{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/4066"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/4066","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"Comparison of Children's 24-Hour Recalls and Food Records Using Two Methods of Analysis","abstract":"The purpose of the study was to determine which dietary assessment method, the 24-hour recall or the food record, would yield data that equates the greatest to the Spears Point-of-Sale-Dietary Assessment-Tool (Spears POS-DAT). The second purpose of the study was to determine which analysis method, the conventional approach or the reporting-error-sensitive approach, accurately reflected a child's reported dietary intake determined by 24-hour recall or food records in comparison to the Spears POS-DAT.A descriptive, quantitative study was conducted. Subjects were fourth and fifth grade children enrolled in the 2006-2007 school year at a local charter elementary school (n=40). For two weeks Spears POS-DAT values were obtained at lunch to determine the actual amount of foods eaten. During this time, students kept a 3-day food record and were interviewed to obtain a single day 24-hour recall. Data was analyzed for 24-hour recalls and food records using two different analysis methods. The conventional method compared mean reported intake to mean reference intake (from the Spears POS-DAT) by converting food into energy and macronutrients. The reporting-error-sensitive method classifies items as matches, omissions, or intrusions and amounts as corresponding, over or unreported. Paired t-tests, correlation coefficients, report rates (reported amounts/reference amounts x 100) and correspondence rates (corresponding amounts from matches/reference amounts x 100) were calculated.Conventional analysis for 24-hour recalls found significant differences for mean protein (p=0.04) and carbohydrates (p=0.05), but not for energy (p=0.09) or fat (p=0.33). Report rates ranged from124%-131%, indicating over-reporting. Food records had no significant differences between mean reported and mean reference amounts for energy and macronutrients, with food record report rates ranging from 95% to 112%.Reporting-error-sensitive analysis found significant differences between energy and macronutrients for 24-hour recalls and food records when comparing mean reference amounts to mean corresponding amounts from matches (all p-values < 0.001). Correspondence rates for 24-hour recalls were 61% to 67% and 60% to 67% for food records. Based on conventional analysis, food records were more accurate than 24-hour recalls; this was not substantiated by the reporting-error-sensitive analysis. Conventional methods overestimated reporting accuracy. The reporting-error-sensitive analysis method provided additional information regarding reporting accuracy. Further studiesare needed to confirm these findings.","abstract_html":"The purpose of the study was to determine which dietary assessment method, the 24-hour recall or the food record, would yield data that equates the greatest to the Spears Point-of-Sale-Dietary Assessment-Tool (Spears POS-DAT). The second purpose of the study was to determine which analysis method, the conventional approach or the reporting-error-sensitive approach, accurately reflected a child&#x27;s reported dietary intake determined by 24-hour recall or food records in comparison to the Spears POS-DAT.A descriptive, quantitative study was conducted. Subjects were fourth and fifth grade children enrolled in the 2006-2007 school year at a local charter elementary school (n=40). For two weeks Spears POS-DAT values were obtained at lunch to determine the actual amount of foods eaten. During this time, students kept a 3-day food record and were interviewed to obtain a single day 24-hour recall. Data was analyzed for 24-hour recalls and food records using two different analysis methods. The conventional method compared mean reported intake to mean reference intake (from the Spears POS-DAT) by converting food into energy and macronutrients. The reporting-error-sensitive method classifies items as matches, omissions, or intrusions and amounts as corresponding, over or unreported. Paired t-tests, correlation coefficients, report rates (reported amounts/reference amounts x 100) and correspondence rates (corresponding amounts from matches/reference amounts x 100) were calculated.Conventional analysis for 24-hour recalls found significant differences for mean protein (p=0.04) and carbohydrates (p=0.05), but not for energy (p=0.09) or fat (p=0.33). Report rates ranged from124%-131%, indicating over-reporting. Food records had no significant differences between mean reported and mean reference amounts for energy and macronutrients, with food record report rates ranging from 95% to 112%.Reporting-error-sensitive analysis found significant differences between energy and macronutrients for 24-hour recalls and food records when comparing mean reference amounts to mean corresponding amounts from matches (all p-values &lt; 0.001). Correspondence rates for 24-hour recalls were 61% to 67% and 60% to 67% for food records. Based on conventional analysis, food records were more accurate than 24-hour recalls; this was not substantiated by the reporting-error-sensitive analysis. Conventional methods overestimated reporting accuracy. The reporting-error-sensitive analysis method provided additional information regarding reporting accuracy. Further studiesare needed to confirm these findings.","abstract_has_math":false,"creators":["Nielsen, Katherine M."],"institution":null,"degree_name":null,"degree_level":"Master's Degree","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Spears, Karen"],"committee_chairs":[],"committee_members":["Benedict, Jamie","Usinger, Janet"],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-27T21:47:25Z","subjects":["24-hour dietary recalls","Children","Conventional analysis","Food records","Reporting-error-senstive analysis"],"languages":[],"rights":["In Copyright(All Rights Reserved)"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/4066","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Spears, Karen"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Benedict, Jamie","Usinger, Janet"]},{"key":"dc:creator","label":"Author","values":["Nielsen, Katherine M."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-09-06T17:20:22Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-09-06T17:20:22Z"]},{"key":"dc:date.issued","label":"Date","values":["2009"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's Degree"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["24-hour dietary recalls","Children","Conventional analysis","Food records","Reporting-error-senstive analysis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright(All Rights Reserved)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/4066"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The purpose of the study was to determine which dietary assessment method, the 24-hour recall or the food record, would yield data that equates the greatest to the Spears Point-of-Sale-Dietary Assessment-Tool (Spears POS-DAT). The second purpose of the study was to determine which analysis method, the conventional approach or the reporting-error-sensitive approach, accurately reflected a child's reported dietary intake determined by 24-hour recall or food records in comparison to the Spears POS-DAT.A descriptive, quantitative study was conducted. Subjects were fourth and fifth grade children enrolled in the 2006-2007 school year at a local charter elementary school (n=40). For two weeks Spears POS-DAT values were obtained at lunch to determine the actual amount of foods eaten. During this time, students kept a 3-day food record and were interviewed to obtain a single day 24-hour recall. Data was analyzed for 24-hour recalls and food records using two different analysis methods. The conventional method compared mean reported intake to mean reference intake (from the Spears POS-DAT) by converting food into energy and macronutrients. The reporting-error-sensitive method classifies items as matches, omissions, or intrusions and amounts as corresponding, over or unreported. Paired t-tests, correlation coefficients, report rates (reported amounts/reference amounts x 100) and correspondence rates (corresponding amounts from matches/reference amounts x 100) were calculated.Conventional analysis for 24-hour recalls found significant differences for mean protein (p=0.04) and carbohydrates (p=0.05), but not for energy (p=0.09) or fat (p=0.33). Report rates ranged from124%-131%, indicating over-reporting. Food records had no significant differences between mean reported and mean reference amounts for energy and macronutrients, with food record report rates ranging from 95% to 112%.Reporting-error-sensitive analysis found significant differences between energy and macronutrients for 24-hour recalls and food records when comparing mean reference amounts to mean corresponding amounts from matches (all p-values < 0.001). Correspondence rates for 24-hour recalls were 61% to 67% and 60% to 67% for food records. Based on conventional analysis, food records were more accurate than 24-hour recalls; this was not substantiated by the reporting-error-sensitive analysis. Conventional methods overestimated reporting accuracy. The reporting-error-sensitive analysis method provided additional information regarding reporting accuracy. Further studiesare needed to confirm these findings."]},{"key":"dc:format","label":"Dc Format","values":["PDF"]},{"key":"dc:title","label":"Title","values":["Comparison of Children's 24-Hour Recalls and Food Records Using Two Methods of Analysis"]}]}],"canonical_facts":{"dc:contributor.advisor":["Spears, Karen"],"dc:contributor.committeemember":["Benedict, Jamie","Usinger, Janet"],"dc:creator":["Nielsen, Katherine M."],"dc:date.accessioned":["2018-09-06T17:20:22Z"],"dc:date.available":["2018-09-06T17:20:22Z"],"dc:date.issued":["2009"],"dc:description.abstract":["The purpose of the study was to determine which dietary assessment method, the 24-hour recall or the food record, would yield data that equates the greatest to the Spears Point-of-Sale-Dietary Assessment-Tool (Spears POS-DAT). The second purpose of the study was to determine which analysis method, the conventional approach or the reporting-error-sensitive approach, accurately reflected a child's reported dietary intake determined by 24-hour recall or food records in comparison to the Spears POS-DAT.A descriptive, quantitative study was conducted. Subjects were fourth and fifth grade children enrolled in the 2006-2007 school year at a local charter elementary school (n=40). For two weeks Spears POS-DAT values were obtained at lunch to determine the actual amount of foods eaten. During this time, students kept a 3-day food record and were interviewed to obtain a single day 24-hour recall. Data was analyzed for 24-hour recalls and food records using two different analysis methods. The conventional method compared mean reported intake to mean reference intake (from the Spears POS-DAT) by converting food into energy and macronutrients. The reporting-error-sensitive method classifies items as matches, omissions, or intrusions and amounts as corresponding, over or unreported. Paired t-tests, correlation coefficients, report rates (reported amounts/reference amounts x 100) and correspondence rates (corresponding amounts from matches/reference amounts x 100) were calculated.Conventional analysis for 24-hour recalls found significant differences for mean protein (p=0.04) and carbohydrates (p=0.05), but not for energy (p=0.09) or fat (p=0.33). Report rates ranged from124%-131%, indicating over-reporting. Food records had no significant differences between mean reported and mean reference amounts for energy and macronutrients, with food record report rates ranging from 95% to 112%.Reporting-error-sensitive analysis found significant differences between energy and macronutrients for 24-hour recalls and food records when comparing mean reference amounts to mean corresponding amounts from matches (all p-values < 0.001). Correspondence rates for 24-hour recalls were 61% to 67% and 60% to 67% for food records. Based on conventional analysis, food records were more accurate than 24-hour recalls; this was not substantiated by the reporting-error-sensitive analysis. Conventional methods overestimated reporting accuracy. The reporting-error-sensitive analysis method provided additional information regarding reporting accuracy. Further studiesare needed to confirm these findings."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/4066"],"dc:rights":["In Copyright(All Rights Reserved)"],"dc:subject":["24-hour dietary recalls","Children","Conventional analysis","Food records","Reporting-error-senstive analysis"],"dc:title":["Comparison of Children's 24-Hour Recalls and Food Records Using Two Methods of Analysis"],"dc:type":["Thesis"],"thesis:degree_level":["Master's Degree"]},"updated_at":"2026-07-27T21:47:25Z"}