Sedigheh Moghasemi, Nezal Ajh, Taraneh Estaki, Parvin Mirmiran,
Volume 2, Issue 2 (10-2014)
Abstract
Background & Objective: Pregnant or lactating women and children are the two population group most vulnerable to nutritional deficiencies. The aim of this study was to review the nutritional status of lactating women, as one of the main loops of the chain of effective factors on health of the generation and society, assessing the supportive nutrition programs in Iran and to provide solutions in this regard. Method: This review was conducted in April 2014. All related articles on the databases of IranMedex, SID (Scientific Information database) and PubMed were investigated with no time limit. After reviewing the abstracts, 15 Persian articles and 13 English articles were fully reviewed. Results: The results of the few available studies on the nutritional status of lactating women indicate deficiencies or inappropriate nutritional patterns among lactating women. Although in formulation of nutritional strategies, pregnant or lactating women and children often receive equal attention, women are practically the target of nutrition and health programs to improve the growth of the fetus and little attention have been paid to their health and nutritional needs. Nutrition of lactating women have been forgotten and solely focus on prenatal nutrition of women means ignoring the more fundamental nutritional problem in women throughout their lives. Conclusion: Implementing a holistic approach to health and nutrition of women instead of the traditional approach, which focuses solely on a particular period of life, leads to health promotion and ensuring the health of women and the next generation.
Fatemeh Karimimanesh, Dr Mohammad Davarpanah Jazi, Dr Nooshin Mohammadifard,
Volume 5, Issue 2 (10-2017)
Abstract
Background & Objective: Health databases contain a large amount of clinical data. Investigating the relationships and patterns in these databases can lead to new medical knowledge. Nutrition indicators are designed to evaluate the dietary quality in communities. Metabolic syndrome is a set of risk factors which may increase the risk of heart disease. Inappropriate diet is one of the most important factors in the occurrence of metabolic syndrome. The health industry is constantly producing a large amount of data in medical areas which requires a technique to disclose useful information and important relationships. The aim of this study was to compare the dietary diversity score (DDS) with healthy eating index (HEI) in terms of nutrient intake and assessing the association with metabolic syndrome with the approach of data mining.
Methods: A total of 1019 teenagers between the ages of 11 to 18 years were enrolled in this study. Data were collected using a past 24-hour food frequency questionnaire (FFQ). Nutrition data collection and determination of anthropometric characteristics and medical examinations were performed in Isfahan Cardiovascular Institute. Data were analyzed by TANAGRA data mining tool.
Results: Statistical, regression and classification techniques were used for data exploration. The average score of DDS was 3.98 ± 1.10, while the HEI average was 59.23 ± 8.84 and the prevalence of metabolic syndrome was 17.39%. The average of DDS provided a better nutritional value in comparison to HEI. HEI was more robust in controlling received energy and carbohydrates. DDS was not significantly correlated with any of the components of metabolic syndrome, while HEI was weakly correlated with high waist circumference. High quartiles of HEI could predict a lower risk of metabolic syndrome, while high quartiles of DDS can predict higher risk of metabolic syndrome.
Conclusion: The findings of this study revealed that the DDS score may result in better nutrition uptake while adhering to the HEI was more effective in reducing the risk of metabolic syndrome.
Masoomeh Gholami, Majid Najafzadeh, Naser Behnampour, Zahra Abdollahi, Farzaneh Sadeghi Ghotbabadi, Farhad Lashkarboluki, Mohammad Reza Honarvar,
Volume 7, Issue 3 (9-2019)
Abstract
Background and objectives: Iran was reported in the high-risk group of World Food Security Map in 2008 .Identifying food insecurity is first step for executing interventions. Measuring household food security is its cornerstone. SAMAT System was designed to provide a variety of GIS-based reports to policy makers and managers in the field of food security.
Methods and Materials: SAMAT system was developed by a team working with various specialties. The system was analyzed using Rational Unified Process methodology and after optimization and normalization process, centralized database was formed. SQL Server 2014 software was used for its implementation. SharpMap open source engine was used to render spatial data and display maps on the web, and many parts of the engine were coded specifically to meet different organizational needs. The system was designed using the WEB GIS engine.
Results: SAMAT system was executed in nine provinces of the country in different periods. SAMAT dashboard provides a variety of information for executive managers. Based on demographic data, the state of food insecurity can be identified at different levels from city to village, in a variety of graphs. A spectrum from the urban distribution to the local distribution of food insecurity can be identified on the GIS map. Zooming in on different areas can help to identify more food insecure neighborhoods within the village or town, thus giving managers the priority of food insecurity interventions at the neighborhood or village level. One can view household characteristics and the results of questionnaire information .
Conclusion: SAMAT system can be useful for managing food security at the national, provincial, city and even rural or urban levels. we recommend periodically prioritizing points, Identifying the provinces and re-evaluating the effectiveness of interventions through the SAMAT-based system after comprehensive implementation of food insecurity reduction
