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Nutrient content patterns of Finnish foods in a food composition database
被引:6
|作者:
Similä, M
[1
]
Ovaskainen, ML
[1
]
Virtanen, MJ
[1
]
Valsta, LM
[1
]
机构:
[1] Natl Publ Hlth Inst, Nutr Unit, Dept Epidemiol & Hlth Promot, Helsinki 00300, Finland
关键词:
pattern;
factor analysis;
food-based dietary guidelines;
FBDG;
food composition database;
FCDB;
D O I:
10.1016/j.jfca.2005.08.002
中图分类号:
O69 [应用化学];
学科分类号:
081704 ;
摘要:
Dietary pattern analysis has recently been used in nutritional epidemiology. However, there has been little research on nutrient cooccurrence patterns in foods although they are useful for understanding associations of nutrients in foods. In this study, nutrient content data of Finnish foods were submitted to factor analysis. From the food composition database Fineli (R), 530 basic food items and 106 common nutrients were selected. Nutrient patterns were analysed in two data sets, nutrient values (/100 g) and nutrient densities (/I MJ), with principal component solutions of factor analysis. Four patterns, explaining 36-39% of total variance in nutrient content, were identified for both solutions. The patterns in the nutrient value solution were characterised by: (1) fish, meat, dairy products, legumes, seeds, nuts; (2) vegetable fats; (3) staple foods; and (4) offal foods (liver, kidney). In the nutrient density solution, the patterns were characterised by: (1) vegetables and berries; (2) low fat fish, meat and dairy products; (3) mushrooms and offal foods (liver, kidney); and (4) vegetable fats. These patterns were consistent with prior knowledge of nutrient composition. The basic structures of nutrient content among foods seem to have held constant over recent decades. The study also attests to the benefit of increased consumption of vegetables, fruit and cereals. (c) 2005 Elsevier Inc. All rights reserved.
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页码:217 / 224
页数:8
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