Cited by 70Obesity, Physical Activity, DietRegulation of Appetite and ObesityNutrition, Health and Food Behavior

Can a weight loss of one pound a week be achieved with a 3500-kcal deficit? Commentary on a commonly accepted rule

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Thomas, D M, Martin, C K, Lettieri, S, Bredlau, C, Kaiser, K, Church, T, Bouchard, C, Heymsfield, S B·2013·International Journal of Obesity

Abstract

Despite theoretical evidence that the model commonly referred to as the 3500-kcal rule grossly overestimates actual weight loss, widespread application of the 3500-kcal formula continues to appear in textbooks, on respected government- and health-related websites, and scientific research publications. Here we demonstrate the risk of applying the 3500-kcal rule even as a convenient estimate by comparing predicted against actual weight loss in seven weight loss experiments conducted in confinement under total supervision or objectively measured energy intake. We offer three newly developed, downloadable applications housed in Microsoft Excel and Java, which simulates a rigorously validated, dynamic model of weight change. The first two tools available at http://www.pbrc.edu/sswcp, provide a convenient alternative method for providing patients with projected weight loss/gain estimates in response to changes in dietary intake. The second tool, which can be downloaded from the URL http://www.pbrc.edu/mswcp, projects estimated weight loss simultaneously for multiple subjects. This tool was developed to inform weight change experimental design and analysis. While complex dynamic models may not be directly tractable, the newly developed tools offer the opportunity to deliver dynamic model predictions as a convenient and significantly more accurate alternative to the 3500-kcal rule.

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  • Effects on outcomes like energy intake are linearly extrapolated to weight change, despite energy balance being a dynamic, nonlinear system.

    “Effects on outcomes like energy intake are linearly extrapolated to weight change (41), despite energy balance being a dynamic, nonlinear system (42).”

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Authors
Thomas, D. M., Martin, C. K., Lettieri, S., Bredlau, C., Kaiser, K., Church, T., Bouchard, C., & Heymsfield, S. B.
Affiliations
  • Montclair State University (US)
  • Pennington Biomedical Research Center (US)
  • University of Pittsburgh (US)
  • University of Alabama at Birmingham (US)
Corresponding author
Thomas, D M
Venue
International Journal of Obesity
Published
2013-04-08
Volume
37
Issue
12
Pages
1611-1613
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
OpenAlex
W2022985359
Cited by
70
References
24
Citations by year
2026: 5 · 2025: 2 · 2024: 9 · 2023: 5 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 4 · 2018: 5 · 2017: 6 · 2016: 3 · 2015: 3 · 2014: 13 · 2013: 2
FWCI
7.14
Type
journal article
Language
en
Open access
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Institute on Aging (U01AG020478, U01-AG20478)
  • National Heart, Lung, and Blood Institute (R01HL102166, HL 45670, HL102166, R01HL045670)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R15DK090739, R01DK089051, K01DK062018, DK089051, P30DK072476)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
weight loss, negative energy balance, energy balance, energy intake, weight loss prediction, weight gain
MeSH terms
Algorithms, Energy Intake, Diet, Reducing, Energy Metabolism, Female, Goals, Humans, Male, Weight Loss, Information Dissemination

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