A Practical Method for Collecting 3-Day Food Records in a Large Cohort
Background: Recent studies suggest that diet records are more valid measures of nutrient intake than are food-frequency questionnaires. However, food records are considered unsuitable for large studies due to the need to train participants and to review and correct completed records. Methods: We eva...
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Veröffentlicht in: | Epidemiology (Cambridge, Mass.) Mass.), 2005-07, Vol.16 (4), p.579-583 |
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creator | Kolar, Ann Shattuck Patterson, Ruth E. White, Emily Neuhouser, Marian L. Frank, Laura L. Standley, Judi Potter, John D. Kristal, Alan R. |
description | Background: Recent studies suggest that diet records are more valid measures of nutrient intake than are food-frequency questionnaires. However, food records are considered unsuitable for large studies due to the need to train participants and to review and correct completed records. Methods: We evaluated a self-administered 3-day food record protocol in Washington State. One hundred men and women age 50-76 years were mailed a food record and serving-size booklet. Sixty-five people returned a completed food record and were subsequently interviewed to obtain missing information. The food records were analyzed with and without added information from the interview. Results: The most common error was incomplete description, which affected 8% of recorded foods. Differences in mean nutrient intake between the uncorrected and corrected records were within 5%, and nutrient estimates from the 2 methods were highly correlated. Conclusions: This streamlined protocol yielded data comparable to those collected by more burdensome protocols, suggesting that the use of food records may be feasible in large cohort studies. |
doi_str_mv | 10.1097/01.ede.0000165363.27323.ac |
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However, food records are considered unsuitable for large studies due to the need to train participants and to review and correct completed records. Methods: We evaluated a self-administered 3-day food record protocol in Washington State. One hundred men and women age 50-76 years were mailed a food record and serving-size booklet. Sixty-five people returned a completed food record and were subsequently interviewed to obtain missing information. The food records were analyzed with and without added information from the interview. Results: The most common error was incomplete description, which affected 8% of recorded foods. Differences in mean nutrient intake between the uncorrected and corrected records were within 5%, and nutrient estimates from the 2 methods were highly correlated. Conclusions: This streamlined protocol yielded data comparable to those collected by more burdensome protocols, suggesting that the use of food records may be feasible in large cohort studies.</description><identifier>ISSN: 1044-3983</identifier><identifier>EISSN: 1531-5487</identifier><identifier>DOI: 10.1097/01.ede.0000165363.27323.ac</identifier><identifier>PMID: 15951680</identifier><language>eng</language><publisher>Philadelphia, PA: Lippincott Williams & Wilkins</publisher><subject>Aged ; Biological and medical sciences ; Brief Reports ; Cohort Studies ; Diet Records ; Diet Surveys ; Eating ; Epidemiology ; Error rates ; Feeding Behavior ; Female ; Food ; Food intake ; Food records ; Humans ; Interviews as Topic ; Male ; Medical sciences ; Middle Aged ; Miscellaneous ; Nutrient intake ; Nutrients ; Pilot Projects ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Questionnaires ; Surveys and Questionnaires - standards ; Washington</subject><ispartof>Epidemiology (Cambridge, Mass.), 2005-07, Vol.16 (4), p.579-583</ispartof><rights>Copyright 2005 Lippincott Williams & Wilkins</rights><rights>2005 Lippincott Williams & Wilkins, Inc.</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4665-64df56069548277681b4142745f0e2b7fec532a56ff8fc5bd43080a386552f763</citedby><cites>FETCH-LOGICAL-c4665-64df56069548277681b4142745f0e2b7fec532a56ff8fc5bd43080a386552f763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/20486099$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/20486099$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,777,781,800,27905,27906,57998,58231</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17340614$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15951680$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kolar, Ann Shattuck</creatorcontrib><creatorcontrib>Patterson, Ruth E.</creatorcontrib><creatorcontrib>White, Emily</creatorcontrib><creatorcontrib>Neuhouser, Marian L.</creatorcontrib><creatorcontrib>Frank, Laura L.</creatorcontrib><creatorcontrib>Standley, Judi</creatorcontrib><creatorcontrib>Potter, John D.</creatorcontrib><creatorcontrib>Kristal, Alan R.</creatorcontrib><title>A Practical Method for Collecting 3-Day Food Records in a Large Cohort</title><title>Epidemiology (Cambridge, Mass.)</title><addtitle>Epidemiology</addtitle><description>Background: Recent studies suggest that diet records are more valid measures of nutrient intake than are food-frequency questionnaires. However, food records are considered unsuitable for large studies due to the need to train participants and to review and correct completed records. Methods: We evaluated a self-administered 3-day food record protocol in Washington State. One hundred men and women age 50-76 years were mailed a food record and serving-size booklet. Sixty-five people returned a completed food record and were subsequently interviewed to obtain missing information. The food records were analyzed with and without added information from the interview. Results: The most common error was incomplete description, which affected 8% of recorded foods. Differences in mean nutrient intake between the uncorrected and corrected records were within 5%, and nutrient estimates from the 2 methods were highly correlated. Conclusions: This streamlined protocol yielded data comparable to those collected by more burdensome protocols, suggesting that the use of food records may be feasible in large cohort studies.</description><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Brief Reports</subject><subject>Cohort Studies</subject><subject>Diet Records</subject><subject>Diet Surveys</subject><subject>Eating</subject><subject>Epidemiology</subject><subject>Error rates</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food intake</subject><subject>Food records</subject><subject>Humans</subject><subject>Interviews as Topic</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Nutrient intake</subject><subject>Nutrients</subject><subject>Pilot Projects</subject><subject>Public health. Hygiene</subject><subject>Public health. 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Hygiene-occupational medicine</topic><topic>Questionnaires</topic><topic>Surveys and Questionnaires - standards</topic><topic>Washington</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kolar, Ann Shattuck</creatorcontrib><creatorcontrib>Patterson, Ruth E.</creatorcontrib><creatorcontrib>White, Emily</creatorcontrib><creatorcontrib>Neuhouser, Marian L.</creatorcontrib><creatorcontrib>Frank, Laura L.</creatorcontrib><creatorcontrib>Standley, Judi</creatorcontrib><creatorcontrib>Potter, John D.</creatorcontrib><creatorcontrib>Kristal, Alan R.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Epidemiology (Cambridge, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kolar, Ann Shattuck</au><au>Patterson, Ruth E.</au><au>White, Emily</au><au>Neuhouser, Marian L.</au><au>Frank, Laura L.</au><au>Standley, Judi</au><au>Potter, John D.</au><au>Kristal, Alan R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Practical Method for Collecting 3-Day Food Records in a Large Cohort</atitle><jtitle>Epidemiology (Cambridge, Mass.)</jtitle><addtitle>Epidemiology</addtitle><date>2005-07</date><risdate>2005</risdate><volume>16</volume><issue>4</issue><spage>579</spage><epage>583</epage><pages>579-583</pages><issn>1044-3983</issn><eissn>1531-5487</eissn><abstract>Background: Recent studies suggest that diet records are more valid measures of nutrient intake than are food-frequency questionnaires. However, food records are considered unsuitable for large studies due to the need to train participants and to review and correct completed records. Methods: We evaluated a self-administered 3-day food record protocol in Washington State. One hundred men and women age 50-76 years were mailed a food record and serving-size booklet. Sixty-five people returned a completed food record and were subsequently interviewed to obtain missing information. The food records were analyzed with and without added information from the interview. Results: The most common error was incomplete description, which affected 8% of recorded foods. Differences in mean nutrient intake between the uncorrected and corrected records were within 5%, and nutrient estimates from the 2 methods were highly correlated. 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subjects | Aged Biological and medical sciences Brief Reports Cohort Studies Diet Records Diet Surveys Eating Epidemiology Error rates Feeding Behavior Female Food Food intake Food records Humans Interviews as Topic Male Medical sciences Middle Aged Miscellaneous Nutrient intake Nutrients Pilot Projects Public health. Hygiene Public health. Hygiene-occupational medicine Questionnaires Surveys and Questionnaires - standards Washington |
title | A Practical Method for Collecting 3-Day Food Records in a Large Cohort |
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