| 772 | 9 | 285 |
| 下载次数 | 被引频次 | 阅读次数 |
目的 通过人群膳食质量验证,筛选适用于中国居民的食物营养素丰富度指数(nutrient-rich food index, NRF指数)。方法 依据《中国食物成分表》和“中国食品标签营养素参考值”,以100 g为计算基准,构建16个NRF指数。利用“中国健康与营养调查”项目2018年在15个省14 068名成年居民中收集的食物摄入量数据,通过膳食质量评价指标中国精简膳食质量评分(China Prime Diet Quality Score, CPDQS)对NRF指数进行验证。以CPDQS为因变量,膳食NRF指数得分为自变量,调整协变量后进行多重线性回归分析,以决定系数R2最大的NRF指数作为最适宜指数。结果 NRF8.2指数回归分析的R2最大,为0.16。干豆类、菌藻类、坚果、蔬菜、蛋类、水产的NRF8.2指数得分较高。相对于膳食NRF8.2指数低得分组,高得分组平均每天有更多的谷薯类、蔬菜、水果、大豆及坚果、奶类、蛋类和水产的摄入,同时有较少的畜禽肉、饮料、盐和烹调油的消费。在营养素摄入方面,膳食NRF8.2指数中和高得分组有相对较高的能量、蛋白质、维生素和矿物质的摄入,同时有相对较低的脂肪和钠摄入。结论 NRF8.2指数能最大程度解释CPDQS变异,是相对适用于中国居民的NRF指数。
Abstract:OBJECTIVE To select the nutrient-rich food(NRF) index applicable to the food characteristics of Chinese residents through population-based dietary quality validation.METHODS Sixteen NRF indices were constructed based on the Chinese Food Composition Table and the Chinese Food Labelling Nutrient Reference Values, using 100 g as the base amount of food for calculation.The NRF indices were validated by the China Prime Diet Quality Score(CPDQS), a dietary quality assessment index, using food intake data collected from 14 068 adult residents in 15 provinces in 2018 under the China Health and Nutrition Survey.The CPDQS was used as the dependent variable and the dietary NRF index score was used as the independent variable. The multiple linear regression models were performed after adjusting the covariates and the NRF index with the largest coefficient of determination R2 was used as the most appropriate index.RESULTS Regression analysis showed that the R2 of NRF8.2 index was the largest, which was 0.16.Dried legumes, fungi and algae, nuts, vegetables, eggs and aquatic products scored higher on the NRF8.2 index. The high scoring subgroups had higher average daily intakes of cereals and potatoes, vegetables, fruits, soybeans and nuts, dairy, eggs and aquatic products, as well as lower consumption of livestock and poultry meat, beverages, salt and cooking oil, compared to the low scoring subgroup on the Dietary NRF8.2 Index.In terms of nutrient intake, the medium and high NRF8.2 subgroups had relatively high intakes of energy, protein, vitamins and minerals and relatively low intakes of fat and sodium.CONCLUSION The NRF8.2 index explains the maximum variation in CPDQS and is a relatively suitable NRF index for the Chinese population.
[1] DREWNOWSKI A,FULGONI V R.Nutrient density:principles and evaluation tools[J].Am J Clin Nutr,2014,99(5 Suppl):1223S-1228S.
[2] FULGONI V R,KEAST D R,DREWNOWSKI A.Development and validation of the nutrient-rich foods index:a tool to measure nutritional quality of foods[J].J Nutr,2009,139(8):1549-1554.
[3] SLUIK D,STREPPEL M T,VAN LEE L,et al.Evaluation of a nutrient-rich food index score in the Netherlands[J].J Nutr Sci,2015,4:e14.
[4] MURAKAMI K,LIVINGSTONE M,FUJIWARA A,et al.Application of the Healthy Eating Index-2015 and the Nutrient-Rich Food Index 9.3 for assessing overall diet quality in the Japanese context:different nutritional concerns from the US[J].PLoS One,2020,15(1):e228318.
[5] 中国健康与营养调查项目组.1989—2009年中国九省区居民膳食营养素摄入状况及变化趋势(一):健康与营养调查项目总体方案[J].营养学报,2011,33(3):234-236.
[6] POPKIN B M,DU S,ZHAI F,et al.Cohort Profile:The China Health and Nutrition Survey:monitoring and understanding socio-economic and health change in China,1989-2011[J].Int J Epidemiol,2010,39(6):1435-1440.
[7] 赵丽云,何宇纳.中国居民营养与健康状况监测报告之一:2010—2013年膳食与营养素摄入状况[M].北京:人民卫生出版社,2018.
[8] 中国营养学会.中国居民膳食指南(2022)[M].北京:人民卫生出版社,2022.
[9] 中国营养学会.中国居民膳食指南科学研究报告2021[M].北京:人民卫生出版社,2022.
[10] 于冬梅,赵丽云,琚腊红,等.2015—2017年中国居民能量和主要营养素的摄入状况[J].中国食物与营养,2021,27(4):5-10.
[11] 中国国家卫健委.中国居民营养与慢性病状况报告(2020年)[M].北京:人民卫生出版社,2020.
[12] 中华人民共和国卫生部.食品安全国家标准预包装食品营养标签通则:GB 28050—2011[S].北京:中国标准出版社,2011.
[13] 杨月欣,王光亚,潘兴昌.中国食物成分表[M].北京:人民卫生出版社,2009.
[14] 何宇纳,王惠君,房玥晖,等.中国精简膳食质量评分[J].卫生研究,2021,50(2):198-204.
[15] DREWNOWSKI A.Uses of nutrient profiling to address public health needs:from regulation to reformulation[J].Proc Nutr Soc,2017,76(3):220-229.
[16] BERENDSEN A,KRAMER C S,DE GROOT L.The newly developed elderly nutrient-rich food score is a useful tool to assess nutrient density in european older adults[J].Front Nutr,2019,6:119.
[17] MURAKAMI K,LIVINGSTONE M,FUJIWARA A,et al.Application of the healthy eating index-2015 and the nutrient-rich food index 9.3 for assessing overall diet quality in the Japanese context:different nutritional concerns from the US[J].PLoS One,2020,15(1):e228318.
[18] ZHAI J,MA B,LYU Q,et al.Validation of the nutrient-rich foods index estimated by 24-h dietary recall method among adults in Henan Province of China[J].Public Health Nutr,2022:1-9.
[19] 周昇昇,李磊,张丁,等.一种新的食物营养评价指数的初步建立和应用[J].营养学报,2014,36(1):63-68.
基本信息:
DOI:10.19813/j.cnki.weishengyanjiu.2023.02.006
中图分类号:R151
引用信息:
[1]张润,欧阳一非,张继国,等.适用于中国的食物营养素丰富度指数的建立与验证[J].卫生研究,2023,52(02):205-212.DOI:10.19813/j.cnki.weishengyanjiu.2023.02.006.
基金信息:
中国疾病预防控制中心和美国北卡罗莱纳大学人口中心合作项目(No.R01-HD30880,DK056350,R01-HD38700)
2022-08-11
2022
2022-11-17
2023-03-14
2023
1
2023-03-16
2023-03-16