Computationally Modeling the Physiologic Impact of the Ratio of Fats to Carbohydrates in the Diet on Intake Among Metabolically Healthy Adults

Eating a diet with ≥40% of its energy from fats relative to carbohydrates can achieve the largest reductions in total calories consumed and late-night snacking each day than consuming higher proportions of carbohydrates, with even further reductions as more fat is added to the diet, when considering the physiologic responses to dietary intake alone. Future research should layer in other strong contributing factors to eating such as stress, social context, palatability, physical activity, and types of macronutrients, and also represent other metabolic profiles and ages.

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Publication Details

Journal
Current Developments in Nutrition
Published
2025-06-19
DOI
https://doi.org/10.1016/j.cdnut.2025.107487
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Computationally Modeling the Physiologic Impact of the Ratio of Fats to Carbohydrates in the Diet on Intake Among Metabolically Healthy Adults

Sarah L. Booth, Jennifer J. Lee, José M. Ordovás, Sheryl A. Scannell et al.
Current Developments in Nutrition
Diet and metabolism studies
article

Computationally Modeling the Physiologic Impact of the Ratio of Fats to Carbohydrates in the Diet on Intake Among Metabolically Healthy Adults

Sarah L. Booth, Jennifer J. Lee, José M. Ordovás, Sheryl A. Scannell, Kayla de la Haye, Britt Burton‐Freeman, Timothy H. Moran, Marie F. Martinez, Kevin L. Chin, Jessie Heneghan, Bruce Y. Lee, Kavya Velmurugan, Alexis Dibbs, Colleen Weatherwax, Tej D. Shah, S. J. Kleinberg, Sarah M. Bartsch
article en

Abstract

Eating a diet with ≥40% of its energy from fats relative to carbohydrates can achieve the largest reductions in total calories consumed and late-night snacking each day than consuming higher proportions of carbohydrates, with even further reductions as more fat is added to the diet, when considering the physiologic responses to dietary intake alone. Future research should layer in other strong contributing factors to eating such as stress, social context, palatability, physical activity, and types of macronutrients, and also represent other metabolic profiles and ages.

Current Developments in NutritionVol. 9(7)
Stevens Institute of Technology (US), University of Southern California (US), The Graduate Center, CUNY (US), Tufts University (US), Johns Hopkins University (US), Illinois Institute of Technology (US), Jean Mayer Human Nutrition Research Center on Aging (US), Nutrition Sciences (Belgium) (BE)
National Science Foundation, National Institutes of Health, Agency for Healthcare Research and Quality, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences, Common Fund
Zero hunger
Openalex Percentile: Top 81%
Diet and metabolism studies
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