• 디지털콘텐츠학회 논문지
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• 제19권7호
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• pp.1381-1387
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• 2018

본 연구는 전세계적으로 여성암 발병률 1위로 꼽히는 유방암 검진을 활성화하여 질병을 예방하고 조기에 발견할 수 있는 인식 개선 방안을 살펴보기 위해 진행되었다. 유방암 관련 인식을 살펴보기 위해 건강신념모형(HBM)을 활용하였다. 질병 위험 지각, 질병 예방 행동 평가가 질병 관련 정보 추구에 긍정적인 영향을 주고 이러한 정보 추구 행동이 결과적으로 유방암 건강 검진 의도를 강화할 것이라고 추측하였다. 여기에 개인의 가치와 관심에 의한 스스로의 행위 조절을 뜻하는 '자율적 동기'를 추가적으로 살펴보았다. 연구 결과, 유방암을 위험하다고 지각할수록 유방암과 관련한 정보를 보다 적극적으로 찾고 있었다. 유방암 검진을 수행함으로써 얻을 수 있는 이익을 높게 지각할수록 관련 정보를 추구하는 행동 역시 높게 나타났다. 또한 스스로의 행위 조절에 적극적일수록, 즉 자율적 동기가 높을수록 유방암 관련 정보 추구 행동이 강하게 나타났다. 이러한 정보 추구 행동은 다시 건강 검진 의도에 긍정적인 영향을 미쳤다. 즉 유방암 관련 정보를 많이 찾아볼수록 검진을 하겠다는 의도가 높아짐을 확인할 수 있었다.

• 한국조경학회지
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• 제29권1호
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• pp.22-31
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• 2001

The purpose of this study is to compare calculated pollutant loadings using pollutant load unit factors and vector type coverage, and expected mean concentration(EMC) and raster type of digital elevation model(DEM). This study is also focusing on comparison of the advantages and the disadvantages of the two methods, and seeking for a method of calculation of pollutant loadings using DEM. Estimation of pollutant inputs using pollutant load unit factors has limitations in identifying seasonal variations of pollutant loadings. Seasonal changes of runoffs should be considered in the calculation of pollutant loadings from catchments into reservoirs. Evaluation of pollutant inputs using runoff-coefficient and EMC can overcome these drawbacks. Proper EMC and runoff-coefficient values for the Koeup stream catchments of the Koheung estuarine lake were drawn from review of related papers. Arc/Info was employed to establish database of spatial and attribute data of point and non-point pollutant sources and characteristics of the catchments. ArcView was used to calculate point and non-point pollutant loadings. Pollutant loads estimated with either unit factors-coverages, i.e., pollutant load unit factors and vector coverages f point sources and land use, or EMC and digital elevation mode(DEM) were compared with stream monitoring loads. We have found that some differences were shown between monitoring results and estimated loads by Unit Factors-Coverage and EMC-DEM. Monthly variations of pollutant loads evaluated with EMC-DEM were similar to those with monitoring result. The method using EMC-DEM can calculate accumulated flows and pollutant loads and can be utilized to identify stream networks. A future research on correcting the difference between vector type stream using flow direction grid and digitalizing vector type should be conducted in order to obtain more exact calculation of pollutant loadings.

• 여성건강간호학회지
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• 제26권4호
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• pp.285-299
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• 2020

Purpose: This systematic review aims to identify factors associated with risk-reducing salpingo-oophorectomy (RRSO), including the uptake rate and decision timing, among women at high risk for hereditary breast and ovarian cancer (HBOC). Methods: We found 4,935 relevant studies using MEDLINE, Embase, CINAHL, and PsycINFO on July 6, 2020. Two authors screened the articles and extracted data. Twenty-four studies met the inclusion criteria. Quality assessment of articles was conducted using the Risk of Bias for Nonrandomized Studies tool. Results: Five types of factors were identified (demographic factors, clinical factors, family history of cancer, psychological factors, and objective cancer risk). The specific significant factors were older age, having child(ren), being a BRCA1/2 carrier, mastectomy history, perceived risk for ovarian cancer, and perceived advantages of RRSO, whereas objective cancer risk was not significant. The uptake rate of RRSO was 23.4% to 87.2% (mean, 45.2%) among high-risk women for HBOC. The mean time to decide whether to undergo RRSO after BRCA testing was 4 to 34 months. Conclusion: RRSO decisions are affected by demographic, clinical, and psychological factors, rather than objective cancer risk. Nonetheless, women seeking RRSO should be offered information about objective cancer risk. Even though decision-making for RRSO is a complex and multifaceted process, the psychosocial factors that may influence decisions have not been comprehensively examined, including family attitudes toward RRSO, cultural norms, social values, and health care providers' attitudes.