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ABSTRACT: 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.
SUBMITTER: Tatoli R
PROVIDER: S-EPMC10049576 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
Tatoli Rossella R Lampignano Luisa L Donghia Rossella R Niro Alfredo A Castellana Fabio F Bortone Ilaria I Zupo Roberta R Tirelli Sarah S Lozupone Madia M Panza Francesco F Alessio Giovanni G Boscia Francesco F Sborgia Giancarlo G On Behalf Of The Eye Clinic Research Group Sardone Rodolfo R
International journal of environmental research and public health 20230314 6
<h4>Background</h4>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.<h4>Metho ...[more]