48 research outputs found

    Study on the effect of environmental improvement of urban open space on the housing price

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : ν™˜κ²½κ³„νšν•™κ³Ό, 2011.8. μ΅œλ§‰μ€‘.Maste

    Stages of Adoption for Fecal Occult Blood Test and Colonoscopy Tests for Colorectal Cancer Screening in Korea

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    PurposeWhile colorectal cancer (CRC) is common in Asian countries, screening for CRC is not. Moreover, CRC screening behaviors in Asian populations remain largely unknown. The present study aimed to investigate the stages of adopting CRC screening in Korea according to screening modality.Materials and MethodsData were obtained from the 2014 Korean National Cancer Screening Survey, a cross-sectional survey that utilized nationally representative random sampling to investigate cancer screening rates. A total of 2,066 participants aged 50-74 years were included in this study. Chi-square test and multinomial logistic regression were applied to determine stages of adoption for fecal occult blood test (FOBT) and colonoscopy and factors associated with each stage.ResultsOf 1,593 participants included in an analysis of stage of adoption for FOBT, 36% were in action/maintenance stages, while 18%, 40%, and 6% were in precontemplation, contemplation, and relapse/relapse risk stages, respectively. Of 1,371 subjects included in an analysis of stage of adoption for colonoscopy, 48% were in action/maintenance stages, with 21% in precontemplation, 21% in contemplation, and 11% in relapse/relapse risk stages. Multinomial logistic regression highlighted sex, household income, place of residency, family history of cancer, having private cancer insurance, smoking status, alcohol use, and regular exercise as being associated with stages of adoption for FOBT and colonoscopy.ConclusionThis study outlines the distributions of stages of adoption for CRC screening by screening modality. Interventions to improve screening rates should be tailored to individuals in particular stages of adoption for CRC screening by modality.This study was supported by a Grant-in-Aid for Cancer Research and Control from the National Cancer Center of Korea (# 1310232)

    Socioeconomic Inequalities in Colorectal Cancer Screening in Korea, 2005-2015: After the Introduction of the National Cancer Screening Program

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    Purpose: This study aimed to investigate inequalities in colorectal cancer (CRC) screening rates in Korea and trends therein using the slope index of inequality (SII) and relative index of inequality (RII) across income and education groups.Materials and Methods: Data from the Korean National Cancer Screening Survey, an annually conducted, nationwide cross-sectional survey, were utilized. A total of 17174 men and women aged 50 to 74 years were included for analysis. Prior experience with CRC screening was defined as having either a fecal occult blood test within the past year or a lifetime colonoscopy. CRC screening rates and annual percentage changes (APCs) were evaluated. Then, SII and RII were calculated to assess inequality in CRC screening for each survey year.Results: CRC screening rates increased from 23.4% in 2005 to 50.9% in 2015 (APC, 7.8%; 95% CI, 6.0 to 9.6). Upward trends in CRC screening rates were observed for all age, education, and household income groups. Education inequalities were noted in 2009, 2014, and overall pooled estimates in both indices. Income inequalities were inconsistent among survey years, and overall estimates did not reach statistical significance.Conclusion: Education inequalities in CRC screening among men and women aged 50 to 74 years were observed in Korea. No apparent pattern, however, was found for income inequalities. Further studies are needed to thoroughly outline socio-economic inequalities in CRC screening.This study was supported by a Grant-in-Aid for Cancer Research and Control from the National Cancer Center of Korea (#1610401). Three authors, Tran Thi Xuan Mai, Eunji Choi, and Eun Young Lee received funding from the "International Cooperation & Education Program (#NCCRI.NCCI 52210-52211, 2018)" of National Cancer Center, Korea

    Socioeconomic Inequalities in Cervical and Breast Cancer Screening among Women in Korea, 2005-2015

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    Purpose: Consistent evidence indicates that cervical and breast cancer screening rates are low among socioeconomically deprived women. This study aimed to assess trends in cervical and breast cancer screening rates and to analyze socioeconomic inequalities among Korean women from 2005 to 2015.Materials and Methods: Data from the Korean National Cancer Screening Survey, an annual nationwide cross-sectional survey, were utilized. A total of 19910 women were finally included for analysis. Inequalities in education and household income status were estimated by slope index of inequality (SII) and relative index of inequality (RII), along with calculation of annual percent changes (APCs), to show trends in cancer screening rates.Results: Cervical and breast cancer screening rates increased from 54.8% in 2005 to 65.6% in 2015 and from 37.6% in 2005 to 61.2% in 2015, respectively. APCs in breast cancer screening rates were significant among women with higher levels of household income and education status. Inequalities by household income in cervical cancer screening uptake were observed with a pooled SII estimate of 10.6% (95% CI: 8.1 to 13.2) and RII of 1.4 (95% CI: 1.3 to 1.6). Income inequalities in breast cancer screening were shown to gradually increase over time with a pooled SII of 5.9% (95% CI: 2.9 to 9.0) and RII of 1.2 (95% CI: 0.9 to 1.3). Educational inequalities appeared to diminish over the study period for both cervical and breast cancer screening.Conclusion: Our study identified significant inequalities among socioeconomically deprived women in cervical and breast cancer screening in Korea. Especially, income-related inequalities were greater than education-related inequalities, and these were constant from 2005 to 2015 for both cervical and breast cancer screening.This study was supported by a Grant-in-Aid for Cancer Research and Control from the National Cancer Center of Korea (#1610401). Three authors, Eunji Choi, Mai Tran, and Eun Young Lee received funding from the "International Cooperation & Education Program (#NCCRI.NCCI 52210-52211, 2017).&quot

    A Study on the Joint Part of the Lower story and the Upper Story in the Multi-Study Buildings in the Joseon Dynasty

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : 건좕학과, 2016. 2. 전봉희.이 μ—°κ΅¬λŠ” 쀑측λͺ©μ‘°κ±΄μΆ•λ¬Όμ—μ„œ, ν•˜μΈ΅μ˜ μ²˜λ§ˆμ§€λΆ•κ΅¬μ‘°μ™€ 상측평주가 λ§Œλ‚˜λŠ” 뢀뢄에 λŒ€ν•œ 연ꡬ이닀. 쀑측λͺ©μ‘°κ±΄μΆ•μ€ λŒ€ν˜•κ±΄λ¬Όμ„ κ΅¬μ„±ν•˜κΈ° μœ„ν•œ κ±΄μΆ•λ°©μ‹μœΌλ‘œ 단측λͺ©μ‘°κ±΄μΆ•λ¬Όκ³ΌλŠ” λ‹€λ₯Έ ꡬ쑰적, 의μž₯적 νŠΉμ§•μ΄ λ‚˜νƒ€λ‚œλ‹€. κ·Έ νŠΉμ§•μ΄ κ°€μž₯ λ‘λ“œλŸ¬μ§€κ²Œ λ‚˜νƒ€λ‚˜λŠ” 뢀뢄이 λ°”λ‘œ ν•˜μΈ΅μ§€λΆ•κ΅¬μ‘°μ™€ 상측평주가 λ§Œλ‚˜λŠ” 접합뢀이닀. 이 연ꡬλ₯Ό 톡해 μ ‘ν•©λΆ€ κ΅¬μ„±μƒμ˜ μœ ν˜•μ„ λΆ„λ₯˜ν•˜κ³  각각의 μœ ν˜•μ΄ κ°–λŠ” κ΅¬μ‘°Β·κ³΅κ°„Β·μ˜μž₯적 의미λ₯Ό 찾아보렀 ν•˜μ˜€λ‹€. 이λ₯Ό μœ„ν•΄, ν•œλ°˜λ„μ— ν˜„μ‘΄ν•˜λŠ” 40λ™μ˜ 쀑측λͺ©μ‘°κ±΄λ¬Ό κ°€μš΄λ° 치수 자료λ₯Ό ꡬ할 수 μžˆλŠ” 23동λ₯Ό μ—°κ΅¬λŒ€μƒμœΌλ‘œ ν•˜μ˜€λ‹€. κ·Έ μ™Έ λ‚˜λ¨Έμ§€λŠ” κ·Έλ¦Ό 자료 등을 κ΅¬ν•˜μ—¬ μ°Έκ³  ν•˜μ˜€λ‹€. 20세기에 지어진 쀑측λͺ©μ‘°κ±΄λ¬Ό κ°€μš΄λ° μž¬κ±΄μ„ μ œμ™Έν•œ λ³΄μˆ˜Β·λ³΅μ›ν•œ λŒ€μƒμ„ ν¬ν•¨ν•˜μ˜€λ‹€. μƒμΈ΅ν‰μ£Όμ˜ ν•˜μ€‘ 전달방식과 그에 λ”°λ₯Έ ν•˜μΈ΅ μ²˜λ§ˆμ§€λΆ•κ΅¬μ‘°μ˜ ꡬ성방식이 μ ‘ν•©λΆ€ λΆ„λ₯˜κΈ°μ€€μœΌλ‘œ μž‘μš©ν•˜μ˜€λ‹€. μƒν•˜μΈ΅ μ ‘ν•©λΆ€μ˜ ꡬ성 μœ ν˜•μ€ 크게 3κ°€μ§€λ‘œ λ‚˜λˆŒ 수 μžˆμ—ˆκ³  각각의 μ ‘ν•©λΆ€ μœ ν˜•μ„ κ³ μ£Όλ³„λ¦½ν˜•, ν‡΄λŸ‰λ§€κ°œν˜•, ν¬μž‘μ§κ²°ν˜•μœΌλ‘œ λͺ…λͺ…ν•˜μ˜€λ‹€. κ³ μ£Όλ³„λ¦½ν˜•μ€ μƒν•˜μΈ΅ μ§€λΆ•μ˜ ν•˜μ€‘μ΄ 각각 λ…λ¦½μ μœΌλ‘œ μ§€λ°˜μœΌλ‘œ μ „λ‹¬λœλ‹€. μƒμΈ΅μ§€λΆ•μ˜ ν•˜μ€‘μ€ 내진고주가 λ‹΄λ‹Ήν•˜κ³  ν•˜μΈ΅μ§€λΆ•μ˜ ν•˜μ€‘μ€ ν•˜μΈ΅ 평주가 λ‹΄λ‹Ήν•œλ‹€. ν‡΄λŸ‰λ§€κ°œν˜•μ€ 상측지뢕을 μ§€μ§€ν•˜λŠ” 상측평주가 ν•˜μΈ΅ ν‡΄λŸ‰μ˜ 쀑간지점에 μœ„μΉ˜ν•œλ‹€. μƒμΈ΅μ§€λΆ•μ˜ ν•˜μ€‘μ€ ν•˜μΈ΅ν‡΄λŸ‰μ„ 거쳐 ν•˜μΈ΅μ˜ μ™Έλ²½ ν¬μž‘λΆ€μ™€ λͺΈμ²΄λΆ€μ— μ „λ‹¬λ˜μ–΄ μ§€λ°˜μœΌλ‘œ μ „λ‹¬λœλ‹€. ν¬μž‘μ§κ²°ν˜•μ€ 상측평주λ₯Ό ν•˜μΈ΅ ν‡΄λŸ‰μ˜ 상뢀 및 ν•˜μΈ΅ν¬μž‘λΆ€μ˜ μ΅œλ‚΄μΆœλͺ©μ„ κ³Ό λ™μΌν•œ μœ„μΉ˜μ— μ„Έμš΄λ‹€. μƒμΈ΅μ§€λΆ•μ˜ ν•˜μ€‘μ€ μƒμΈ΅μ˜ μ™Έλ²½ λͺΈμ²΄λΆ€λ₯Ό 톡해 ν•˜μΈ΅μ˜ 가ꡬ뢀와 ν¬μž‘λΆ€ 및 λͺΈμ²΄λΆ€μ— λ™μ‹œμ— μ „λ‹¬λ˜μ–΄ μ§€λ°˜μœΌλ‘œ μ „λ‹¬λœλ‹€. μ ‘ν•©λΆ€μ˜ ν•˜μΈ΅μ§€λΆ•κ΅¬μ‘°λŠ” κ³΅ν¬ν˜•μ‹ λ˜λŠ” λ‚΄λͺ©λ„λ¦¬μ˜ μœ λ¬΄μ— 따라 μž¬λΆ„λ₯˜ν•˜μ˜€λ‹€. 이듀 μœ ν˜•μ΄ 적용된 λŒ€μƒκ±΄μΆ•λ¬Όμ„ κ·Έ μš©λ„μ— λ”°λ₯Έ μ‹€λ‚΄κ³΅κ°„μ˜ μ‚¬μš©, ꡬ쑰적인 ν•„μš”μ„± λ“±μœΌλ‘œ κ²€ν† ν•΄ λ³Έ κ²°κ³Ό, μ‹€λ‚΄κ³΅κ°„μ˜ μ‚¬μš©μƒμ˜ ν•„μš”κ°€ ꡬ쑰적인 λͺ©μ λ³΄λ‹€ μš°μ„ μ μœΌλ‘œ κ³ λ €λ˜μ—ˆμŒμ„ μ•Œ 수 μžˆμ—ˆλ‹€. λ˜ν•œ μ ‘ν•©λΆ€λŠ” 쀑측λͺ©μ‘°κ±΄μΆ•λ¬Όμ˜ ꡬ쑰와 외관은 λ¬Όλ‘ , λ‚΄λΆ€κ³΅κ°„μ˜ 의μž₯과도 λ°€μ ‘ν•œ 관련이 μžˆμŒμ„ 확인 ν•  수 μžˆμ—ˆλ‹€. μƒν•˜μΈ΅ μ ‘ν•©λΆ€λŠ” μ‹œκΈ°μ  μ„ ν˜Έκ°€ μžˆμ§€λŠ” μ•Šμ•˜μ§€λ§Œ 각각의 μ ‘ν•©λΆ€λŠ” 건물 λ‚΄λΆ€μ‚¬μš©λ°©μ‹μ˜ μš”κ΅¬μ— 따라 ꡬ쑰와 의μž₯을 λ³΄μ™„ν•˜μ˜€λ‹€. κ΅¬μ‘°μ μœΌλ‘œλŠ” μ•ˆμ •μ μœΌλ‘œ λ³€ν•˜μ˜€κ³  의μž₯μ μœΌλ‘œλŠ” μ„Έλ ¨λ˜μ–΄μ‘Œλ‹€. ꡬ쑰성λŠ₯을 ν–₯μƒμ‹œν‚€κΈ° μœ„ν•΄, ν•˜μΈ΅μ§€λΆ•κ΅¬μ‘°μ˜ 결ꡬ방식을 μ‘°μ ˆν•˜μ˜€μœΌλ©° 의μž₯성을 κΎ€ν•˜κΈ° μœ„ν•΄ μ£Όμš”μž…λ©΄μ„ λ³΄μ™„ν•˜λŠ” λ“± μƒˆλ‘œμš΄ 기법이 λ“±μž₯ν•˜μ˜€λ‹€. 이 연ꡬλ₯Ό 톡해 μ ‘ν•©λΆ€μ˜ 의μž₯·ꡬ쑰·기λŠ₯의 의미λ₯Ό λΆ„λ³„ν•¨μœΌλ‘œμ¨, ν•œκ΅­κ±΄μΆ•μ—μ„œ μ ‘ν•©λΆ€κ°€ 쀑측λͺ©μ‘°κ±΄λ¬Όμ˜ κ³„νš κΈ°μ€€μœΌλ‘œμ„œμ˜ νš¨μš©μ„±μ„ 가지고 μžˆμŒμ„ μ•Œ 수 μžˆμ—ˆλ‹€.1μž₯ μ„œλ‘  1 1.1 μ—°κ΅¬μ˜ λ°°κ²½κ³Ό λͺ©μ  01 1.2 μ—°κ΅¬μ˜ λŒ€μƒ 04 1.3 κΈ°μ‘΄μ—°κ΅¬μ˜ κ²€ν†  06 1.4 μ—°κ΅¬μ˜ 방법 13 2μž₯ 쀑측λͺ©μ‘°κ±΄λ¬Ό 접합뢀에 λŒ€ν•œ μ˜ˆλΉ„κ³ μ°° 15 2.1 쀑측λͺ©μ‘°κ±΄λ¬Ό μ ‘ν•©λΆ€ λ°œμƒμ— λŒ€ν•œ κ³ μ°° 15 2.1.1 μƒν•˜μΈ΅μ‹€λ‚΄ν†΅μΈ΅ν™•λ³΄λ₯Ό μœ„ν•œ μ ‘ν•©λΆ€ λ°œμƒ 17 2.1.2 μƒν•˜μΈ΅ 뢄리λ₯Ό μœ„ν•œ μ ‘ν•©λΆ€ λ°œμƒ 24 2.2 쀑측λͺ©μ‘°κ±΄λ¬Ό μ ‘ν•©λΆ€ ꡬ쑰에 λŒ€ν•œ κ³ μ°° 29 2.2.1 단측λͺ©μ‘°κ±΄λ¬Ό κ΅¬μ„±λ°©μ‹μ˜ 이해 29 2.2.2 μƒν•˜μΈ΅μ ‘ν•©λΆ€ κ΅¬μ„±λ°©μ‹μ˜ 이해 34 3μž₯ μƒν•˜μΈ΅ μ ‘ν•©λΆ€μ˜ μœ ν˜• 별 νŠΉμ„± 39 3.1 μƒν•˜μΈ΅ μ ‘ν•©λΆ€ μœ ν˜• λΆ„λ₯˜κΈ°μ€€ 39 3.1.1 μƒμΈ΅ν‰μ£Όμœ„μΉ˜μ— λ”°λ₯Έ ν•˜μ€‘μ „λ‹¬λ°©μ‹ 40 3.1.2 μƒμΈ΅ν‰μ£Όμœ„μΉ˜μ— λ”°λ₯Έ ν•˜μΈ΅μ§€λΆ•κ΅¬μ‘° 46 3.2 μ ‘ν•©λΆ€ μœ ν˜• 별 곡간 및 ꡬ쑰적 νŠΉμ„± 49 3.2.1 κ³ μ£Όλ³„λ¦½ν˜• 49 3.2.2 ν‡΄λŸ‰λ§€κ°œν˜• 56 3.2.3 ν¬μž‘μ§κ²°ν˜• 63 3.3 μ ‘ν•©λΆ€ μœ ν˜• 별 뢄포적 νŠΉμ„± 68 3.4 μ†Œκ²° 74 4μž₯ μ ‘ν•©λΆ€ μœ ν˜•μ˜ 선택과 쑰절 77 4.1 내뢀곡간ꡬ성과 μ ‘ν•©λΆ€ μœ ν˜•μ˜ 선택 77 4.1.1 상좩퇴칸ꡬ성에 λ”°λ₯Έ μ ‘ν•©λΆ€ μœ ν˜•μ˜ λŒ€μ‘ 78 4.1.2 μ‹€λ‚΄μ²œμž₯곡간ꡬ성과 κΈ°λ²•μ˜ 선택 81 4.1.3 μ‹€λ‚΄μƒν•˜μΈ΅λΆ„λ¦¬μ™€ κΈ°λ²•μ˜ 선택 88 4.2 ꡬ쑰성λŠ₯ν–₯상과 μ ‘ν•©λΆ€ κ²°κ΅¬λ°©μ‹μ˜ 쑰절 91 4.2.1 ν•˜μΈ΅μ§€λΆ•κ΅¬μ‘°μ— λ”°λ₯Έ μ ‘ν•©λΆ€ μœ ν˜•μ˜ λŒ€μ‘ 91 4.2.2 상측퇴칸확보λ₯Ό μœ„ν•œ ꡬ쑰의 보강 94 4.2.3 μ‹€λ‚΄Β·μ™Έμž…λ©΄κ΅¬μ„±μ— μ˜ν•œ ꡬ쑰의 쑰절 101 4.2.4 μƒμΈ΅μš°μ£Όμœ„μΉ˜μ— λ”°λ₯Έ ꡬ쑰의 λ³€ν™” 106 4.3 의μž₯적 고렀와 μ ‘ν•©λΆ€ μž…λ©΄μ˜ 보완 112 4.3.1 μ‹€λ‚΄μž…λ©΄κ΅¬μ„±μ— λ”°λ₯Έ μ ‘ν•©λΆ€ μœ ν˜•μ˜ λŒ€μ‘ 112 4.3.2 ν•˜μΈ΅μ„œκΉŒλž˜ ν•˜λΆ€λ©΄ 처리 κΈ°λ²•μ˜ λ“±μž₯ 114 4.3.3 ν•˜μΈ΅μ„œκΉŒλž˜ λ’€μ΄ˆλ¦¬ 처리 κΈ°λ²•μ˜ λ“±μž₯ 120 4.4 μ†Œκ²° 125 5μž₯ κ²°λ‘  129 μ°Έκ³ λ¬Έν—Œ 135 Abstract 137Maste

    Effect of mammography screening on stage at breast cancer diagnosis: results from the Korea National Cancer Screening Program

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    In Asian countries, breast densities and the proportion of younger women with breast cancer are higher than those in Western countries. This study was designed to determine differences in stage at diagnosis of breast cancer among Korean women according to screening history. The study population was derived from the Korea National Cancer Screening Program (KNCSP). The study cohort comprised 17,689 women who were newly diagnosed with breast cancer in 2011 and were invited to undergo breast cancer screening via the KNCSP between 2002 and 2011. Ductal carcinoma in situ (DCIS) and localized breast cancer were most frequent in both ever-screened and never-screened patients. Late stage cancer was significantly more frequent in never-screened patients, compared with ever-screened patients. Compared to never-screened women, the odds ratio (OR) for being diagnosed with early stage breast cancer among screened women was 1.41 (95% Confidence Interval [CI] = 1.28-1.55). The OR for being diagnosed with early stage breast cancer was highest among patients who underwent screening three times or more (aOR = 1.89, 95% CI = 1.57-2.29). Screening by mammography was associated with diagnosis of early stage breast cancer in Korean women. However, significant increases in the diagnosis of DCIS and localized breast cancers among ever-screened patients suggest the possibility of overdiagnosis due to screening.The authors would like to thank the staff of the National Health Insurance Service. This study was supported by a Grant-in-Aid for Cancer Research and Control from the National Cancer Center of Korea (#1310232 and #1610401)

    Risk reduction of breast cancer by childbirth, breastfeeding, and their interaction in Korean women: Heterogeneous effects across menopausal status, hormone receptor status, and pathological subtypes

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    Objectives: The purpose of this study was to examine the associations of childbirth, breastfeeding, and their interaction with breast cancer (BC) risk reduction, and to evaluate the heterogeneity in the BC risk reduction effects of these factors by menopause, hormone receptor (HR) status, and pathological subtype.Methods: BC patients aged 40+ from the Korean Breast Cancer Registry in 2004-2012 and controls from the Health Examinee cohort participants were included in this study after 1:1 matching (12 889 pairs) by age and enrollment year. BC risk according to childbirth, breastfeeding, and their interaction was calculated in logistic regression models using odds ratios (ORs) and 95% confidence intervals (CIs).Results: BC risk decreased with childbirth (3+ childbirths relative to 1 childbirth: OR, 0.66; 95% CI, 0.56 to 0.78 and OR, 0.80; 95% CI, 0.68 to 0.95 in postmenopausal and premenopausal women, respectively); and the degree of risk reduction by the number of children was heterogeneous according to menopausal status (p-heterogeneity=0.04), HR status (p-heterogeneity<0.001), and pathological subtype (p-heterogeneity<0.001); whereas breastfeeding for 1-12 months showed a heterogeneous association with BC risk according to menopausal status, with risk reduction only in premenopausal women (p-heterogeneity<0.05). The combination of 2 more childbirths and breastfeeding for ≥13 months had a much stronger BC risk reduction of 49% (OR, 0.51; 95% CI, 0.45 to 0.58).Conclusions: This study suggests that the combination of longer breastfeeding and more childbirths reduces BC risk more strongly, and that women who experience both 2 or more childbirths and breastfeed for ≥13 months can reduce their BC risk by about 50%

    ν•œκ΅­ μ—¬μ„±μ—μ„œμ˜ μ‚°λ°œμ„± 및 μœ μ „μ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈ 개발

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    연ꡬ λͺ©μ : ν•œκ΅­μ—μ„œ μœ λ°©μ•” λ°œμƒ 증가 속도λ₯Ό κ³ λ €ν•˜μ˜€μ„ λ•Œ μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„μ— λŒ€ν•œ 선별검사λ₯Ό μ‹œν–‰ν•˜μ—¬ κ³ μœ„ν—˜κ΅°μ„ μ„ μ •ν•˜κ³ , 이듀을 λŒ€μƒμœΌλ‘œ 쑰기에 μœ„ν—˜μΈμž ꡐ정, 진단검사 λ“±μ˜ κ°œμž…μ„ μ‹œν–‰ν•˜μ—¬ μœ λ°©μ•”μ˜ λ°œμƒκ³Ό μœ λ°©μ•”μœΌλ‘œ μΈν•œ 사망을 μ€„μ΄λŠ” 것은 μ€‘μš”ν•˜λ‹€. 이에 λ³Έ μ—°κ΅¬λŠ” ν•œκ΅­ μ—¬μ„±μ—μ„œ μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ„ κ°œλ°œν•˜κ³ μž ν•œλ‹€. 연ꡬ 방법: μ‚°λ°œμ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ€ μœ λ°©μ•” ν™˜μž-λŒ€μ‘°κ΅° μ—°κ΅¬μ˜ μ°Έμ—¬μž 쀑 μ—°λ Ήκ³Ό μž…μ λ…„λ„λ₯Ό λ§€μΉ­ν•œ μ‚¬λžŒμ„ λŒ€μƒμœΌλ‘œ λ‹€λ³€λŸ‰ λ‘œμ§“ νšŒκ·€λΆ„μ„μ„ 톡해 μ£Όμš” μœ„ν—˜μΈμžλ₯Ό μ„ μ •ν•˜κ³ , 2009λ…„ μ‚¬λ§μžλ£Œμ—μ„œμ˜ μœ λ°©μ•” 및 μœ λ°©μ•” 이외 원인에 μ˜ν•œ 연령별 사망확λ₯ , 2008λ…„ μœ λ°©μ•” λ°œμƒλ₯  자료λ₯Ό μ΄μš©ν•˜μ—¬ μ ˆλŒ€μœ„ν—˜λ„λ₯Ό κ·Όμ‚¬μ μœΌλ‘œ μΆ”μ •ν•˜μ˜€λ‹€. 예츑 λͺ¨λΈμ˜ 검정을 μœ„ν•΄ ν•œκ΅­μΈλ‹€κΈ°κ΄€μ•”μ½”ν˜ΈνŠΈ, ꡭ립암센터 κ²€μ§„μžμ½”ν˜ΈνŠΈμ˜ μ—¬μ„± λŒ€μƒμž 쀑 좔적기간 λ™μ•ˆ μœ λ°©μ•”μ΄ λ°œμƒν•œ μ‚¬λžŒ, μœ λ°©μ•” ν•™νšŒ λ“±λ‘μžλ£Œμ˜ μ—¬μ„± ν™˜μžμ™€ ν•œκ΅­μΈ μœ μ „μ²΄ μ—­ν•™μ‘°μ‚¬μ‚¬μ—…μ˜ μ—¬μ„± μ°Έμ—¬μžλ₯Ό λŒ€μƒμœΌλ‘œ ν•˜μ—¬ ν™˜μžκ΅°κ³Ό λŒ€μ‘°κ΅°μ—μ„œμ˜ μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 및 λ°œμƒ κ΄€μ°° μˆ˜μ™€ 예츑 κ΄€μ°° 수λ₯Ό λΉ„κ΅ν•˜μ˜€λ‹€. κ³ μœ„ν—˜κ΅°μ„ μ„ μ •ν•˜λŠ” cut-off 값을 μ •ν•˜κΈ° μœ„ν•΄ λ‹€μ–‘ν•œ cut-off 값에 λ”°λ₯Έ 민감도, νŠΉμ΄λ„, AUC (area under curve)λ₯Ό λΉ„κ΅ν•˜μ˜€λ‹€. λ˜ν•œ μ‚°λ°œμ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ— μœ μ „μžλ₯Ό ν¬ν•¨ν•˜μ—¬ κ·Έ AUC의 증가λ₯Ό ν™•μΈν•˜μ˜€λ‹€. μœ μ „μ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ€ ν•œκ΅­μΈμœ μ „μ„±μœ λ°©μ•” μ—°κ΅¬μ˜ λŒ€μƒμžλ₯Ό μ΄μš©ν•˜μ—¬ Kin-cohort 법과 λˆ„μ μœ„ν—˜λ„ λ°©μ‹μœΌλ‘œ μΉ¨νˆ¬μœ¨μ„ κ³„μ‚°ν•˜μ—¬ λΉ„κ΅ν•˜κ³ , kin-cohortλ²•μ—μ„œ μ‚°μΆœν•œ 침투율과 ν•œκ΅­μΈμ—μ„œ BRCAμœ μ „μž λŒμ—°λ³€μ΄μ˜ μœ λ³‘λ₯ μ„ BRCAPRO λͺ¨λΈμ— λŒ€μž…ν•˜μ—¬ κ΅¬μΆ•ν•˜μ˜€λ‹€. μ•” λ°œμƒ μƒνƒœμ— λ”°λ₯Έ κ΄€μ°° λ°œμƒ μˆ˜μ™€ 예츑 λ°œμƒ 수λ₯Ό λΉ„κ΅ν•˜μ˜€λ‹€. 연ꡬ κ²°κ³Ό: μ‚°λ°œμ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ— μ„ μ •λœ μœ„ν—˜μΈμžλŠ” κ°€μ‘±λ ₯, μ΄ˆκ²½μ—°λ Ή, 첫 μΆœμ‚° μ—°λ Ή, μžλ…€ 수, 정기적인 μš΄λ™, 폐경 μ—¬λΆ€ 및 폐경 μ—°λ Ή, μ²΄μ§ˆλŸ‰μ§€μˆ˜ μ˜€λ‹€. μ΄λ“€μ˜ μ‘°ν•©μœΌλ‘œ κ΅¬μΆ•ν•œ λͺ¨λΈμ˜ AUCλŠ” 50μ„Έ λ―Έλ§Œμ—μ„œ 0.59, 50μ„Έ μ΄μƒμ—μ„œ 0.64μ˜€λ‹€. 이λ₯Ό ν•œκ΅­μΈλ‹€κΈ°κ΄€μ•”μ½”ν˜ΈνŠΈμ™€ ꡭ립암센터 κ²€μ§„μžμ½”ν˜ΈνŠΈμ˜ μ—¬μ„± λŒ€μƒμžμ—κ²Œ μ μš©ν•˜μ˜€μ„ λ•Œ ν™˜μžκ΅°μ—μ„œμ˜ μœ„ν—˜λ„κ°€ λŒ€μ‘°κ΅°μ— λΉ„ν•΄ μœ μ˜ν•˜κ²Œ λ†’μ•˜κ³  좔적기간에 λ”°λ₯Έ κ΄€μ°° λ°œμƒ μˆ˜μ™€ 예츑 λ°œμƒ μˆ˜μ—μ„œ μœ μ˜ν•œ 차이가 μ—†μ—ˆλ‹€. μœ λ°©μ•” ν•™νšŒ λ“±λ‘μžλ£Œμ˜ μ—¬μ„± ν™˜μžμ™€ ν•œκ΅­μΈ μœ μ „μ²΄ μ—­ν•™μ‘°μ‚¬μ‚¬μ—…μ˜ μ—¬μ„± μ°Έμ—¬μžμ˜ μœ„ν—˜λ„λ₯Ό λΉ„κ΅ν•˜μ˜€μ„ λ•Œ 두 κ΅°μ—μ„œ μœ μ˜ν•œ 차이가 κ΄€μ°°λ˜μ—ˆλ‹€. μ‚°λ°œμ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ— 8개 μœ μ „μžλ₯Ό μΆ”κ°€ν•˜μ˜€μ„ λ•Œ μ˜ˆμΈ‘νƒ€λ‹Ήλ„ 값은 50μ„Έ λ―Έλ§Œμ—μ„œ 0.65, 50μ„Έ μ΄μƒμ—μ„œ 0.67둜 μ¦κ°€ν•˜μ˜€μœΌλ‚˜ 증가 μ •λ„λŠ” 3~6%둜 크지 μ•Šμ•˜λ‹€. ν•œκ΅­μΈμ—μ„œ BRCA1 μœ μ „μž λŒμ—°λ³€μ΄μ˜ 80μ„ΈκΉŒμ§€ μœ λ°©μ•” μΉ¨νˆ¬μœ¨μ€ Kin-cohortλ²•μœΌλ‘œ κ΅¬ν–ˆμ„ λ•Œ44.9%, λˆ„μ μœ„ν—˜λ„λ²•μœΌλ‘œ κ΅¬ν–ˆμ„ λ•Œ 42.1%μ˜€κ³ , BRCA2μœ μ „μž λŒμ—°λ³€μ΄μ˜ 80μ„ΈκΉŒμ§€ μœ λ°©μ•” μΉ¨νˆ¬μœ¨μ€ kin-cohortλ²•μœΌλ‘œ κ΅¬ν–ˆμ„ λ•Œ26.7%, λˆ„μ μœ„ν—˜λ„λ²•μœΌλ‘œ κ΅¬ν–ˆμ„ λ•Œ 26.3%μ˜€λ‹€. 이λ₯Ό μ΄μš©ν•˜μ—¬ μœ μ „μ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ„ κ΅¬μΆ•ν•˜μ˜€μ„ λ•Œ, μœ λ°©μ•” ν™˜μžμ™€ 암이 λ°œμƒν•˜μ§€ μ•Šμ€ μ‚¬λžŒμ—μ„œBRCA1/2 μœ μ „μž λŒμ—°λ³€μ΄ 보인자 ν™•λ₯ μ˜ κ΄€μ°°κ°’κ³Ό μ˜ˆμΈ‘κ°’μ€ μœ μ‚¬ν•˜μ˜€μœΌλ‚˜, μ–‘μΈ‘μ„± μœ λ°©μ•” ν™˜μžμ—μ„œλŠ” BRCA1/2 μœ μ „μž λŒμ—°λ³€μ΄ 보인자 ν™•λ₯ μ„ κ³ΌλŒ€μΆ”μ •ν•˜κ³  μžˆμ—ˆλ‹€. κ²°λ‘ : λ³Έ μ—°κ΅¬μ—μ„œ 개발된 μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ€ ν•œκ΅­ μ—¬μ„±μ—μ„œ ν–₯ν›„ μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„, BRCA1/2 λŒμ—°λ³€μ΄ 보인자 ν™•λ₯ μ„ μ˜ˆμΈ‘ν•˜κ³ , 이에 따라 μ‘°κΈ° 검진 및 예방적 μ‹œλ„λ₯Ό μˆ˜ν–‰ν•  수 μžˆλŠ” μ€‘μš”ν•œ 도ꡬ이닀. κ·ΈλŸ¬λ‚˜ κ³ μœ„ν—˜κ΅°μ„ μ„ μ •ν•˜μ—¬ 이듀에 λŒ€ν•œ μ€‘μž¬λ₯Ό μ‹œλ„ν•˜κΈ° μœ„ν•œ cut-off 값을 κ²°μ •ν•˜κΈ° μœ„ν•΄μ„œλŠ” ν–₯ν›„ λ‹€μ–‘ν•œ cut-off 값에 λ”°λ₯Έ μ€‘μž¬μ—°κ΅¬λ₯Ό μ‹œλ„ν•˜μ—¬ 예방적 μ‹œλ„μ— λ”°λ₯Έ μœ λ°©μ•”μ˜ λ°œμƒ 및 μœ λ°©μ•”μœΌλ‘œ μΈν•œ μ‚¬λ§μ˜ κ°μ†Œλ₯Ό 확인해야 ν•  것이닀. μΆ”ν›„ μΆ©λΆ„ν•œ μœ λ°©μ•” λ°œμƒμ΄ μžˆλŠ” λŒ€κ·œλͺ¨ μ½”ν˜ΈνŠΈμ—μ„œ λͺ¨λΈμ˜ κ²€μ •λ ₯ 및 μ˜ˆμΈ‘νƒ€λ‹Ήλ„λ₯Ό λ†’μ΄λŠ” 연ꡬ 및 μœ μ „μ„± μœ λ°©μ•” λ°œμƒμœ„ν—˜λ„ 평가λͺ¨λΈμ˜ 타당도 검정이 이루어져야 ν•  것이닀.Objective: Considering the rapid increase of breast cancer incidence in Korea, predicting high risk group of breast cancer and conducting preventive strategy such as modification of risk factors, screening assessment for early detection are important to reduce mortality. This study was conducted to develop sporadic and hereditary breast cancer assessment model in Korean female population. Methods: In the development process of sporadic hereditary breast cancer assessment model, risk factors were selected by multiple logistic regression analysis of breast cancer case-control study. National mortality data in 2009 for breast cancer mortality and mortality other than breast cancer and national cancer registry data in 2008 were applied to estimate the absolute probability of developing breast cancer. The external validity was examined using female participants data from Korean Multi-Center Cohort, National Cancer Center Cohort, Breast Cancer Registry data, and Korean Genome and Epidemiology Study data. Eight genes were added in the sporadic breast cancer risk assessment model to investigate t.he increment of discrimination power by comparing area under curve. Data from Korean Hereditary Breast Cancer Study Korean was used to calculate penetrance using Kin-cohort method and cumulative incidence method. The penetrance results and BRCA mutation prevalence in Korean population was applied to BRCAPRO model to develop the Korean hereditary breast cancer assessment model. Results: The risk factors included in sporadic breast cancer risk assessment model were family history of breast cancer, age at menarche, age at first full term pregnancy, number of children, regular exercise, age at menopause and body mass index. The discrimination power was 0.59 under the age 50 and 0.64 over the age 50. When this model applied to female participants of Korean Multi-Center Cohort and National Cancer Center Cohort, the risk of breast cancer patients was significantly higher than matched controls and there were no significant differences between observed and predicted incidence. Compared to the controls from Korean Genome and Epidemiology Study data, the risk of cases from Breast Cancer Registry data was higher. The discrimination power of this model increased to 0.65 under age 50 and 0.67 over the age 50 with eight genes. The penetrance of BRCA1 mutation for breast cancer until the age 80 was 44.9% from kin-cohort method and 42.1% for cumulative incidence method. The penetrance of BRCA2 mutation for breast cancer until the age 80 was 26.7% from kin-cohort method and 26.3% for cumulative incidence method. Using these penetrance estimates and prevalence of BRCA mutation carrier, Korean hereditary breast cancer assessment model was developed and it estimated the risk of BRCA mutation carrier well in unaffected people and breast cancer patients but overestimated BRCA mutation carrier in bilateral breast cancer patients. Conclusions: The sporadic and hereditary breast cancer assessment model developed in this study were important tool for estimating the risk, early detection and preventive options for risk reduction in Korean female population. Further studies to increase the discrimination power and validity study for hereditary breast cancer risk assessment model are necessary.Docto

    Incidence of bacteremia and antimicrobial resistance, and associated factors among patients transferred from long-term care hospital

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    Objective: To evaluate the prevalence of bacteremia and antimicrobial resistance, and associated factors among infectious patients transferred from long-term care hospitals (LTCHs).Methods: Consecutive adult patients who were transferred for suspected infection from affiliated LTCH's to study hospital emergency department (ED) over a 12 month period from January to December 2016 were included retrospectively. Patients with positive blood cultures (excluding contaminants as clinically determined) were defined as primary measure and subjected to further analysis according to antimicrobial resistance pattern. The latter was categorized into 4 subgroups based on groups of antimicrobial choices for empiric choices of suspected bloodstream infections. R-Group 0: bacteria susceptible to penicillin and amoxicillin; R-Group 1: bacteria resistant to penicillin/amoxicillin, first, second, or third generation cephalosporins. R-Group 2: ESBL-producing bacteria or bacteria resistant methicillin, fourth generation cephalosporin, or fluoroquinolone. R-Group 3: highly resistant pathogens including vancomycin resistant enterococci, carbapenem or colistin resistant Gram negatives. Blood culture isolate could therefore be included in >1 group.Results: Among 756 patients who were transferred from LTCHs, we excluded 278 patients who were not suspicious of infection and 65 patients who were not checked blood culture at ED. In total, 422 patients were enrolled. The incidence of bacteremia was 20.4% (n = 86). The most frequent pathogen was E. coli (n = 25) followed by S. aureus (n = 10), S. epidermidis (n = 8), and K. pneumonia (n = 6). The incidences of the R-Group 1, 2, and 3 groups were 16.8% (n = 71), 14.4% (n = 61), and 1.4% (n = 6), respectively. Of the Gram-positive pathogens (n = 44), the R-Group 1, 2, and 3 groups were 84.1% (n = 37), 75.0% (n = 33), and 9.1% (n = 4), respectively. Of the Gram-negative pathogens (n = 46), the R-Group 1, 2, and 3 groups were 82.6% (n = 38), 69.6% (n = 32), and 4.3% (n = 2), respectively. Among tested variables, initial serum procalcitonin level was significantly associated with the presence of bacteremia (AOR 1.03, 95% confidence interval 1.00-1.05), R-Group 1 (1.04, 1.01-1.07) and the R-Group 2 (1.04, 1.00-1.06).Conclusions: The prevalence of bloodstream infections in patients admitted from LTCH was high (20.4%) with majority of these infections from resistant bacteria. Procalcitonin levels were significantly higher in bacteremic patients with an increasing trend towards bacteria in the antimicrobial resistant groups. (C) 2018 Elsevier Inc. All rights reserved

    Method for estimation of nationwide mandatory vaccination coverage rate and the result of pilot study

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    ν•™μœ„λ…Όλ¬Έ(석사) --μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μ˜ν•™κ³Ό(μ˜ˆλ°©μ˜ν•™μ „κ³΅),2010.2.Maste
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