Evidence map›Paper›PMID 29381789›Full record

Trial reportThe American journal of clinical nutrition2018

Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.

Yikyung Park, Kevin W Dodd, Victor Kipnis, Frances E Thompson, Nancy Potischman, Dale A Schoeller, David J Baer, Douglas Midthune, Richard P Troiano, Heather Bowles and 1 more

3 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 229 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
229citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04779411 completednot on this mapstarted 2020, after this paper: background citation

Validation of a Lutein and Zeaxanthin Food Frequency Questionnaire, and an Electronic Device Use Questionnaire.

TypeobservationalSponsorThe University of QueenslandRan2020 to 2022Enrolled183ConditionsLutein and Zeaxanthin Dietary Intake, Age Related Macular Degeneration, Blue Light Exposure, Electronic Device UseArmsWeekly Food Frequency Questionnaire, Monthly Food Frequency Questionnaire, 24-Hour Diet Recall, Electronic Device Use Questionnaire, 24-Hour Electronic Device Use Diary
NCT05610137 completednot on this mapstarted 2022, after this paper: background citation

Application of the 24-hour Recall Methodology Assisted by Digital Photographs and Homologation With Colombian Foods for the Analysis of Dietary Intake

TypeobservationalSponsorVanessa Corrales AgudeloRan2022 to 2022Enrolled20ConditionsDietary Intake
NCT05652842 unknown statusnot on this mapstarted 2022, after this paper: background citation

Assessing the Impact of Rotational and Shift Work on Sleep, Activity, Energy Balance, and Food Choice in Adults

TypeobservationalSponsorMemorial University of NewfoundlandRan2022 to 2023Enrolled45ConditionsLife Style, Shift-Work, Food PreferencesArmsWork-type
3 · Its place in the literature

Who cites it

229 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  7. The Role of Household Social Support and Undermining in Dietary Change.International journal of behavioral medicine · 2026
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169 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yikyung ParkDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO.
Kevin W DoddDivisions of Cancer Prevention and Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Victor KipnisDivisions of Cancer Prevention and Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Frances E ThompsonDivisions of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Nancy PotischmanOffice of Dietary Supplements, NIH, Bethesda, MD.
Dale A SchoellerDepartment of Nutritional Sciences, College of Agricultural and Life Sciences, University of Wisconsin, Madison, WI.
David J BaerUSDA, Agricultural Research Service, Beltsville Human Nutrition Research Center, Beltsville, MD.
Douglas MidthuneDivisions of Cancer Prevention and Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Richard P TroianoDivisions of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Heather BowlesDivisions of Cancer Prevention and Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Amy F SubarDivisions of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.

Funding

NCI NIH HHS HHSN261201000057I
6 · The paper itself

Abstract

Background: A limited number of studies have evaluated self-reported dietary intakes against objective recovery biomarkers. Objective: The aim was to compare dietary intakes of multiple Automated Self-Administered 24-h recalls (ASA24s), 4-d food records (4DFRs), and food-frequency questionnaires (FFQs) against recovery biomarkers and to estimate the prevalence of under- and overreporting. Design: Over 12 mo, 530 men and 545 women, aged 50-74 y, were asked to complete 6 ASA24s (2011 version), 2 unweighed 4DFRs, 2 FFQs, two 24-h urine collections (biomarkers for protein, potassium, and sodium intakes), and 1 administration of doubly labeled water (biomarker for energy intake). Absolute and density-based energy-adjusted nutrient intakes were calculated. The prevalence of under- and overreporting of self-report against biomarkers was estimated. Results: Ninety-two percent of men and 87% of women completed ≥3 ASA24s (mean ASA24s completed: 5.4 and 5.1 for men and women, respectively). Absolute intakes of energy, protein, potassium, and sodium assessed by all self-reported instruments were systematically lower than those from recovery biomarkers, with underreporting greater for energy than for other nutrients. On average, compared with the energy biomarker, intake was underestimated by 15-17% on ASA24s, 18-21% on 4DFRs, and 29-34% on FFQs. Underreporting was more prevalent on FFQs than on ASA24s and 4DFRs and among obese individuals. Mean protein and sodium densities on ASA24s, 4DFRs, and FFQs were similar to biomarker values, but potassium density on FFQs was 26-40% higher, leading to a substantial increase in the prevalence of overreporting compared with absolute potassium intake. Conclusions: Although misreporting is present in all self-report dietary assessment tools, multiple ASA24s and a 4DFR provided the best estimates of absolute dietary intakes for these few nutrients and outperformed FFQs. Energy adjustment improved estimates from FFQs for protein and sodium but not for potassium. The ASA24, which now can be used to collect both recalls and records, is a feasible means to collect dietary data for nutrition research.

Indexed as

DietDiet RecordsMental RecallAgedBiomarkersBody Mass IndexExerciseFemaleHumansMaleMiddle AgedNitrogenNutrition AssessmentPotassiumSelf ReportSodiumBiomarkersNitrogenPotassiumSodium24-h recalls4-d food records, under-reporting, and overreportingdietary assessment, food-frequency questionnaire, recovery biomarker

Identifiers

PMID29381789
PMCPMC5972568

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.