• Research in Community and Public Health Nursing
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• v.12 no.1
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• pp.142-149
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• 2001

The health education for elementary school students is a very important factor in the development of adult health practices. Particularly, eyesight is difficult to recover if lost. Therefore, prevention is better than cure. This study was conducted to investigate the factors that affect the visual health behavior of elementary school students and to furnish basic materials and directions for the promotion of elementary school health. The investigation was carried out for 4 days from 9. 18. 2000 to 9. 21. 2000 for 199 children in 3 elementary schools. A questionnaire was composed of 3 questions about general property. 20 questions about visual health behavior. 7 questions about visual self-efficacy. 5 questions about visual motivation. 16 questions about self-conception. 20 questions about the health locus of control. The data was analysed by an SAS program for t-test. ANOVA. correlation, and multiple regression tests. The results are as follows. 1. The visual health behavior of elementary school children was good (average 52.53). 2. For visual health behavior, school, year, and sex were influential factors. economic levels were not. 3. Visual health behavior had a significant correlation with visual self-efficacy, visual health motives and self-conception. but not with the locus of control. 4. In the multiple regression test, visual self-efficacy and self-conception were significant prediction factors -- the suitability of the regression model was 30.8%. Suggestions from the results are as follows: First, school year and sex had a significant influence on visual health behavior: therefore, it is necessary to consider these two factors when education programs are developed. Second, this study was carried out for students in a partial area only. Therefore, repeated studies for a large sample are necessary for the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.411-422
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• 2021

The purpose of this study is to examine the relationships between quality of life and demographic characteristics and health-related behavioral characteristics, and their relevance to variables that represent health conditions among metropolitan-dwelling older adults. The study subjects were 380 senior citizens aged 65 or older living in the D metropolitan area, and data collection was conducted by visiting them for interviews in June 2019. A binomial logistic regression analysis was performed to examine the relationship between independent variables (demographic characteristics, health-related behavioral characteristics, health condition variables) and the dependent variable (quality of life) while controlling for gender and age. As a result, the factors related to quality of life for those surveyed were education level, spousal status, living status, bear for living expenses, average monthly allowance, satisfaction with daily life, evaluation of sleep quality, smoking and eating habits, amount of regular exercise, hobbies, subjective health status, physical disability (if any), hearing ability, visual acuity, mastication ability, urinary incontinence (present or not), and amnesia. The above results suggest that quality of life for the elderly living in urban areas is significantly related to variables that indicate demographic characteristics, health-related behavioral characteristics, and health condition.

• Korean Journal of Health Education and Promotion
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• v.11 no.2
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• pp.68-86
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• 1994

In order to provide data of effective health education for practice of preventive health behavior for visual acuity care. The authors investgated the actual acuity and health behavior for visual acuity care. The subjects of this study were 2250 students in high school. The data were collected by questionnaire developed for the purpose of this study which has been made through references and student's health record. The results were as follows, 1) As students move up to grade, the number of students with decreased visual acuity had a tendency to increase. In cases with decreased visual acuity below 0.2 in one or both eye, the number of cases was increased in accordance with moving up to grade, especially visual acuity of right eye was more decreased than that of left eye. 2) As to proportion of the group with decreased visual acuity among the total students, among 2250 students, students with decreased visual acuity was 35.6%(800 students). According to school type, in academic school, frequency of students with decreased visual acuity in day school was higher then that in night school. In commercial school, the frequency of students who had decreased visual acuity in night school were higher than that of students in day school. 3) As to variables influencing the decreased visual activity, there was a significant different between groups with normal visual acuity and groups with subnormal in terms of awareness of visual acuity by themself, parent's visual acuity, unbalanced eating habit, distance from television, or books, posture in watching television, posture in reading, awareness of illumination in classroom. 4) As to practice of protective and preventive health behavior for visual acuity care, In group with normal visual acuity. There was good practice such as proper eating habit, proper studying habit, and health habit in its descending order, but proper illumination and regular eye test were practiced poorly. In group with subnormal visual acuity, one of the vest practice in visual acuity care was an effort to prevent eye strain. Other good practice involve tasking regular eye test, maintaining proper studing habit, in its descending order.

• Child Health Nursing Research
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• v.9 no.3
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• pp.294-300
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• 2003

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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3521-3531
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• 2012

This study was performed to determine the relationships among self-esteem, state anxiety, interpersonal behavior trait and locus of control, and to reveal its related factors. The interviews were performed, during the period from April 1st, to June 30th, 2011, to 396 elderlies in Daejeon city. As a results, the self-esteem was negatively correlated with state anxiety and interpersonal behavior trait, while it was positively correlated with locus of control. While state anxiety was positively correlated with interpersonal behavior trait, it was negatively correlated with locus of control, and interpersonal behavior trait was positively correlated with locus of control. Multiple stepwise analysis revealed that the factors of influence on self-esteem included IADL, spouse, mastication of food and amnesia. The factors of influence on State anxiety included mastication of food, IADL, spouse, subjective health status, disability of body, subjective sleep evaluation and educational level. The factors of influence on Interpersonal dependent behavior trait included spouse, IADL, monthly income and subjective health status. The factors of influence on locus of control included spouse and visual acuity. Above results suggested that the self-esteem, state anxiety, interpersonal behavior trait and locus of control of subjects were significantly related with the sociodemographic characteristics, health related factors and health status.