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이가영 대한비만학회 2022 Journal of obesity & metabolic syndrome Vol.31 No.4
Background: This study aimed to determine the associations between self-perceived weight, weight perception, and mortality risk among Korean adults. Methods: Data from the 2007 to 2015 Korea National Health and Nutrition Examination Survey and the 2007 to 2019 Cause of Death Statistics were linked for this cohort study. A complex samples Cox regression analysis involving 42,453 participants (17,056 male; 25,397 female) was performed after excluding those who died within 1 year of the follow-up period, those with a history of cancer, those with cardiovascular diseases, those without body mass index (BMI) data, and those without self-perceived weight data. Results: During 7.85 years of follow-up, the overall mortality rate was 3.8% (4.5% for male and 3.1% for female). Self-perceived thin weight status was associated with a 43% to 68% higher risk of all-cause mortality and a 2.48-times higher risk of cardiovascular mortality compared to self-perceived just right weight status after controlling for sociodemographic characteristics, health-related behaviors, underlying health status, BMI, and metabolic syndrome. After adjusting for the confounding factors, those who underestimated their weight had a 27% reduced risk of all-cause mortality than those who correctly estimated their weight. The risks of all-cause mortality and cardiovascular mortality were 2.14-times higher and 2.32-times higher, respectively, in the underweight group with an accurate weight estimation than in the normal weight group with an accurate weight estimation. However, all-cause mortality was 47% lower among participants with obesity who overestimated their weight. Conclusion: Self-perceived thinness and accurately perceived underweight status were associated with increased risks of all-cause mortality and cardiovascular mortality among Korean adults.
임피던스 바이오센서를 이용한 NIH 3T3 세포의 성장 및 약물 반응 모니터링
이가영,정재훈,장문규,신수용,전성호 한국물리학회 2020 새물리 Vol.70 No.11
An impedance biosensor to monitor cell growth and cell-drug reactions in real time was manufactured on slide glass by using a semiconductor process. The impedance pattern was deposited by using 80-nm-thick platinum for biocompatibility and a sputtering system. After the formation of a Pt electrode, a PDMS well was attached for the cell culture. After sterilization and coating the inside of the well with Poly-L-lysine, NIH 3T3 cells (– 10K cells/well) were added to the wells and cultured for 43 hours. Impedance signals with the variations of frequency from 500 Hz to 150 KHz were continuously monitored for each 10 minutes during 43 hours. The capacitance showed a gradual increase with increasing number of NIH 3T3 cells. After a 43-hour growth, 10 g/mL puromycin (Gibco, A11138-03) was injected for the monitoring the cell-drug reaction. After the injection of puromycin, the capacitance was almost fixed for about 10 hours. After 10 hours, the capacitance rapidly decreased within the next 10 hours. In this study, we could monitor the state of cells and the cell-drug reactions by using a impedance biosensor chip developed using the electrical cell-substrate impedance sensing (ECIS) technique. The developed impedance biosensor could be applied in the wide area of bio-medicine, for example, non-destructive real-time cell growth and cell-drug reaction monitoring. 세포 성장 및 세포 약물 반응을 실시간 모니터링을 하기 위해 반도체 공정을 이용하여 임피던스 바이오센서를 제작하였다. 임피던스 전극 패턴은 생체적합성을 위해 증착 시스템을 이용하여 백금 (Pt) 80 nm 를 증착하였으며 [1], Pt 전극 형성 이후, 세포 배양에 용이한 PDMS(Polydimethylsiloxane) 웰을부착하였다. Poly-L-lysine으로 웰 내 멸균 및 코팅을 진행한 다음, 웰 내 NIH 3T3 세포를 첨가하여 43 시간 동안 배양하였다. 임피던스 신호는 500 Hz – 150 kHz 사이에 주어진 주파수의 변화로 43 시간동안 매 10 분 간격을 두고 지속적으로 모니터링 하였으며, 커패시턴스 값은 NIH 3T3 세포의 수가증가함에 따라 점진적으로 증가하는 것을 확인할 수 있었다. 43 시간 동안의 성장 이후, 10 g/mL 퓨로마이신 (Puromycin, Gibco. A11138-03) 을 주입하여 세포 약물 반응 모니터링을 진행한 결과, 퓨로마이신을 주입한 시점에서 커패시턴스는 10 시간 동안 거의 일정하게 유지되었고 이후 10시간 내에급격히 감소하는 것을 확인하였다. 본 연구에서는 임피던스 바이오센서 소자를 제작하고 전기적 셀- 기판 임피던스 분석법(Electric Cell-substrate Impedance Sensing, ECIS)을 이용하여 세포의 상태와세포 약물 반응을 실시간 모니터링 할 수 있었다. 제조된 임피던스 바이오센서는 광범위한 생물학적, 의료학적 영역에서 비파괴 실시간 세포 증가/세포 약물 반응 모니터링 등 다양한 분야에 적용할 수 있다.
바흐의 리토르넬로와 칸타타 208번 - 바이마르를 넘어서
이가영 연세대학교 음악연구소 2019 음악이론포럼 Vol.26 No.1
This article examines BWV 208, the secular cantata performed at the Birthday of Duke Christian of Saxe-Weißenfels on the 23rd of February, 1713. Through the analysis of two arias taken from BWV 208, namely, the bass and soprano arias, I will explore to the extent that the ritornello procedure that Bach employs for the two movements reflects or deviates from the procedure originally designed by Vivaldi. After illustrating that Bach already utilizes the ritornello procedure in these movements even before he was exposed to the Vivaldian concertos, I will argue that the traditional narrative that read Bach’s Weimar arias as a manifestation of Bach’s study of Vivaldian works need to be reconsidered.
코로나바이러스감염증-19가 치과의료기관의 경제적 손실에 미친 영향 요인 : 다수준 분석의 적용
이가영,전지은,Lee, Ga-yeong,Jeon, Ji-eun 대한치과의사협회 2020 대한치과의사협회지 Vol.58 No.10
This study was conducted to identify the subjective damage caused by COVID-19 and its related factors. The study subjects were members of the Korean Dental Association (KDA). We investigated the damage to dental clinics and hospitals caused by COVID-19 between January and April 2020. After analyzing the final 3,189 responses, the rate of decrease in patients was the highest at 34.9% in March, and the rate of decrease in income was the highest at 34.0% in April. As a result of the multilevel analysis, the damage caused by COVID-19 was greater in regions with more confirmed patients, more careers, and fewer dental staff. The government should establish a compensation plan for hospitals and clinics to prevent the collapse of the medical system due to the prolonged COVID-19. In addition, support for dentistry should be provided to maintain the oral health care system in the future.
이가영,김정훈,김주한,김기웅,성준경 대한의료정보학회 2014 Healthcare Informatics Research Vol.20 No.1
Objectives: Mobile healthcare applications are becoming a growing trend. Also, the prevalence of dementia in modern society is showing a steady growing trend. Among degenerative brain diseases that cause dementia, Alzheimer disease (AD) is the most common. The purpose of this study was to identify AD patients using magnetic resonance imaging in the mobile environment. Methods: We propose an incremental classification for mobile healthcare systems. Our classification method is based on incremental learning for AD diagnosis and AD prediction using the cortical thickness data and hippocampus shape. We constructed a classifier based on principal component analysis and linear discriminant analysis. We performed initial learning and mobile subject classification. Initial learning is the group learning part in our server. Our smartphone agent implements the mobile classification and shows various results. Results: With use of cortical thickness data analysis alone, the discrimination accuracy was 87.33% (sensitivity 96.49% and specificity 64.33%). When cortical thickness data and hippocampal shape were analyzed together, the achieved accuracy was 87.52% (sensitivity 96.79% and specificity 63.24%). Conclusions: In this paper, we presented a classification method based on online learning for AD diagnosis by employing both cortical thickness data and hippocampal shape analysis data. Our method was implemented on smartphone devices and discriminated AD patients for normal group.