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RISS 인기검색어
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- 저자 : 김다양 ( Da Yang Kim ) (검색결과 4 건)
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공간분석을 이용한 지역별 비만율에 영향을 미치는 요인분석
김다양 ( Da Yang Kim ),곽진미 ( Jin-mi Kwak ),서은원 ( Eun-won Seo ),이광수 ( Kwang-soo Lee ) 한국보건행정학회 2016 보건행정학회지 Vol.26 No.4
Background: This study purposed to analyze the relationship between regional obesity rates and regional variables. Methods: Data was collected from the Korean Statistical Information Service (KOSIS) and Community Health Survey in 2012. The units of analysis were administrative districts such as city, county, and district. The dependent variable was the age-sex adjusted re gional obesity rates. The independent variables were selected to represent four aspects of regions: health behaviour factor, psycho logical factor, socio-economic factor, and physical environment factor. Along with the traditional ordinary least square (OLS) regres sion analysis model, this study applied geographically weighted regression (GWR) analysis to calculate the regression coefficients for each region. Results: The OLS results showed that there were significant differences in regional obesity rates in high-risk drinking, walking, de pression, and financial independence. The GWR results showed that the size of regression coefficients in independent variables was differed by regions. Conclusion: Our results can help in providing useful information for health policy makers. Regional characteristics should be consid ered when allocating health resources and developing health-related programs.
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결혼여부와 비만 관련성의 성별 차이 분석: 성향점수매칭방법
김다양 ( Da Yang Kim ),이광수 ( Kwang Soo Lee ) 한국보건경제정책학회(구 한국보건경제학회) 2015 보건경제와 정책연구 Vol.21 No.2
전 세계적으로 중요한 건강문제로 대두된 비만은 사회경제적인 요인들과 관련이 있다고 알려져 있다. 이에 본 연구는 2012년 국민건강영양조사 자료를 이용하여 결혼여부와 비만의 관련성를 분석하였다. 연구 대상자의 선택적 편의를 줄이기 위해 성향점수 매칭방법을 이용하였으며, 비만에 영향을 미치는 요인들을 공변량으로 사용하였다. 분석 결과 남성의 경우 결혼여부와 비만이 관련성이 있었으며, 결혼한 사람이 하지 않은 사람보다 1.77배 더 비만일 확률이 높았다. 하지만 여성의 경우 둘 간의 관련성이 없는 것으로 나타나 성별에 따라 다른 결과를 보였다. 이러한 결과는 비만 예방 및 관리 사업을 시행할 때 결혼한 남성을 대상으로 타깃 설정 및 차별화된 전략이 필요할 수 있음을 시사하고 있다. Obesity, one of major health problems in Korea, has been known to be associated with socioeconomic factors. The relationship between marital status and obesity has not yet been established. This study was purposed to analyze the relationship between obesity and marital status using 2012 National Health and Nutrition Survey data. Propensity score matching (PSM) was applied to control the selection bias, and factors affecting obesity were used as covariates in PSM. In results, obesity was associated with marital status in male, and married male group showed 1.77 times higher probability of obesity than unmarried group. However, there was no association in female. These finding suggests that health policy makers will need to consider the gender factor in establishing and conducting obesity prevention and control programs.
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병원서비스지역 내 병원자원과 의료서비스 이용 간의 관련성 분석
곽진미 ( Jin Mi Kwak ),김다양 ( Da Yang Kim ),서은원 ( Eun Won Seo ),이광수 ( Kwang Soo Lee ) 한국보건행정학회 2015 보건행정학회지 Vol.25 No.3
Background: This study explored the relationship between hospital resources and services uses in outpatient/inpatient-based hospital service area (HSA) in Korea. Methods: Study hospitals included all acute care hospitals except tertiary hospitals. Inpatient and outpatient hospital claims from the Korean National Health Insurance (NHI) program in 2010 were used to identify the service uses. Hospital resources and the degree of insurance premium in study areas were identified with the NHI corporation data. Study variables were computed by summing the service uses or hospital resources of study hospitals in each HSA. Service uses were represented by the total medical charges and number of visits/inpatient days. Hospital resources were measured by number of beds, number of doctors, and number of computed tomography (CT). The economic status of NHI enrollees in each HSA was controlled by the average monthly premium of NHI program per household in each HSA. The degree of using local hospitals was controlled with the localization index. Results: Analysis results showed that hospital resources such as beds, CT were statistically related to the service uses. And also localization index was found to have positive significant relationships with service uses. Conclusion: Hospital resources such as beds, CT had not only positive impacts on inpatient service uses, but also influences on the outpatient setting. Health policy makers will require monitoring and assessing the hospital resources in Korea.
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서은원 ( Eun Won Seo ),곽진미 ( Jin Mi Kwak ),김다양 ( Da Yang Kim ),이광수 ( Kwang Soo Lee ) 한국보건행정학회 2015 보건행정학회지 Vol.25 No.4
Background: Suicide is one of important health problems in Korea. Previous studies showed factors associated with suicide in individual levels. However, suicide was influenced by society that individuals belong to, so it was required to analyze suicide in local levels. The purpose of this study was to analyze the regional disparities of suicide mortality by gender and the association between local characteristics and suicide mortality. Methods: This study included 229 city·county·district administrative districts in Korea. Age- and sex-standardized suicide mortality and age-standardized suicide mortality (male/female) were used as dependent variables. City·county·district types, socio-demographics (number of divorces per 1,000 population, number of marriages per 1,000 population, and single households), financial variable (financial independence), welfare variable (welfare budget), and health behavior/status (perceived health status scores and EuroQol-5 dimension [EQ-5D]) were used to represent the local characteristics. We used hot-spot analysis to identify the spatial patterns of suicide mortality and negative binomial regression analysis to examine factors affecting suicide mortality. Results: There were differences in distribution of suicide mortality and hot-spot regions of suicide mortality by gender. Negative binomial regression analysis provided that city·county·district types (city), number of divorces per 1,000 population, financial independence, and EQ-5D had significant influences on the age- and sex-standardized suicide mortality per 100,000. Factor influencing suicide mortality was the number of divorces per 1,000 population in both male and female. Conclusion: Study results provided evidences that suicide mortality among regions was differed by gender. Health policy makers will need to consider gender and local characteristics when making policies for suicides.
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