Do bioactive components in non-animal food sources contribute to the beneficial health effect of a Japanese dietary pattern?
Do bioactive components in non-animal food sources contribute to the beneficial health effect of a Japanese dietary pattern?
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DOI:
10.1017/s136898001900154x
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发表时间:
2019-09-01
影响因子:
3.2
通讯作者:
Calvo, Mona S
中科院分区:
文献类型:
--
作者:
Hodge, Allison M;Calvo, Mona S
In their article,‘Dietary patterns and abnormal glucose tolerance in Japan’in this issue of Public Health Nutrition, Okada et al.(1) identified three dietary patterns using factor analysis of data from approximately 100 000 participants in the 2012 Japanese National Health and Nutrition Survey (NHNS) to explore associations with diabetes risk based on glycated Hb (HbA1c) cut-off values. Of three patterns identified, only the predominantly plant-based dietary pattern was significantly and inversely associated with diabetes risk, leading us to speculate that both the amount of specific foods consumed and their bioactive components may afford a protective mechanism against abnormal glucose tolerance. Two foods characterising this ‘vegetable pattern’and which are widely consumed in Japan, namely soya/soya products and mushrooms, differ in both quantity of consumption and their bioactive components compared with the plant foods predominant in Western cultures. The objective of our commentary is to delve deeper into these differences and speculate on possible mechanisms through which these foods may reduce disease risk. Three dietary patterns were found:(i)‘high-bread and low-rice’,(ii)‘high-meat and low-fish’and (iii)‘vegetable’. The first pattern, on which bread, milk/dairy products, confectionery, butter/margarine and fruit were positively loaded, and animal meats/poultry and rice were negatively loaded, was weakly inversely associated with elevated HbA1c. The ‘vegetable’pattern, with positive loadings for vegetables, fruit, mushrooms, soyabeans/soya products, was significantly inversely associated with elevated HbA1c. No association was seen for the second pattern (1). It is perhaps no surprise that the first pattern did not show a strong association with HbA1c given that foods loading on this factor included some that would be considered beneficial, such as positive loadings for fruit and negative loadings for meat and poultry; but other items like confectionery with a positive loading would be expected to be associated with a greater risk of elevated HbA1c or diabetes (2). The strong negative loading for rice and the similar strength positive loading for bread are difficult to interpret without more detail of the main foods consumed within these groups. White rice is low in nutrients, including fibre, and can have a low glycaemic index (3), which might also contribute to diabetes risk (4). However, even within white rice Atkinson et al. report a wide range of glycaemic indices ranging from below 50 for some types to above 100 for others (3). Bread similarly is reported to have a range of glycaemic indices, both within and between different types of grains (3). The second pattern, with positive loadings for bread, noodles, animal meats/poultry, butter/margarine, vegetable fats/oils and coffee/cocoa, and inverse associations for rice, pickles, raw fish/shellfish and tea, is similar to other ‘unhealthy’dietary patterns that have been associated with increased diabetes risk (5).The ‘vegetable’pattern loads all plant-based foods and mushrooms, and in that respect is similar to other ‘healthy’patterns that have been inversely associated with diabetes risk (5). Although we recognise that mushrooms are fungi and in fact part of a separate kingdom to plants, we refer to them with plant foods here. Due to differences in the sort of foods consumed in Japan compared with Western countries, the actual components of this ‘vegetable’pattern may be quite different, in particular the focus on soyabeanderived foods and mushrooms. The positive effects of the ‘vegetable’dietary pattern in Japan may relate specifically to the component foods that are consumed at significantly higher levels …