Evidence map›Paper›PMID 36921904›Full record

ArticleThe American journal of clinical nutrition2023

Reliability estimates for assessing meal timing derived from longitudinal repeated 24-hour dietary recalls.

Lacie Peterson, Hyejung Lee, Inge Huybrechts, Carine Biessy, Marian L Neuhouser, Benjamin Haaland, Benjamin Krick, Marc Gunter, Matthias B Schulze, Franziska Jannasch and 6 more

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Meal Timing Patterns and Associations with Fat Mass in Adolescents.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Observational
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

16 authors.

Lacie PetersonDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Department Nutrition, Dietetics and Food Sciences, Utah State University, Logan, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
Hyejung LeeCancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
Inge HuybrechtsInternational Agency for Research on Cancer, WHO, Lyon, France.
Carine BiessyInternational Agency for Research on Cancer, WHO, Lyon, France.
Marian L NeuhouserCancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Benjamin HaalandDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
Benjamin KrickDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
Marc GunterInternational Agency for Research on Cancer, WHO, Lyon, France.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany; NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany.
Franziska JannaschDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany; NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany.
Adriana M ColettaDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States; Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States.
Sheetal HardikarDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States.
Amandine ChaixDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States; Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States.
Cici X BauerDepartment of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX, United States.
Qian XiaoDepartment of Epidemiology, Human Genetics, and Environmental Science, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Mary C PlaydonDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, United States; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States; Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States. Electronic address: mary.playdon@hci.utah.edu.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Mechanisms by which time-restricted feeding (TRF) delays the onset of age-related declines in health, cognition, and circadian rhythmsR01AG065993 · NIA · UNIVERSITY OF UTAH · PI CHAIX, AMANDINE H. · 2019 to 2023
$2.1M
Diabetes, Medications and the Cost-Effectiveness of Screening for Colorectal NeoplasiaK07CA222060 · NCI · UNIVERSITY OF UTAH · PI HARDIKAR, SHEETAL · 2018 to 2022
$791k
Blood metabolite profiles and risk of developing endometrial cancerR00CA218694 · NCI · UNIVERSITY OF UTAH · PI PLAYDON, MARY CHRISTINE · 2018 to 2020
$747k
NCI NIH HHS K07 CA222060NCI NIH HHS P30 CA042014NCI NIH HHS R00 CA218694NIA NIH HHS R01 AG065993World Health Organization 001
6 · The paper itself

Abstract

backgroundRegulating meal timing may have efficacy for improving metabolic health for preventing or managing chronic disease. However, the reliability of measuring meal timing with commonly used dietary assessment tools needs characterization prior to investigating meal timing and health outcomes in epidemiologic studies.

objectivesTo evaluate the reliability of estimating meal timing parameters, including overnight fasting duration, the midpoint of overnight fasting time, the number of daily eating episodes, the period with the largest percentage of daily caloric intake, and late last eating episode (> 09:00 pm) from repeated 24-h dietary recalls (24HRs).

methodsIntraclass correlation coefficients (ICC), Light's Kappa estimates, and 95% CIs were calculated from repeated 24HR administered in 3 epidemiologic studies: The United States-based Interactive Diet and Activity Tracking in AARP (IDATA) study (n = 996, 6 24HR collected over 12-mo), German EPIC-Potsdam Validation Study (European Prospective Investigation into Cancer and Nutrition Potsdam Germany cohort) (n = 134, 12 24HR collected over 12-mo) and EPIC-Potsdam BMBF-II Study (Federal Ministry of Education and Research, "Bundesministerium für Bildung und Forschung") (n = 725, 4 24HR collected over 36 mo).

resultsMeasurement reliability of overnight fasting duration based on a single 24HR was "poor" in all studies [ICC range: 0.27; 95% CI: 0.23, 0.32 - 0.46; 95% CI: 0.43, 0.50]. Reliability was "moderate" with 3 24HR (ICC range: 0.53; 95% CI: 0.47, 0.58 in IDATA, 0.62; 95% CI: 0.52, 0.69 in the EPIC-Potsdam Validation Study, and 0.72; 95% CI: 0.70-0.75 in the EPIC-Potsdam BMBF-II Study). Results were similar for the midpoint of overnight fasting time and the number of eating episodes. Reliability of measuring late eating was "fair" in IDATA (Light's Kappa: 0.30; 95% CI: 0.21, 0.39) and "slight" in the EPIC-Potsdam Validation study and the EPIC-Potsdam BMBF-II study (Light's Kappa: 0.19; 95% CI: 0.15, 0.25 and 0.09; 95% CI: 0.06, 0.12, respectively). Reliability estimates differed by sex, BMI, weekday, and season of 24HR administration in some studies.

conclusionsOur results show that ≥ 3 24HR over a 1-3-y period are required for reliable estimates of meal timing variables.

Indexed as

DietEnergy IntakeHumansMealsProspective StudiesReproducibility of Results24-hour dietary recallepidemiologyintermittent fastingmeal timingnutritionreliability

Identifiers

PMID36921904
PMCPMC10206325

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.