Literature DB >> 29032787

Ultra-processed foods, protein leverage and energy intake in the USA.

Euridice Martínez Steele1, David Raubenheimer2, Stephen J Simpson2, Larissa Galastri Baraldi1, Carlos A Monteiro1.   

Abstract

OBJECTIVE: Experimental studies have shown that human macronutrient regulation minimizes variation in absolute protein intake and consequently energy intake varies passively with dietary protein density ('protein leverage'). According to the 'protein leverage hypothesis' (PLH), protein leverage interacts with a reduction in dietary protein density to drive energy overconsumption and obesity. Worldwide increase in consumption of ultra-processed foods (UPF) has been hypothesized to be an important determinant of dietary protein dilution, and consequently an ecological driving force of energy overconsumption and the obesity pandemic. The present study examined the relationships between dietary contribution of UPF, dietary proportional protein content and the absolute intakes of protein and energy.
DESIGN: National representative cross-sectional study.
SETTING: National Health and Nutrition Examination Survey 2009-2010.
SUBJECTS: Participants (n 9042) aged ≥2 years with at least one day of 24 h dietary recall data.
RESULTS: We found a strong inverse relationship between consumption of UPF and dietary protein density, with mean protein content dropping from 18·2 to 13·3 % between the lowest and highest quintiles of dietary contribution of UPF. Consistent with the PLH, increase in the dietary contribution of UPF (previously shown to be inversely associated with protein density) was also associated with a rise in total energy intake, while absolute protein intake remained relatively constant.
CONCLUSIONS: The protein-diluting effect of UPF might be one mechanism accounting for their association with excess energy intake. Reducing UPF contribution in the US diet may be an effective way to increase its dietary protein concentration and prevent excessive energy intake.

Entities:  

Keywords:  Dietary protein content; NHANES; Protein leverage hypothesis; Ultra-processed foods

Mesh:

Substances:

Year:  2017        PMID: 29032787     DOI: 10.1017/S1368980017001574

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  16 in total

1.  Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake.

Authors:  Kevin D Hall; Alexis Ayuketah; Robert Brychta; Hongyi Cai; Thomas Cassimatis; Kong Y Chen; Stephanie T Chung; Elise Costa; Amber Courville; Valerie Darcey; Laura A Fletcher; Ciaran G Forde; Ahmed M Gharib; Juen Guo; Rebecca Howard; Paule V Joseph; Suzanne McGehee; Ronald Ouwerkerk; Klaudia Raisinger; Irene Rozga; Michael Stagliano; Mary Walter; Peter J Walter; Shanna Yang; Megan Zhou
Journal:  Cell Metab       Date:  2019-05-16       Impact factor: 27.287

2.  Contrary to ultra-processed foods, the consumption of unprocessed or minimally processed foods is associated with favorable patterns of protein intake, diet quality and lower cardiometabolic risk in French adults (INCA3).

Authors:  Marion Salomé; Laura Arrazat; Juhui Wang; Ariane Dufour; Carine Dubuisson; Jean-Luc Volatier; Jean-François Huneau; François Mariotti
Journal:  Eur J Nutr       Date:  2021-05-08       Impact factor: 5.614

3.  Meal-to-meal and day-to-day macronutrient variation in an ad libitum vending food paradigm.

Authors:  Tomás Cabeza de Baca; Paolo Piaggi; Marci E Gluck; Jonathan Krakoff; Susanne B Votruba
Journal:  Appetite       Date:  2022-01-21       Impact factor: 3.868

Review 4.  Beyond the Calories-Is the Problem in the Processing?

Authors:  Janese Laster; Leigh A Frame
Journal:  Curr Treat Options Gastroenterol       Date:  2019-12

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Authors:  Moreen Uwimbabazi; David Raubenheimer; Mnason Tweheyo; Gilbert I Basuta; Nancy L Conklin-Brittain; Richard W Wrangham; Jessica M Rothman
Journal:  Am J Primatol       Date:  2021-05-18       Impact factor: 3.014

6.  Food processing and cardiometabolic risk factors: a systematic review.

Authors:  Francine Silva Dos Santos; Mariane da Silva Dias; Gicele Costa Mintem; Isabel Oliveira de Oliveira; Denise Petrucci Gigante
Journal:  Rev Saude Publica       Date:  2020-07-24       Impact factor: 2.106

Review 7.  Life History Transitions at the Origins of Agriculture: A Model for Understanding How Niche Construction Impacts Human Growth, Demography and Health.

Authors:  Jonathan C K Wells; Jay T Stock
Journal:  Front Endocrinol (Lausanne)       Date:  2020-05-21       Impact factor: 5.555

Review 8.  Cardio-Metabolic Effects of High-Fat Diets and Their Underlying Mechanisms-A Narrative Review.

Authors:  Jibran A Wali; Natalia Jarzebska; David Raubenheimer; Stephen J Simpson; Roman N Rodionov; John F O'Sullivan
Journal:  Nutrients       Date:  2020-05-21       Impact factor: 5.717

9.  Lower Postprandial Thermogenic Response to an Unprocessed Whole Food Meal Compared to an Iso-Energetic/Macronutrient Meal Replacement in Young Women: A Single-Blind Randomized Cross-Over Trial.

Authors:  Alex E Mohr; Carmen Ramos; Kelvin Tavarez; Paul J Arciero
Journal:  Nutrients       Date:  2020-08-17       Impact factor: 5.717

10.  Energy contribution of NOVA food groups and the nutritional profile of the Brazilian rural workers' diets.

Authors:  Monica Cattafesta; Glenda Blaser Petarli; Eliana Zandonade; Olívia Maria de Paula Alves Bezerra; Sandra Marlene Ribeiro de Abreu; Luciane Bresciani Salaroli
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

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