Biography
Chang Su has completed his PhD from Chinese Center for Disease Control and Prevention (Chinese CDC) in 2010. He is currently an Associate Professor of Public Nutrition at the Chinese CDC. He has authored and co-authored more than 50 articles in peer-reviewed journals.
Abstract
In the past few decades, China has experienced the largest human migration in the world, leading to an increase of the proportion of China’s population classified as urban from 21% in 1982 to 51% in 2011. Rapid urbanicity is associated with an increase in adverse health consequences. In the Chinese population, a relatively low percentage of adults consumed diets with high fat intake 20 years ago, while the proportion of high fat consuming adults has been rising recently. The most determinants of dietary fat intake and the mainstream thought were based on individual-level aspects, such as taste preferences, personal eating habits, nutrition knowledge, income levels, age, gender, education levels and self-efficacy. However, these individual level factors were found to explain only a small portion of the variance in dietary fat intakes. Understanding the effect that community levels have on population’s dietary fat intake is an area of recent interest, but these researches mainly focus on crude urban-rural comparisons or on population from developed countries. A traditional classification of urban/rural status likely does not adequately capture enormous social and environmental change, particularly in contexts of rapid urbanicity in China. Therefore, understanding the temporal trends in dietary fat and investigated the effect of urabanicity on dietary fat intake in Chinese adults in the last two decades is very important.
Biography
Abstract
Background: Neurological patients are at increased risk of protein energy malnutrition. Causes of malnutrition include difficulties on oral process (chewing, swallowing inabilities), food rejection or malabsorption and etc. The purpose of this study is to reach detailed data about nutritional issues of neurological diseases based on etiological aspects. Methods: Our oral nutrition data base reviewed retrospectively for last one year. Demographic and anthropometric properties of patients are documented. Results: We reached full record of total 30 patients. Male/Female ratio was 20/10. Mean age was 77.3 years old (range of age: 44-95 years). Maximum duration of follow-up is 1 year and minimum is 3 months. Distributions of diseases are as follows: 36.6% Alzheimer’s disease, 10% Parkinson’s disease, 33.3% stroke and 20.1% motor neuron disease. Mean weight was found 60.9 kilograms (range of weight: 30-80 kilograms) initially and it was found 72.3 kilograms (range of weight: 35-82 kilograms (p<0.05) three months later. All nutrition products were used orally (17% was diabetic; the others were protein-rich products). Mean calorie intake was 900 kcal per/day for one patient.