PubMed Health⌕ Search

PubMed · 3668130

A computerized quantitative food frequency analysis for the clinical setting: use in documentation and counseling.

Abstract

Documentation of nutrition counseling effectiveness is essential to reinforce its value in an era of escalating health care costs. Counseling effectiveness can be determined definitively only if dietary assessment is made both before and after intervention. Unfortunately, methods currently available have drawbacks that limit feasibility of routine use. A directly computer-readable Quantitative Food Frequency Analysis method, which eliminates the need for manual data entry, has been developed and instituted at the University of Southern California School of Medicine, Los Angeles, for outpatient counseling. A 1-hour interview, focusing upon "usual" intake, is conducted using pictorial menus for food items. Feedback is available to the patient and health care team immediately. The data base is derived from the National Heart, Lung, and Blood Institute Food Table; the intake of 61 nutrients, including 23 fatty acids, is computed. The computer printout consists of four components: a summary; an alert for foods high in fat, cholesterol, sucrose, alcohol, and/or sodium; a listing of all foods consumed by frequency, accompanied by their nutrient contribution to daily intake; and a bar graph relating current nutrient intake to recommended levels. This document serves as a counseling tool and can support claims for third-party payment.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

L I Vailas, D H Blankenhorn, R L Johnson, R H Selzer. 1987. A computerized quantitative food frequency analysis for the clinical setting: use in documentation and counseling.. https://pubmed.ncbi.nlm.nih.gov/3668130/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Evaluation of sites for the location of WEEE recycling plants in Spain.

As a consequence of new European legal regulations for treatment of waste electrical and electronic equipment (WEEE), recycling plants have to be installed in Spain. In this context, this contribution describes a method for ranking of Spanish municipalities according to their appropriateness for the installation of these plants. In order to rank the alternatives, the discrete multi-criteria decision method PROMETHEE (Preference Ranking Organisation METHod for Enrichment Evaluations), combined with a surveys of experts, is applied. As existing plants are located in North and East Spain, a significant concentration of top ranking municipalities can be observed in South and Central Spain. The method does not present an optimal structure of the future recycling system, but provides a selection of good alternatives for potential locations of recycling plants.

Computers↗

Overview of informatics for high content screening.

With the growing use of high content screening (HCS) and analysis in drug discovery and systems biology, informatics has come to the forefront as a critical technology to effectively utilize the massive volumes of high content data and images being generated. Informatics technologies are required to transform HCS data and images into useful information and then into knowledge to drive decision making in an efficient and cost effective manner. In this chapter, we provide an overview of informatics tools and technologies for HCS, discuss some of the challenges of harnessing the huge and growing volumes of HCS data, and provide insight to help toward implementing or selecting, and utilizing a high content informatics solution to meet your organization's needs.

Computers↗