Objective: To compare the disease burden of diet-related chronic diseases in China between 1990 and 2016.
Methods: Based on the Global Burden of Disease 2016, we extracted the absolute number of deaths and disability-adjusted life years( DALYs) of diet-related chronic diseases and the corresponding age-standardized rates in China in 1990 and 2016. Subgroup analyses were conducted in various gender, dietary risk factors and categories of diseases.
Objective: To assess the situations of dietary microelements intakes among elderly people in different areas of Zhejiang Province, and analyze the food sources of microelements.
Methods: Data were obtained from the 2010-2012 Chinese National Nutrition and Health Survey in Zhejiang Province. 832 elderly people( 434 male, 398 female, age was( 68.
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.
Animal studies have suggested that Mn might be associated with some components of the metabolic syndrome (MetS). A few epidemiological studies have assessed dietary Mn intake and its association with the risk of the MetS and its components among Chinese adults. In this study, we assessed daily dietary Mn intake and its relationship with MetS risk among Chinese adults in Zhejiang Province using data from the 5th Chinese National Nutrition and Health Survey (2010-2012).
View Article and Find Full Text PDFObjective: To analysis the status of dietary protein intake of urban residents in Zhejiang Province.
Methods: Dietary nutrients intake was estimated using the method of 3 day 24-hour dietary recall and food weighted record, 3452 residents who above 2-year-older were recruited in 2009 - 2011, and calculating the daily intake of food, protein and amino acid, analyzing the protein intake combined with demographic information.
Results: 3240 residents were included in this analysis, the residents with protein intake lower than 80% of the RNI accounted for 34.