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Dietary Intake Among US Adults, 1999-2012.1999 - 2012年美国成年人的饮食摄入量
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Removing Potatoes from Children's Diets May Compromise Potassium Intake.从儿童饮食中去除土豆可能会影响钾的摄入量。
Adv Nutr. 2016 Jan 15;7(1):247S-253S. doi: 10.3945/an.115.008680. Print 2016 Jan.
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Frequent Canned Food Use is Positively Associated with Nutrient-Dense Food Group Consumption and Higher Nutrient Intakes in US Children and Adults.在美国儿童和成年人中,频繁食用罐头食品与营养丰富的食物组摄入量以及更高的营养素摄入量呈正相关。
Nutrients. 2015 Jul 9;7(7):5586-600. doi: 10.3390/nu7075240.
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Assessing global dietary habits: a comparison of national estimates from the FAO and the Global Dietary Database.评估全球饮食习惯:粮农组织与全球饮食数据库国家估计值的比较
Am J Clin Nutr. 2015 May;101(5):1038-46. doi: 10.3945/ajcn.114.087403. Epub 2015 Mar 18.
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The United States food supply is not consistent with dietary guidance: evidence from an evaluation using the Healthy Eating Index-2010.美国的食物供应与膳食指南不一致:来自一项使用《2010年健康饮食指数》进行评估的证据。
J Acad Nutr Diet. 2015 Jan;115(1):95-100. doi: 10.1016/j.jand.2014.08.030. Epub 2014 Nov 1.
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Contributions of white vegetables to nutrient intake: NHANES 2009-2010.白色蔬菜对营养素摄入的贡献:NHANES 2009-2010。
Adv Nutr. 2013 May 1;4(3):335S-44S. doi: 10.3945/an.112.003541.
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Food sources of energy and nutrients among adults in the US: NHANES 2003–2006.美国成年人的能量和营养素食物来源:NHANES 2003-2006。
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8
Fruits and vegetables: measuring intake and encouraging increased consumption.水果和蔬菜:衡量摄入量并鼓励增加消费。
Proc Nutr Soc. 2013 May;72(2):236-45. doi: 10.1017/S0029665112003059. Epub 2013 Jan 16.
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Fruit and vegetable intake: issues with definition and measurement.水果和蔬菜摄入量:定义和测量方面的问题。
Public Health Nutr. 2013 Jan;16(1):2-7. doi: 10.1017/S1368980012000985. Epub 2012 Apr 4.
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Produce consumption in the United States: an analysis of consumption frequencies, serving sizes, processing forms, and high-consuming population subgroups for microbial risk assessments.美国的食品消费:微生物风险评估的消费频率、食用份量、加工形式和高消费人群亚组分析。
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描述美国通过自我报告和供应-消失数据来描述水果和蔬菜摄入量的趋势:2001-2014 年。

Characterizing trends in fruit and vegetable intake in the USA by self-report and by supply-and-disappearance data: 2001-2014.

机构信息

1US Department of Agriculture,Agricultural Research Service,Grand Forks Human Nutrition Research Center,2420 2nd Avenue N.,Grand Forks,ND 58203,USA.

2Tufts University,School of Medicine,Boston,MA,USA.

出版信息

Public Health Nutr. 2017 Dec;20(17):3045-3050. doi: 10.1017/S1368980017002385. Epub 2017 Sep 20.

DOI:10.1017/S1368980017002385
PMID:28929985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10261347/
Abstract

OBJECTIVE

To examine the comparability of fruit and vegetable (F&V) intake data in the USA from 2001 to 2014 between data acquired from two national data collection programmes.

DESIGN

Cross-sectional analysis. Linear regression models estimated trends in daily per capita intake of total F&V. Pooled differences in intake of individual F&V (n 109) were examined by processing form (fresh, frozen, canned, dried and juice).

SETTING

What We Eat in America (WWEIA, 2001-2014) and Loss-Adjusted Food Availability data series (LAFA, 2001-2014).

RESULTS

No temporal trends were observed in daily per capita intake of total F&V from 2001 to 2014 using WWEIA and LAFA. Modest differences between WWEIA and LAFA were observed in mean pooled intake of most individual F&V.

CONCLUSIONS

WWEIA and LAFA produced similar estimates of F&V intake. However, WWEIA may be best suited for monitoring intake at the national level because it allows for the identification of individual F&V in foods with multiple ingredients, and it is structured for sub-population analysis and covariate control. LAFA does retain advantages for other research protocols, specifically by providing the only nationally representative estimates of food losses at various points in the food system, which makes it useful for examining the adequacy of the food supply at the agricultural, retail and consumer levels.

摘要

目的

检验 2001 至 2014 年间美国水果和蔬菜(F&V)摄入量数据在两个国家数据收集项目间的可比性。

设计

横断面分析。线性回归模型估计了总 F&V 每日人均摄入量的趋势。通过处理形式(新鲜、冷冻、罐装、干燥和汁)来检验个体 F&V 摄入量的综合差异(n=109)。

设置

《我们吃什么:美国人的饮食模式 2001-2014》(WWEIA,2001-2014 年)和损耗调整食品供应数据系列(LAFA,2001-2014 年)。

结果

使用 WWEIA 和 LAFA,2001 至 2014 年间,总 F&V 每日人均摄入量没有观察到时间趋势。WWEIA 和 LAFA 对大多数个体 F&V 的平均综合摄入量有适度差异。

结论

WWEIA 和 LAFA 对 F&V 摄入量的估计结果相似。然而,WWEIA 可能最适合用于国家层面的摄入量监测,因为它允许识别多种成分食品中的个体 F&V,并且它是为子人群分析和协变量控制而构建的。LAFA 在其他研究方案中仍然保留优势,特别是因为它提供了在食品系统各个点的食物损耗的唯一全国代表性估计值,这使其对于检验农业、零售和消费者层面的食物供应充足性非常有用。