Predicting Metabolic and Cardiovascular Healthy from Nutritional Patterns and Psychological State Among Overweight and Obese Young Adults: A Neural Network Approach

The results provide empirical support for personalized prevention and treatment programs, accounting for individual differences with the aim of promoting healthy habits among young adults, especially during university education.

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Publication Details

Journal
Nutrients
Published
2025-08-15
DOI
https://doi.org/10.3390/nu17162651
Citations
2
Primary Topic
Health and Lifestyle Studies
Type
article
Field-Weighted Citation Impact
5.63

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article

Predicting Metabolic and Cardiovascular Healthy from Nutritional Patterns and Psychological State Among Overweight and Obese Young Adults: A Neural Network Approach

Geovanny Genaro Reiván Ortiz, Roser Granero, Laura Maraver-Capdevila
2 citations
Nutrients
Health and Lifestyle Studies
5.63
article

Predicting Metabolic and Cardiovascular Healthy from Nutritional Patterns and Psychological State Among Overweight and Obese Young Adults: A Neural Network Approach

Geovanny Genaro Reiván Ortiz, Roser Granero, Laura Maraver-Capdevila
article en
2 citations

Abstract

The results provide empirical support for personalized prevention and treatment programs, accounting for individual differences with the aim of promoting healthy habits among young adults, especially during university education.

NutrientsVol. 17(16)
Universitat Autònoma de Barcelona (ES), Universidad Católica de Cuenca (EC)
Institució Catalana de Recerca i Estudis Avançats
Openalex Percentile: Top 4%
Health and Lifestyle Studies
5.63
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