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.
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.
Objectives: The purpose of this study was to investigate factors influencing the smoking behavior of adolescents, in order to provide basic data to develop a future nursing intervention program for smoking prevention. Methods: The study subjects were 162 adolescents attending high schools, who were living in K city. The instruments included the Self Esteem Scale translated by Jeon (1974), beliefs about the social rule scale developed by the Committee for Adolescence Guidance (1988), differential peer association developed by Krohn et. al. (1982), perceived behavioral control scale developed by Hanson (1997), intention of smoking scale developed by Newman et. al.(1982), and self-efficacy scale developed by Sherer et. al. (1982). The data were analyzed using descriptive statistics, Pearson correlation coefficient, and stepwise multiple regression. Results: 1. The smoking behaviors of the subjects were significantly correlated with beliefs about social rule, perceived behavioral control. differential peer association, intention of smoking, self efficacy, grade, father's level of education, monthly pocket money, time of onset for smoking, degree of alcoholic intake, and drug abuse. 2. The multiple regression analysis revealed the most powerful predictor for smoking behavior was time of onset for smoking. A combination of beliefs about social rule, perceived behavioral control, grade, differential peer association, and intention of smoking accounted for 54.0% of the variance for smoking behavior in adolescents. Conclusion: It is recommended that these influencing factors for smoking behavior be considered when developing future nursing intervention programs for the antismoking behaviors of adolescents.
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.
The Journal of Korean Academic Society of Nursing Education
/
v.12
no.2
/
pp.257-264
/
2006
Purpose: The purpose of this study is to identify the effects of visual health promotion program for preschool children. Method: The experimental group participating in the visual health promotion program was 32 preschool children and the control group consisted of 34 preschool children by homogeneous age. The visual health promotion program was based on articles related to childern's visual health promotion and previous education program. Data were collected with 3 questionnaires that modified by the investigator. The data was analyzed by the SPSS win 10.0 program using descriptive statistics, $x^2$ test, t-test. Result: The level of knowledge about visual health promotion of preschool children who participated in the visual health promotion program was significantly higher than preschool children who did not participate(t=.02, P<.001). The level of behavior about visual health promotion of preschool children who participated in the visual health promotion program was significantly higher than preschool children who did not participate(t=.31, P<.001). Conclusion: The visual health promotion program developed in this study is an effective strategy for nursing intervention by increasing knowledge and behavior about visual health promotion of preschool children.
Purpose: To identify the factors associated with poor self-rated health in individuals with acquired visual impairment through classification of such individuals into severe and mild visual impairment groups. Methods: This descriptive, cross-sectional, survey-based study analyzed data from 563 individuals with visual impairment due to acquired causes who had been recruited in the 2017 Korean National Survey on Persons with Disabilities. Results: Individuals with severe visual impairment reported poorer self-rated health. Mild depression (p=.003), and low smartphone use (p=.045) were associated with poorer self-rated health in those with severe visual impairment. The factors associated with poor self-rated health in those with mild visual impairment were comorbidities, low smartphone use (p=.006), needed health information (p=.020), unbalanced diet (p<.001), low weight (p=.024), and lack of health checkups (p=.001). Conclusion: Depression was found to be a predictor of poor self-rated health in individuals with severe visual impairment, which highlights the need for nursing and related healthcare intervention to lower depression in this specific population. Further, promoting social network building and providing health information using smartphones may serve to encourage appropriate health behavior in people with severe visual impairment who have reduced mobility and health literacy.
Recently realistic descriptions have been frequently used in anti-smoking campaigns. The same trend can also be seen with regard to posters as a medium of visual communication. It was intended to examine how different types of visual images in anti-smoking campaign posters produced and distributed by the WHO can improve the effectiveness of health communication. This article aims to determine how each of abstract/stylized illustrations and realistic images might affect the three key variables of the Theory of Planned Behavior, which are Attitudes toward the Behavior, Subjective Norms and Perceived Behavioral Control, in relation to quitting smoking. Results showed that realistic images are different in improving the attitudes toward the behavior and subjective norms. However, there are no significant difference between abstract/stylized illustrations and realistic images in Perceived Behavioral Control. The findings of this study suggest that the above-mentioned types of visual information achieve different levels of effectiveness in health communication. It is desirable that more effort be devoted to the interdisciplinary study across the areas of visual design and social psychology, for example, with a view to developing better health communication strategies.
Purpose: The purpose was to investigate the factors influencing the alcohol consumption behavior of adolescents to provide basic data for a nursing intervention program to improve health management and prohibit alcohol consumption. Method: The subjects were 306 university students, living in K city in Chungnam province from April 1 to 20th, 2002. The instruments used were the alcohol consumption behavior scale, that is the drinking intensity score, and developed by Shin(1998)'s scale of drinking problem, refusal self-efficacy scale by Aas et. al.(1995), alcohol expectancy by Goldman et. al. (1989), TPQ scale by Cloninger(1991), depression scale by Zung(1974), family cohesion scale by Olson et. al. (1983). The data were analyzed using descriptive statistics, Pearson correlation coefficient, t-test, ANOVA, and stepwise multiple regression by using SPSS & SAS program. Results: The multiple regression analysis revealed that the most powerful predictor of alcohol consumption behavior was the influence of friends (drinking everyday) (17.0%). A combination of alcohol expectancy (8.0%), influence of friends (4.0%), father's influence (2.0%), depression(2.0%), refusal self-efficacy (1.0%), personality of harm avoidance(1.0%), and monthly pocket money (2.0%) accounted for 38.6% of the variance in alcohol consumption behavior. Conclusion: From the results, we recommend to use the database that develops nursing intervention program for decreasing the alcohol consumption behavior including the influencing factors in university students.
The vision disturbances of school- age children has been recognized as and important school health problem. As the visual disturbances of the school-age children is recognized as the nation's health problem. the importance of the development of educational program for visual health should be emphasized. Recently, eyeball movement and other visual health management method has been introduced for prevention or recovery of decrease in visual acuity. But, the effect of eyeball movement was not confirmed yet. And, the controversy around the treatment effect is continued. The decrease of visual acuity is one of the important school health problem as well as it causes discomfort in daily life of the students. So, it should be considered as an important subject for school health and there is a need to develop an effective intervention program for visual health. The purpose of this study is to develop and evaluate the program with the recognition of the need of the intervention for visual health. The visual health promotion program was developed by the researcher and the program was initiated by the school. Nonequivalent control group pretest-posttest design was applied for study which examined the effect of the visual health promotion program. The subjects were 742 children (experimental group: 398; control group: 344). The experiment was composed of health education and eyeball movement. Health education was provided 5 times to the children in the class room. Children of experimental group exercised eyeball movement in the class, watching video for 10 minutes two times a day. The exercise was continued for 10 weeks. The result of the study were as follows. 1) change of visual acuity Before the intervention, mean of the visual acuity was .86 for the experimental group and .91 for control group. After the intervention, mean of visual acuity was .95 for the experimental group and. 90 for the control group. There was no significant difference in the change of visual acuity between experimental and control group. 2) change of refraction. In the experimental group, 327 eyes (41.08%) were normal vision and 469 eyes (58.98%) were eyes of refraction errors, 38.82 % of the total eyes were myopia. There was no significant change in the refraction in the children with myopia after the intervention. 3) Awareness of visual acuity, change of knowledge, behavior. and attitude (1) After the intervention, there was a significant difference in the awareness of visual acuity (experimental group: 70.10%. control group: 50.97%, p<.01). (2) After the intervention, there was a significant knowledge increase in the experimental group (pp<.01). (3) There was no significant difference in the visual health behavior after the intervention. (4) There was a significant positive change in the attitude related to visual health in the experimental group ( pp<.05). 4) There was a significant positive change in the subjective discomfort of the students. But, there was no significant change in the objective eye symptom after the intervention. Even though there was no effect in the visual acuity and the change of the refraction. subjective visual health as well as the attitude and knowledge' of the children and parents toward visual health was improved significantly. Also, there was an increase in the intention of change and the awareness for the visual health management. It is suggested that various educational strategies for visual health promotion should be developed and examined for the visual health promotion of the students.
Purpose: The purpose of this study was to compare health promoting behavior between working and non-working mothers with infants and toddlers, and to investigate factors affecting the mothers'health promoting behavior. Methods: This descriptive study was conducted through conveniently sampled 403 women who visited the child health clinics at two public health centers. The questionnaire included the Health Promoting Life Style Profile (HPLP) and a visual analogue scale for subjective health status. ANCOVA, one-way ANOVA, correlation analysis, and stepwise multiple regression were conducted using SPSS ver. 21. Results: Working mothers' average HPLP score ($2.30{\pm}0.37$) was higher than non-working mother's ($2.15{\pm}0.37$). The score of the physical activity subscale was lowest among the subscales and there was a difference between the two groups. Subjective mental health status was the only predictor of working mothers'health promoting behavior, and it explained 23.2% of variance in health promoting behavior. Subjective mental health status, education, and age were the predictors of non-working mothers' health promoting behavior and they explained 27.2% of variance in health promoting behavior. Conclusion: According to the findings, both working and non-working mothers' health promoting behaviors were low. To promote mothers' health, it is necessary to develop diverse community health promotion programs to support mothers.
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