[논문]생활인구와 지역의 건강결과 간 관계 분석: 서울특별시를 중심으로

강제구; 남은우; 원영주; 장한솔; 이광수

doi:10.4332/kjhpa.2024.34.3.282

[국내논문] 생활인구와 지역의 건강결과 간 관계 분석: 서울특별시를 중심으로
Relationship between Living Population and Regional Health Outcome: Focused on Seoul Metropolitan City 원문보기

Health policy and management = 보건행정학회지, v.34 no.3, 2024년, pp.282 - 292

강제구 (연세대학교 일반대학원 보건행정학과) , 남은우 (연세대학교 일반대학원 보건행정학과) , 원영주 (연세대학교 일반대학원 보건행정학과) , 장한솔 (연세대학교 일반대학원 보건행정학과) , 이광수 (연세대학교 일반대학원 보건행정학과)

초록
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연구배경: 본 연구는 서울의 인구이동 특성을 반영할 수 있는 생활인구와 지역의 건강결과 간 관계를 파악하는 것을 목적으로 한다. 방법: 본 연구에서는 통계청 마이크로데이터 통합서비스의 사망원인통계 원시자료를 사용하였다. 독립변수인 생활인구를 파악하기 위해 KT 통신사(Korean Telecom)에서 제공하고 있는 서울시 25개 자치구의 생활인구 데이터를 활용하였다. 통제변수는 SDoH (social determinants of health)의 네 가지 영역(경제적 안정, 의료접근성 및 품질, 이웃 및 건축환경, 사회 및 커뮤니티 연결)을 기반으로 하였다. 이후 패널 generalized estimating equations (GEE) 분석을 통해 생활인구와 지역의 건강결과 간 관계를 확인하였다. 결과: 패널 GEE 분석결과 모든 사망 관련 건강결과(회피 가능 사망률, 예방 가능 사망률, 치료 가능 사망률)는 생활인구와 통계적으로 유의미한 음(-)의 관계가 있었다. 이는 생활인구의 증가가 사망 관련 건강결과에 긍정적인 영향을 미친다는 것을 시사하는 결과이다. 결론: 지역의 건강결과와 인구밀도 사이에 유의미한 관계가 있음을 확인한 것은 지역의 건강격차 완화를 목표로 하는 정책 개발의 핵심 지표로써 생활인구지표를 사용해야 함을 강조하는 결과이다. 또한 본 연구결과는 생활인구가 적은 지역을 중심으로 지역의 인프라를 전략적으로 확장해야 함을 시사한다.

Abstract ▼ AI-Helper

Background: This study aimed to identify the relationship between regional health outcomes and the living population, which may reflect the characteristics of population migration in Seoul. Methods: This study used raw data on cause of death statistics from Statistics Korea's Micro Data Integration Service. To identify the independent variable, the living population, we used living population data provided by Korean Telecom for 25 districts of Seoul. The control variables were based on the four domains of SDoH (social determinants of health; economic stability, healthcare access and quality, neighborhood and built environment, and social and community context). Panel generalized estimating equations (GEE) analysis was used to determine the relationship between living population and regional health outcomes. Results: The panel GEE analysis showed that all mortality-related health outcomes (avoidable, preventable, and treatable mortality) had a statistically significant negative relationship with the living population. This indicated that an increase in living population had a positive effect on mortality-related health outcomes. Conclusion: The identification of a notable relationship between regional health outcomes and population density underscores the utility of incorporating living population metrics as key indicators in the development of policies aimed at mitigating health disparities. Moreover, this finding advocates for strategic expansions of local infrastructure, with a particular emphasis on areas characterized by low living populations.

Keyword

표/그림 (6)

그림 Figure 1. Research model.
표 Table 1. Avoidable mortality rates in 25 districts of Seoul
표 Table 2. Preventable mortality rates in 25 districts of Seoul
표 Table 3. Treatable mortality rates in 25 districts of Seoul
표 Table 4. Descriptive statistics of study variables
표 Table 5. The relation between living population and mortality-related health outcomes

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