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Design and validation of a program to identify inadequate intake of iron, zinc, and vitamin A

Abstract Objective The aim of this study was to create an innovative, easy-to-use, and informative web-based application system to calculate the iron, zinc, and vitamin A intake in comparison to the recommended nutrient intake (RNI). Methods Food survey data on commonly consumed Indonesian foods (12...

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Published in:Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2014-11, Vol.30 (11), p.1310-1317
Main Authors: Jati, Ignasius Radix A.P., M.Sc, Widmer, Christian, M.Sc, Purwestri, Ratna Chrismiari, Wirawan, Nia Novita, M.Sc, Gola, Ute, Lambert, Christine, Biesalski, Hans Konrad
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container_title Nutrition (Burbank, Los Angeles County, Calif.)
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creator Jati, Ignasius Radix A.P., M.Sc
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Gola, Ute
Lambert, Christine
Biesalski, Hans Konrad
description Abstract Objective The aim of this study was to create an innovative, easy-to-use, and informative web-based application system to calculate the iron, zinc, and vitamin A intake in comparison to the recommended nutrient intake (RNI). Methods Food survey data on commonly consumed Indonesian foods (122 foods) were recorded from 68 800 households. The data were used to extract 13 relevant food groups representing typical Indonesian dietary patterns and were incorporated into the development of new software called the Calculator of Inadequate Micronutrient Intake (CIMI). To validate, 24-h dietary recall data of children (n = 118) and adult women (n = 124) from Indonesia were collected and analyzed using CIMI and Nutrisurvey (NS) and the results were analyzed. Results CIMI calculates the absolute intake of energy, macronutrients, retinol, ß-carotene, retinol equivalents, iron, and zinc. The percentages of RNI fulfillment with regard to age and sex are presented. The bioavailability levels of iron and zinc are considered. Validation showed that results of CIMI and NS were comparable with regard to the average intake and range of data distribution ratio. Due to bioavailability factors, more participants who had intake of iron (adult group) and zinc (both groups) below the cutoff were detected by CIMI. The range of correlation coefficient of NS and CIMI were from 0.889 (energy) to 0.713 (iron) in the children's group and from 0.919 (protein) to 0.686 (vitamin A) in the adult group. Conclusion CIMI is a simple and rapid tool that calculates energy and nutrient intake, and also the percentage of nutrient fulfillment in comparison with the dietary recommendation.
doi_str_mv 10.1016/j.nut.2014.03.015
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Methods Food survey data on commonly consumed Indonesian foods (122 foods) were recorded from 68 800 households. The data were used to extract 13 relevant food groups representing typical Indonesian dietary patterns and were incorporated into the development of new software called the Calculator of Inadequate Micronutrient Intake (CIMI). To validate, 24-h dietary recall data of children (n = 118) and adult women (n = 124) from Indonesia were collected and analyzed using CIMI and Nutrisurvey (NS) and the results were analyzed. Results CIMI calculates the absolute intake of energy, macronutrients, retinol, ß-carotene, retinol equivalents, iron, and zinc. The percentages of RNI fulfillment with regard to age and sex are presented. The bioavailability levels of iron and zinc are considered. Validation showed that results of CIMI and NS were comparable with regard to the average intake and range of data distribution ratio. Due to bioavailability factors, more participants who had intake of iron (adult group) and zinc (both groups) below the cutoff were detected by CIMI. The range of correlation coefficient of NS and CIMI were from 0.889 (energy) to 0.713 (iron) in the children's group and from 0.919 (protein) to 0.686 (vitamin A) in the adult group. Conclusion CIMI is a simple and rapid tool that calculates energy and nutrient intake, and also the percentage of nutrient fulfillment in comparison with the dietary recommendation.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2014.03.015</identifier><identifier>PMID: 25280406</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; beta Carotene - administration &amp; dosage ; Bioavailability ; Biological Availability ; Child, Preschool ; CIMI ; Computer program ; Correlation coefficient ; Design ; Diet ; Diet Records ; Energy Intake ; Female ; Food ; Food groups ; Gastroenterology and Hepatology ; Households ; Humans ; Indonesia ; Infant ; Iron ; Iron - administration &amp; dosage ; Iron - deficiency ; Mental Recall ; Methods ; Micronutrient inadequacy ; Micronutrients - administration &amp; dosage ; Middle Aged ; Mortality ; Nutrients ; Nutrition ; Nutrition Assessment ; Nutritional Requirements ; Proteins ; Recommended Dietary Allowances ; Reproducibility of Results ; Studies ; Validation ; Vitamin A ; Vitamin A - administration &amp; dosage ; Young Adult ; Zinc ; Zinc - administration &amp; dosage ; Zinc - deficiency</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2014-11, Vol.30 (11), p.1310-1317</ispartof><rights>Elsevier Inc.</rights><rights>2014 Elsevier Inc.</rights><rights>Copyright © 2014 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Nov 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-d3dece00988e664fcdb5b61a54754bb35da8ff20ee1845e1d8cb0a9dee3d86e53</citedby><cites>FETCH-LOGICAL-c436t-d3dece00988e664fcdb5b61a54754bb35da8ff20ee1845e1d8cb0a9dee3d86e53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25280406$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jati, Ignasius Radix A.P., M.Sc</creatorcontrib><creatorcontrib>Widmer, Christian, M.Sc</creatorcontrib><creatorcontrib>Purwestri, Ratna Chrismiari</creatorcontrib><creatorcontrib>Wirawan, Nia Novita, M.Sc</creatorcontrib><creatorcontrib>Gola, Ute</creatorcontrib><creatorcontrib>Lambert, Christine</creatorcontrib><creatorcontrib>Biesalski, Hans Konrad</creatorcontrib><title>Design and validation of a program to identify inadequate intake of iron, zinc, and vitamin A</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>Abstract Objective The aim of this study was to create an innovative, easy-to-use, and informative web-based application system to calculate the iron, zinc, and vitamin A intake in comparison to the recommended nutrient intake (RNI). Methods Food survey data on commonly consumed Indonesian foods (122 foods) were recorded from 68 800 households. The data were used to extract 13 relevant food groups representing typical Indonesian dietary patterns and were incorporated into the development of new software called the Calculator of Inadequate Micronutrient Intake (CIMI). To validate, 24-h dietary recall data of children (n = 118) and adult women (n = 124) from Indonesia were collected and analyzed using CIMI and Nutrisurvey (NS) and the results were analyzed. Results CIMI calculates the absolute intake of energy, macronutrients, retinol, ß-carotene, retinol equivalents, iron, and zinc. The percentages of RNI fulfillment with regard to age and sex are presented. The bioavailability levels of iron and zinc are considered. Validation showed that results of CIMI and NS were comparable with regard to the average intake and range of data distribution ratio. Due to bioavailability factors, more participants who had intake of iron (adult group) and zinc (both groups) below the cutoff were detected by CIMI. The range of correlation coefficient of NS and CIMI were from 0.889 (energy) to 0.713 (iron) in the children's group and from 0.919 (protein) to 0.686 (vitamin A) in the adult group. 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Methods Food survey data on commonly consumed Indonesian foods (122 foods) were recorded from 68 800 households. The data were used to extract 13 relevant food groups representing typical Indonesian dietary patterns and were incorporated into the development of new software called the Calculator of Inadequate Micronutrient Intake (CIMI). To validate, 24-h dietary recall data of children (n = 118) and adult women (n = 124) from Indonesia were collected and analyzed using CIMI and Nutrisurvey (NS) and the results were analyzed. Results CIMI calculates the absolute intake of energy, macronutrients, retinol, ß-carotene, retinol equivalents, iron, and zinc. The percentages of RNI fulfillment with regard to age and sex are presented. The bioavailability levels of iron and zinc are considered. Validation showed that results of CIMI and NS were comparable with regard to the average intake and range of data distribution ratio. Due to bioavailability factors, more participants who had intake of iron (adult group) and zinc (both groups) below the cutoff were detected by CIMI. The range of correlation coefficient of NS and CIMI were from 0.889 (energy) to 0.713 (iron) in the children's group and from 0.919 (protein) to 0.686 (vitamin A) in the adult group. Conclusion CIMI is a simple and rapid tool that calculates energy and nutrient intake, and also the percentage of nutrient fulfillment in comparison with the dietary recommendation.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25280406</pmid><doi>10.1016/j.nut.2014.03.015</doi><tpages>8</tpages></addata></record>
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identifier ISSN: 0899-9007
ispartof Nutrition (Burbank, Los Angeles County, Calif.), 2014-11, Vol.30 (11), p.1310-1317
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subjects Adult
beta Carotene - administration & dosage
Bioavailability
Biological Availability
Child, Preschool
CIMI
Computer program
Correlation coefficient
Design
Diet
Diet Records
Energy Intake
Female
Food
Food groups
Gastroenterology and Hepatology
Households
Humans
Indonesia
Infant
Iron
Iron - administration & dosage
Iron - deficiency
Mental Recall
Methods
Micronutrient inadequacy
Micronutrients - administration & dosage
Middle Aged
Mortality
Nutrients
Nutrition
Nutrition Assessment
Nutritional Requirements
Proteins
Recommended Dietary Allowances
Reproducibility of Results
Studies
Validation
Vitamin A
Vitamin A - administration & dosage
Young Adult
Zinc
Zinc - administration & dosage
Zinc - deficiency
title Design and validation of a program to identify inadequate intake of iron, zinc, and vitamin A
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