Evidence mapPaperPMID 42026200Full record

ArticleNature metabolism2026

The diversity and consistency of what and when people eat.

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

Abstract read
In one paragraph

Article in Nature metabolism, 2026. 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 Tran *The Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID http://orcid.org/0009-0004-6639-3801
Emily N C Manoogian *The Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-9718-9310
Zhaoyi Joey HouThe Salk Institute for Biological Studies, La Jolla, CA, USA.
Shweta VarshneyThe Salk Institute for Biological Studies, La Jolla, CA, USA.ORCID http://orcid.org/0009-0000-1308-5961
Jialu SuiThe Salk Institute for Biological Studies, La Jolla, CA, USA.
Kyla L LaingThe Salk Institute for Biological Studies, La Jolla, CA, USA.
Jason G FleischerDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-9462-9333
Satchidananda PandaThe Salk Institute for Biological Studies, La Jolla, CA, USA. satchin@salk.edu.ORCID http://orcid.org/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
U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R01DK139356
6 · The paper itself

Abstract

The timing and types of food that people eat, along with associated daily fluctuations, can influence health and wellbeing. However, there are limited data on how eating patterns remain consistent over multiple days. Here we present an exploratory, cross-sectional analysis of over 20,000 adults who recorded more than 2.5 million food logs over 2 weeks using 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 ranged from 10 h 54 min for the lowest decile to over 16 h for the highest. The median number of unique food and beverage items consumed over the 2 weeks varied from 20 to 86, and only a subset 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 using longitudinal food records in nutrition and lifestyle research to enhance our understanding of human behaviour and health.

Indexed as

Feeding BehaviorAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedTime FactorsYoung Adult

Identifiers

PMID42026200
PMCPMC13121034

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.