Within-Person Variation in Nutrient Intakes across Populations and Settings: Implications for the Use of External Estimates in Modeling Usual Nutrient Intake Distributions.
Within-Person Variation in Nutrient Intakes across Populations and Settings: Implications for the Use of External Estimates in Modeling Usual Nutrient Intake Distributions.
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DOI：
10.1093/advances/nmaa114
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发表时间：
2021-03-31
期刊：
影响因子：
--
通讯作者：
Variance Components of Nutrient Intakes Data Working Group
中科院分区：
文献类型：
--
作者：
French CD;Arsenault JE;Arnold CD;Haile D;Luo H;Dodd KW;Vosti SA;Slupsky CM;Engle-Stone R;Variance Components of Nutrient Intakes Data Working Group
确定营养摄入不足或过量风险的人口比例是规划和管理营养干预计划的关键一步。每个受试者多天的24小时饮食摄入量数据允许调整建模的通常营养素摄入量分布，用于归因于个体内变异的摄入量总方差的比例（WIV：总）。当只有一天的膳食数据可用时，可以使用外部调整因子;但是，WIV：总可能因人口而异，使用不正确的WIV：总比率可能影响患病率估计的准确性和随后的计划影响。WIV：根据出版物和对现有数据集的再分析汇编总数值，以描述WIV：总体在人群和环境中的变化。外部WIV的变化的潜在影响：总的患病率估计不足进行了评估，通过模拟分析，使用美国国家癌症研究所1-d的方法。WIV：从24个国家的40篇出版物中提取了总数值，并从12个国家的15个数据集中计算了额外数值。在出版物和再分析中观察到WIV：总计（从0.02至1.00）的广泛变化。少数模式的人口特征是明显的，但WIV：总不同的年龄在儿童（< vs. >1岁）和农村和城市之间的设置。模拟分析表明，在某些情况下，对摄入量不足的流行率的估计对选定的比率很敏感。外部WIV的选择：总估计值应考虑参考研究和主要研究在人群特征、研究设计和统计方法方面的可比性。鉴于观察到的比率变化很大，几乎没有可辨别的模式，强烈鼓励在人群膳食研究中至少收集一个代表性子样本中≥2天的摄入量数据。对于单日膳食研究，建议进行敏感性分析，以确定流行率估计值对方差比变化的稳健性。营养素摄入量的人内方差分量比率的变化进行了审查，以评估分析单日24小时饮食回忆或食物记录数据的研究的统计意义。
Determining the proportion of a population at risk of inadequate or excessive nutrient intake is a crucial step in planning and managing nutrition intervention programs. Multiple days of 24-h dietary intake data per subject allow for adjustment of modeled usual nutrient intake distributions for the proportion of total variance in intake attributable to within-individual variation (WIV:total). When only single-day dietary data are available, an external adjustment factor can be used; however, WIV:total may vary by population, and use of incorrect WIV:total ratios may influence the accuracy of prevalence estimates and subsequent program impacts. WIV:total values were compiled from publications and from reanalyses of existing datasets to describe variation in WIV:total across populations and settings. The potential impact of variation in external WIV:total on estimates of prevalence of inadequacy was assessed through simulation analyses using the National Cancer Institute 1-d method. WIV:total values were extracted from 40 publications from 24 countries, and additional values were calculated from 15 datasets from 12 nations. Wide variation in WIV:total (from 0.02 to 1.00) was observed in publications and reanalyses. Few patterns by population characteristics were apparent, but WIV:total varied by age in children (< vs. >1 y) and between rural and urban settings. Simulation analyses indicated that estimates of the prevalence of inadequate intake are sensitive to the selected ratio in some cases. Selection of an external WIV:total estimate should consider comparability between the reference and primary studies with regard to population characteristics, study design, and statistical methods. Given wide variation in observed ratios with few discernible patterns, the collection of ≥2 days of intake data in at least a representative subsample in population dietary studies is strongly encouraged. In the case of single-day dietary studies, sensitivity analyses are recommended to determine the robustness of prevalence estimates to changes in the variance ratio. Variation in within-person variance component ratios of nutrient intakes was reviewed to assess statistical implications for studies analyzing single-day 24-h dietary recall or food record data.
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影响因子：
3.3
作者：
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