Literature DB >> 24964610

[Study on the relationship between dietary patterns and metabolic syndrome among urban residents in Zhejiang province].

Ronghua Zhang, Biao Zhou, Zhefang Hu, Lichun Huang, Gangqiang Ding.   

Abstract

OBJECTIVE: To analyze the relationship between dietary patterns and metabolic syndrome in urban residents in Zhejiang Province.
METHODS: We undertook a cross-sectional survey based on the data from "China National Nutrition and Health Status Monitoring". Factor analysis was used to identify food patterns based on the frequency of food and unconditional logistic regression model was used to estimate adjusted odd ratios (OR) and 95% confidence intervals (95% CI) between MS including its components and dietary patterns.
RESULTS: Three evident dietary patterns were derived by factor analysis in these 2116 participants including "animal food pattern" (35.68%), "plant food pattern" (31.00%) and "sea food pattern" (33.32%). Increased risks of abdominal obesity, hypertriglyceridemia, hypertension, hyperglycemia and MS were associated with animal food pattern, while plant food pattern play an important role to prevent against lowing HDL cholesterol. An inversed association with the risks of abdominal obesity, low HDL cholesterol and hypertension were seen in the pattern of sea food.
CONCLUSION: The relationship between three kinds of dietary pattern and MS was complicated and characteristic, so it's not appropriate to emphasize some kind of food pattern or certain food, varieties of food will help to reduce the risk of MS and its components.

Entities:  

Mesh:

Year:  2014        PMID: 24964610

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


  2 in total

1.  Association Between Nutrient Patterns and Hypertension Among Adults in the United States: A Population-Based Survey.

Authors:  Mohsen Mazidi; Richard Ofori-Asenso; Elena S George; Hassan Vatanparast
Journal:  High Blood Press Cardiovasc Prev       Date:  2020-03-18

2.  Association between Dietary Patterns and the Risk of Hypertension among Chinese: A Cross-Sectional Study.

Authors:  Pei-Fen Zheng; Long Shu; Xiao-Yan Zhang; Cai-Juan Si; Xiao-Long Yu; Wei Gao; Xiao-Qing Tong; Lun Zhang
Journal:  Nutrients       Date:  2016-04-23       Impact factor: 5.717

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.