Purpose: The purpose of this study was to investigate the effects of health behavior-related characteristics, self-esteem, activities of daily living, and family support on depression in the community-dwelling elderly. Methods: The participants were 229 elders sampled from Seoul and other five provinces. A structured questionnaire was used to collect data, and data were analyzed by applying t-test, ANOVA, Pearson correlation coefficient, and stepwise multiple regression with SAS 8.12. Results: There was a negative correlation between depression, MMSE-K, self-esteem, ADL, IADL, and family support. Depression and health behavior-related characteristics showed a significant difference according to stress level and the reason of stress. Major factors that affected the elders depression were self-esteem, the amount of alcohol drinking, sleeping hours, ADL and the cognition of health status, which explained 59.4%. Conclusion: Based on the findings of this study, self-esteem and health behavior-related characteristics including alcohol drinking, sleeping hours and ADL were the influencing factors of depression in the community-dwelling elderly. Therefore, effective psychological and physical health promotion methods need to be developed and applied in nursing interventions to prevent depression in the community-dwelling elderly.
Objective : This study was a covariance structural analysis to identify korean medicine health promotion behavior by the general characteristics of the subjects and build a predictive model and theoretical framework based on Pender's health promotion model(1996) and related literature reviews. Method : A hypothetical model was consisted of 8 theoretical variables and 27 measured variables. Related variables included Individual Characteristics and Experience, Behavior-specific cognitions and affect and Behavioral outcome. The data was collected from 802 middle and old-aged people living in Seoul and Gyeong gi province through structured questionnaires by face to face interviews between February and March, 2014. SAS ver. 9.1 and AMOS 18.0 programs were used for the data analysis. Results : Difference in the verification of Korean medicine health promotion behavior by the general characteristics, Older people who are male, with higher economic status, no chronic disease or with diabetes, no smoking, no drinking, with more exercise showed significantly higher scores, but education level has no difference. 15 paths were statistically significant among 16 paths on the direct effect, 6 paths were statistically significant among 9 paths on the indirect effect in the hypothetical model. The greatest impact variable on Korean medicine health promotion behavior was perceived self-esteem. Also, the findings showed that the higher perceived social support, perceived health status, previous Korean medicine health promotion behavior, community environment, perceived benefit and the lower perceived barrier had a significant effect on Korean medicine health promotion behavior. Conclusion : This research model has an empirical validity as the variables of this study verified their effects and significances. Therefore, the understanding of Korean medicine health promotion behavior can be increased and the utilization will be higher when seeking a comprehensive health promotion plan. Also, a strategy can be utilized the strategy for Korean medicine health promotion behavior.
This study was conducted investigate the practice of health promoting behavior in hospital workers. The subjects for this study were 529 hospital war kern working in four university hospitals in the Kyong-in area. Data were collected by using constructed questionnaires from January 13. 1997 to February 24, 1997, analyzed by descriptive statistics, ANOVA and $Scheff{\acute{e}}$ comparison test, Pearson's correlation coefficient and stepwise multiple regression. The results were as follows; 1. The mean score of health promoting behavior for hospital workers was 2.40. The health promoting behavior in relation to the characteristics of the subjects varied significantly according to sex, age, career, religion and number of children. 2. The mean score of health perception was 3.29. The health perception in relation to the characteristics of the subjects showed no statistical discrepancy. 3. The mean score of self-esteem was 3.80. The self-esteem in relation to the characteristics of the subjects varied significantly according to sex, age, occupation, educational background, religion and marital status. 4. The mean score of self-efficacy was 69.63. The self-efficacy in relation to the characteristics of the subjects sailed significantly according ding to sex, age, occupation, career, religion, marital status and number of children. 5. The mean score of internal health locus of control was 2.88. The internal health locus of control in relation to the characteristics of the subjects varied significantly according to sex and occupation. The mean score of chance health locus of control was 2.08. The chance health locus of control in relation to the characteristics of the subjects varied significantly according to occupation and religion. The mean score of powerful others health locus of control was 2.35. The powerful others health locus of control in relation to the characteristics of the subjects varied significantly according to career, educational background, marital status and number of children. 6. Performance in health promoting behavior was significantly correlated with self-esteem, self-efficacy, powerful others health locus of control, health perception and internal health locus of control. 7. The combination of self-esteem, powerful others health locus of control, health perception, self-efficacy, internal health lot-us of control, age and marital status explained 45.72% of the variance of likelihood to engage in health promoting behavior.
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 purpose of this study was to determine the relationship between social support and health behavior in girl high school students in all girl schools. The subjects were 190 girls in 2 Kunsan schools. The instruments used for this study were the social support scale developed by Park(1985) and the health behavior scale developed by Walker etc(1987). As modified by Lee & Han(1996). The data were analysed by correlation coefficient, regression coefficient using an SAS program. The results of this study were as follows: 1. The mean score of social support was 3.96 and the mean score of health behavior was 3.33. 2. 1) General characteristics were related to the degree of social support: personality, spending money, friend number, exercise(p<0.05). 2) General characteristics were related to the degree of health behavior: personality, spending money, friend number, exercise, stress(p<0.05). 3. The hypothesis of this study, 'The higher the degree of social support perceived by the student, the higher the degree of health behavior' was supported(r=0.5730, p=0.0001). For these subjects, there was a significant relationship between social support and the degree of health behavior. Nurses should plan interventions in promotion health behavior with social support as a significant factor in adolescents. If so, their coping ability and well- being may be promoted.
The study was conducted to investigate the health promoting behavior, self-esteem and social support of college students. The subjects were 170 college students(health related department and non health related department) of college in K, C, U city. The instruments used for this study were a survey of general characteristics(9 items), health promoting behavior(47 items), self-esteem(10 items), social support(25 items). Analysis of data was done by use of mean, percentage, t-test, ANOVA, Pearson correlation coefficient and stepwise regression with SAS program. The results of this study are as follows ; 1. Health promoting behavior were showed significant difference in two groups. 2. Health promoting behavior of two groups according to general characteristics were showed significnant difference in religon, personality, exercise, health food choice of A group and perceived health status, personality, exercise, health food choice of B group. 3. Significant correlation between exercise and health promoting behavior, self-esteem and social support, social support and health promting behavior in A group and between perceived health status and exercise, perceived health status and social support, perceived health status and health promoting behavior, self-steem and social support, exercise and health promoting behavior, self-esteem and health promoting behavior, social support and health promoting behavior in B group was found. 4. Significant correlations were found between most of the subscales of total health promoting behavior. 5. Predicting factor of health promoting behavior were social support and exercise in A group(51.74%) and social support, exercise and self-esteem in B group(41.18%).
Objectives: The purpose of this study was to examine the impact of chronic disease on oral health behavior. Methods: The subjects were 317 adults over 30-years old living in urban and rural areas. They were selected by convenience sampling method and filled out the self-reported questionnaire. The questionnaire consisted of general characteristics, dental treatment, chronic disease, and oral health behavior including oral health self-care behavior and professional oral health care. Results: The self-care oral health behavior and the professional oral health care had a negative correlation with the chronic diseases. Especially, the self-care oral health behavior and the professional oral health care had a statistically significant negative correlation with hypertension and osteoporosis. Multiple regression analysis was performed after including general characteristics, dental treatment, chronic disease. Meanwhile the presence of chronic disease had a significant influence on the self-care oral health behavior and the professional oral health care. Hypertension and Osteoporosis were the most influential factors of chronic diseases and had a significant influence on the oral health behavior. In conclusion, the chronic diseases aggravated the oral health behavior practice. Conclusions: presence of chronic disease affects oral health behavior. Therefore, the effective intervention and education programs related to oral health care are necessary to enhance adult's oral health behavior and total health. The continuous follow-up study will determine the causal relationship between oral health behavior and the presence of chronic disease.
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.
Purpose: The purpose of this descriptive study was to identify the influence of health literacy and health empowerment on health behavior practice in elderly patients with coronary artery disease. Methods: 239 elderly outpatients older than 65 years of age were included. The data were analyzed with descriptive statistics including independent t-test, ANOVA, and hierarchical regression. Results: Major factors having a significant impact on health behavior practice were health literacy (${\beta}=.26$, p<.001) and health empowerment (${\beta}=.32$, p<.001). Health literacy was increased by 4.7% after controlling for general and health-related characteristics. Health empowerment increased by 5.9% after controlling for general and health-related characteristics, and health literacy. The two variables explained 35% of the variance in health behavior practice (F=7.74, p<.001). Conclusion: The main findings of this study can be utilized as the foundation for developing programs to promote health empowerment and health behavior practice of the elderly population. Furthermore, the results of the study can also be used to establish health-related strategies.
Objectives: The purpose of this study is to identify risk behavior related to the school accident between male and female elementary school students. Methods: 838 School accident data provided by Seoul School Safety Council were analyzed by gender. Based on the results above, survey questionnaires on characteristics of school accident were developed. Self-reported data were collected from a sample population of 433 students in grade 5 to 6 students attending 4 elementary schools in Seoul. Results: The students who answered they experienced the accident in school for the past 1 year, accounts 60.5% of male and 39.5% of females students, which has statistically significant difference. The male's cases happened most around corridor/door, while female's cases happened most in the playground/gymnasium. As for the accident risk behavior, male students had the risk behavior by using the personal belongings/toys, while the female students had much risk behavior related to physical facility/playground. When classifying the characteristics of risk behaviors according to the accident causes, male students showed higher score in the accident risk behaviors related to play/fight than in those of the female students(p<0.05). Conclusions: Health care providers should develop school safety programs by characteristics of risk behavior between male and female elementary school students.
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