Purpose: The Purpose of this study was to examine the degree of obesity stress and analyze factors having an effect on obesity stress among college women. Method: The subjects were 347 female students from a university in J City. Data were collected using a self-report questionnaire for general characteristics, health-related characteristics, and current and preferred somatotype. Obesity stress was measured using 10 items developed by Cho (1996) based on Body Attitudes questionnaire (BAQ) of Ben-Tovim and Walker (1991). The survey was conducted from September 4 to September 7, 2007. Data were analyzed by t-test, ANOVA, Scheffe test, Spearman's rank correlation test, and stepwise multiple regression using SPSS 14.0. Results: The average score of obesity stress was $2.78{\pm}0.90$ out of 5.00. Stepwise multiple regression analysis showed that the major factors that affect obesity stress of female college students were perceived body shape, disagreement between current and preferred somatotype, history of weight control, body mass index (BMI), and perceived health status, and these factors explained 38.4% of obesity stress. Conclusion: Subjective judgment in the perception of or preference for body shape was the most important factor affecting obesity stress in female college students. Therefore, a plan is necessary to mitigate obesity stress and evaluate individually subjects who perceive themselves to be fat or want to be thinner than the current somatotype. And consultation and constant management are needed to help the high risk group (experience of weight control, BMI ${\geq}23kg/m^2$, not good health status).
Purpose: The purpose of this study was to examine the relationships among self-care, self-care agency, self-efficacy, and quality of life in type II diabetic patients registered at a public health center. Method: The study subjects were 128 type II diabetic patients who were living in G city. The data were collected from March 2001 to February 2002. The instruments used for this study were the self-care scale developed by Jeung(1997) and designed by Park (1984) based on the original scale, the self-care agency scale developed by So (1992), the self-efficacy scale developed by a Jeung (1997) and designed by Paek (1996) based on the original scale, and the quality of life scale developed by Ro (1988). The data were analyzed using descriptive statistics, pearson correlation coefficient, and stepwise multiple regression. Results: 1. The relationships among self-care, self-care agency, self-efficacy, and quality of life were significant. Self-care was significantly related to self-care agency (r=.609. p<.01), self-efficacy (r=.763. p<.01), and quality of life (r=.493. p<.01). 2. The stepwise multiple regression analysis was performed to identify factors influencing quality of life of the subjects. The most powerful predictor was self-care agency (48.4%). The combination of self-care, complication status, age, education level, and self-efficacy accounted for 88.7% of the variance of quality of life in type II diabetic patients. Conclusion: The results suggest that self-care, self-care agency, self-efficacy, and quality of life are important variables for development of nursing intervention programs for patients with diabetes.
Purpose; This study was conducted to investigate the relationship between self-efficacy, family support and health promotion behavior of the elderly in a community. Method: The sample consisted of 208 elderly and data was collected from November 18 to December 21, 2002. The instrument of this study was a structured questionnaire including health promoting behaviors, self-efficacy, family support, general characteristics. Analysis of the data was done by use of descriptive statistics, t or F, Pearson Correlation Coefficient, Stepwise multiple regression. Results: 1. The general characteristics related to health promoting behavior were gender, family structure, education level and monthly pocket money. 2. The general characteristics related to self efficacy were gender, age, family structure, education level, religion and monthly pocket money. 3. The general characteristics did not affect family support. 4. Health promoting behavior score was the highest in the interpersonal support (2.72) and in order was nutrition(2.65), stress management(2.31), self actualization(2.30), exercise(2.05), health responsibility(1.86). 5. There was a significantly high correlation between health promoting behavior and self efficacy(r= .605, p= .000), and family support(r= .500, p= .000) and between self-efficacy and family support were correlated relatively high(r= .498, p= .000) 6. Stepwise multiple regression analysis revealed that the most powerful predictor of health promotion behavior in elderly was self-efficacy (39.6%). A combination of self-efficacy, family support, monthly pocket money, education level and present illness status explained 48.5% of the variance for health promoting behavior. In conclusion, the results of this study showed that self-efficacy and family support are very important variables in explaining the health promoting behaviors in elderly. Therefore, these variables should be considered in nursing intervention development and education, especially, self-efficacy improving programs that considered exercise and health responsibility are expected to effect the health promoting behavior in elderly.
Purpose: The purpose of the study was to investigate the status of visual health behavior of school-age children and to identify the predicting variables of the school-age children's visual health behavior. Method: The subject was 764 children in grades 4 to 6, enrolled in 2 elementary schools located in urban area. The data were analyzed using t-test, ANOVA, correlation analysis, and stepwise multiple regression. Result: The findings were as follows: 1. The mean of the score of the visual health behavior of school-age children was 41.59(SD=7.22) and there was a significant difference according to grade. 2. There were significant correlations between visual health behavior and self-efficacy for visual health behavior (r=.51, p=.000), motivation for visual health(r=.45, p=.000), perceived benefits(r= .34, p=.000), self-concept(r=.32, p=.000), knowledge of visual health(r=.30, p=.000), health perception for vision(r=.16, p=.000), health locus of control(r=.11, p=.002), and perceived barriers(r=.-.12, p=.000). 3. Self-efficacy for visual health behaviors, knowledge of visual health, motivation for visual health, self-concept, health perception for vision, and perceived benefits were identified as predictor variables of the visual health behavior of the school-age children from the stepwise multiple regression analysis. The total percent of variance accounted by these 6 variables were 36.9%. Conclusion: From the result, it is suggested that the development of comprehensive visual health education program including the component of self-efficacy, health motivation and self-concept to promote the visual health of school-age children.
Purpose: The purpose of this study is to analyze the factors affecting Deviant Behaviors of Korean High school Students. Method: Data was collected from October 8 to 31, 2002. The subjects for this study were 697 Korean High school Students(boys 347, girls 350), recruited from two High School located in Seoul. Data collection was conducted through the use of 6 Questionnaire that modified by the investigator. The data was analyzed by the SPSS win 10.0 program using Descriptive statistics, Pearson Correlation coefficient and stepwise multiple regression. Result: 1) The mean of total item score the Deviant Behaviors scales was 1.59, which was slightly low. 2) There was a significant correlation between Deviant Behaviors, Type A Personality, Aggression, Impulsivity, Stress and Social Support(γ= .11 ~ .65, p<.001), but It was no significant correlation Type A Personality and Stress(γ= -.01). 3) Stepwise multiple regression analysis showed that (1) Impulsivity, Social Support and Type A Personality were the predictors of Deviant Behaviors and account for 18.6% of the variance in Deviant Behaviors. (2) Impulsivity account for 3.6% of the variance in Deviant Behaviors in Subjects with a lower degree of score the Deviant Behaviors. Impulsivity and Social Support account for 23.2% of the variance in Deviant Behaviors in subjects with higher degree of score the Deviant Behaviors. (3) Impulsivity account for 18.3% of the variance in Deviant Behaviors in High school girls (n=350). Impulsivity and Social Support account for 20.1% of the variance in Deviant Behaviors in High school boys (n=347). Conclusion: Impulsivity and Social Support account for Deviant Behaviors of High school Students. Therefore it is necessary to develop nursing intervention to reduce the level of Impulsivity, to increase the Social Support in order to decrease the Deviant Behaviors.
Purpose: The purpose of this study was to identify the degree of internet addiction and factors affecting internet addiction in elementary school students. Method: The participants in this study were 1,328 students in 4, 5 or 6 grades of elementary school. They were recruited from two elementary schools. Data collection was conducted using of 6 questionnaires that were modified by the investigator. The data were analyzed with the SPSS win 10.0 program using descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: 1) The mean of total item score for internet addiction was 2.1, which was slightly low. Of respondents in this research 48.4% normally use the internet, while 48.5% addictively use the internet and as high as 3.1% were serious internet-addicted. 2) There was a significant correlation between internet addiction, self-esteem, aggression, impulsivity, parent's support and friend's support(γ= -.15 ~ .44). 3) Stepwise multiple regression analysis showed that amount of time spent on the internet per day, impulsivity, aggression, gender, self-esteem, duration to use of internet, father's age, and the major place where the internet was used were the predictors of internet addiction and accounted for 47% of the variance in internet addiction. Conclusion: Time spend on the internet per day, impulsivity, aggression, gender, self-esteem, duration to use of internet, father's age, the major place where the internet was used accounted for internet addiction in elementary school students. Therefore it is necessary to develop nursing interventions and to further identify the depth of the relationship of the related factors in order to decrease internet addiction.
Purpose: The purpose of this study was to understand depression in women with endometriosis and to identify the factors influencing depression. Method: The instruments used were the Beck Depression Inventory for depression, Lemaire Scale for endometriosis syndrome, Mishel Uncertainty in Illness Scale-Community form (MUIS-C), the Rosenberg Self-esteem Scale, and Quality of Life (Endometriosis Health Profile Questionnaire; EHP-5) by Jones et al. The Subjects of Study were 118 outpatients diagnosed with endometriosis from 7 hospitals in Busan City and Kyungsangnam-do. Data was collected from Aug 1, 2004 to Jan 31, 2005. For statistical analysis of collected data, frequency analysis, analysis of variance, and stepwise multiple regression analysis were used with the SPSS statistical program. Result: The general characteristic showing a statistically significant difference in depression in the women with endometriosis was marital status. The score of the depression showed a significantly positive correlation with the score of endometriosis TSD(r= .464, p= .000), uncertainty(r= .393, p= .000), and quality of life(r= .543, p= .000). Depression showed a significantly negative correlation with the score of self esteem(r= - .557, p= .000). Stepwise multiple regression analysis revealed that the most powerful predictor of depression in the women with endometriosis was self-esteem ($R^2$=0.311). A combination of self esteem, quality of life, and total symptom distress accounted for $50.0\%$ of the variance in depression in women with endometriosis. Conclusion: The influencing factor on depression in women with endometriosis was self- esteem, quality of life, and endometriosis TSD. Further studies need to be done to identify methods of overcoming and the presentation of depression in endometriosis.
연구의 목적은 노인의 건강상태, 사회적 지지, 생활만족도가 자살생각에 미치는 영향 정도를 규명하기 위한 것이다. 조사 대상은 123명의 노인으로 구성하였다. 조사방법은 2012년 6월-7월까지 자료를 수집하였고, 서술적 통계, t-tset, ANOVA, pearson correlation coefficients와 stepwise multiple regression으로 분석하였다. 분석 결과는 대상자의 건강상태($2.47{\pm}.70$), 사회적 지지($3.36{\pm}.90$), 생활만족도($2.90{\pm}.60$)의 평균 점수는 보통 이상 수준이었고, 자살생각($.51{\pm}.37$)은 보통 이하 수준이었다. 건강상태, 사회적 지지, 생활만족도와 자살생각은 일반적 특성에 따른 통계적으로 유의한 차이를 나타냈고, 자살생각은 건강상태, 사회적 지지 및 생활만족도와 통계적으로 유의한 상관관계를 보였다. 대상자의 자살생각의 중요한 영향요인으로 규명된 변수는 건강상태로 26.6%의 설명력을 갖는 것으로 나타났다. 결론으로 이상의 결과를 통하여, 노인이 지각한 건강상태, 사회적 지지 및 생활만족도는 자살생각을 감소시키는 데 필요한 변수임을 확인할 수 있었다. 그리고 이상의 언급된 결과는 노인의 자살예방프로그램을 개발하는 데 반영되어야 할 것이다.
Purpose: This study was to identify the degree of health-promoting behavior and quality of life and the factors influencing quality of life of solitary elderly in rural areas. Method: The subjects of this study were 202 solitary elderly, and 65-89, who had been living in four rural areas. Data was collected through 4 questionnaires from July 10th, 2003 to August 30th, 2003. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Duncan's multiple-range test, Pearson correlation coefficient and Stepwise multiple regression with SPSS/PC. Results: The average item score for the health-promoting behavior was 2.43; the highest score on the subscale was self-actualization (M=2.58) with the lowest being exercise (M=2.05). 2) The average item score for the quality of life was 2.81; the highest score on the subscale was neighbor relationships (M=3.27) with the lowest being economic conditions (M=2.24). There were significant differences in the health-promoting behavior by educational level and leisure-activity, in the quality of life by age and religion. Quality of life scores correlated negatively with depression scores (r=-.063, p=.000) and positively with health-promoting behavior (r=.144, p=.000), social support scores (r=.383, p=.000). Stepwise multiple regression analysis for quality of life revealed that the most powerful predictor was health-promoting behavior. Health-promoting behavior, social support, depression and age explained 51.8% of the variance. Conclusion: These results suggested that elderly people in rural areas with high degree of quality of life are likely to be high in health-promoting behavior and social support and low in depression. Therefore, it is necessary to develop health promotion programs in due consideration of health-promoting behavior and social support and depression in order to enhance the quality of life of solitary elderly in rural areas.
Purpose: This study was conducted to measure the levels of Health status, perceived stress, self-esteem, and achievement motivation and assertive behavior of adolescents. The relationships among these variables as well as predictors of health status were examined. Method: The sample was composed of 496 students (male: 195. female: 301) from 3 high schools in Seoul and Kyunggi-Do regions. The instruments used in this study were as follows: health status scale developed by Noh (1991), perceived stress scale developed by Park(1996), self-esteem scale developed by Rosenberg (1965), achievement motivation scale developed by Park(1986) and assertive behavior scale developed by Kim(1982). The reliability of the five instruments were examined using Chronbachs' a that ranged from, .63 to .90 in this study. The data were analyzed with the SAS program using descriptive statistics, t-test, ANOVA, Duncan multiple comparison, Pearson correlation coefficients, and stepwise multiple regression. Results: The results were as follows: 1. The mean score .of health status was 3.1, which was higher than the median of the instrument. 2. There were significant correlations of health status with self-esteem (r=.381. p=.0001), assertive behavior (r=.503. p=.0001), and perceived stress (r=-.352. p=.0001). 3. Stepwise multiple regression analysis showed that 34% of health status was affected by the level of assertive behavior (25%), self-esteem (7%), and perceived stress (2%). Conclusion: Based on these findings, assertive behavior and self-esteem appear to be specific important areas of future research as to better understand the health status of adolescents, and to develop health status-related interventions for them.
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