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Quality and Affecting Factor of Care for Patients Hospitalized with Pneumonia (폐렴 입원환자 진료과정의 질적 수준과 이에 영향을 미치는 요인: 임상질지표를 중심으로)

  • Moon, Sangjun;Lee, Jin-Seok;Kim, Yoon;You, Sun-Ju;Choi, Yun-Kyoung;Suh, Soo Kyung;Kim, Yong-Ik
    • Tuberculosis and Respiratory Diseases
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    • v.66 no.4
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    • pp.300-308
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    • 2009
  • Background: The quality of care for patients with community acquired pneumonia needs to be improved; the factors affecting this care need to be analyzed. The objectives of this study were used to measure the performance of care processes of for patients with pneumonia and to determine those patient and hospital characteristics are associated with quality care. Methods: The analysis was performed using data from 21 hospitals that had over 500 beds for 1,001 patients, who were sampled randomly. All patients were born before 31 December 1989, and discharged between the two months' August 2006 and October 2006. Performance process indicators were measured by respective hospital, and multivariate logistic regression was used to calculate associations between patients and hospital characteristics using 4 process indicators. Results: Performance rates in timely assessment of oxygenation assessments and blood cultures, correct administration of antibiotic medications, and blood culture performed prior to initial antibiotics were 69.4%, 79.1%, 82.5% and 60.5%, respectively. Age had a positive affect on oxygenation assessment within 24 hours. Bed number, number of nurses per bed, annual number of emergency department visits, average percentage of beds filled, location and arrival time, and site were factors associated with process indicators. Conclusion: It is necessary to make up for the weak points in the process of care for patients with community acquired pneumonia, by enforcing quality assurance. To reduce performance rate variation among hospitals, improvement in care protocols is required for hospitals that have poor quality of care levels.

A Study of Family Caregiver's Burden for the Terminally III Patients (지역사회 말기질환자 가족 부담감에 관한 연구)

  • Han, Sung-Suk;Ro, You-Ja;Yang, Soo;Yoo, Yang-Sook;Kim, Sek-Il;Hwang, Hee-Hyung
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.10 no.1
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    • pp.58-72
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    • 2003
  • The purpose of this study was to describe the perceived burden of the terminally III patients's caregiver and to analyze relationship between the perceived burden and the various demographics, illness characteristics, family relationships, and economic factor of the family & patients. The sample of 132 caregivers who care for the terminally III patients Kyung-Gi province, Seoul, Korea. The period of this study was from August to September, 2002. The perceived burden of the family caregiver was measured by the burden scale(20 items, 4 point scale) developed by Montgomery et al. (1985). The Data was analyzed using SAS-program by t-test and ANOVA. The results were as follows; 1. The mean of the family caregiver's burden score was 3.02. The score showed that caregivers perceive severe the level of burden. The hight items of the family caregiver's burden were' I feel it is painful to watch patient's diseases'(3.77). 'I feel afraid for what the future holds for my patients'(3.66), 'I feel it reduced to amount of privacy time'(3.64). 2. The caregiver's burden was significantly related to patient's gender(F=3.17, p= 0.0020), patient's job(F=2.49, p=0.0476), caregiver's age(F=4.29, p=0.0030), and caregiver's job(F=2.49, p=0.0476). 3. The caregiver's burden according to illness characteristics showed no significant difference. 4. The caregiver's burden was significantly associated with patient's family relationship (F=4.05, p=0.0041), patient's care mean period in a day(F=47.18,

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RELATIONSHIP BETWEEN DENTOCULT-SM TEST, MICROBIAL ANALYSIS AND DENTAL CARIES IN THE PRE-SCHOOL CHILDREN (미취학아동들의 유치우식경험도와 개량형 Dentocult-SM 검사 및 치면세균막 세균활성과의 관련성)

  • Shin, Doo-Kyo;Kim, Ji-Young;Song, Keun-Bae;Nam, Soon-Heyun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.30 no.2
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    • pp.254-262
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    • 2003
  • Dental caries has a multifactorial aetiology in which there is an interplay of three principal factors: the host(saliva and teeth), the microflora(dental plaque) and the substrate(diet), and a fourth factor time. There is no single test that takes into consideration all these factors and can accurately predict an individual's susceptibility to dental caries. The risk of dental caries can be evaluated by analysing and integrating several causative factors. The objective of the study was to clarify the relationship between caries activity and the status of caries of primary teeth and the relationship between the quantity of S. mutans in the dental plaque and the status of dental caries. Forty nine children ages 5 were examined with caries indices, Dentocult-SM and quantity of S. mutans. The results were as follows: All the survey results were similar with national means of 5-6 years Korean preschool children. The deft index of subjects was 5.46 and defs index was 9.81. There was 8.6% of negative, 10.9% of mild, 28.1% of moderate and 52.3% of active results at screening strip test. 8.6% was negative, 17.2% was mild, 33.6% was moderate and 40.6% was active in site strip test. The Spearman correlation coefficient was 0.775, and overall kappa index was 0.496 between screening strip test and site strip test. There also was a high correlation between caries incidence, Dentocult-SM test, and quantity of S. mutans. Dentocult-SM test as a caries activity test is a reliable method for measuring the status of dental caries in primary teeth.

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Multicultural Competency of University Students Majoring in Food and Nutrition (식품영양학 전공 대학생들의 다양한 식문화에 대한 지식 및 다문화 태도와 기술)

  • Lee, Kyung-Eun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.8
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    • pp.1325-1334
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    • 2013
  • The purposes of the study were to assess the multicultural competencies and to identify potential barriers toward improving multicultural competencies of food and nutrition majors at the university level. A total of 500 students were surveyed and 457 responses were analyzed for the study. The multicultural competencies, based on a literature review, included food culture knowledge, multicultural attitude, and multicultural skills. Approximately half of the respondents took a food culture class as a college course. The food and nutrition majors showed positive multicultural attitudes; however, food culture knowledge scores for traditional Korean food culture and 11 other food cultures remained low (average score: 63.7 out of 100 points). In addition, familiarity with cultural foods and knowledge of food-related cultures were not necessarily related. As a result of factor analysis, multicultural skills, required for dietitians, were classified into three factors: professional skills, food preparation skills, and communication skills. Overall, students rated their professional skills the highest and communication skills the lowest. Multicultural attitudes and skills increased with school years, and students who took a food culture class showed significantly higher multicultural attitudes and knowledge scores compared to their counterparts. Economical issues, lack of time, and lack of opportunities for learning multicultural competencies in majors and experiencing different cultures were highly rated potential barriers for improving multicultural competencies. Our research indicates that food and nutrition educators should review their curriculums to incorporate content that encourages food and nutrition majors to learn about other food cultures and improve their multicultural competency. These skills will be critical for food and nutrition professionals in the multicultural age.

RALY RNA Binding Protein-like Reduced Expression is Associated with Poor Prognosis in Clear Cell Renal Cell Carcinoma

  • Cui, Zhi-Wen;Xia, Ye;Ye, Yi-Wang;Jiang, Zhi-Mao;Wang, Ya-Dong;Wu, Jian-Ting;Sun, Liang;Zhao, Jun;Fa, Ping-Ping;Sun, Xiao-Juan;Gui, Yao-Ting;Cai, Zhi-Ming
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.7
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    • pp.3403-3408
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    • 2012
  • The molecular mechanisms involved in the progression of clear cell renal cell carcinomas (ccRCCs) are still unclear. The aim of this study was to analyse the relationships between expression of RALYL and clinical characteristics. In 41 paired samples of ccRCCs and adjacent normal tissues, we used real-time qPCR to evaluate the expression of RALYL mRNA. RALYL protein levels were determined in 146 samples of ccRCC and 37 adjacent normal tissues by immunohistochemistry. Statistical analysis was used to explore the relationships between expression of RALYL and the clinical characteristics (gender, age, tumor size, T stage, N stage, M stage, survival times and survival outcome) in ccRCC. In addition, these patients were follow-up period 64 months (range: 4~116months) to investigate the influence on prognosis. We found significantly differences between ccRCC tissues and normal tissues (p<0.001, paired-sample t test) in mRNA levels of RALYL. Immunohistochemistry analyses in 146 ccRCC samples and 37 adjacent normal tissues showed significantly lower RALYL protein levels in ccRCC samples (${\chi}^2$-test, p<0.001), inversely correlating with tumour size (p=0.024), T stage (0.005), N stage (p<0.001) as well as M stage (p=0.019), but not age (p=0.357) and gender (p=0.348). Kaplan-Meier survival analysis demonstrated that people with lower level of RALYL expression had a poorer survival rate than those with a higher level of RALYL expression, significantly different by the log-rank test (p=0.011). Cox regression analysis indicated that RALYL expression (p=0.039), N stage (p=0.008) and distant metastasis (p<0.001) were independent prognosis factors for the overall survival of ccRCC patients. We demonstrated that the expression of RALYL was significantly low in ccRCC and correlated with a poor prognosis in a large number of clinical samples. Our findings showed that RALYL may be a potential therapeutic target as well as a poor prognostic factor.

The Effect of Accounts Receivable Management on Business Performance & Organizational Satisfaction: Focused on Micro Manufacturing Industries (매출채권관리가 재무적 경영성과와 조직만족에 미치는 영향: 도시형소공인을 중심으로)

  • Lee, Jong Gab;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.6
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    • pp.13-24
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    • 2017
  • The purpose of this study is to examine the effect of the management of receivables on the management performance of micro manufacturing industries. The results of the survey are as follows. First, among the factors of management of pre- and post-trade receivables in the micro manufacturing industries, management organization and regulations, contract execution management, bad debt control, which are the subordinate factors of credit control, are positive (+) significant effect on stability. In terms of profitability, management organizations and regulations, which are subordinate factors of credit control management, have a positive (+) significant effect on profitability. The recovery management, which is a factor of management of post - receivable receivables, did not have a significant effect on the stability and profitability of financial management performance. Second, the effect of financial performance on organizational satisfaction is positively related to stability, while profitability has no significant effect on organizational satisfaction. The implication of this study is that pre - trade receivables management is more important than post - trade receivables management in the management of accounts receivables of micro manufacturing industries. Proactive credit management refers to the procedure of establishing and managing personal guarantees and physical guarantees in order to smooth the execution of the obligations at the same time as the contract is concluded through processes such as credit investigation, analysis and evaluation, and sales decision before the contract is concluded. Post receivables management based on the assumption of default is a receivables management procedure from receipt of receivables that are already defaulted to bad debts to bad debt processing. If the collection of receivables is delayed or bad debt is increased, Furthermore, a corporation may be subject to bankruptcy risk (insolvency by paper profits). Therefore, it is meaningful that this study suggests direction to induce change of contract type in advance by understanding the possibility of settlement of accounts receivable and recovery of bad debts within the day of transition in case of contract of micro manufacturing industries.

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Factors Influencing the Adoption of Location-Based Smartphone Applications: An Application of the Privacy Calculus Model (스마트폰 위치기반 어플리케이션의 이용의도에 영향을 미치는 요인: 프라이버시 계산 모형의 적용)

  • Cha, Hoon S.
    • Asia pacific journal of information systems
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    • v.22 no.4
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    • pp.7-29
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    • 2012
  • Smartphone and its applications (i.e. apps) are increasingly penetrating consumer markets. According to a recent report from Korea Communications Commission, nearly 50% of mobile subscribers in South Korea are smartphone users that accounts for over 25 million people. In particular, the importance of smartphone has risen as a geospatially-aware device that provides various location-based services (LBS) equipped with GPS capability. The popular LBS include map and navigation, traffic and transportation updates, shopping and coupon services, and location-sensitive social network services. Overall, the emerging location-based smartphone apps (LBA) offer significant value by providing greater connectivity, personalization, and information and entertainment in a location-specific context. Conversely, the rapid growth of LBA and their benefits have been accompanied by concerns over the collection and dissemination of individual users' personal information through ongoing tracking of their location, identity, preferences, and social behaviors. The majority of LBA users tend to agree and consent to the LBA provider's terms and privacy policy on use of location data to get the immediate services. This tendency further increases the potential risks of unprotected exposure of personal information and serious invasion and breaches of individual privacy. To address the complex issues surrounding LBA particularly from the user's behavioral perspective, this study applied the privacy calculus model (PCM) to explore the factors that influence the adoption of LBA. According to PCM, consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. Consistent with the principal notion of PCM, we investigated how individual users make a risk-benefit assessment under which personalized service and locatability act as benefit-side factors and information privacy risks act as a risk-side factor accompanying LBA adoption. In addition, we consider the moderating role of trust on the service providers in the prohibiting effects of privacy risks on user intention to adopt LBA. Further we include perceived ease of use and usefulness as additional constructs to examine whether the technology acceptance model (TAM) can be applied in the context of LBA adoption. The research model with ten (10) hypotheses was tested using data gathered from 98 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a LBA allows the participant to purchase time-and-location sensitive discounted tickets for nearby stores. Structural equations modeling using partial least square validated the instrument and the proposed model. The results showed that six (6) out of ten (10) hypotheses were supported. On the subject of the core PCM, H2 (locatability ${\rightarrow}$ intention to use LBA) and H3 (privacy risks ${\rightarrow}$ intention to use LBA) were supported, while H1 (personalization ${\rightarrow}$ intention to use LBA) was not supported. Further, we could not any interaction effects (personalization X privacy risks, H4 & locatability X privacy risks, H5) on the intention to use LBA. In terms of privacy risks and trust, as mentioned above we found the significant negative influence from privacy risks on intention to use (H3), but positive influence from trust, which supported H6 (trust ${\rightarrow}$ intention to use LBA). The moderating effect of trust on the negative relationship between privacy risks and intention to use LBA was tested and confirmed by supporting H7 (privacy risks X trust ${\rightarrow}$ intention to use LBA). The two hypotheses regarding to the TAM, including H8 (perceived ease of use ${\rightarrow}$ perceived usefulness) and H9 (perceived ease of use ${\rightarrow}$ intention to use LBA) were supported; however, H10 (perceived effectiveness ${\rightarrow}$ intention to use LBA) was not supported. Results of this study offer the following key findings and implications. First the application of PCM was found to be a good analysis framework in the context of LBA adoption. Many of the hypotheses in the model were confirmed and the high value of $R^2$ (i.,e., 51%) indicated a good fit of the model. In particular, locatability and privacy risks are found to be the appropriate PCM-based antecedent variables. Second, the existence of moderating effect of trust on service provider suggests that the same marginal change in the level of privacy risks may differentially influence the intention to use LBA. That is, while the privacy risks increasingly become important social issues and will negatively influence the intention to use LBA, it is critical for LBA providers to build consumer trust and confidence to successfully mitigate this negative impact. Lastly, we could not find sufficient evidence that the intention to use LBA is influenced by perceived usefulness, which has been very well supported in most previous TAM research. This may suggest that more future research should examine the validity of applying TAM and further extend or modify it in the context of LBA or other similar smartphone apps.

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Corporate Bond Rating Using Various Multiclass Support Vector Machines (다양한 다분류 SVM을 적용한 기업채권평가)

  • Ahn, Hyun-Chul;Kim, Kyoung-Jae
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.157-178
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    • 2009
  • Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.

Task Satisfaction, Job Satisfaction, Organizational Commitment, and Turnover Intension of Center for Children's Foodservice Management Employees (어린이급식관리지원센터 직원의 업무만족, 직무만족, 조직몰입 및 이직의도)

  • Park, Eun Hye;Lee, Young Eun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.12
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    • pp.1881-1894
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    • 2015
  • The objective of this study was to provide information on difficulty of performing tasks, degree of task satisfaction, job satisfaction, organizational commitment, and turnover intention as well as investigate correlations among these factors. Data were collected on employees working at Centers for Children's Foodservice Management, which had been operating for over 6 months until December 2013. The recruitment period was from December 16, 2013 to January 30, 2014. A total of 228 employees (79.7%) participated in the study, and 227 completed questionnaires were analyzed. Statistical analyses were performed on the data utilizing the SPSS V20.0 and AMOS V21.0 programs. The main results of this study were as follows: task satisfaction of employees in charge of 'visiting-teaching' for children was highest (4.24 points), whereas that of employees in charge of financial management was lowest (2.92 points). In terms of evaluation of job satisfaction factors, the score of 'co-worker' was highest (3.99 points) while that of 'payment' was lowest (2.45 points). Average scores of general job satisfaction, organizational commitment, and turnover intention were 3.56 points, 3.54 points, and 3.07 points, respectively. Job achievement was the most significant influencing factor on general job satisfaction, organizational commitment, and turnover intention. According to the path analysis results, the degree of task satisfaction affected job satisfaction. Organizational commitment had a more significant effect on turnover intention than job satisfaction and mediate both job satisfaction and turnover intention. Although employees of CCFSMs endeavor to improve the quality of child-care facility foodservice, some facilities do not. Controlling turnover intention of employees is especially critical for CCFSMs since it is important for each employees to form strong bonds with child-care facilities as well as to shorten the time required to train new employees. Thus, job satisfaction, which is related to organizational commitment and turnover intention, can be improved by considering poorly scored job satisfaction factors such as wage or workload.

SEMI-LONGITUDINAL STUDY ON GROWTH AND DEVELOPMENT OF CHILDREN AGED 6 TO 17 -Part III : GROWTH CHANGE OF CRANIOFACIAL HARD TISSUE (한국인 6-17세 아동의 성장과 발육에 관한 준종단적 연구 -제 3 세부 과제 : 두개 및 안면 경조직의 성장변화)

  • Hwang, Chung-Ju;Kil, Jea-Kyoung;Lim, Seon-A
    • The korean journal of orthodontics
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    • v.26 no.5 s.58
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    • pp.469-485
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    • 1996
  • Orthodontic patients are individuals that grow and develop ; therefore selection of the proper time for orthodontic treatment is considered to be one of most difficult and yet difficult factor. Since the development of cephalometric X-ray, amount and Pattern of craniofacial growth change with aging could be predicted and be came useful in the process of orthodontic treatment. The relationship between the mean values of cephalometric measurements and body height and weight was studied among the groups(boys and girls) of Korean children from the ages 6-years to 17-years. 409 boys and 437 girls with no abnormality in growth and development and no history of orthodontic treatment from the ages of 6 years to 17 years were chosen as subjects Cephaloment X-ray were taken for 3 years and hard tissue analysis based on Burstone's COGS, which was devided into measurements of 6 parts(Cranial base, Maxillar and Mandible, Dental measurements). The relationship between craniofacial growth and height & weight was studied. The following conclusions were obtained : 1. The maximum growth in the measurements of cranial base, N-Ar(FH), N-Ba(FH) corresponded with the age with the maximum increase in body height & weight in both boys and girls. 2. Genial angle gradually decreased with aging in both boys and girls. 3. N-ANS(L) showed greater amount of growth than ANS-Ne(L), and this had greater influence on facial profile. 4. N-A-$Pog^{\circ}$ decreased with aging, and mandibular growth exceeded maxillary growth in amount and rate. 5. Length of Y-axis Increased, but Y-axis to FH plane remained constant. This show that mandible grows at a constant angulation to cranial base. 6. As permanent teeth erupt, interincisal angle deceased.

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