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Data Profile
Data resource profile: the Korean Community Health Status Indicators (K-CHSI) database
Hye-Eun Lee, Yeon-gyeong Kim, Jin-Young Jeong, Dong-Hyun Kim
Epidemiol Health. 2023;45:e2023016.   Published online February 2, 2023
DOI: https://doi.org/10.4178/epih.e2023016
  • 5,915 View
  • 128 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
Korean Community Health Status Indicators (K-CHSI) is a model-based database containing annual data on health outcomes and determinants at the municipal level (<i>si/gun/gu</i>-level regions, including mid-sized cities, counties, and districts). K-CHSI’s health outcomes include overall mortality, disease incidence, prevalence rates, and self-reported health. Health determinants were measured in 5 domains: socio-demographic factors, health behaviors, social environment, physical environment, and the healthcare system. The data sources are 71 public databases, including Causes of Death Statistics, Cancer Registration Statistics, Community Health Survey, Population Census, and Census on Establishments and Statistics of Urban Plans. This dataset covers Korea’s 17 metropolitan cities and provinces, with data from approximately 250 municipal regions (<i>si/gun/gu</i>). The current version of the database (DB version 1.3) was built using 12 years of data from 2008 to 2019. All data included in K-CHSI may be downloaded via the Korea Community Health Survey site, with no login requirement (https://chs.kdca.go.kr/chs/recsRoom/dataBaseMain.do). K-CHSI covers extensive health outcomes and health determinants at the municipal level over a period of more than 10 years, which enables ecological and time-series analyses of the relationships among various health outcomes and related factors.
Summary
Korean summary
지역사회 건강관련요인 데이터베이스는 17개 광역시도와 약 250개 시군구의 건강 결과 및 결정 요인에 대한 연간 데이터를 포함하는 모델 기반 데이터베이스이다. 본 데이터베이스의 건강 결과에는 사망률, 질병 발생률, 유병률, 자가 보고 건강상태 등이 포함되며 건강 결정 요인은 인구사회학적 환경, 건강 행태, 사회적 환경, 물리적 환경, 보건의료 체계의 5개 영역으로 구성되었다. 데이터는 질병관리청 지역사회건강조사 사이트에서 로그인 없이 다운로드할 수 있다(https://chs.kdca.go.kr/chs/recsRoom/dataBaseMain.do).
Key Message
Korean Community Health Status Indicators (K-CHSI) is a model-based database containing annual data on health outcomes and determinants from 17 metropolitan cities and provinces, with data from approximately 250 municipal regions (si/gun/gu). K-CHSI’s health outcomes include overall mortality, disease incidence, prevalence rates, and self-reported health. Health determinants were measured in 5 domains: socio-demographic factors, health behaviors, social environment, physical environment, and the healthcare system. The data included in K-CHSI may be downloaded via the Korea Community Health Survey site, with no login requirement (https://chs.kdca.go.kr/chs/recsRoom/dataBaseMain.do).
Original Article
Associations of regional-level perceived stress and depression with health-related quality of life in Korean adults: a multilevel analysis of 2017 Korea Community Health Survey data
Eunsu Kim, Min-Ho Shin, Jung-Ho Yang, Soon-Ki Ahn, Baeg-Ju Na, Hae-Sung Nam
Epidemiol Health. 2021;43:e2021062.   Published online September 8, 2021
DOI: https://doi.org/10.4178/epih.e2021062
  • 11,088 View
  • 276 Download
  • 1 Web of Science
  • 4 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
We examined the associations of individual and regional-level perceived stress and depression with health-related quality of life (HRQOL) in Korean adults.
METHODS
We used data from the 2017 Korea Community Health Survey, which included 216,713 adults living within 254 municipal districts. As individual-level independent variables, perceived stress (higher vs. lower) and depression (Patient Health Questionnaire-9 ≥10) were defined. Regional-level age-adjusted rates of perceived stress (%) and depression (%) were created for 254 municipal districts and categorized into quartiles to generate regional levels of stress and depression. HRQOL was defined as the individual-level EuroQol 5-dimensional index×100. A multilevel analysis was performed to identify the relationship between individual or regional-level independent variables and individual HRQOL.
RESULTS
In the null model, the proportions of individual variation in the HRQOL explained by region were 1.7% and 2.7% for men and women, respectively. When adjusted with all individual-level variables, regional stress and depression, as well as individual-level perceived stress and depression, were significantly related to HRQOL for both genders. In the full model including all variables, the decrease in HRQOL from the first to the fourth quartile group of regional stress was greater in women (-1.09; 95% confidence interval [CI], -1.87 to -0.31) than in men (-0.65; 95% CI, -1.04 to -0.26).
CONCLUSIONS
Our results suggest that regional-level perceived stress and depression, as well as individual-level perceived stress and depression, are inversely associated with individual HRQOL.
Summary
Korean summary
시군구 단위 스트레스 인지율과 우울 유병률이 개인 단위 건강관련 삶의 질 수준과 연관성을 갖는지 파악하고자 지역사회건강조사 자료를 이용하여 다수준 분석을 수행하였다. 개인 수준에서 인지된 스트레스와 우울은 건강관련 삶의 질 감소와 관련이 있었다. 스트레스와 우울 수준이 높은 시군구일수록 개인의 건강관련 삶의 질은 낮아지는 관계를 보였는데, 이는 남성보다는 여성에서 더 저명하였다.
Key Message
This study examined the associations of regional-level perceived stress and depression with individual HRQOL measured in terms of the EQ-5D using a multilevel model. Individual-level perceived stress and depression were significantly related to individual HRQOL. Regional stress and depression were also significant factors and both had greater negative impacts on HRQOL among women than among men.

Citations

Citations to this article as recorded by  
  • Factors Related to Health-Related Quality of Life across the Life Cycle in One-Person Households among Korean Adults
    Myung-Ock Chae
    Research in Community and Public Health Nursing.2024; 35: 125.     CrossRef
  • Association between seafood intake and depression in Korean adults: analysis of data from the 2014–2020 Korea National Health and Nutrition Examination Survey
    Hyemin Shin, Won Jang, Yangha Kim
    Journal of Nutrition and Health.2023; 56(6): 702.     CrossRef
  • Depression before and during-COVID-19 by Gender in the Korean Population
    Won-Tae Cha, Hye-Jin Joo, Yu-Shin Park, Eun-Cheol Park, Soo-Young Kim
    International Journal of Environmental Research and Public Health.2022; 19(6): 3477.     CrossRef
  • Association Between Regional Levels of Particulate Matter and Recurrent Falls in Korea
    Jung-Ho Yang, Ji-An Jeong, Sun-Seog Kweon, Min-Ho Shin
    Journal of Korean Medical Science.2022;[Epub]     CrossRef

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