Evidence map›Paper›PMID 37764841›Full record

ArticleNutrients2023

Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis-MICOL Cohort.

Rossella Donghia, Pasqua Letizia Pesole, Antonino Castellaneta, Sergio Coletta, Francesco Squeo, Caterina Bonfiglio, Giovanni De Pergola, Roberta Rinaldi, Sara De Nucci, Gianluigi Giannelli and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Rossella DonghiaNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-9140-673X
Pasqua Letizia PesoleNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0003-4675-2075
Antonino CastellanetaGastroenterology and Digestive Endoscopy, University Hospital, 70124 Bari, Italy.
Sergio ColettaNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Francesco SqueoGastroenterology and Digestive Endoscopy, University Hospital, 70124 Bari, Italy.
Caterina BonfiglioNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-8650-348X
Giovanni De PergolaNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Roberta RinaldiNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-3817-8643
Sara De NucciNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.
Gianluigi GiannelliNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-5140-8060
Alfredo Di LeoGastroenterology and Digestive Endoscopy, University Hospital, 70124 Bari, Italy.ORCID 0000-0003-2026-1200
Rossella TatoliNational Institute of Gastroenterology-IRCCS "Saverio de Bellis", 70013 Castellana Grotte, Italy.ORCID 0000-0002-7891-6057
Gastroenterology Hospital "Saverio de Bellis" · ITUniversity of Bari Aldo Moro · IT

Funding

This research was funded by Italian Ministry of Health with Ricerca Corrente 2023. This research was funded by Italian Ministry of Health with Ricerca Corrente 2023.
6 · The paper itself

Abstract

backgroundSteatosis is now the most common liver disease in the world, present in approximately 25% of the global population. The aim of this study was to study the association between food intake and liver disease and evaluate the differences in blood parameters in age classes and steatosic condition.

methodsThe present study included 1483 participants assessed in the fourth recall of the MICOL study. Patients were subdivided by age (</>65 years) and administered a validated food frequency questionnaire (FFQ) with 28 food groups.

resultsThe prevalence of steatosis was 55.92% in the adult group and 55.88% in the elderly group. Overall, the results indicated many statistically significant blood parameters and dietary habits. Analysis of food choices with a machine learning algorithm revealed that in the adult group, olive oil, grains, processed meat, and sweets were associated with steatosis, while the elderly group preferred red meat, dairy, seafood, and fruiting vegetables. Furthermore, the latter ate less as compared with the adult group.

conclusionsMany differences were found between the two age groups, both in blood parameters and food intake. The random forest also revealed different foods predicted steatosis in the two groups. Future analysis will be useful to understand the molecular basis of these differences and how different food intake causes steatosis in people of different ages.

Indexed as

Fatty LiverAdultAgedAlgorithmsCandyFeeding BehaviorFruitHumansfood intakemachine learningsteatosis

Identifiers

PMID37764841
PMCPMC10534690
OpenAlexW4386894796

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.