• 제목/요약/키워드: neighborhood education attainment

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빈곤이 아동의 학구적 성취에 영향을 미치는 과정 분석 (Process Analysis of Poverty Influences on Academic Attainment of Children)

  • 김광혁
    • 한국사회복지학
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    • 제58권4호
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    • pp.265-289
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    • 2006
  • 본 연구의 목적은 빈곤이 아동의 학구적 성취에 미치는 과정을 분석하는 것이다. 이를 위해, 한국청소년패널(초4패널) 1차년도 자료 2838사례가 활용되었으며, 구체적 분석방법은 구조방정식모형이 사용되었다. 분석결과, 빈곤은 아동의 학구적 성취에 직접적으로 영향을 미치는 것이 아니라, 가족기능, 이웃환경, 사교육, 자기 신뢰감 등 여러 과정변수를 통해 영향을 미치는 것으로 나타났다. 이러한 본 연구의 발견은 빈곤아동에 대한 사회적 지원이 학구적 성취 수준을 향상시키는데 기여할 수 있음을 보여주는 것이다. 특히, 이러한 사회적 지원이 빈곤의 영향을 매개하는 요인들에 집중될 필요가 있음을 보여준다.

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교육수준별 거주지 분리와 근린주거환경 격차: 서울시를 사례로 (Residential Segregation by Education Attainment and Neighborhood Disparity: A Case Study of Seoul)

  • 정수열;이정현
    • 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.

영과잉 음이항 회귀모형을 적용한 농촌지역 성인 신체활동의 지역사회환경 요인 분석 (Neighborhood Environment Associated with Physical Activity among Rural Adults: Applying Zero-Inflated Negative Binominal Regression Modeling)

  • 김봉정
    • 한국보건간호학회지
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    • 제29권3호
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    • pp.488-502
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    • 2015
  • Purpose: This study was conducted to determine the neighborhood environmental factors associated with physical activity among adults living in rural communities. Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 201 adults living in three Ri in Y-city, Gyeonggi-do. Data were collected from face-to-face interview by trained interviewers and were analyzed using a zero-inflated negative binominal regression model. Results: Participants reported engaged in moderate or vigorous physical activity was 76.1%; 10.5% of participants reported that they met moderate physical activity recommendations and 14.5% of participants reported that they met vigorous physical activity recommendations. Zero-inflated negative binominal regression analysis showed association of increasing days of physical activity with social cohesion (${\beta}=.130$, p=.005), social network (${\beta}=-.096$, p=.003), and safety for crime (${\beta}=-.151$, p=.036), and no days of physical activity was associated with no attainment of education and marginally associated with increasing BMI. Conclusion: Neighborhood environmental factors including social cohesion, social network, and crime for safety were significantly associated with physical activity of rural adults. Community health nurses should expand an approach for individual behavior change to incorporate rural adults' specific neighborhood environmental factors into physical activity interventions.

Assessing the Impact of Socio-economic Variables on Breast Cancer Treatment Outcome Disparity

  • Cheung, Min Rex
    • 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.

노인의 불명확한 사망원인진단 관련요인 분석과 개선방안 (Analysis and Improving ways of Factors affecting the Ill-defined Causes of Death of the Aged in Korea)

  • 박상희;이태용
    • 보건행정학회지
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    • 제21권2호
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    • pp.329-348
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    • 2011
  • This research analyzed 168,010 cases of death of the aged over 65 from 244,867cases of death excluding 7 unknown age cases from 244,874 all age cases of death by using the death data of the National Statistical Office for 2007 to figure out factors affecting the quality of causes of death statistics of the aged and to suggest the ways of improving the quality of death statistics of the aged in korea. This research tried to derive factors affecting ill-defined cause of death category in acordance with WHO's guidelines and to find causes of lowering the accuracy of causes of death statistics of the aged. This research identified the problems of causes of death statistics of the aged by using both demographic characteristics such as sex, age, marital status, educational attainment, residential region, region size and factors of death items as independent variable to find causes of ill-defined cause of death of the aged. Logistic regression analysis was executed to calculate the hazard ratio about the ill-defined causes of death of the aged and multiple regression analysis was conducted to derive factors affecting the ill-defined cause of death by regional groups through using these independent variables such as the component ratio of over age 65, female death rates, doctors insitutions rate, medical institutions rate, attaching rates of death certificate by neighborhood. As a results of this research, R-code was the highest of ill-defined causes of death, accounting for 82.1%, and senility death(R54) of R-code was the highest, accounting for 91.2%. through subdivided order distribution of the ill-defined causes of death of the aged. As ill-defined causes of death by regional groups, attaching rates of death certificate by neighborhood was the most important factor(p<0.05) and also showed regression model's description with 83.8% ($R^2$=83.8%). Furthermore, Jeon-nam was the highest in the regional groups and these regions such as Je-ju, Jeon-buk, Chung-nam were not only attaching the death certificate by neighborhood but also were high at the rate of ill-defined causes of death. Therefore, this research found that both reconsideration about death certificate by neighborhood and education for doctors who write death certificate were needed the most.