Food consumption survey is an essential parts of nutrition surveys. It helps to determine the type and quantity of food consumed, assessing the balance of the diet, the relationship between nutrient intake and health, diseases, and economic status, culture society... There are many methods to investigate food consumption. 24-hour food record is a method that record all food consumed by the subject during previous 24 hours. Using this method in chidren helps to assess the their diet to see if it responses the demand in order to have proper nutrition. Objectives: 1. Calculating the number of each food groups consumed within 24 hours of children 1 to 5 years in Phuoc Vinh ward, Hue City; 2. Assessing the quality of their diet and some related factors. Methodology: A cross-sectional study was implemented on 200 pairs of children aged 1 to 5 and parents or caregivers living in Phuoc Vinh ward, Hue city and some related factors. Results: 82% of the children’s diets covered 4 food groups. Prevalence of glucide, protein, lipide out of the total energy intake were 44.1%, 19.5%, 36.3% respectively within group of 12-<48 months and 50%, 19.5%, 30.6% respectively within group of 48-<72 months. Total energy and protein intake were higher than demanded (p <0.05) while glucide and lipide were lower than demanded (p <0.05). Economical status of family was significant associated with variety of food (all 4 food groups) in the diet of children (p <0.05) and total energy consumed (p <0.05). Conclusion: The children did not have proper nutrition so further research need to be implemented to have suitable interventions. Key words: 24 hours food records, children aged 1 to 5, Hue city.
Background: In undergraduate education, the exploitation of information and use of the Internet in teaching and learning is an indispensable requirement to serve requests renewal of teaching methods of teachers, help students actively in research , seek knowledge, and the means can be used to examine and evaluate the learning outcomes of students. Objectives: 1. Survey on the use of the internet for searching and learning of students; 2. Study the training, guidance for digital resource for students; 3. Understand the factors that affect online documentation of students. Methodology: A cross-sectional study was implemented on 346 students of general doctor from 1st to 6th year. Results: 96.2% of students using internet; 91,6% using internet at home. 79.2% of students owning mobile phones can access the internet. 15.9% of students had been guided, trained for searching online documentation. The limiting factors in finding online materials for students was that did not know how to search online documentation (49.7%), family condition (45.7%), the computer was not connected to the internet (43.4). Conclusion: Searching for online documentation is one of the most essential skills to help medical students get high results. Key words: Internet, online documentation, medical students.
Background: Assessing nutritional status is a common activity of pediatricians and nutritionists. In Vietnam, the National Center for Health Statistics reference had been used from beginning of 1980s. In 2006 World Health Organization recommended to use WHO standards for assessing nutritional status of children. Objectives: 1. Using WHO Anthro software for assessing nutritional status of infants in some precints in Hue City. 2. Finding out the relationship between weight for age, length for age and weight for length. Materials and method: A cross-sectional study was conducted from June 2009 to April 2010. 387 infants who were living in Hue City were involved in the study. The weight, length, age of the infants was measured and others information were collected by interviewing their mothers. WHO anthro software was used to calculate weight for age, length for age and weight for length for assessing their nutritional status. Results: 1. WHO Anthro software helped to assess nutritional status of infants rapidly and conveniently with high accuracy prevalence of underweight, stunting and wasting were 2.84%, 5.68% and 3.61% respectively. 2. There were correlations between weight for age and length for age (r =-0.659, p<0.001); between weight for age and weight for length (r=0.612, p<0.001); between length for age and weight for length (r=0.142, p<0.05). Conclusions: 1. WHO Anthro software is very useful for assessing nutritional status of children. It is very simple, convenience and exact to use this software. It also helps to prevent a common error caused by collectors when counting age of the children. 2. WHO Anthro software displays exact Z-score value in number and in graph. Suggestion: WHO Anthro software is a useful tool for assessing nutritional status of children that should be used widely, especially for demographic and family planning health workers. Key words: WHO Anthro, nutritional status, infants, Hue City.
Background: Nutritional status is a set of functional, structural and biochemical characteristics that reflect the level of nutritional needs of the body. Both undernutrition and overnutrition affect human health in general and the health of patients in particular. Malnutrition prolongs hospital stay, reduces resistance and increases the risk of complications. Therefore, screening and evaluating the nutrition status of patients is important in the treatment process. Objectives: 1. To screen and assess the nutritional status of inpatients at the Hue University Hospital; 2. To find out some factors related to the patient’s nutritional status. Methodology: A cross-sectional study was carried out on 700 inpatients at departments of internal medicine and surgery, Hue University Hospital. NRS2002 tool was used for screening nutritional risk, Body Mass Index (BMI) was used for assessing nutritional status and questionnaires was used to understand some of the risk factors. Results: Prevalence of inpatients had nutritional risk was 37.4%, in which 38.1% at internal medicine department and 36.8% at surgery departments. Assessment of nutritional status by using BMI showed that 28.1% of inpatients was undernutrition (24.2% at internal medicine departments, and 32.4% at surgery departments); Some risk factors for undernutrition of inpatients were old age (≥ 60 group was higher than <60 (p <0.001), smoking (smokers were at higher risk than patients used to smoke and nonsmokers (p<0.001); living place (patients who live in rural areas had a 1.6 times higher risk of undernutrition than those living in urban areas (p<0.001). Conclusions: Prevalence of inpatients with nutritional risk in internal medicine and surgery was quite high. All inpatients should be screened for nutritional status for better treatment.
Under-nutrition is still a major contributor to disease and poor growth in vulnerable populations. Prolonged undernutrition affects physical health, mental and social development of children and exacts a heavy cost to their families and society at large. Insufficient food availability is an important cause of undernutrition, the ability or willingness to consume available foods is another major factor. Picky eating is one of the behaviors that children with difficulty or not to accept foods. Picky eating is relatively common among infants and children, often causing anxiety for parents and caregivers. Picking eating is often linked to nutritional problems, and is also the cause that parents take their child to doctor for examination and consultation. Objectives: To describe prevalence of picky eaters and nutritional status of children aged 1 to 5 and to find out the relationship between picky eating and nutritional status of children. Methods: This was a cross-sectional study. A sample size of 1100 children aged 1 to 5 had been selected and studied by using questionnaire for interviewing parents or caregivers to estimate prevalence of picky eaters; measuring weight, length/height to access nutritional status of children. Results: Prevalence of picky eaters based on parents or caregivers’ opinion and according to researchers were 43.3% and 22.2%, respectively. The most common signs of picky eating reported by parents or caregivers were eat slowly, mealtime lasted for over 30 minutes (39.7%), eat less (31.7%), keep food in mouth (23.5%). 35.9% of picky eaters had signs at the period of complementary feeding. Prevalence of underweight, overweight and stunting were 7.5%, 3.6% and 10.9%, respectively. There was no relationship between picky eating and stunting (p>0.05) but strong relationship between picky eating and underweight (p<0.001), wasting (p<0.001). Picky eaters were 4.02 times at risk of underweight compared to non-picky eaters (95% CI: 2.54-6.36). Conclusions: Picky eating is common and a risk factor of underweight, wasting. It should be a big concern to public health workers. Key words: Picky eating, nutritional status, children aged 1 to 5, Vietnam
Background: For most infants and young children, feeding seems to be a natural process. However, only 25% of them has normal development of all all aspects and up to 80% of children with developmental problems are reported to be concerned with feeding problems. Picky eating is one of the behaviors that children with difficulty or not to accept foods. It is relatively common among infants and children, often causing anxiety for parents and caregivers. Picky eating is often linked to nutritional problems and is also the cause that parents take their child to doctor for examination and consultation. Literature review showed that there was still no unique or gold standard for defining picky eating. This study aimed to determine the method of determining picky eater in children under 5 in Hue city. Methodology: A cross-sectional study was conducted on 772 children under 5 years old and their parents or caregivers living in Hue city, Vietnam. A questionnaire was used for interviewing parents or caregivers. Picky eating was defined according to parents or caregivers’opinion and criterion of the study. 14 questions describing 3 themes of eating activities of a child was scored based on the level of difficulties, ranged from 0 to 3 points (0 for the easiest or normal and 3 for the most difficult). Three main themes included time for each meal and eating activities of the child (5 questions), number of meals, diversity and amount of food that the child consumed per day (5 questions) and emotional or behaviors of the child at mealtime (4 questions). Cronbach’s alpha was used for testing reliability of the designed scale. Using percentiles for defining cut-off point for picky eating. SPSS 20 statistics software was used to analyze data. Results: Prevalence of picky eaters based on parents or caregivers’opinion was 43.4%. The cut-off point for defining a child as picky eater (percentiles 75th) was 11. The child should be classified to be picky eater if he get 11 points and above. Using this criterion, the prevalence of picky eating should be 25.3%. Conclusions: Picky eating is common but misclassifying of parents or caregivers might higher the prevalence. Having criteria for defining picky eating and helping parents how to use it are very essential. Key words: picky eating, define, children under 5 years old
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