The Prevalence and Impact of ‘Atypical’ Days in 4-day Food Records
Objective To understand how days with atypical food intake affect estimates of usual nutrient intake from 4-day food records. Participants/Setting Secondary analyses of 4-day food records (4DFRs) (n=2,560) collected from 1,090 women, aged 50 to 79 years, who participated in the Women's Trial Fe...
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description | Objective To understand how days with atypical food intake affect estimates of usual nutrient intake from 4-day food records.
Participants/Setting Secondary analyses of 4-day food records (4DFRs) (n=2,560) collected from 1,090 women, aged 50 to 79 years, who participated in the Women's Trial Feasibility Study in Minority Populations, a randomized dietary intervention trial
Design Food records were classified as atypical if participants marked one or more day's food intake as “more than usual” or “less than usual.” Total amounts and nutrient densities (percent of energy or grams per 1,000 kcal) were examined for all macronutrients, fiber, vitamin C, beta carotene, and calcium.
Statistical analysis Contingency tables were used to examine associations of demographic characteristics with the likelihood of completing a 4DFR with atypical intake days. Analysis of variance was used to test whether nutrient intake differed among records with and without atypical days. Student t tests were used to identify any differences in total energy and percent energy from fat among typical and atypical intake days.
Results Approximately 16% of records included at least 1 atypical day. Reporting less-than-usual intake was associated with younger age, higher income, and higher body mass index. Black women were less likely to report more-than-usual intake than whites and Hispanics. Records with less-than-usual intake had lower intakes of all nutrients analyzed except alcohol; however, there were no differences in nutrient densities. Records with more-than-usual intake had higher intakes of alcohol and all nutrients except beta carotene and vitamin C, with higher nutrient density measures of alcohol and decreased nutrient density measures of protein, vitamin C, and fiber.
Conclusions Atypical intake days are common in 4DFRs and they have a large effect on mean total intakes of most nutrients.
Applications It is important for researchers to collect information on atypical intake days included in a 4-day food record. Strategies are needed to incorporate information on atypical intake days when analyzing and interpreting research results.
J Am Diet Assoc. 2000;100:421-422, 425-427. |
doi_str_mv | 10.1016/S0002-8223(00)00130-9 |
format | Article |
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Participants/Setting Secondary analyses of 4-day food records (4DFRs) (n=2,560) collected from 1,090 women, aged 50 to 79 years, who participated in the Women's Trial Feasibility Study in Minority Populations, a randomized dietary intervention trial
Design Food records were classified as atypical if participants marked one or more day's food intake as “more than usual” or “less than usual.” Total amounts and nutrient densities (percent of energy or grams per 1,000 kcal) were examined for all macronutrients, fiber, vitamin C, beta carotene, and calcium.
Statistical analysis Contingency tables were used to examine associations of demographic characteristics with the likelihood of completing a 4DFR with atypical intake days. Analysis of variance was used to test whether nutrient intake differed among records with and without atypical days. Student t tests were used to identify any differences in total energy and percent energy from fat among typical and atypical intake days.
Results Approximately 16% of records included at least 1 atypical day. Reporting less-than-usual intake was associated with younger age, higher income, and higher body mass index. Black women were less likely to report more-than-usual intake than whites and Hispanics. Records with less-than-usual intake had lower intakes of all nutrients analyzed except alcohol; however, there were no differences in nutrient densities. Records with more-than-usual intake had higher intakes of alcohol and all nutrients except beta carotene and vitamin C, with higher nutrient density measures of alcohol and decreased nutrient density measures of protein, vitamin C, and fiber.
Conclusions Atypical intake days are common in 4DFRs and they have a large effect on mean total intakes of most nutrients.
Applications It is important for researchers to collect information on atypical intake days included in a 4-day food record. Strategies are needed to incorporate information on atypical intake days when analyzing and interpreting research results.
J Am Diet Assoc. 2000;100:421-422, 425-427.</description><identifier>ISSN: 0002-8223</identifier><identifier>ISSN: 2212-2672</identifier><identifier>EISSN: 1878-3570</identifier><identifier>EISSN: 2212-2680</identifier><identifier>DOI: 10.1016/S0002-8223(00)00130-9</identifier><identifier>PMID: 10767897</identifier><identifier>CODEN: JADAAE</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject><![CDATA[African Americans ; Aged ; Alcohol Drinking ; Ascorbic Acid - administration & dosage ; beta Carotene - administration & dosage ; Biological and medical sciences ; Body Mass Index ; Calcium, Dietary - administration & dosage ; Diaries ; Diet ; Diet Records ; Dietary Carbohydrates - administration & dosage ; Dietary Fats - administration & dosage ; Dietary Fiber - administration & dosage ; Dietary Proteins - administration & dosage ; Eating ; Educational Status ; European Continental Ancestry Group ; Experimental design ; Female ; Food habits ; Hispanic Americans ; Human physiology applied to population studies and life conditions. Human ecophysiology ; Humans ; Medical research ; Medical sciences ; Middle Aged ; Nutrition ; Nutrition surveys ; Nutritional survey. Food supply and nutritional requirement ; Randomized Controlled Trials as Topic ; Social Class]]></subject><ispartof>Journal of the American Dietetic Association, 2000-04, Vol.100 (4), p.421-427</ispartof><rights>2000 American Dietetic Association</rights><rights>2000 INIST-CNRS</rights><rights>COPYRIGHT 2000 Elsevier Science Publishers</rights><rights>Copyright American Dietetic Association Apr 2000</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-d880c6b507cab48714159f0f00ae55738c3be9977681a4739de88a96d0ec8e3e3</citedby><cites>FETCH-LOGICAL-c525t-d880c6b507cab48714159f0f00ae55738c3be9977681a4739de88a96d0ec8e3e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0002-8223(00)00130-9$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1325449$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10767897$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>CRAIG, MARY RUTH</creatorcontrib><creatorcontrib>KRISTAL, ALAN R</creatorcontrib><creatorcontrib>CHENEY, CARRIE L</creatorcontrib><creatorcontrib>SHATTUCK, ANN L</creatorcontrib><title>The Prevalence and Impact of ‘Atypical’ Days in 4-day Food Records</title><title>Journal of the American Dietetic Association</title><addtitle>J Am Diet Assoc</addtitle><description>Objective To understand how days with atypical food intake affect estimates of usual nutrient intake from 4-day food records.
Participants/Setting Secondary analyses of 4-day food records (4DFRs) (n=2,560) collected from 1,090 women, aged 50 to 79 years, who participated in the Women's Trial Feasibility Study in Minority Populations, a randomized dietary intervention trial
Design Food records were classified as atypical if participants marked one or more day's food intake as “more than usual” or “less than usual.” Total amounts and nutrient densities (percent of energy or grams per 1,000 kcal) were examined for all macronutrients, fiber, vitamin C, beta carotene, and calcium.
Statistical analysis Contingency tables were used to examine associations of demographic characteristics with the likelihood of completing a 4DFR with atypical intake days. Analysis of variance was used to test whether nutrient intake differed among records with and without atypical days. Student t tests were used to identify any differences in total energy and percent energy from fat among typical and atypical intake days.
Results Approximately 16% of records included at least 1 atypical day. Reporting less-than-usual intake was associated with younger age, higher income, and higher body mass index. Black women were less likely to report more-than-usual intake than whites and Hispanics. Records with less-than-usual intake had lower intakes of all nutrients analyzed except alcohol; however, there were no differences in nutrient densities. Records with more-than-usual intake had higher intakes of alcohol and all nutrients except beta carotene and vitamin C, with higher nutrient density measures of alcohol and decreased nutrient density measures of protein, vitamin C, and fiber.
Conclusions Atypical intake days are common in 4DFRs and they have a large effect on mean total intakes of most nutrients.
Applications It is important for researchers to collect information on atypical intake days included in a 4-day food record. Strategies are needed to incorporate information on atypical intake days when analyzing and interpreting research results.
J Am Diet Assoc. 2000;100:421-422, 425-427.</description><subject>African Americans</subject><subject>Aged</subject><subject>Alcohol Drinking</subject><subject>Ascorbic Acid - administration & dosage</subject><subject>beta Carotene - administration & dosage</subject><subject>Biological and medical sciences</subject><subject>Body Mass Index</subject><subject>Calcium, Dietary - administration & dosage</subject><subject>Diaries</subject><subject>Diet</subject><subject>Diet Records</subject><subject>Dietary Carbohydrates - administration & dosage</subject><subject>Dietary Fats - administration & dosage</subject><subject>Dietary Fiber - administration & dosage</subject><subject>Dietary Proteins - administration & dosage</subject><subject>Eating</subject><subject>Educational Status</subject><subject>European Continental Ancestry Group</subject><subject>Experimental design</subject><subject>Female</subject><subject>Food habits</subject><subject>Hispanic Americans</subject><subject>Human physiology applied to population studies and life conditions. Human ecophysiology</subject><subject>Humans</subject><subject>Medical research</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Nutrition surveys</subject><subject>Nutritional survey. 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Human ecophysiology</topic><topic>Humans</topic><topic>Medical research</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Nutrition</topic><topic>Nutrition surveys</topic><topic>Nutritional survey. Food supply and nutritional requirement</topic><topic>Randomized Controlled Trials as Topic</topic><topic>Social Class</topic><toplevel>online_resources</toplevel><creatorcontrib>CRAIG, MARY RUTH</creatorcontrib><creatorcontrib>KRISTAL, ALAN R</creatorcontrib><creatorcontrib>CHENEY, CARRIE L</creatorcontrib><creatorcontrib>SHATTUCK, ANN L</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>Gale In Context: High School</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</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>Science Database (Alumni Edition)</collection><collection>STEM Database</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 Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</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>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Research Library China</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 China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Dietetic Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CRAIG, MARY RUTH</au><au>KRISTAL, ALAN R</au><au>CHENEY, CARRIE L</au><au>SHATTUCK, ANN L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Prevalence and Impact of ‘Atypical’ Days in 4-day Food Records</atitle><jtitle>Journal of the American Dietetic Association</jtitle><addtitle>J Am Diet Assoc</addtitle><date>2000-04-01</date><risdate>2000</risdate><volume>100</volume><issue>4</issue><spage>421</spage><epage>427</epage><pages>421-427</pages><issn>0002-8223</issn><issn>2212-2672</issn><eissn>1878-3570</eissn><eissn>2212-2680</eissn><coden>JADAAE</coden><abstract>Objective To understand how days with atypical food intake affect estimates of usual nutrient intake from 4-day food records.
Participants/Setting Secondary analyses of 4-day food records (4DFRs) (n=2,560) collected from 1,090 women, aged 50 to 79 years, who participated in the Women's Trial Feasibility Study in Minority Populations, a randomized dietary intervention trial
Design Food records were classified as atypical if participants marked one or more day's food intake as “more than usual” or “less than usual.” Total amounts and nutrient densities (percent of energy or grams per 1,000 kcal) were examined for all macronutrients, fiber, vitamin C, beta carotene, and calcium.
Statistical analysis Contingency tables were used to examine associations of demographic characteristics with the likelihood of completing a 4DFR with atypical intake days. Analysis of variance was used to test whether nutrient intake differed among records with and without atypical days. Student t tests were used to identify any differences in total energy and percent energy from fat among typical and atypical intake days.
Results Approximately 16% of records included at least 1 atypical day. Reporting less-than-usual intake was associated with younger age, higher income, and higher body mass index. Black women were less likely to report more-than-usual intake than whites and Hispanics. Records with less-than-usual intake had lower intakes of all nutrients analyzed except alcohol; however, there were no differences in nutrient densities. Records with more-than-usual intake had higher intakes of alcohol and all nutrients except beta carotene and vitamin C, with higher nutrient density measures of alcohol and decreased nutrient density measures of protein, vitamin C, and fiber.
Conclusions Atypical intake days are common in 4DFRs and they have a large effect on mean total intakes of most nutrients.
Applications It is important for researchers to collect information on atypical intake days included in a 4-day food record. Strategies are needed to incorporate information on atypical intake days when analyzing and interpreting research results.
J Am Diet Assoc. 2000;100:421-422, 425-427.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>10767897</pmid><doi>10.1016/S0002-8223(00)00130-9</doi><tpages>7</tpages></addata></record> |
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subjects | African Americans Aged Alcohol Drinking Ascorbic Acid - administration & dosage beta Carotene - administration & dosage Biological and medical sciences Body Mass Index Calcium, Dietary - administration & dosage Diaries Diet Diet Records Dietary Carbohydrates - administration & dosage Dietary Fats - administration & dosage Dietary Fiber - administration & dosage Dietary Proteins - administration & dosage Eating Educational Status European Continental Ancestry Group Experimental design Female Food habits Hispanic Americans Human physiology applied to population studies and life conditions. Human ecophysiology Humans Medical research Medical sciences Middle Aged Nutrition Nutrition surveys Nutritional survey. Food supply and nutritional requirement Randomized Controlled Trials as Topic Social Class |
title | The Prevalence and Impact of ‘Atypical’ Days in 4-day Food Records |
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