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.
