• Journal of Korean Public Health Nursing
• /
• v.19 no.2
• /
• pp.305-315
• /
• 2005

Purpose: The purpose of this study was to investigate the relationships among depression, sleep patterns and health promoting behavior in female college students. Methods: The subjects of this study consisted of 350 college students. The data was collected through self-administered questionnaires from November to December of 2004. The data was analyzed via the SPSS computer program by using descriptive statistics, t-tests, ANOVA and Pearson's correlation coefficients. Results: There are significant differences and impacts on depression according to the amount of coffee consumed, the time spent on computer and the amount of smoke inhaled. Sleep patterns differ depending on one's college major, the time spent on computer, and the amount of smoke inhaled. Health promotion behavior was shown to be significantly different according to the living style, college major and how much TV was watched The mean scores for depression, sleep patterns, health promoting behavior were 1.45 (on a 3 points scale), 2.71 (on a 4 points scale), and 3.03 (on a 5 point scale), respectively. There was a significant positive correlation between sleep patterns and health promoting behavior, and there was negative correlation between depression and health promoting behavior, and between depression and sleep patterns in college students. Conclusion: The findings of this study give useful information to create further studies on intervention programs related to health promoting behavior for college female students.

• Journal of Korean Public Health Nursing
• /
• v.28 no.2
• /
• pp.298-309
• /
• 2014

Purpose: The purpose of this study was to investigate the degree of knowledge of hepatitis A, health perception, and health promoting behavior among young and middle-age adult's. Methods: 207 young and middle-age adult's workers living in Gyeonggi-do participated in this study and completed structured questionnaire. The knowledge of hepatitis A was assessed by the questionnaire which researchers developed. Health perception was measured by Health Perception Scale (Ware, 1979) while health promoting behavior was assessed by Lee's(2006) questionnaire. These data were analyzed with Pearson correlation coefficient, t-test, ANOVA. Results: The knowledge score of hepatitis A was 9.53; the health perception score was 3.71; the health promoting behavior score was 3.38. There were no significant differences in knowledge of hepatitis A, health perception, and health promoting behaviors. However, A significant correlation was found between health perception and health promoting behaviors. Conclusion: The knowledge of hepatitis A found to be low. Therefore further study needs to develop nursing interventions that could improve knowledge and awareness of hepatitis A.

• Journal of Korean Public Health Nursing
• /
• v.16 no.2
• /
• pp.254-270
• /
• 2002

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in women student of high school. 286 students were selected by a convenience sampling method. The data were collected by self - reported questionnaires from 10 to July 13, 2002. The data were analyzed by using descriptive statistics, pearson correlation coefficient, stepwise multiple regression with SPSS program. The result of this study were as follows: 1. The average score of health promoting behavior was 2.46 of a 4 point scale. Sanitary life(3.05), interpersonal support(2.80), alcohol & smoking(2.79) Self actualization(2.76), habit of meal(2.52), rest & sleeping(2.33) regulation of meal(2.30) stress management(2.05), health responsibility(1.91) were also analyzed. 2. Health promoting lifestyle showed significant positive correlations with self-esteem (r=0.446, p<0.00l), life orientation test(r=.493, P<0.0l) and score(F=6.157, P=0.002) 3. Perceived health state showed significant correlation with alcohol & smoking subscale(r=-.134, P<0.05) of health promoting lifestyle. Self-esteem showed significant correlation with total health promoting lifestyle(r=.538, P<0.01), and showed significant correlation self-actualization subscale(r=.657, P<0.01) health responsibility subscale (r=.272, P<0.01), food regulation subscale(r=.126, P<0.05), interpersonal relationship subscale (r=.468, P<0.0l), stress management subscale(r=.349, P<0.01) sanitary life subscale (r=.282, P<0.01) sleep & rest subscale(r=.123, P<0.05). Life orientation test showed significant correlation with total health promoting lifestyle(r=.493, p<0.01), self­actualization subscale(r=.643, p<0.01) health responsibility subscale(r=.192, P<0.0l), habit of meal subscale(r=.215, p<0.01), interpersonal relationship subscale(r=.423, p<0.01), stress management subscale(r=.345, p<0.01) sanitary life subscale(r=.191, p<0.01) sleep & rest subscale(r=.137, P<0.05). Stress response showed significant correlation with sleep & rest subscale(r=-.137, P<0.05) of health promoting lifestyle. 4. The combination of self-esteem. life orientation test explained $33.2\%$ of the variance in health promoting lifestyle. On the basis of the above findings. self-esteem and Life Orientation Test were identified as the variables which explained most of Pender's health promoting model. Nursing strategies enhancing self-esteem and Life Orientation Test which have a more significant effect on health promoting lifestyles should be developed.

• Korean Journal of Health Education and Promotion
• /
• v.18 no.3
• /
• pp.11-36
• /
• 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.

• The Korean Journal of Rehabilitation Nursing
• /
• v.9 no.2
• /
• pp.134-144
• /
• 2006

Purpose: This study was done to investigate correlations among Health Promoting Lifestyles, Health Risk Indicators, Activities of Daily Living, and Depression of the in-house stroke patients. Method: The subjects were 58 in-house stroke patients in a health center and two welfare centers. Data was collected using questionnaires and measuring health risk indicators such as blood pressure, total cholesterol, triglyceride, blood sugar, body fat rate. Data was analyzed using descriptive statistics, t-test, ANOVA, and Pearson correlation coefficients. Result: The health promoting lifestyle performance showed a significant negative correlation with health risk indicators and depression. There was a significant negative correlation between activities of daily living and depression. Conclusion: Health promoting lifestyle which focus on regular physical check-up, medication, diet management, exercise, smoking cessation, drinking abstinence, and stress management should be developed to improve health risk indicator and depression of the in-house stroke patients.

• Journal of Korean Public Health Nursing
• /
• v.13 no.2
• /
• pp.183-201
• /
• 1999

This descriptive correlational study was conducted to identify the variables related to health promoting lifestyle of girls in High school students. 156 high school students and 88 vocational high school students who lives 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 SAS progrom. The results of this study were as follows : 1. The average score of health promoting lifestyle performance was 2.34(SD=.36)points by the 4 point scale. 2. The combination of self-efficacy. internal health locus of control. mather's educational level and type of school explained $41.31\%$ of the variance of health promoting lifestyle. 3. Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.001), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). 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 the most part of the Pender's health-promotion model. Nursing strategies enhancing self-efficacy which has the most significant effect on health promoting lifestyle should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.

• Korean Journal of Adult Nursing
• /
• v.12 no.1
• /
• pp.64-76
• /
• 2000

The purpose of this study was to identify the major factors affecting performance in health promoting lifestyle of the elderly. The subjects for this study were 244 elderly person over the age of 60, living in K country, Kyongnam. Data were collected from August 31 to September 30, 1998. The collected data were analyzed with an SPSS program using frequency, percent, mean, cronbach alpha, t-test, ANOVA, Pearson' coefficients of correlation, Duncan test, and stepwise multiple regression. The results are summarized as follows. 1) The average score of performance in the health promoting lifestyle was 2.73. The variable with the highest degree of performance was regular diet(3.29), whereas the one with the lowest degree was self-control(2.22). 2) Performance in the health promoting lifestyle was significantly correlated with self esteem(r=.28, p=0.00), internal health locus of control(r=.58, p=0.00), powerful others health locus of control(r=.48, p=0.00), chance health locus of control(r=.25, p=0.00), perceived health status(r=.53, p=0.00). 3) Performance in the health promoting lifestyle was significantly correlated with such demographic variables as education level (F=9.47, P=0.00), marital status(F=2.63, P=0.05) and previous occupation(F=3.85, P=0.00). 4) The combination of internal health locus of control, powerful others health locus of control and perceived health status explained 43.4percent of the variance of health promoting lifestyle On the basis of this study, other factors affecting others health promoting lifestyle should be identified.

• Women's Health Nursing
• /
• v.8 no.3
• /
• pp.358-370
• /
• 2002

The purpose of this study was to investigate the relationship between college women's resourcefulness and health promoting behaviors. The subjects were 215 college women students who were non-married and ranged in grade from 1 to 4. Data was collected from Nov. 1 to Nov. 30, 2001 by a structured questionnaires. The instruments, which were modified by researcher and used for this study, were the revised Health Promotion Lifestyle Profile (HPLP) developed by Walker, Sechrist and Pender(1987), the Resourcefulness developed by Rosenbaum(1980) and the general characteristic scale developed by the researcher. The data were analyzed by the SPSS/PC+ program using t-test, ANOVA, Pearson Correlation Coefficient and stepwise multiple regression. The results were as follows : 1. The mean score of resourcefulness was 109.29(range:$36\sim180$). 2.There were statistically significant difference in the score of resourcefulness according to the grade(F=2.889, P=.037) and drinking(t=-3.264, P=.002). 3.The mean score of health promoting behaviors was 107.21(range: 44~176). 4.There were statistically significant difference in the score of the health promoting behaviors according to the grade(F=.141, P=.039), smoking(t=-3.314, P=.008) and drinking (t=-4.091, P=.000). 5. College women's degree of resourcefulness showed a positive correlation with the degree of health promoting behavior (r=.573, P=.000). 6. By means of multiple regression analysis, the resourcefulness provided explained 32.9% of health promoting behavior. In conclusion, the resourcefulness should be considered when developing nursing strategies for college women, especially when dealing with the health promoting behaviors. The recommendations from this study necessitate of further studies to investigate how smoking and drinking have an effect on the health promoting behaviors.

• Korean Journal of Adult Nursing
• /
• v.12 no.1
• /
• pp.112-121
• /
• 2000

The purpose of this study was to define the degree of the resourcefulness and the health-promoting behavior of cancer patients, to identify the relationship between the resourcefulness and the health promoting behaviors and to provide the basis for strategic nursing intervention. This study was conducted by an exploratory survey. Data were collected by self-reported questionnaires from 97 cancer patients in a university hospital in Tae-Gu from September to December of 1998. The sample data were collected by using a convenient sampling method. The following instruments were used in the study after some adaptation : Park Chai Soon's Health Promoting Lifestyle Profile, Oh Pok Ja's instrument for health promotion behavior and the Rosenbaum self-control schedule(SCS). The reliability of instruments was tested with Chronbach'alph(.79-.89). Data was analyzed by using the SAS program. T-test, ANOVA, and Pearson's coefficients of correlation. The results of this study were as follows: First, the average score of the resourcefulness variable was 22.20; the range of the score was from -30 to +81 The average score of the performance in the health promoting behavior variable was 96.13; the range of the score was from 39 to 137 Second, the resourcefulness variable was significantly different from such demographic factors as gender and perceived health status, but there was no statistically significant difference between the demographic factors and the health promoting behavior variable, except that of perceived health status. Third, the performance in health promoting behavior of cancer patients was significantly correlated with the resourcefulness of cancer patients(r= .50) In conclusion, resourcefulness was identified to be an important variable that could contribute to promote health-promoting behavior.

• Korean Journal of Occupational Health Nursing
• /
• v.25 no.4
• /
• pp.311-319
• /
• 2016

Purpose: This study examined association of job stress with health-promoting behaviors and objective health status in 129 clinical nurses working at a university hospital. Methods: A cross-sectional and descriptive design was used. Job stress and health behaviors were measured with Korean Occupational Stress Scale and Heath Promoting Lifestyle Profile-II, respectively. Health status measured with afternoon plasma cortisol, C-peptide, and lipid profiles. Results: The level of job stress among clinical nurses was moderate with 51.41 on average. The mean for health-promoting behavior in the low stress group was significantly higher than that in the high or moderate stress groups (p<.001). The proportions of nurses with high C-peptide and cortisol levels, or low high-density lipoprotein levels, ranged from 14.0% to 35.7%. In particular, the percentage of nurses with high C-peptide levels was significantly higher in moderate and high stress groups than in the low stress group (24.1% versus 11.6%, p<.05). Conclusion: The study findings affirmed the associations of job stress with health-promoting behaviors as well as selected health status indicators such as C-peptide in clinical nurses. Job stress management intervention can help clinical nurses to improve their health-promoting behaviors and health status.