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

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.

scholarly journals Population health indicators across Ontario’s Public Health Units: a cross-sectional analysis of the Canadian Community Health Survey

2021 ◽  
Vol 64 (3) ◽  
pp. 68-78
Author(s):  
Suman Kanoatova ◽  
Eric N. Liberda ◽  
M. Anne Harris
Keyword(s):  
Public Health ◽  
Community Health ◽  
Health Survey ◽  
Health Indicators ◽  
Health Inequities ◽  
Canadian Community Health Survey ◽  
Health Programs ◽  
Cross Sectional ◽  
Public Health Programs ◽  
Community Health Survey

Background Currently, 34 public health units (PHUs) in Ontario deliver public health programs and services to reduce preventable diseases, promote and protect health of their communities, and reduce persistent health inequities. Changes to the structure of Ontario PHUs have been proposed. This analysis compares the current 34 Ontario PHUs based on key health indicators for the purpose of determining local health needs in delivering public health programs and as a baseline for measuring the effect of any future changes to PHU structure. Methods We used data from the 2015–2016 Canadian Community Health Survey (CCHS), a voluntary cross-sectional survey about health status of Canadians. Twenty-one health indicators measured by the CCHS and particularly relevant to PHU responsibilities were identified and compared across units. In this descriptive, cross-sectional analyses we used survey-weighted frequency calculations of the selected indicator variables by PHU and χ2 analyses to test differences in indicator distribution across PHU. Results All indicators except for sex were distributed unevenly by PHU. We particularly highlight differences across units in modifiable indicators and risk factors such as obesity, fruit and vegetable consumption, physical inactivity, smoking, and access to primary care physicians. Impact of the study While all PHUs strive towards the same mandated responsibilities, considerable variations in health indicators exist between health units. This underscores the necessity for PHUs to tailor programs and deliver services based on local needs. Future changes to PHU structure must be tested against baseline to determine if they ameliorate or exacerbate health inequities in Ontario.

scholarly journals Differences in the Level of Health Care Indicators According to the Duration of Diabetes among Community-Dwelling People with Diabetes Mellitus: Analysis of the 2018 Community Health Survey in Korea

2020 ◽  
Vol 20 (3) ◽  
pp. 91-101
Author(s):  
Mina Kim ◽  
Young-Hoon Lee
Keyword(s):  
Health Behavior ◽  
Community Health ◽  
Health Survey ◽  
Diabetes Management ◽  
Blood Glucose Control ◽  
Community Dwelling ◽  
Diabetes Duration ◽  
Duration Of Diabetes ◽  
Diabetic Retinopathy Screening ◽  
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.

scholarly journals Association Between Age and Sleep Quality: Findings From a Community Health Survey

2021 ◽  
Vol 12 (2) ◽  
pp. 155-160
Author(s):  
Minjung Kim ◽  
Yoo-Hyun Um ◽  
Tae-Won Kim ◽  
Sung-Min Kim ◽  
Ho-Jun Seo ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Community Health ◽  
Health Survey ◽  
Age Groups ◽  
Nationwide Survey ◽  
Mean Values ◽  
Significant Difference ◽  
Community Health Survey ◽  
Control And Prevention ◽  
One Way Anova

Background and Objective This study aimed to investigate the changes in sleep quality with increasing age and the effect of age on the components of the Pittsburgh Sleep Quality Index (PSQI).Methods We used data from the Community Health Survey conducted by the Korea Center for Disease Control and Prevention in 2018. A total of 228340 participants in this nationwide survey. Sleep quality was assessed using the PSQI. Adults aged ≥ 19 years were divided into six age groups and one-way analysis of variance (one-way ANOVA) was used to compare the mean values of PSQI of each group. By comparing the scores for each PSQI component in those aged ≥ 65 years and < 65 years, we aimed to reveal the differences in special components according to age group.Results In total, 223334 respondents were included in the study. Based on a one-way ANOVA, the PSQI score generally increased with age. Although the average PSQI score of patients in their 40s was lower than that of patients in their 30s, there was no significant difference between the two groups (p = 0.11). When the PSQI component was compared between the population aged over and under 65 years, the population aged ≥ 65 years scored higher in most components. In contrast, daytime dysfunction scored higher in the population aged < 65 years.Conclusions Sleep quality tends to decrease with increasing age. Several factors, including physiological changes, underlying physical conditions, and psychosocial factors, may contribute to a decrease in sleep quality with age.

Sign in / Sign up

Export Citation Format

Share Document