• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.739-750
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• 1998

The purpose of this study was to identify the response patterns of Health Locus of Control (HLOC) and to analysis of the health promoting behaviors depending on the response patterns of HLOC in Korean adults. The sample was composed of 300 healthy adults ranged from twenties to seventies. In data analysis, SPSS PC/sup +/ program was utilized for descriptive statistics, pearson correlation, ANOVA and cluster analysis. The results of the study were as follows : 1. The average scores of HLOC in Korean were HLOC-I : 24.12(range 6-30), HLOC-P : .21.72, HLOC-C : 17.46. 2. The total mean score of the health promoting behavior scale was 2.50 (range 1-4), and the mean scores on the subscales were ; self actualization 2.60, health responsibility 2.14, exercise 2.28, nutrition 3.16, interpersonal support 2.74, stress management 2.15. 3. The HLOC-I and health promoting behavior were correlated positively(r =0.184, p=0.001), and the HLO-C and the health promoting behavior were correlated negatively(r=-0.102, p=0.039). The HLOC-P and the health promoting behavior weren't correlated in the level of statistical significance. 4. The response patterns of HLOC in Korean adults were identified 6 types, such as pure internal, pure chance, believers in control, yea sayer, nay sayer, and complex control. The type of believers in control and the type of yea sayer were subdivided in two different types. The believers in control was the largest group(33.67%), and yea sayer was the next large group(26.33%). The pure chance and the complex control type was the smallest groups. 5. There was a significant difference in health promoting behavior depending on the response patterns of HLOC(F=2.67, p=0.010). There were also significant differences in 4 subscales of health promoting behavior : self actualization(F=3.12, P=0.003), health responsibility(F=2.15, P=0.038), nutrition(F=5.08, p=0.000), and interpersonal support(F=2.26,p=0.029). These results suggest that the response patterns of HLOC is the important factor to predict the level of health promoting behavior in Korean adults.

• Journal of Korean Academy of Nursing
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• v.29 no.3
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• pp.625-638
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• 1999

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 for 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 uilized 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 self actualization, 2.026 for stress management. 2. The mean scores for the HLOC in the elderly were HLOC-I : 23.531, HLOC-P : 21.914, HLOC-C : 18.667. 3. The response 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 sayer”(5%) was the smallest group. 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 behavior, nurses should use the different nursing strategies depending on the demographic characters of the elderly.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.9 no.3
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• pp.399-411
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• 2002

Purpose: This study was done to investigate the application of complementary and alternative therapies (CAT) in patients with chronic liver disease. and to analyze the Influence of health locus of control (HLOC) on CAT. Method: Questionnaires on CAT and a multidimensional health locus of control (MHLOC) scale developed by Wallston and Wallston were completed by 141 patients. Result: Analysis showed that 44.7% of the patients had experience with CAT and 49.2% of the patients reported being willing to use CAT. Reliability scores for the scale were HLOC-I 0.7376, HLOC-P 0.6383, HLOC-C 0.7351. The mean scores for the HLOC were HLOC-I 24.86, HLOC-P 22.86, HLOC-C 16.00. There were no significant differences in mean scores for HLOC between the patients who had used CAT and those who had not. Eight response Patterns for HLOC were identified. Among them, 'yea sayer' was the largest group (27.0%). A significant difference was found in the 'yea sayer' pattern between the group who had used CAT and the group who had not. Conclusion: CAT relates to various cognitive factors such as HLOC. Further study is needed to examine the influence of HLOC on CAT and its response patterns.

• Women's Health Nursing
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• v.16 no.2
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• pp.116-125
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• 2010

Purpose: The purpose of this study was to investigate the relationship between health locus of control, exercise self-efficacy and exercise benefits / barriers of female college students. Methods: Convenient sampling was used to recruit participants from a University based in Pusan. Data were collected from October 15 to December 20, 2007, and participants were 322 students. The questionnaires administered consisted of Multidimensional Health Locus of Control (HLOC) Scales, Exercise Self-efficacy Scale, and Exercise Benefits / Barriers Scale. Descriptive statistics, ANOVA, and Pearson's correlation coefficients were used to analyze the data. Results: The mean scores for the HLOC among female students was HLOC-I: 22.24, HLOC-P: 16.82, HLOC-C: 15.16. The mean scores were exercise self-efficacy: 37.45, exercise benefit: 2.96, and exercise barriers: 2.89. The 'double external' response pattern of HLOC was the largest group in female students with significant difference in exercise benefit between response patterns of HLOC. There were significant correlations between HLOC-I, exercise self-efficacy, and exercise benefit/barriers. Conclusion: The results of this study suggest that tailored health management program by pattern of HLOC should be developed to promote the exercise behavior and enhance the exercise self-efficacy and benefit for female students.

• The Journal of Korean Academic Society of Nursing Education
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• v.8 no.1
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• pp.38-50
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• 2002

The purpose of this study is to identify the relationship among injury prevention practices, health locus of control, and response patterns to HLOC of the elderly. Subjects were 121 healthy elderly. The data had been collected from November 5 to 18 in 2001 and analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation and stepwise multiple regression. Health locus of control and injury prevention practices were measured by using MHLC scale and an instrument created by the researcher on the basis of the results of literature review respectively. The results of this study were as follows: The mean score of injury prevention practices was 2.80 and the mean scores for the health locus of control were internal health locus of control : 17.25, external health locus of control : 16.09, and chance health locus of control : 14.26. The response patterns of the HLOC identified were six types; pure internal, pure powerful others, pure chance, double external, believers in control, and complex control. The 'pure internal' was the largest group(35.5%), and the 'believers in control' was the next(31.4%). The relationship between internal health locus of control and the injury prevention practices of the elderly revealed a significant correlation(r=.215, p=.018). The relationship between external health locus of control and the injury prevention practices of the elderly revealed a significant correlation (r= .208, p=.022). There was significant difference between response patterns of the health locus of control and injury prevention practices(F=2.393, p=.042). There were significant differences between injury prevention practices and general characteristic factors, which were education, family type, administration of medication, injury experience, ADL, and self-directed search for health information. Self-directed search for health information, injury experience, and education explained 16.7% of the variance for injury prevention practices. The above results may be used as the basic data for seeking more efficient way of improving safety of the elderly.