Cited by 241Dietary Effects on HealthDiet and metabolism studiesNutritional Studies and Diet

Time-restricted feeding and risk of metabolic disease: A review of human and animal studies

Rothschild, Jeff, Hoddy, Kristin K, Jambazian, Pera, Varady, Krista A·2014·Nutrition Reviews

Abstract

Time-restricted feeding (TRF), a key component of intermittent fasting regimens, has gained considerable attention in recent years. TRF allows ad libitum energy intake within controlled time frames, generally a 3-12 hour range each day. The impact of various TRF regimens on indicators of metabolic disease risk has yet to be investigated. Accordingly, the objective of this review was to summarize the current literature on the effects of TRF on body weight and markers of metabolic disease risk (i.e., lipid, glucoregulatory, and inflammatory factors) in animals and humans. Results from animal studies show TRF to be associated with reductions in body weight, total cholesterol, and concentrations of triglycerides, glucose, insulin, interleukin 6, and tumor necrosis factor-α as well as with improvements in insulin sensitivity. Human data support the findings of animal studies and demonstrate decreased body weight (though not consistently), lower concentrations of triglycerides, glucose, and low-density lipoprotein cholesterol, and increased concentrations of high-density lipoprotein cholesterol. These preliminary findings show promise for the use of TRF in modulating a variety of metabolic disease risk factors.

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  • A TRF pattern with a long fast (>12-14 h) and a limited eating window not extending late in the night, with ~4-10 h in which meals were distributed and consumed, seemed to have several health benefits independent of energy restriction.

    “A TRF pattern, with a long fast (>12–14 h) and a limited eating window not extending late in the night, with ~4–10 h in which meals were distributed and consumed, seemed to have several health benefits independent of energy restriction [359].”

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  1. Ravanshad S, Setoudehmaram D, Setoudeh ME, et al. Effect of fasting on serum glucose, lipids and keton bodies concentration during Ramadan in Arsenjan- Iran. Iran Red Crescent Med J. 1999;2:23-26. Available at: http://www.medlib.ir/ en-us/article/28574774/effect-of-fasting-on-serum-glucose-lipids-and-keton- bodies-concentration-during-ramadan-in-arsenjan-iran. Accessed March 17, 2014.
  2. OCEBM Levels of Evidence Working Group. The Oxford 2011 Levels of Evidence. Oxford, UK: Oxford Centre for Evidence-Based Medicine. Available at: http:// www.cebm.net/index.aspx?o=5653. Accessed Feb. 28, 2014.

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Authors
Rothschild, J., Hoddy, K. K., Jambazian, P., & Varady, K. A.
Affiliations
  • School of Kinesiology and Nutritional Science; California State University; Los Angeles California USA
  • University of Illinois Chicago (US)
  • California State University Los Angeles (US)
Corresponding author
Varady, Krista A
Venue
Nutrition Reviews
Published
2014-04-16
Volume
72
Issue
5
Pages
308-318
ISSN
0029-6643 (ISSN-L)
OpenAlex
W2013796966
Cited by
241
References
54
Citations by year
2026: 11 · 2025: 15 · 2024: 17 · 2023: 22 · 2022: 26 · 2021: 50 · 2020: 32 · 2019: 23 · 2018: 15 · 2017: 10 · 2016: 9 · 2015: 7 · 2014: 2
FWCI
1.10
Type
journal article
Language
en
Open access
closed
Locations
  • Nutrition Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • California State University ScholarWorks (system-wide DSpace) (submittedVersion)
  • CSUN ScholarWorks (California State University, Northridge) (submittedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Dietary Effects on Health
  • Health Sciences › Medicine › Physiology › Diet and metabolism studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Keywords
time-restricted feeding, intermittent fasting, metabolic disease risk, body weight, lipid profile, glucose and insulin, insulin sensitivity, inflammation, interleukin-6, TNF-α, cholesterol, triglycerides
MeSH terms
Animals, Eating, Fasting, Humans, Metabolic Diseases, Risk Factors, Biomarkers

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