Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach

Dietary behaviour is a core element in diabetes self-management. There are no remarkable differences between nutritional guidelines for people with type 2 diabetes and healthy eating recommendations for the general public. This study aimed to evaluate dietary differences between subjects with and wi...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 6; p. 2193
Main Authors:	Tatoli, Rossella, Lampignano, Luisa, Bortone, Ilaria, Donghia, Rossella, Castellana, Fabio, Zupo, Roberta, Tirelli, Sarah, De Nucci, Sara, Sila, Annamaria, Natuzzi, Annalidia, Lozupone, Madia, Griseta, Chiara, Sciarra, Sabrina, Aresta, Simona, De Pergola, Giovanni, Sorino, Paolo, Lofù, Domenico, Panza, Francesco, Di Noia, Tommaso, Sardone, Rodolfo
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 11.03.2022 MDPI
Subjects:	Aged Body mass index Cross-Sectional Studies Diabetes Diabetes Mellitus, Type 2 - epidemiology Diet dietary pattern Disease Eating behavior Eigenvalues Feeding Behavior Female Food Glucose Health care Humans Italy - epidemiology Machine learning Male Nutrition research older adults Overweight Population Principal components analysis Public health Questionnaires Software unsupervised learning approach Unsupervised Machine Learning Italy older adults dietary pattern diabetes unsupervised learning approach
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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