• Title/Summary/Keyword: 유병율

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Nutritional Status and Constipation Rate among Female College Students Practicing Weight Control (다이어트를 하고 있는 여대생들의 변비유병율과 식이섭취상태)

  • Lee, Hyeran;Shin, Yoonjin;Kim, Yangha
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.41 no.12
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    • pp.1734-1739
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    • 2012
  • This study was conducted to investigate the effects of diet on the nutritional status and constipation rate of female college students. A total of 251 female college students living in Gyeonggi province participated in this study. Dietary intake was ascertained from a 3-day dietary record, including 2 weekdays and 1 weekend day. Anthropometrics, general characteristics, diet experiences, dietary habits and prevalence of constipation were analyzed using a questionnaire. The subjects were divided into two groups, a control group (n=165, 46.2%) and a diet group (n=135, 53.8%). There was no significant difference in age, height, weight or BMI between groups. The prevalence of constipation was higher in the diet group than the control group. The intakes of energy, dietary fiber and water of the diet group were significantly lower than those of the control group. Correlation analysis revealed that the prevalence of constipation was negatively associated with exercise score, dietary fiber intake and water intake. It is postulated that dietary habits might be important factors contributing to constipation. Accordingly, nutrition education aimed to improve intakes of fiber and water may be necessary during weight control periods.

Financial Projection for National Health Insurance using NHIS Sample Cohort Data Base (국민건강보험 표본코호트 DB를 이용한 건강보험 재정추계)

  • Park, Yousung;Park, Haemin;Kwon, Tae Yeon
    • The Korean Journal of Applied Statistics
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    • v.28 no.4
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    • pp.663-683
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    • 2015
  • The change of the population pyramid due to low fertility and rapid aging threatens the financial sustainability of National Health Insurance. We construct statistical models for prevalence rates and medical expenses using National Health Insurance Service (NHIS) sample cohort data from 2002-2013. We then project yearly expenditures and income of national health insurance until 2060 that considers various assumptions in regards to future population structure and economic conditions. We adopt a VECM-LC model for prevalence rates and the double exponentially smoothing method for the per capita co-payment of healthcare expense (in which the two models are institution-disease-sex-age specific) to project of national health insurance expenditures. We accommodate various assumptions of economic situations provided by the national assembly and government to produce a financial projection for national health insurance. Two assumptions of dependents ratios are used for the projection of national health insurance income to conduct two future population structures by the two assumptions of aging progresses and various assumptions on economic circumstances as in the expenditure projection. The health care deficit is projected to be 20-30 trillion won by 2030 and 40-70 trillion won by 2060 in 2015 constant price.