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  1. Kawarazuka N, Béné C
    Public Health Nutr, 2011 Nov;14(11):1927-38.
    PMID: 21729489 DOI: 10.1017/S1368980011000814
    OBJECTIVE: To build a comprehensive overview of the potential role of fish in improving nutrition with respect to certain micronutrient deficiencies in developing countries.

    DESIGN: A comprehensive literature review was completed. For this the electronic library databases ASFA, CABD and Scopus were systematically searched and relevant references cited in these sources were carefully analysed. The search terms used were 'fish', 'small fish species', 'micronutrients', 'food-based strategies', 'fish consumption' and 'developing countries'. The quality of data on nutritional analyses was carefully reviewed and data that lacked proper information on methods, units and samples were excluded.

    RESULTS: The evidence collected confirmed the high levels of vitamin A, Fe and Zn in some of the small fish species in developing countries. These small fish are reported to be more affordable and accessible than the larger fish and other usual animal-source foods and vegetables. Evidence suggests that these locally available small fish have considerable potential as cost-effective food-based strategies to enhance micronutrient intakes or as a complementary food for undernourished children. However, the present review shows that only a few studies have been able to rigorously assess the impact of fish consumption on improved nutritional status in developing countries.

    CONCLUSIONS: Further research is required in areas such as determination of fish consumption patterns of poor households, the nutritional value of local fish and other aquatic animals and the impact of fish intake on improved nutritional status in developing countries where undernutrition is a major public health problem.

    Matched MeSH terms: Iron, Dietary/analysis
  2. Alkarkhi AF, Ramli SB, Easa AM
    Int J Food Sci Nutr, 2009;60 Suppl 4:116-25.
    PMID: 19115121 DOI: 10.1080/09637480802609368
    Major (sodium, potassium, calcium, magnesium) and minor elements (iron, copper, zinc, manganese) and one heavy metal (lead) of Cavendish banana flour and Dream banana flour were determined, and data were analyzed using multivariate statistical techniques of factor analysis and discriminant analysis. Factor analysis yielded four factors explaining more than 81% of the total variance: the first factor explained 28.73%, comprising magnesium, sodium, and iron; the second factor explained 21.47%, comprising only manganese and copper; the third factor explained 15.66%, comprising zinc and lead; while the fourth factor explained 15.50%, comprising potassium. Discriminant analysis showed that magnesium and sodium exhibited a strong contribution in discriminating the two types of banana flour, affording 100% correct assignation. This study presents the usefulness of multivariate statistical techniques for analysis and interpretation of complex mineral content data from banana flour of different varieties.
    Matched MeSH terms: Iron, Dietary/analysis
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