The purpose of this study was to investigate the relationship between health locus of control (HLOC) and the eating behaviors in obese high school girls. The sample consisted of 262 obese high school girls in Seoul and Kangwon-Do. The results of this study were as follows: 1. The average scores of HLOC were HLOC- Internal; 4.06, HLOC-External; 2.47, and HLOC-Chance; 2.15. 2. The average scores of eating behavior factors were Disinhibition ; 2.91, Hunger ; 2.73, Dietary Restraint ; 2.55. 3. The HLOC-Internal and eating behavior (dietary restraint, disinhibition and hunger) were correlated positively. The HLOC- Chance and hunger was correlated positively. But HLOC-Chance and other eating behavior factors (dietary restraint & disinhibition) were not correlated in the level of statistical significances. The HLOC-External and eating behavior (dietary restraint, disinhibition and hunger) were correlated positively. 4. There was not a significant difference in HLOC depending on the existence of an obese sibling. There were significant differences in HLOC-Internal and HLOC- External depending on the evaluation of one's body figure. 5. There were significant differences in disinhibition and hunger depending on the existence of obese sibling. Also, there were significant difference in dietary restraint according to self perception of who is obese or not (t=3.342, p=.001). This study has shown a correlation between HLOC and eating behavior. As a result of these findings, clinical and school nurses should be involved in management and counselling obese girls concerning individual health locus of control and eating behavior.

The purpose of this study was to identify the relationships among health promoting behaviors, Health Locus of Control(HLOC), and response patterns to Hloc in Korean elderly. The sample was composed of 162 healthy elderly ranging in age from sixties to eighties. The instruments foe this study were modified Health Promoting Lifestyle Profile (45 items, 4 scales), and Multidimensional Health Locus of Control (18 items). For the in data analysis, SPSS PC+program was utilized for descriptive statistics, Pearson correlation, t-test, ANOVA, and Stepwise multiple regression. The results of the study are as follows: 1. The total mean score for the HPLP was 2.411(range 1-4), and the mean scores on the subscales were 3.324 for nutition, 2.709 for interpersonal support, 2.495 for exercise, 2.225 for health responsibility, 2.205 for exercise, 2.225 for health responsibility, 2.205 for self actualization, 2.026 for stress management. 2. The mean scores patterns of the HLOC identified eight types, pure internal, pure powerful others, pure chance, double external, believers in control, yea sayer, nay sayer and complex control, the "believers in control"was the largest group(22.8%), and "yea sayer" was the next largest group(17.9%). The "nay ayer"(5%) was the smallest group. 3. Demographic variables, such as education, economic status, religion and the perception of the health status showed strong connections to health promoting behaviors. 4. Demographic variables, such as education, economic status, religion and the perception of the health status showed strong connections to health promoting behaviors. 5. The HLOC-I and health promoting behavior were correlated positively(r=.165, P=.017), but the HLOC-P, the HLOC-C and the health promoting behavior were not correlated at the level of statistical significance. 6. There was not significant difference in health promoting behavior depending on the response patterns of the HLOC(F=1.171, P=.108). But, There were significant differences in two subscales of health promoting behavior : exercise(F=3.279, P=.002), and stress management (F=3.165, P=.003). 7. Education, the perception of the health and economic status explained 21.0% of the variance for health promoting behaviors. These results suggest that several demographic factors are important factors in predicting the level of health promoting behaviors in elderly. So to enhance the health promoting behaviors, nurses should use the different nursing strategies depending on the demographic characters of the elderly.

The purpose of the study was to investigate the level of health behavior of school-age children and to identify the predicting variables of the school-age children's health behavior. The subject were 467 children in grades four to six, enrolled in two elementary schools located in two cities. The mean age of the subject was 10.03(SD=1.33). The data were analyzed using t-test, ANOVA, correlation analysis, and stepwise multiple regression. The result are as follows: 1. The mean of the score of health behavior of the school-age children was 154.6, showing thar they are practicing health behavior relatively well. 2. There were significant differences in the mean scores of health behavior according to grade(F=6.53, p=.001), sex(t=-3.70, p=.000), educational level of the parents(F=4.92, p=.002; F=4.47, p=.004), occupation of the patients(F=3.31, p=.003;F=4.76, p=.000), and socioeconomic status(F=11.87, p=.000). 3. There were significant correlations between health behavior and health motivation(r=.53, p=.000). self-concept(r=.32, p=.000), perceived health status(r=.16, p=.000), and health locus of control(r=.15, p=.001). 4. Health motivation, self-concept, grade, socioeconomic status, and health locus of control were identified as predictor variables of health behavior of the school-age children from the stepwise multiple regression analysis. The total percent of variance accounted for by these five variables was 35.0%. From the result, it is suggested that in the development of a school health education program, the effect of health motivation and self-concept to promote student's health behavior in school-age children should be considered.