• Title/Summary/Keyword: regression

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No Association between (AAT)n Repeat Polymorphisms in the Cannabinoid Receptor 1 Gene and Smooth Pursuit Eye Movement Abnormality in Korean Patients with Schizophrenia (한국인 조현병 환자에서CNR1 유전자의 (AAT)n 삼핵산 반복 다형성과 안구추적운동 이상에 대한 연합 연구)

  • Kim, Min Jae;Kim, Chae-Ri;Park, Jin Wan;Pak, Doo Hyun;Shin, Hyoung Doo;Choi, Ihn-Geun;Hahn, Sang Woo;Hwang, Jaeuk;Lee, Yeon Jung;Woo, Sung-Il
    • Korean Journal of Biological Psychiatry
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    • v.23 no.4
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    • pp.148-156
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    • 2016
  • Objectives According to previous studies, the cannabinoid receptor 1 (CNR1) gene could be an important candidate gene for schizophrenia. Some studies have linked the (AAT)n trinucleotide repeat polymorphism in CNR1 gene with the risk of schizophrenia. Meanwhile, smooth pursuit eye movement (SPEM) has been regarded as one of the most consistent endophenotypes of schizophrenia. In this study, we investigated the association between the (AAT)n trinucleotide repeats in CNR1 gene and SPEM abnormality in Korean patients with schizophrenia. Methods We measured SPEM function in 167 Korean patients with schizophrenia (84 male, 83 female) and they were divided according to SPEM function into two groups, good and poor SPEM function groups. We also investigated allele frequencies of (AAT)n repeat polymorphisms on CNR1 gene in each group. A logistic regression analysis was performed to find the association between SPEM abnormality and the number of (AAT)n trinucleotide repeats. Results The natural logarithm value of signal/noise ratio (Ln S/N ratio) of the good SPEM function group was $4.34{\pm}0.29$ and that of the poor SPEM function group was $3.21{\pm}0.70$. In total, 7 types of trinucleotide repeats were identified, each containing 7, 10, 11, 12, 13, 14, and 15 repeats, respectively. In the patients with $(AAT)7$ allele, the distributions of the good and poor SPEM function groups were 18 (11.1%) and 19 (11.0%) respectively. In the patients with $(AAT)_{10}$ allele, $(AAT)_{11}$ allele, $(AAT)_{12}$ allele, $(AAT)_{13}$ allele, $(AAT)_{14}$ allele and $(AAT)_{15}$ allele, the distributions of good and poor SPEM function groups were 13 (8.0%) and 12 (7.0%), 4 (2.5%) and 6 (3.5%), 31 (19.8%) and 35 (20.3%), 51 (31.5%) and 51 (29.7%), 36 (22.2%) and 45 (26.2%), 9 (5.6%) and 4 (2.3%) respectively. As the number of (AAT) n repeat increased, there was no aggravation of abnormality of SPEM function. Conclusions There was no significant aggravation of SPEM abnormality along with the increase of number of (AAT)n trinucleotide repeats in the CNR1 gene in Korean patients with schizophrenia.

An Empirical Study on Influence of Venture Preparation on Business Performance of Initial Venture Foundation: Focused on The Effect of Controlling The Period of Venture Preparation (창업준비성이 창업초기기업 경영성과에 미치는 영향에 관한 실증연구: 창업준비기간의 조절효과 중심)

  • Oh, jaiwoo;Lee, Donghyung;Kang, Jinkyu
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.4
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    • pp.67-80
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    • 2015
  • Although recent policies and regulations in Korea strongly advocate and encourage cultivation of venture foundations, studies on venture foundation and success are very limited and often primarily focus on entrepreneurship or individual quality as a venture founder in addition to such studies' validity in question. Therefore, this study primarily focuses on venture preparation process which is subject to venture founder's effort to verify the policy effectiveness in the relationship between venture preparation and business performance. Major goal of this study is to reduce social cost of venture failure by suggesting systematic policy support for venture foundations and analyzing the relationship between following variables: first, venture preparation and financial performance, second, venture preparation and non-financial performance, and third, venture preparation and business performance. 400 initial venture foundations less than 5 years are selected from KISED(Korea Institute Startup & Entrepreneurship Development) trend analysis to carry out statistical analysis using SPSS 18.0. To organize the data features, frequency analysis as well as descriptive statistics are performed to verify the hypothesis. As a result, sub-factors in measurement of venture preparation which are venture education period, venture benefit, and experience of incubating organization are selected as independent variables. Likewise, sub-factors in measurement of business performance which are financial performance and non-financial performance are used as dependent variables. To validate interactive effect, venture preparation period is selected as control variable to perform hierarchical regression analysis. The analysis result verifies that venture benefit has positive influence on financial and non-financial performance while venture education period has positive influence on non-financial influence and experience of incubating organization has negative influence on non-financial performance without influence on financial performance. In addition, interaction of venture preparation period has positive influence solely between venture benefit and non-financial performance. Through this study, appropriate supporting plans depending on the level of venture preparation can be derived to improve business performance of initial venture foundations for policy designer of venture support, and quality rather than quality improvement of venture businesses is possible through investigation of structural issues of individual venture businesses. Ultimately, this study suggests venture founders to determine whether to focus on venture preparation process or to start a venture business.

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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.

The Predictors of Cerebral Infarction in Mitral Stenosis (승모판협착증 환자에서 뇌경색발생의 예측인자)

  • Kim, Hyung-Jun;Kim, Woong;Lee, Jong-Suk;Hong, Gue-Ru;Park, Jong-Sean;Sin, Dong-Gu;Kim, Young-Jo;Shim, Bong-Sup
    • Journal of Yeungnam Medical Science
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    • v.17 no.1
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    • pp.75-81
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    • 2000
  • Background: Systemic embolism, especially, cerebral infarction is one of the most important complications in patients with mitral stenosis. The authors analyzed the some factors that could predict the development of cerebral infarction in cases of mitral stenosis and propose preventive therapeutic measures. Methods: Retrospective study of 127 patients with rheumatic mitral stenosis was performed by analyzing their medical records for transthoracic(TTE) or transesophageal echocardiography(TEE) over a 12 months period. The patients were divided into two groups according to the presence (Group I: n=26, age: $55.0{\pm}13$ years) or absence (Group II: n=101, age: $48.5{\pm}13$ years) of cerebral infarction. No significant difference was observed between the two groups with respect to sex and functional class. Results: Patients in group I were older ($55.0{\pm}13$ vs $48.5{\pm}13$;p<0.05). had more dilated left atrial size($5.10{\pm}0.48$ vs $4.81{\pm}0.70$;p<0.05) and smaller mitral surface area($1.01{\pm}0.39$ vs $1.21{\pm}0.45$;p<0.05). In Group 1. the incidence of atrial fibrillation(22 out of 26 vs 57 out of 101;p<0.05) and spontaneous left intra-atrial contrast phenomenon(22 out of 26 vs 44 out of 101;p<0.05) was more frequently observed. On multivariate analysis. atrial fibrillation and anticoagulant therapy were the independent predictive factors. Conclusion: Age, left atrial dilatation, the severity of mitral stenosis, the presence of spontaneous contrast, and especially the presence of atrial fibrillation are the main predictive factors of the development of cerebral infarction in mitral stenosis. Patients presenting one or several of these factors may benefit from prophylactic anticoagulant treatment.

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Clinical Implications of p57KIP2 Expression in Breast Cancer

  • Xu, Xiao-Yin;Wang, Wen-Qian;Zhang, Lei;Li, Yi-Ming;Tang, Miao;Jiang, Nan;Cai, Shou-Liang;Wei, Liang;Jin, Feng;Chen, Bo
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.10
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    • pp.5033-5036
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    • 2012
  • Objective: To study the relationship between expression of $p57^{KIP2}$ and prognosis and other clinicopathological parameters in invasive breast cancers. Methods: We assessed the expression of $p57^{KIP2}$ in 89 cases of invasive breast cancer and 20 cases of normal breast tissue by immunohistochemical methods and analyzed the results with SPSS software (ver. 16.0). Result: The positive expression rates of $p57^{KIP2}$ protein in the invasive breast cancers and surrounding normal tissue were 30.3% (27/89) and 65% (13/20), respectively. Cases with no $p57^{KIP2}$ expression exhibited a significantly higher post-operative distant metastasis rate than those with $p57^{KIP2}$ expression (37.9% vs. 14.8%; P = 0.01). DFS analysis showed that $p57^{KIP2}$-/C-erbB-2+ tumors also exhibited a significantly higher post-operative distant metastasis rate than the other groups (66.7% vs. 29.2%; P = 0.007), as did $p57^{KIP2}$-/p53+ tumors (64.3% vs. 22.7%; P = 0.001). Survival analysis revealed that $p57^{KIP2}$ was associated with breast cancer-specific survival overall (P = 0.045, log-rank test). Subgroup analysis demonstrated that individuals with $p57^{KIP2}$-/C-erbB-2+tumors experienced significantly worse post-operative survival than those with $p57^{KIP2}$-/C-erbB-2- or other tumors (P = 0.006, log-rank test). $p57^{KIP2}$-/p53+ tumors were associated with significantly worse post-operative survival than $p57^{KIP2}$-/p53- or other tumors (P = 0.001, log-rank test). Cox regression analysis showed that $p57^{KIP2}$ was a non-independent prognostic factor for breast cancer (P = 0.303). Conclusions: $p57^{KIP2}$ is expressed at low levels in invasive breast cancer and is associated with better overall survival rate and disease-free survival in breast cancer patients, but it was a non-independent prognostic factor for breast cancer. Thus, the connection between $p57^{KIP2}$/p53 and $p57^{KIP2}$/C-erbB-2 may provide biomarkers for breast cancer.

The Effect of Social Network on Information Sharing in Franchise System (프랜차이즈시스템의 사회연결망 특성이 정보공유에 미치는 영향)

  • Yun, Han-Sung;Bae, Sang-Wook;Noh, Jung-Koo
    • Journal of Distribution Research
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    • v.16 no.2
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    • pp.95-118
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    • 2011
  • The purpose of this study is as follows. First, we investigate empirically the effects of social network properties such as social network density and centrality of a franchisee on its information sharing with various subjects such as the franchisor and other franchisees in the franchise system. Second, we examine exploratively if tie strength between a franchisee and its franchisor plays a moderating role on the relationship between social network properties and information sharing. The study model was established as shown in

    . We gathered 200 data from franchisees in Busan through a questionnaire survey and used 189 data for our purpose. To improve the quality of data, we selected respondents from the franchisees' owners or managers that had contacted often with their franchisor and other franchisees in the franchise system. Our data analysis began with reliability analysis, exploratory and confirmatory factor analysis, on the multi-item measures of social network density, social network centrality, tie strength, information sharing and control variables such as shared goals and ownership to assess the reliability and validity of those measures. The results were shown that the presented values satisfied the general criteria for reliability and validity. We tested our hypotheses using a hierarchical multiple regression analysis in four steps. Model 1 regressed the dependent variable(information sharing) only on control variables(shared goals, ownership). Model 2 added main effect variables(social network density, social network centrality) in Model 1. Model 3 added a moderating variable(tie strength) in Model 2. Finally, Model 4 added interaction terms between the main variables and the moderating variable in Model 3. We used a mean-centering method for the main variables and the moderating variable to minimize the multicollinearity problem due to the interaction terms in Model 4. Two important empirical findings emerge from this study. In other words, the effects of social network properties and tie strength on a franchisee's information sharing depend on subject types such as the franchisor and other franchisees in franchise system. First, social network centrality, tie strength, the interaction between social network density and tie strength and the interaction between social network centrality and tie strength all affect significantly a franchisee's information sharing with its franchisor. By the way, the interaction between social network centrality and tie strength has a negative effect on its information sharing while the interaction of social network density and tie strength has a positive effect on its information sharing. Second, both social network centrality affects significantly and directly a franchisee's information sharing with other franchisees in the franchise system. However, there does not exist the moderating role of tie strength in the second case. Finally, we suggest the implications of our findings and some avenues for future research.

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Clinical feature of neonatal pneumothorax induced by respiratory distress syndrome and pneumonia (호흡곤란증후군과 폐렴에 의한 신생아 기흉의 임상적 특성)

  • Jung, Ji-Sun;Park, Sang-Woo;Kim, Chun-Soo;Lee, Sang-Lak;Kwon, Tae-Chan
    • Clinical and Experimental Pediatrics
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    • v.52 no.3
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    • pp.310-314
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    • 2009
  • Purpose : Pneumothorax is an important factor responsible for increased mortality and morbidity in neonates. Here, we compared the clinical findings and prognosis for neonatal pneumothorax induced by respiratory distress syndrome (RDS) and pneumonia. Methods : Between January 2001 and December 2005, 80 patients with neonatal pneumothorax induced by RDS and pneumonia and admitted to the NICU of Dongsan Medical Center, Keimyung University, were enrolled. They were assigned to the RDS group (30 cases) or the pneumonia group (50 cases). Admission records for gestational age, onset day of life, rate of ventilatory care and thoracostomy, and prognosis were retrospectively reviewed and statistically analyzed for both groups. Results : The mean gestation age was significantly shorter in the RDS group (32.3 weeks) than in the pneumonia group (38.1 weeks) (P<0.001), and the mean onset day of life were later in the RDS group (4.6 days) than in the pneumonia group (1.8 days) (P<0.05). Rates of ventilatory care and thoracostomy were higher for the RDS group than for the pneumonia group (100% vs. 44%, and 66.7% vs. 48%, respectively). Total mortality rates and pneumothorax specific mortality rates were higher for the RDS group than for the pneumonia group (46.7% vs. 18%, P<0.01 and 33.3% vs. 16%, P<0.05, respectively). After logistic regression analysis, preterm significantly increased the mortality rate (OR 7.44, 95% CI: 1.99-27.86, P<0.005), but bilateral involvement (OR 1.17, 95% CI: 0.82-1.67, P>0.5) and the RDS group itself (OR 1.70, 95% CI: 0.52-5.54, P>0.3) did not increase mortality rates significantly. Conclusion : Our study suggests that neonatal pneumothorax in the RDS group tends to have a later onset, higher mortality rate, and needs a higher rate of thoracostomy than the pneumonia group. However, after logistic analysis, only preterm significantly and independently increased the mortality rate.

Ototoxicity in children receiving cisplatin chemotherapy (Cisplatin을 포함한 항암치료를 받은 소아에서 이독성)

  • Jang, Hee Jin;Cho, Hyung Rae;Lee, Jae Hee;Bae, Kun Yuk;Seo, Jong Jin;Moon, Hyung Nam;Im, Ho Joon
    • Clinical and Experimental Pediatrics
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    • v.53 no.2
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    • pp.210-214
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    • 2010
  • Purpose : Cisplatin is highly effective for the treatment of solid tumors in children. However, the clinical use of cisplatin is limited by its ototoxicity. The aim of this study was to evaluate the ototoxicity in children treated with cisplatin. Method : We performed a single institution retrospective analysis of pediatric oncology patients who received cisplatin therapy between January 2001 and January 2008. Thirty-seven patients with sufficient medical and audiologic data were included in this study. Results : The median age at the time of diagnosis was 10.7 (range 3.8-6.7) years. There were 16 males and 21 females. The underlying diseases were osteosarcoma (15 cases), medulloblastoma (14 cases), germ cell tumors (7 cases), and hepatoblastoma (1 case). The median individual dose was $100mg/m^2$/cycle (56-200). The median cumulative dose was $480mg/m^2$ (200-1,490). Sixteen patients (43%) received cranial radiotherapy. Of the 37 patients, 17 developed hearing loss, leading to an overall incidence of 46%. Logistic regression showed that age at treatment (P =0.04) and cumulative dose of cisplatin (P =0.005) were the significant risk factors in predicting hearing loss in children treated with cisplatin. In all the patients who had hearing loss, there was neither improvement nor aggravation during the follow-up (3-8 months). Conclusion : The cumulative dose of cisplatin (>$500mg/m^2$) and younger age at treatment (<12 years) were 2 most important risk factors for ototoxicity in patients treated with cisplatin. Serial audiometric evaluations are needed in the patients with risk factors during and after cisplatin treatment.

A Study on the Effect of Cold Application Using a Sponge Bath in Healthy Adults (냉요법 적용방법에 따른 냉요법 효과에 관한 연구-건강한 성인 여성에서 스폰지 목욕방법을 중심으로)

  • Chung, Hyun-Sook;Kang, Kyu-Sook;Hwang, Ae-Ran
    • The Korean Nurse
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    • v.28 no.3
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    • pp.68-82
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    • 1989
  • This study was a quasi-experimental research study to test the characteristics of temperature regulation according to sponge bath methods of cold application. Thirteen volunteers were selected from among nursing college students according to an established criteria using a purposive sampling technique. Four different cold application methods were used: $\circled1$ tepid water sponge bath at $28^{\circ}C$, $\circled2$ 20% alcohol sponge bath at $28^{\circ}C$, $\circled3$ 40% alcohol sponge bath at $28^{\circ}C$ and $\circled4$ tepid water sponge bath at 28$^{\circ}$C plus an ice bag to the head. Changes in rectal temperature, mean skin temperature, mean body temperature, heat content change and thermal discomfort during the cold application were measured at 5 minute intervals over a 120 minute period. The data collection period was from Dec. 20, 1988 to Feb. 3, 1989. The data were analyzed using descriptive statistics, simple regression, ANOVA, Duncan's multiple range test and Pearson correlation coefficient using the SPSS-X Program. The results of the study are summarized as follows. Five general hypothesis were tested. Hypothesis 1 that "Change in heat content will be decreased for each cold application method according to the cold application time" was rejected. (tepid water sponge bath: after 10 minutes of cold application, 20% alcohol sponge bath: after 25 minutes of cold application: 40% alcohol sponge bath: after 45 minutes of cold application, tepid water sponge bath plus an ice bag to the head: after 80 minutes of cold application) Hypothesis 2 that "Thermal discomfort will be changed for each cold application method according to the cold application time" was rejected after 5minutes of cold application. Hypothesis 3 that "Change in heat content will differ among the cold application methods" was accepted except 0~5, 0~10, 0~65, 0~105 and 0~120 minute. This difference showed significance only between sponge bath methods and tepid water sponge bath plus an ice bag to the head. Hypothesis 4 that "Thermal discomfort will differ among the cold application methods" was accepted at 15, 20, 35, 45, 75, 80, 90, 95, 100, 105, 110, 115 and 120 minute of cold application time. This difference showed significance only between sponge bath methods and tepid water sponge bath plus an ice bag to the head. Hypothesis 5 that "The higher the change in heat content, the higher the thermal discomfort during the cold application time" was accepted for between 10~60 and 75 minute of cold application. In conclusion, this study showed that in sponge bath at $28^{\circ}C$, 10~80 minute was a effective cold application time in the view of heat loss through the skin. Concerning the effects of evaporation and thermal discomfort, it was found that there was no difference with regard to the solutions; tepid water sponge bath; 20% alcohol sponge bath or 40% alcohol sponge bath at a $28^{\circ}C$ controlled solution temperature. So it was thought that the type of solution itself did not have a big influence on the heat loss through skin. The combined effect of sponge bath with an ice bag to the head showed a significant difference and also showed a slight increase in thermal discomfort. On the basis of this research it can be concluded that cold application, for example, an ice bag to the head during a tepid water sponge bath is a good method as it increase heat loss through conduction, although fit can also cause a slight increase in thermal discomfort. The correlation between changes in heat content and thermal discomfort were not high. So factors other than change in heat content are considered to have an effect on the cognition of thermal discomfort.

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Relationship among Body Composition, Biochemical Measurements and Serum Leptin Level in Obese Children (비만아의 체성분 및 생화학적 측정치와 혈중 Leptin 농도와의 관계)

  • 최봉순;손수진;이희자;박명희;이은주
    • Journal of Nutrition and Health
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    • v.35 no.4
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    • pp.454-463
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    • 2002
  • The purpose of this study was to investigate the relationship among the anthropometric measurements, body composition indices, biochemical indices and serum leptin level of obese school children. The study was conducted on 97 elementary school children from 4-5th grade residing in Daegu and Kyungbuk area. Obesity was defined as fat percentage that exceed 25% of body fat mass. The prevalence of obesity of subject was 58.3% for male and 54.1% for female. The mean value of height, weight, body composition indices and biochemical indices of obese group were significantly higher than those of control group. The leptin level was significantly different in obese group but showed no difference by gender. The differences of leptin level were according to adiposity and BMI in obese subjects. Multiple regression analysis data showed that the BMI and body fat mass may influence on the leptin level of subject. Also, these data revealed the leptin resistance in obese children and relationship between leptin level and various factors including anthropometric measurements, body composition and biochemical indices. Additional research should be necessary to assess the mechanism of leptin resistance in obese children.