Evidence map›Paper›PMID 39209154›Full record

ArticleThe American journal of clinical nutrition2024

Food processing according to the NOVA classification is not associated with glycemic index and glycemic load: results from an analysis of 1995 food items.

Anthony J Basile, Anaissa Ruiz-Tejada, Alex E Mohr, Angel C Morales, Ellinor Hjelm, Jennie C Brand-Miller, Fiona S Atkinson, Karen L Sweazea

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Anthony J BasileSchool of Life Sciences, Arizona State University, Tempe, AZ, United States; State University of Oneonta at New York, Oneonta, NY, United States. Electronic address: anthony.basile@oneonta.edu.
Anaissa Ruiz-TejadaSchool of Life Sciences, Arizona State University, Tempe, AZ, United States.
Alex E MohrCollege of Health Solutions, Arizona State University, Tempe, AZ, United States.
Angel C MoralesSchool of Life Sciences, Arizona State University, Tempe, AZ, United States.
Ellinor HjelmSchool of Life Sciences, Arizona State University, Tempe, AZ, United States.
Jennie C Brand-MillerSchool of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Fiona S AtkinsonSchool of Life and Environmental Sciences and Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Karen L SweazeaSchool of Life Sciences, Arizona State University, Tempe, AZ, United States; College of Health Solutions, Arizona State University, Tempe, AZ, United States. Electronic address: karen.sweazea@asu.edu.

Funding

Interdisciplinary Systems-based Training for Precision NutritionT32DK137525 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Li Liu, Corrie Marie Whisner · 2023 to 2026
$1.4M
NIDDK NIH HHS T32 DK137525
6 · The paper itself

Abstract

backgroundUltraprocessed foods (UPFs) comprise most calories in the United States diet. Glycemic index (GI) and glycemic load (GL) are measures of the quality and quantity of carbohydrates in food based on their effect on postprandial blood glucose. Diets high in UPFs and GI/GL are associated with chronic metabolic diseases but the relationship between them is unclear.

objectivesOur objective was to examine the GI and GL of foods assigned to NOVA food processing groups. We hypothesized that GI and GL would be lowest in minimally processed foods (MPFs) compared to processed food (PRF) and UPF (with no difference between PRF and UPF).

methodsGI and GL values produced by healthy individuals for 1995 food items were collated from published sources. Food items were manually coded by processing levels according to NOVA classification. In addition, as the effects of processing on glycemic potential may vary between types of foods, food items were coded into 8 groups (beans, nuts, and seeds; beverages; dairy; fats and sweets; fruit; grains; fish, meat, and poultry; and vegetables). Multilevel linear modeling was used to determine significance with an α value of 0.05.

resultsThe effect of food processing on GI and GL was contrary to our hypothesis as means did not differ significantly across processing levels: GI-MPF: 54.1 ± 19.5, PRF: 53.2 ± 18.9, UPF: 49.3 ± 18.1 (P = 0.712); GL-MPF: 17.1 ± 10.3, PRF: 15.8 ± 12.4, UPF; 11.5 ± 7.9 (P = 0.890). Within food groups, there was no significant association between processing level and GI (P = 0.184), but GL was inversely associated with grains and vegetables (P < 0.001).

conclusionsAcross analyzed foods, GI and GL do not differ between processing levels, whereas GL was lower in ultraprocessed grains and vegetables than MPF. Any potential adverse outcomes associated with UPF are unlikely to be related to effects on glycemia. This project was preregistered at the Open Science Framework (OSF) Registries through the Center for Open Science as 10.17605/OSF.IO/PJWG9.

Indexed as

Food HandlingGlycemic IndexGlycemic LoadBlood GlucoseDietDietary CarbohydratesHumansMaleUnited StatesBlood GlucoseDietary Carbohydratesfood processingglycemic indexglycemic loadminimally processed foodultraprocessed food

Identifiers

PMID39209154
PMCPMC11600077

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.