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Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy

Background: Like other parts of the body, the retina and its neurovascular system are also affected by age-related changes. The rising age of populations worldwide makes it important to study the pathologies related to age and their potential risk factors, such as diet and eating habits. The aim of...

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Autores principales: Tatoli, Rossella, Lampignano, Luisa, Donghia, Rossella, Niro, Alfredo, Castellana, Fabio, Bortone, Ilaria, Zupo, Roberta, Tirelli, Sarah, Lozupone, Madia, Panza, Francesco, Alessio, Giovanni, Boscia, Francesco, Sborgia, Giancarlo, Sardone, Rodolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049576/
https://www.ncbi.nlm.nih.gov/pubmed/36982016
http://dx.doi.org/10.3390/ijerph20065108
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author Tatoli, Rossella
Lampignano, Luisa
Donghia, Rossella
Niro, Alfredo
Castellana, Fabio
Bortone, Ilaria
Zupo, Roberta
Tirelli, Sarah
Lozupone, Madia
Panza, Francesco
Alessio, Giovanni
Boscia, Francesco
Sborgia, Giancarlo
Sardone, Rodolfo
author_facet Tatoli, Rossella
Lampignano, Luisa
Donghia, Rossella
Niro, Alfredo
Castellana, Fabio
Bortone, Ilaria
Zupo, Roberta
Tirelli, Sarah
Lozupone, Madia
Panza, Francesco
Alessio, Giovanni
Boscia, Francesco
Sborgia, Giancarlo
Sardone, Rodolfo
author_sort Tatoli, Rossella
collection PubMed
description Background: Like other parts of the body, the retina and its neurovascular system are also affected by age-related changes. The rising age of populations worldwide makes it important to study the pathologies related to age and their potential risk factors, such as diet and eating habits. The aim of this study was to investigate the predictive power of food groups versus retinal features among noninstitutionalized older adults from Southern Italy using a machine learning approach. Methods: We recruited 530 subjects, with a mean age of 74 years, who were drawn from the large population of the Salus in Apulia Study. In the present cross-sectional study, eating habits were assessed with a validated food frequency questionnaire. For the visual assessment, a complete ophthalmic examination and optical coherence tomography-angiography analyses were performed. Results: The analyses identified 13 out of the 28 food groups as predictors of all our retinal variables: grains, legumes, olives-vegetable oil, fruiting vegetables, other vegetables, fruits, sweets, fish, dairy, low-fat dairy, red meat, white meat, and processed meat. Conclusions: Eating habits and food consumption may be important risk factors for age-related retinal changes. A diet that provides the optimal intake of specific nutrients with antioxidant and anti-inflammatory powers, including carotenoids and omega-3 fatty acids, could have beneficial effects.
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spelling pubmed-100495762023-03-29 Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy Tatoli, Rossella Lampignano, Luisa Donghia, Rossella Niro, Alfredo Castellana, Fabio Bortone, Ilaria Zupo, Roberta Tirelli, Sarah Lozupone, Madia Panza, Francesco Alessio, Giovanni Boscia, Francesco Sborgia, Giancarlo Sardone, Rodolfo Int J Environ Res Public Health Article Background: Like other parts of the body, the retina and its neurovascular system are also affected by age-related changes. The rising age of populations worldwide makes it important to study the pathologies related to age and their potential risk factors, such as diet and eating habits. The aim of this study was to investigate the predictive power of food groups versus retinal features among noninstitutionalized older adults from Southern Italy using a machine learning approach. Methods: We recruited 530 subjects, with a mean age of 74 years, who were drawn from the large population of the Salus in Apulia Study. In the present cross-sectional study, eating habits were assessed with a validated food frequency questionnaire. For the visual assessment, a complete ophthalmic examination and optical coherence tomography-angiography analyses were performed. Results: The analyses identified 13 out of the 28 food groups as predictors of all our retinal variables: grains, legumes, olives-vegetable oil, fruiting vegetables, other vegetables, fruits, sweets, fish, dairy, low-fat dairy, red meat, white meat, and processed meat. Conclusions: Eating habits and food consumption may be important risk factors for age-related retinal changes. A diet that provides the optimal intake of specific nutrients with antioxidant and anti-inflammatory powers, including carotenoids and omega-3 fatty acids, could have beneficial effects. MDPI 2023-03-14 /pmc/articles/PMC10049576/ /pubmed/36982016 http://dx.doi.org/10.3390/ijerph20065108 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
Tatoli, Rossella
Lampignano, Luisa
Donghia, Rossella
Niro, Alfredo
Castellana, Fabio
Bortone, Ilaria
Zupo, Roberta
Tirelli, Sarah
Lozupone, Madia
Panza, Francesco
Alessio, Giovanni
Boscia, Francesco
Sborgia, Giancarlo
Sardone, Rodolfo
Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy
title Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy
title_full Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy
title_fullStr Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy
title_full_unstemmed Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy
title_short Retinal Microvasculature and Neural Changes and Dietary Patterns in an Older Population in Southern Italy
title_sort retinal microvasculature and neural changes and dietary patterns in an older population in southern italy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049576/
https://www.ncbi.nlm.nih.gov/pubmed/36982016
http://dx.doi.org/10.3390/ijerph20065108
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