The Influence of Community Characteristics on Food Insecurity Korean Adults / 보건행정학회지

BACKGROUND: This study was conducted to analyze the influence of socioeconomic characteristics of community on the food insecurity under the control of personal socioeconomic factors which may be influence to the food security. METHODS: Food insecurity and individual socioeconomic characteristics were obtained from 2012 community health survey. Socioeconomic characteristics of communities were extracted from the data of Statistics Korea and local governments. Personal socioeconomic factors were sex, age, educational status, job, and monthly family income. Socioeconomic characteristics of communities were administrative district (urban vs. rural), senior population rate, degree of financial self reliance, degree of financial independence, portion of welfare budget, number of welfare facilities, and unemployment rate. We analysed the relationships between the food insecurity and socioeconomic characteristics of community using multi-level analysis under the control of personal characteristics. RESULTS: On personal level age, sex, education status, and monthly family income were related with food insecurity. On community level administrative district (urban vs. rural), degree of financial independence, unemployment rate, and proportion of welfare budget among local general government accounts were related to individual food insecurity. Rural area, district with low levels of financial independence, low portion of welfare budget, and greater unemployment rate showed a higher level of food insecurity. CONCLUSION: To reduce the level of food insecurity in a community it is necessary to decrease the unemployment rate, in addition to providing support from the central government by increasing the proportion of the welfare budget so that both factors contribute to raising the degree of financial independence.

Factors Affecting the Validity of Self-Reported Data on Health Services from the Community Health Survey in Korea

PURPOSE: As a follow-up for the validity study of Community Health Surveys (CHSs), the purpose of this study was to evaluate the factors affecting the accuracy of CHSs by investigating subjects' characteristics. MATERIALS AND METHODS: We used data from 11,217 participants (aged 19 years or older) who had participated in the CHS, conducted by a local government in 2008 and analyzed the variables affecting the sensitivity and specificity of hospitalization and outpatient visit. RESULTS: Multivariate logistic regression analysis showed that, factors related with the sensitivity of hospitalization and outpatient visit questions were gender, age, marital status, chronic diseases, medical checkup, the subjective health status and necessary medical services. Factors related with the specificity were gender, marital status, educational background, chronic diseases, medical checkup, alcohol consumption, necessary medical services and sadness. CONCLUSION: This study revealed the subject-related factors associated with the validity of the CHS. Efforts to improve the sensitivity and the specificity from self-report questionnaires should consider how the characteristics of subjects may affect their responses.

Validity of Self-reported Healthcare Utilization Data in the Community Health Survey in Korea

To evaluate the sensitivity and specificity of Community Health Survey (CHS), we analyzed data from 11,217 participants aged > or = 19 yr, in 13 cities and counties in 2008. Three healthcare utilization indices (admission, outpatient visits, dental visits) as comparative variables and the insurance benefit claim data of the Health Insurance Review & Assessment Service as the gold-standard were used. The sensitivities of admission, outpatient visits, and dental visits in CHS were 54.8%, 52.1%, and 61.0%, respectively. The specificities were 96.4%, 85.6%, and 82.7%, respectively. This is the first study to evaluate the validity of nationwide health statistics resulting from questionnaire surveys and shows that CHS needs a lot of efforts to reflect the true health status, health behavior, and healthcare utilization of the population.