• Research in Community and Public Health Nursing
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• v.1 no.1
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• pp.503-517
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• 1989

This study is to analyze factors affecting the school nurse's activities. The survey was undertaken during Sept. 1-Nov. 30, 1986. The subjects were 137 school nurses from elementary, junior-high, and senior-high schools in Daegu City and Kyungppk Province. The results are as follows: 1. Correlational findings between school nurse's self-confidence and their general characteristics 1) Program Planning & Evaluation: Health Experinece(r=-0.1803, p<0.05) Salary Step(r=-0.1741, p<0.05) 2) Clinic Management: Salary STep(r=-0.2580, p<0.01) 3) Health Education: Salary Step(r=-0.1929, p<0.05) 4) Management of School Environment: Salary Step(r=-0.2501, p<.05) 5) Health Care Services: Health Experience(r=0.1901, p<0.05) Salary Step(r=-0.2424, p<0.05) 2. The degrees of school nurse's self-confidence(high: 4 point, low: 1 point) 1) Clinic Management: 2.92 2) Health Education: 2.86. 3) Program Planning & Evaluation: 2.74 4) Health Care Services: 2.73 5) Management of School Environment: 2.67 6) Operating of School Health Organization: 2.42 3. Significances to self-confidence on school nurse's activities 1) Program Planning as Evaluation: Expending Times for Health Care Services (r=-0.2262, p<0.05) Expending Times for Health Education (r=0.2943, p<0.05) Size of Clinic(r=0.2163, p<0.05) Location of Clinic(t=2.43, gH0.047) Use of Clinic(t=2.06, p<0.007) 2) Clinic Management: Location of Clinic (t=3.36, p<0.010) 3) Health Education: Purchase of Medicine(r=-0.1736, p<0.05) No, of Classes (r=-0.1794, p<0.05) (4) Management of School Environment: School Health Budget(r=0.1731, p<0.05) Home Message(r=0.1805, p<0.05) Location of Clinic(t=4.46, p<0.0001) 5) Operating of School Health Organization: School Health Budget(r=0.1878, p<0.05) Use of Clinic(t:1.90, p<0.018) 6) Health Care Services: School Health Budget(r=1.90, p<0.018) Expending Times for Health Education(r=0.2577, p<0.05) Size of Clinic(r=0.4336, p<0.001) Location of Clinic(t:5.10, p<0.001)

• Research in Community and Public Health Nursing
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• v.1 no.1
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• pp.465-502
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• 1989

The purpose of this study was to find out the general characteristics of school health teachers, the status of school health resources and the degrees of self-confident performance for the 124 school health teachers in Pusan City. Data was collected by means of questionaires from Aug. 1986 to Mar. 1987. The data were analyzed by use of percentage, mean, standard deviation, t-test, ANOVA and Pearson-correlation coefficient. The results of this study were as follows: 1 . General Characteristics of School Health Teachers (SHT) 1) The average of age of the SHT was 32.8 years old and 39.5% of them were from 30 to 34 years old. 2) The average for school nursing experience of the SHT was 7.9 years and 37.9% of them were from 5 to 9 years. 3) The 45.2% of them have not the clinical experience. 4) The 74.2% of them were graduated from the 3 years college of nursing. 2. Status of school health resources and nursing activities. 1) The average of student number was 2497.3 and class number was 45.2. 2) The average of school health budget was 1039000 won and 27.7% of school health budget expended on examination cost. 3) Only 29.0% of all schools have organization for school health. 4) The 84.7% of all schools have health clinic separately and 69.1% of schools have less than $33m^2$ sized. 5) The average of clinic visitor number was 2111.8 for 1 year. 6) Major problem was on digestive system. And other problems were skin, respiratory, musculo-skeletal system and dental problem. 7) The number of literal message was 14.4 times for 1 year. 3. The degree of the school health teachers' self-confidence. The school health teachers' self-confidence was deviced into 6 and the maximum degree was 4. 1) Program planning & evaluation; 2.8 2) Clinic management; 2.9 3) Health education, 3.0 4) Management of school environment; 2.7 5) Health care services; 2.7 6) Operating of school health organization; 2.4 4. Significances to the degree of self-confidence on school health nursing activities. 1) There was significant difference between clinical management and Religion (t=2.15 p<.05) 2) There was significant difference between Operating of school health organization and level of school (F=3.588 p<.05) 3) Program planning & evaluation: expending time for clinical management (r=-0.184 p<.05) expending time for health care services (r=0.273 p<.01) 4) Clinical management: use of separate health clinic (r=0.151 p<.05) 5) Health education: use of separate health clinic (r=0.170 p<0.5) 6) Health care services: No. of student (r=-0.144 p<0.5) No. of class (r=-0.160 p<.05) 5. The degree of the school health teachers' self-discipline. The school health teachers' self-discipline was devided into 2 and the maximum degree was 2. 1) Program planning & evaluation:1.8 2) Clinic management: 1.9 3) Health education: 1.9 4) Management of school environment: 1.7 5) Health care services: 1.8 6) Operating of school health organization.: 1.3 6. Significances to the degree of self-discipline on school health nursing activities 1) Program planning & evaluation; Level of nursing education (F=4.309 p<.01) 2) Clinical management: Level of nursing education (F=3.587 p<.05) 3) Operating of school health organization: School health organization (t=-2.68 p<.01) 4) Health care services: School health organization (t=2,58 p<.05) 5) School health performance: School health organization (t=2.32 p<.05) 6) Program planning & evaluation: School health experience (r=0.239 p<.01) Expending time for program planning & evaluation (r=-0.172 p<.05) 7) Clinic management: School health experience (r=0.249 p<.01) Expending time for dinic management (r=0.181 p<.05) No. of student (r=-0.158 p<.05) Expending time of program planning & evaluation (r=-0.199 p<0.5) 8) Health education: School health experience (r=0.234 p<0.1) Expending time of program planning & evaluation (r=-0.193 p<.05) 9) Management of school environment: Age of school health teacher (r=0.142 p<.05) School health experience (r=0.255 p<.01) 10) Operating of school health organization: Medicine Purchase (r=-0.163 p<.05) 11) Health care services: School health experience (r=0.148 p<.05) Medicine purchase (r=-0.229 p<.01) 12) Total school health performance: School health experience (r=0.200 p<.05) Medicine purchase(r=-0.168 p<.05) Based on the above results, the suggestions are as follows: 1) As the SHT take charge of the reasonable number of student, the students will have benefit of the good health service in quality. 2) It is recommended to use the health clinic separately and to arrange adequate place for good school health service. 3) It is necessary that the SHT participate budget for school health. 4) It is required to enhance self-confidence on school health nursing activities through continuous educational programs.

• Journal of Korean society of Dental Hygiene
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• v.8 no.4
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• pp.165-180
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• 2008

The present study is a descriptive survey on factors affecting middle school students' oral health belief and oral health practice. In order to find methods for forming right beliefs and inducing desirable behavioral patterns, we conducted a questionnaire survey with 470 students at two middle schools in Cheongju and drew conclusions as follows. Of the 470 questionnaires, 457 were recovered. With 10 inappropriately answered ones excluded, 446 questionnaires were analyzed. 1. As to oral health belief according to general characteristics, susceptibility was 2.63 points (p=0.035) in male students, 2.68 (p=0.016) in 3rd year students, and 2.92 (p=0.002) in only child students. Seriousness was 2.57 (p=0.017) in male students, 2.67 (p=0.001) in 3rd?year students, and 2.92 (p=0.001) in only child students. barrier was 2.62 (p=0.009) in 3rd year students, and 2.95 (p=0.002) in only child students. Benefit was 3.40 (p=0.011) in female students, and 3.43 (p=0.003) in 1st year students. salience was 3.21 (p=0.006) in female students, and 3.24 (p=0.009) in 1st year students. 2. As to oral health belief according to oral?health?related factors, susceptibility and seriousness were 2.69 (p=0.003) and 2.72 (p=0.000), respectively, in the lower?middle class group, 2.83 (p=0.001) and 2.80 (p=0.003), respectively, in the drink taking group, and 2.80 (p=0.000) and 2.75 (p=0.000), respectively, in the low conversation group. barrier was 2.63 (p=0.018) in the lower?middle class group, 2.67 (p=0.021) in the low conversation group, and 2.77 (p=0.000) in the group fearing the visit to the dental clinic. Benefit was 3.36 (p=0.000) in the high conversation group, and 3.37 (p=0.0l5) in the group visiting the dental clinic for prevention. salience was 3.26 for beverage and 3.20 (p=0.003) for fruit and vegetable. 3. As to oral health practice according to general characteristics, the score of oral health practice was 3.21 (p=0.000) in female students, 3.30 (p=0.000) in those aged 12 or below, and 3.27 (p=0.000) in 1st?year students. 4. As to oral health practice according to factors related to oral health, the point was 3.17 (p=0.002) in the middle upper class group, 3.24 (p=0.001) in the group eating mainly fruit or vegetable, and 3.18 (p=0.030) in those with experience in education. 5. Oral health practice was in a negative correlation with susceptibility (r=-0.143), and in a positive correlation with benefit (r=0.229) and salience (r=0.286).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.783-787
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• 2011

This study was attempted to identify factors related to the health habit practice in stroke patients of some area. Data was surveyed using interview and questionnaires by 142 stroke patients who visited a general hospital which was located in Seoul from May 3 to June 3, 2010. The results were as follows ; First, there was significantly negative correlation between health information and unpredictability(r=-0.264, p<0.01), and positive correlation between uncertainty and stress(r=0.582, p<0.01). Secondly, as a result of multiple regression analysis,, health habit practice of stroke patients was significantly influenced by age($R^2$=0.62, p=0.000), unpredictability($R^2$=0.096, p=0.006), health information($R^2$=0.055, p=0.005), sex($R^2$=0.068, p=0.003), the usage of stroke therapy($R^2$=0.041, p=0.017). In conclusion, strategies for enhancing health information and reducing uncertainty are needed to promote health habit practice in patients with stroke.

• Journal of Korean Public Health Nursing
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• v.16 no.2
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• pp.239-253
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• 2002

Health care for women regularly focuses on the reproductive system to the exclusion of other health needs. The lack of research focusing on women's common health issues is a major problem to the enhanced optimal level of women's health. Health care providers have to recognize biological and social differences between men and women. This study was conducted to identify the baseline data and their correlation of health perception, health behavior, and health status of adult women for developing nursing intervention. The study was a descriptive correlational design. A convenient sampling method was used for collecting data from 103 adult women, over 18 years of age, during the period from Sep 1 to Nov 30, 2001. The study's subjects were interviewed using a structured questionnaire. The instruments for this study were the health perception scale modified by Lee(1985) based on the tool developed by Ware(1977) and Jenkins (1966), and the health behavior scale by Ko, Kumja(1987). Health status was measured by the short form Cornell Medical Index(CMI) modified by Nam, Hochang(1965). The data were analyzed SPSS PC+, by frequency, mean, t-test, ANOVA, and Pearson correlation coefficients. Also, the Duncan test was utilized for a post hoc test of ANOVA. The results of this study are as follows: 1. The mean score for health perception was 3.02(S.D=0.39) on a 5 point scale. 2. The mean score for health behavior was 3.08(S.D=0.43) on a 5 point scale. 3. The mean score for health status was 18.54 on 58 items. The mean score for physical symptoms of a subscale of health status was 11.30 on 36 items and the mean score for psychological symptoms was 7.37 on 22 items. 4. The relationship of sociodemographic variables to health perception. health behavior, and health status of women.: 1) There were significant differences in the scores of health perception by disease experience(t=-3.37, p=0.00). 2) There were significant differences in the scores of health behavior by age(F=10.52, p=0.00), height(F=4.73, p=0.01), marital status(t=-5.56, p=0.00), educational background(t=2.90, p=0.00), and drinking or non-drinking(t=2.17, p=0.03). 3) There were significant differences in the scores of health status by educational background(t=2.28, p=0.02) and disease experience(t=2.61, p=0.01). 5. Health perception showed significant positive correlation with health behavior(r=0.39, p=0.00). Health perception showed significant negative correlation with health status(r=-0.44, p=0.00), that is, the more women perceived health, the less she complained about unhealthy symptoms. Health behavior had no significant correlation with health status but showed a positive correlation with psychological symptoms of a subscale of health status(r=-0.19, p=0.05). Many of the leading causes of disease are preventable through changes in health perception and behavior. The need to increase individual awareness of relationships among health perception, health behavior, and health status and to enhance knowledge regarding the long-term effects of positive health behaviors, is an important nursing strategy for women's health promotion.

• Journal of Korean Public Health Nursing
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• v.16 no.2
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• pp.254-270
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• 2002

This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in women student of high school. 286 students were selected by a convenience sampling method. The data were collected by self - reported questionnaires from 10 to July 13, 2002. The data were analyzed by using descriptive statistics, pearson correlation coefficient, stepwise multiple regression with SPSS program. The result of this study were as follows: 1. The average score of health promoting behavior was 2.46 of a 4 point scale. Sanitary life(3.05), interpersonal support(2.80), alcohol & smoking(2.79) Self actualization(2.76), habit of meal(2.52), rest & sleeping(2.33) regulation of meal(2.30) stress management(2.05), health responsibility(1.91) were also analyzed. 2. Health promoting lifestyle showed significant positive correlations with self-esteem (r=0.446, p<0.00l), life orientation test(r=.493, P<0.0l) and score(F=6.157, P=0.002) 3. Perceived health state showed significant correlation with alcohol & smoking subscale(r=-.134, P<0.05) of health promoting lifestyle. Self-esteem showed significant correlation with total health promoting lifestyle(r=.538, P<0.01), and showed significant correlation self-actualization subscale(r=.657, P<0.01) health responsibility subscale (r=.272, P<0.01), food regulation subscale(r=.126, P<0.05), interpersonal relationship subscale (r=.468, P<0.0l), stress management subscale(r=.349, P<0.01) sanitary life subscale (r=.282, P<0.01) sleep & rest subscale(r=.123, P<0.05). Life orientation test showed significant correlation with total health promoting lifestyle(r=.493, p<0.01), self­actualization subscale(r=.643, p<0.01) health responsibility subscale(r=.192, P<0.0l), habit of meal subscale(r=.215, p<0.01), interpersonal relationship subscale(r=.423, p<0.01), stress management subscale(r=.345, p<0.01) sanitary life subscale(r=.191, p<0.01) sleep & rest subscale(r=.137, P<0.05). Stress response showed significant correlation with sleep & rest subscale(r=-.137, P<0.05) of health promoting lifestyle. 4. The combination of self-esteem. life orientation test explained $33.2\%$ of the variance in health promoting lifestyle. On the basis of the above findings. self-esteem and Life Orientation Test were identified as the variables which explained most of Pender's health promoting model. Nursing strategies enhancing self-esteem and Life Orientation Test which have a more significant effect on health promoting lifestyles should be developed.

• Korean Journal of Health Education and Promotion
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• v.14 no.1
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• pp.11-21
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• 1997

We carried out this study to analyze the effectiveness through health education program in short term which was performed to use the special subject activities. This study was conducted on 63 students who were first grade in S Junior High School from Dec. 1995 to Feb. 1996. To analyze the effectiveness, we performed the Pretest, 1st Posttest, and 2nd Posttest for learned health knowledge. The results were as follows: 1. Most of the students(69.8%) responded that their health were good, and they got the information for health through Mass Com.. The students who had experience of health education were 15.9%, and the 77.8% of the respondents needed the health education. 2. The means of health knowledge on tests were 18.2(Pretest}, 21.5(1st Posttest), and 21.4(2nd Posttest). Increase of health knowledge between Pretest and 1st Posttest was 10.9%. 3. The mean of differences between Pretest and 1st Posttest was 3.26, it was significant(p〈0.01). And the mean of differences between Pretest and 2nd Posttest was 3.19, it was significant(p〈0.01);however, the mean of differences between 1st Posttest and 2nd Posttest was not significant(p=0.2514). 4. The significant main contents were Health Facilities(d=0.42), Pregnancy and Labor(d=0.39), Sex Education(d=0.29), Personal Hygiene(d=0.35), Safety Education (d=0.66), and Drug Abuse(d=0.60)(p〈0.01)

• Journal of dental hygiene science
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• v.4 no.3
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• pp.141-148
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• 2004

This study was examed in order to determine influential factors of health promoting behavior on Dental Hygiene students the health promoting behavior. So examed students' health promoting behavior, self-efficacy, perceived benefit, perceived barrier, a health locus of control, self-esteem. A the result of this study were as follows: (1) Performance mean score in health promoting behavior was 2.60, self achievement score was 2.89, health responsibility score was 2.12, exercise score was 1.89, nutrition score was 2.45, interpersonal support score was 2.97, stress management score was 2.63. Performance mean score in self-efficacy was 2.56, perceived benefit was 3.45, perceived barrier was 2.32, a health locus of control score was 3.04, self-esteem score was 2.81. (2) Performance in health promoting behavior was significant differences in year, religion, economical level, experience of disease on family, perceived health status(p<0.05), perceived oral health status(p<0.001). Performance in self achievement was significant differences in year, economical level, perceived health status(p<0.05), religion, perceived oral health status(p<0.01). Performance in health responsibility was significant differences in year, religion, economical level, BMI(p<0.05) and experience of disease on myself, perceived oral health status(p<0.001). Performance in excercise was significant differences in mother's educational level, experience of disease on family, perceived oral health status(p<0.05) and nutrient was economical level, perceived oral health status(p<0.01), perceived health status(p<0.05). Performance in interpersonal relations was only significant differences perceived oral health status(p<0.05) and in stress management was year, perceived oral health status(p<0.05). (3) Performance in self-efficacy was significant differences in economical level, health status(P<0.05) and perceived health status, perceived oral health status(p<0.01). Performance in perceived benefit was significant differences in religion(p<0.05). Performance in perceived barrier was significant differences economical level, perceived oral health status(p<0.05), experience of disease on myself(p<0.01). Performance in a health locus of control was significant differences year(p<0.05), performance in a perceived oral health status(p<0.01). (4) Performance in health promoting behavior was significantly correlated with self-efficacy(r=0.376), perceived benefit(r=0.188), perceived barrier(r=-0.155), a health locus of control (r=0.064), self-esteem(r=0.318). (5) Self-efficacy was the highest factor predicting health promoting behavior.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.807-814
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• 2013

Because there are growing demands for new information service of Korean medicine (KM) accommodated changes in the paradigm of health communication, we aimed to apply health 2.0 - which shares health information to improve individuals' health - extensively in KM. First we studied about the concepts and characteristics of health 2.0 and analyzed the pros and cons of KM information services. Finally we drew the KM health 2.0 framework from the analyzed results. KM health 2.0 framework is designed to raise the value of KM information through circulation of certified medical information to prevent medical accident. And it is also designed to integrate information through big data analysis technology from the information of individual services to recreate KM contents.

• Journal of Korean Public Health Nursing
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• v.16 no.2
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• pp.285-303
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• 2002

This descriptive correlational study was conducted to identify the variables related to a health promoting behavior in nursing students. 238 nursing students were selected by a convenience sampling method. The data were collected by self - reported questionnaires from 12 to November 19, 2001. The data were analyzed by using descriptive statistics, pearson correlation coefficient, stepwise multiple regression with an SPSS program. The result of this study were as follows: 1. The average score of health promoting behavior was 2.47(SD=0.36)of a 4 point scale. Self actualization (mean=2.94, SD=0.50), interpersonal support (mean=2.91, SD=0.53), stress management(mean=2.58, SD=0.48), health responsibility(mean=2.07, SD=0.48)) nutrition & exercise(mean=2.07, SD=0.48)) were also analyzed. 2. Health promoting behavior showed significant positive correlations with self­esteem(r=0.446, p<0.001) perceived health status(r=0.180, p<0.01), perceived benefits (r=0.183. p<0.01). self-efficacy(r=0.311, p<0.001), social support(r=0.447, p<0.001), control(r=0.169, p<0.01). 3. The combination of self-esteem, social support, affect related to action explained $38.0\%$ of the variance in health promoting behavior. On the basis of the above findings. self-esteem and social support were identified as the variables which explained most of Pender's health promoting model. Nursing strategies enhancing self-esteem and social support which have a more significant effect on health promoting lifestyles should be developed.