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J Nutr Health Aging. 2016;20(10):971-981. doi: 10.1007/s12603-016-0703-4.
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Eating behavior by sleep duration in the Hispanic Community Health Study/Study of Latinos.西班牙裔社区健康研究/拉丁裔研究中按睡眠时间划分的饮食行为
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Temporal Dietary Patterns Derived among the Adult Participants of the National Health and Nutrition Examination Survey 1999-2004 Are Associated with Diet Quality.1999 - 2004年美国国家健康与营养检查调查成年参与者的时间饮食模式与饮食质量相关。
J Acad Nutr Diet. 2016 Feb;116(2):283-291. doi: 10.1016/j.jand.2015.05.014. Epub 2015 Jun 30.
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Energy and Nutrient Intakes from Processed Foods Differ by Sex, Income Status, and Race/Ethnicity of US Adults.美国成年人从加工食品中摄入的能量和营养素因性别、收入状况以及种族/族裔而异。
J Acad Nutr Diet. 2015 Jun;115(6):907-18.e6. doi: 10.1016/j.jand.2014.11.004. Epub 2015 Jan 8.
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Income and race/ethnicity influence dietary fiber intake and vegetable consumption.收入以及种族/民族会影响膳食纤维摄入量和蔬菜消费量。
Nutr Res. 2014 Oct;34(10):844-50. doi: 10.1016/j.nutres.2014.08.016. Epub 2014 Sep 3.
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Cross-sectional examination of physical and social contexts of episodes of eating and drinking in a national sample of US adults.对美国成年人全国样本中饮食行为发生时的身体和社会环境进行横断面调查。
Public Health Nutr. 2014 Dec;17(12):2721-9. doi: 10.1017/S1368980013003315. Epub 2014 Jan 15.
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Water and beverage consumption among adults in the United States: cross-sectional study using data from NHANES 2005-2010.美国成年人的水和饮料消费:使用 NHANES 2005-2010 数据的横断面研究。
BMC Public Health. 2013 Nov 12;13:1068. doi: 10.1186/1471-2458-13-1068.
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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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Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level.美国人的饮食质量因年龄、性别、种族/民族、收入和教育水平而异。
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Income and race/ethnicity are associated with adherence to food-based dietary guidance among US adults and children.收入和种族/民族与美国成年人和儿童对基于食物的膳食指导的依从性有关。
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频率和摄入量如何?2007 - 2012年美国国家健康与营养检查调查(NHANES)中美国成年人按频率和能量贡献划分的饮食摄入量差异

How Often and How Much? Differences in Dietary Intake by Frequency and Energy Contribution Vary among U.S. Adults in NHANES 2007-2012.

作者信息

Eicher-Miller Heather A, Boushey Carol J

机构信息

Department of Nutrition Science, Purdue University, 700 West State St., West Lafayette, IN 47907, USA.

Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo St., Honolulu, HI 96813, USA.

出版信息

Nutrients. 2017 Jan 23;9(1):86. doi: 10.3390/nu9010086.

DOI:10.3390/nu9010086
PMID:28124990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5295130/
Abstract

The objective of this study was to determine the top frequently reported foods or beverages and the top foods or beverages grouped by broad and specific What We Eat In America (WWEIA) categories for adult age groups of 19 to 35 years, 36 to 55 years, and ≥65 years ( = 16,399) using data drawn from the cross-sectional, WWEIA, National Health And Nutrition Examination Survey (NHANES) 2007-2012 and to compare intake of broad WWEIA categories ranked by frequency and by energy contribution among these adult age groups. Ranking, unadjusted and weighted frequencies, and the proportion of reported foods or energy out of all reported foods or energy were determined and stratified by age. The Rao-Scott modified chi-square was used to test for significant differences among age groups. Results support dietary quality differences by age; intake of broad WWEIA categories was significantly different among age groups by frequency for alcohol, water, and condiment/sauces. Energy contributions significantly differed among age groups for protein foods, snacks/sweets, and beverages. Frequently reported foods and beverages may be used to inform the creation of search tools used for automatic and user-verified identification of foods and beverages in mobile- or technology-based dietary assessment.

摘要

本研究的目的是利用2007 - 2012年美国国家健康与营养检查调查(NHANES)中“我们在美国吃什么”(WWEIA)横断面数据,确定19至35岁、36至55岁和≥65岁成年年龄组(n = 16,399)中报告频率最高的食物或饮料,以及按宽泛和特定的WWEIA类别分组的顶级食物或饮料,并比较这些成年年龄组中按频率和能量贡献排名的宽泛WWEIA类别的摄入量。确定了未调整和加权的频率排名,以及所有报告的食物或能量中报告的食物或能量的比例,并按年龄分层。使用Rao - Scott修正卡方检验年龄组之间的显著差异。结果支持饮食质量因年龄而异;按频率计算,在酒精、水和调味品/酱料方面,宽泛WWEIA类别的摄入量在各年龄组之间存在显著差异。蛋白质类食物、零食/甜食和饮料的能量贡献在各年龄组之间存在显著差异。经常报告的食物和饮料可用于为基于移动或技术的饮食评估中用于自动和用户验证食物和饮料识别的搜索工具的创建提供信息。