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    교육수준과 지역결핍지수에 따른 뇌혈관질환 사망률 차이 = Difference of Area-based deprivation and Education on Cerebrovascular Mortality in Korea

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    https://www.riss.kr/link?id=A103857623

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study was performed to identify the difference of the area-based deprivation and the educational level on the cerebrovascular mortality in Korea. Data used in this study was obtained from the Death Certificate Data 2000 and the 2000 Census produced by Korean National Statistics(NSO). We classified the whole country into 246 areas based on the administrative districts. Then, the Standardized Mortality Ratio (SMR) in cerebrovascular disease was calculated according to the sex, education level and 246 areas. Its Predicted SMR was calculated by the Empirical Bayes Methods to reduce the variation of the SMR values. The area-based deprivation of 246 areas were measured using the modified Carstairs index in which the 5 indicators consisted of overcrowding, the unemployment ratio of men, the percentage of households classified low social class, the percentage of non home owners, and finally those houses lacking basic amenities. The correlation between the area-based deprivation and the SMR of the whole country and the correlation between the area-based deprivation and the SMR of each metropolitan cities or provinces was analyzed by the Pearson correlation analysis method. After classifying the deprivation of 246 areas into 5 levels, we performed the random intercept Poisson regression analysis after adjusting education level and age using Empirical Bayes Method to investigate the relationship between the 5 deprivation levels and the cerebrovascular mortality. The SMR was increased in lower education level. Each 246 areas had different values in SMR, Predicted SMR and area-based deprivation. The area-based deprivation and the SMR of the whole country was not correlated in both sexes. The education level of an individual was associated the risk of cerebrovascular mortality in men. The risk of cerebrovascular mortality increased with age compared to the reference (<30). The area-based deprivation was not associated with the risk of cerebrovascular in both sexes.
    The findings of this study suggest that the SMR had positive and negative correlations with area-based deprivation depending on the metropolitan cities or province. It also suggests that the individual education level and age were related with mortality and finally that the area-based deprivation was not associated to the cerebrovascular mortality in Korea.
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    This study was performed to identify the difference of the area-based deprivation and the educational level on the cerebrovascular mortality in Korea. Data used in this study was obtained from the Death Certificate Data 2000 and the 2000 Census produc...

    This study was performed to identify the difference of the area-based deprivation and the educational level on the cerebrovascular mortality in Korea. Data used in this study was obtained from the Death Certificate Data 2000 and the 2000 Census produced by Korean National Statistics(NSO). We classified the whole country into 246 areas based on the administrative districts. Then, the Standardized Mortality Ratio (SMR) in cerebrovascular disease was calculated according to the sex, education level and 246 areas. Its Predicted SMR was calculated by the Empirical Bayes Methods to reduce the variation of the SMR values. The area-based deprivation of 246 areas were measured using the modified Carstairs index in which the 5 indicators consisted of overcrowding, the unemployment ratio of men, the percentage of households classified low social class, the percentage of non home owners, and finally those houses lacking basic amenities. The correlation between the area-based deprivation and the SMR of the whole country and the correlation between the area-based deprivation and the SMR of each metropolitan cities or provinces was analyzed by the Pearson correlation analysis method. After classifying the deprivation of 246 areas into 5 levels, we performed the random intercept Poisson regression analysis after adjusting education level and age using Empirical Bayes Method to investigate the relationship between the 5 deprivation levels and the cerebrovascular mortality. The SMR was increased in lower education level. Each 246 areas had different values in SMR, Predicted SMR and area-based deprivation. The area-based deprivation and the SMR of the whole country was not correlated in both sexes. The education level of an individual was associated the risk of cerebrovascular mortality in men. The risk of cerebrovascular mortality increased with age compared to the reference (<30). The area-based deprivation was not associated with the risk of cerebrovascular in both sexes.
    The findings of this study suggest that the SMR had positive and negative correlations with area-based deprivation depending on the metropolitan cities or province. It also suggests that the individual education level and age were related with mortality and finally that the area-based deprivation was not associated to the cerebrovascular mortality in Korea.

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    참고문헌 (Reference)

    1 정성원, "한국적 특수성을 고려한 지역특성과 개인의 건강" 대한예방의학회 38 (38): 259-266, 2005

    2 이미숙, "한국 성인의 건강불평등:사회계층과 지역 차이를 중심으로" 한국사회학회 39 (39): 183-209, 2005

    3 손미아, "직업,교육수준 그리고 물질적 결핍이 사망률에 미치는 영향" 대한예방의학회 35 (35): 10-82, 2002

    4 통계청, "인구센서스조사" 통계청 2000

    5 정백근, "우리나라에서의 지역의 물질적 결핍수준과 15-64세 인구 표준화사망비의 관계" 대한예방의학회 39 (39): 46-52, 2006

    6 임정수, "소득계층에 따른 뇌심혈관질환 사망률 차이" 한국보건교육건강증진학회 23 (23): 109-119, 2006

    7 손미아, "사회계급과 건강행위가 유병률에 미치는 영향" 대한예방의학회 35 (35): 7-64, 2002

    8 윤태호, "사회계급 분포와 사망률과의 연관성" 한국보건행정학회 13 (13): 99-114, 2003

    9 송윤미, "사회경제적 수준과 사망의 연관성 : 한국 남성 759,665명에서의 코호트 연구" 20 (20): 219-225, 1998

    10 강영호, "사회경제적 사망률 불평등 : 한국노동패널 조사의 추적 결과" 한국보건행정학회 14 (14): 1-20, 2004

    1 정성원, "한국적 특수성을 고려한 지역특성과 개인의 건강" 대한예방의학회 38 (38): 259-266, 2005

    2 이미숙, "한국 성인의 건강불평등:사회계층과 지역 차이를 중심으로" 한국사회학회 39 (39): 183-209, 2005

    3 손미아, "직업,교육수준 그리고 물질적 결핍이 사망률에 미치는 영향" 대한예방의학회 35 (35): 10-82, 2002

    4 통계청, "인구센서스조사" 통계청 2000

    5 정백근, "우리나라에서의 지역의 물질적 결핍수준과 15-64세 인구 표준화사망비의 관계" 대한예방의학회 39 (39): 46-52, 2006

    6 임정수, "소득계층에 따른 뇌심혈관질환 사망률 차이" 한국보건교육건강증진학회 23 (23): 109-119, 2006

    7 손미아, "사회계급과 건강행위가 유병률에 미치는 영향" 대한예방의학회 35 (35): 7-64, 2002

    8 윤태호, "사회계급 분포와 사망률과의 연관성" 한국보건행정학회 13 (13): 99-114, 2003

    9 송윤미, "사회경제적 수준과 사망의 연관성 : 한국 남성 759,665명에서의 코호트 연구" 20 (20): 219-225, 1998

    10 강영호, "사회경제적 사망률 불평등 : 한국노동패널 조사의 추적 결과" 한국보건행정학회 14 (14): 1-20, 2004

    11 통계청, "사망원인통계자료"

    12 김혜련, "면접조사자료와 사망등록자료 간 교육수준 및 직업계층의 신뢰도" 대한예방의학회 38 (38): 443-448, 2005

    13 이자호, "국내 재가 뇌질환 환자의 가족 구조 및 소득의 변화" 대한재활의학회 34 (34): 120-127, 2010

    14 강영호, "경제위기에 따른 사망률 불평등의 변화: 지역의 사회경제적 위치 지표의 활용" 대한예방의학회 38 (38): 359-365, 2005

    15 임승지, "건강보험 청구자료를 이용한 우리나라 뇌졸중 환자의 사회경제적 비용 추계" 대한예방의학회 42 (42): 251-260, 2009

    16 World Health Organization, "the International Classification of Disease, 10th Revision(ICD-10)"

    17 Zhou G, "The effect of socioeconomic status on three-year mortality after first-ever ischemic stroke in Nanjing, China" 6 : 227-, 2006

    18 Putman K, "The effect of socioeconomic status on functional and motor recovery after stroke: a European multicentre study" 78 (78): 593-599, 2007

    19 Weir NU, "Study of the relation between social deprivation and outcome after stroke" 36 (36): 815-819, 2005

    20 Maheswaran R, "Stroke mortality associated with living near main roads in England and Wales: A Geographical Study" (34) : 2776-2780, 2003

    21 Elliot P, "Spatial Epidemiology: Current approaches and future challenges" 112 (112): 998-1006, 2004

    22 Taylor FC, "Socioeconomic deprivation is a predictor of poor postoperative cardiovascular outcomes in patients undergoing coronary artery bypass grafting" 89 (89): 1062-1066, 2003

    23 Jakovljevic D, "Socioeconomic and ischemic stroke the FINMONICA stroke register" 32 : 1492-1298, 2001

    24 Khang YH, "Risks for cardiovascular disease, stroke, ischaemic heart disease, and diabetes mellitus associated with the metabolic syndrome using the new harmonised definition: findings from nationally representative longitudinal data from an Asian population" 213 (213): 579-585, 2010

    25 Anno T, "Relationship between living arragement and stroke in Sano-Kosei General Hospital" 39 (39): 1055-1059, 2011

    26 Jungehulsing GJ, "Prevalence of stroke and stroke symptoms: a population-based survey of 28,090 participants" 30 (30): 51-57, 2008

    27 Diez Roux AV, "Neighbourhood environments and mortality in an elderly cohort: results from the cardiovascular health study" 58 (58): 917-923, 2004

    28 Janghorbani M, "Neighborhood deprivation and preterm birth in Plymouth, UK" 19 (19): 85-91, 2006

    29 Sundquist K, "Neighborhood deprivation and incidence of coronary heart disease: a multilevel study of 2.6 million women and men in Sweden" 58 : 71-77, 2004

    30 Cubbin C, "Neighborhood deprivation and cardiovascular disease risk factors: protective and harmful effects" 34 (34): 228-237, 2006

    31 Townsend P, "Inequalities in health in the Northern Region: An Interim report" Northern Regional Health Authority/Bristol University 1986

    32 Khang YH, "Health inequalities in Korea: age-and sex-specific educational differences in the 10 leading causes of death" 33 : 299-308, 2004

    33 Song YM, "Excess mortality from avoidable and non-avoidable causes in men of low socioeconomic status: a prospective study in Korea" 54 (54): 166-172, 2000

    34 Kapral MK, "Effect of socioeconomic status on treatment and mortality after stroke" 33 : 268-275, 2002

    35 Wong KY, "Effect of social deprivation on mortality and the duration of hospital stay after a stroke" 22 (22): 251-257, 2006

    36 Aslanyan S, "Effect of area-based deprivation on the severity, subtype, and outcome of ischemic stroke" 34 (34): 2623-2628, 2003

    37 Carstairs V, "Deprivation and mortality: an alternative to social class?" 11 (11): 210-219, 1989

    38 Son M, "Commentary: why the educational effect is so strong in differentials of mortality in Korea?" 33 (33): 308-310, 2004

    39 Kyunghee Jung-Choi, "Changes in Contribution of Causes of Death to Socioeconomic Mortality Inequalities in Korean Adults" 대한예방의학회 44 (44): 249-259, 2011

    40 Sundquist J, "Cardiovascular risk factors and the neighbourhood environment: a multilevel analysis" 28 : 841-845, 1999

    41 Breslow NE, "Approximate inference in generalized linear mixed models" 88 (88): 9-25, 1993

    42 Hutchinson MK, "Analysis of count data using poisson regression" 28 (28): 408-418, 2005

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    2016 0.78 0.78 0.8
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