Evidence map›Paper›PMID 38790868›Full record

ArticleFoods (Basel, Switzerland)2024

The Healthy Fatty Index Allows for Deeper Insights into the Lipid Composition of Foods of Animal Origin When Compared with the Atherogenic and Thrombogenicity Indexes.

Alessandro Dal Bosco, Massimiliano Cavallo, Laura Menchetti, Elisa Angelucci, Alice Cartoni Mancinelli, Gaetano Vaudo, Stefania Marconi, Emanuela Camilli, Francesco Galli, Cesare Castellini and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alessandro Dal BoscoDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo XX Giugno 74, 06124 Perugia, Italy.ORCID 0000-0002-4021-2281
Massimiliano CavalloDepartment of Medicine and Surgery, University of Perugia, Piazzale Gambuli 1, 06132 Perugia, Italy.
Laura MenchettiSchool of Bioscience and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95, 62024 Matelica, Italy.ORCID 0000-0001-8500-7970
Elisa AngelucciDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo XX Giugno 74, 06124 Perugia, Italy.
Alice Cartoni MancinelliDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo XX Giugno 74, 06124 Perugia, Italy.ORCID 0000-0001-9888-9079
Gaetano VaudoDepartment of Medicine and Surgery, University of Perugia, Piazzale Gambuli 1, 06132 Perugia, Italy.ORCID 0000-0002-3176-2038
Stefania MarconiCouncil for Agricultural Research and Economics, Research Centre for Food and Nutrition, 00178 Rome, Italy.
Emanuela CamilliCouncil for Agricultural Research and Economics, Research Centre for Food and Nutrition, 00178 Rome, Italy.ORCID 0000-0001-9193-405X
Francesco GalliDepartment of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy.ORCID 0000-0003-3626-051X
Cesare CastelliniDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo XX Giugno 74, 06124 Perugia, Italy.ORCID 0000-0002-6134-0901
Simona MattioliDepartment of Agricultural, Environmental and Food Science, University of Perugia, Borgo XX Giugno 74, 06124 Perugia, Italy.ORCID 0000-0001-5063-6785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this research was to validate the effectiveness of the Healthy Fatty Index (HFI) regarding some foods of animal origin (meat, processed, fish, milk products, and eggs) typical of the Western diet and to compare these results with two consolidated indices (atherogenic-AI, and thrombogenic-TI) in the characterization of the nutritional features of their lipids. The fatty acids profile (% of total fatty acids and mg/100 g) of 60 foods, grouped in six subclasses, was used. The AI, TI, and HFI indexes were calculated, and the intraclass correlation coefficients and the degree of agreement were evaluated using different statistical approaches. The results demonstrated that HFI, with respect to AI and TI, seems better able to consider the complexity of the fatty acid profile and the different fat contents. HFI and AI are the two most diverse indices, and they can provide different food classifications. AI and IT exhibit only a fair agreement in regards to food classification, confirming that such indexes are always to be considered indissolubly and never separately, in contrast to the HFI, which can stand alone.

Indexed as

animal productsfatty acidshealthy qualityindexing

Identifiers

PMID38790868
PMCPMC11120502

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Registered trials

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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.