فهرست مطالب parisa zareishargh

Nutrition counseling web apps have the ability to improve the quality of health care. The purpose of this study is to design and evaluate the usability of a nutrition counseling web app (virtual clinic) for pregnant women.

It was a descriptive-cross-sectional applied study that first designed and then examined the nutritional counseling web app (virtual clinic) for pregnant women using the heuristic evaluation method. The data was collected with a standard form designed based on the heuristic method. Data analysis was done with SPSS version 26.

The number of known individual problems was 34. The highest number of problems was related to the flexibility and efficiency component and the lowest number was related to the component of helping users in diagnosing, identifying and correcting errors. In the end, all the problems identified in the web app were solved and it was given to the evaluators again, and in the end, a score of zero was assigned to all the components, meaning no problem.

Compliance with existing standards and rules in the design of web app user interfaces, such as the heuristics mentioned in this study, can reduce problems.

The aim of this study was to evaluate postoperative nutritional status in patients who underwent operations due to congenital gastrointestinal anomalies in surgical neonatal intensive care units (NICUs) and to investigate the role of nutrition support teams (NSTs) on the outcome.

A retrospective clinical study was carried out at two NICUs in Dr. Sheikh Pediatric Hospital, Mashhad, Iran. One of the NICUs was supported by NST and the other was not. A total of 120 patients were included through a non-random simple sampling. Different variables such as age, sex, prematurity, type of anomaly, birth weight, use of vasoactive drugs, weight gain in NICU, length of NICU stay, postoperative enteral nutrition initiation, duration of mechanical ventilation, mortality rate, maximum of blood sugar, the amount of calorie delivered to the calorie requirement ratio, and distribution of energy from enteral or parenteral roots were compared between the patients of two NICUs.

Median weight gain and the amount of calorie delivered during NICU stay in subjects of NST-supported NICU was significantly more than other NICU. There was no significant difference in the length of NICU stay, enteral nutrition initiation after the operation, ventilation days, and percent of mortality between the two groups. The percentage of enteral feeding was also increased by about 2.8%, which was not significant.

NST could increase post-operative weight gain and calorie delivery in patients as well as providing an increase in enteral feeding rather than parenteral.

Lack of nutritional knowledge is one of the most important reasons for nutritional problems and consequently im proper practice, which can lead to several complications. The aim of this study was to assess the knowledge, attitude, and practice of urban and rural households toward principles of nutrition in Neyshabour. This cross-sectional study investigates the knowledge, attitude, and practice of urban and rural households towards principles of nutrition in Neyshabour. The sampling method at households' level was single stage cluster sampling with equal size clusters. The incumbent data was collected by a structured questionnaire and through the interview with the eligible subject in each household. A total of 385 households were selected as overall sample size. Around 70% of households were aware of food groups. About 40-70% had correct knowledge about the roles of food groups. Most of the households had accurate knowledge about the reason for food eating. Knowledge, attitude, and practice levels of households toward principles of nutrition weremoderate and good. The results of this study can be used for proper intervention for improving health society.

As a prevalent metabolic disease, diabetes has different side effects and causes a wide range of co morbidity with a high rate of mortality. There is a need for certain interventions to manage this disease. Iranians usually have three main meals a day. Considering the special needs of diabetic patients and the possibility of hypoglycemia between the main meals, it is essential for these patients to eat something as a snack. Considering these conditions and the society’s orientation towards modern technologies such as smart phones, designing mobile-based nutrition recommender systems can be helpful. The snack recommender system is a knowledge-based smart phone application. This study has focused on the development of a recommender system that combines artificial intelligence techniques and makes up a knowledge base according to the guidelines posed by the American Diabetes Association (ADA). The snack menu was recommended in accordance with the patient’s favorites and conditions. The accuracy of the recommended menu was assessed in 2 steps. First, it was compared with the diet prescribed by three nutrition specialists. In the second step, system’s suggested menu was evaluated by the data from 30 diabetic patients using a valid questionnaire. The results of evaluating the snack recommender system by nutritionists showed that this system is capable of recommending various snacks according to the season (accuracy of 100%) and personal interests (accuracy of 90%) to diabetic patients. According to health nutritionists, the snacks suggested by this system are matched with Iranian culture. Moreover, the results revealed that a higher body mass index (BMI) makes the recommender system less sensitive to personal interests to suggest what is basically beneficial for one’s health. This study was a pioneering research to develop a more comprehensive dietary recommender system for diabetic patients which includes main meals as well. Patients found the system useful and were satisfied with the application. This system is believed to be able to help diabetic patients to take more healthy diet which leads to a better lifestyle