Literature DB >> 29903221

[Analysis on the dietary survey results of 60 years old and over population in different economic area of Zhejiang Province in 2010-2012].

Dong Zhao1, Lichun Huang1, Danting Su1, Wei Wang1, Yueqiang Fang1, Wei Gu1, Enshan Huang1, Ronghua Zhang1.   

Abstract

OBJECTIVE: To analyze the dietary energy and pattern of the elderly in different economic area of Zhejiang Province.
METHODS: Data was from Chinese National Nutrition and Health Survey from 2010 to 2012 in Zhejiang Province. The 24 h dietary recall method for 3 consecutive days was used in dietary survey and weighing method was used for condiment intake.
RESULTS: There were 793 elderly( age≥60 years) attended in the survey. The intake of beans and nuts, fish and shrimps, eggs, cereals and vegetables respectively were 30. 26, 54. 07, 20. 56, 300. 27 and 277. 78 g. The livestock and poultry meat( 92. 69 g), salt( 9. 14 g), and cooking oil( 33. 60 g) intake was higher than that recommended. Dietary pattern of the urban was better than that of the rural areas. The proportion of energy providing in protein and fat was 14. 17% and 34. 46%, respectively. The proportion of protein from grain and animal food was 31. 51% and 37. 48%. The proportion of fat from plant food was 66. 44%.
CONCLUSION: The major problems areirregular diet, imbalanced diet, and unreasonable food sources of protein in Zhejiang province. Because the level of each localities economic development is different, each region's dietary problems are different. We need to research in different areas to analyze specific issues of nutrition interventions, and improving the elders' life quality.

Entities:  

Keywords:  dietary pattern; elder; fat; protein

Mesh:

Year:  2018        PMID: 29903221

Source DB:  PubMed          Journal:  Wei Sheng Yan Jiu        ISSN: 1000-8020


  1 in total

1.  Trends and Associated Factors of Dietary Knowledge among Chinese Older Residents: Results from the China Health and Nutrition Survey 2004-2015.

Authors:  Shizhen Wang; Ying Yang; Runhu Hu; Hongfei Long; Ni Wang; Quan Wang; Zongfu Mao
Journal:  Int J Environ Res Public Health       Date:  2020-10-31       Impact factor: 3.390

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.