• Title/Summary/Keyword: 고령자의료정책

Search Result 22, Processing Time 0.017 seconds

Differences in Intake of Elderly-Friendly Foods according to Oral Health Status of the Elderly (노인의 구강건강상태에 따른 고령친화식품 섭취 차이)

  • Jeon, Ji-Eun;Jung, Eun-Ha;Kim, Soo-Min;Han, Sun-Young
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.12
    • /
    • pp.697-704
    • /
    • 2021
  • This study was conducted to provide data for the development of foods suitable for the level of oral health by analyzing the consumption of elderly-friendly foods according to the oral health status of the elderly. Using data from the health questionnaire, oral examination, and nutrition survey of the 7th National Health and Nutrition Examination Survey, the oral health status and nutritional intake status of the elderly by each stage of elderly-friendly foods were analyzed, and a complex sample analysis method was applied. The elderly who mainly consume stage 3 elderly-friendly foods appear to have very poor oral health and nutritional status. Therefore, when developing elderly-friendly foods, it is necessary to develop various foods and provide systematic education considering the oral health status of the elderly and appropriate nutrients.

The Factors Affecting the Population Outflow from Busan to the Seoul Metropolitan Area (지역별 수도권으로의 인구유출에 영향을 미치는 요인 연구: 부산시 사례를 중심으로)

  • LIM, Jaebin;Jeong, Kiseong
    • Land and Housing Review
    • /
    • v.12 no.2
    • /
    • pp.47-59
    • /
    • 2021
  • This study aims to review the trends of the population outflows in the metropolitan area of Busan and to investigate the factors that affect population out-migration to the Seoul metropolitan area. The following variables are considered for analysis: traditional population movement variables and quality of life variables, such as population, society, employment, housing, culture, safety, medical care, greenery, education, and childcare. The 'domestic population movement data', provided by the MDIS of the National Statistical Office, was used for this research. Out of the total of 57 million population movement data in the period 2012 - 2017, population outmigration from Busan to the Seoul metropolitan area was extracted. Independent variables were drawn from public data sources in accordance with the temporal and spatial settings of the study. The multiple linear regression model was specified based on the dataset, and the fit of the model was measured by the p-value, and the values of Adjusted R2, Durbin-Watson analysis, and F-statistics. The results of the analysis showed that the variables that have a significant effect on population movement from Busan to the Seoul metropolitan area were as follows: 'single-person households', 'the elderly population', 'the total birth rate', 'the number of companies', 'the number of employees', 'the housing sales price index', 'cultural facilities', and 'the number of students per teacher'. More positive (+) influences of the population out-movement were observed in areas with higher numbers of single-person households, lowers proportions of the elderly, lower numbers of businesses, higher numbers of employees, higher numbers of housing sales, lower numbers of cultural facilities, and lower numbers of students. The findings suggest that policies should enhance the environments such as quality jobs, culture, and welfare that can retain young people within Busan. Improvements in the quality of life and job creation are critical factors that can mitigate the outflows of the Busan residents to the Seoul metropolitan area.