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

Background: Steatosis 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 condi...

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Autores principales: Donghia, Rossella, Pesole, Pasqua Letizia, Castellaneta, Antonino, Coletta, Sergio, Squeo, Francesco, Bonfiglio, Caterina, De Pergola, Giovanni, Rinaldi, Roberta, De Nucci, Sara, Giannelli, Gianluigi, Di Leo, Alfredo, Tatoli, Rossella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534690/
https://www.ncbi.nlm.nih.gov/pubmed/37764841
http://dx.doi.org/10.3390/nu15184058
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author Donghia, Rossella
Pesole, Pasqua Letizia
Castellaneta, Antonino
Coletta, Sergio
Squeo, Francesco
Bonfiglio, Caterina
De Pergola, Giovanni
Rinaldi, Roberta
De Nucci, Sara
Giannelli, Gianluigi
Di Leo, Alfredo
Tatoli, Rossella
author_facet Donghia, Rossella
Pesole, Pasqua Letizia
Castellaneta, Antonino
Coletta, Sergio
Squeo, Francesco
Bonfiglio, Caterina
De Pergola, Giovanni
Rinaldi, Roberta
De Nucci, Sara
Giannelli, Gianluigi
Di Leo, Alfredo
Tatoli, Rossella
author_sort Donghia, Rossella
collection PubMed
description Background: Steatosis 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. Methods: The 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. Results: The 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. Conclusions: Many 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.
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spelling pubmed-105346902023-09-29 Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort Donghia, Rossella Pesole, Pasqua Letizia Castellaneta, Antonino Coletta, Sergio Squeo, Francesco Bonfiglio, Caterina De Pergola, Giovanni Rinaldi, Roberta De Nucci, Sara Giannelli, Gianluigi Di Leo, Alfredo Tatoli, Rossella Nutrients Article Background: Steatosis 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. Methods: The 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. Results: The 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. Conclusions: Many 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. MDPI 2023-09-19 /pmc/articles/PMC10534690/ /pubmed/37764841 http://dx.doi.org/10.3390/nu15184058 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Donghia, Rossella
Pesole, Pasqua Letizia
Castellaneta, Antonino
Coletta, Sergio
Squeo, Francesco
Bonfiglio, Caterina
De Pergola, Giovanni
Rinaldi, Roberta
De Nucci, Sara
Giannelli, Gianluigi
Di Leo, Alfredo
Tatoli, Rossella
Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
title Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
title_full Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
title_fullStr Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
title_full_unstemmed Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
title_short Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort
title_sort age-related dietary habits and blood biochemical parameters in patients with and without steatosis—micol cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534690/
https://www.ncbi.nlm.nih.gov/pubmed/37764841
http://dx.doi.org/10.3390/nu15184058
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