• 산업융합연구
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• 제21권10호
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• pp.121-129
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• 2023

본 연구는 간호대학생을 대상으로 대인관계능력이 대학생활적응에 미치는 영향에서 정서지능과 자기효능의 병렬다중매개효과를 확인하고자 실시하였다. 연구대상자는 일개 대학 간호대학생 130명으로 선정하였다. 자료는 2023년 7월 24일 부터 8월 1일까지 수집되었으며, SPSS/WIN 27.0 프로그램을 활용하여, Descriptive statistics, Pearson's correlation, PROCESS macro model 4로 분석하였다. 연구 결과, 대인관계능력은 정서지능, 대학생활적응, 자기효능과 양의 상관관계가 있었다. 대인관계능력은 대학생활적응에 총효과(B=0.48, p<.001)가 유의하였고, 정서지능(B=0.20, 95% bootstrap CI=0.06~0.36)과 자기효능(B=0.17, 95% bootstrap CI=0.05~0.31)의 매개효과는 유의하였다. 그러므로 간호대학생의 대학생활적응 증진을 돕는 프로그램 개발에 정서지능과 자기효능을 함께 증진할 수 있는 다양한 훈련 프로그램의 개발 및 연구가 필요할 것이다.

• Journal of Trauma and Injury
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• 제37권2호
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• pp.124-131
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• 2024

Purpose: The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods: A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results: Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33-3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09-1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09-1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.04-1.22], P=0.003). Conclusions: This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.

• 한국치위생학회지
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• 제23권6호
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• pp.475-483
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• 2023

Objectives: This study aimed to determine whether adolescents with allergic rhinitis are at an increased risk of stomatitis and to ascertain possible sex-specific differences. Methods: The data for this cross-sectional study was obtained from the 18th Korea Youth Risk Behavior Web-based Survey (2022). Of the 56,213 students surveyed, 51,850 (boys 26,397 and girls 25,453) were included in the final analyses. Multivariate logistic regression was performed to identify the impact of allergic rhinitis on the risk of stomatitis among Korean adolescents. Results: In Model II, which was adjusted for allergic disease, boys with allergic rhinitis had a 1.53-fold (adjusted odds ratio [aOR]=1.53, 95% confidence interval [CI]=1.40-1.67), and girls had a 1.35-fold (aOR=1.35, CI=1.25-1.46) elevated risk of stomatitis than in those without. In Model III, after adjusting for all covariates, boys with allergic rhinitis had a 1.48-fold (aOR=1.48, CI=1.36-1.62) elevated risk of stomatitis than in those without, and girls had a 1.32-fold (aOR=1.32, CI=1.22-1.43) elevated risk, which remained statistically significant after adjusting for covariates. Therefore, allergic rhinitis in adolescents exerts a detrimental effect on the risk of experiencing stomatitis symptoms; the risk was higher in boys than in girls. Conclusions: These findings suggest that oral health care attention and intervention are needed for adolescents with allergic rhinitis.

• Asian Pacific Journal of Cancer Prevention
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• 제15권8호
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• pp.3403-3410
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• 2014

Context: Interest exits in whether TNF-alpha antagonists increase the risk of breast cancer and total malignancies in patients with rheumatoid arthritis (RA). Objectives: To analyze the risk of malignancies, especially breast cancer, in patients with RA enrolled in randomized control trials (RCTs). Methods: A systematic literature search for RCTs from 1 January 1998 to 1 July 2013 from online databases, such as PubMed, WILEY, EMBASE, ISI web of knowledge and Cochrane Library was conducted. Studies included RCTs that compared the safety of at least one dose of the five TNF-${\alpha}$ antagonists with placebo or methotrexate (MTX) (or TNF-${\alpha}$ antagonists plus MTX vs placebo plus MTX) in RA patients for more than 24 weeks and imported all the references into document management software EndNote${\times}6$. Two independent reviewers selected studies and extracted the data about study design, patients' characteristics and the type, number of all malignancies. Results: 28 RCTs from 34 records with 11,741 patients were analyzed. Of the total, 97 developed at least one malignancy during the double-blind trials, and breast cancer was observed in 17 patients (17.5% of total malignancies). However, there was no statistically significant increased risk observed in either the per protocol (PP) model (OR 0.65, 95%CI [0.22, 1.93]) or the modified intention to treat (mITT) model (OR 0.75, 95%CI [0.25, 2.21]). There were also no significant trend for increased risk of total malignancies on anti-TNF-${\alpha}$ therapy administered at approved doses in either model (OR, 1.06, 95%CI [0.64, 1.75], and OR, 1.30, 95%CI [0.80, 2.14], respectively). As to the two models, modified intention to treat model analysis led to higher estimation than per protocol model analysis. Conclusions: This study did not find a significantly increased risk of breast cancer and total malignancies in adults RA patients treated with TNF-${\alpha}$ antagonists at approved doses. However, it cannot be ignored that more patients developed malignancies with TNF-${\alpha}$ antagonists therapy compared with patients with placebo or MTX, in spite of the lack of statistical significance, so that more strict clinical trials and long-term follow-up are needed, and both mITT and PP analyses should be used in such safety analyses.

• 한국과학교육학회지
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• 제34권6호
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• pp.523-534
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• 2014

본 연구에서는 과학관련 사회 윤리적 쟁점(SSI)과 집단지성과의 연관성을 고려하여, 집단지성 촉진 전략을 활용한 SSI 수업모형(CI기반 SSI 수업모형)을 현장 과학교사들과 협력적으로 개발하였다. 그리고, 수업모형 개발과정에서 참여 교사들이 SSI 수업에서 집단지성의 효과에 대해 어떻게 인식하는지를 살펴보고자 하였다. 본 연구에서 개발된 CI기반 SSI 수업모형은 SSI 수업에서 교사들이 추구하는 목적에 따라 크게 3개의 유형(발산적 모형, 탐색적 모형, 의사결정 모형)으로 나뉘며, 각 유형 당 2개씩 총 6개가 개발되었다. 첫째, 발산적 모형은 학생들이 주어진 SSI에 대한 의견이나 해결방안을 다양하게 발산해 보도록 하는데 초점을 둔 수업모형으로, 아이디어 생성 수업모형과 미래 상황 예측 수업모형이 해당된다. 둘째, 탐색적 모형은 문제를 둘러싸고 있는 다양한 입장들에 대해 탐색하여 SSI의 복잡성을 이해하는 데 초점을 둔 수업모형으로, 쟁점 탐색 수업모형과 실제 사례 탐색수업모형이 이 유형에 속한다. 셋째, 의사결정 모형은 주어진 SSI에 대해 다양한 입장을 이해하고 가장 합리적으로 집단의 의사결정을 하도록 의견을 수렴하고 조정하는데 초점을 둔 수업모형으로, 집단적 합의 수업모형과 대안 결정 수업모형이 해당된다. 참여교사들은 각 수업모형을 적용해본 결과 SSI 수업에서 집단지성의 원리를 강조한 것이 학생들의 참여도와 협력, 토론과 근거의 질을 높이는 데 기여했다고 보았다. 이를 위해서는 SSI 수업 도입 부분에서 문제해결을 위해 공유된 가치를 형성하는 과정, 개별적으로 자료를 수집할 수 있는 시간을 충분히 갖고 난 후 공유하는 과정, 개인적으로 자료를 수집하여 정리하고 공유할 수 있는 공간의 마련이 중요하다고 응답하였다.

• 대한환경공학회지
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• 제33권1호
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• pp.60-70
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• 2011

본고에서는 현재 시행중인 해양오염퇴적물질 관리용 유해화학물질 정화지수($CI_{HC}$)를 대상으로, $CI_{HC}$은 동일하나 유해 물질별 함량이 다른 해저퇴적물들이 같은 생물위험을 보이는가를 판단하려 하였다. 이를 위해 5개의 가상 오염퇴적물을 설정하고, 퇴적물 위험평가를 위한 트로픽트레이스 모형($TrophicTrace^{(R)}$ model)을 이용하여, 이 가상 퇴적물이 쥐노래미(Hexagrammos otakii)에 대해 미치는 생물위험을 최대무작용량에 기반한 독성지수(NOAEL TQ)와 최소작용량에 기반한 독성지수(LOAEL TQ)로 평가하였다. 쥐노래미에 대한 NOAEL TQ의 합계는 5개 가상 오염퇴적물에서 0.69~1.54의 범위였고, LOAEL TQ의 합계는 0.111~0.261로 약 2배 이상의 차이가 났다. 이는 퇴적물 유해물질 환경기준이 해양저서무척추동물군집에 대한 영향만을 고려하고 사람으로 연결되는 식용의 쥐노래미에 대한 영향을 반영하지 않기 때문으로 사료된다. 인체에 대한 비발암위험지수(HI) 값은 PCB의 경우 9.8~47.1로 매우 위험한 것으로 나타났다. PCB의 발암위험도는 5개 퇴적물에서 $39{\sim}190{\times}10^{-5}$으로 높게 나타났으며 As의 경우에도 $8.1{\sim}18.0{\times}10^{-5}$으로 높게 나타났다. 유해화학물질정화지수가 8로 동일한 5개 가상 오염퇴적물에서 비발암위험지수(HI) 및 발암위험도가 서로 매우 다르게 나타난 것은 각 오염물질별로 인체에 악영향을 미치는 정도가 다르기 때문이다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.1769-1772
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• 2013

A case-control study of the association of miR-499A>G rs3746444 with risk of hepatocellular carcinoma (HCC)was conducted. Patients with HCC and healthy control subjects were recruited for genotyping of miR-499A>G using duplex polymerase-chain-reaction with confronting-two-pair primer(PCR-RFLP) analysis. The MiR-499 GG genotype was associated with a decreased risk of HCC as compared with the miR-499 AA genotype (adjusted OR=0.74, 95%CI=0.24-0.96). Similarly, the GG genotype showed a 0.45-fold decreased HCC risk in a recessive model. The MiR-499 G allele was significantly associated with decreased risk of HCC among patients infected with HBV in a dominant model (OR=0.09, 95%CI= 0.02-0.29). In conclusion, the MiR-499A>G rs3746444 polymorphism is associated with HCC risk in the Chinese population, and may be useful predictive marker for CAD susceptibility.

• Asian Pacific Journal of Cancer Prevention
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• 제15권11호
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• pp.4417-4422
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• 2014

ERCC2 is an essential component of the nucleotide excision repair pathway which is involved in the effective maintenance of genome integrity. Association studies on ERCC2 polymorphisms and glioma risk have yielded inconclusive results. This meta-analysis was performed to gain a better insight into the relationship between ERCC2 polymorphisms and glioma risk. A systematic literature search updated to December 2, 2013 was performed in the Pubmed and EMBASE databases. Crude pooled odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were used to estimate the association between ERCC2 polymorphisms and glioma risk under a suitable effect model according to heterogeneity. All analyses were performed using Review Manager 5 (version 5.2) and STATA (version 12.0). The combined results demonstrated rs13181 to be significantly associated with glioma risk (G allele versus T allele: OR=1.15, 95% CI=1.05-1.26, P=0.002; dominant model: OR=1.22, 95% CI=1.07-1.39, P=0.002; recessive model: OR=1.18, 95% CI=0.98-1.41, P=0.070). We also found that rs13181 acts in an allele dose-dependent manner (GG versus TT: OR=1.30, 95% CI=1.07-1.57, P=0.009; TG versus TT: OR=1.20, 95%=CI 1.05-1.37, P=0.009; trend test, P=0.004). However, no evidence was found in analyses for the association between other 3 ERCC2 polymorphisms (rs238406, rs1799793, and rs1052555) and susceptibility to glioma development. Our meta-analysis suggests that rs13181 is significantly associated with glioma risk in an allele dose-dependent manner, whereas, 3 other ERCC2 polymorphisms (rs238406, rs1799793, and rs1052555) may have no influence.

• Korean Journal of Radiology
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• 제23권11호
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• pp.1078-1088
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• 2022

Objective: To develop and validate a model using radiomics features from apparent diffusion coefficient (ADC) map to diagnose local tumor recurrence in head and neck squamous cell carcinoma (HNSCC). Materials and Methods: This retrospective study included 285 patients (mean age ± standard deviation, 62 ± 12 years; 220 male, 77.2%), including 215 for training (n = 161) and internal validation (n = 54) and 70 others for external validation, with newly developed contrast-enhancing lesions at the primary cancer site on the surveillance MRI following definitive treatment of HNSCC between January 2014 and October 2019. Of the 215 and 70 patients, 127 and 34, respectively, had local tumor recurrence. Radiomics models using radiomics scores were created separately for T2-weighted imaging (T2WI), contrast-enhanced T1-weighted imaging (CE-T1WI), and ADC maps using non-zero coefficients from the least absolute shrinkage and selection operator in the training set. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of each radiomics score and known clinical parameter (age, sex, and clinical stage) in the internal and external validation sets. Results: Five radiomics features from T2WI, six from CE-T1WI, and nine from ADC maps were selected and used to develop the respective radiomics models. The area under ROC curve (AUROC) of ADC radiomics score was 0.76 (95% confidence interval [CI], 0.62-0.89) and 0.77 (95% CI, 0.65-0.88) in the internal and external validation sets, respectively. These were significantly higher than the AUROC values of T2WI (0.53 [95% CI, 0.40-0.67], p = 0.006), CE-T1WI (0.53 [95% CI, 0.40-0.67], p = 0.012), and clinical parameters (0.53 [95% CI, 0.39-0.67], p = 0.021) in the external validation set. Conclusion: The radiomics model using ADC maps exhibited higher diagnostic performance than those of the radiomics models using T2WI or CE-T1WI and clinical parameters in the diagnosis of local tumor recurrence in HNSCC following definitive treatment.

• Korean Journal of Radiology
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• 제21권8호
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• pp.1007-1017
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• 2020

Objective: The purpose of our study was to investigate the predictive abilities of clinical and computed tomography (CT) features for outcome prediction in patients with coronavirus disease (COVID-19). Materials and Methods: The clinical and CT data of 238 patients with laboratory-confirmed COVID-19 in our two hospitals were retrospectively analyzed. One hundred sixty-six patients (103 males; age 43.8 ± 12.3 years) were allocated in the training cohort and 72 patients (38 males; age 45.1 ± 15.8 years) from another independent hospital were assigned in the validation cohort. The primary composite endpoint was admission to an intensive care unit, use of mechanical ventilation, or death. Univariate and multivariate Cox proportional hazard analyses were performed to identify independent predictors. A nomogram was constructed based on the combination of clinical and CT features, and its prognostic performance was externally tested in the validation group. The predictive value of the combined model was compared with models built on the clinical and radiological attributes alone. Results: Overall, 35 infected patients (21.1%) in the training cohort and 10 patients (13.9%) in the validation cohort experienced adverse outcomes. Underlying comorbidity (hazard ratio [HR], 3.35; 95% confidence interval [CI], 1.67-6.71; p < 0.001), lymphocyte count (HR, 0.12; 95% CI, 0.04-0.38; p < 0.001) and crazy-paving sign (HR, 2.15; 95% CI, 1.03-4.48; p = 0.042) were the independent factors. The nomogram displayed a concordance index (C-index) of 0.82 (95% CI, 0.76-0.88), and its prognostic value was confirmed in the validation cohort with a C-index of 0.89 (95% CI, 0.82-0.96). The combined model provided the best performance over the clinical or radiological model (p < 0.050). Conclusion: Underlying comorbidity, lymphocyte count and crazy-paving sign were independent predictors of adverse outcomes. The prognostic nomogram based on the combination of clinical and CT features could be a useful tool for predicting adverse outcomes of patients with COVID-19.