• Asian Pacific Journal of Cancer Prevention
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• 제14권1호
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• pp.159-163
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• 2013

Background: This study used Surveillance, Epidemiology and End Results (SEER) pancreatic cancer data to identify predictive models and potential socio-economic disparities in pancreatic cancer outcome. Materials and Methods: For risk modeling, Kaplan Meier method was used for cause specific survival analysis. The Kolmogorov-Smirnov's test was used to compare survival curves. The Cox proportional hazard method was applied for multivariate analysis. The area under the ROC curve was computed for predictors of absolute risk of death, optimized to improve efficiency. Results: This study included 58,747 patients. The mean follow up time (S.D.) was 7.6 (10.6) months. SEER stage and grade were strongly predictive univariates. Sex, race, and three socio-economic factors (county level family income, rural-urban residence status, and county level education attainment) were independent multivariate predictors. Racial and socio-economic factors were associated with about 2% difference in absolute cause specific survival. Conclusions: This study s found significant effects of socio-economic factors on pancreas cancer outcome. These data may generate hypotheses for trials to eliminate these outcome disparities.

• 한국콘텐츠학회논문지
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• 제16권6호
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• pp.323-333
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• 2016

본 연구의 목적은 노인의 사회경제적 변인이 노인의 삶에 대한 만족도에 미치는 영향에 있어서의 노인 여가참여의 매개효과를 구체적으로 검증해 보고자 하는데 있었다. 한국노동연구원의 2012년 "한국고령화 연구패널조사(KLoSA)" 4차 조사에 참여한 총 7,486명의 데이터를 분석하였으며 그 결과는 다음과 같다. 첫째, 노인의 사회경제적 변인인 교육수준, 가구 총소득, 순자산이 노인의 삶에 대한 만족도에 정적인 영향을 미쳐, 노인의 경우 교육수준, 가구 총소득, 순자산이 높을수록 삶에 대한 만족도가 높아지고 있었다. 둘째, 노인의 사회경제적 변인인 교육수준, 가구 총소득, 순자산이 노인의 여가참여라는 매개변수의 효과를 통해 노인의 삶에 대한 만족도에 영향을 미쳐, 노인의 경우 교육수준, 가구 총소득, 순자산이 높을수록 여가참여 수준이 높아지고 그로 인해 삶에 대한 만족도가 높아지고 있었다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권12호
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• pp.7133-7136
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• 2013

Background: We studied Surveillance, Epidemiology and End Results (SEER) breast cancer data of Georgia USA to analyze the impact of socio-economic factors on the disparity of breast cancer treatment outcome. Materials and Methods: This study explored socio-economic, staging and treatment factors that were available in the SEER database for breast cancer from Georgia registry diagnosed in 2004-2009. An area under the receiver operating characteristic curve (ROC) was computed for each predictor to measure its discriminatory power. The best biological predictors were selected to be analyzed with socio-economic factors. Survival analysis, Kolmogorov-Smirnov 2-sample tests and Cox proportional hazard modeling were used for univariate and multivariate analyses of time to breast cancer specific survival data. Results: There were 34,671 patients included in this study, 99.3% being females with breast cancer. This study identified race and education attainment of county of residence as predictors of poor outcome. On multivariate analysis, these socio-economic factors remained independently prognostic. Overall, race and education status of the place of residence predicted up to 10% decrease in cause specific survival at 5 years. Conclusions: Socio-economic factors are important determinants of breast cancer outcome and ensuring access to breast cancer treatment may eliminate disparities.

• Asian Pacific Journal of Cancer Prevention
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• 제15권1호
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• pp.25-28
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• 2014

Background: This study analyzed whether socio-economic factors affect the cause specific survival of soft tissue sarcoma (STS). Methods: Surveillance, Epidemiology and End Results (SEER) soft tissue sarcoma (STS) data were used to identify potential socio-economic disparities in outcome. Time to cause specific death was computed with Kaplan-Meier analysis. Kolmogorov-Smirnov tests and Cox proportional hazard analysis were used for univariate and multivariate tests, respectively. The areas under the receiver operating curve were computed for predictors for comparison. Results: There were 42,016 patients diagnosed STS from 1973 to 2009. The mean follow up time (S.D.) was 66.6 (81.3) months. Stage, site, grade were significant predictors by univariate tests. Race and rural-urban residence were also important predictors of outcome. These five factors were all statistically significant with Cox analysis. Rural and African-American patients had a 3-4% disadvantage in cause specific survival. Conclusions: Socio-economic factors influence cause specific survival of soft tissue sarcoma. Ensuring access to cancer care may eliminate the outcome disparities.

• 한국의류산업학회지
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• 제8권6호
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• pp.672-678
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• 2006

This study examines the implications of fashion in self-expression or image management among college students in Korea. Socio-demographic factors are considered in addressing following research questions: why Korean college students seek luxury goods; how they recognize the effects of using luxury goods on their image management; whether or not they have purchased counterfeit luxury goods; and why they buy counterfeit goods. In order to explain the relationship between fashion and social class, the study examines various sociological theories including Erving Goffman's dramaturgical approach. The data were drawn from 1419 students from 10 universities nationwide in 2005. Chi-square analyses yields outcomes as follows: Using luxury goods works as a class symbol that gives the users the image of higher socio-economic background; use of counterfeit luxury goods and its symbolic effects in image management do not have significant relationship with socio-economic background.

• Asian Pacific Journal of Cancer Prevention
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• 제14권4호
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• pp.2567-2570
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• 2013

Background: This study analyzed Surveillance, Epidemiology and End Results (SEER) data to assess if socio-economic factors (SEFs) impact on endometrial cancer survival. Materials and Methods: Endometrial cancer patients treated from 2004-2007 were included in this study. SEER cause specific survival (CSS) data were used as end points. The areas under the receiver operating characteristic (ROC) curve were computed for predictors. Time to event data were analyzed with Kaplan-Meier method. Univariate and multivariate analyses were used to identify independent risk factors. Results: This study included 64,710 patients. The mean follow up time (S.D.) was 28.2 (20.8) months. SEER staging (ROC area of 0.81) was the best pretreatment predictor of CSS. Histology, grade, race/ethnicity and county level family income were also significant pretreatment predictors. African American race and low income neighborhoods decreased the CSS by 20% and 3% respectively at 5 years. Conclusions: This study has found significant endometrial survival disparities due to SEFs. Future studies should focus on eliminating socio-economic barriers to good outcomes.

• 한국주거학회논문집
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• 제4권1호
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• pp.29-38
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• 1993

The purpose of this study was to investigate the middle-aged housewive's background characteristics influencing on the preference of elderly housing, depending on four aging-situations. The characteristics of the elderly housing dealt in thes study were geographical location. specially planned feature for the elderly, house type, the size of housing, housemate, the distance from the living quarter of their children, and whether they want to live in the rental house. The subject were 526 middle-aged housewives from middle-income householde living in the capital area. Questionnaires were sent through mail to the householde which tesponded positively on the information brochure about this study sent before. The characteristics of the elderly housing which perferred to was influenced by their age and socio-economic status, such as schooling, job, income, and the size of housing. This result suggests that it must be considered to develop various types of the elderly housing depending on socio-economic status.

• 한국콘텐츠학회논문지
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• 제13권6호
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• pp.236-245
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• 2013

본 연구는 노인자살증가의 원인을 파악하기 위해 거시적인 측면의 관점에서 노인자살률과 사회 경제적요인의 관련성을 분석하였다. 노인자살의 이론적 배경은 사회학적 관점과 경제학적 관점에 기초하여 설명하였다. 노인자살률의 경제적 요인에는 경제성장률과 실업률 그리고 노인의 경제활동참가율과 상대적 빈곤율(소득불평등율)을 포함하며, 사회적 요인의 범주에 속하는 변수로는 사회복지지출비, 이혼율, 그리고 고령화비 증가율과 노인부양비를 포함한다. 주요 연구결과로는 첫째, 노인의 경제활동참가율이 낮을수록 노인자살률이 높아지는 경향이 있었다. 둘째, 사회복지지출비가 낮을수록 노인자살률이 증가하는 것으로 나타났다. 셋째, 상대적 빈곤율, 고령화비 증가율, 그리고 노인부양비는 공히 이들이 증가할수록 노인자살률도 동시에 증가하는 것으로 나타났다. 끝으로 한국노인자살률의 지속적 증가를 예방하기 위해서 거시적 차원의 사회 경제적 정책방안을 제언하였다.

• 한국콘텐츠학회논문지
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• 제12권6호
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• pp.518-529
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• 2012

유럽의 통합은 1991년 12월 마스트리히트에서 유럽연합조약을 처음 체결하면서 시작되었다. 근대 민족 국가의 요람이라고 할 수 있는 유럽은 현재 각국들의 사회경제적 통합은 물론 정치적 분야에서도 단일 유럽을 실현해 왔다. 이러한 가운데 유럽연합의 새로운 통합성장동력을 개발하기 위한 평생교육정책은 무엇보다도 사회경제적 환경 변화에 대비 할 수 있는 교육적 대응이 필요하다고 보고 있다. 특히 평생교육분야의 협력과 통합발전에 있어서는 다양성과 상호 조절을 통한 효율성의 조화를 이루어야 하는 중요한 과제를 안고 있다고 본다. 그러나 그들의 노력에도 불구하고 2008년 이후 유럽연합의 몇몇 국가들은 경제 침체로 인하여 국가재정의 위기를 맞이하였으며, 급기야 유럽전체의 재정위기로 까지 영향을 미치고 있다. 이와 같은 위기는 현재 유럽연합의 사회경제적 통합을 흔들고 있다. 본 연구에서는 유럽연합의 사회경제적 통합을 위한 평생교육 체제구축 및 정책 추진 현황을 살펴보고, 유럽연합에 속한 국가들 간의 성인평생교육 참여율이 1인당 국민소득과 어떠한 관련성이 있는지 분석하고자 하였다. 그리고 유럽연합의 경제위기 속에서 회원국 간의 사회경제적 통합이 지속 가능할 수 있을지를 통합적 평생교육체제의 문제점을 중심으로 알아보았다. 또한 이를 통하여 우리나라 평생교육의 새로운 패러다임 전환과 정책 수립 및 발전 방향 제시에 시사점을 도출하고자 하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권9호
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• pp.4091-4094
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• 2014

Background: This study used the receiver operating characteristic curve (ROC) to analyze Surveillance, Epidemiology and End Results (SEER) bronchioaveolar carcinoma data to identify predictive models and potential disparity in outcomes. Materials and Methods: Socio-economic, staging and treatment factors were assessed. For the risk modeling, each factor was fitted by a Generalized Linear Model to predict cause specific survival. The area under the ROC was computed. Similar strata were combined to construct the most parsimonious models. A random sampling algorithm was used to estimate modeling errors. Risk of cause specific death was computed for the predictors for comparison. Results: There were 7,309 patients included in this study. The mean follow up time (S.D.) was 24.2 (20) months. Female patients outnumbered male ones 3:2. The mean (S.D.) age was 70.1 (10.6) years. Stage was the most predictive factor of outcome (ROC area of 0.76). After optimization, several strata were fused, with a comparable ROC area of 0.75. There was a 4% additional risk of death associated with lower county family income, African American race, rural residency and lower than 25% county college graduate. Radiotherapy had not been used in 2/3 of patients with stage III disease. Conclusions: There are socio-economic disparities in cause specific survival. Under-use of radiotherapy may have contributed to poor outcome. Improving education, access and rates of radiotherapy use may improve outcome.