Research on the Correlation between Major Non-medical Determinants of Health and Health Status Based on OECD Database
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    Abstract:

    According to data released by the World Health Organization, ischemic heart disease, stroke, chronic obstructive pulmonary disease, Alzheimer's disease, tracheobronchial and lung cancer and diabetes are the top 6 causes of death in the world. This paper was based on 7 Economic Cooperation Organization(OECD) indicators related to non-medical determinants of health [Total fat supply (X1), Total calorie supply (X2), Total protein supply (X3), Sugar supply (X4), Vegetables supply (X5), Fruits supply (X6) and Alcohol consumption (X7)] and 6 indicators related to health status [Ischemic heart diseases mortality (Y1), Chronic obstructive Pulmonary diseases mortality (Y2), Alzheimer's disease mortality (Y3), Malignant neoplasms of trachea, bronchus, lung mortality (Y4), Diabetes mellitus mortality (Y5), Life expectancy (Y6)] from 2000 to 2013. Data from the top 10 countries in the OECD database were selected for multiple regression analysis using 6 indicators related to health status, including Y1, Y2, Y3, Y4, Y5 and Y6, and indicators related to non-medical determinants of health, including X1, X2, X3, X4, X5, X6 and X7. The results showed that the X7 was positively correlated with Y4 and negatively correlated with Y1 and Y5, and the coefficients were all greater than 1. It showed that alcohol consumption will increase the mortality rate of malignant neoplasms of trachea, bronchus, lung, but would significantly reduce the mortality rate of ischemic heart disease and Diabetes mellitus. X1 and X4 were significantly positively correlated with Y1, and the coefficients were both greater than 1, which indicating that total fat supply and sugar supply would increase the mortality rate of ischemic heart disease. Other health-related non-medical determinants, some of which were eliminated in stepwise regression, and the coefficients that were not eliminated were all less than 1, which had little influence on the change of Y value.

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  • Online: December 17,2021
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