{"title":"中国居民膳食结构对健康水平的影响分析","authors":"M. Qin, Xiuli Liu","doi":"10.2991/MASTA-19.2019.71","DOIUrl":null,"url":null,"abstract":"We used the DEA cross-efficiency method to explore the health effects of provincial differences in dietary patterns in China. The result showed that for the group aged 0-14, Inner Mongolia and Guizhou provinces rank the top, and children in Zhejiang province should add more dairy products and eggs in the diet; For the group aged 15-64, there are fewer differences between provinces, but it generally shows high calorie and high protein intake among them; For the group aged over 64, Shanghai and Tianjin provinces are low-ranking, and old people in Shanghai province should reduce the egg intake while those in Tianjin province should have more vegetable and meat intake.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of the Influence of Dietary Pattern on the Health Level of Residents in China\",\"authors\":\"M. Qin, Xiuli Liu\",\"doi\":\"10.2991/MASTA-19.2019.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We used the DEA cross-efficiency method to explore the health effects of provincial differences in dietary patterns in China. The result showed that for the group aged 0-14, Inner Mongolia and Guizhou provinces rank the top, and children in Zhejiang province should add more dairy products and eggs in the diet; For the group aged 15-64, there are fewer differences between provinces, but it generally shows high calorie and high protein intake among them; For the group aged over 64, Shanghai and Tianjin provinces are low-ranking, and old people in Shanghai province should reduce the egg intake while those in Tianjin province should have more vegetable and meat intake.\",\"PeriodicalId\":103896,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/MASTA-19.2019.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/MASTA-19.2019.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the Influence of Dietary Pattern on the Health Level of Residents in China
We used the DEA cross-efficiency method to explore the health effects of provincial differences in dietary patterns in China. The result showed that for the group aged 0-14, Inner Mongolia and Guizhou provinces rank the top, and children in Zhejiang province should add more dairy products and eggs in the diet; For the group aged 15-64, there are fewer differences between provinces, but it generally shows high calorie and high protein intake among them; For the group aged over 64, Shanghai and Tianjin provinces are low-ranking, and old people in Shanghai province should reduce the egg intake while those in Tianjin province should have more vegetable and meat intake.