Analysis of the Influence of Dietary Pattern on the Health Level of Residents in China

DOI

10.2991/masta-19.2019.71How to use a DOI?

Keywords

Dietary pattern, Health level, DEA, Provincial differences

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming-hui Qin
AU  - Xiu-li Liu
PY  - 2019/07
DA  - 2019/07
TI  - Analysis of the Influence of Dietary Pattern on the Health Level of Residents in China
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 420
EP  - 423
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.71
DO  - 10.2991/masta-19.2019.71
ID  - Qin2019/07
ER  -