Evidence map›Paper›PMID 35198846›Full record

ArticleCurrent developments in nutrition2022

How Accurately Can We Recall the Timing of Food Intake? A Comparison of Food Times from Recall-Based Survey Questions and Daily Food Records.

Siena C Gioia, Mélanie Guirette, Angela Chen, Chandler Tucker, Brianna E Gray, Céline Vetter, Marta Garaulet, Frank A J L Scheer, Richa Saxena, Hassan S Dashti

Abstract read
In one paragraph

Article in Current developments in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Siena C GioiaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Mélanie GuiretteCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Angela ChenCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Chandler TuckerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Brianna E GrayTranslational and Clinical Research Centers, Massachusetts General Hospital, Boston, MA, USA.
Céline VetterDepartment of Integrative Physiology, University of Colorado, Boulder, CO, USA.ORCID https://orcid.org/0000-0002-3752-1067
Marta GarauletDepartment of Physiology, University of Murcia, Murcia, Spain.ORCID https://orcid.org/0000-0002-4066-3509
Frank A J L ScheerBroad Institute, Cambridge, MA, USA.
Richa SaxenaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0003-2233-1065
Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0002-1650-679X

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Genetics of chronotype and impact on metabolic diseaseR01DK107859 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Richa Saxena · 2016 to 2026
$4.0M
Melatonin and Receptor Gene Variant: Linking Circadian System and Type 2 DiabetesR01DK102696 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2015 to 2019
$3.8M
Impact of Malatonin, Food Timing and Receptor Variant on Type 2 Diabetes RiskR01DK105072 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2016 to 2020
$3.2M
The impact of overnight nutrition support on sleep and circadian rhythm disruption in the ICUK99HL153795 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DASHTI, HASSAN S. · 2021 to 2022
$330k
NCATS NIH HHS UL1 TR002541NHLBI NIH HHS K99 HL153795NIDDK NIH HHS R01 DK102696NIDDK NIH HHS R01 DK105072NIDDK NIH HHS R01 DK107859
6 · The paper itself

Abstract

backgroundThere currently are no standard, low-cost, and validated methods to assess the timing of food intake.

objectivesThe aim of this study was to validate simple, recall-based questions that can characterize food timing in free-living populations.

methodsThe concordance between recall-based survey questions and food times estimated from multiple daily food records was assessed in 249 generally healthy, free-living adults from the Shift Work, Heredity, Insulin, and Food Timing (SHIFT) Study. At baseline, participants were asked: "At what time do you first start and stop eating on weekdays/workdays and weekends/non-workdays?" and "At what time do you have your main meal on weekdays/workdays and weekends/non-workdays?" Participants were then asked to complete ≤14 d of food records noting the start time of each eating occasion. The timing of the first, last, and main (largest percentage calories) eating occasions were determined from food records. Wilcoxon matched pairs signed rank and Kendall's coefficient of concordance were used to compare differences and determine agreements between the methods for these food timing parameters, as well as for the midpoint between first and last eating occasion.

resultsEating occasions on work and free days showed significant agreements between the 2 methods, except for the main eating occasion on free days. Significant agreements were generally modest and ranged from 0.16 (workdays main eating occasion) to 0.45 (workdays first eating occasion). Generally, times based on recall were later than those estimated from food records, and the differences in estimated times were smaller on workdays compared with free days, and smaller for the first compared with the last eating occasion. Main eating occasions from food records often varied between lunch and dinner times, contributing to low concordance with recalled times.

conclusionsModest agreements were found between food times derived from simple, recall-based survey questions and food times estimated from multiple-day food records. Single administration of these questions can effectively characterize the overall timing of eating occasions within a population for chrononutrition research purposes.

Indexed as

chrononutritiondietary assessmentfood recordfood timingintermittent fastingvalidation

Identifiers

PMID35198846
PMCPMC8856939

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.