Evidence mapPaperPMID 40799746Full record

ArticleResearch square2025

The diversity and consistency of what and when people eat.

Tyler Tran, Emily Nicole Manoogian, Zhaoyi Joey Hou, Shweta Varshney, Jialu Sui, Kyla L Laing, Jason Fleischer, Satchidananda Panda

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Tyler TranThe Salk Institute for Biological Studies, La Jolla, CA 92037.
Emily Nicole ManoogianThe Salk Institute for Biological Studies, La Jolla, CA 92037.ORCID 0000-0001-9718-9310
Zhaoyi Joey HouThe Salk Institute for Biological Studies, La Jolla, CA 92037.
Shweta VarshneyThe Salk Institute for Biological Studies, La Jolla, CA 92037.
Jialu SuiThe Salk Institute for Biological Studies, La Jolla, CA 92037.
Kyla L LaingThe Salk Institute for Biological Studies, La Jolla, CA 92037.
Jason FleischerDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-9462-9333
Satchidananda PandaThe Salk Institute for Biological Studies, La Jolla, CA 92037.ORCID 0000-0002-7855-0091

Funding

Optimization of Chrononutrition to Reduce the Risk of Disease in Shift WorkersR01DK139356 · SALK INSTITUTE FOR BIOLOGICAL STUDIES · 2025 to 2025
$748k
NIDDK NIH HHS R01 DK139356
6 · The paper itself

Abstract

The timing and types of food people eat, along with daily fluctuations in in these parameters, are important factors influencing health and well-being. However, there is limited data on how eating patterns remain consistent over multiple days. To address this gap, we conducted an exploratory, observational analysis of over 20,000 adults, who recorded more than 2.5 million food logs collected over two weeks via the myCircadianClock app. Our analysis reveals significant variability in food timing and diversity. The time window during which 95% of food and beverages were consumed during the 2 weeks ranged from 10 hours 54 minutes for the lowest decile to over 16 hours for the highest. The median number of unique food and beverage items consumed over the two weeks varied from 20 to 86, but only a subset of these items was consistently eaten on multiple days. Many common foods were regularly consumed at specific times of the day, and factors like age, gender, and work schedules influenced both eating patterns and food choices. These findings provide a foundation for utilizing longitudinal food records in nutrition and lifestyle research to enhance our understanding of human behavior and health.

Identifiers

PMID40799746
PMCPMC12340925

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.