Purpose: This study was designed to compare health habit and self-rated health status among early adulthood women in 1995, 2001, and 2007. Also, it was performed to determine correlations between health habits and self-rated health status. Methods: This research was investigated to identify a transition of health habits and self-rated health status. Participants who agreed to participate in the study were 18~25years old college women. Data was collected from 380 college students in 1995, 196 college students 2001, and 411 college students in 2007. Health habit assessment questionnaire was developed by authors. The reliability of the questionnaire were Cronbach $\alpha$=.87. Cronbach $\alpha$=.85, Cronbach $\alpha$=.90. The visual analogue scale which had 100 self-rating scores was used. All statistical analyses were used the Statistical Package for Social Sciences for Windows, Statistical analyses included descriptive statistics, Levene's test, repeated measure ANOVA, Brown-Forsythe test, Turkey test, Games-Howell test, and Pearson correlation coefficient test. Results: Health habit level, and self-rated heath status were significantly increased over time after 1995. Health habits was correlated with self-rated health status. Conclusion: Health habits and self-rated health status were influenced by health environments. Health practitioner can use perceived health status to access health habits.
Purpose: The purpose of this study was to investigate the relation between perceived health status and health-promoting behaviors in female college students. Method: Data were collected from December 10 to 31. 2007. In 160 female college students, perceived health status was measured using the Medical Outcomes Short-Form Health Survey (SF-36), and health-promoting behaviors using the Health Promoting Lifestyle Profile (HPLP). Results: The major findings of this study were as follows: 1) The mean scores of the level of health promoting behaviors, physical health status, and mental health status were 2.44 (SD=0.39), 51.9 (SD=8.03), and 42.56 (SD=10.77), respectively. 2) Health-promoting behaviors were correlate with physical health status (r=-.361) and mental health status (r=.498). 3) Health-promoting behaviors were significantly associated with allowance and mental health in capability, which explained 28.9% of variance in health-promoting behaviors. Conclusion: The results suggest that it is necessary to strengthen female college students' practice of exercise and responsibility for health in order to improve their health promotion behaviors. Also, the results of this study give useful information for designing interventions and program development for female college students' appropriate health promoting life.
The purpose of this study is to provide a basis for nursing intervention strategies to enhance health promoting practice that are constructive to a healthy lifestyle. Data were collected through self-reported questionnaires from 281 middle-aged women living in Seoul, Kyeung ki, Taegu, Kyeung pook, and Kyeung nam from July to September 1997. The following instruments were used in the study after some adaption : scale of perceived health status, self-esteem, perceived benefits, family hardiness index, purpose in life, Walker and other health promoting lifestyle profiles. The data were analyzed, by t-test, ANOVA Scheffe's Pearson's correlation & stepwise multiple regression, by using the SAS program. The results are as follows : 1) The average score for the health promoting lifestyle was 2.65. In the sub-categories, the highest degree of practice was self-actualization (2.91), and in the lower degree was health responsibility (2.13). 2) In the relation ship between social demographic and health promoting lifestyle there were significant differences ineducation, occupation, economic status, and type of family. 3) There is a significant correlation between perceived health status, self-esteem, perceived benefits, family hardiness index, existential vacuum and total & subcategory health promoting lifestyles. 4) Existential vacuum was the highest factor predicting a health promoting lifestyle for middle-aged women (38.0%). 5) Existential vacuum, commitment and self-esteem accounted for 45.9% of the total variance.
Purpose: This study examined the effect of perceived health status, depression and job stress on job satisfaction among child care providers. Methods: Data were from a convenient sample of 154 child care providers with a self-administered questionnaires from July 6th to September 26th, 2013. Collected data were analysed on SPSS WIN 18.0. Results: Child care providers had above medium degree of perceived health status, low degree of depression, low degree of job stress and above medium degree of job satisfaction. Predictive factors of job satisfaction among child care providers included job stress(Adj.$R^2$=.216, ${\beta}$=-.425, p<.001). Conclusion: These results suggest that educational program development needs to increase the job satisfaction among child care providers. Exploration of strategies to reduce the job stress will be necessary in order to increase of the job satisfaction.
Purpose: The purpose of this study was to identify the impact of activities of daily living, instrumental activities of daily living and depression on life satisfaction among aged women. Methods: The sample consisted of 309 aged women of over 60. Data were analyzed using t-test, ANOVA, Pearson correlation coefficient and multiple regression analysis. Results: Significant factors affecting the life satisfaction were spouse, religion, perceived health status, age, and depression. The most significant variables among them were depression and perceived health status. The explanatory power on life satisfaction was 57% in regression model. Conclusion: Depression and perceived health status are important variables to influence on life satisfaction. Therefore, it is suggested that nursing intervention to reduce or prevent depression and enhance health status should be developed to promote quality of life in aged women.
Purpose: This study was undertaken in order to examine the relationships of control, perceived health status, self-efficacy, social support, and demographic characteristics for a health promoting lifestyle in college women, and to determine the factors affecting a health promoting lifestyle of women in the early stage of adulthood. Method: There were 161 students from one university in K city. The instruments used for this study were a survey of general characteristics, a health promoting lifestyle (47 items), control (8 items), perceived health status (6 items), self-efficacy (17 items), and social support (18 items). The data analysis was done by use of mean, percentage, t-test, ANOVA, Pearson Correlation coefficients and stepwise regression with the SPSS Win (Version 10.0) program. Results: The results of this study are as follows : 1) The average item score for the health promoting lifestyle was low at 2.39. In the sub-categories, the highest degree of performance was interpersonal support (2.97), and the lowest degree was health responsibility (1.76). 2) In the relationship between social demographics and a health promoting lifestyle, there were significant differences in age, disease experience, and the family's disease experience. 3) Social support revealed only significant correlations with a health promoting lifestyle. 4) Social support was the highest factor that predicted a health promoting lifestyle in college women (15%). Social support, age and disease experience accounted for 20% in a health promoting lifestyle of college women.
Purpose: The purpose of this study was to investigate factors that influence married female immigrants' perceived health status. Methods: This study was a retrospective review of dataset from the 2012 National Multicultural Family Survey in Korea. Data were analyzed using descriptive statistics, t-tests, an analysis of variance (ANOVA), Pearson correlation analysis, and multiple regression with the data of 3,014 married female immigrants. Results: Multiple regression analysis showed that demographic factors (age, education level, nationality, period of residency in Korea, and residential area), socio-economical factors (monthly family income, employment, support from the government for basic living, and Medicaid), social support factors (marital conflict, satisfaction with family relationships, some one to talk about self or family matters, meeting with homeland friend, and participation in community meeting), and immigration factors (life satisfaction, experience of social discrimination, and difficulties with living and using medical care) were associated with perceived health status. Conclusion: It is important to pay closer attention to immigrant women who have low economic status, less social support, experience difficulties with living in Korea and using medical care. An effective support system for this population should be developed in order to help them successfully transition.
The purpose of this study was to identify the factors influencing health promoting behavior of college students to develop health promoting interventions of young adults. The subjects of this study were 176 women college students, living in a small city in Korea. The data were collected by interviews and a self-report questionnaire, during the period from September, 1999 to December, 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 perceived health status and the importance of health, the health promoting behavior scale by Walker et al.(1987), and the scales developed by the authors for the perceived benefits of health promoting behavior, and perceived barriers to health promoting behavior. Cronbach 's alpha of these scales were .68 ~.89. 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, self efficacy, the perceived health status, and the perceived benefits had a significantly positive correlation with the scores of the health promoting behavior of college students. In addition, the scores of the perceived barriers had a significantly negative correlation with the scores of the health promoting behavior of college students. 2. Among modifying factors of the Health Promotion Model by Pender(1987), the extent of religious activities of college students and the scores of social support had a significantly positive correlation with the scores of health promoting behavior of college students. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, the perceived benefits, the perceived barriers, the perceived health status, and the importance of health accounted for 45.1% of the variance in health promoting behavior in college students From the results of this study, we concluded that the Health Promotion Model by Pender can be used to explain health promoting behavior of college students. In addition, we suggested that the results of this study be considered in developing health promoting programs of young adults.
The Journal of Korean Academic Society of Nursing Education
/
v.6
no.2
/
pp.218-232
/
2000
This study was done in order to analyze the relationship between Health condition, Health concept and Health promoting behavior in College Women. The subjects were 275 students from a college in Kyungbuk. The instruments used for this study were made of General characteristics (8 items), Health condition (3 item), Health concept (20 items) and Health promoting behaviors (40 items). The data were analyzed by SPSS/PC+ program using descriptive statistics, ANOVA, Pearson's Correlation Coefficient and Multiple Stepwise Regression. The results of this study were as follows. 1. The mean score of the Health promoting behavior was 2.3604. Among the subcategories, the highest degree of performance was interpersonal support (2.9133). 2. Health condition, Heath concept and Health promoting behavior according to general characteristics were as follows. 1)Perceived health condition had statistically significant differences according to board & lodging and living together (p=.040, p=.027). 2)Health concept had a statistically significant differences according to religion (p=.006). 3)Health promoting behavior had statistically significant differences according to age(p=.005). 4)Among the subcategory of Health promoting behavior, statistically significant differences were founded between nutrition and age / board & lodging (p=.004, p=.040), between self actualization and age(p=.006), between health responsibility and age/social economic status(p=.013, p=.000). 5. Correlations of Health condition, Health concept and Health promoting behavior were as follows. 1) BMI was positively correlated with perceived health status(r=.145, p=.015). 2)Health concept was positively correlated with BMI(r=.136, p=.032), perceived health condition(r=.148, p=.015), health promoting behavior (r=.316, p=.000). 6. Correlations of Health condition, Health concept and subcategories of Health promoting behavior were as follows. 1) Perceived health status was positively correlated nutrition (r=.168, p=.006). 2) Health concept was positively correlated with nutrition, stress management, self actualization and interpersonal relationship (r=.153 p=.011, r=.217 p=.000, r=.354 p=.000, r=.193 p=.001). 7. Health concept explained 10.1% of the variance for Health promoting behaviors.
The purpose of this study was to investigate the perceived health status and to find various factors affecting it of the aged. The sample size of this study were 206 cases. The subjects were over sixty-five years old persons in rural area. Data were collected with direct interview using the questionaires. The analysis of data was done by using SPSS package. The results of this study are summarized as follows : 1. Perceived health status of the aged were measured by 5 point rating scale and whole mean value was 3.024.(For men, 3.302 and for women. 2.782) 2. Perceived health status. functional health status and number of diseases have significant correlations.(P<0.01) 3. The main factors affecting the perceived health status were age. sex and education level.
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