The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
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]
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“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]
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“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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Cites
Social Jetlag: Misalignment of Biological and Social Time
Wittmann, M., Dinich, J., Merrow, M., & Roenneberg, T. (2006) · Chronobiology International · doi:10.1080/07420520500545979 · Cited by 2,625
A circadian gene expression atlas in mammals: Implications for biology and medicine
Zhang, R., Lahens, N. F., Ballance, H. I., Hughes, M. E., & Hogenesch, J. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408886111 · Cited by 2,304
Cappuccio, F. P., Cooper, D., D'Elia, L., Strazzullo, P., & Miller, M. A. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr007 · Cited by 2,146
Hatori, M., Vollmers, C., Zarrinpar, A., DiTacchio, L., Bushong, E. A., Gill, S., Leblanc, M., Chaix, A., Joens, M., Fitzpatrick, J. A. J., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.04.019 · Cited by 1,986
Self-citationHigh-Fat Diet Disrupts Behavioral and Molecular Circadian Rhythms in Mice
Kohsaka, A., Laposky, A. D., Ramsey, K. M., Estrada, C., Joshu, C., Kobayashi, Y., Turek, F. W., & Bass, J. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.09.006 · Cited by 1,528
Bauer, U. E., Briss, P. A., Goodman, R. A., & Bowman, B. A. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60648-6 · Cited by 1,453
Transkingdom Control of Microbiota Diurnal Oscillations Promotes Metabolic Homeostasis
Thaiss, C. A., Zeevi, D., Levy, M., Zilberman-Schapira, G., Suez, J., Tengeler, A. C., Abramson, L., Katz, M. N., Korem, T., Zmora, N., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.048 · Cited by 1,449
Roenneberg, T., Allebrandt, K. V., Merrow, M., & Vetter, C. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.038 · Cited by 1,407
Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures
Golder, S. A., & Macy, M. W. (2011) · Science · doi:10.1126/science.1202775 · Cited by 1,155 · cited 2×
“Because at the population level human digital activity reaches the trough between 2 and 4 a.m. (Golder and Macy, 2011), none of the subjects were self-reported shift-workers, and the reporting trough was close to 4 a.m. (Figures 2A and 2B), we considered 4 a.m. as the onset of ''metabolic day''…”
BackgroundChaix, A., Zarrinpar, A., Miu, P., & Panda, S. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.11.001 · Cited by 956 · cited 4×
“…organisms have demonstrated that restricting the time of caloric intake to a window of 8–12 hr without altering the quantity or quality of diet can impart pleiotropic physiological benefits (Chaix et al., 2014; Gill et al., 2015; Hatori et al., 2012; Sherman et al., 2012; Zarrinpar et al., 2014).”
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Sutton, E. F., Beyl, R., Early, K. S., Cefalu, W. T., Ravussin, E., & Peterson, C. M. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.010 · Cited by 1,531
Circadian physiology of metabolism
Panda, S. (2016) · Science · doi:10.1126/science.aah4967 · Cited by 1,092
Self-citationFasting, Circadian Rhythms, and Time-Restricted Feeding in Healthy Lifespan
Longo, V. D., & Panda, S. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.06.001 · Cited by 1,013
Self-citationWilkinson, M. J., Manoogian, E. N. C., Zadourian, A., Lo, H., Fakhouri, S., Shoghi, A., Wang, X., Fleischer, J. G., Navlakha, S., Panda, S., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.004 · Cited by 927
Self-citationMetabolic Effects of Intermittent Fasting
Patterson, R. E., & Sears, D. D. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064634 · Cited by 810
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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