Purpose: A structural equation model was analysed to explore the determinants of health behaviors of university students in Korea. Method: Nine hundred sixty nine university students were selected by random cluster sampling from five universities located in the central area of Korea. Data collection: The data was collected by questionnaires about demographic characteristics, stressful life events, perceived social support, perceived health status and health behaviors. Results: 1. Gender showed indirect effect on health behaviors. 2. Living together with(out) family had a direct effecton health behaviors: students living with family showed more positive health behaviors. 3. Stressful life events had an indirect effect on health behaviors via perceived health status; a higher score of stressful life events was the predictor for negative health behaviors. 4. A higher score of perceived health status predicted positive health behaviors. Recommendation: Each university should be encouraged to develop a health behavior control program and health promotion program for their own university students. It would be more effective to develop health programs separately according to the demographic or social characteristics of the students. It is also necessary for the Ministry of Education to reform the School Health Act and school health policy to strengthen a health promotion program for university students. In conclusion, following studies should identify and promote the validity and reliability of perceived health status and health behaviors measurements.
The purpose of this study is to provide a basis for nursing intervention strategies to promote quality of life in cancer patients. Therefore the study is designed to evaluate the effectiveness of perceived health status, self-esteem, health locus of control, self-efficacy, perceived susceptibility /severity, health promoting behaviors, and hope for quality of life. The sample was composed of 164 stomach cancer patients who visited outpatient clinics at a university hospital in Seoul. The following instruments were used in the study after some adaptation : Lawstone and others' Health Self-rating Scale, Rosenberg's Self-esteem Scale, Wallston and others 'Multidimensional Health Locus of Control Scale, Sherer & Maddux's Self-efficacy Scale, Moon's Health Beliefs Scale, Walker and others' Health Promoting Lifestyle Profile, Nowotney's Hope scale and Noh's Quality of Life Scale. Data were analyzed using a SAS program for Pearson correlation coefficients, descriptive correlational statistics and stepwise multiple regression. The results are as follows : 1. The scores on the quality of life scale ranged from 115 to 243 with a mean of 177.84(SD : 25.35). The mean scores(range 1-5) on the different dimensions were : emotional state 3.37 : economic life 3.47 : physical state & function 3.52 : self-esteem 3.66 : relationship with neighbors 3.37 ; family relationships 3.80. 2. There was a significant correlation between all the predictive variables and the quality of life (r=.20-.65, p<.01). 3. Stepwise multiple regression analysis showed that : 1) Self-esteem was the main predictor of quality of life and accounted for 46.9% of the variance in quality of life. 2) Perceived health status, hope and perceived susceptibility/severity accounted for 11.8%, 8.3%, 1.5% of the variance in quality of life, respectively. 3) Self-esteem, perceived health status, hope & perceived susceptibility /severity combined accounted for 68.5% of the variance in quality of life. In conclusion, self-esteem, perceived health status, hope and perceived susceptibility / severity were identified as important variables in the quality of life of cancer patients.
Purpose: The purpose of this study was to analyze cancer symptoms, perceived health status, and nursing services for community dwelling cancer patients who are registered in a public health center. Methods: The subject of the study were 561 community dwelling, and home-based cancer patients who were registered in 8 different public health centers in Daegu, Korea. The data collection was performed from September 28 to October 10, 2009. Analysis of data was done by using descriptive statistics, t-test and ANOVA with SPSS program. Results: The mean score of cancer symptom index was 1.63. The level of fatigue was the highest in cancer symptom index. The mean score of perceived health status was 6.92. The exercise guidance was identified as the most frequently practiced nursing service. The scores of cancer symptom index were significantly different by economic status, marital status, living condition, the status of cancer, and metastasis. The scores of perceived health status was significantly different by education, economic status, type of social insurance, time of cancer diagnosis, status of cancer, and metastasis. Conclusion: The above findings indicate that it is necessary to develop a special nursing intervention differentiated according to the time points of cancer diagnosis, status of cancer. In addition, nurses should apply it in their practice to ameliorate fatigue for community dwelling cancer patients who are registered in public health center.
This study was done to describe health promoting lifestyle and to identify the factors affecting the performance in health promoting lifestyle among the climacteric women. The subjects of this study were 240 women(40 to 60 years old) The sample data were collected using a purposive sampling method, and collected from August 23 to September 6, 1999. The instruments for his study were a health promoting lifestyle scale, a health locus of control scale, a self-esteem scale and a perceived health status questionnaire. Frequency, percentage, t-test, ANOVA, Pearson's correlation and stepwise multiple regression technique with SPSS program were used to analyze the data. The results of the study were as follows ; 1) The average score of performance in the health-promoting lifestyle variables was 166.40. The variable with the highest degree of performance was the sanitary environment , whereas the one with the lowest degree was the professional health maintenance. 2) Performance in the health-promoting lifestyle was positively related to self-esteem, internal health locus of control and negatively related to accidental health locus of control and perceived health status. 3) A significant difference between educational level and health-promoting lifestyle were found. 4) Self-esteem and perceived health status explained 21.0% of the variance for the total health promoting lifestyle. The results of this study show that self-esteem, perceived health status predicted the health promoting lifestyle of the climacteric women. Therefore, health promoting programs that increase self-esteem and perceived health status should be developed to promote a healthy lifestyle of the climacteric women, especially those who have a low level of education.
This study was conducted to identify the characteristics of pain, self-esteem, perceived health status, and self-efficacy and its influencing factors in patients with chronic arthritis. The data were obtained from 104 patients with chronic arthritis registered in one university hospital in Seoul, from May to August, 2000. For analysing the data, SAS program was used for t-test, ANOVA, Scheffe test, Pearson correlation, and stepwise multiple regression. The results were as follows: 1. The variables which showed significant difference with pain were sex, number of painful joints. 2. The variables which showed significant difference with perceived health status were age, diagnosis. number of painful joints. 3. The variables which showed significant difference with self-efficacy were duration of disease, number of painful joints. quality of sleeping. 4. Moderate negative correlation were observed between pain and perceived health status, self-efficacy, and low positive correlation was observed between self-esteem and perceived health status. Also self-esteem revealed moderate positive correlation with self-efficacy, and moderate positive correlation was observed perceived health status and self-efficacy. 5. The predictors to explain self-efficacy were number of painful joints, self-esteem, duration of disease, duration of exercise and pain. These predictors explained $36.05\%$ of variance of self-efficacy. In conclusion, the nursing intervention to improve self-efficacy for chronic arthritis patients focused not only physiological symptoms such as pain. but also psychosocial factors such as self-esteem.
Purpose: The purpose of this study was to examine the relationships among perceived health status, exercise self-efficacy, social support, and exercise compliance and factors influencing exercise compliance in older adults in an area. Methods: The sample consisted of 154 older adults who attended a senior welfare center in D metropolitan city. Data were collected from the 25th to the 31th of January in 2012. Results: The mean score for perceived health status was 2.94, 911.69 for exercise self-efficacy, 46.99 for social support, and 6.83 for exercise compliance. The highest score on social support domains was emotional support, followed by self-esteem, material, and informational support. There were significant correlations between perceived health status and exercise self-efficacy, between perceived health status and exercise compliance, between exercise self-efficacy and social support, between exercise self-efficacy and exercise compliance, between emotional support and exercise compliance. Findings of multiple regression indicated that only exercise self-efficacy significantly explained exercise compliance. Conclusion: Health care providers may need to develop various intervention program to promote exercise self-efficacy in order to influence on exercise compliance and adherence among older adults.
Purpose: The aim of this study was to examine the quality of life (QOL) and its associated factors in hepatocellular carcinoma patients with Transarterial Chemoembolization. Methods: A descriptive correlational study was used, 106 hepatocellular cancer patients participated through convenient sampling. Data were collected by self-report questionniares or face to face interviews during the period from June to December in 2014. Satisfaction for pain control, perceived health status, professional support and QOL were measured by Assessment of Patient Satisfaction for Pain Management, Health Self-Rating, Relationship Questionnaire, Functional Assessment Cancer Therapy-General. Results: The mean age of participants was 63.7 years and most of them were male (86.8%) and married (84.9%). The mean score of QOL was 67.42. QOL was significantly different by religion. Number of other disease and perceived health status were positively correlated to QOL. Pain intensity was negatively correlated to QOL. As a result of stepwise multiple regression analysis, perceived health status and religion were explained 41.0% (p<.001) of the variance in QOL. Conclusion: Perceived health status should be considered when developing nursing intervention to improve QOL among hepatocellular cancer patients with Transarterial Chemoembolization.
본 연구 목적은 생활체육 프로그램 참여노인의 지각된 건강상태가 라이프스타일 및 재사회화에 미치는 영향을 규명하는 것이다. 목적을 달성하기 위해 총 306부의 설문지 배포 후 회수하였고 응답내용이 부실하거나 일부 누락된 자료 12부를 제외 총 294부를 SPSS 18.0 ver. 통계프로그램을 이용하여 요인분석, 상관관계분석, 중다회귀분석을 실시하여 다음과 같은 결론을 얻었다. 첫째, 생활체육 프로그램 참여노인의 지각된 건강상태는 라이프스타일에 영향을 미치는 것으로 나타났다. 둘째, 생활체육 프로그램 참여노인의 지각된 건강상태는 노인의 재사회화에 영향을 미치는 것으로 나타났다. 셋째, 생활체육 프로그램 참여노인의 라이프스타일은 재사회화에 영향을 미치는 것으로 나타났다.
Stress is a primary health promotion issue in worksite research because psychological distress is closely related not only to workers health status but also to their job performance. This study identified the work environment and work condition factors affecting workers stress symptoms among the Korean manufacturing factory workers. A total of 7,818 factory workers employed in 1,562 manufacturing companies participated in the Korean nation-wide occupational health survey conducted by the Korean Occupational Safety and Health Agency in 2003. Participants were selected by the stratified proportional sampling process by standardized industry classification, company size, and locations. Trained interviewers visited the target companies and interviewed the factory workers randomly selected in each company. Work environments included physical work environments (temperature, noise, hazardous organic compounds, and so on) and psychological work environments (job demands, job control, and social support at work), and work conditions included daily working hour, rest time, and so on. Men were 71.5% and the mean age was 34.0 years old. The average working period in the present company was 6.9 years. The average stress score was 26.2 under the perfect score, 50, which means the moderate level of stress. Perceived stress had significant correlations with young age, poor physical work environment, high fatigue, bad perceived health status, and high job demands in Pearson's simple correlation analysis. Perceived health status and perceived fatigue explained 21% variance of stress symptoms and the work environment factor explained 4.8% of that; however, work condition did not have the sufficient effect. In particular, psychosocial work environment variables (job demand, job control, and social support at work) had a clear effect on stress symptoms rather than the physical work environments. Poor perceived health status, severe perceived fatigue, poor physical work environment, high job demands, low social support, heavy alcohol consumption and little exercise were significantly related to high stress symptoms in the Korean manufacturing workers.
The purpose of this study was to investigate the factors influencing health promoting lifestyles in undergraduate students thus providing the basic data necessary to establish a health promoting program. The subjects of this study were 392 undergraduate students, living in Seoul, Chung-Buk, and Kangwon, during the period from May 10 to July 15, 2000. The instruments for this study were the health promoting lifestyles scale developed by Bak, Insuk(l995), the hardiness scale by Suh, Yeonok(1995), the social support scale by Su, Moonja(l988), and the perceived health status scale by Lawton et al.(l982). The results of this study are as follows; 1. The average score for health promoting lifestyles was 2.47 on 4 point scale. The health promoting lifestyles categories ‘harmony relationships’(3.08) and ‘sanitary life’(2.97) revealed higher scores, whereas scores for ‘healthy diet’(2.31), ‘exercise & activity’(2.20) and ‘professional health management’(1.48) were lower. 2. The mean score for hardiness, social support and perceived health status was 4.43(on 6 point scale), 2.91(on 4 point scale) and 3.11(on 5 point scale) respectively. 3. There was a statistically significant difference in degree of health promoting lifestyle according to religion(t=2.05, p=0.04) and spending money per month(F=2.98, p=0.03). 4. Health promoting lifestyles showed significant positive correlation with hardiness, social support, and perceived health status. 5. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle was hardiness. Social support and perceived health status have significant effects on health promoting lifestyles. These predictive variables of health promoting lifestyles explained 24% of variance. Finally, the result of this study will provide important factors for the development of a nursing intervention program for the promotion of healthy lifestyles in Korean undergraduate students.
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