This study examined the relationships between the cognitions and strategies of child's problem behaviors depending on the level of preschool teacher's professional development. Participants were 176 preschool teachers in B Metropolitan city. The teachers completed rating scales to measure teacher's professional development, the perception of child's problem behaviors, and teacher's guiding strategies for child's problem behaviors. The collected data were analyzed using descriptive statistics, one-way ANOVA, and Pearson correlations. Results showed that there were different cognitions of child's problem behaviors depending on the level of teacher's professional development. Secondly, child's problem behavior guiding strategies by the level of teacher's professional development were significant differences in the positive prevention strategy I, II, and the positive reaction strategy. Finally, there were somewhat different relationship between the cognition of child's problem behaviors and the problem behavior guiding strategies according to the level of teacher's professional development. Findings are discussed in terms of the importance of teacher's professional development in the context of teacher's education planning for teacher's guiding strategy about preschooler's problem behavior.
Purpose: The purpose of this study was to examine the relationship between professional nursing values and career preparation behaviors in senior nursing students. Method: The sample consisted of 199 nursing students before getting jobs who attended a nursing vocational college in Daegu and a nursing department of a university in J city of Chungcheongbuk-do. The data were collected from the first of May to the first of June in 2010. Results: The mean score was 106.76 for professional nursing values. The highest reported score of the nursing professional values domains was professionalism of nursing and was followed by nursing practical role and professional self-concept. The mean score was 42.66 for career preparation behavior. There was alow correlation between professional nursing values and career preparation behaviors. Conclusion: This finding suggests nursing students have differences from career preparation behaviors according to viewpoints about nursing as a professional job. Therefore, it is necessary to develop new curriculum and reinforce existing education for developing of professional nursing values. Moreover, nursing education institutes should set up educational objectives related to their general characteristics for improving career preparation behavior.
Purpose: The purpose of the study was to identify factors affecting the innovative behavior of general hospital professional staff. Methods: In the final analysis, the study focuses on the 442 structured questionnaires received from the professional staff (doctors, nurses, medical technicians, and administrative staff) of H Hospital, a public medical foundation. Data were collected from August 1 to 31, 2014. The SPSS/WIN 19.0 program was used for data analysis which included t-test, ANOVA, $Scheff\acute{e}$ test, Pearson correlation coefficients, and multiple regression analysis. Results: Multiple regression showed that factors affecting innovative behavior of hospital professional staff were conditional reward, innovation-oriented culture, education, and job (Adj $R^2=.317$). Conclusion: The results of this study suggest that it is necessary for the leader to demonstrate leadership with innovation and transaction in harmony to cultivate innovative behavior in hospital staff. Also, positive support and role in the hospital organization are fundamental to developing the strengths that each type of culture possess on the basis of the organizational culture of hospital, enabling hospital staff to exhibit their best voluntary innovative behavior.
Purpose: The degree of caring behavior of oncology nurses is a crucial factor in the care provided to patients with cancer. In this study, we aimed to investigate factors related to oncology nurses' caring behavior, including their resilience and professional quality of life. Methods: A cross-sectional descriptive study was conducted with 107 oncology nurses at an urban tertiary hospital from May 18 to 24, 2015. We used a self-report questionnaire to measure resilience, professional quality of life, and degree of caring behavior. Data analysis included descriptive statistics, correlations, and multiple regression analysis using SPSS/WIN 20.0. Results: Oncology nurses presented with low levels of resilience and caring behavior, and high levels of compassion satisfaction, burnout, and secondary traumatic stress. There was a statistically significant relationship between the degree of caring behavior, resilience (r = .43, p < .001), compassion satisfaction (r = .51, p < .001), and burnout (r = - .42, p < .001), as well as between secondary traumatic stress and burnout (r = .34, p < .001). Factors associated with oncology nurses' degree of caring behavior were compassion satisfaction (t = 6.00, p < .001) and educational level (t = 3.45, p = .001). Conclusion: This study demonstrates that oncology nurses' degree of caring behavior is related to their professional quality of life and education. These findings suggest that enhancing oncology nurses' healthy coping strategies at both the individual and organizational levels can further develop holistic nursing care. Additionally, it is necessary to examine the factors affecting nurses' compassion satisfaction and to try to promote this aspect.
Objectives: The purpose of this study was to examine the impact of chronic disease on oral health behavior. Methods: The subjects were 317 adults over 30-years old living in urban and rural areas. They were selected by convenience sampling method and filled out the self-reported questionnaire. The questionnaire consisted of general characteristics, dental treatment, chronic disease, and oral health behavior including oral health self-care behavior and professional oral health care. Results: The self-care oral health behavior and the professional oral health care had a negative correlation with the chronic diseases. Especially, the self-care oral health behavior and the professional oral health care had a statistically significant negative correlation with hypertension and osteoporosis. Multiple regression analysis was performed after including general characteristics, dental treatment, chronic disease. Meanwhile the presence of chronic disease had a significant influence on the self-care oral health behavior and the professional oral health care. Hypertension and Osteoporosis were the most influential factors of chronic diseases and had a significant influence on the oral health behavior. In conclusion, the chronic diseases aggravated the oral health behavior practice. Conclusions: presence of chronic disease affects oral health behavior. Therefore, the effective intervention and education programs related to oral health care are necessary to enhance adult's oral health behavior and total health. The continuous follow-up study will determine the causal relationship between oral health behavior and the presence of chronic disease.
Objectives: This study was performed to suggest the roles and professional competencies of health education specialists to improve the efficacy of health promotion activities in public health organizations. Results and Conclusion: Based on the advanced cases of utilizing health education specialists in international and domestic public health organizations, five key roles of health education specialists were proposed. They included developing and applying behavior change strategies necessary to begin and maintain health behavior practices, analysing the needs of the priority population in a systematic way, organizing multiple health behavior change programs and multilevel intervention programs, and doing research on health determinants and scientific evidence of health promotion programs, In order to improve the quality of health promotion services in public health organizations, professional competencies of health education specialist should be developed and strengthened.
To know the differences between health concern, health behavior, and subjective health cognition in urban and rural area, author used the correlation analysis between variables and wanted to provide basic data for public health service to support appropriate health care, health maintenance, and health promotion in community. Data collection were done in JeonBuk area from September 10 to October 10, 2001, and subjects were above 20 years old adult. 350 and 250 subjects were from urban and rural area by random sampling, respectively. Questionnaire were completed by interview with direct or self-recording type. Research tool was questionnaire with health concern, health behavior, and subjective health cognition, and data collected were analyzed into descriptives, crosstabs, T-test, ANOVA, Pearson correlation coefficient by SPSS 10.0 program. The results were as follows: 1. Health concern was 9.0% for upper group, 39.1% for middle group, 51.9% for lower group in urban area, and 10.1% for upper group, 41.0% for middle group, 48.8% for lower group in rural area. Health concern for middle and lower group was totally high percentage, and rural area had higher health concern than urban area. 2. Health behavior in both urban and rural area was statistically significant(p<0.01). Women who had higher age and with spouse had high degree of health behavior, and urban area had totally high score for health behavior compared to rural area. 3. Subjective health cognition was 71.0% for health, 29.0% for non-health in urban area, and 61.3% for health, 38.7% for non-health in rural area. Percentage of health group was higher in urban area than in rural area. 4. Degree of health behavior by health concern was statistically significant only in rural area. That is to say, the higher health concern had the higher degree of health behavior in rural area. Subjective health cognition by health behavior was totally significant correlation with health behavior in urban and rural area(p〈0.05). That is to say, the higher health behavior in urban and rural area had the higher subjective health cognition. 5. For correlations between 3 variables, there was significant correlation between health behavior and subjective health cognition in urban area (p<0.01). There were correlations between health concern and health behavior, health behavior and subjective health cognition(p<0.05). Considering above results, the higher health behavior had the higher subjective health cognition in urban area. The higher health concern had the higher behavior, and the higher health behavior had the higher subjective health cognition in rural area.
Objectives: This study evaluated the outcomes of continuing professional education in implant dentistry using Kirkpatrick's four-level evaluation model. Material and methods: The study was carried out through a questionnaire distributed to dentists who attended a continuing professional education in implant dentistry, 2008~2012. They were asked to fill out questionnaires at least 6 months after its completion. Results: Mean ages of total 23 dentist was $44.8^{\circ}{\ae}8.2$. Mean period after completion of education was $2.7^{\circ}{\ae}1.2$. Knowledge (level 2) (r=0.71, p<0.01) and behavior (level 3) (r=0.68, p<0.01) was positively correlated with topic and methods of education in reaction (level 1). Behavior was positively correlated with knowledge (r=0.79, p<0.01). Result (level 4) was positively correlated with knowledge (r=0.64, p<0.01) and behavior (r=0.86, p<0.01). Conclusion: Reaction affects on knowledge, behavior and result in order.
This study tried to analyze influencing factors on self-perceived health status(SPHS) of labors in workplace. and suggested the preventive oriental medicine approaches in occupational health care. 914 data for research were collected through the process of oriental health examination with questionnaire in workplace and collected data were analyzed with frequency, homogeneity and correlation statistically. The results were as follows : 1) The distributions of SPHS was 58.4% of healthy group. 41.6% of unhealthy group. 2) For the difference of SPHS by stress, the high level stress group was more included in healthy group(p<0.05). 3. For the difference of SPHS by health behavior. the higher score of health behavior group was more included in healthy group. There was statistically significant difference of SPHS in physical exercise, but not in smoking, drinking, sleeping and body mass index. 4. For the difference of SPHS by the latest health examination results, non-disease group was more included in healthy group, while disease group was more included in unhealthy group. From the above results, SPHS was influenced by stress, health behavior, the latest health examination results. Therefore oriental medical service for occupational health must be interested in the these influencing factors and make an effort to change their perception of health as well as physical improvement.
Purpose: Diabetes Self Management Behavior (DSMB) is crucial for the elderly with diabetes to prevent diabetes complications and to improve their quality of life. The Purposes of this study were to investigate the current status of DSMB and to identify motivational factors related to DSMB in community dwelling older adults with diabetes. Methods: The subjects were 150 diabetic elderly who visited 2 community senior centers in S city. DSMB scale consisted of 5 sub-domains; Being active, healthy eating, regular medication, glucose monitoring, and foot care rated by a scale with a range of 0 to 7. Personal motivation(i.e., intention to behavior) and social motivation including family support and health professional support were measured. Results: The mean score of DSMB was 4.27. The mean score of intention to behavior was 2.52. DSMB was related to Intention to behavior (r=.461, p<.001), family support (r=.342, p<.001), and health professional support (r=.284, p<.001). In regression analysis, a total of 33.4% of variance in DSMB was accounted for by intention to behavior, family support, and health professional support. Conclusion: To improve DSMB of the elderly, diabetes educator should consider on the strategies across both personal and social motivation related to DSMB.
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