Development and simulated validation of a food-frequency questionnaire for the Colombian population
To develop a food-frequency questionnaire (FFQ) useful for ranking of nutrient intakes. Subjects consuming their regular diet completed 7 days of weighed intake registry (7-WIR). Foods for the FFQ were selected by stepwise multiple regression. The FFQ was then completed for each subject using data o...
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creator | Bautista, Leonelo E Herrán, Oscar F Pryer, Jane A |
description | To develop a food-frequency questionnaire (FFQ) useful for ranking of nutrient intakes.
Subjects consuming their regular diet completed 7 days of weighed intake registry (7-WIR). Foods for the FFQ were selected by stepwise multiple regression. The FFQ was then completed for each subject using data on individual food consumption from the 7-WIR. The correlation and agreement between the extrapolated FFQ and the 7-WIR data were assessed using Spearman's rank correlation coefficients (rS) and Bland and Altman's limits of agreement (LOA).
Bucaramanga, Colombia.
We studied 97 randomly selected 20-40-year-old subjects.
Sixty foods were selected for the FFQ. The 7-WIR and the extrapolated FFQ intake estimates correlated well. rS was 0.58 for energy, 0.53 for carbohydrate, 0.50 for total fat, and 0.48 for protein. For micronutrients, rS varied from 0.46 (manganese) to 0.71 (vitamin B12). FFQ average intake estimates were 83%, 80%, 86.2% and 86.4% of 7-WIR estimates for energy, carbohydrate, total fat and protein, respectively. LOA for these nutrients ranged between 45% and 165%. FFQ micronutrient intakes were on average 96% (median) of those from the 7-WIR, and the median lower and upper LOA were 50% and 203%. However, there was no indication that the degree of agreement varied with the level of intake.
According to our simulated validation, this FFQ may be useful to rank subjects by nutrient intake. Its validity against standard independent measurements and its applicability to other subsets of the Colombian population should be carefully considered. |
doi_str_mv | 10.1079/PHN2004672 |
format | Article |
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Subjects consuming their regular diet completed 7 days of weighed intake registry (7-WIR). Foods for the FFQ were selected by stepwise multiple regression. The FFQ was then completed for each subject using data on individual food consumption from the 7-WIR. The correlation and agreement between the extrapolated FFQ and the 7-WIR data were assessed using Spearman's rank correlation coefficients (rS) and Bland and Altman's limits of agreement (LOA).
Bucaramanga, Colombia.
We studied 97 randomly selected 20-40-year-old subjects.
Sixty foods were selected for the FFQ. The 7-WIR and the extrapolated FFQ intake estimates correlated well. rS was 0.58 for energy, 0.53 for carbohydrate, 0.50 for total fat, and 0.48 for protein. For micronutrients, rS varied from 0.46 (manganese) to 0.71 (vitamin B12). FFQ average intake estimates were 83%, 80%, 86.2% and 86.4% of 7-WIR estimates for energy, carbohydrate, total fat and protein, respectively. LOA for these nutrients ranged between 45% and 165%. FFQ micronutrient intakes were on average 96% (median) of those from the 7-WIR, and the median lower and upper LOA were 50% and 203%. However, there was no indication that the degree of agreement varied with the level of intake.
According to our simulated validation, this FFQ may be useful to rank subjects by nutrient intake. Its validity against standard independent measurements and its applicability to other subsets of the Colombian population should be carefully considered.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1079/PHN2004672</identifier><identifier>PMID: 15877911</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adult ; adults ; carbohydrate intake ; Chronic illnesses ; Colombia ; Correlation coefficient ; Diet Records ; Diet Surveys ; Dietary Carbohydrates - administration & dosage ; Dietary Fats - administration & dosage ; dietary minerals ; Dietary Proteins - administration & dosage ; Disease ; eating habits ; Energy Intake ; fat intake ; Female ; Food ; food frequency questionnaires ; Food-frequency questionnaire ; Households ; Humans ; Male ; Manganese ; methodology ; Micronutrients ; Micronutrients - administration & dosage ; nutrient intake ; Nutrients ; Nutrition Assessment ; Nutrition research ; Nutritional assessment ; Nutritionists ; protein intake ; Questionnaires ; Regression Analysis ; Reproducibility of Results ; Sensitivity and Specificity ; Surveys and Questionnaires - standards ; vitamins ; Weighed food registry ; young adults</subject><ispartof>Public health nutrition, 2005-04, Vol.8 (2), p.181-188</ispartof><rights>Copyright © The Authors 2005</rights><rights>The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c544t-1692879411cf6c6b806dd19a3a8a3d493edc76229b70f5297f3c265fe0080bc83</citedby><cites>FETCH-LOGICAL-c544t-1692879411cf6c6b806dd19a3a8a3d493edc76229b70f5297f3c265fe0080bc83</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/15877911$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bautista, Leonelo E</creatorcontrib><creatorcontrib>Herrán, Oscar F</creatorcontrib><creatorcontrib>Pryer, Jane A</creatorcontrib><title>Development and simulated validation of a food-frequency questionnaire for the Colombian population</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>To develop a food-frequency questionnaire (FFQ) useful for ranking of nutrient intakes.
Subjects consuming their regular diet completed 7 days of weighed intake registry (7-WIR). Foods for the FFQ were selected by stepwise multiple regression. The FFQ was then completed for each subject using data on individual food consumption from the 7-WIR. The correlation and agreement between the extrapolated FFQ and the 7-WIR data were assessed using Spearman's rank correlation coefficients (rS) and Bland and Altman's limits of agreement (LOA).
Bucaramanga, Colombia.
We studied 97 randomly selected 20-40-year-old subjects.
Sixty foods were selected for the FFQ. The 7-WIR and the extrapolated FFQ intake estimates correlated well. rS was 0.58 for energy, 0.53 for carbohydrate, 0.50 for total fat, and 0.48 for protein. For micronutrients, rS varied from 0.46 (manganese) to 0.71 (vitamin B12). FFQ average intake estimates were 83%, 80%, 86.2% and 86.4% of 7-WIR estimates for energy, carbohydrate, total fat and protein, respectively. LOA for these nutrients ranged between 45% and 165%. FFQ micronutrient intakes were on average 96% (median) of those from the 7-WIR, and the median lower and upper LOA were 50% and 203%. However, there was no indication that the degree of agreement varied with the level of intake.
According to our simulated validation, this FFQ may be useful to rank subjects by nutrient intake. Its validity against standard independent measurements and its applicability to other subsets of the Colombian population should be carefully considered.</description><subject>Adult</subject><subject>adults</subject><subject>carbohydrate intake</subject><subject>Chronic illnesses</subject><subject>Colombia</subject><subject>Correlation coefficient</subject><subject>Diet Records</subject><subject>Diet Surveys</subject><subject>Dietary Carbohydrates - administration & dosage</subject><subject>Dietary Fats - administration & dosage</subject><subject>dietary minerals</subject><subject>Dietary Proteins - administration & dosage</subject><subject>Disease</subject><subject>eating habits</subject><subject>Energy Intake</subject><subject>fat intake</subject><subject>Female</subject><subject>Food</subject><subject>food frequency questionnaires</subject><subject>Food-frequency questionnaire</subject><subject>Households</subject><subject>Humans</subject><subject>Male</subject><subject>Manganese</subject><subject>methodology</subject><subject>Micronutrients</subject><subject>Micronutrients - administration & dosage</subject><subject>nutrient intake</subject><subject>Nutrients</subject><subject>Nutrition Assessment</subject><subject>Nutrition research</subject><subject>Nutritional assessment</subject><subject>Nutritionists</subject><subject>protein intake</subject><subject>Questionnaires</subject><subject>Regression Analysis</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Surveys and Questionnaires - standards</subject><subject>vitamins</subject><subject>Weighed food registry</subject><subject>young adults</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkU1v1DAQhi0EomXhwg-AiAMHRGD8kYx9RFvoAhUU0Z4tx7FLShIHO6nov8fLrlgJIXEaS_Po1TN-CXlM4RUFVK_PN58YgKiR3SHHVGBVMmR4N795LUslAY7Ig5SuAaBCxPvkiFYSUVF6TOyJu3F9mAY3zoUZ2yJ1w9Kb2bXFjem71sxdGIvgC1P4ENrSR_djcaO9LfJI2-VouujyMhbzN1esQx-GpjNjMYVpG5SJh-SeN31yj_ZzRS7fvb1Yb8qzz6fv12_OSlsJMZe0VkyiEpRaX9u6kVC3LVWGG2l4KxR3rcWaMdUg-Iop9NyyuvIOQEJjJV-R57vcKYbfdnroknV9b0YXlqRrlIAC2X9BzimiEJjBZ3-B12GJYz5CM8ZByiycoRc7yMaQUnReT7EbTLzVFPS2IH0oKMNP9olLM7j2gO4byUC5A7o0u59_9iZ-z_4cK12fftEfzjcfhTi5yKYr8nTHexO0uYpd0pdfGVAOoJTgavstL_d-Zmhi1165wxX_MPwFyWiw_w</recordid><startdate>20050401</startdate><enddate>20050401</enddate><creator>Bautista, Leonelo E</creator><creator>Herrán, Oscar F</creator><creator>Pryer, Jane A</creator><general>Cambridge University Press</general><scope>FBQ</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7T2</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope></search><sort><creationdate>20050401</creationdate><title>Development and simulated validation of a food-frequency questionnaire for the Colombian population</title><author>Bautista, Leonelo E ; Herrán, Oscar F ; Pryer, Jane A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c544t-1692879411cf6c6b806dd19a3a8a3d493edc76229b70f5297f3c265fe0080bc83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>adults</topic><topic>carbohydrate intake</topic><topic>Chronic illnesses</topic><topic>Colombia</topic><topic>Correlation coefficient</topic><topic>Diet Records</topic><topic>Diet Surveys</topic><topic>Dietary Carbohydrates - administration & dosage</topic><topic>Dietary Fats - administration & dosage</topic><topic>dietary minerals</topic><topic>Dietary Proteins - administration & dosage</topic><topic>Disease</topic><topic>eating habits</topic><topic>Energy Intake</topic><topic>fat intake</topic><topic>Female</topic><topic>Food</topic><topic>food frequency questionnaires</topic><topic>Food-frequency questionnaire</topic><topic>Households</topic><topic>Humans</topic><topic>Male</topic><topic>Manganese</topic><topic>methodology</topic><topic>Micronutrients</topic><topic>Micronutrients - administration & dosage</topic><topic>nutrient intake</topic><topic>Nutrients</topic><topic>Nutrition Assessment</topic><topic>Nutrition research</topic><topic>Nutritional assessment</topic><topic>Nutritionists</topic><topic>protein intake</topic><topic>Questionnaires</topic><topic>Regression Analysis</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Surveys and Questionnaires - standards</topic><topic>vitamins</topic><topic>Weighed food registry</topic><topic>young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bautista, Leonelo E</creatorcontrib><creatorcontrib>Herrán, Oscar F</creatorcontrib><creatorcontrib>Pryer, Jane A</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bautista, Leonelo E</au><au>Herrán, Oscar F</au><au>Pryer, Jane A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and simulated validation of a food-frequency questionnaire for the Colombian population</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2005-04-01</date><risdate>2005</risdate><volume>8</volume><issue>2</issue><spage>181</spage><epage>188</epage><pages>181-188</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>To develop a food-frequency questionnaire (FFQ) useful for ranking of nutrient intakes.
Subjects consuming their regular diet completed 7 days of weighed intake registry (7-WIR). Foods for the FFQ were selected by stepwise multiple regression. The FFQ was then completed for each subject using data on individual food consumption from the 7-WIR. The correlation and agreement between the extrapolated FFQ and the 7-WIR data were assessed using Spearman's rank correlation coefficients (rS) and Bland and Altman's limits of agreement (LOA).
Bucaramanga, Colombia.
We studied 97 randomly selected 20-40-year-old subjects.
Sixty foods were selected for the FFQ. The 7-WIR and the extrapolated FFQ intake estimates correlated well. rS was 0.58 for energy, 0.53 for carbohydrate, 0.50 for total fat, and 0.48 for protein. For micronutrients, rS varied from 0.46 (manganese) to 0.71 (vitamin B12). FFQ average intake estimates were 83%, 80%, 86.2% and 86.4% of 7-WIR estimates for energy, carbohydrate, total fat and protein, respectively. LOA for these nutrients ranged between 45% and 165%. FFQ micronutrient intakes were on average 96% (median) of those from the 7-WIR, and the median lower and upper LOA were 50% and 203%. However, there was no indication that the degree of agreement varied with the level of intake.
According to our simulated validation, this FFQ may be useful to rank subjects by nutrient intake. Its validity against standard independent measurements and its applicability to other subsets of the Colombian population should be carefully considered.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>15877911</pmid><doi>10.1079/PHN2004672</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult adults carbohydrate intake Chronic illnesses Colombia Correlation coefficient Diet Records Diet Surveys Dietary Carbohydrates - administration & dosage Dietary Fats - administration & dosage dietary minerals Dietary Proteins - administration & dosage Disease eating habits Energy Intake fat intake Female Food food frequency questionnaires Food-frequency questionnaire Households Humans Male Manganese methodology Micronutrients Micronutrients - administration & dosage nutrient intake Nutrients Nutrition Assessment Nutrition research Nutritional assessment Nutritionists protein intake Questionnaires Regression Analysis Reproducibility of Results Sensitivity and Specificity Surveys and Questionnaires - standards vitamins Weighed food registry young adults |
title | Development and simulated validation of a food-frequency questionnaire for the Colombian population |
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