting behavior. Therefore, it is suggested that health promoting programs should focus on health responsibility, and exercise. Nursing strategies that can enhance self-efficacy should also be developed in order to promote healthy lifestyles in college students.

• Korean Journal of Occupational Health Nursing
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• v.12 no.2
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• pp.110-122
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• 2003

Purpose: The purpose of this study is to make a systemic assessment on the level of self-efficacy, social support, and accessibility to medical services, health status, health promoting behaviors, and the quality of life of workers in small scale enterprises. RECEDE model developed by Green and Kreuter for the purpose of a comprehensive assessment research was used. Method: The number of subjects was 199 workers in small scale enterprises at Youngdeungpo-gu and Sungdonggu, Seoul. Data were collected between October and December, 200 through a self-reported questionnaire. And data were analyzed by descriptive statistics, t-test, and F-test. Result: 1. The level of quality of life was 3.08, and general health status was 2.75. There was no significant difference by sex, age, marital status, job, and perceived health status. 2. The level of health promotion life style was 2.09. There was no significant difference by sex, age, marital status, and job. But there was significant difference by perceived health status. 3. The level of self-efficacy, social support and accessibility to medical services were 3.04, 2.85, and 1.45. Conclusion: The results of this study suggest that it is necessary to develop the systematic health promotion programs that can strengthen self-efficacy and health status, and supplement social support and accessibility to medical services, and to encourage health promoting behavior in order to improve quality of life for workers in small scale enterprise.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.4 no.2
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• pp.283-300
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• 1997

This study was undertaken to grasp health-promoting behavior of the elderly and to identify variables related to them in order to facilitate nursing intervention for health promotion of this population. The subjects for this study were 291 old persons obtained by cluster sampling from twenty general social welfare centers located in Tague. Data were collected by self-reported questionnaires from August 13 to September 13, 1996. Questionnaires were developed based on Sherer and others' Self-Efficacy scale, Rosenberg's Self-Esteem scale, Wallston and other's Multidimensional Health Locus of Control scale, Northern illinois University's Helath Self Rating Scale, Walker and others' Health Promotion Lifestyles Profile. Analysis of the data was done by use of descriptive statistics, stepwise multiple regression, Pearson Correlation Coefficient, MANOVA, t-test, and ANOVA. The results were summarized as follows : 1. For the practice of health-promoting behavior, the mean score was 2.89 and range was 3.59 to 2.09. The factor of the highest mean score was regular diet(M=3.42) and factor of the lowest mean score as stress management(M=2.27). 2. The combination of self-efficacy, internal health locus of control, family number, and average monthly pocket money explained 30.0% of the variance of health-promoting behavior. 3. With regard to the relationship between health-promoting behavior and cognitive perceptual factor, self-efficacy correlated positively with health-promoting behavior(r=.4951, P=.0001), self-esteem correlated positively(r=.3263, P=.0001), internal health locus of control correlated positively(r=.3244, P=.0001), perceived health status correlated positively(r=.1355, P=.0274). 4. According to age(F=2.50, P=.0431), sex(t=2.14, P=.0332), marital status(F=7.85, P=.0005), education(F=5.44, P=.0003), family number(F=11.18, P=.0001), people living together(F=7.21, P=.0009), previous occupation(F=5.83, P=.0001), average monthly pocket money(F=7.27, P=.0001), there were differences of health-promoting behavior. The above findings show that health-promoting behavior are related to demographic characteristics, four cognitive perceptual factors(self-efficacy, self-esteem, internal health locus of control, perceived health status). On the basis of the above findings the following recommendations are made ; 1. Nursing interventions enhancing exercise or activity, accountability for health, stress management of the elderly must be provided. 2. Nursing strategies enhancing self-efficacy which is most significant effect on health-promoting behavior must be developed.

• Journal of Korean Public Health Nursing
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• v.12 no.2
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• pp.107-121
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• 1998

The purpose of this study was to test the revised Health Promotion Model of Pender and to determine the factors to promote health behavior for adolescents' smoking behavior. The subjects of the study was 783 boys of 4 high school students. among 39. schools locating in Daejeon metropolitan city. The data was collected from July 1st to 15th. 1997 by school health nurse The research tool were HPLP of Walker. Pender. General self-efficacy scale of Sherer. control scale was measured by subconcept of hardiness scale of Pollock. and perceived barrier. perceived benefit. activity-related-affect tool were made by researcher via literature review The data were analyzed by SAS program using frequency. t-test. ANOVA. Schefee test. regression. The results were as follows 1. The mean of total health promoting behavior was $2.27\pm.35$. Among sub domain of health promoting behavior, the highest score was interpersonal support$(2.72\pm.60)$. and the lowest was health responsibility $(1.58\pm.44)$. 2. There were statistically significant difference in total health promoting behavior according to religion. parenting style. school performance. girl friend. father's smoking of individual characteristics. 3. The socioeconomic status. smoking, parent pattern. family structure of individual characteristics and experience domain associated with perceived benefit. perceived barrier. activity-related affect. interpersonal influence of behavior-specific cognition and affect domain. The perceived barrier. self-efficacy. girl friend and father's smoking of interpersonal influence. and control explained $25.8\%$ of variance of health promoting behavior. From above results school health nurse has to emphasize on health responsibility for health promotion of adolescent. But they couldn't intervene for parent pattern. socioeconomic status. family structure of individual characteristics and experience domain. it could be possible for school health nurse to promote health of adolescents through improving perceived barrier. also develop program to increase self-efficacy and through parent health class for fathers. Above results point to the importance of including parents in smoking prevention effort targeting adolescents. Because increasing control also promotes health of adolescents. it should be studied further about the specific measure. To verify the variables for increasing the fitness of health promoting model. it needs further replication of the research.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.203-211
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• 2007

Purpose: The purpose of this study was to identify the factors influencing Health Promoting Behavior(HPB) of nursing students. Method: The sample consisted of 418 college nursing students in G city. data collection method was a structured questionnaire. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Result: The mean score for HPB was 2.48. In the subcategories, the highest degree of performance was interpersonal relationship and the lowest degree was exercise. HPB was significantly different according to economic status of parents, health concern of parents, and body mass index. The most powerful predictor of HPB was self esteem(33%). A combination of self esteem, social support, self efficacy and perceived health status accounted for 43% of the variance in HPB of nursing students. Conclusion: This study suggests that self esteem, social support, self efficacy and perceived health status are significantly influencing factors in HPB of nursing students.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.1
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• pp.93-115
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• 2010

Objectives: This study intends to understand the difference of social support levels and the relationship between social support the health status, college adjustment and academic achievement in the college student. Methods: Data were obtained from self-administered questionnaire of 416 college student. We measured the demographic characteristics, social support (tangible support, appraisal support, belonging support, self-esteem support), health status (36-item short-form health survey(SF-36), center for epidemiologic studies-depression(CES-D), perceived stress scale(PSS)), student adaptation to college questionnaire(SACQ), average grades point. Chi-square test, t-test, ANOVA test, pearson correlation analysis were used for analysis factors relation of the social support of the college students. Results: In considering the degree of social support by the demographic characteristics in the college students, the social support was better for the female college students. In considering the relation between social support and health status, the students who get better social support, were good in health depression and perceived stress status. When they got better social support their college adjustment and academic achievement were good. The result was statistically significant. Conclusions: Social support for students has great influence on health, college adjustment and academic achievement of students. Psychological aspects of students should be included in the strategy of social support for students.

• Journal of muscle and joint health
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• v.8 no.1
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• pp.51-64
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• 2001

The purposes of this study were to examine and to predict the affecting factors on exercise participation of Rheumatoid arthritis Patients. The subjects were 161 adult out-patients who visited the hospital for rheumatic disease in H-university. Data were composed of self-reported questionnaire. The conceptual model of this study consisted of that personal characters(age, marriage, education, income), situational characters(pain intensity, fatigue, IADL, depression), behavioral characters(formerly exercise behavior, life-style), and cognitive-perceptional characters(perceived health status, perceived benefit, perceived barrier, perceived self-efficacy) affected directly to exercise participation. Logistic regression analysis was applied for testing model of this study. The results were as follows : 1. Personal characters(education), situational characters(pain intensity), behavioral characters(formerly exercise behavior, life-style), and cognitive characters(perceived barrier, perceived self-efficacy) were significant difference between current exercise participants(127subjects) and non-exercise participants(34). 2. Personal characters(income), situational characters(pain intensity), behavioral characters(life-style), and cognitive-perceptional characters(perceived barrier, perceived self-efficacy) were correlated to exercise participation. 3. Formerly exercise behavior, perceived barrier, and perceived self-efficacy were significant predictor of exercise participation. The logistic equation predicted overall 81.94% of this study subjects 161.

• Korean Journal of Adult Nursing
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• v.27 no.6
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• pp.613-623
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• 2015

Purpose: This study was designed to construct a predictive model to explain quality of life of stomach cancer patients with gastrectomy. Methods: Data were collected from July 10 to August 30, 2013 through survey using self-reported questionnaires. A total of 218 patients with gastrectomy was recruited from three different hospitals. Outcome variables were exogenous ones (self efficacy and social support) and endogenous ones (depression, perceived health status, self care behavior, and quality of life). Results: Goodness-of-fit of the hypothetical model was $x^2=143.37$, RMSEA=.07 CFI=.95, TLI=.93 SRMR=.05. Self care behavior, depression and perceived health status had significant direct effects on quality of life. Self efficacy and social support were affected quality of life indirectly. These variables explained 67.9% of total variance of quality of life, and self-care behavior was the most influential factor for quality of life. Conclusion: The findings of this study suggested that self care behavior must be considered as an intervention strategy to improve quality of life. Also a development of a specific intervention program to promote self efficacy and control depression for patients with gastrectomy is essential to facilitate their self care behaviors.

• Korean Journal of Adult Nursing
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• v.12 no.4
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• pp.573-583
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• 2000

The purpose of this study was to identify the factors influencing health promoting behavior of the elderly for develop health promoting intervention of old people. The subjects of this study were 167 elderly person over the age of 60, living in rural city in Korea. The data were collected by interview and self report questionnaire, during the period from May, 1999 to August. 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 the perceived health status and the importance of health, the health promoting behavior scale by Walker et al(1987), and the scales developed by authors for the perceived benefits of health promoting behaviors, and the perceived barriers to health promoting behaviors. The Cronbach 's alpha of these scales were .84 ~.97. 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, the self efficacy, the perceived health status, and the perceived benefits were significantly positive correlation with the scores of the health promoting behavior of the elderly. In addition, the scores of the perceived barriers were significantly negative correlation with the scores of the health promoting behavior of the elderly. 2. Among modifying factors of the Health Promotion Model by Pender(1987), the pocket money of the elderly, the scores of social support were significantly positive correlation with the scores of the health promoting behavior of the elderly. In addition, ages of old people were significantly negative correlations with the scores of the health promoting behavior of the elderly. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was the self efficacy. A combination of the self efficacy, the perceived barriers, the social support, the importance of health, and the perceived internal control of health accounted for 56.2% of the variance in health promoting behavior in the elderly. From the results of this study, we concluded that the Health Promotion Model by Pender will be used to explain health promoting behavior of the elderly. We suggested that the results of this study will be considered in developing health promoting programs of elderly.