Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults
Objective: To determine the minimum number of days of dietary intake interviews required to reduce the effects of random error (day-to-day variability in dietary intake) when using the multiple-pass, multiple-day, 24-h recall method. Design: Cross-sectional study. Setting: University research depart...
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Veröffentlicht in: | European journal of clinical nutrition 2008-04, Vol.62 (4), p.537-543 |
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description | Objective: To determine the minimum number of days of dietary intake interviews required to reduce the effects of random error (day-to-day variability in dietary intake) when using the multiple-pass, multiple-day, 24-h recall method. Design: Cross-sectional study. Setting: University research department. Subjects: A total of 50 healthy non-smoking overweight and obese (body mass index=26-40 kg/m2) adult men and women aged 39-45 years completed the study. Participants were randomly selected from volunteers for a larger unrelated study. Interventions: Each participant completed 10, multiple-pass, 24-h recall interviews on randomly chosen days over 4 weeks. The minimum number of record days was determined for each macronutrient (carbohydrate, fat, protein) and energy, for each gender, to obtain a 'true' (unobservable) representative intake from reported (observed) dietary intakes. Results: The greatest number of days required to obtain a 'true' representative intake was 8 days. Carbohydrate intakes required the greatest number of days of dietary record among males (7 days), whereas protein required the greatest number of days among females (8 days) in this cohort. Sunday was the day of the week that showed greatest variability in macronutrient intakes. Protein (P |
doi_str_mv | 10.1038/sj.ejcn.1602740 |
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Design: Cross-sectional study. Setting: University research department. Subjects: A total of 50 healthy non-smoking overweight and obese (body mass index=26-40 kg/m2) adult men and women aged 39-45 years completed the study. Participants were randomly selected from volunteers for a larger unrelated study. Interventions: Each participant completed 10, multiple-pass, 24-h recall interviews on randomly chosen days over 4 weeks. The minimum number of record days was determined for each macronutrient (carbohydrate, fat, protein) and energy, for each gender, to obtain a 'true' (unobservable) representative intake from reported (observed) dietary intakes. Results: The greatest number of days required to obtain a 'true' representative intake was 8 days. Carbohydrate intakes required the greatest number of days of dietary record among males (7 days), whereas protein required the greatest number of days among females (8 days) in this cohort. Sunday was the day of the week that showed greatest variability in macronutrient intakes. Protein (P<0.05) and fat (P<0.001) intakes were significantly more variable than carbohydrate on Sundays compared with weekdays, for both men and women. Conclusion: A logistically achievable 8 days of dietary intake interviews was sufficient to minimize the effect of random error when using the multiple-pass, 24-h recall dietary intake method. Sunday should be included among the dietary interview days to ensure a 'true' representation of macronutrient intakes. This method can be confidently applied to small cohort studies in which dietary intakes from different groups are to be compared or to investigations of associations between nutrient intakes and disease.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/sj.ejcn.1602740</identifier><identifier>PMID: 17375109</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Adult ; adults ; Biological and medical sciences ; Body Mass Index ; Body size ; Body weight ; Carbohydrates ; Clinical Nutrition ; Cohort Studies ; Cross-Sectional Studies ; Demographic aspects ; Diet ; diet recall ; Diet Surveys ; dietary carbohydrate ; Dietary Carbohydrates - administration & dosage ; Dietary Fats - administration & dosage ; Dietary intake ; dietary protein ; Dietary Proteins - administration & dosage ; Energy Intake - physiology ; Epidemiology ; Error analysis (Mathematics) ; Errors ; Feeding. Feeding behavior ; Female ; Females ; Food and nutrition ; Food intake ; Fundamental and applied biological sciences. Psychology ; gender differences ; Humans ; Internal Medicine ; Male ; Males ; Medical sciences ; Medicine ; Medicine & Public Health ; Men ; Mental Recall ; Metabolic Diseases ; Methods ; nutrient intake ; Nutrients ; Nutrition Assessment ; Obesity ; Obesity - psychology ; original-article ; Overweight ; Overweight - psychology ; Overweight persons ; Proteins ; Public Health ; random error ; Random errors ; Recall ; Reproducibility of Results ; Research methodology ; Sensitivity and Specificity ; Sex Distribution ; statistical analysis ; Time Factors ; Variability ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; Women</subject><ispartof>European journal of clinical nutrition, 2008-04, Vol.62 (4), p.537-543</ispartof><rights>Springer Nature Limited 2008</rights><rights>2008 INIST-CNRS</rights><rights>COPYRIGHT 2008 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 2008</rights><rights>Nature Publishing Group 2008.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c594t-189ebe265037ac98a0c6b82d0b99ede20b8b37f630210a7aa991f37a1b336e793</citedby><cites>FETCH-LOGICAL-c594t-189ebe265037ac98a0c6b82d0b99ede20b8b37f630210a7aa991f37a1b336e793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.ejcn.1602740$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.ejcn.1602740$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20207480$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17375109$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jackson, K.A</creatorcontrib><creatorcontrib>Byrne, N.M</creatorcontrib><creatorcontrib>Magarey, A.M</creatorcontrib><creatorcontrib>Hills, A.P</creatorcontrib><title>Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Objective: To determine the minimum number of days of dietary intake interviews required to reduce the effects of random error (day-to-day variability in dietary intake) when using the multiple-pass, multiple-day, 24-h recall method. Design: Cross-sectional study. Setting: University research department. Subjects: A total of 50 healthy non-smoking overweight and obese (body mass index=26-40 kg/m2) adult men and women aged 39-45 years completed the study. Participants were randomly selected from volunteers for a larger unrelated study. Interventions: Each participant completed 10, multiple-pass, 24-h recall interviews on randomly chosen days over 4 weeks. The minimum number of record days was determined for each macronutrient (carbohydrate, fat, protein) and energy, for each gender, to obtain a 'true' (unobservable) representative intake from reported (observed) dietary intakes. Results: The greatest number of days required to obtain a 'true' representative intake was 8 days. Carbohydrate intakes required the greatest number of days of dietary record among males (7 days), whereas protein required the greatest number of days among females (8 days) in this cohort. Sunday was the day of the week that showed greatest variability in macronutrient intakes. Protein (P<0.05) and fat (P<0.001) intakes were significantly more variable than carbohydrate on Sundays compared with weekdays, for both men and women. Conclusion: A logistically achievable 8 days of dietary intake interviews was sufficient to minimize the effect of random error when using the multiple-pass, 24-h recall dietary intake method. Sunday should be included among the dietary interview days to ensure a 'true' representation of macronutrient intakes. This method can be confidently applied to small cohort studies in which dietary intakes from different groups are to be compared or to investigations of associations between nutrient intakes and disease.</description><subject>Adult</subject><subject>adults</subject><subject>Biological and medical sciences</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Carbohydrates</subject><subject>Clinical Nutrition</subject><subject>Cohort Studies</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Diet</subject><subject>diet recall</subject><subject>Diet Surveys</subject><subject>dietary carbohydrate</subject><subject>Dietary Carbohydrates - administration & dosage</subject><subject>Dietary Fats - administration & dosage</subject><subject>Dietary intake</subject><subject>dietary protein</subject><subject>Dietary Proteins - administration & dosage</subject><subject>Energy Intake - physiology</subject><subject>Epidemiology</subject><subject>Error analysis (Mathematics)</subject><subject>Errors</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Females</subject><subject>Food and nutrition</subject><subject>Food intake</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>gender differences</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Males</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Men</subject><subject>Mental Recall</subject><subject>Metabolic Diseases</subject><subject>Methods</subject><subject>nutrient intake</subject><subject>Nutrients</subject><subject>Nutrition Assessment</subject><subject>Obesity</subject><subject>Obesity - psychology</subject><subject>original-article</subject><subject>Overweight</subject><subject>Overweight - psychology</subject><subject>Overweight persons</subject><subject>Proteins</subject><subject>Public Health</subject><subject>random error</subject><subject>Random errors</subject><subject>Recall</subject><subject>Reproducibility of Results</subject><subject>Research methodology</subject><subject>Sensitivity and Specificity</subject><subject>Sex Distribution</subject><subject>statistical analysis</subject><subject>Time Factors</subject><subject>Variability</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>Women</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kk1v1DAQhiMEokvhzA0sED2R7dhO7PhYVXxJRRygZ8tJJlmHxG7tBFR-PV5tRAG1siVbnmc-PPNm2XMKWwq8Oo3DFofGbakAJgt4kG1oIUVeigIeZhtQZZFzAHmUPYlxAEhGyR5nR1RyWVJQm6z-bJ2d7C_rehKMa_1EMAQfiHWktTibcJOus_mOkZgYMe2W1DeEFfmOBGzMOL7ds_4Hhp9o-91MUhTia4xITLuMc3yaPerMGPHZeh5nl-_ffTv_mF98-fDp_Owib0pVzDmtFNbIRAlcmkZVBhpRV6yFWilskUFd1Vx2ggOjYKQxStEuobTmXKBU_Dg7OcS9Cv56wTjrycYGx9E49EvUEgpBmaoS-Po_cPBLcKk2zUTBJJRMykS9upeiSohCliJB-QHqzYjaus7PwTQ9Ogxm9A47m57PaKqOCsn3qbd38Gm1ONnmToeTvxx2aMZ5F_24zNa7-C94egCb4GMM2OmrYKc0Pk1B77Wi46D3WtGrVpLHi_WDSz1he8uv4kjAmxUwMQ26S_pobPzDMWAgi2ofCA5cTCbXY7jt1P25Xx5cOuO16UMKe_mVAU1irarUXuC_Acl_3hI</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Jackson, K.A</creator><creator>Byrne, N.M</creator><creator>Magarey, A.M</creator><creator>Hills, A.P</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</general><scope>FBQ</scope><scope>IQODW</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>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20080401</creationdate><title>Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults</title><author>Jackson, K.A ; Byrne, N.M ; Magarey, A.M ; Hills, A.P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c594t-189ebe265037ac98a0c6b82d0b99ede20b8b37f630210a7aa991f37a1b336e793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>adults</topic><topic>Biological and medical sciences</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Carbohydrates</topic><topic>Clinical Nutrition</topic><topic>Cohort Studies</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Diet</topic><topic>diet recall</topic><topic>Diet Surveys</topic><topic>dietary carbohydrate</topic><topic>Dietary Carbohydrates - administration & dosage</topic><topic>Dietary Fats - administration & dosage</topic><topic>Dietary intake</topic><topic>dietary protein</topic><topic>Dietary Proteins - administration & dosage</topic><topic>Energy Intake - physiology</topic><topic>Epidemiology</topic><topic>Error analysis (Mathematics)</topic><topic>Errors</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Females</topic><topic>Food and nutrition</topic><topic>Food intake</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>gender differences</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Males</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Men</topic><topic>Mental Recall</topic><topic>Metabolic Diseases</topic><topic>Methods</topic><topic>nutrient intake</topic><topic>Nutrients</topic><topic>Nutrition Assessment</topic><topic>Obesity</topic><topic>Obesity - psychology</topic><topic>original-article</topic><topic>Overweight</topic><topic>Overweight - psychology</topic><topic>Overweight persons</topic><topic>Proteins</topic><topic>Public Health</topic><topic>random error</topic><topic>Random errors</topic><topic>Recall</topic><topic>Reproducibility of Results</topic><topic>Research methodology</topic><topic>Sensitivity and Specificity</topic><topic>Sex Distribution</topic><topic>statistical analysis</topic><topic>Time Factors</topic><topic>Variability</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jackson, K.A</creatorcontrib><creatorcontrib>Byrne, N.M</creatorcontrib><creatorcontrib>Magarey, A.M</creatorcontrib><creatorcontrib>Hills, A.P</creatorcontrib><collection>AGRIS</collection><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>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</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>ProQuest Pharma Collection</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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jackson, K.A</au><au>Byrne, N.M</au><au>Magarey, A.M</au><au>Hills, A.P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2008-04-01</date><risdate>2008</risdate><volume>62</volume><issue>4</issue><spage>537</spage><epage>543</epage><pages>537-543</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Objective: To determine the minimum number of days of dietary intake interviews required to reduce the effects of random error (day-to-day variability in dietary intake) when using the multiple-pass, multiple-day, 24-h recall method. Design: Cross-sectional study. Setting: University research department. Subjects: A total of 50 healthy non-smoking overweight and obese (body mass index=26-40 kg/m2) adult men and women aged 39-45 years completed the study. Participants were randomly selected from volunteers for a larger unrelated study. Interventions: Each participant completed 10, multiple-pass, 24-h recall interviews on randomly chosen days over 4 weeks. The minimum number of record days was determined for each macronutrient (carbohydrate, fat, protein) and energy, for each gender, to obtain a 'true' (unobservable) representative intake from reported (observed) dietary intakes. Results: The greatest number of days required to obtain a 'true' representative intake was 8 days. Carbohydrate intakes required the greatest number of days of dietary record among males (7 days), whereas protein required the greatest number of days among females (8 days) in this cohort. Sunday was the day of the week that showed greatest variability in macronutrient intakes. Protein (P<0.05) and fat (P<0.001) intakes were significantly more variable than carbohydrate on Sundays compared with weekdays, for both men and women. Conclusion: A logistically achievable 8 days of dietary intake interviews was sufficient to minimize the effect of random error when using the multiple-pass, 24-h recall dietary intake method. Sunday should be included among the dietary interview days to ensure a 'true' representation of macronutrient intakes. This method can be confidently applied to small cohort studies in which dietary intakes from different groups are to be compared or to investigations of associations between nutrient intakes and disease.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>17375109</pmid><doi>10.1038/sj.ejcn.1602740</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult adults Biological and medical sciences Body Mass Index Body size Body weight Carbohydrates Clinical Nutrition Cohort Studies Cross-Sectional Studies Demographic aspects Diet diet recall Diet Surveys dietary carbohydrate Dietary Carbohydrates - administration & dosage Dietary Fats - administration & dosage Dietary intake dietary protein Dietary Proteins - administration & dosage Energy Intake - physiology Epidemiology Error analysis (Mathematics) Errors Feeding. Feeding behavior Female Females Food and nutrition Food intake Fundamental and applied biological sciences. Psychology gender differences Humans Internal Medicine Male Males Medical sciences Medicine Medicine & Public Health Men Mental Recall Metabolic Diseases Methods nutrient intake Nutrients Nutrition Assessment Obesity Obesity - psychology original-article Overweight Overweight - psychology Overweight persons Proteins Public Health random error Random errors Recall Reproducibility of Results Research methodology Sensitivity and Specificity Sex Distribution statistical analysis Time Factors Variability Vertebrates: anatomy and physiology, studies on body, several organs or systems Women |
title | Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults |
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