• Journal of Korean Academy of Nursing
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• v.30 no.4
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• pp.880-892
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• 2000

The purpose of this study was to investigate the factors influencing health perception in the elderly, to provide the basic data for health behavior program and nursing intervention. The subjects of this study were 240 elderly person over the age 60, living in Seoul and Kangnung. They were conveniently sampled for this study and the data was collected from June 1999 to September 1999. The instruments for this study were the Health Perception Questionaire developed by Ware(1979), the OARS Functional Assessment Questionaire (Duke University 1978), and Multidimensional Health Locus of Control by Wallston, Wallston, and De Vills(1978). The data were analyzed by using SPSS Win computer Program. The results are as follows; 1. The total mean score of the health perception was 52.02(S.D=${\pm}$7.07) in a range of 33 to 69, and the mean score of the functional status was 27.02 (SD=${\pm}$2.75) in a range of zero to 28 and the mean score of the health locus of control was 65.66(S.D=${\pm}$8.68) in a range of 43 to 90. And The mean scores on the HLOC subscales were HLOC-I: 23.73${\pm}$4.56 (range: 6-30), HLOC-P: 23.07${\pm}$4.74 (range: 6-30), HLOC-C: 18.55${\pm}$4.03 (range: 11-30). 2. There was a significant positive correlation between health perception and functional status(r=.216, p=.001), and health perception and the health locus of control(HLOC) were not correlated at the level of statistical significance. However, the HLOC-I and health perception were correlated positively(r=.328, p=.000), and the HLOC-P were correlated negatively (r=-.129, p=.046). 3. There was a significant difference statistically in the degree of health perception according to the age(F=3.351, p=.002), spouse(t=2.232, p=.021), education level(F=7.373, p=.001), disease(t=3.639, p=.000), group activity (t=2.458, p=.015). drink(t=2.327, p=.021). 4. Stepwise multiple regression analysis revealed that the most powerful predictor of health perception was internal health locus of control. A combination of HOLC-I, functional status, HLOC-P, group activity explained 17.9% of the variance for health perception in the elderly. In conclusion, the results of this study show that internal health locus of control factor is very important in explaining the health perception for the elderly. Therefore, it will be considered internal health locus of control factor in nursing intervention and program in order to enforce the health behavior for elderly people .

• Journal of Korean Clinical Nursing Research
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• v.21 no.1
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• pp.80-91
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• 2015

Purpose: This study aimed to identify the relationships among bowel function, health locus of control, anxiety, and depression in patient with rectal cancer. Methods: This study utilized a descriptive correlational design. Subjects were 200 rectal cancer patients who attended out-patient clinic in a colorectal cancer center. The study instruments included the scales for bowel function, health locus of control, anxiety, and depression. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, and Pearson's correlation coefficient. Results: The mean score of bowel function was $34.44{\pm}5.73$. The mean scores of internal HLOC, chance HLOC, doctor HLOC, and powerful others HLOC were $29.06{\pm}6.81$, $22.41{\pm}6.96$, $15.88{\pm}2.85$, and $10.72{\pm}4.68$ respectively. The mean scores of anxiety and depression were $4.49{\pm}3.95$ and $6.25{\pm}3.98$, respectively. There were significant negative correlations between bowel function and anxiety (r=-.180, p=.011); between bowel function and depression (r=-.267, p<.001); and between internal health locus of control and depression (r=-.149, p=.035). There were significant positive correlations between chance health locus of control and depression (r=.146, p=.039), and between anxiety and depression (r=.651, p<.001). Conclusion: It is suggested that anxiety and depression for the patients with low bowel function after colorectal cancer surgery should be evaluated and nursing interventions to enhance internal health locus of control need to be developed.

• Korean Journal of Health Education and Promotion
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• v.5 no.2
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• pp.90-109
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• 1988

This study was carried out to find the influencing factors on the acceptance of vaccination of viral hepatitis type B. Two groups of students, 362 undergraduates of Korea University were surveyed for research. The compliant group was 156 students who were inoculated with viral hepatitis type B shot more than one time. The non-compliant group was 206 students who were not inoculated. The measures used for this study were Multidimensional Health Locus of Control Scales and the one developed by the researcher on the basis of literature review about Health Belief Model. The results of this stuby were as follows. The awareness on health of the compliant group was higher than that of the non-compliant group(t=0.39, P<0.05), And perceived barrier of the compliant group was lower than that of the non-compliant group(t=0.35, P<0.05). But the knowledge about the viral hepatitis type B of the compliant group was lower than that of the non-compliant group(t=2.49, P<0.05). There were no differences between two groups in the perceived susceptibility of the hepatitis and the perceived benifit of the hepatitis vaccination. There was no difference between two groups in terms of the Inner Health Locus of Control (HLOC) and Chance HLOC. On the other hand Powerful-Others HLOC of the compliant group was higher than that of the non-compliant group(t=3.67, P<0.05). 'Parent's advice' was found to be the major answer to the motive of being vaccinated in the compliant group. This explains that the most influencial factor in determining one's health behavior is the parent's opinion. Answers to the question of the reason of not being vaccinated were, 'did not want to bother' and 'did not care yet' in order. As a whole, except for the awareness on health and the perceived barrier of the hepatitis vaccination, this study result shows disagreement with the past investigations on the inter-relationship between one's health belief or Health Locus of Control and the health behavior. The author of this study believes this was due to the limitation in the survey group's particular homogenity.

• 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.

• Women's Health Nursing
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• v.16 no.2
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• pp.157-165
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• 2010

Purpose: The purpose of this study was to identify differences in Health Locus of Control (HLOC), depression, wellbeing, and Health Promoting Lifestyle Profile II (HPLP) between middle aged Korean and Korean-American women. Methods: Data from 80 Korean-American women living in Los Angeles, USA and 82 Korean women living in W-city, Korea, were collected using a self administered questionnaire including items on HLOC, HPLP, a Wellbeing Index and Major Depression Inventory. Results: There were statistically significant differences between the middle aged Koreans and Korean-Americans on mean age, education, religion, and current health insurance. Significant differences were found on HLOC (F= 2.504, p=.033) and Wellbeing (F=2.451, p=.036). The results also showed significant differences on HPLP (total HPLP, F=4.655, p=.001; physical activity, F=2.967, p=.014; nutrition, F=4.250, p=.001; spiritual growth, F=4.398, p=.001; interpersonal relations, F=2.648, p=.025; and stress management, F=5.201, p<.001) using ANCOVA. However, there were no significant differences on depression, or health responsibility in HPLP between the groups. Conclusion: Understanding middle aged women's health adjustments based on their culture will enhance the ability of health professionals to provide culturally congruent care and enable middle aged women to develop healthy lifestyles.

• The Journal of Korean Academic Society of Nursing Education
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• v.10 no.2
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• pp.229-238
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• 2004

This study was conducted to identify the factors affecting smoking cessation behavior of the university student smokers for developing the effective smoking cessation program. For this purpose, data were collected from 64 students registrated at the university health center for anti-smoking acupuncture through May, 2003. Data were analyzed with percentile, mean, t-test, ANOVA, pearson correlation by SPSS/PC program. The results were as follows ; There was significant relationship in the scores on perceived benefits(t=-2.05, p=.045), chance-health locus of control(t=-2.28, p=.026) and nicotine dependence (t=-1.96, p=.056) according to the grade. And also there was significant increase in the nicotine dependence in the higher grades. There were significant positive relationship between external locus of control and perceived benefits(r=.389, p=.001), perceived barriers and benefits(r=.457, p=.000), and significant negative relationship between the daily life activities and perceived barriers(r=-.350, p=.005). From these results, it can be concluded that the effective smoking cessation program could be considered of perceived benefits & barriers, and nicotine dependence to promote anti-smoking behavior for university student smokers.

• Research in Community and Public Health Nursing
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• v.8 no.1
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• pp.45-60
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• 1997

Essential hypertension is a typical chronic disease requiring adequate and continuous management. Many studies supported that self-care was the essential factor to promote the wellbeing of hypertensives and self-efficacy increased healthy, behavior. The comprehensive self-regulation program was conducted as a nursing intervention on the promotion self-care performance for hypertensives in company. And this self-regulation program was recommended to apply for hypertensives in rural area. The purpose of this study is to identify the general characteristics affecting self-care and interrelationship among the factors including self-care, self-efficacy, HLOC, perceived benefits, barriers and family support. 40 subjects were interviewed from Dec. 1996 to Jan. 1997 and the data was analyzed by the SPSS PC+ program with t-test and multiple correlation to determine the variables affecting the self-care behavior. The results were as follows: 1) Level of self-care was significant difference according to sex(t= -2.27, p=.0l9). religion (t=1.57, p=.055) and smoking habit (t=4.42, P=.000). Perceived self-efficacy was more significantly high among the non-smoking group (t=3.25, P=.000) and female group (t=-2.534, p=.0l3). 2) There were significant positive correlation among the variables: self-care and self-efficacy (r=.5460, p=.000), external-LOC and self-care(r=.2548, p=.056), external-LOC and self-efficacy(r =. 2901, p=.035), self-efficacy and perceived benefits (r=3307, p=.019). And there were significant negative correlation between self-care and barriers (r=-.5438, p=. 000), self-efficacy and barriers (r= - .4153, p=.004). From the above results, it can be concluded that the self-care is more required in male hypertensives and self-efficacy is one of the important factors to increase healthy behavior in cluding self-care. Thus self-regulation program can be recommended in the management of the hypertensives in community settings.

• Journal of Korean Academy of Nursing
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• v.29 no.3
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• pp.700-710
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• 1999

Promoting women's health lifestyles are important due to their connection to family health. The purpose of this study was to analyse women's health lifestyles(HPL) and their effects on women's life-cycle, so in order to develop a program in a women's health care center. The subjects included were 1080 women over 18 years old living in Wonju city, and were selected by stratified and purposive sampling. The data were collected through a questionnaire and interview. The Cronbach $\alpha$, %, mean, ANOVA, Pearson's correlation, and regression in SPSS PC Win. package was used to analyze the data. The sample was sepernted into three groups premarital group 20.2%(premarital women between 18 and 40 years old), delivery and children rearing group 49.9%(marital women between 18 and 40 years old), over middle agedelderly group 29.9%(women over 41 years old). Significant difference were found in the HPL according to group. Also, relating variables, such as self-efficacy, family functions, health locus of control and gender role perception that were considered relating variables to HPL significantly differed among the three groups. HPL significantly correlated with self-efficacy, family functions, HLOC and gender role perception in all participants and at all groups. The regression analysis of HPL was interpreted 40.6% with relating variables, self-efficacy, health attention, family functions, and internal locus of control, health perception, power other locus of control and chance locus of control in all participant. Self-efficacy, family functions, health attention were considered important variables in premarital group, self-efficacy, family functions, internal locus of control, health attention, health perception and power of control were important in delivery-rearing group. Self-efficacy, health attention, internal locus of control, family functions and health perception were important in middle aged-elderly group. As a result, we found the differences HPL scores and relating variables according to life-cycle groups. Therefore, we should prepare health promoting education programs for women according to women's life cycles. Also we suggest that women's health care centers based on communities was needed for proper management of women's health.

• Korean Journal of Adult Nursing
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• v.12 no.3
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• pp.431-451
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• 2000

In this paper, I will examine the variables influencing the Quality of Life of arthritis patients and present basic materials which help arthritis patients have positive thinking in life and ultimately lead a satisfactory life. The subjects for this study are 231 inpatients and outpatients with arthritis living in J and K city in Chonbug Province. For the analysis of collected data I employed the SAS program. The variables for characteristics and the quality of life were analysed by descriptive statistics, T-test and ANOVA, and the relations among variables were analysed through Pearson Correlation; the Regression method was employed to predict the factors affecting quality of life. For the validity of reliance on measuring equipment Cronbach Alpha was used. The results of the study are as follows : (1) The mean score of quality of life of arthritis patients is 3.09(5 in the maximum). The general characteristics which affect the quality of life are age(F=5.13, p=0.0006), standard of education(F=6.49, p=0.0003), marriage status(F=7.77, p=0.0005), monthly pay(F=4.37, p=0.0020), medical benefits (F=4.85, p=0.0087), and supports(F=4.39, p=0.0050). For the disease-related characteristics, there is a significant difference in the 6 items: pain control method(F=5.92, p= 0.0002), physical therapy(F=3.25, p=0.013), whethere or not patients exercise(F=4.62, p=0.0000), regularity of exercise(F=4.79, p=0.0000), frequency of exercise(F=6.29, p=0.0001), and amount of exercise(F=4.62, p=0.0043). Depending on the type of arthritis, there is also a significant difference in the degree of pain felt. The patients with infectious arthritis suffer from pain the most, followed by those with gout, rheumatism and degenerative arthritis, in that order. Although statistics don't show any convincing evidence, those with gout perceive that they are in best health condition, followed by those with rheumatism, degenerative arthritis, and infectious arthritis, in that order(F=2.23, p=0.0669). (2) The quality of life of arthritis patients is correlated positively with perceived health status(r=0.56, p=0.0001), health promoting behavior(r=0.53, p=0.0001), family support (r=0.46, p=0.0001), amount of exercise (r=0.36, p=0.0001), ADL(r=0.36, p=0.0001), HLOC(r=0.32, p=0.0001), frequency of exercise(r=0.32, p=0.0001)in that order, while correlated negatively with the degree of pain felt(r=-0.32, p=0.0001), the number of pain regions(r=-0.19, p= 0.0041), and the duration of pain(r=-0.14, p=0.0279). (3) Regression analysis reveals that the most powerful predictor of the quality of life is perceived health status, which account for 31.11%. The other predictors of the quality of life, which account for 60.22%, are health promoting behavior(16.51%), family support(3.81%), ADL(2.52%), gender(1.86%), the number of family members(1.36%), level of pain(1.24%), duration of pain (1.08%), and level of education(0.67%). The results of the study show that perceived health status and health promoting behavior are the two most important variables. However, considering that the perceived health condition is difficult to control by nursing intervention, it is suggested that the level of expectation for patients, must be decided first, and the health promoting behavior and the family support influencing the quality of life must be taken into account as targets for nursing intervention. As a way of controlling the quality of life, I think that a more comprehensive approach comprising the above important variables along with demographic and general characteristics is needed. I also suggest that we must continue to explore the variables affecting the quality of life and include those variables in nursing intervention.