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在低收入和中等收入国家,女性最低饮食多样性指标可扩展至4-15岁儿童及青少年,作为饮食中微量营养素充足的替代人群指标。

The Minimum Dietary Diversity For Women Indicator Can Be Extended To Children And Adolescents aged 4-15 Years As A Proxy Population Indicator For Good Micronutrient Adequacy Of Diets In Low- and Middle-Income Countries.

作者信息

Diop Loty, Gelli Aulo, Huybregts Lieven, Arsenault Joanne E, Bliznashka Lilia, Boy Erick, Deitchler Megan, Lachat Carl, Moursi Mourad, Ochoa-Avilés Angelica M, Olney Deanna K, Becquey Elodie

机构信息

International Food Policy Research Institute (IFPRI), Washington, DC, United States.

Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium.

出版信息

Curr Dev Nutr. 2024 Nov 20;9(1):104508. doi: 10.1016/j.cdnut.2024.104508. eCollection 2025 Jan.

DOI:10.1016/j.cdnut.2024.104508
PMID:39802444
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11719312/
Abstract

BACKGROUND

The response to the global call for more data on children's and adolescents' diets and nutrition is limited by the lack of straightforward practical indicators to track their diet quality. On the basis of a food group score compiled from 10 food groups (FGS-10), the minimum dietary diversity for women, calculated as FGS-10 ≥ 5, is a validated proxy population indicator for better micronutrient intake adequacy for adult women in low- and middle-income countries (LMICs).

OBJECTIVES

This study aims to validate FGS-10 and its related cutoffs against micronutrient intake adequacy in 4-15-y-old children/adolescents in LMICs.

METHODS

We conducted a secondary data analysis of 9 datasets of repeated 24-h recalls or weighed records including 11,524 children/adolescents aged 4-15 y, collected in 7 countries (Burkina Faso, Ghana, Ecuador, India, Malawi, Uganda, and Zambia) between 2007 and 2022. For each dataset and the pooled sample (meta-analysis), we assessed the association between FGS-10 and the mean probability of adequacy (MPA) of intake over 8 micronutrients (MPA-8), and the performance of several FGS-10 cutoffs in predicting acceptable (≥0.60) and good (≥0.80) levels of MPA-8. Robustness analyses used the 7 datasets with data on 11 micronutrients (MPA-11).

RESULTS

FGS-10 ranged from 3.0 to 4.8 across datasets, and the proportion of children/adolescents with acceptable MPA-8 ranged from 8.4% to 74%. Positive and significant associations between FGS-10 and MPA-8 were found in all datasets and the pooled sample. The optimal cutoff varied across datasets from FGS-10 ≥ 4 to FGS-10 ≥ 6. In the pooled sample, FGS-10 ≥ 5 had the highest performances in predicting acceptable and good levels of MPA-8. FGS-10 ≥ 5 was also the best proxy indicator for MPA-11 ≥ 0.80.

CONCLUSIONS

The continuous FGS-10 and dichotomous FGS-10 ≥ 5 may be extended to 4-15-y-old children/adolescents in LMICs. In this population, FGS-10 ≥ 5 can be used as a proxy population indicator for good micronutrient adequacy of diets.

摘要

背景

由于缺乏直接实用的指标来追踪儿童和青少年的饮食质量,全球对更多有关儿童和青少年饮食与营养数据的呼吁所得到的回应有限。基于从10个食物组编制的食物组评分(FGS-10),计算得出的女性最低饮食多样性(FGS-10≥5)是中低收入国家(LMICs)成年女性更好的微量营养素摄入充足率的有效代理人群指标。

目的

本研究旨在针对中低收入国家4至15岁儿童/青少年的微量营养素摄入充足率验证FGS-10及其相关临界值。

方法

我们对9个数据集进行了二次数据分析,这些数据集包括2007年至2022年期间在7个国家(布基纳法索、加纳、厄瓜多尔、印度、马拉维、乌干达和赞比亚)收集的11,524名4至15岁儿童/青少年的重复24小时回忆或称重记录。对于每个数据集和汇总样本(荟萃分析),我们评估了FGS-IO与8种微量营养素摄入充足率的平均概率(MPA-8)之间的关联,以及几个FGS-10临界值在预测MPA-8可接受水平(≥0.60)和良好水平(≥0.80)方面的表现。稳健性分析使用了包含11种微量营养素数据(MPA-11)的7个数据集。

结果

各数据集中FGS-10的范围为3.0至4.8,MPA-8可接受的儿童/青少年比例为8.4%至74%。在所有数据集和汇总样本中均发现FGS-10与MPA-8之间存在正向且显著的关联。最佳临界值在不同数据集之间有所不同,范围从FGS-10≥4到FGS-10≥6。在汇总样本中,FGS-10≥5在预测MPA-8的可接受水平和良好水平方面表现最佳。FGS-10≥5也是MPA-11≥0.80的最佳代理指标。

结论

连续的FGS-10和二分法的FGS-10≥5可扩展至中低收入国家4至15岁的儿童/青少年。在该人群中,FGS-10≥5可作为饮食中微量营养素充足的代理人群指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/5650d3988c66/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/c0b0dea53c1e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/9d4894930437/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/6e95c6964ef9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/5650d3988c66/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/c0b0dea53c1e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/9d4894930437/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/6e95c6964ef9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4221/11719312/5650d3988c66/gr4.jpg

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