• 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.

• 보건의료산업학회지
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• 제6권4호
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• pp.13-25
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• 2012

There is growing evidence that substance use such as tobacco or alcohol consumption influences health disparity among adolescents. Previous research papers have shown an inconsistency in the relationship between socio-economic status (SES) and substance use in adolescents. However, little is known about socio-economic differences in unhealthy behaviors among Korean adolescents. The purpose of the present study is to explore associations between SES and substance use in Korean adolescents. The analysis was performed using data from the 2009 Korean Youth Risk Behavior Web-based Survey (YRBS), which included a nationally representative sample of middle and high school students. Drinking/heavy drinking and smoking/daily smoking behavior indices were used for dependent variables, and perceived economic status, family affluence score, parents' education were used for independent variables. Chi-square test were used to compare tobacco and alcohol consumption among 3 SES groups. Logistic regression models were used to identify statistically significant socio-economic factors after adjusting other covariates. Higher perceived economic status and higher family affluence were associated with higher rates of smoking, daily smoking, drinking, and heavy drinking, while lower level of parents' education was related to higher use of tobacco and alcohol. Socio-economic status significantly influences health behaviors in adolescents, and it may consequently affect health disparity in their adulthood. Therefore, there is a need of continuous monitoring and follow-up research of health disparity among adolescents.

• 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.

• 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.

• 한국경제지리학회지
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• 제19권4호
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• pp.729-742
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• 2016

최근 세계화와 산업구조조정으로 인해 가속되는 사회경제적 양극화는 학력자본의 세대 간 대물림으로 고착될 위험에 처해 있다. 본 연구는 학력자본의 대물림은 거주지 분리를 매개로 이루어진다는 인식 하에 중년층의 교육수준별 거주지 분리에 따른 근린주거환경의 격차를 서울시를 사례로 분석하였다. 국지적 거주지 분리 측도를 통해 근린별 거주지 분리를 측정하고 자연, 주택, 지역인구, 생활 편의 교통, 교육, 복지문화 등 다양한 분야의 근린주거환경을 가늠하는 변수들을 활용했다. 분석 결과 학력층별 집중-집적지 간에는 뚜렷한 근린주거환경의 격차가 나타났다. 특히 저학력층과 고학력층 집중-집적지 사이에는 주택환경과 교육환경 측면에서 정반대의 성격을 보였다. 이러한 결과는 한국 도시의 계층별 거주지 분리의 원인에 대한 주장을 뒷받침하는 증거가 되기도 한다.

• 한국경제지리학회지
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• 제16권1호
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• pp.86-98
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• 2013

본 연구는 교육환경이 형성하는 주택가격에 관한 문제를 사회공간적 격차(양극화)의 문제와 연관된다는 점에 주목한다. 즉 본 연구는 공적인 특성과 기능을 가진 교육환경이 주택가격 결정요인으로 작용하면서 주택가치의 사유화되는 과정 속에서 사회적인 격차를 초래한다는 점을 밝히고자 한다. 서울시 사례를 통하여 교육환경으로 인한 부동산 가치의 결정, 그에 따른 소득(자산)의 공간적 격차 심화가 일어나는 현상을 거시적으로 확인하였다. 더불어 본 연구의 핵심주제인 교육환경으로 인한 주택 가격의 결정과 그에 영향을 미치는 세부 요인들을 양천구를 사례로 실증분석 하였다. 결과적으로 공간적 스케일에 따라 모두 교육환경, 주택가격 및 사회적 격차는 상관관계를 가진 분포패턴을 분명히 보이고 있으며, 아울러 세부 실증분석에서도 교육환경이 주택상품 그 자체의 물리적 특성에 못지않게 가격결정에 중요한 역할을 수행하는 것으로 분석되었다. 이는 결국 교육환경과 교육성과 및 소득격차 간 연계성을 사회적으로만 다루는 것이 아니라 공간적으로 다루어야 한다는 점을 강조하게 된다. 아울러 기존 주택부문 연구에서도 단지 주택가격 결정이 기술적인 연구가 아니라 사회공간적 격차와 관련된 사회과학적 이슈로도 다루어져야 한다는 점을 분명히 보여주고 있다. 본 연구는 연구내용 자체의 한계점에도 불구하고, 그러한 연구의 필요성을 제기하는 시론적이며 기초적인 연구로서 향후 더 많은 관련 연구의 출발점으로서 의의가 있다고 본다.

• 한국지역지리학회지
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• 제12권5호
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• pp.557-570
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• 2006

본 논문은 대구시 지원봉사활동에 있어서 자원봉사자와 자원봉사활동 수혜자간의 지역적 불균형을 분석하고 이러한 불균형을 최소화하기 위한 방안을 제시하는데 목적을 두고 있다. 자원봉사활동에 영향을 미치는 요인을 분석한 결과, 자원봉사자의 경우 소득과 학력에 따라 계층화되어 주거수준에 따라 자원봉사자율의 편차가 심하고 구(區)별로 다르게 나타난다. 자원봉사활동 수혜자의 경우 특정 소단위지역에 집중분포하면서 구(區)별 차이보다는 동별 격차가 상당히 심하게 나타났다. 이러한 자원봉사자와 자원봉사활동의 공간불균형을 조정하기 위해서는 자원봉사자의 지역간 교류를 극대화하는 전략이 마련되어야 할 것이다.

• 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.

• 한국산학기술학회논문지
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• 제12권12호
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• pp.5601-5613
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• 2011

본 연구에서는 사회경제적 특성에 따라 인터넷 접근, 인터넷 이용 정도 및 인터넷 서비스 이용 상의 디지털 격차가 어떻게 달라지는가를 체계적으로 규명하고자 하였다. 이를 위해 본 연구에서는 한국인터넷진흥원의 인터넷이용자실태조사 데이터를 이용하여 사회경제적 특성에 따른 인터넷 접근과 인터넷 이용(양적 이용 정도, 인터넷 서비스 이용)의 디지털 격차를 로지스틱 회귀분석방법으로 검증하였다. 분석결과, 인터넷 접속(가정에서의 인터넷 접속, 초고속 인터넷 접속)과 인터넷 이용정도(적극적 이용, 정기적 이용, 비정기적 이용)는 연령, 성별, 교육수준, 고용상태, 소득수준, 인터넷 접속 유형 등에 따라 디지털 격차가 존재하는 것으로 나타났다. 인터넷 서비스 이용(정보 활용, 커뮤니케이션 및 커뮤니티, 전자상거래, 인터넷 뱅킹)의 경우 고학력자 및 고소득층이며, 학생이고 젊은 연령층일수록 인터넷 서비스를 많이 활용하는 것으로 나타나 사회경제적 특성에 따른 인터넷 서비스 활용 격차가 존재하는 것으로 검증되었다.

• Journal of Preventive Medicine and Public Health
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• 제40권5호
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• pp.345-350
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• 2007

Objectives: To determine the disparity in the rate people undergo health examinations according to socioeconomic position (SEP) and the changes in this disparity with time. Methods: Seoul citizens' health profile data from 1997 to 2005 were analyzed. The study subjects were 40 years old and over, and the total number of subjects was 6,601 in 1997, 8,994 in 2001, and 8,819 in 2005. Those aged 60 years and over were eliminated from the analysis of subjects' occupation. We used education, family income and occupation as indicators of SEP. The age-standardized health examination attendance rate for each year was calculated according to the education, family income and occupation. The odds ratios (ORs) from multiple logistic regressions were adjusted for age. Results: The disparity in the rate of attendance according to the SEP decreased from 1997 to 2005 but still existed. Even though the disparities among the subgroups according to education, family income and occupation were not that high, the disparity between the group with the highest SEP and the other groups was considerable. Conclusions: Our findings suggest that unequal access to health examination services according to socioeconomic position still exists. This disparity has decreased recently but the disparity according to level of education was the greatest.