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Asterisks (*, **, and ***) indicate statistically significant results at the 10%, 5%, and 1% level, respectively. Only by understanding the disparity across regions and developmental trend from temporal perspective and the interconnection between them, can we have a comprehensive understanding of the transitional process and identify the the most vulnerable region and population that need most policy attention. No, Is the Subject Area "China" applicable to this article? here. Nutrient intake values were calculated by combining data on dietary records with information on nutrient content of food items in the China Food Composition Table. It is surprisingly unknown amongst non-Japanese that ramen varieties are divided according to the flavour of the soup, and other than the staples of Tonkotsu, Shoyu, Miso and Shio, in each region ramen with differing characteristics can be enjoyed.
Against this background, we examine nine provinces with varied geographical and socioeconomic backgrounds in China to investigate: (1) the trends in overall dietary patterns and staple food consumption from 1997 to 2009 across different subpopulations and geographies; (2) the extent to which household characteristics (e.g., income, education) and community urbanicity are associated with household dietary choices, and (3) the changes in the relationship between overall dietary diversity indicators and staple dietary indicators across the SES gradient. These overall trends in coarse staple food consumption mask interesting geographical patterns and disparities between rural and urban areas. We found higher variability for PoCS and SDS relative to DDS (Tables 1 and 2), showing that there is a larger range in household staple food consumption as compared to overall patterns of dietary diversity. Coarse staple foods include: corn and corn products; barley; millet; sorghum; other cereals; potato (and products); sweet potato (and products); other tubers/roots; mung beans; adzuki bean; kidney bean. Asterisks (*, **, and ***) indicate statistically significant results at the 10%, 5%, and 1% level, respectively. Aside from its Guilin noodles, it is also home to up to ten varieties of famous noodles of all shapes - round, flat, thin, square - and tastes - savory, sour, sweet, spicy.
Because SDS was a binomial variable, we utilized a binomial estimator in these models.
Though this method is delicious, most people prefer to let it air-dry and then store it, heating it up when itâs time to eat.
To explore nutritional quality in addition to the three dietary indicators, we calculated average individual daily nutrient intake of protein, fat, fiber, iron (Fe), zinc (Zn), and calcium (Ca) for each household. For all three dietary indicators, their provincial-level values were calculated as the average of the household scores for all the years of a given province. Mean values of each group are shown with standard deviations in parentheses.
Site Map The survey collected information on a wide array of household characteristics including demographics, economic status, time use, labor force participation, asset ownership, income, and expenditure.
Similar to PoCS, the provincial-level proportion of coarse staple production was calculated as the ratio of the production of coarse grains (including maize, millet, sorghum and barley) in a given province to total provincial grain production. Northerners love the noodles that their wheat produces, and Southerners cherish their rice paddies and the dishes they contribute to. On this page we list some basic Chinese Food Ingredients, which should be present in your Chinese shelf and are used to prepare some of the most common Chinese Food Recipes.. Validation, China, the world’s most populous country, has undergone significant transitions in terms of economic development and dietary patterns during the last several decades. PLOS ONE promises fair, rigorous peer review, Sticky rice cake also does not use glutinous rice milk. Households with elders preparing food consumed more coarse staple foods in areas that traditionally cultivate multiple staple foods. The multiple measures of dietary quality were examined in the context of various important household characteristics, including demographic factors (i.e., gender, age of the person preparing food, household size), as well as socioeconomic factors (i.e., average educational attainment of the family members preparing food, per capita household income). Copyright: © 2018 Chang et al. In addition to these temporal transitions, the differences in coarse staple food consumption between rural and urban households showed significant geographical disparity (Table 1, Tables G and H in S1 File).
So naturally, Chinese peopleâs taste in food is just as wide-ranging.
Aside from its Guilin noodles, it is also home to up to ten varieties of famous noodles of all shapes - round, flat, thin, square - and tastes - savory, sour, sweet, spicy.
Our study suggests that such changes would produce great benefits, especially for rural households in areas that cultivate multiple staple crops (e.g., Henan and Shandong).
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