Socioeconomic differences among community-dwelling diabetic adults screened for diabetic retinopathy and nephropathy: The 2015 Korean Community Health Survey

Background: This study aimed to determine whether the levels of healthcare indicators vary according to the duration of diabetes in diabetic people.Methods: From the 2018 Korean Community Health Survey, a total of 20,113 diabetic people aged 40-79 years were analyzed. The distribution of people with diabetes and its corresponding diabetes duration were as follows: 34.9%, less than 4 years; 22.4%, 5-9 years; 18.9%, 10-14 years; 9.4%, 15-19 years; and 14.1%, more than 20 years. Outcome variables included eight health behavior indicators and seven diabetes management indicators.Results: After adjusting for the sociodemographic characteristics, the longer the duration of diabetes, the less alcohol drinking and the more influenza vaccination was availed, whereas the regular tooth brushing, perceived usual stress, and perceived depressive symptoms tended to be unhealthy. Smoking, regular walking, and utilizing food nutrition label did not differ based on the duration of diabetes. Moreover, blood glucose control was evaluated to be poorly controlled as the duration of diabetes lengthened; however, diabetes management education and medical institution services (glycated hemoglobin measurement, diabetic retinopathy screening, and diabetic nephropathy screening) tended to increase significantly. There was also no difference in relation to diabetes duration in the recognition of early symptoms of myocardial infarction and stroke, which are the major complications of diabetes.Conclusions: People with long-lasting diabetes are at a higher risk of developing diabetes-related complications; therefore, more active community strategies are needed to improve their health behavior.

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Study on construction of comprehensive community health databases through linkage between Community Health Survey data and other community contextual indicators in Korea

International Journal for Population Data Science ◽

10.23889/ijpds.v3i4.1027 ◽

2018 ◽

Vol 3 (4) ◽

Author(s):

Dong-Hyun Kim

Keyword(s):

Health Outcomes ◽

Community Health ◽

Health Survey ◽

Clinical Care ◽

Health Indicators ◽

Nationwide Survey ◽

Health Status Indicators ◽

Community Dwelling ◽

Health Determinants ◽

Community Health Survey

IntroductionSince 2008, Korea Centers for Disease Control and Prevention have performed nationwide survey, Korea Community Health Survey(K-CHS) annually, to collect information on pervalences of smoking, drinking, physical activity, obesity, diet, oral health, and other health-related activities among randomly selected community-dwelling residents aged 19 years or over in ~250 administrative districts(Si-gun-gu). Objectives and ApproachThis study aims to build comprehensive data library through leakage of area-based data collected from K-CHS and other community contextual health indicators from various government databases. For this purpose, we reviewed other databanks on community status health indicators comprehensively and tried to search linkage information from the related national public database. ResultsWe reviewed the community health model, which is theoretically and empirically proven in other studies and tried to propose health determinants of community health through population health perspectives. We collected information on health outcomes of each community, measured by overall mortality and self-rated health. We also assessed health determinants, measured in five domains including social network, health behaviors, clinical care, social and economic factors, and physical environment. Childhood environment was dealt briefly. Geo-coded data on selected core indicators were collected for each domain and the validity, reliability, sensitivity, and robustness of these measures was evaluated. We constructed comprehensive databases through linkage of health outcomes and health determinants. We also suggested summary sheet template, comprizing comprehensive community health status indicators. Conclusion/ImplicationsIn conclusion, we anticipate evidence-based community health intervention and evaluation of its performance through utilizing comprehensive databases on community health.

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