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在将由访谈者管理的食物探测数据库转换为美国国立癌症研究所自动自填式24小时膳食回顾法(ASA24)中的自我管理模式时所面临的挑战。

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24).

作者信息

Zimmerman Thea Palmer, Hull Stephen G, McNutt Suzanne, Mittl Beth, Islam Noemi, Guenther Patricia M, Thompson Frances E, Potischman Nancy A, Subar Amy F

机构信息

Westat, Rockville, MD.

出版信息

J Food Compost Anal. 2009 Dec 1;22(Supplement 1):S48-S51. doi: 10.1016/j.jfca.2009.02.003.

Abstract

The National Cancer Institute (NCI) is developing an automated, self-administered 24-hour dietary recall (ASA24) application to collect and code dietary intake data. The goal of the ASA24 development is to create a web-based dietary interview based on the US Department of Agriculture (USDA) Automated Multiple Pass Method (AMPM) instrument currently used in the National Health and Nutrition Examination Survey (NHANES). The ASA24 food list, detail probes, and portion probes were drawn from the AMPM instrument; portion-size pictures from Baylor College of Medicine's Food Intake Recording Software System (FIRSSt) were added; and the food code/portion code assignments were linked to the USDA Food and Nutrient Database for Dietary Studies (FNDDS). The requirements that the interview be self-administered and fully auto-coded presented several challenges as the AMPM probes and responses were linked with the FNDDS food codes and portion pictures. This linking was accomplished through a "food pathway," or the sequence of steps that leads from a respondent's initial food selection, through the AMPM probes and portion pictures, to the point at which a food code and gram weight portion size are assigned. The ASA24 interview database that accomplishes this contains more than 1,100 food probes and more than 2 million food pathways and will include about 10,000 pictures of individual foods depicting up to 8 portion sizes per food. The ASA24 will make the administration of multiple days of recalls in large-scale studies economical and feasible.

摘要

美国国立癌症研究所(NCI)正在开发一款自动化的、可自行操作的24小时膳食回顾(ASA24)应用程序,用于收集和编码膳食摄入数据。ASA24开发的目标是基于美国国立卫生研究院(NIH)国家健康和营养检查调查(NHANES)目前使用的美国农业部(USDA)自动化多次通过法(AMPM)工具创建一个基于网络的膳食访谈。ASA24的食物清单、详细探针和份量探针均取自AMPM工具;添加了贝勒医学院食物摄入记录软件系统(FIRSSt)中的份量大小图片;食物代码/份量代码分配与美国农业部膳食研究食物和营养数据库(FNDDS)相关联。由于AMPM探针和回答与FNDDS食物代码和份量图片相关联,因此要求访谈可自行操作且完全自动编码带来了一些挑战。这种关联是通过一条“食物路径”完成的,即从受访者最初选择食物开始,经过AMPM探针和份量图片,到分配食物代码和克重份量大小的步骤顺序。完成此操作的ASA24访谈数据库包含1100多个食物探针和200多万条食物路径,并且将包括约10000张单个食物的图片,每种食物最多有8种份量大小。ASA24将使大规模研究中进行多天回顾的管理变得经济可行。

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