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A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits
Open accessAbstract
A diurnal rhythm of eating-fasting promotes health, but the eating pattern of humans is rarely assessed. Using a mobile app, we monitored ingestion events in healthy adults with no shift-work for several days. Most subjects ate frequently and erratically throughout wakeful hours, and overnight fasting duration paralleled time in bed. There was a bias toward eating late, with an estimated <25% of calories being consumed before noon and >35% after 6 p.m. "Metabolic jetlag" resulting from weekday/weekend variation in eating pattern akin to travel across time zones was prevalent. The daily intake duration (95% interval) exceeded 14.75 hr for half of the cohort. When overweight individuals with >14 hr eating duration ate for only 10-11 hr daily for 16 weeks assisted by a data visualization (raster plot of dietary intake pattern, "feedogram") that we developed, they reduced body weight, reported being energetic, and improved sleep. Benefits persisted for a year.
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“Gill and Panda (7) who observed a delay of 1 h of breakfast on weekends compared to weekdays, contrary to the mean last caloric intake, most probably dinner, which was more commonly advanced.”
From Meal timing and its role in obesity and associated diseases (2024) · cites this paper as [7]
Experimental — accuracy not yet measuredIn the citing paper
“A study tracking the participants’ eating behaviors via a smartphone app, revealed erratic diurnal feeding patterns [257].”
From Effects of diet, lifestyle, Chrononutrition and alternative dietary interventions on postprandial Glycemia and insulin resistance (2022) · cites this paper as [257]
In the citing paper
“In modern times a tendency for late-eating patterns has been observed and in many cases, it is accompanied by skipping breakfast [257].”
From Effects of diet, lifestyle, Chrononutrition and alternative dietary interventions on postprandial Glycemia and insulin resistance (2022) · cites this paper as [257]
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Modelling remission from overweight type 2 diabetes reveals how altering advice may counter relapse
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Nutritional Recommendations for People with Type 1 Diabetes Mellitus
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Metadata
- Authors
- Gill, S., & Panda, S.
- Affiliations
- Salk Institute for Biological Studies (US)
- Corresponding author
- Panda, Satchidananda
- ORCID
- Panda, Satchidananda
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 22
- Issue
- 5
- Pages
- 789-798
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC4635036
- OpenAlex
- W2171703113
- Cited by
- 894
- References
- 22
- Citations by year
- 2026: 68 · 2025: 94 · 2024: 109 · 2023: 98 · 2022: 123 · 2021: 113 · 2020: 126 · 2019: 63 · 2018: 47 · 2017: 30 · 2016: 21 · 2015: 1
- FWCI
- 24.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Eye Institute (R01EY016807, EY016807)
- National Cancer Institute (P30CA014195)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK063491, DK 091618, R01DK091618, P30DK063491)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Dietary Effects on Health
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- dietary habits, mobile application, overnight fasting, weekday/weekend variation, eating duration, overweight, weight loss, sleep quality, circadian rhythm
- MeSH terms
- Smartphone, Adult, Body Weight, Energy Intake, Eating, Feeding Behavior, Female, Humans, Male
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