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Development and validation of a new model of desirable dietary pattern (N-DDP) score for Chinese diets.

机译:开发和验证一种新的中式饮食模式(N-DDP)评分模型。

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Objective. To develop a new model of desirable dietary pattern (N-DDP) score for Chinese diets and to validate it against the nutrient-rich foods (NRF) index. Design. The N-DDP score model followed the principles of the traditional DDP (T-DDP) score model (DDP-China for 2000) proposed in 1991 and of food grouping in the dietary pagoda for Chinese residents in 2007, and made detailed ratings by expressing the food weight coefficient, reasonable maximum limit of the score and an algorithm of the deserved score for each group of foods after considering current nutritional problems of Chinese residents. The N-DDP score model was validated against the NRF9.3 index with linear regression analysis and compared with the T-DDP score model. Settings. One set of dietary data was extracted from the diet recommended by the dietary pagoda for Chinese residents in 2007 and the literature on dietary surveys in China. The other two sets of dietary data were from a dietary survey in 2011. DDP scores for all three dietary data sets were calculated with the N-DDP score model and the T-DDP score model. Subjects. All items of dietary records in the three dietary data sets were included in the present study. Results. All DDP scores obtained with the N-DDP score model were positively correlated (P = 0.000) with the NRF9.3 index. DDP scores obtained with the N-DDP score model had higher R 2 with the NRF9.3 index than those of the T-DDP score model, as well as higher beta values. Conclusions. It can be considered that the N-DDP score is a more accurate and convenient tool to evaluate current individual and group diet for Chinese residents
机译:目的。为中国饮食开发一种新的理想饮食模式(N-DDP)评分模型,并针对营养丰富的食物(NRF)指数进行验证。设计。 N-DDP评分模型遵循1991年提出的传统DDP(T-DDP)评分模型(2000年为DDP-China)和2007年针对中国居民饮食塔中食物分组的原则,并通过表达考虑到中国居民当前的营养问题,确定每组食物的食物重量系数,合理的最大分数极限和应得分数的算法。使用线性回归分析针对NRF9.3指数验证了N-DDP得分模型,并与T-DDP得分模型进行了比较。设定从2007年中国居民饮食宝塔推荐的饮食和中国饮食调查文献中提取了一组饮食数据。其他两组饮食数据来自2011年的一项饮食调查。使用N-DDP评分模型和T-DDP评分模型计算了所有三个饮食数据集的DDP评分。主题。三个饮食数据集中的所有饮食记录都包括在本研究中。结果。使用N-DDP评分模型获得的所有DDP评分均与NRF9.3指数呈正相关(P = 0.000)。使用N-DDP评分模型获得的DDP评分具有NRF9.3指数的R 2 高于T-DDP评分模型的R 2 以及更高的beta值。结论。可以认为,N-DDP评分是评估中国居民当前个人饮食和团体饮食的更准确和便捷的工具

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